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Uncountable helps the world’s largest manufacturers drive innovation. The Uncountable Platform is an Enterprise-class cloud solution for modern global R&D organizations. Modernize your R&D workflows from disparate, dispersed data sets into an integrated R&D knowledge base. Unearth new learnings with visualization tools, and add predictive capabilities to your R&D toolset. https://www.uncountable.com/careers/

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A lone boy stood, staring at the star-speckled sky, his mind drawn to the girl just a few feet from where he lay. She was a beauty, that one. He couldn’t believe she was his. Every single thing she did screamed Art. The way she linked her fingers together, the way she smiled. The one girl who knew so much about him, yet… she didn’t shy away from his questionable past. As the emotions threatened to pull him under, he shook his head to clear his thoughts and face what was before him. “A shooting star!” She screamed in excitement as she pointed at that far-off speck in the sky, becoming larger and larger by the second. “That is no shooting star.” He managed to say, fear clogging his throat. He took in the lush grass swaying in the night wind, the beauty of the stars that more or less blotted out the sky. Then, he turned to look at the girl on the ground a few feet away. She was sitting up by then, fear morphing her once beautiful features into something unspeakable. “What is that?” Her voice quaked as she asked, and he closed his eyes momentarily to stop the bile from going up his throat. “Our death.” He said, not mincing words. His throat bobbed with unspoken words and something else underlying. “I’ve always loved you. I just- I just wanted you to know. This once.” He squeezed the words out of his mouth, wrangling them like one would do to a piece of wet cloth. “You? I’ve always seen you as just a friend.” She turned towards him then, his eyes red from tears. But he was grateful for that moment. He got her to look at him finally. And her eyes shone with regret. The screams came first as the she saw earlier was big enough to blot out the stars in the sky. And the heat. God, the heat. He felt as though he was being cooked from the inside out. shooting star The sky boiled like a cauldron; giant drops of fire rained down from the clouds, turning the lush green grass into something out of Hades’s fantasy. Blades of grass crumbled before his eyes. Withering without as much as a touch from him and fizzing out of existence, flames taking its place. The greenery is overtaken by the force that darkened the universe and turned rivers into lakes of fire. She screamed the most. He didn’t. He just watched the shooting star fall and gave a small smile. She was never his to own anyway. * Darren. That was his name. The man-boy with the power to manipulate space at his whims. He was a prodigy even among his peers in Earth 75. They had hoverboards to trapeze through space. That’s right, hoverboards. Fuelled with nothing more than gravel and sand. “Gloating again? That’s not very of you.” He rolled his eyes at the voice that came from just behind him. Glenna. His childhood friend. If you can count a hundred years as childhood. Before they settled—before the metamorphosis, they never grew older than the teenage age. But, after settling for five years and being a pain in the butt for half of those he called his cadre, he realized that he was ready for metamorphosis. But then, Glenna wasn’t. Hence, he had to stop halfway and wait for her to be. ladylike “I’m not a lady, for crying out loud. This is argument number what? Five thousand and seven?” He groaned, using flawless fingers to massage his forehead. Glenna just laughed as she walked towards him. Or, more like, she glided. She had more interest in the hoverboards than he did. The room was no larger than two children’s playroom, yet it had enough space due to his meticulousness. Not a strand of space is out of place, exactly how he wanted it to be. “Number five thousand and eight. You missed one.” She laughed, planting a wet kiss on his skin. He would have gone as red as beetroot if she didn’t deftly move the conversation elsewhere. “So, I need to weave a new dress. You’ve been called a genius for so long that it has become music to my ears. I need a strand of space to weave into a cloak I’m almost done making.” She tendered her request before him, and he took in her presence. She was young, after refusing the metamorphosis for the third time. Yet.. she had eyes of peace. The brown of her irises reminded him of worlds he hadn’t dared to touch for fear of breaking them apart. He’d seen them in his wakings. They were peaceful and oh, so beautiful. The serenity in them was what drew him to them at first. “Okay, I will. But why just a strand? Why not a whole chunk?” He asked as she raised her eyebrows at him, and he almost melted into the chair he sat on. If you can call it sitting. It was a haphazard view, an upturned table, yet he was upright. The world he’d come to know extended universes and eternities. It was a world of madness, but at least it was his. “One sec.” He said, raising his hand in mock surrender. Then, everything stopped. As his concentration cleared the level of the primordial beings, he tore a portal through the world. It was a red wiggly thing struggling to close, but he held it open with sheer willpower alone. When he found out that portals were alive, he decided to lord over them one way or another. They didn’t make it easy for him, though. While it wiggled, he stretched a hand into the portal and drew a strand out of that limitless vastness, loping it through his fingers like a struggling worm. It shimmered in and out of existence, blue like the untold skies, red as fiery dragons and demons of worlds he’d only read about. “Got you.” He smiled as he held a strand. Then, the world went to hell. Before he could remove his hand from the portal, it yawned like a gaping chasm and swallowed him whole. He was screaming, but Glenna was still in timeless mode. She wouldn’t know what happened. That is mercy. That has to be. Then, the world shut itself as the portal consumed the world he’d known all of his existence and winked out of reality. The screams didn’t come. Nothing did. * Carrion. That was his name. His name. His name. He tried to hold on to it, but it slipped out of his grasp like an eel, and he followed after it, crawling after his name with it on the tip of his tongue. What was his name again? Ca.. Ca what? What was his name? The man with scars lining his body like the universe's stars was lost. He tried to think. He tried to remember where he was. Yes. He was fighting Archanoid—the mother of spiders. One could even call her a deity. He dodged an incoming web made of madness and silk, woven with anger and hate. She was large, towering above him like he was a pesky fly. He hated that. He was the warrior who battled nightmares and abominations. He had to win. But then, what was his name? His name.. what was it again? He flew out of the way as an incubator shattered where he stood one second earlier. She wasn’t playing. “Foolish mortal. Do you think you can harm me? It doesn’t matter who you are, World Walker. You can’t escape from me.” She spoke, venom dripping out of those pincer-like things. They made a clanging sound as he swallowed, looking into those red eyes that had intelligence to them, something beyond the years. “One last chance. I will give it to you. Remember, pride and ego cannot win this war. Maybe you and the others can.” And then, before he could ask what she meant.. a scary sharp finger elongated from her finger, and she him out like a fly. flicked There was screaming. And then, there was nothing. * He woke up with a groan. There were several groans across him, and he was shocked to realize that he wasn’t dead. He wasn’t scorched. But he didn’t remember what his name was. He remembered her, recognized the girl who took him as a friend before the world became a sea of fire. Why, then, was he unhurt? The others stood on shaky feet, an otherworldly feel to them. There was something he just couldn’t place. They wore things he’d never heard of, or perhaps the dark skins rippling with fire and the darkness of the deep. Maybe it was the blades of darkness in the place where teeth were meant to be, but there was something.. out of place. One of them wore nightmares on his skin; he could see death. Death rippled with muscles and scars that seemed to blot out the skin. But strangely, he didn’t feel fear. “So, an explanation is in order?” He said to no one in particular. Even the being who looked as though he was 25 and 15 at the same time. As though the world couldn’t decide on his age and let him be both instead. He noticed that this being wasn’t standing on his two feet. He was.. hovering. “We’ll see soon enough.” A boy his age spoke, and he stared at him in wonderment, wondering how alike they were. The way the boy squinted made it glaring that he used glasses to see. Same with him. Even though he didn’t even know their names, they were about ten. Some had hands for feet, and others weren’t even walking on the bare ground. They just.. existed. There was no way to explain their existence, so he didn’t bother. “An explanation.. for this. All of this.” Another boy spoke, and he didn’t balk this time. He just waited. “Here it comes.” The boy who spoke was already running. “Here, what comes? What?” He asked, but everybody else had cleared out of that barren field. The world he was in was empty. There is no sign of green. No sign of brown either. It was as though the world was drained out of colour, and no matter where he looked, despair loomed. He felt them before he saw them. He knew who they were before they spoke. And even without an introduction, he knew everything about them. The Destroyers Of Worlds. They smiled; one hovered just like that man-boy. One had skin with uncountable scars. And then, he saw himself. That cruel smile, that deadly presence. He felt a chill that had nothing to do with the weather. Someone dragged him by the scruff of his hood, and he felt.. everything. There was no other way to describe what happened. Then, he turned to stare at the other him with a cruel smile as that being let out an inferno where he was standing a moment before. It was… hot. But strangely, he wasn’t burning. He wasn’t even singed. He was.. okay. The man-boy dropped him on the ground unceremoniously, and he muttered his thanks, but the others just raised their eyebrows, staring at the beings beyond them. Beings with their faces. Beings with enough power to destroy universes. It was them. Ageless. Timeless. With a snap of a finger, they were gone like they didn’t just lay waste to a large expanse of space. “I think I know what’s going on…” A tenacious finger went up, and the squinted boy was allowed to speak. “That is us. Timeless us. And.. we destroyed our universes. Now.. we have to fight against the us that are world destroyers.” “We don’t have a choice to decline?” The man-boy asked. “We have doomed worlds. This.. is penance.” The boy spoke again, his eyes filled with trepidation and resignation. “So, we were summoned here to kill our future selves? That’s a sick sense of humor.” “This world is sick, and when the Arachnoid told me, I didn’t believe it.” The man with the scars spoke, and his scars seemed alive, melding with his body. “Can you tell us what an Arachnoid is?” Another asked. So, he told them. Everything. “Pride and ego, huh?” A guy spoke, and they finally understood what they had to do. “This is depraved. All of this. Depraved. What the hell?” He spoke, shaking with anger. “Hell doesn’t exist, apparently. Future us made sure the world became it.” A brittle laughter from the man-boy. “This is it, then? We die in a land of no name? Our names were stolen from us. I can’t dredge up a single memory.” The scarred man said, eyes smouldering. I could tell he was pissed off. “This is our penance.” The squinting boy said again, and I was tempted to throw him out of the universe. Such a goody two shoes. “I don’t care. Whatever I have to do, I will do it. And it doesn’t matter who’s on the line. I have to go back home. Also, you can’t fight fire with water. Not in my world, anyway. It takes a monster to kill another. We will take the unorthodox approach. Did they want to seclude us and destroy us? World Walkers, indeed. Bastards more likely. I won’t take that. Neither should any of you. We have the power. Can’t you feel it? We can change things.” The man-boy spoke fervently, his eyes filled with loss, anger, and something else. “That’s right. We won’t let them decide for us. If we have to die, we might as well raise hell before we do. Now, we need a name.” The hooded boy spoke, and the others nodded in approval. “How does sound?” There were hoots of approval, some going as far as clapping. Then, they stared at the sky at once. Drained of colour. But then, the World between Worlds had always been a resting place for World Walkers. The Restorer of Worlds They had to fight. And this time, they had to fight themselves. Their memories returned, and they could see themselves in the past, present, and future—the Destroyer of Worlds. No more. They decided not to make the same mistakes. Not again. This time, they’d restore all they destroyed. As the squinty-eyed kid said, it was penance.

