Automate.io

automateio

Ashok Gudibandla is currently working on a new venture in Vertical AI and has a track record of identifying gaps in the market, using this knowledge to launch startups and growing them while staying ahead of his competitors. In fact, that is what he achieved with his previous company, Automate.io, a startup that answered a need in the Software as a Service (SaaS) market for a cloud data integration and workflow automation product that could work across multiple cloud applications. Ashok Gudibandla Ashok Gudibandla In the five years between 2016 and 2021, Ashok scaled Automate.io up to 200 software integrations, providing data integration and workflow automation for over 4,000 businesses around the globe. The startup was so successful that in 2021, Ashok was able to sell it to San Francisco-based SaaS company Notion. San Francisco-based SaaS company Notion San Francisco-based SaaS company Notion Seizing the Moment Seizing the Moment Ashok’s successful launch of Automate.io in 2016 came on the heels of an earlier attempt that had proven less lucrative. “I founded my first company in 2008,” Ashok recalls. “It was a total failure. I struggled with it because we were not building a product that was aligned with market trends, and I didn’t have much market knowledge. The second time, I did not make that mistake.” The specific idea for Automate.io came to him while he worked as a product manager for a SaaS company, interacting with global customers and assessing their needs. He realized that many companies were having data integration challenges while adopting multiple cloud-based platforms to support various business operations. These applications are rarely integrated, and these companies were searching for third-party software to fill the gaps. The problem was that the products available provide that data integration were specialized and limited; they could only integrate and move data between two applications. “In my interactions with customers,” Ashok explains, “I saw that some of their needs exceeded what these products could do. And that there was a need for a more sophisticated workflow and data synchronization product that could work across multiple cloud applications (not just two). Such products did not exist then.” So, he created Automate.io. The Rise of Automate.io The Rise of Automate.io Automate.io provided workflow and data integration across 200 separate software services. The more than 4,000 businesses served were diverse, ranging from small businesses to large global enterprises that needed a solution like this to automate their marketing and sales processes. Ashok created a product-led growth engine where customers discovered the product primarily through Google, signed up, tried it, and made a purchase. This approach became the primary method for attracting the majority of the company's customers. In contrast, Automate.io rarely engaged with customers before they subscribed; in fact, some Fortune 500 companies used the product without even realizing they were customers until a payment was received. The second growth engine Ashok built was through partnerships. He turned technology partnerships with the 200 apps the company integrated into marketing opportunities. With every strategic partner, he led co-marketing initiatives—from engaging blogs to impactful announcements—that showcased the product's value and converted the partner's customer base, fueling exceptional growth. Ashok was the first to see the need and act on it. After the launch of Automate.io, other products started adding  muti-app workflow capabilities.. “So in a sense,” he shares, “we were the initial trendsetters in the space.” Looking Ahead Looking Ahead What Ashok Gudibandla learned from his early setbacks and demonstrated with Automate.io was his ability to work ahead of the curve, execute at scale, and set industry trends. Today, he is looking ahead yet again, exploring the opportunities for Vertical AI—artificial intelligence designed for specific industries, with capabilities tailored to particular business needs—and preparing to disrupt another industry with a new AI-powered product.

Ahead of the Curve: How Ashok Gudibandla Changed Cloud Workflow Automation

Изпреварване: Как Ашок Гудибандла промени автоматизацията на работния процес в облака

Curve এর আগে: Ashok Gudibandla কিভাবে ক্লাউড ওয়ার্কফ্লো অটোমেশন পরিবর্তন

Antes de la curva: cómo Ashok Gudibandla cambió la automatización de flujos de trabajo en la nube

Antes da curva: como Ashok Gudibandla cambiou a automatización do fluxo de traballo na nube

Curve के सामने: कैसे Ashok Gudibandla ने क्लाउड वर्कफ़्लो ऑटोमेशन को बदल दिया

Ahead of the Curve: How Ashok Gudibandla Changed Cloud Workflow Automation(アショック・グーディバンドラがクラウド・ワークフロー・オートメーションをどのように変えたか)

Ahead of the Curve: Bagaimana Ashok Gudibandla Mengubah Automasi Aliran Kerja Awan

Ahead of the Curve: Ako Ashok Gudibandla zmenil cloudovú automatizáciu pracovného toku

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在曲线前:Ashok Gudibandla如何改变云工作流自动化

Phakathi ne Curve: Indlela I-Ashok Gudibandla Ukulandela I-Cloud Workflow Automation

Let’s have some fun. Let’s see an effective movie management system in Notion. I am a movie buff. I love all kinds of movies. Be it drama, comedy, action packed thriller or an adventure. I am also a collector. I have been collecting DVDs from my early college days, when I had little money, I used to buy movies in huge deals. I even copied friends DVDs, guilty me. As time went on, I switched from DVD to digital copies as I can own them for perpetuity and don’t have to manage or carry them. I can simply turn on the TV and can see whatever I want, if I own it without any subscription. I also don’t need to own dvds, it’s all in the cloud. I am not only a collector of movies, I love to learn about directors, writers and their movie making processes. I try to find similar works like the movies I love to see. In order to achieve and manage all my movie data, I needed a way… As like anything else in my life recently, needing management, I made a notion database. Find the template if you need it: https://susamn.gumroad.com/l/notion-movie-catalog?embedable=true I generally buy movies from iTunes with good deals and are of Movies Anywhere capable. For them, who don’t know Movies Anywhere, it’s an online service, which lets you see your purchased movies from all supported platform like iTunes, google play, Youtube, amazon, Microsoft movies, xfinity, Vudu. You buy once and watch them thorough all the platforms I use these websites to see all the available deals https://fanflix.co/?embedable=true https://www.blu-ray.com/deals/?category=itunes?embedable=true I have a huge collection of around 400 movies I have purchased over the years, most of them are purchased during holiday season with huge deals and some are free. I have all these movies through Google Play, iTunes, Amazon, Microsoft, Vudu. Not all of them are Movies Anywhere compatible. So I needed a way to manage and keep track of them. Here is the notion database… These are the ways I am using this: When I buy a movie, I create a record with the title, director, genre, price, date purchased, provider, and quality. The MA (Movies Anywhere) column let’s me know if any movie I own is MA compatible or not so that I know, if I want to see it, where to watch The seen/unseen column lets me know if I have seen it or not; when I buy as a package, I get some movies that I may not have seen. I group movies based on the director and genre, and the play count tells me what type of movies I may like next. The price column and the date column help me to keep track how much I am spending every month Automation Here is a very simple automation I put on Automate.io to update movie data from Discord. I am using Discord to update the year of a movie based on its title. Here is a very simple example. I intend to make it more complex to update any attribute. I will automate this process with IMDB api with a bot. Next steps I want to automate some actions with Notion API Get ratings from IMDB and rotten tomato and add them in the movies Update the play count when I see a movie Update total movie watch time when I see a movie and understand how much time am using for entertainment. I want to add thumbnails from IMDB via automation Also Published Here

