20/20 Onsite is revolutionizing how vision care benefits are being delivered to companies. Our state of the art mobile vision center arrives at your business’s front door providing your employees with the most convenient eye exam that they will ever receive. Over 300 companies trust 20/20 Onsite to provide their employees exceptional vision care at a fraction of the time of traditional visits. 20/20 Onsite also takes great pride in delivering our vision care services to inner-city middle and high schools as we believe strongly that disadvantaged students should have the same access to quality health care and eyeglasses as everyone else. See more at www.2020onsite.com

2020 On-site

In the into the four pivotal Go-To-Market ( ) strategies, we took a deep dive into and . We unraveled how PLG becomes a powerhouse driving customer acquisition, conversion, and expansion, while Channel Sales, through strategic partnerships, can unlock the potential of other ecosystems to hasten growth. As we venture into the next installment of this series, our focus shifts to the dynamics of Inside Sales and Field Sales. Each of these strategies carries distinctive strengths and uses, depending on your business environment, and mastering them can shape a successful GTM strategy. opening chapter of our comprehensive exploration GTM Product-Led Growth (PLG) Channel Sales But First, A Little Intro I am Wilson Huang, responsible for the GTM strategy at , and I invite you to delve deeper into our sales strategy toolkit as we explore the intriguing world of Inside Sales and Field Sales. For insights on the first two GTM motions, you can refer to the previous in this series. ATMOSIScience article 1. Inside Sales In the fast-paced world of Inside Sales, it's all about picking up the phone, dialing, and selling – much like scenes from "The Wolf of Wall Street". But beyond the cinematic allure, Inside Sales is a robust, practical strategy that uses virtual interactions to sell products or services. Inside Sales uses virtual, non-face-to-face interactions to sell, proving effective across all stages of the sales process – from prospecting to renewal and lead expansion. Typical Roles in Inside Sales: Business Development Representative or Sales Development Representative (BDR or SDR): Lead qualification and prospecting. Account Executive (AE): Negotiation and deal closure. Customer Success Representative or Account Manager (CSR or AM): Customer retention and upselling. Post-COVID, prefer primary information sources, and 62% can finalize vendor selection based on digital content alone. Around 99% of US and 100% of EMEA enterprise B2B IT buyers prefer mostly or entirely virtual software purchases. 60% of B2B buyers non-interactive Bain surveyed IT decision makers across industries and company sizes in US and Europe, ~70% of respondents were from enterprise-sized companies (1,000+ EE); the ‘Entirely virtual’ purchasing model represents the combination of video, phone, and email/messaging as well as entirely email or other purely digital interactions; ‘Majority virtual’ purchasing includes occasional in-person on-site meetings Note: Source: Bain experience; Bain COVID-19 B2B IT software survey (September 2020; US N=98; EU N=50), Forrester research Determining Who to Call: This involves identifying potential lead sources for your business, which could include the following: LinkedIn Ads and Organic Reach Twitter Ads and Organic Reach Facebook Ads and Organic Reach Instagram Ads and Organic Reach Social Media Influencers Blogging Search Engine Optimization Purchased Lists/Emails Google Search and Display Ads Bing Search and Display Ads Once you've generated leads from these sources, it's crucial to qualify them. It's not necessary, or even feasible, to call all leads; focus on the qualified ones. A lead might qualify if they request a demo or download a brochure from your website - these are often termed Marketing Qualified Leads (MQLs). Several scoring factors can help organizations determine whether a lead is qualified, including: Type of form (webinar, content download, demo request) Completeness of form information Use of a company email versus a personal email IP address location data Analysis of website page visits Email open/click rates Time decay factor The sequence typically followed is: a content download leads to an immediate email follow-up, which triggers a content-dependent email sequence, and finally, the lead is added to the marketing list. Inside Sales Considerations: The price you are selling should ideally be a few hundred dollars per month (or better, a few thousand) for the to support Customer Acquisition Cost (CAC). Onboarding and hiring new reps take time. Lifetime Value (LTV) Key Inside Sales Statistics: A typical Inside Sales person makes about , engages in , and sends approximately . 350 phone calls 140 conversations 530 emails per month Key Takeaways: It is suitable for selling complex products requiring purchasing assistance. More field sales and inside sales are moving toward digital discovery (or PLG). The preference for Inside Sales is often industry-dependent. For instance, individuals in the B2B software industry may lean towards this virtual method, while those in more traditional sectors, like the cigar industry, might favor face-to-face field sales and tradeshows. This happens to me very often as I interact with ATMOSIScience’s customer base. 2. Field Sales Field sales refer to the deployment of experienced professional salespeople - who are direct employees of your business - into the 'field', meaning they visit customers in person multiple times a week. This model is typically applied in environments with long sales cycles, complex products, high-value customers, or complex matrixed customer decision-making units. The salespeople are geographically distributed and typically segmented by account, geography, sales stage, industry/vertical, or some combination thereof. Characteristics: Compensation is a primary tool to drive behavior Geographically distributed sales organization that interacts with customers in person Inside resources such as BDRs often applied to generate or develop leads May require custom, complex contracts Combines the art and science of selling Pros: Rapid, comprehensive customer feedback Closing larger deals with expansion potential Predictability when well executed Control over the sales cycle The ability to become a trusted partner to your customers The capacity to engineer deals to meet specific needs Cons: The most costly GTM model Lengthy sales cycles Limits to experimenting at scale due to dominant company culture Growth is throttled by the speed of hiring Buyers may resist engaging with sales personnel Changing market dynamics can disrupt the economic feasibility Key Takeaways: Field sales are suitable for complex products/services, especially in large accounts with large LTV. For example, companies like SpaceX, IBM, Oracle, and biotech companies in general. It provides valuable insights about your customer It has the potential to close larger deals with room for expansion It can define your company's culture It scales with growth in distributed headcount and infrastructure. , I want to share an insightful chart crafted by my mentors at MIT Sloan's Entrepreneurial Sales Class (15.387). This chart vividly illustrates the relationship between Customer Acquisition Cost (CAC) and deal size, particularly in the context of the four Go-To-Market (GTM) strategies discussed in this series: In conclusion As we wrap up this deep dive into the four GTM strategies, I hope you've gained a more profound understanding of the nuances and complexities of these vital elements in shaping a business's growth trajectory. From Product-Led Growth and Channel Sales to Inside and Field Sales, each GTM strategy plays a unique role in shaping your customer outreach and defining your market position. While it may seem like a challenge to pick the 'right' GTM strategy, remember that the best approach is often a blend of these strategies tailored to your unique business context and market dynamics. At , we've navigated our path through these strategic decisions, continuously refining our approach as we learn more about our customers, our capabilities, and our market. Our journey, like yours, is ongoing - a testament to the fluidity and dynamism of the entrepreneurial landscape. ATMOSIScience I hope this series has provided you with valuable insights, practical tools, and most importantly, the confidence to navigate your own journey with a strategic lens. In the realm of GTM, . But with understanding, agility, and the right strategies in your toolkit, you'll be well-equipped to make the right moves for your business. there's no one-size-fits-all