PENANCE 

Metaphysics and Mathematics: The Intricate Web Connecting the Two

মেটাফিজিক্স অ্যান্ড ম্যাথমেটিক্স: দ্য ইনট্রিকেট ওয়েব দ্য কানেক্টিং দ্য টু

Metaphysik und Mathematik: Das komplizierte Netz, das die beiden verbindet

Metafísica y matemáticas: la intrincada red que conecta a las dos

Métaphysique et mathématiques : le réseau complexe qui relie les deux

तत्वमीमांसा और गणित: दोनों को जोड़ने वाला जटिल वेब

形而上学と数学: 2 つをつなぐ複雑なウェブ

형이상학과 수학: 둘을 연결하는 복잡한 그물

Metafísica e matemática: a intrincada rede que conecta as duas

Метафизика и математика: сложная паутина, соединяющая их

Metafizik ve Matematik: İkisini Birleştiren Karmaşık Ağ

Siêu hình học và Toán học: Trang web phức tạp kết nối cả hai

形而上学和数学：连接两者的错综复杂的网络

EVE'S DIARY

184 Stories To Learn About Psychology

Let's learn about via these 51 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Life /Learn Repo Stories on biology, philosophy, rationalism, illusions, deceptions, metaphysics, happiness, and other stuff. 1. Before and After the Internet 2. The Simple Life of Humans The Pursuit of Simplicity Only Serves to Manufacture Our Consent, Not Our Understanding. 3. Mission: Earn 1 BTC and 1 ETH in One year. How I Did It. This is own life story of how I managed to accumulate a Bitcoin without any financial investment. 4. 5 Things I Wish I Knew When Learning to Code From dropping out of college at the young age of 20 to co-founding a deep-tech startup, the last 5 years have made for a convoluted and enlightening journey. All this while, coding has been a constant positive in my life. 5. An Evidence-Based Guide to Nootropics and Cognitive Enhancement [Comic] After years of listening to people preach misinformed rubbish about nootropics and cognitive enhancement, I decided to do the responsible thing and write a comic to preach myself. 6. A Day in the Life of an SEO Consultant Working in the field of optimizing a website can mean a lot of things, but it’s definitely never boring! Here are some things that SEO Consultants do daily. 7. Today Is My 33rd Birthday: Suprise, It's Life! I have never been on Hackernoon before, it was just one of those things that my endless cycle of mad clicking, ADD inspired pursuits of I don't know what don't me here moment. It's April 28th and I have finally been able to mildly celebrate my birthday for the first time in 3 years... Yeah, that's right! 3 years. I'll get to that in a sec. But I wanted to let you all know that I have first completed my first semester of college courses. Just 2, no biggie. 8. A Guide to Becoming More Confident in Job Interviews (and in Life) One of the most common pieces of advice given to jobseekers is to “be more confident.” But what does that really mean? And how can you do it? The truth is, conf 9. Change for Better: The Exponential Art of Kaizen Kaizen is deceptively simple and utterly brilliant. 10. What is Expressive Capital and Why is it Important? The most vital currency in today’s age is expression. I found the term “expressive capital” when reading Hugh MacLeods’ book, “Evil Plans”. It represents an attribute that some companies make use of on their products. Basically, the more personality and expressiveness the product has, which resonates with you — the consumer — the more valuable that asset is. Therefore expressive capital is a relevant metric. 11. Our Storytelling Platform Built On ‘Kokorozashi’ Dear reader, Even though we do not want to believe that you do not know yet about HeadUP, we kind of understand this eventuality and the reason(s) why; and it is all fine, no hurt feelings (not like these guys below)... 12. Don't Have Time for the Things You Love? Here's How to Solve That The surefire way to ensure you always have time for the things you love doin. 13. 6 Reasons Why You Should Switch to Green Energy Switching to green energy is easier than the decision may initially seem to you and it offers benefits from saving money to indirectly improving your health. 14. Motivation from Mathematics: Hire for Slope, not Y-Intercept Forget about the y-intercept; slope is the only thing that matters in the long run. 15. Becoming Consistent Becoming Consistent 16. Jack Pullen Shares 3 Critical Mistakes Holding You Back in Life Jack Pullen is a young motocross rider specializing in both 65cc and 85cc categories. 17. The Psychology of a Programmer Program, what an interesting concept more than a word. It has been used so endlessly in the life of you and I so many times, that is has become uncountable. If we begin to deconstruct it, therefore to understand its core, we can say that it is a specific set of operations of tasks, commanded or ordered for a computer to perform. 18. TikTokking Alone Two things made me start thinking about the current state of social media. 19. Should I stay in a Toxic Workplace? A question that many people face in today’s toxic workplaces is — “Should I stay? Even though I know that my workplace is toxic.” 20. Survey Says: Only 7% of Developers Want to Work for FAANG 47% of developers say the community’s biggest problem is bad project managers. But that's only the beginning. 21. Do Goldfish Sleep Like Humans Do?  - No Eyelids, No Problem Yes, goldfish do sleep however they do not have eyelids and sleep from the bottom of the tank about an inch above the gravel. They do sleep but not like us. 22. Life Spoilers: Nobody Knows What They're Doing In an uncertain and polarised world, some things are worth remembering. 23. The Living Metaverse A boy feels the misty, ocean breeze against his face as he looks out across the ocean and watches his friend’s boat disappear into the horizon. He will see her again tomorrow. 24. I Never Thought Compassion Would Pay Me Back in Such A Wonderful Way As soon as the World Health Organization declared Corona Virus to be a global pandemic, there was an immense quick heat fired up around the globe, with people being highly concerned about their survival amidst these hard times. People actually started to stock up for months, according to CNN, grocery stores ran out of the daily use products, and basically, it was all depicting the scenario of the end of times. 25. Natural Selection Vs. Intelligent Design: A Physicist's Perspective Our ability to come up with random numbers can reveal if we are part of a design in disguise. Are we? The age old question is in the reach of quantum biology. 26. Mortality, Grief, and Everything In Between The unedited ramblings of an adolescent's mind as he tries to figure out what the fuck is going on. 27. Clarity is the Best Tool to Amplify Your Outputs Planning ahead and having clarity about what you want to achieve can save you time and increase your outputs, especially as a leader in a large organisation. 28. Will Digital News be the Death of the Printed Newspaper? Printed newspapers have been around for a long time, some newspapers appearing as early as the 16th century namely in Germany. However, they quickly gained in popularity outside of Germany in countries like the United Kingdom, Italy, Sweden and France. 29. Rediscovering Focus: How I Did It After years of distractions and poor decision making. I rediscovered the art of focus. I realized that if I did not plant my butt in the chair, I would fall behind in my ambitions. Since October of last year, I have been taking serious action to improve my attention span and my ability to do deep work. 30. Why We Shouldn’t Confuse Narcissism with Self Love t is important not to confuse narcissism with self-love because they are two very different things. Narcissism is a personality disorder characterized by an inf 31. Ikigai: The Japanese Philosophy To Find Purpose Ikigai (生き甲斐) is a Japanese concept that means your reason for being. ‘Iki’ in Japanese means ‘life,’ and ‘gai’ describes value or worth. 32. 8 Lessons From My 9 Years in Tech 8 lessons from my last 9 years in tech, lessons which I have learned the hard way and have been instrumental in my journey through the tech industry. 33. A Quantum Bridge Between Subjective And Objective Realities The objective reality of science consists of subjective quantum realities. What if it is true for all life experiences? 34. Embrace the Wisdom of Japan: 10 Experiential Secrets to Living an Incredible Life in 2023 . By learning and implementing these experiential secrets from Japanese culture, you can take control of your life and make the most of every moment. 35. A True Story About How Stoicism Saved a Prisoner of War: 7 Tips for Your Own Life Stockdale had no reason to think that the day’s mission was to be anything unique. 36. Finding Nemo? No, it’s finding the real MVP - Neon Tetra! The neon tetras’ bright colors of blue and red would make it very visible to other neon tetras. This was a great adaptation to help them locate one another. 37. My Experiences with Overcoming Depression Overcoming depression is a long and challenging process. Here’s what else I have learned. 38. Third World Engineers VIII: Romancing the Visa Almost everything you need to know to migrate as an engineer. 39. 'If We Don’t Systematically Re/Up-Skill, We're Condemned to Become Irrelevant': Roxana Murariu It is remarkable how Alvin Toffler predicted in the 1970s this trend of reinventing ourselves periodically through learning, unlearning, and relearning: Roxana. 40. Comfort Zone: There is No Magic Outside It You must have come across the images of Venn diagrams depicting the intersection of comfort / discomfort as Magic Zone. I don’t quite agree and that’s where the problem begins. This is the area where the specter of Inner Critic lurks around with self-doubt ready to make you question your efforts and belittle everything you have achieved so far. 41. Why Everyone Needs an Avatar in a "Socially Distant" World Imagine a future where everyone has a virtual character that they use across multiple platforms. Social media, video conferencing, games, and other online spaces. 42. Exploring the Art of Creativity Creativity is also more art than science, so we need plenty of time to experiment and fine-tune our experiences. 43. Dangers to Avoid for the Sincere Aspirant Towards Life How to Live on 24 Hours a Day, by Arnold Bennett is part of HackerNoon’s Book Blog Post series. Chapter XII: Dangers to Avoid 44. Humans Versus Machines: How Our Relationship With Technology Will Pan Out March 30, 1853. Vincent van Gogh was born. He is one of the most recognizable and influential painters of all time. But, what’s the link with human and machine, self-awareness and self-isolation? Well, something happened last week that made me question the way I think about our relationship with technology. And this started with Van Gogh. 45. Shoshin: How To Foster This Zen Concept In Companies and Personal Development Shoshin is a Zen concept that companies, science researchers or regular people can practice for a better mindset. 46. Unpacking (Indie Game Review): A Meditative Stress Buster Unpacking is a meditative puzzle that allows you to find something exciting and emotional in the familiar. 47. Harnessing the Power of Shutdown Rituals Do you have a clean break from work at the end of the day? Or does your work life tend to bleed into your personal life, creating a sense of never-ending stress 48. "It's What You're Thinking. It's Not What You Have," — Focus.ceo Founder on Courage & Resilience What if that one thing we sometimes take for granted is exactly what we need to focus on even more? 49. Mastering the Meta-Skill of Learning Few adults have been trained in the core skills and mindsets of effective learners. How do we learn to learn then? 50. Life Hacks You Wish You Knew Growing Up In this thread, our community shared the main lessons they've learned throughout lo life - from exercising to investing in education and seizing the day. 51. Nothing in Life is Humdrum How to Live on 24 Hours a Day, by Arnold Bennett is part of HackerNoon’s Book Blog Post series. Chapter X: Nothing in Life is Humdrum Thank you for checking out the 51 most read stories about Life on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