Creating an Awesome Movie Catalog in Notion

We've categorized the best Slack apps for developers. Whether you are working in teams or you just want some bot for yourself we've got you covered in this post. While some of the tools in the list are not specific to developers alone, we listed them because we think they might still be useful for some. Slack Apps for Productivity In this category we'll explore the Slack apps we found that can help tech individuals and tech teams be more productive. Axolo (that's us!) "Every minute trying to understand each other is a minute not spent shipping features". Axolo focuses on making it easy for developers to talk about a pull request. The result is that pull requests are resolved faster, it's easier to stay on top of PR and there is an increase in focus due to less context switching. What we like 👍: Axolo creates a channel for every pull request and has a deep integration with GitHub. It will share the code comments, code reviews, issues, and even the GitHub actions. As a bonus, there is a /lgtm command that lets you approve pull requests in seconds from Slack. More about Axolo: . axolo.co Pomodoro Tracker Some people have their Pomodoro on their OS but the benefits of having it in Slack is that you can let other people know in your team that you are in a focus mode and that they shouldn't expect you to answer within the next n minutes. What we like 👍: Simple and powerful. It does what it says it does :). Pomodoro on Slack Marketplace GoLinks Shortcut Go Links saves all your favorite companies' important URL and makes it easy for you to see them. GoLinks on Slack Marketplace Vidyard Asynchronous video sharing Vidyard allows you to record yourself/ your screen easily to share asynchronously. Great for "showing instead of telling" Vidyard on Slack Marketplace Slack project management apps This category is dedicated to apps that allow you to manage tasks within Slack. Those apps usually allow you to create and assign tasks directly in Slack. It's a crowded space so for brevity we'll just list the one that has been referred to us. Linear Linear defines itself as "The issue tracking tool you'll enjoy using". Linear doesn't have an application listed in the Slack marketplace but you can integrate Slack from your Linear WorkSpace: . Linear Linear has a traditional /linear command that allows you to create new issues. Link posted on Slack from linear will be displayed in an organized fashion for people to identify them easily. What we like: Linear has a way to create a specific channel for a project, sending updates from that project to a channel and making a contextual update on a specific linear project. Learn more about the Slack Linear integration on . Linear Trello "Trello helps team move work forward". Trello is the simple Kanban project management tool, they are pioneers in TODO DOING DONE. The app integration allows you to add new Trello cards with the /trello command, edit cards, attach conversations and get previews. What we like 👍: Trello is very popular and has other dedicated Slack app made by the community. So if you are a Trello user there are a lot of chances you will find what you are looking for. Trello on Slack App Marketplace Asana "Move work forward" Asana is also a popular project management app based in San Francisco. Their integration does pretty much what the others do with the ability to be personally notified when they are changes about a ticket you own. More about the integration: and about Asana: Asana on Slack App Marketplace Asana.com Jira Jira started as a bug tracking system and has evolved into an all you can do project management App. Find out more on: Jira on Slack App Marketplace Pivotal Tracker Pivotal is an agile project management tool made for developers. It’s old-school but does the job. Find out more on Pivotal Tracker Workast Workast describes itself as "The missing piece of Slack". They seem to be the best-integrated project management app to Slack we've seen so far. They were built around Slack and is fully featured to be workable on Slack. What we like 👍: Fully integrated into Slack and easy to use for everyone in your team. For example, you can sign in with your Slack account, you won't need to sign up with your email. Learn more about Workast: Workast.com Notion Notion started off as a wiki all-in-one workspace for notes and also does collaboration, tables, project management and much more. They have a clean UI/UX and has been around for a few years. The Notion integration allows you to subscribe to changes for a particular page. This is good if you want to monitor changes in your Notion workspace. What could be better 😬: This integration only updates you on changes. Would be interesting to have workflow automation and more actions you could do directly in Slack. More about Notion: notion.so Slack Apps for Managing Teams and Culture Disco Enable value-driven work and foster team appreciation directly from Slack. Disco makes it easy to encourage actions within the organization by enabling kudos, appreciation dashboards, and raffles. What we like 👍: Value-driven company with a well-integrated with actions you can do directly into Slack. More information on justdisco heyTaco "Build Stronger, happier remote teams". HeyTaco is here to help build camaraderie within the organization. What we like 👍: Who doesn't like tacos here? More on HeyTaco: heytaco Karma Karma makes it super easy to give appreciation to one another, @tag ++ someone to give him Karma and show appreciation. More on their website: karmabot Greetbot Greetbot is made for big teams who onboard new employees on a rolling basis. It will allow you to remind you and people in your team to greet and meet new people in your team. What we like 👍: Schedule follow-ups, encourage connections, and view the latest activity. The app is well thought and does the job! Greetbot on Slack marketplace Onboarding ⚡ by Roots Onboarding by Roots does a similar job to Greebot and also allows you to set up a workflow. You can automate asking tasks to specific people like creating a Gmail GSuite email to @support and more. Roots on Slack marketplace AnonymityBot Anonimity bot Ask polls, make anonymous announcements, or ask anonymous questions to your team. I feel this could be useful in some company cultures where some employees might be afraid to speak on their name. Anonymity feedback on Slack marketplace Lunch Train Do you work in a city and have you ever tried to organize lunch with more than 2 colleagues in your company? Lunchtrain is the answer, making it easy to organize your lunches by getting everyone on board. What we like 👍: Great copy, fun, and simple Slack app that works well for its purpose. Lunch Train on Slack marketplace Whatis Does your company use a lot of acronyms? Whatis is the answer. It will identify when you use one and show the members of the channel what this acronym does. It also makes it easy for you to create a dictionary of all the acronyms in your company. Whatis on Slack marketplace Code Related Integrations PR Patrol PR patrol allows you to monitor some part of your codebase you care about. You can set it up to be alerted whenever a specific file gets changed. What we like 👍: Easy to set up! Patrol on Slack marketplace Circle CI Circle CI Slack integration will post to a channel of your choice whenever a build finishes. Circleci on Slack marketplace AppFollow With , you can track critical app updates around rating, keywords and reviews from your favorite stores. Passively receive alerts, reply to user reviews or monitor all your app data without leaving Slack. AppFollow 1Password 1 Password Slack integration allows you to share private notes within Slack. Can be useful for developers to share private keys or things you don't want to be out there in the wild. 1password on Slack marketplace StatusPage Be alerted when there are changes to your Status page. notifications on Slack marketplace CodeMagic Easily follow your mobile app development with Code Magic. Configure a channel to get notified of relevant events. More on Codemagic Standup Slack App Bot Standup meetings are notorious in tech teams, they allow you to stay in sync with your team in a (usually) short and efficient way. A standup meeting is usually a time where you share what you've done the day before and what are your plans for the day. It's simple and allows you to share if you need help, and vice versa, see if there