Mastering the Moves: A Comprehensive Study on the Four Key Go-To-Market Strategies (Part II)

চালকে আয়ত্ত করা: চারটি মূল গো-টু-মার্কেট কৌশলের উপর একটি ব্যাপক অধ্যয়ন (দ্বিতীয় খণ্ড)

Die Bewegungen meistern: Eine umfassende Studie über die vier wichtigsten Go-To-Market-Strategien (Teil II)

Dominar los movimientos: un estudio integral sobre las cuatro estrategias clave de comercialización (Parte II)

Maîtriser les mouvements : une étude approfondie sur les quatre stratégies clés de mise sur le marché (Partie II)

मास्टरिंग द मूव्स: चार प्रमुख गो-टू-मार्केट रणनीतियों पर एक व्यापक अध्ययन (भाग II)

動きをマスターする: 4 つの主要な市場投入戦略に関する包括的な研究 (パート II)

움직임 마스터하기: 4가지 주요 시장 진출 전략에 대한 종합 연구(2부)

Dominando os movimentos: um estudo abrangente sobre as quatro principais estratégias de entrada no mercado (parte II)

Hamlelerde Ustalaşmak: Dört Temel Pazara Çıkış Stratejisi Üzerine Kapsamlı Bir Çalışma (Bölüm II)