51 Stories To Learn About Life

122 Stories To Learn About Motivation

THE KERMES OF THE OAK

Star-Clouds, Star-Clusters, and Star-Streams

IN SUMMER STAR-LANDS

A Short Story "Hi, sugar baby." Me: Friend: "Hello." "How is it going with the targets we talked about getting new clients?" Me: "I have been trying. Only for this AI thing... I have lost two opportunities to work already." Friend: "What do you mean, " Me: AI thing? "I mean, the AI tools that are used to test to see if the contents are genuine or not." Friend: "Oh, of course. So, how does that concern you? You are one of the finest and most badass writers I have had the privilege to work with over the years." Me: "So did I, until some content AI originality-checking tools said my works were too perfect to have been written by humans." Friend: Intro We have been lied to when told that AI will not take away our jobs. Real-life testimonies and experiments prove that AI tools have been robbing humans of jobs. Well…, and will continue to do so. The above chat was a conversation between a friend, who is a colleague, and me. She writes smartly and uses different AI tools to support her content creation process, such as checking for plagiarism, fixing complex grammatical issues with content, and making content readable. However, she has never spun an article to rewrite it or cheat the writing process. In fact, she did not bother to sign up for or use ChatGPT because she considers it a professional cheat. She had lost two opportunities to land two potential clients because the client uploaded her content to an AI tool that could allegedly judge whether the content was AI-generated or human-generated. The client did not read the entire document. He only lets the AI do the job, and her work came back as AI-generated. Disappointed and confounded, she asked for the tool and tried it herself. To her surprise, the result came back affirmative as being AI-written, about 95%. She tried another, too; that had a lesser score but also said it was mostly AI-written. As she made some adjustments and rechecked, she had a typographical error, and the score came back as 75% humanly written. She saw the error and fixed it; the score went back to 95% AI. The logic behind this particular tool turned out to be that human-written content contains flaws and errors. Wow! So, what is the point of grammar and other writing aid tools? It looks like the developers never thought about that. First, it was the reCAPTCHA I thought it was funny and ironic that machines now ask humans to confirm that they are humans. First, it was the reCAPTCHA images, letters, signs, and ticks to prove to machines (web hosts) that we are humans. Resume Scanners/ATS I decided to experiment with different resume tools (Applicants Tracking System, or ATS) to scan my resume and see the eligibility of my competence for a particular job description. First, it was resume “Worded” too. Truly, the tool identified some weaknesses in the uploaded resume. My challenge, however, was that the AI could not pick up important sections of my work, such as skills. I used "skills" and varied it with "professional skills," and "skills (professional)," but the tool couldn't even recognize these labels as headers. Its absence made it score low. Furthermore, it identified headers (job titles and roles) as bullet points explaining job descriptions. Hence, the recommendation to start each bullet point with "action verbs" is illogical. In case you are wondering if I put a bullet before the enterprise where I had worked and the roles, no, I didn't. There was also the issue of the brevity of points. I was to cut bullet points short, which is relative anyway. If you've ever written a resume, you know how difficult (almost impossible) it is to discuss actions, roles, and impacts of your role in measurable metrics in 15-20 words. Ironically, in the example given by the tool on how to start a bullet point with an action word, it was longer than most of what I wrote. Following all recommendations, the resume still got hooked on an 80-margin score for this particular tool. The tool only considers a 90% score and above for jobs. I tried another ATS tool, whose only option was to pick up keywords in the document, not sections. It failed to use a contextual analysis of words, sentences, and phrases. It fails to identify synonyms or alternative words for all possible dictionary words that an applicant can use! For instance, if the job description required a degree in a related course and the tool was encoded to scan for a "university degree," if you had a college degree in a related course, you could be disqualified. However, if you mention that you worked as a teaching assistant at a university, even if the field is irrelevant, your resume will pass to the next review stage. Taleo is one of the ATS tools used by top companies such as Toyota, Starbucks, Amazon, and several other companies. It uses the principle of keyword scan and keyword density (the frequency of keywords of interest. Grammar and Writing Aids In the early days of Grammarly, if you submitted your work to a client before a personal review, they would upload it to Grammarly and tell you it had a low score (often less than 90)—the same Grammarly that has trouble identifying how to use a verb following an uncountable noun. The same Grammarly that picks popular words as inaccuracies and suggests that you delete or replace commonly-used words (not necessarily in that context). Sometimes, it has no alternative suggestions for the same word it flags as a "word choice" error. The same AI tool that does not fully understand your writing tone or audience but picks passive voices as errors. On this, you will agree that the parameters in the "Goals" section are very limited. Grammarly marks every passive verb form as an “issue”, disregarding the tone or setting of your document. Some clients would even expect technical and industry-niched content to have the readability score of a basic school pupil. The same tool is the judge. Why do they think so? Because they assume that a higher readability score ALWAYS means content can be better understood, neglecting the target audience demographics. Plagiarism Checkers: Copyscape Pass!!?? 🙃 "Copyscape pass" was a popular addition to many job postings on freelance platforms in those days. It didn't matter if the idea was popular, if you wrote it your way or in your style, or even if you had first-hand knowledge of the subject; you lose the job or the client if Copyscape flags it! 1text.com may also be one of the most notorious plagiarism checkers in the AI content generation tool market. This 'guy' picks on strings of words and phrases as plagiarism. Hence, it is difficult to have an accurate score if you are writing technical articles on a specific industry or tool. For instance, in writing about JavaScript as a programming language, you must mention some words. 1text.com does not care whether your style, grammar, or context differs from other sources on the internet, nor does it care about your presentation. As long as there are similar word strings in one or two sentences, you are a culprit ⸻a plagiarist! RIP to the jobs AI made humans lose! The Sun Never Rose on Some Jobs So, our jobs are being snatched from us not because AI is replacing our many abilities as individuals but because it continues to stand in the way of opportunities that our skillset could have earned us. They are stolen right from our hands before they even land. Yet, the AI tools themselves cannot do those tasks as well as we can. No two AI tools are exactly the same, but we are at the mercy of fighting for slots with tools with different algorithms. It would be luck and chance that an applicant plays right into the tool the recruiter is using. Sadly, executive customers and clients of these professionals do not know this. Typically, there are business executives who barely have enough time to perform their essential functions but believe AI is perfect and makes the best decisions. So, as a content writer, I submit an article to a SaaS company executive, and he does not read it but uploads it to a plagiarism checker interface to check if it is original or not. Unfortunately, this man does not even know the judging criteria for what makes an AI tool reliable. For many digital content creators, AI can be a bad market in this regard. These tools are built with algorithms that capitalize on human weaknesses as though there are no other tools to help humans overcome their oversights and weaknesses. It becomes apparent that the level of creative thinking of an application development team determines how the application will function. The limit of the developer's wisdom is the application’s limit. Some deserving candidates will not advance in the industry unless humans stop jeopardizing human efforts and use meaningful algorithms and datasets to instruct their AI models. It is not AI vs. humans; it is . humans vs. humans with AI being the weapon A person who has an idea about developing an applicant tracking system for employers has not done well if all they do is sit with a team of top HR executives on desired qualities. They must also speak with employees and job seekers. Otherwise, those who will be employed will be those who can beat the system, not necessarily the best hands. Most of your software that undermines human efforts only want to sell more value to you in the name of a "premium" package. Don't tell me, "those who beat the system are the best hands." Oh, please; don't get me started! I have seen terrible product descriptions on Amazon and seen wrong information or inconsistent styles on . Google's first-page results I have seen spelling errors and grammatical blunders on some of our most respected information outlets on the internet. However, in a capitalist-tech world, managers and senior-level executives do not explore all the possibilities of a tool before adopting it. As long as a tool has a huge fund-raising and is sponsored by prominent tech names, it is assumed to be an authoritative application system. The Future I believe the future of artificial intelligence as an independent entity is impossible. However, the greatest potential of AI tools will be realized in full collaboration with humans. It is not to marginalize humans or continue to oppose them. I believe it is to support humans. AI startups and tech giants have to stop developing AI tools with the ambition to "catch" a culprit and instead use them as a tool to foster human collaboration and business development. Also published here