is a colleague to who you can give help. Standup.ly Automate standup meetings, retrospectives, other agile processes and get an internal Q&A system to level up the productivity of your team. What we like 👍: Standup.ly is more than just a simple standup bot it also allows to have other agile processes with 360 feedback, retrospective meeting, and more. Find out more on: Standuply DailyBot Daily bot is pretty similar to Standup.ly and seems to have analytics in your team motivation and blockers. Find out more on Dailybot Calendar Slack apps Google Calendar Connect your calendar and update your status automatically when you are in a meeting. Pretty useful to know if someone in your team is busy in a meeting and won't be able to answer you're urgent question straight away. You can also set it up to get notified of your events coming up during the day. Find out more on Google Slack Marketplace Fellow Fellow encourages people in the meeting to come prepared and to follow a course of action during the meeting. The fellow also makes it easy to manage your agenda directly in Slack. Find out more on: Fellow Random Slack appsGiphy Giphy might be the most used / underrated / overrated app in the Slack marketplace. With a simple command /giphy (text) one can send a giph in seconds. Giphy on Slack Marketplace Gif Keyboard Giphy has a competitor and Gif Key is there to help you add a caption and search Giphy in a more productive way ;). Gif Keyboard on Slack Marketplace BirthdayBot Show that you care and make sure not to forget anyone’s birthday in your company! Birthdaybot What could be improved 😅 Free trial is only for 14 days and no free version of the product. Miro Miro is a whiteboard collaboration app. Great to brainstorm or even to share ideas with post it or drawings or anything you could do on a white board. Their slack integrations allows you to Install review comments, find recently updated boards, and approve access requests. Find out more on: Miro Slack App Marketplace Automation Slack Apps Here is a list of Slack apps that can automate some of your workflows. They can be useful in numerous ways in order to automate repetitive tasks. Zapier Zapier is the most famous automation tool out there. Easy to use, with workflow, they seem to be well connected to the Slack API. The first pricing goes for 20$/month. Zapier Slack App Marketplace Automate.io Automate.io does a similar job to Zapier. You might want to use Automate since they have a cheaper alternative and might have some specific integrations. The first pricing goes for 10$/month. Integromat and HotGlue Two other automation apps. I honestly couldn’t tell you which one to go for, they all seem to be working well. It will probably depend on if you are already one of those tools. Pricing is about equivalent, and they sometimes have different integrations and different levels of integrations. Integromat Hotglue Incident Apps I’ve seen numerous incident apps coming up in the past few/months/years. They are usually targeted at bigger companies that have SRE (Site reliability engineers) in the company. They are quite useful to put a methodology in place for any tech and non-tech urgency that one company can have. They usually have a similar process: you have a command you can do from slack /incident create and you need to fill out a form. In the form you put someone in charge, mention the severity and information you can provide to show the problem. It then spins off a channel and you can discuss how to best resolve it with the right team and people who are automatically invited to that channel. Incident.io Incident.io is a well-funded company by ex-Monzo (banking) employees. They have a 250+ people community in Slack and seem to have happy customers. I’ve seen screenshots of incident recaps and it looks nice! Incident.io Allma.io Also another funded company. Check out their website. They have a great way of showing how their process works in Slack so you can see if it’s something you should be interested in. Allma.io Bug Tracker Bug tracker apps will let you know whenever there is something going wrong with your apps. There are many different services but here are the most common ones. BugSnag BugSnag has been mentioned by a lot of tech teams. It’s a world-famous service. The integration allows you to snooze, or say that you’ve resolved the bug from Slack. Find out more on BugSnag in Slack Marketplace Sentry Sentry is a similar service. What we particularly like about the Sentry slack integration is that you can assign a bug to someone directly from the Slack integration. . Sentry on Slack app marketplace Raygun “Resolve errors, crashes, and application performance problems faster with Raygun and Slack”. What we like about Raygun: The error display is wide and seems like you have enough information to handle most of your errors. . Raygun on Slack app marketplace Log tracker: Papertrail Papertrail integration enables you to receive important system and application messages right when they happen. Papertrail app offers an intuitive Web-based log viewer, alerts, charts and analytics exports, long-term archives, and other time-saving log tools. Papertrail was developed by Slack. . Papertrail on Slack app marketplace Polls Slack Apps It's easy to ask a poll as a question and get an emoji response but if you want to go further there are other apps out there that can help you be more precise. Simple Poll “What is your preferred JS framework?” “Where should we have lunch?” Create polls in seconds with Simple Poll. Easily collect your team’s preferences and know how your team is feeling with this integration. Simple on Slack app marketplace Typeform With Slack app, receive all your respondents' answers in Slack as soon as they’re sent! Collect them in specific channels and start collaborating with your colleagues without leaving your app. Screenshot Typeform on Slack app marketplace Data Visualizer: New Relic With New Relic Proactive Detection, anomalies from your APM-monitored applications will surface in their activity streams and anomalies feed. You will be able to create an automatic analysis of these anomalies and receive notifications from Slack directly. . New relic on Slack app marketplace CRM + Customers Hubspot With the Hubspot Slack integration, you are able to query any source of information from your CRM, create tasks/tickets and change specific information regarding your customers. A chat feature is available to answer to your users right from Slack as well. . Hubspot on Slack app marketplace People Management Platform Café . COVID forced everyone to work from home and it made collaboration hard. Café knows teams need to meet but it’s a real struggle. Their real-time flex agenda is designed for teams that mix Office and Remote work. Café on Slack app marketplace Donut With Donuts, discover new rituals for your team that foster camaraderie, collaboration, and community. You can organize random coffees, schedule meetings to have a water cooler chats with your colleagues, and create bonds between coworkers, no matter whether they’re in-office or working remotely. . Donut on Slack app marketplace Cloud Hosting Heroku ChatOps Heroku ChatOps enables you to deploy code, and get CI tests directly within Slack. Stay on top of your Heroku app’s status without jumping from one site to another. Command output is organized into threads for easier readability, with app details like who performed the operation, the Github repo, hash, and task duration. If you need to further investigate, the app will link you to your dashboard, where additional details and configurations will be available. . Screenshot Heroku on Slack app marketplace AWS Chatbot AWS Chatbot is an interactive agent that simplifies monitoring and interacting with your AWS resources in your Slack channels and Amazon Chime chat spaces. AWS Chatbot allows you to receive alerts, execute commands to return diagnostic information, call AWS Lambda functions, and create AWS support cases. . AWS on Slack app marketplace Awsome enables simple, easy and quick management of Amazon Web Services EC2 instances directly from Slack. You can start using Awsome features with the `/awsome` Slack command. Awsome simplifies the process of: - starting AWS EC2 instances - stopping AWS EC2 instances - checking AWS EC2 instances status. Awsome Also check out: Top 5 GitHub pull request Slack Integration and the Top 4 GitHub Action Slack integrations.

Top 50 Slack Apps For Developers in 2022

Since time immemorial, the software development market and industry demanded a lot of expertise and experience from software developers before considering or having a glimpse at their professionalism and resumes. These software developers had to have an app development education background or technical software development certifications. A new approach to applications development is not only overshadowing this requirement but also turning into a trend. Low-Code vs. No-Code Technologies Both technologies favor citizen developers. They are non-IT-trained professionals with a heart for the software development market and industry. With low-code technology, creating a software app is as simple as interacting with polished GUIs on a configurable programming environment. It involves the use of basic drag-and-drop capabilities and logical interactions on employed visual interfaces. Its users require little to no knowledge in software app creation and the associated coding languages. With no-code technology, users interact with GUI-oriented development environments to make apps. The platform also offers basic drag-and-drop capabilities. Since its software development programming processes vary interchangeably, its users don’t need any prior knowledge in software development to build useful applications. Examples of Low-Code Technology This platform is team-empowered for collaborative, fast, and productive app development. Quixy makes it easy and relatively effortless to create powerful and responsive applications. It is ideal for both small and large business enterprises. It is available on a free trial and subscription-based pricing. With the manual application-building process out of the way, Quixy boasts of turning any application idea into a transparent, productive, and innovative use case. Quixy This platform also accommodates several team development efforts in the creation of useful apps. The reputation of Visual LANSA is tied to its famed features which include: Visual LANSA Generating code on an IDE App testing, deployment, and integration Comparatively low-cost app building approach It is ideal for small-sized, medium-sized, and large-sized business enterprises and is offered on both free trials and subscription-based pricing. If you want to create apps with extended functionalities, you should consider the Creatio marketplace. Whether you are considering the structured or unstructured application building process, Creatio’s BPM engine will flexibly handle things. It encompasses app administration and security features through its dynamic app building wizard. It is ideal for small, medium, and large business enterprises and offers a 14-day free trial or subscription-based pricing. Creatio Other honorable mentions related to this technology include GeneXus, Zoho Creator, Appian, KiSSFLOW, Microsoft PowerApps, OutSystems, Salesforce Lightning, and Mendix, Examples of No-Code Technology App and Website building This platform helps users visualize and create custom and responsive applications without having any coding background. Code2 comes with remarkable app-building features like drag-and-drop interfaces and also takes care of the web app’s setup, hosting, launching, and scaling processes. Its pricing plans range from Solo, Lite, Standard, to Pro. Code2.io Other honorable mentions in this category include , , , , and . Bubble.io Webflow Carrd Thunkable Bravo Studio Onboarding and Interactive Guides Memberstack The primary objective of onboarding is to retain app users and customers. The first step towards achieving this objectifiable process is to have the targeted user log in or register within a launched app. In a traditional coding environment, a developer will manually code both the payment section and the user login and registration functionalities. Creating and testing this code can be tedious and time-consuming but not for Memberstack. It is priced at Pro, Scale, and Established subscriptions. Other honorable mentions in this category include UserGuiding. Voice Technology After the debut of voice assistants such as Siri, Alexa, and Google Assistant led to prominent voice-oriented solutions in the tech industry, voice technology gained recognition as an ideal no-code platform. Voiceflow now offers extensive customization related to voice searches. With its adaptable UI, creating a voice app has never been easier and more efficient. Its pricing plan ranges from Starter, Pro, Team, to Enterprise. Voiceflow Other honorable mentions in this category include . Otter.ai Project Management Most project management applications require their users to invest time and technical toughness to adapt to their usage. It is not the case with Airtable. In this platform, you won’t feel the coding effect associated with working on a spreadsheet environment. This system relies on useful UI blocks and labels to make any project useful and interesting. Airtable is associated with big names like Medium, Buzzfeed, and Netflix. Its pricing plan ranges from Free Tier, Plus, Pro, to Enterprise. Airtable Other honorable mentions in this category include and . Notion Coda Automation If you greatly value time and money, be prepared to save them on Zapier’s automation platform. Its apps and tools integration expertise yields a domino effect performance on specific targeted tasks. Zapier chains up performant apps like Gmail, Slack, Twitter, and Google Suite so that it can offer its users seamless app development experiences and results. Its pricing plan ranges from Free Tier, Starter, Professional, Team, to Company. Zapier Other honorable mentions in this category include and Integromant. Automate.io Analytics If you are working on a SaaS business and in need of quick informed decisions, then the data science attributes of the tool is all you need. Its approach to creating the needed analytical predictions is easy and simple to follow, create, and execute. Reputable names like Forbes and Yahoo are familiar with what can achieve. So if you have a what-if scenario that needs clarification, this is the platform to visit. Its pricing plan ranges from Basic, Pro, to Pro-Plus. Obviously.ai Obviously.ai Obviously.ai Other honorable mentions in this category include Mixpanel and Google Analytics. Market overview and Popularity of Low-Code and No-Code Technologies The inevitable change and evolution of technology platforms have created a supply gap in the technology industry in terms of The tech industry’s frustration on its quest for individuals with unmet flawless and evolving software development expertise landed on the raw ears of low-code and no-code technologies. The tech industry fancies and embraces these technologies because of the following popular reasons: insufficient technical skills and proficiency in software development. Low-code tech reduces the manual coding approach of creating useful applications. It also minimizes the dependability on hard-coding. You do not need to be an alumna of a reputable coding camp to be an expert of this technology. No Need for Traditional App Development Experience The technology also reduces the normal app development duration by miles. The time you potentially waste on developing an app’s outlook, database schema, or testing functions is recovered here. You only need to specify the objectives of what you need your app to achieve once its development is complete. Less App Development Time Equals More Performant Apps These technologies embrace the integration of GUI environments to develop performant and reputable apps. You are not bound to a non-user-friendly or technically-oriented code editor to create useful apps. The technological platforms help you visualize your apps’ performances and outlook as you connect the needed GUI components to bring it to life. Graphical User Interface Orientation These technologies offer collaborative solutions to build stable and reputable applications just like Github. The only difference here is that no coding requirement will stand in the way of your collaborative app-building process. Collaborative App Development Current No-Code Techs Offer to Traditional Software Developers The app development approach of no-code technology is also adaptable to traditional developers accustomed to the raw coding approach of designing, testing, launching, and maintaining apps. They stand to reap the following benefits: Increased app responsiveness as they do not have to deal with cumulative and tedious IT backlogs No need to worry about technology churn that most result from the deprecation of coding languages functionalities. It offers an escape route from legacy debt If you are an innovator, your transformative ideas are accelerated through these technologies As an entrepreneur, you will not have to be dependent on hard-to-hire skills to get the right individuals to run your startups For traditional and mature coders or app developers, it is a mentorship opportunity for upcoming app builders on how best to present their apps. These Technologies’ Growth Perspective Hiring non-programmers is simpler and cheaper than going after matured and primed traditional software developers. Therefore, the future of these citizen developers is safe because of these . Analysts are confident of their 2020-2021 growth predictions of these two technologies after their continued adoption. The two are linked with an associated market value increase from $11.3 B (2020) to $13.8 B (2021) within the mentioned calendar years and hopefully $30 B within the 2025 calendar year. LOB (Line of Business) workers will most likely embrace these two technologies. Also, traditional software developers will most likely prefer these technologies' algorithmic approach to mundane tasks. technologies' continued adoption by promising business enterprises Citizen Developers versus Merited Developers The potential of these two technologies form a nimbus cloud on the careers of traditional developers. However, their circumstance is not as dire as it may seem. They have the option of switching back to their old ways of building apps when an inevitable arises. As for the citizen developers favored by fast-growing business enterprises, they will still have to find solutions to unavoidable challenges related to: challenge Tracking employees’ productivity due to inadequacy in generated app data oversight and visibility Management, maintenance, and up-scaling of already created apps Waste of resources due to implementation of apps via incompatible app tools and insufficient methodologies Final Note The use these technologies has a high chance of upgrading and upscaling workflow and enterprise apps. Additionally, the technologies stand a chance of creating seamless frontends for different app platforms. On the other hand as it will be useful in data governance, implementation of extensive app functionalities, and app deployments to specific environments and architectures. , traditional developers should not completely dispose of their hard-coding skill sets