Real-Life Stories About AI Taking Human Jobs

এআই-এর মানুষের চাকরি নেওয়ার বাস্তব-জীবনের গল্প

Geschichten aus dem wirklichen Leben über KI, die menschliche Jobs übernimmt

Historias de la vida real sobre la IA tomando trabajos humanos

Histoires vécues sur l'IA prenant des emplois humains

एआई मानव नौकरियां लेने के बारे में वास्तविक जीवन की कहानियां

AI が人間の仕事を奪う実話

AI가 인간의 일자리를 빼앗는 실제 이야기

Histórias da vida real sobre a IA tomando empregos humanos

Yapay Zekanın İnsan İşlerini Ele Geçirmesine İlişkin Gerçek Hayat Hikayeleri

Những câu chuyện đời thực về AI cướp đi công việc của con người

关于 AI 抢走人类工作的真实故事

After two years of the pandemic, Gamescom has finally returned, and not without plenty of highlights. Each year, Gamescom attracts hundreds of thousands of attendees, and 2022 promises to be no exception. Featuring a wide range of events, announcements, and presentations, Gamescom is the highlight of the game industry calendar. In addition to bringing you the latest gaming news and announcements, the convention also lets you try out some of the most anticipated games that won't hit the market until much later (e.g., System Shock and A Plague Tale: Requiem). In the absence of E3, Gamescom 2022 is likely to be the biggest and most notable gaming event of the year. We attended the convention in Cologne, Germany, over the weekend and bring you some of its best highlights. Gamescom 2022 Highlights 1.   Age of Empires IV - Ottomans and Malians Update 2.   The Callisto Protocol New Gameplay Reveal 3.   Off the Grid - A Cyberpunk Battle Royale 2.0 Shooter 4.   Lies of P, Pinocchio-Inspired Steampunk Adventure 5.   Bandai Namco Lineup 6.   Moonbreaker Presentation 7.   THQ Nordic, Alone in the Dark, Wreckreation, and other games 8.   Dune Awakening Announcement 9.   Indie Games 1. Age of Empires IV - Ottomans and Malians Update One of the biggest Gamescom 2022 surprises for RTS fans is the coming of two new civilizations to the Age of Empires IV. The addition will be a part of a free anniversary update expected on October 25 this year. The trailer shows that Malians are introducing spear throwers and spear and shield wielders, while Ottomans are using new types of powerful siege units and a new kind of horseback unit. The update will coincide with the arrival of Season 3, which will also bring two new map types into the game. 2. The Callisto Protocol New Gameplay Reveal The Callisto Protocol is . With The Callisto Protocol, the developer Striking Distance aims to redefine the survival horror genre, and from what we've seen at Gamescom, it appears that they might succeed. one of the most anticipated sci-fi horrors of the year During Opening Night Live, Glen Schofield, the studio’s CEO, revealed a new gameplay trailer showing some combat elements, including stealth techniques and melee combat. The trailer ends with the main character sliced up by a giant fan at the end of a waterslide trap, which only adds to the overall goriness of the game and makes you wonder how you can escape this trap. The Callisto Protocol will release on December 2. 3. Off the Grid - A Cyberpunk Battle Royale 2.0 Shooter Off the Grid is one of the most exciting and mysterious projects announced this year that received significant attention at Gamescom 2022. Developed by and envisioned by Neill Blomkamp, District 9 and Elysium director, OTG is a cyberpunk Battle Royale 2.0 shooter game set in a dystopian future. According to game developers, an essential aspect of OTG's evolution is a strong emphasis on narrative progression, allowing players to control the story and influence gameplay via their choices. Gunzilla The game will allow 150 players to fight on a constantly evolving map, and players will be able to craft, customize, and trade their in-game items with other players. The OTG booth at Gamescom didn’t reveal any trailers but, through theatrical performance, allowed us to immerse into the game’s world run by corporations and make your initial choice of the faction you want to fight for. OTG will come to PlayStation®5, Xbox® Series X|S, and PC in 2023. 4. Lies of P, Pinocchio-Inspired Steampunk Adventure Lies of P, a Pinocchio-inspired action game announced in May by developer Round8 Studio and publisher NeoWiz, received much attention at Gamescom. The creators allowed the game to be tested on the booths, presented a new trailer, and announced plans to release it on Game Pass. Lies of P is an action-adventure game set in a dark Belle Époque world. During the game, the players will be put in situations where lying is needed to protect the protagonist and others. The official gameplay trailer revealed at Gamescom shows the complex world with steampunk-inspired surroundings and dynamic combats. Lies of P received the Best Adventure Action Game and Best RPG awards and is coming to PlayStation, Xbox, and PC in 2023. 5. Bandai Namco Lineup Bandai Namco brought three games to Gamescom 2022-Park Beyond, The Devil in Me, and One Piece Odyssey. All three games were playable at the company’s booths and attracted many visitors. Although each game was fun, our personal favorite of the trio was Park Beyond, a theme park simulator with advanced coaster-creation tools, colorful maps, and vivid characters. The game provides highly customizable rides, story-driven campaign modes, and in-depth analysis tools such as expense data, visitor feedback analysis, and monitoring of visitor trends. The game will come to Microsoft Windows, Xbox Series X and Series S, and PlayStation 5 in 2023. 6. Moonbreaker Moonbreaker is a digital tabletop miniature turn-based strategy game that attracted much attention at Gamescom. Developed by Unknown Worlds, the developer of Subnautica, and based on a new world created by bestselling author Brandon Sanderson, Moonbreaker is a game that can win millions of hearts and last for years. It is a tabletop RPG in which players collect, paint and battle their miniatures of fantasy and sci-fi creatures. The game is not based on any existing tabletop game and introduces a new world with its lore, rule set, and creatures. Moonbreaker will be available on PC and macOS for early access on September 29. 7. THQ Nordic, Alone in the Dark, Wreckreation, and other games Austrian video game publisher THQ Nordic came to Gamescom 2022 with an impressive lineup of nine games, two of which, Alone in the Dark and Wreckreation, attracted the most attention from the press and visitors. Alone in the Dark is a reimagination of the classic horror game that lets you experience a haunting story through the eyes of the two protagonists. Set in the 1920s, the game takes you on an exploration path to solve the mystery of a missing person. Along the way, you’ll encounter monsters and solve many puzzles. Inspired by Burnout and Need for Speed, Wreckreation is a 400 kilometers big racing world that players can modify, shape and wreck. Wreckreation aims to be the ultimate racing world experience, where you can create tracks and race them together with other players, crashing and pulling off dizzy stunts along the way. Other notable titles from THQ Nordic presented at Gamescom are , , and . Outcast 2 Destroy All Humans! 2 - Reprobed AEW: Fight Forever 8. Dune Awakening The first trailer for Dune: Awakening was revealed at Gamescom 2022 Opening Night. There aren’t a lot of details about the game yet, but it seems that Dune: Awakening is going to be a survival MMO game set on the desert planet of Arrakis, where the main story of Dune is set. You can join factions, find and make alliances with players, manage your resources, and explore the planet. A significant element of the worldbuilding of Dune: Awakening is sandstorms that must be considered when building, as they can drastically reshape the environment. Dune: Awakening will be available on PC, PS5, and Xbox Series X/S, but no release dates have been announced yet. 9. Uncountable Indie Titles Along with AAA games presented by big studios, Gamescom was also a showcase for some great-looking games from smaller publishers and developers. , an award-winning indie video game publisher, is one of the most notable participants of the expo, which brought several interesting playable demos of the upcoming games. One example is Deadsuit - Ghost Song, a sci-fi horror platformer in which you go deep beneath the surface of the desolate moon of Lorian, battling strange creatures and uncovering the secrets of the ancient alien world. Humble Games But, perhaps, everyone’s favorite of the indie section was Vikings on Trampolines. The game is precisely what its title is and lets you control a bunch of Vikings bouncing off the trampolines, attempting to stay alive by avoiding the ground. The game is as fun as it sounds, and after Gamescom 2022, it is one of the most anticipated indie titles of the year. Final Thoughts on Gamescom 2022 After two years of no significant gaming conventions taking place in real life, Gamescom feels like a breath of fresh air. Packed with events, hundreds of announcements, presentations, and dozens of playable demos of upcoming games, Gamescom is the largest gaming convention in the world that is worth attending in person and paying attention to. Picking the highlights from such a densely packed program is challenging, but we tried to do our best to inform you about some of the most notable events and announcements from the event. Hopefully, you found these highlights exciting and are now looking forward to playing some of the games presented at the convention. You can find more information about the event on its . website