Low-Code vs No-Code: A Buzzword Battle for the Ages

, co-founder of , has been using for both personal and professional purposes. He has been advocating about process automation and how it can bring about a lot of benefits for individuals and companies. We talked to him to learn more about his experience with workflow automation and why he decided to use n8n. Mani Kumar The Mind Clan n8n Can you tell me a bit about yourself? My name is Mani, and I’m a product management consultant from Mumbai, India. My day job involves me leading strategy at a design studio called and product consulting at a management consultancy for social impact ventures called . Risevertise Helm of Eight My venture is , which curates effective tools for mental health care in India. We break through the cookie-cutter approach of the current mental health care system and restore the agency of choice of care to people seeking support through our platform. We also run corporate training, workshops, and policy interventions. We have a few SMEs and MNCs in our clientele. As a tech platform, we rely heavily on many tools, and have recently adopted n8n into many parts of our workflow. The Mind Clan I work as a product management consultant to multiple ventures, projects, and initiatives in India and try to act as their (unofficial) EIR, enabling them to solve challenges and scale. I’m also into design, website development, and automation. I’ve now started helping my clients across sectors leverage n8n for their automation requirements across the board. What made you decide that n8n would be the most suitable tool for you? I hate mundane tasks. If I see myself doing the same task multiple times, I automate as much of it as possible. I’ve automated many things from email auto-responders to image compressors, ever since I recognized how much time (and energy) I could save. I never had a favorite automation tool before n8n. Zapier/Automate.io and IFTTT were great, but while the former had questionable pricing models, the latter got me worried about data privacy (which as an enterprise you need to take into account). My go-to for any automation work was relying on the APIs of the platform directly using Python and cronjobs. That works beautifully as a local solution but not so much when you are looking to include more stakeholders. n8n filled out that void entirely. It helped me not only spend less time worrying about the security and scalability of my API endpoints, but also helped me loop in any stakeholders into the process to hand over responsibilities. What kind of workflows are you building with n8n? One of my favorite workflows (for the pure simplicity with which it worked), apart from the ones mentioned in my next answer, would be the ability to execute shell commands. I have now automated the mundane process of migrating/backing up WordPress sites (database + wp-content) by using the Execute Command node with the Cron node. With another project, I am piloting n8n + to see what the additional possibilities here could be. Bonus is to email the admin each week to download their backup. It can optionally send the file to Google Drive too. Sounds too simple to work, right? my experimental python script Which integrations have you been using the most? The hardest part about a microservices architecture is trying to find ways to bring data together seamlessly. This is why I’ve been relying on webhooks, cronjobs, if/then logic, shell script commands, and so many other integrations. I’ve also relied on the Redis, Airtable, and Google Drive integration for a few tasks. What’s the most useful feature of n8n for you? The option to seamlessly install n8n using a single line of npm, or Docker. Though I must admit, authentication took me a while to figure out. Have you automated things with n8n for personal use as well? Yes! The biggest of them has to be email alerts for my personal expenses tracker. It tracks a Google Sheet with a dump of all my expenses, and shoots me an email each time a subscription is due. I’m also going to expand it soon to include more nodes and eventually replace my local python script. What advice do you have for people looking to incorporate n8n in their teams or projects? Though authentication for n8n itself may be tricky to figure out at first, don’t let it stop you from integrating n8n into at least a small part of your daily life. If this is your first time with the tool, it may have a slight learning curve especially with the platform’s nomenclature and workflow triggers but it’s nothing that you can’t overcome. Refer to their to get a clearer idea of how their integrations work. Start small. Eventually, they’ll win you over. Their team members and are also very kind and responsive if you’re facing any hiccups. workflows page community How do you envision using n8n in the near future? I firmly believe that n8n as a hosted option (competing directly with the big players in the market) and a desktop/mobile installable app would be a HUGE sell for anyone who’s getting into the automation ecosystem without a tech background. I see everyone from marketing executives at MNCs automating their entire campaign workflows to project coordinators at NGOs and even governments being able to integrate n8n into their daily workflows. I also see many financial and legal compliance teams being able to leverage n8n as well. What’s a feature that you are looking forward to or would love to see in n8n? Apart from more interactive documentation (not a feature, I know), I think the only thing n8n is missing right now is integration with all top social media platforms. The team did tell me it’s on its way though, so I’m very excited to see this come in soon. One of my favorite uses of Zapier was to automate my social media calendar through a single Excel sheet. Cannot wait to port that into n8n. 💌 n8n users come from a wide range of backgrounds, experience levels, and interests. We have been looking to highlight different users and their projects in our blog posts. If you’re working with n8n and would like to inspire the community, email me at tanay@n8n.io to tell your story Also published at https://medium.com/n8n-io/why-this-product-manager-loves-n8n-215dc273d86a

Why This Product Manager Uses n8n for His Mental Healthcare App

What Is Server Automation

The Global Struggle to Govern AI and Automation

Traditional AI often feels like a “black box” — powerful, but opaque. Agentic AI shatters this paradigm. It’s about building AI systems that don’t just execute tasks but understand why they’re doing them, making decisions with a level of contextual awareness previously reserved for human experts. This shift towards transparent, autonomous intelligence is not only transforming enterprise software but also forcing CXOs to rethink how they manage and trust AI-driven systems. This revolutionary approach represents a quantum leap beyond traditional AI capabilities, offering a level of independent operation that promises to redefine efficiency, innovation, and problem-solving in the corporate landscape. As we stand at the threshold of this AI revolution, forward-thinking organizations must consider: How will Agentic AI reshape your enterprise’s competitive edge and operational paradigms? By integrating Agentic AI into enterprise systems, businesses can unlock unprecedented levels of efficiency, personalization, and adaptability. This blog explores how Agentic AI enhances enterprise software and why InApp is the ideal partner for organizations seeking to harness its potential. InApp Why Traditional AI Falls Short for Enterprise Needs Most organizations today use AI in some form, whether through predictive analytics, chatbots, or process automation. These tools are useful, but they still rely heavily on human intervention, predefined rules, or static datasets. They can’t independently manage changing priorities, context shifts, or emergent business scenarios. Here’s what traditional AI often struggles with: Contextual decision-making
Adapting to Unforeseen Circumstances
Personalized and evolving user experiences
Reducing the IT burden without manual oversight Contextual decision-making Adapting to Unforeseen Circumstances Personalized and evolving user experiences Reducing the IT burden without manual oversight This is where Agentic AI enters the picture, offering a more human-like autonomy in how enterprise systems function. What is Agentic AI? Agentic AI refers to advanced AI systems capable of autonomous decision-making and proactive task execution. Unlike conventional AI programmed for specific tasks, Agentic AI leverages autonomy, reasoning, adaptable planning, and workflow optimization to tackle complex objectives across dynamic environments. Key Features of Agentic AI: Autonomy: Operates independently with minimal human supervision.
Contextual Understanding: Understands instructions in natural language and adapts to changing conditions.
Proactive Execution: Initiates tasks and adjusts strategies in real time.
Workflow Optimization: Automates multi-step processes for end-to-end efficiency. Autonomy: Operates independently with minimal human supervision. Contextual Understanding: Understands instructions in natural language and adapts to changing conditions. Proactive Execution: Initiates tasks and adjusts strategies in real time. Workflow Optimization: Automates multi-step processes for end-to-end efficiency. This shift from reactive to proactive AI represents a seismic leap in intelligent automation. For enterprises, it means moving beyond basic automation to systems that can independently handle responsibilities previously reserved for employees. Why Agentic AI Matters to CXOs Most CXOs are familiar with traditional automation tools or AI assistants that streamline repetitive tasks. However, these systems often require significant human oversight and lack the ability to adapt dynamically. Agentic AI goes beyond by addressing critical pain points faced by C-level executives: Inefficient Operations: Traditional systems struggle with automating complex workflows that span multiple departments or require contextual reasoning.
Decision Bottlenecks: CXOs often face delays due to reliance on human intervention for decision-making processes.
Rising IT Costs: Maintaining and scaling existing systems can be expensive without intelligent optimization. Inefficient Operations: Traditional systems struggle with automating complex workflows that span multiple departments or require contextual reasoning. Decision Bottlenecks: CXOs often face delays due to reliance on human intervention for decision-making processes. Rising IT Costs: Maintaining and scaling existing systems can be expensive without intelligent optimization. Agentic AI offers solutions to these challenges by enabling autonomous orchestration of workflows, reducing dependency on manual intervention, and optimizing resource allocation. How Agentic AI Enhances Enterprise Software Agentic AI transforms enterprise software by introducing capabilities that were previously unattainable with conventional automation or narrow AI: Automating Complex Workflows Automating Complex Workflows Automating Complex Workflows Agentic AI excels at managing intricate workflows that involve multiple steps and dependencies. For example: In a manufacturing enterprise, Agentic AI can autonomously oversee supply chain operations — tracking inventory levels, predicting shortages, and initiating procurement processes — all without human intervention. 2. Personalizing User Experiences 2. Personalizing User Experiences By learning from user interactions and adapting in real time, Agentic AI delivers highly personalized experiences. For instance: In customer service platforms, it can analyze past interactions to tailor responses or proactively recommend solutions based on customer behavior patterns. 3. Improving Software Testing Cycles 3. Improving Software Testing Cycles Agentic AI accelerates software development by automating testing cycles. It identifies bugs, predicts potential vulnerabilities, and adapts testing strategies dynamically: A software development team could use Agentic AI to run iterative tests across multiple environments, ensuring faster deployment with fewer errors. 4. Powering AI-Driven DevOps 4. Powering AI-Driven DevOps Agentic AI optimizes DevOps processes by automating infrastructure management and deployment strategies: For example, it can monitor server performance during peak loads and autonomously scale resources to maintain uptime while minimizing costs. Real-World Scenarios: How Agentic AI Solves CXO Pain Points Scenario 1: Reducing Decision Bottlenecks A global retail company, operating across multiple regions, faced significant challenges in adjusting product prices in response to market fluctuations. Their traditional ERP system required manual approvals from regional managers, leading to delays in implementing price changes. This resulted in missed opportunities to capitalize on market trends and maintain competitiveness. Solution with Agentic AI: By integrating Agentic AI into their ERP system, the company enabled autonomous price optimization. Agentic AI analyzed real-time market data, competitor pricing, and consumer behavior to adjust prices dynamically. This proactive approach eliminated the need for manual approvals, reducing decision bottlenecks and allowing the company to respond swiftly to market changes. Impact: Impact: Improved Agility: The company could now adjust prices in real time, ensuring they remained competitive and responsive to market conditions.
Enhanced Profitability: By optimizing prices based on demand and supply dynamics, the company increased revenue and profitability.
Reduced Operational Overhead: Automating price adjustments reduced the workload on regional managers, allowing them to focus on strategic decision-making. Improved Agility: The company could now adjust prices in real time, ensuring they remained competitive and responsive to market conditions. Enhanced Profitability: By optimizing prices based on demand and supply dynamics, the company increased revenue and profitability. Reduced Operational Overhead: Automating price adjustments reduced the workload on regional managers, allowing them to focus on strategic decision-making. Scenario 2: Optimizing IT Costs A healthcare organization was grappling with rising IT expenses due to inefficient resource allocation in its cloud infrastructure. Despite using cloud services, they faced challenges in scaling resources effectively, leading to overprovisioning and unnecessary costs. Solution with Agentic AI: The organization leveraged Agentic AI-driven DevOps capabilities to automate resource scaling based on usage patterns. Agentic AI analyzed historical data and real-time usage to predict demand spikes and scale resources accordingly. This ensured that the organization only paid for what they used, optimizing costs without compromising performance. Impact: Impact: Cost Efficiency: By automating resource scaling, the organization significantly reduced IT expenses while maintaining high system performance.
Improved Resource Utilization: Agentic AI ensured that resources were allocated efficiently, reducing waste and optimizing system capacity.
Enhanced Reliability: With automated scaling, the organization could ensure consistent uptime and reliability, even during peak usage periods. Cost Efficiency: By automating resource scaling, the organization significantly reduced IT expenses while maintaining high system performance. Improved Resource Utilization: Agentic AI ensured that resources were allocated efficiently, reducing waste and optimizing system capacity. Enhanced Reliability: With automated scaling, the organization could ensure consistent uptime and reliability, even during peak usage periods. Why InApp is the Ideal Partner for Integrating Agentic AI InApp specializes in upgrading existing enterprise systems by integrating advanced technologies like Agentic AI. Here’s how InApp empowers organizations: Filling Gaps in Existing Systems Filling Gaps in Existing Systems Filling Gaps in Existing Systems Many enterprises already have basic automation or traditional AI components but haven’t tapped into autonomous orchestration yet. InApp identifies inefficiencies in these systems and integrates Agentic AI capabilities tailored to organizational needs. Custom Software Development Custom Software Development Custom Software Development InApp provides custom solutions designed to enhance enterprise software technologies with features like intelligent automation and personalized user experiences. Proven Expertise Proven Expertise Proven Expertise With a track record of delivering cutting-edge solutions for CXOs across industries, InApp ensures seamless integration of Agentic AI into existing workflows — helping businesses achieve measurable ROI. The Future of Enterprise Software with Agentic AI For CXOs planning their next leap in digital transformation, adopting Agentic AI is not just an option — it’s a necessity. By enabling autonomous decision-making and proactive execution, Agentic AI redefines what enterprise software can achieve. Key Benefits: Key Benefits: Enhanced operational efficiency through intelligent automation. Improved user experiences via real-time personalization. Reduced IT costs through optimized resource allocation. As businesses evolve toward greater complexity and scalability, partnering with experts like InApp ensures they stay ahead of the curve. Wrapping it up Agentic AI represents a paradigm shift in intelligent automation, offering capabilities that go far beyond traditional systems used by enterprises today. By automating complex workflows, personalizing user experiences, improving software testing cycles, and powering DevOps processes, it addresses critical pain points faced by CXOs. InApp’s expertise in integrating advanced technologies like Agentic AI makes it the perfect partner for organizations looking to upgrade their enterprise software technologies. Whether you’re seeking custom solutions or aiming to optimize existing systems for autonomous orchestration, InApp delivers results tailored to your needs. Take the next step toward transforming your business operations with InApp’s AI-powered solutions for enterprise software development. Take the next step toward transforming your business operations with InApp’s AI-powered solutions for enterprise software development.