Gamescom 2022 Highlights You Can't Miss

Faits saillants de la Gamescom 2022 à ne pas manquer

गेम्सकॉम 2022 हाइलाइट्स जिन्हें आप मिस नहीं कर सकते

見逃せない Gamescom 2022 のハイライト

Destaques da Gamescom 2022 que você não pode perder

Gamescom 2022 Điểm nổi bật bạn không thể bỏ lỡ

Gamescom 2022 亮点不容错过

From Beeples’s $69.3m artwork to Jack Dorsey’s $3m tweet to random selfies and toilet paper, NFTs are selling like the most expensive collection of antiques. And why would it not when people all over the globe have welcomed the innovative NFT movement with their arms wide open. The word NFT has been uttered so much in the recent past that even my grandmother seeks to know more about it. Although, frankly speaking, this doesn’t surprise me, what is rather more surprising is finding people who haven’t yet heard of NFTs. Particularly after considering the awareness and well-known use cases that came with it. Nevertheless, read along if you are one of those kind of person. “what the heck is an NFT?” What is an NFT? Any unique digital asset stored on the Blockchain is called an NFT or Non-Fungible Token. Unlike fungible commodities like the U.S dollar, no two NFTs are similar. For context, a U.S dollar can be exchanged for another U.S dollar since every dollar is equivalent to each other(i.e., fungible). In contrast, no two NFTs can be exchanged or traded against each other; since all are unique, this confers rarity to NFTs, and hence the term Non-Fungible. Why are NFTs important? Beeple once said, “Without the NFTs there legitimately was no way to collect digital art”. Not just digital art but owning any digital object like avatars to even land in virtual worlds was impossible without the NFTs. NFTs made it possible to prove digital ownership, which is virtually impossible to manipulate. We live in a digital era where scarcity is notoriously difficult. It is extremely simple to share, distribute and replicate content across the internet. But how easy do you think it was to prove ownership of the distributed content? How often did you find that the actual creator of content was tagged? Questions such as this remained unanswered before the birth of NFTs. But NFTs came out to be the solution to such questions — giving the original creators a certificate of authenticity and ownership that can’t be forged otherwise. NFTs are truly a paradigm shift in how digital art and online media live. Now digital artists can effortlessly monetize their digital art pieces and engage in creative business opportunities that never even existed before. Indeed, NFTs have given a new lease of life to digital art, but as with all things new, there are some problems with the NFTs — some serious flaws — flaws serious enough to keep you at bay from investing in NFTs. 5 NFT Flaws Dive right into the below flaws and choose whether you want to be an NFT owner or not. 1. Highly Unpredictable Value Even experts go-off-the track while predicting the value of an NFT; since values are based on pure speculation in the chaotic NFT market. As a result, there’s no place for fundamental analysis, and prices purely rely on what the other person is willing to pay. You must be as lucky as Kylie Jenner( sometimes even more) to win the NFT game. Luck is the most critical factor in the NFT world. Hence you must only consider dipping your toes into it if luck favors you all the time. 2. Risk Of Fraud As the NFT marketplaces continue to see, more funds coming within its systems, the likelihood of scams is also sharply increasing. Just 2 months ago, Instagram account was hacked, and about $3m worth of NFTs (according to ) was stolen from the users as the perpetrators redirected them to a fraudulent site. Bored Ape Yacht Club’s Coindesk While there may be uncountable ways for fraudsters to steal your money in the NFT space, the most pervasive and that have plundered the most amount of money are listed below- Rug Pulls Pump and Dump schemes Fake NFTs Fake NFT marketplaces I will be lying if I give you any tips to protect yourself from any one of these scams because there aren’t any. So the only way to stay protected is to stay on the sidelines, at least for now. 3. Distatasteful Gas Fees Imagine going out to buy a car with your family and getting asked by the car vendor to pay as much tax as you paid for the car. What would your reaction be like? I would certainly lose my senses. This phenomenon is very common in the NFT world, where gas fees could sometimes be even more than the value of the NFT itself. For example, in a not very distant incident Yuga Labs the creator of presented their latest NFT venture called the purchasers of which had to . Bored Ape Yatch club, Otherdeeds — pay five times more gas fees than the price of the NFT itself Before hopping onto the NFT bandwagon, jot it down that you not only need money to buy an NFT but also to create and sell one. 4. A Little Liquidity And Unimaginable Volatility When trying to resell an NFT, a user might have to wait months or even years to sell his NFT. Since NFTs are all one-of-a-kind, it could be a daunting task to sell your NFT until you find a buyer. In addition, NFTs are highly volatile — for instance, thousands of dollars’ worth of NFT could turn worthless in a few minutes and Vice-versa. Do you know the story of Malaysian Businessman Sina Estavi? He is the man who purchased Jack Dorsey’s first tweet, NFT, for $2.9m. Months after purchasing that poorly spelled NFT, Estavi’s attempt to resell it went aground. The NFT hardly fetched a bid of $7000, which seems to be galaxies away from his $48m sought price tag: as reported by Bloomberg. 5. Environmental Impact For most of you, this reason would be more like a piece of information than an actual problem. And I also know I can do nothing to stop you from thinking that way. But it is immensely pertinent that you at least know how NFTs harm the environment- maybe this could change your mind. NFTs aren’t themselves a threat to the environment, but the underlying process involved in their production causes environmental damage. Minting NFTs is a highly energy-intensive task that uses heavy amounts of electricity. Any energy-intensive process is linked with exacerbating climate change by adding to the atmosphere’s CO2 emissions. Conclusion Though I walked you through some of the most critical NFT flaws, it would be a sin to dismiss the technology behind it as a short-term phenomenon. NFTs have transformed how digital assets are treated and brought about scarcity and authenticity among them. NFTs allow creators and owners to interact and sell their work directly to their customers without involving a third party to do the same for them. This article highlights flaws related to just investing in NFTs, but if you look at it from a non-investor perspective, there are more reasons to love NFTs than you can count. This article was first published here.

5 Issues With NFTs To Be Wary Of

For many years, both PHP and JavaScript have been on top of web development technologies popularity lists. These languages have a large audience, there’s no shortage of developers using them daily, and the number of projects implemented with their use is uncountable. Besides, there are dozens of pretty popular frameworks that allow developers to make more with less coding, such as Laravel (PHP) or React (JS), for example. The thing is, PHP and JS are often considered phenomena from different worlds. JS is often seen as a tool exclusively for creating the frontend part of the web application and implementing user interaction functionality. PHP, in its turn, is a server scripting language that steers everything related to the back-end. However, there’s a scenario where JS and PHP can compete in the same field. Node.js is a JavaScript framework that enables executing JS code on the server, making it an alternative to PHP. Today, we’ll consider both these technologies’ main pros and cons and the types of projects they will better suit. Node.js. Great Performance with Some Limitations The first of comes from the very nature of this JS framework. Many programmers already know the JavaScript language or intend to learn it. For almost a decade, all developer surveys have shown that JavaScript is the most popular programming language worldwide. Of course, it doesn’t necessarily mean that any frontend developer can start using Node without learning some new tricks, but the steep learning curve won’t be a thing to worry about. Additionally, the high popularity of Node can also be considered a huge helper. advantage Node.js Second, Node has tons of extensions. npm, also known as Node Package Manager, provides access to CLI and online repositories hosting numerous JS packages. The use of these packages helps to free the development team from the necessity to implement various app functions from scratch, which positively impacts the overall project time. In addition, more ease of development can be achieved thanks to sharing code and tests between client-side and server-side parts of the app. These Node advantages result in a shorter time to market, which can be an excellent opportunity for startups that want to demonstrate their app functionality to the first users as quickly as possible. Node shows better performance in many scenarios if we compare it with other languages, such as Java, for example. When Netflix faced a massive influx of new users, the need for replacing Java on the server-side arose. Among the other advantages that Node provided, this JS framework allowed the development team to reduce the app’s startup time by 70%. Additionally, the ease of scalability can become rather handy for companies that want to overcome growth problems with little to no effort. Unfortunately, Node has some that one should consider before choosing it as a part of the tech stack. For example, dealing with tasks that require a lot of processing power is not its strongest side. Furthermore, asynchronous processing, one of Node’s distinctive features, can become its colossal disadvantage when processing some large tasks. Also, due to the asynchronous nature, Node apps can highly depend on callback functions. In some scenarios (but not necessary), this feature can cause maintenance problems. weak sides Now, let’s consider some situations where . First, asynchronous calculations that we’ve mentioned earlier can become a considerable helper when your app has to process multiple simultaneous user requests. For example, an online marketplace app that must handle dozens of banking transactions and search queries. Node will process them simultaneously, while PHP will have to line up all requests in a queue and deal with them one after another. Furthermore, unlike PHP, Node won’t block new requests even if the old ones aren’t processed yet, which also invests in the overall performance. Node can outplay PHP Choosing the right is a task that can predetermine the success of your web application. Due to that reason, database architecture design occupies an essential role in the product life cycle. There’s plenty to choose from. Software development companies deliver and maintain dozens of systems supporting relational, conventional, and NoSQL databases. To make sure your future app can better meet the needs of end-users, it’s better to ensure that it’ll hook up with a specific database management system. Node supports a wide range of database management systems, including NoSQL ones. PHP, in its turn, has some issues when it comes to NoSQL projects which can become a problem in specific scenarios. database management system PHP. Beloved Classics That Still Work. But Keep an Eye on Your Data If you decide to stick with this language, you’ll work with one of the oldest and most popular programming languages. It was initially released in June 1995 and has been developed up to the present day. Its popularity is one of the main since there’s no shortage of developers with rich experience in using PHP. Also, if you have a corporate website that works on PHP, its maintenance won’t become a problem in the coming years. Finally, the ease of integration with old databases will be a plus if you still work with a legacy system and don’t plan to modernize it despite all the drawbacks. advantages PHP creators deliver code that can make the development process more flexible and give programmers freedom in deciding how the final application will look. In addition, it enables compatibility with all major platforms, servers, and database management systems, so the development team can have enough flexibility to build a system less prone to vulnerabilities. Among the main of PHP, we can mention its flexibility from the coding point of view, which isn’t always a good thing. It doesn’t force different development teams to follow the same style of writing the code. In the long run, it can result in difficulties with maintenance if your website will require much rework to be performed by a developer who sees the code for the first time. disadvantages Some security issues may arise if you decide to choose PHP instead of Node. Being an old technology, it has many outdated code parts, which leads to several possible security vulnerabilities such as cross-site request forgery, cross-site scripting, local file inclusion, etc. The bad news is hackers know them well. The good news is they’re well-known by web developers as well. If you choose to cooperate with a company providing PHP web development services, make sure they have solid experience to prevent possible security issues. Also, make sure you have enough time in your possession if you decide to choose PHP development. Poor error handling and lack of efficient debugging tools can lead to a prolonged testing stage. However, despite the described disadvantages, in some cases. For example, it can simplify the development process since it allows you to implement more functionality with fewer code lines compared to Node. In addition to winning in development time, remember that, in theory, the less code your application uses, the less chance that bugs will appear. PHP can be a better choice than Node The community behind a specific technology also plays an important role. The more people use a particular language, the more demand for fixing bugs and adding new features. Also, more programmers will contribute to various libraries and frameworks, which will help to cut costs and time on development. JavaScript beats PHP in popularity when we talk about programming languages in general. In the case of server-side programming languages for websites, : PHP has remained undefeated for more than a decade When to Use One or Another The question is, which of described technologies to choose for your next web application development project. Both Node and PHP have strong and weak sides, so answering the question might not be simple. In any case, remember that the specifics of your project must remain the only criteria upon which you should decide what technologies to include in your tech stack. , for example, will be an excellent choice for an application whose primary purpose is to process a large number of concurrent requests. A dynamic can be a good example. At the same time, remember that it’s only suitable for small and medium tasks and building an app requiring complex calculations with Node is not the brightest idea. If you seek maximum data security and decreasing the very possibility of vulnerabilities is one of your main aims, you should also prefer Node. The development team can effortlessly build a full-stack environment with Node and make testing less labor-intensive and costly. Last but not least, Node is an excellent example of a JS framework to develop applications for IoT and wearable devices. Node single page application (SPA) , in its turn, can outplay Node when it comes to some heavy calculations. With the release of PHP 7, development companies can rely on this technology if there’s the need to do some big data analysis. Do you work with a legacy system or old databases and want to save some money and postpone complete software modernization? You better look at PHP since it can handle old databases with ease. If you run a content-centric business and want to benefit from all the advantages that WordPress provides, consider it as a major development tool since WordPress is written with this programming language. PHP Conclusions Like in many other situations related to web development, we can’t unequivocally say which of today’s technologies can prevail over the other. Web dev scene veterans like PHP still have enough powers to outplay newcomers in some scenarios. On the other hand, Node is not far behind in this race for programmers’ adoration, and its outstanding speed and performance has a significant influence on the web development landscape. Choosing between the available back-end development options is sometimes tricky, and the availability of multiple strong competitors (e.g., ASP.NET, Python, etc.) doesn’t make it any easier. If you can’t make a decision, there’s always a possibility to consult with industry specialists. if you’re looking for an experienced development team who can take the best of both Node and PHP to create outstanding web apps. Contact us