Agentic AI in Enterprise Software: The Next Leap in Intelligent Automation

Agentic AI en el software empresarial: el próximo salto en la automatización inteligente

एंटरप्राइज़ सॉफ्टवेयर में एजेंटिक एआई: बुद्धिमान स्वचालन में अगला झटका

Agentic AI in Enterprise Software: il prossimo salto nell'automazione intelligente

Agentic AI in Enterprise Software: The Next Leap in Intelligent Automation(エンタープライズソフトウェアにおけるエージェントAI:インテリジェントオートメーションにおける次の飛躍)

ອຸດສາຫະກໍາ AI ໃນ Enterprise Software: The Next Leap ໃນ Automation Intelligent

Agentic AI dalam Perisian Enterprise: Lompatan seterusnya dalam Automasi Cerdas

Out Right International, Feminist Association, Society for Women Geographer, Amnesty Internationalआदिजस्ता अन्तर्राष्ट्रिय सङ्घ–संस्थासँग पनि पारिजात सम्बन्धित हुनुहुन्थ्यो ।

Inteligência Artificial em Software Empresarial: O próximo salto na automação inteligente

Agentic AI în Enterprise Software: Următorul salt în automatizarea inteligentă

Agentická AI v podnikovom softvéri: ďalší skok v inteligentnej automatizácii

Agentic AI sa Enterprise Software: Ang Next Leap sa Intelligent Automation

I-Agentic AI kwi-Enterprise Software: Le nqakraza elandelayo kwi-Intelligent Automation

In an increasingly digital marketplace where website reliability directly impacts business success, the transformation of a major corporate website's testing infrastructure stands as a testament to innovative automation architecture and technical leadership. Led by Automation Architect Srikanth Srinivas, this ambitious multi-year initiative set new standards for test automation efficiency, continuous integration, and quality assurance within large-scale enterprise web environments. The corporate web project, a strategic collaboration between a leading global technology firm and a major IT services provider, presented substantial challenges in maintaining the digital integrity of a widely recognized brand. As the company's primary digital storefront serving millions of visitors monthly, the site demanded flawless performance across various browsers, devices, and user interactions. Tasked with designing and implementing a robust testing framework, Srikanth Srinivas tackled the complex challenge of enabling seamless content deployment and updates across an expansive digital ecosystem—while significantly reducing the manual testing effort that had previously consumed thousands of work hours. At the core of this success story was a methodical and forward-thinking approach to automation architecture and implementation. Srikanth Srinivas designed and deployed a sophisticated, Java-based, extendable test automation framework that leveraged tools such as Selenium/WebDriver, TestNG, FitNesse, and Galen. His technical strategy emphasized reusability and modularity, with each component engineered for long-term scalability. The framework supported both functional and visual validation, ensuring pixel-perfect rendering across multiple platforms while simultaneously verifying critical business functionality. This innovative solution became the foundation for a comprehensive web quality assurance strategy, enabling consistent validation of a complex content management system across development, staging, and production environments. The financial and operational impact of Srikanth’s work went far beyond traditional quality assurance metrics. By developing a reusable library of functions (keywords), the project eliminated more than 22,000 hours of manual testing effort—delivering significant cost savings. This leap in efficiency marked not just an improvement in process, but a fundamental shift in how enterprise-level websites could be tested and maintained at scale. Perhaps most notably, Srikanth Srinivas's technical leadership extended well beyond framework development to encompass the entire testing ecosystem. By establishing a robust Jenkins-based continuous integration environment and serving as build master, he seamlessly integrated automation into the broader CI/CD pipeline—dramatically improving deployment efficiency. His implementation featured advanced scheduling, real-time reporting dashboards, and automated notification systems that proactively alerted teams to issues before they reached production. The system incorporated multiple validation gates, ensuring that content updates, marketing changes, and technical enhancements all underwent rigorous checks prior to deployment. This comprehensive quality assurance approach enabled faster, more reliable releases while significantly enhancing website stability and user experience—safeguarding the integrity of a globally recognized digital presence. Effective stakeholder management was also key to the project’s success. The exceptional performance and smooth execution made a lasting impression on leadership across both partnering organizations. The initiative was ultimately honored with a prestigious Best Project Award—an acknowledgment of the transformative impact driven by Srikanth’s automation architecture and strategic implementation. The achievement earned recognition across multiple levels of the organization, establishing Srikanth Srinivas as a respected authority in the field of automation. Beyond the immediate success of the project, his contributions had a lasting impact through mentorship and knowledge sharing. Srikanth coached team members, supported defect lifecycle management, and elevated the overall technical capabilities of the group. His collaborative leadership style encouraged the adoption of automation best practices and helped foster a culture of quality that extended well beyond the core team. By documenting processes, creating detailed training resources, and initiating communities of practice, he ensured that the benefits of his innovations would persist long after his direct involvement. For Srikanth personally, this project marked a significant milestone in his career. It deepened his expertise in automation architecture and positioned him for future leadership roles in automation strategy. The experience also broadened his skill set beyond traditional QA to include CI/CD integration and DevOps practices, shaping the direction of his professional growth. This success story highlights how strategic technical leadership, combined with innovative automation architecture, can transform enterprise-scale web testing. The project not only improved the digital reliability and performance of a major online platform but also set new benchmarks for automation efficiency across the industry. As digital transformation accelerates across sectors, this case stands as a compelling example of how focused expertise and vision can drive exceptional outcomes in complex web environments. Looking ahead, the success of this project aligns seamlessly with Srikanth Srinivas’s long-term professional goals. Currently pursuing a Master of Science in Systems Engineering and Management, he envisions the future of test automation evolving through the integration of AI-driven solutions, a stronger emphasis on cybersecurity, and continued contributions through mentorship and industry engagement. His ambitions to implement self-healing test frameworks and enhance CI/CD pipelines with advanced automation techniques are a natural progression from the foundation built during this transformative initiative. Srikanth’s ongoing dedication to innovation in automation architecture, combined with his growing focus on cybersecurity, positions him to drive meaningful advancements in software quality and security. As organizations increasingly prioritize secure, seamless digital experiences, the methodologies and practices championed by Srikanth offer a forward-looking blueprint for the future of enterprise-level test automation and quality assurance. About Srikanth Srinivas An accomplished Automation Architect with a strong track record of designing efficient, scalable testing frameworks and DevOps solutions, Srikanth Srinivas has built a distinguished career across industries such as connected vehicle technology, healthcare, and e-commerce. Currently advancing his education in Systems Engineering and Management, Srikanth brings deep technical expertise in areas including advanced framework design, continuous integration, mobile automation, and cloud-based implementations. His capabilities span the entire testing lifecycle—from requirements analysis to execution and reporting—with a particular strength in building resilient automation architectures that adapt to evolving applications. Srikanth’s approach emphasizes modular, reusable components that reduce maintenance overhead while increasing test coverage, allowing him to deliver consistent results across varied technology environments and business domains. A recognized contributor to the Selenium community and recipient of multiple accolades such as Outstanding Staff and Most Valuable Player awards, Srikanth is known for pushing innovation in automation architecture while mentoring emerging professionals in the field. His leadership style combines technical precision with a focus on practical, value-driven implementation, ensuring that solutions not only meet business needs but also elevate standards in software quality assurance. Looking ahead, Srikanth aspires to lead initiatives in AI-powered test automation, deepen the integration of security into testing pipelines, and shape industry best practices through speaking engagements and technical publications. With a unique blend of deep technical knowledge, cross-industry experience, and systems engineering insight, he is well-positioned to continue shaping the future of automation and quality assurance. This story was distributed as a release by Echospire Media under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Echospire Media under HackerNoon’s Business Blogging Program. Learn more about the program here. here here

Scaling Web Testing with Automation: Srikanth Srinivas’s Digital Strategy Breakthrough

Escalfar la prova web amb l'automatització: la revolució de l'estratègia digital de Srikanth Srinivas

Η κλιμάκωση των δοκιμών ιστού με αυτοματοποίηση: η ψηφιακή στρατηγική της Srikanth Srinivas

Escalando la prueba web con la automatización: el avance de la estrategia digital de Srikanth Srinivas

בדיקת אינטרנט בקנה מידה באמצעות אוטומציה: פריצת דרך באסטרטגיה הדיגיטלית של Srikanth Srinivas

ऑटोमेशन के साथ वेब परीक्षण का स्केलिंग: Srikanth Srinivas की डिजिटल रणनीति विफलता

Scaling web testiranje s automatizacijom: Srikanth Srinivasova digitalna strategija proboj

Scaling Web Testing with Automation: la strategia digitale di Srikanth Srinivas

自動化によるWebテストのスケーリング:Srikanth Srinivasのデジタル戦略の突破

스케일링 웹 테스트를 자동화 : Srikanth Srinivas의 디지털 전략 혁신

Автоматаар Web Testing Scaling: Srikanth Srinivas-ийн Дижитал Стратегийн Сурталчилгаа

Srikanth Srinivasको डिजिटल रणनीति विघटन

Skala webbtestning med automatisering: Srikanth Srinivas digitala strategi genombrott

Artificial intelligence has emerged as a result of rapid technological innovation. It is used in a variety of applications, such as factory machines and internet chat rooms. This has raised a lot of alarm. People wonder if machines will replace the jobs that people have been doing for years. However, the truth is more complex than that. Though it will not eliminate most jobs, AI is changing the way we work. It will often only change the appearance of the work. Additionally, it has the ability to enhance demand for individuals in certain areas. Let us look at why individuals are still vital and where we are likely to go in the future. Certain tasks necessitate a human touch. This is the actual image. Certain tasks necessitate a human touch. This is the actual image. There are certain tasks that machines excel at. They can sift through massive volumes of data, react to simple questions, and execute the same tasks repeatedly without tiring. However, they struggle with empathy, human emotions, and original thinking. they struggle with empathy, human emotions, and original thinking. Consider calling a help center. A chatbot can help if the question is straightforward. They prefer a genuine person who can relate to them when they are upset, confused, or coping with a specific problem. Machines are heartless. They don't understand what stress and dissatisfaction are. Personal connection is essential in environments such as schools, hospitals, and even restaurants. A teacher assisting a student, a nurse comforting a patient, or a waiter greeting someone are all examples of jobs that involve more than just following the rules; they also demand an understanding of people. As a result, machines cannot fully replace humans, even if they can help with specific activities. Actually, as more technologies are used, we see the value of human compassion and understanding. Not Every Company Can Invest in AI. Not Every Company Can Invest in AI. On paper, transitioning to AI appears to be a great idea, but it is not always viable. Setting up machines and software requires time, money, and skill. That is beyond the means of many small businesses. Even major firms must think carefully before replacing human workers with technology. There are dangers as well. Machines can malfunction. If anything unusual happens, they may make mistakes. They are not as quickwitted as humans. As a result, even after implementing AI tools, firms frequently require human assistance when appropriate. Often, it makes more sense to keep human staff. People are flexible. They are competent to settle problems. Furthermore, individuals provide a level of adaptability that robots do not have. People are flexible Policies and laws can make an impact. Policies and laws can make an impact. Governments also have an important role. The economy may suffer if too many jobs are lost too quickly. As a result, numerous governments are beginning to implement regulations. These regulations may limit the extent to which automation can replace humans or help employees learn new skills. This is especially important in countries where voters may elect their own leaders and policies. Voters may choose leaders who commit to support fair labor standards and protect jobs. Governments may also help by offering tax breaks to enterprises that hire people rather than machines, or by funding job training programs. The premise is that choices are equally crucial as technology. Society has the ability to influence AI's deployment in such a way that it benefits mankind rather than replacing it. AI will create new jobs as well. AI will create new jobs as well. AI will create new jobs as well. New forms of vocations will emerge, even as certain jobs may disappear. New inventions have always been like this. The increasing usage of the internet created previously unheard-of jobs such as social media administrators, website developers, and online content creators. AI is now facing the same problem. Data analysis, cybersecurity, and AI system monitoring are among the industries experiencing a spike in new jobs. Humans are necessary to train, inspect, and improve the performance of machines. Even more established occupations are shifting. Customer service agents may no longer answer every call, but they may supervise the AI system, act in complex circumstances, and contribute to its development. It is consequently more useful to consider employment as evolving rather than merely disappearing. A real-world perspective A real-world perspective Klarna, a payment-processing software startup, intended to replace a major amount of its customer support workers with AI. This first appeared to be a good way to save money. However, problems quickly became apparent. Consumers were not pleased. The service no longer felt personal. Complex or sentimental requests proved too much for the robots to manage. Klarna's CEO recognized that cost-cutting efforts received too much attention. As a result, the degree of service quality dropped. Now, the company is hiring new personnel and undoing some of the changes. When AI technologies fail to perform properly, they experiment with other ways to provide support, such as allowing people to work remotely. Klarna's CEO recognized This case indicates that relying solely on machines is not always effective. Even the most modern machinery cannot replicate a human's warmth, compassion, and comprehension. Klarna replaced 700 employees with AI, only to face a $40 billion loss and customer dissatisfaction. The company now seeks to bring back human workers after realizing AI alone wasn't the answer. Klarna replaced 700 employees with AI, only to face a $40 billion loss and customer dissatisfaction. Numerous businesses are reevaluating AI. Numerous businesses are reevaluating AI. Klarna is not alone herself.   Businesses throughout the world are starting to worry how much they can rely on AI. According to one survey, many business executives were dissatisfied with the results of the application of AI technologies. They discovered that the technology was less reliable than they had hoped, and it was difficult to find the essential skills. Klarna According to a separate UK survey, over half of firm executives who had AI replace their positions later felt disappointment. Furthermore, when researchers evaluated AI-powered teams, they discovered that the results were unsatisfactory, with many robots only completing a small part of the tasks allocated to them. These findings highlight the limitations of AI. It is not a cure-all, but it can be beneficial. Many jobs still require employees, and replacing them too quickly may generate problems. A shared future with humans and machines A shared future with humans and machines The most conceivable future scenario is one in which people and machines cohabit. Machines can help with repetitive tasks and accomplish heavy lifting. Individuals will continue to solve challenging challenges, show charity, and make critical decisions. Although the nature of employment is changing, it does not mean that people are being replaced. We must adapt by developing new skills, remaining flexible, and understanding how to use technology. Those that are curious, thoughtful, and adaptable will always have a place. Employees can move from more traditional to more modern, in-demand occupations with the assistance of governments and corporations. The most essential thing is to stay focused on individuals. Machines are just tools; unlike people, they have no emotions, concerns, or mental processes. They can be valuable, but they should not replace our humanity. AI does not have to imply a frigid or disconnected future. We can create a society in which technology and humans coexist if we use it wisely. It starts with remembering that work is about people, their dignity, and their potential for growth, not just chores.

Klarna’s $40B AI Misstep Reveals Limits of Automation

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