Comparing Node.js and PHP in 2022: Between Modernity and Tradition

Chatbots are integrated with the superhuman intelligence of Artificial Intelligence. It understands, responds, and interacts much like a human brain. They are programmable to interact with users and carry out specific conversations. Two basics types of machine learning chatbots process are there based on their functionalities  as categorized below: Algorithms that improve themselves over time as the chatbots continue to work Natural Langauge Processing (NLP) improves the functionality and processes the data much like a human brain. When it comes to the application of Chatbots, it has shown great potential in almost every industry. At present, around have adopted the technology. Not only this, according to Statista's report, the global Chatbot market is predicted to cross . 80% of businesses 454.8 million U.S. dollars in revenue by 2027 Goal-Oriented Chatbots For Learning Goal-oriented chatbots commonly termed as (GO) chatbots solve specific problems for the users like booking a ticket and finding a reservation. Furthermore, two methods are there to train the goal-oriented chatbots for learning that include, Supervised learning using an encoder-decoder to directly map the dialogues and responses for the users. The method is referred to as the sequence-to-sequence method.  The second one is Reinforcement learning chatbots which use and algorithms to interact with users through trial-and-error conversations. Here these chatbots either interact with the real user or with a rule-based user simulator. AI integration Here is the dialogue flow for a GO system, which is based on the following functionality: Users give commands to the NLU component The DST processes the end-users dialogue act It saves the history of conversation to be used by the agent's policy The state processed by the DST goes to the neural network A database (DB) add information to the agent action (for instance movie ticket info) The system uses the NLG component to process commands into  natural language for the end-user Sequence-to-Sequence VS Reinforcement Learning Both two methods show great potential while having respective drawbacks. However, comparatively Reinforcement learning chatbots leads to self-learning chatbots, which is more natural. They adapt and learn from human feedback and tend to develop a unique control system. This method helps in creating such a machine learning chatbot that can handle and participate in long conversations while going for the preceding turns. The best thing about RL is that it enables the chatbots to learn and respond not only just chat with the users. For instance, developers train the dialogue system using RL in a way that the chatbot interacts and observe the end-user to responds promptly. It receives a reward either negative or positive. However, during the process, the chatbot gets efficient and becomes more trained. Top Platforms To Develop Chatbots for Learning The use and development of chatbots are getting popular nowadays. The main element is the integration of artificial neural networks to develop chatbots that can function more humanly. If you go with the chatbot using TensorFlow it will be much easier for you to interpret the advancements needed to create an efficient bot. The Tensorflow chatbot system assists developers to create complicated models proficiently. Apart from this, here is a curated list of top-performing platforms that enables the tools and resources to developers to create chatbots for learning. Dialogflow Powered by Google Cloud, Dialogflow offers a simplified process to design and create NLP chatbots. These chatbots accept text and voice data and thus are easy to integrate into social media platforms. Developers use the Dialogflow console by understanding the key terminologies like Entities, Intents, and Agents. Amazon Lex Next on the list is Amazon Lex which lets developers build such chatbots for learning that recognize and respond to both text and voice. Integrated with automatic speech recognition (ASR), the tool converts speech to text and operates on natural language understanding (NLU) that enables the ability to recognize text intent. Azure Bot Service Azure Bot Service uses Bot Framework Composer and is an integrated environment to develop efficient bots. It's an open-source platform that enables visual editing canvas to build conversational processes. Integrated with natural language understanding services including QnA Maker, and LUIS it enables developers to create bots that respond using adaptive language generation. Uses and Applications of Reinforcement Learning Chatbots The famously adopted self-learning chatbot python has various industrial applications and uncountable uses. According to the statistics, AI chatbot pythons are adopted by over 80% of businesses around the globe. Its wide range of benefits and usage are shown below: If you want to check out the application of chatbots in various industries here is the list below: Ecommerce Industry According to Invesp, online retail has shown an increasing 34% of adoption rate due to the efficiency and convenience it provides to the consumers.  Moreover, considering the high demand for many brands have started building their own programmed chatbots to keep the consumers engaged. AI and big data in retail Healthcare Healthcare comes next on the list. Since the outbreak of COVID-19, many advancements took place in the industry, and most of its operations, interactions and procedures shifted virtually. During this time, chatbots have helped a lot in keeping the patients updated and interacting with them catering to their needs. Doctors and healthcare professionals also found the technology benefitting for them to manage their patients and appointments. Service-Based Industries Service-based industries boomed during the span of the last three years and offering efficient customer support has been their prime motive. To keep the clients well-informed, chatbots were adopted. These bots provided a lot more than just being a unique business name ideas generator. They responded to queries much like a human and keep the customers engaged. Conclusion Reinforcement Learning chatbots are here to bring enhanced modernization and greater advancements. The sooner you adopt it the better your business can grow irrespective of which industry you belong to. You need to stay connected to the industry and get your hands on cutting-edge tools and platforms to build a robust bot for your business for it to grow and create a stable footing within the industry.

Develop Chatbots for Learning Reinforcement

Introduction A graph data structure defined is a non-linear data structure that has nodes and edges. A node in a graph has a value and all these nodes are interconnected with each other using vertices. Every graph has a finite set of nodes and vertices. Graphs are used to solve real-life problems. Some of the real-world examples where a graph is implemented are telephone lines or a circuit network. The concept of a mutual friend on a social media platform like LinkedIn, Facebook, Instagram, etc. internally implements a graph. We implement graphs in such a way that each node is a person in the network and it has attributes like id, name, age, etc. Just like graph theory in mathematics, every graph is an abstract type that is directed or undirected. Depending on the basis of nodes and vertices, there are many types of graph data structures mentioned below - Null Graph A null graph contains zero order. In this type of graph, there exist nodes but no edges or vertices. It means, there is no interconnection between the nodes. All the nodes are isolated in a null graph. If you want to import an item from a foreign to India, it is an example of the null graph as these are two different countries. Trivial Graph A graph that has only one vertex is known as a trivial graph. Such have only one vertex and no edges. graphs Non-directed Graph A graph is called non-directed if all the edges connected between the nodes have no connection flow between them. The edges are non-directed but connected. For example, A, B, C, and D are nodes of a graph and they are connected in a circle but the flow of edges is not defined. It can be ABCD or BCDA or DCBA, etc. Directed Graph A graph is called directed when a flow of direction is defined between two nodes. These are also known as digraphs. In directed graphs, there is a predefined start point and an endpoint. For example, A graph contains 4 nodes A, B, C, D. The directions are given are as follows - A → B, B → C, C → D, A → C If I want to go from A to D the path can be - A → B → C → D or A → C → D Connected Graph A graph comes under the category of the connected graph when there is an interconnection between two graphs. In short, there must be a vertex via which we can traverse from one graph to another and so on. For example, there are two graphs ABCD and EFGH. There is a vertex that connects Node D and Node E. Disconnected Graph A disconnected graph is just the opposite of a connected graph. A graph is said to be disconnected if there is no at least one edge that connects both the graphs. Both the graphs are separated and no interconnection exists between them. From taking the example of a connected graph, if we remove the vertex that is connecting D and E. It then becomes a disconnected graph having two graph structures (ABCD and EFGH). Regular Graph A graph falls under the category of the regular graph if it follows at least one in the below two conditions - a) The degree should be the same of all the vertices. If all the nodes of the graph have the same degree then it's called a regular graph. b) Every vertex of the graph must be adjacent. A graph is also called a ‘k-regular graph’ where k is the number of degrees all the nodes of the graph hold. For example, a graph having degree 6 is called a 6-regular graph. Complete Graph In a complete graph, each vertex in the graph is adjacent to all its vertices. It means there exists an edge connecting pair of vertices in a graph. A complete graph having n vertices has nC2 edges and this complete graph is represented as kn. For example, if a graph has 3 vertices and each vertex has at least one edge with the rest of the vertices then it is a k3 graph. Cyclic Graph If a graph consists of at least one cycle it is called a cyclic graph. A cycle here represents the loops by which we can be redirected to the starting node while traversing through other nodes. Acyclic Graph A graph is called acyclic if there is no cycle present in it. For example, if we start from a node and do not return back to it while traversing in the graph, it is acyclic in nature. Finite Graph A graph is called a finite graph if a definite number of nodes and vertices  exist in the graph. By finite, it means that the nodes and vertices present in the graph are countable. a graph ABCD has four nodes and four edges connected in a cyclic manner is a finite graph. For example, Infinite Graph An infinite graph is defined as a graph in which the number of nodes and edges are uncountable. Bipartite Graph For a graph to fall under the category of a bipartite graph, the following conditions must be satisfied - a) All the vertices of the graph should be divided into two distinct sets of vertices X and Y. b) All the vertices present in the set X should only be connected to the vertices present in the set Y with some edges. That means the vertices present in a set should not be connected to the vertex that is present in the same set. c) Both the sets that are created should be distinct, which means both should not have the same vertices in them. Planar Graph A graph is called planar if it can be embedded in the plane. It means that the graph is drawn in such a way that their edges intersect only at their endpoints. In this type of graph, no edges cross each other. It is used in rotation systems and combinatorial maps. Simple Graph If a graph contains no self-loops and parallel edges, it is termed a simple graph. For example, A graph having nodes ABC and edges as A → B, B → C and C → A, is a simple graph. Multi Graph A multi-graph is somewhat similar to a simple graph. The difference here is that a multi-graph can have parallel edges and no self-loops. If there exists more than an edge for a node, it comes under the category of a multigraph. Pseudo Graph A graph is called a pseudo graph if it contains self-loops but no parallel edges. A self-loop here is whose starting and endpoint is the node only. For example, A graph has nodes ABC and edges as A → B, B → C and C → A, and a self node from A → A is a pseudo graph. Euler Graph A graph is termed a Euler if all the vertices in the graph have a degree. In other words, there is an edge associated with every node in the graph. To be an Euler graph, all the vertices should have an even number of degrees of the node. To know in-depth about graphs read this . article by Scaler Topics Conclusion Graphs in Data structure have a variety and so is the application. There are several sorts of graphs each having different properties. It is used in computer networks, computational devices, sociology, geometry, conservation, and other fields. The most common uses of graphs are as follows: To demonstrate the flow of computation graphs are used. In google maps, graphs are used to locate the shortest distance by using Prim's and Kruskal's algorithms. Facebook mutual friend connection is an example of an undirected graph. Maps can be represented by graphs to show the roadways between various locations.

Different Types of Graphs in Data Structure

Five ways to improve your team meetings through the use of AI meeting assistants Let's say there was a person who experienced every online meeting cliche. Well… that’s me. Multi-hour calls to discuss complicated subjects – all on dial-in, no visuals Getting distracted by poor Internet connection, cats, food deliveries, or funny memes, right in the middle of the meeting Having zero recollection of something your boss mentioned in a two-hour meeting, and having no way to retrieve the information when they ask for it Even before the pandemic, I wondered if AI assistants could fundamentally change how we do meetings. When the world entered the era of remote work, it was a much needed switch. But I was skeptical. It can’t be easy to replace a human, right? that The median estimate among leading computer scientists reported a 50% chance that high-level machine intelligence systems technology would arrive within 45 years. This is a fairly long-term forecast, but where are we now? The fact is, is already — it's just unevenly distributed. Boom, "under the hood" everywhere AI/ML – determining post range into our social networks, automatic selection of photos in our iPhone galleries or Google Photo app, improved graphics in games, separate ML chips for calculations in processors, intelligent ads trackers, etc. the future here These tools are not science fiction. It sounds a bit "Rick and Morty" like, but AI assistants are already here too and they’re working for many companies and individuals, helping them get the most out of their meetings. The peak of voice assistant popularity happened even before the transition to hybrid/remote work. Remember when Siri hopelessly a difficult question from a reporter at a briefing at the White House? Personal assistants have come since then. The first step to using them is pretty simple. tried to answer a long way 1. Send your AI assistant in your place 🚀 A colleague of mine once took a trip and missed a week of marathon meetings. It took him another week to go through all the messages and emails he’d received. Then, we had to have more meetings to tell him what he missed, after which we could move ahead, three weeks behind schedule. finally We a way to avoid these delays, while also giving our teammates time to relax, and that’s why we started using AI assistants. They record all the meetings we miss and create a summary of everything that happened. needed Now, my colleague just needs one quick call to sync up with the team, and the workflow continues, uninterrupted. This is an entirely different experience for him — it saves time, energy, and a blistering headache from too many Zoom calls. But sometimes, a mere transcription is not enough. AI assistants can also analyze my meetings for me, and actually the time I spend attending them. reduce 2. Have your AI assistant summarize the conversation 🚀 The very first time an AI assistant was on the call, I didn’t notice much difference until the meeting, when I received a follow-up email with a link to our meeting details. after That was a personal 'wow-moment'. I could see a summary of everything we discussed, a transcription of the whole conversation, with all the important points highlighted. If a particular topic or outcome interested me, I could simply dive in and read what was said or re-listen to that part of the conversation. As someone who has attended an uncountable number of meetings, it was like looking at a cheat sheet. Your time is and an AI assistant that can efficiently analyze your meetings can it. I use because of its smart topic summary "Glance View". Other platforms also offer meeting transcription, but the Sembly layout is suited to my preferences and takes me to the interesting bits more quickly. valuable save Sembly Professional I was impressed with my first few uses of an AI assistant and I used Sembly consistently with my team. That is how I discovered another one of its ultimate powers. 3. Get the AI assistant to call out important actions, issues, and risks 🚀 Regardless of the communication platform, the purpose of a team meeting is not just to share information, but also to make decisions. The Actions automatic detection (on Sembly) allows me to easily delegate tasks after my meetings. The forms in which these entities can be stored differ markedly from platform to platform. For example, if you use Zoom, then thanks to you can add an assistant or tool as an add-on, directly to your call. For Microsoft Teams, this could be as a bridge between Teams and Office 365. Zoom Apps MIPA As always, the tool that is most convenient is the one that does everything automatically for you. And that brings us to another perk of using AI assistants — note taking. 4. Have your AI assistant take notes, using simple voice commands 🚀 Sometimes, the topic of a meeting is so gnarly, that not even a summary or reading the transcript will do it justice. Supplementing it with screenshots is time consuming and annoying. AI Assistants free you from being distracted personally during a call, by doing your note taking for you. And triggering it is easy — you simply have to speak. Just say the desired command or instruction out loud to the assistant in your meeting and watch it obey you at lighting speed. If your colleague demonstrated something during a video call, then you can share the right moment using products like to share a video segment of the desired meeting. tl;dv for Google Meet But, what if, like me, you have to navigate uncountable meetings and your browser is overloaded with tabs? 5. Search across all the meetings that your AI assistant has attended 🚀 This one is my personal favorite. AI assistants allow you to text-search for past meetings from almost ANY platform, all in one place! You can simply search for any term used in the meeting you’re looking for, and recover the EXACT data you want to find, with just a few clicks. I cannot recall the last time I asked my boss, “Do you remember the idea I had in that meeting one month ago?” I cannot remember hurricane catch-ups on Slack and attending meetings when I’m too ill to follow. By using AI assistants to lighten my load, I feel more incharge of my work and my time. In fact, we saw a reduction in meeting duration and increased engagement from attendees across my entire team. And everyone is happy to have some freedom and send their assistants in their stead. Try inviting an AI assistant the next time you’re double booked, or just really, don't want to attend a meeting. They might surprise you. really

5 Ways AI Can Improve Your Next Meeting

“AS400” and “green screen” have become synonyms now, and you will get various articles and blogs out there describing the platform – but none of them paint a simple and easy to remember picture for the audience. All the information about AS400 is very disorganized and hence difficult to consume or comprehend for a non-technical business reader. What AS400 is? IBM AS400 or IBM iSeries or IBMi is an application server used by large organizations because of its proven scalability, security, robustness, and low cost of ownership (TCO – Total cost of ownership) compared to IBM mainframe (IBM z) Every company that used AS400 wants to reap the benefits of its large volume data storage capacity and valuable information stored in it. Also, the introduction of new technologies forces companies to modernize AS400 systems and harness more excellent value. However, due to some limitations, companies face more significant challenges to update the AS400 systems. History of IBM AS/400 Three decades is a very long time for technology to stay in this competitive world. The year 1988 was significant in terms of technology when IBM launched AS400 and they have not looked back. AS400 or Application System 400 is very popular among companies that require robustness and scalability on their part. The operating system of AS400 is known by various names like iSeries, OS/400, etc. Like everyone else, we like the original name because it shows what is unique in the system. And, that specialty is –The OS is application-centric and not processor centric. In 1979, there was a minicomputer launched by IBM, and they named it System/38. This was for business and departmental use and launched as a complete product line. Different architectures of System/38 were System/3, System/32, System/34, and System/36. After the launch of this, IBM realized that for thousands of programs written in legacy code, compatibility is the key for uncountable programs developed on legacy code. They released AS400 in 1988. The AS/400 is equipped with a legacy OS: Operating system 400, that enabled the programs written for the older system (System/34 and 36) to move to AS400. In the year 2000, the AS400 was named the IBM iSeries. And again, in the year 2006, it was renamed as IBM system i. Furthermore, two years later (2008), the System i and p product lines were combined, and now the new product line is known as IBM power systems. Moreover, the operating system was renamed from OS400 to i5/OS and finally to IBM i. Unique About IBM AS400 This is the most common question we hear frequently. People simply want to know- What is the big deal in implementing AS400? The IBM AS400 has come a long way Undoubtedly, it will be difficult for anyone to keep calling an application with a single name when multiple names have been changed over the years. The changed names are enough to create confusion. But the reality is IBM as/400 iSeries is very different from its predecessors like the RPG AS400 system. The IBM i runs on the latest IBM Power9 System, and this is one of the most demanding and data-intensive systems on the planet. In IBM “i,” the “i” stands for INTEGRATION. And this feature makes it the most potent, forward-thinking, and efficient platform for organizations. So, without worrying about the future of IBM iSeries AS400, everyone must continue to build up awareness around the capabilities of this platform among communities and the C-level management. “IBM i” is the name of an exceptionally advanced, upgraded, adaptable, and highly secure framework running on IBM iSeries. The framework was introduced in the 1980s and still serving unique business purposes efficiently. How is it different from other OS? Key Features of IBM AS400: AS400 offers the most productive, easiest, and cost-effective way for creating (client and server) applications. AS400 enhancements include TCP/IP support for Code400, debug support for Java, Visual age for RPG, and enhancement to builder and runtime. AS400 contains user-specified line commands and help for the year 2000 keywords. ILE RPG for AS400 includes improved use process and support for indicator data sections and unpredictable-length fields. ILE COBOL for AS400 enhances assistance for date, time, and timestamp to help you modify COBOL. ILE C for AS400 is improved with native loop enablement of ILE C runtime and case optimization support. Is IBM AS400 Dead? This is the most common topic discussed throughout the AS400 iSeries user community, and the motive behind such discussion is that current organizations, jobseekers, and developers want to know if the platform is still relevant today as it is an old platform introduced in 1988.If you fall into one of the above categories, the answer may surprise you. Since the beginning, compatibility is one of the most robust features of this platform. You can efficiently run a program on that was created for IBM AS400 in the year 1988, that too with minimum or no changes. IBM Power Systems Due to this seamless compatibility, most of the companies that purchased AS400 years ago still refer to it as AS400 despite their Power server being of higher magnitude and features with cutting-edge technology. IBM has big plans and continues to provide regular updates for the platform. IBM releases a new version of the software and hardware every two to three years, and those versions feature quantum leaps forward in terms of processing and functionality. There are more than 10K companies worldwide that are using IBM AS400 to manage their most mission-critical business tasks. These companies include government agencies, banks, hospitals, manufacturing firms, and distribution centers. Companies That Use IBM AS400 AS400 servers are still fairly used. – “ “. As per iDatalabs About 10.1% of companies use the IBM hardware and have their servers, which makes it the second most popular server type after HP servers with 24.7% users However, this data may seem a little deceptive, as they measure hardware, not the OS. Also, cloud hosting services are measured in a separate category. When iDatalabs looked at the two OS linked with the IBM hardware, they found that only 1.0% of organizations are using IBMi operating system. IBM hardware also supports other popular operating systems, but iDatalabs does not display the actual data of what percentage of the companies are using the IBM architecture. German multi-national manufacturing giant Robert Bosch is the biggest users of IBM AS/400. In 2016, the company generated a revenue of about $88 billion by manufacturing industrial & consumer goods, and other technology products. On the other hand, Bosch runs its own internal IT operations, and they opted for IBM AS400 due to its performance, reliability, and scalability. The Future of The IBM AS400 is in the Cloud-AWS and Azure In 2021, IBM is celebrating 33 years of AS400 launching, and till now, they have not taken a back seat. The platform is regularly getting upgrades in software and hardware, and IBM is trying hard to boost processing power and add more functionality. An increasing number of companies are benefiting from the hybrid cloud solution that combines system hardware and cloud-based software. IBM is expected to follow suit and tailor system updates on the way to integrate with cloud technologies. Popular cloud services like are also looking to boost capabilities with IBM AS400 to take advantage, as many companies are still using the platform. Amazon, Google, and Microsoft What Can IBM AS400 Offer You? IBM AS400 software program can provide security, privileged get entry to control (PAM), Multi-aspect Authentication (MFA), Password Self-service (PSS), SIEM and SYSLOG forwarding, DB2 database encryption, price tag gadget integration, large information analytics integration, and database replication and conversion equipment for MySQL, DB2, MS square Informix, Oracle, PostgreSQL, Teradata, and Sybase. Security and Data Protection Solutions: Securing the data exit points, DB2 database record is essential on AS400. The AS/400 has multiple access ways that need to be audited and secured to get security from numerous internal and external vulnerabilities, threats, and regulatory compliance necessities. AS400 for Security Access Controls: Any AS400 DB2 database record with sensitive statistics needs to be encrypted or have a similar protection mechanism to mask or hide the unique records. AS400 encryption uses the AES256 algorithm and it’s the most secure and most standard security measure for protective sensitive data. Encryption, Scrambling, and Tokenization: The AS400 has many unique occasion log sources that comprise security, operational, overall performance, and application info required to discover and isolate significant incidents, which might also need to be incorporated into your company SIEM Ticketing system. Auditing, SIEM, and Ticket System Integration Software: The database replications tools can convert data to and from any database format on various OS and keep the disparate databases synchronized in real-time and without locking source documents. The database replication software program updates the remote database like any other insert, replace, and delete operation. Database Replication, Conversion, and Migration: Previously published at https://www.integrativesystems.com/as400-ibmi-iseries/

About IBM AS 400/iSeries: History, Features, and Characteristics

Industry analyst Doug Laney postulated the current definition of Big Data comprising the three V’s: volume, velocities, and variety. It’s used to describe a large amount of structured and unstructured data, which overwhelms us on a day-to-day basis. Businesses are interested in Big Data because it can be analyzed to gain valuable insights for better strategies and decision-making. If you learn Java or any other language that suits data science and some special tools and libraries, you’ll become well equipped with the necessary skills for the job market. Why Get into Big Data? A report by Deloitte Access Economics suggests that almost will be making a huge contribution to their data science spending in the coming years. Data science is helping companies to increase and enlarge the customer base in record time. 76 percent of businesses For example, in 2003, it took iTunes 100 months to gain 100 million subscribers. The mobile game Pokémon GO achieved the same feat in a matter of mere days back in 2016. This is because Data Science and Big Data study trends in the customer base and offer a solution with almost guaranteed profits. Data science was marked as the highest paying job in 2016 by a survey conducted by Glassdoor. It is said that every year the need for data scientists increases by . The demand for these positions continues to grow in importance. According to the domestic job market, there will be 5,200 new computer and information research scientist positions between 2018 and 2028. That’s a . 29 percent market growth of 16% This unprecedented level of growth can be owed to the rise in popularity of Artificial Intelligence and Machine Learning. It was around the year 2005; this surge started taking place. Once it hit the market, data science changed everything about the business. By bringing in key elements of specifications, data scientists observed trends of the customers and thus expanded businesses. The increasingly technical nature of the corporate world has completely changed the job market of the 21st century. Data science and Big Data have emerged to be the key players in the market. They offer brilliant job prospects and opportunities for climbing up the corporate ladder. Professions in Big Data Big Data offers two major career paths: big data engineer and big data analytics. Big Data Engineer These are mainly data engineers who work with a large volume of data. They: Transform data into insights that companies can use for better business decisions. Retrieve data from relevant sources, interpret and analyze it, and then form reports. Maintain software and hardware infrastructure of the company, i.e., the machines used in the processing of data. The salary of a high-paying Big Data engineer ranges from $130,000 to $220,000 per annum. Big Data Analytics (Scientist) Data scientists or analysts are concerned with the design of data. They: Construct and develop new and innovative processes of modeling, production, and the mining of data. Develop prototypes and algorithms, Conducting experiments based on data studies. A trained and skilled scientist earns anywhere between $105,000 to $185,000 per annum approximately. Top 4 Programming Languages in Big Data The top four programming languages in data science and machine learning are Java, Python, R, and Scala. So here is an overview of each. Java Java is one of the most popular programming languages. The motto of this language is that it enables data scientists to “write once, run anywhere,” meaning that a well-designed Java code can actually run on any platform without any changes in it. Some facts about Java: Java lands an individual some of the higher-paying jobs. Most companies have high regard for someone who is trained in Java, and they are usually in high demand. It pays well to be a Java developer. Aside from being a very useful and multi-purpose language for businesses, Java has one of the biggest communities that won’t shy away from helping beginners. Java is one of the most popular languages. Some major examples include Google Apps Script, IBM Domino, JSSP, and MongoDB. This further reinstates the popularity of the programming language. A lot of the server-side applications were written in Java, especially enterprise-level apps. Java and Big Data Java is used by many enterprises and comes as one of the most efficient languages to learn Big Data. Large companies use huge datasets, which almost makes Java the basic language for Big Data. Also, the fact is that the part of the Hadoop ecosystem, components that support the processing of Big Data, is also written in Java: Apache Hadoop helps in the processing of large data sets. It is a framework that is used to culminate external data into a single unit and then further categorize it. Hadoop is well equipped in failover support and scalability. It also has a comparatively low intensity on hardware. Hadoop is widely regarded for its skill with local data processing. Apache Hadoop. If we are talking fast-paced, then Apache Spark is the one that comes into mind. It is super effective and lightning-fast analytics machinery that works in a unified manner and is invaluable for Big Data. Apache Spark. Apache Hive is a framework for reading, writing, and managing big data files. These files, however, have to be stored under Apache Hadoop Distributed File System. Apache Hive. Apache Storm is another framework that processes Big Data files at high speed. This is even faster and more effective than Apache Hadoop. Apache Storm. Where to learn Java? — it has a substantial lesson plan for beginner students but can also be used if you’re switching from another language. Lessons are easy to follow and are enriched with practice applying the gaming format. Keeping  80% of the practice, the platform offers 1200 coding tasks and code validation. In this course, you’ll learn Core Java that covers such topics as Syntax, Object Oriented programming and its realization in Java, Java Collections Framework, and Multithreading. CodeGym — it offers a detailed and fun process of learning and is complete with an official certification. It is a 17-hour course to gain a general understanding of what the Java language is. There is the extra perk of obtaining expertise in Java 8 and Java 11. The Complete Java Certification Course by Udemy Python Python is a diverse coding language and also one of the most important tools for data science and holds great value to developers. It is one of the most popular tools used in dealing with Big Data files. It is a high-level language well equipped to deal with tasks like Machine Learning, Deep Learning, Artificial Intelligence, and many more. It’s very simple to learn and easy to operate. Python is very effective for small programs, but not so much for large ones. Python is also famous for the high number of libraries in the likes of TensorFlow, PyTorch, SKlearn, Matplotlib, Scipy, Pandas, etc. Python is the API for most Big Data frameworks. Where to learn Python? offers a valuable course in Python 3. Codecademy by Udemy is very popular among students of machine learning. Python for beginners Scala Scala is modern and cutting-edge. It is a functional and object-oriented multi-paradigm language that has a scalable approach with a robust and steady type system. Scala runs on Java Virtual Machine and thus shows seamless interoperability with Java. However, due to the smaller community (as opposed to Java or Python) and complexity of the language, it’s not very suitable for beginners. Taking both facts into account, if you want to learn Scala, it’s good to start with Java first. APIs that Scala Big Data projects use It is a framework that specializes in stateful computations over data streams both bounded and unbounded in nature. It is functional in all common cluster environments and also performs computations at a highly effective rate. Apache Fink. The nature of this event is that it is distributed over a community. It is a streaming platform equipped with handling an uncountable number of events per day. Apache Kafka. Apache Samza uses Apache Kafka for messaging, and its framework is that of a distributed stream processing. To provide fault tolerance and processor isolation, it uses Apache Hadoop YARN. Apache Samza. It is a type of open-sourced library. It uses Java or Scala to develop concurrent applications. Akka works by leveraging the Actor model. Akka. Where to learn: Books and library docs on Scala Exercises Practical tasks on Scala Tutorials R The R language was created for scientists and researchers. The nature of the R language is very scientific, and it was mainly perceived as an instrument for statistical and graphical computational methods. It has many useful statistical and computational methods. Some facts about R: The statistical methods include linear and non-linear modeling, classical statistical tests, time-series analysis, classification, clustering, etc. R provides an impressive variety of both statistical and graphical techniques. The R language comes as a complement to the S language, which provides itself as a vehicle of choice for research in statistical methodology. The R is a stepping stone as it provides an open-source route for that. It is highly extensible. R could be used effectively for the Data Analytics part of Big Data; however, learn it if you are really interested in statistics and statistical analysis. It’s not very suitable for beginners. Where to Learn R? course by Codecademy Learn R by Coursera R Programming Conclusion In order to gain expertise in the field of data analysis, master a programming language. Data scientists may often find themselves entangled within a wide variety of programming languages to choose from, but the main ones to choose from are Java, Python, R, and Scala. If you are a beginner programmer and are interested in Big Data, Java, or Python — your choice. Java is great for projects of varying complexity; it has a very rich pool of tools and is widely used not only in scientific programming. We wish you good luck with your studies! Also Published Here

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