Làm chủ các bước đi: Nghiên cứu toàn diện về bốn chiến lược tiếp cận thị trường chính (Phần II)

掌握动作：全面研究四大关键上市策略（下）

Unless you’ve been squirreled away in your home office, you’ve heard about the rise in digital transformation across companies of all sizes. According to a McKinsey & Company 2022 survey, 90 percent of organizations underwent at least one major digital transformation between 2020 and 2022. In other words, a large number of your competitors might be trying to outmaneuver you through a tech-related revamp. If this makes you rethink your decision not to have any IT personnel, you’re a wise leader. After all, having at least one full-time IT team member within the fold could open the doors for you to make sure your tech stack is advanced, maintained, and secure. The only problem is that you can’t just jump ahead without weighing the pros and cons of bringing IT professionals aboard. The pros aren’t hard to imagine. An IT-focused staff member can serve as the point of contact for all your technical questions and solutions. You’ll have a go-to person to provide insights and guidance on a topic you and the rest of your employees might know little about. This can help you stay ahead of the disruption curve or at least ride it out in a decent position. What are the cons? The first involves cost. Paying for an IT professional isn’t cheap. Plus, it might be challenging to find a talented IT worker or team. An SHRM report found that 73 percent of leaders anticipate difficulty finding tech personnel. Of course, you might have the opposite problem, which is onboarding too many IT workers and creating a bloated IT department. This leaves you with a conundrum. Do you try to go it alone or email your favorite recruiter? The answer is actually a third choice which is to opt for a robust IT SaaS solution. That way, you can get the best of all worlds, including authority, availability, access, and affordability. Not only will you save money to put into other initiatives, but you’ll also still be able to disrupt with the best of them. This doesn’t negate the need for you to take some measures to ensure that you pick the right SaaS to keep your business running smoothly from a technical perspective. Before signing any contracts, make sure the software will give you the following advantages: 1. The Ability to Keep Your Customer Experience Strong Customer experience is everything these days. Take personalization, for instance. McKinsey research found that 71 percent of consumers expect personalized interactions with companies. Your SaaS should help you drive your personalization efforts by making it possible to set up automated communications that don’t feel robotic. How can you be sure your SaaS offers you the ability to provide custom engagements across your platform? Look at its capabilities. Often, SaaS systems will be able to integrate with other products you’re using, such as your customer relationship management system. The more options you have, the easier it will be to make customers feel like they’re getting white glove treatment. 2. Dashboards That Make Sense If you and the rest of your team members can’t figure out how to understand or work your SaaS, you’ll sink before you begin. You should have more than just visibility within your dashboards. Those dashboards need to make sense, too. A survey of U.K.-based businesses by CWJobs showed that just 27 percent of IT decision-makers were happy with their teams’ abilities to leverage the technology they had invested in. Could some of the problems be related to confusing tech? Don’t be fooled by promises from SaaS providers. Go through a demo and test-drive the software for free, if possible. Having an amazing IT program won’t be amazing if it’s too complicated to use. You’ll just end up hiring an IT employee to serve as a translator. 3. A History of Solid Uptime Downtime will always hurt your business operations. When outsourcing IT to one or more SaaS providers, you need to make sure they’re doing all they can to stay up and running. Otherwise, you could end up losing momentum and money -- and a lot of it. In 2021, ITIC found that just one hour of server downtime cost $300,000 for more than 90 percent of mid and large-size enterprises. One way to check how SaaS vendors handle and mitigate downtime is to read reviews. Avoid the reviews on their websites (they’ll always be glowing), and go to objective, third-party sources. Then, check out their service-level agreement (or SLA). Downtime is frequently mentioned in SLAs. 4. The Compliance Coverage You Need You’re probably going to see the word “compliant” a lot if you go to any SaaS product’s website. However, that’s a broad word. What’s important to one organization in terms of compliance and regulations might leave you unmoved -- and still exposed to unwanted repercussions. Remember: When Amazon can be fined about $888 million for violating the EU’s General Data Protection Regulation, no brand is immune. First, you should know what rules matter to you. Case in point, if you’re in the healthcare industry, you’re naturally going to be concerned about HIPAA. It’s best to do some homework. The last thing you want is to choose an IT SaaS that puts you at risk. Embarking on a digital transformation journey isn’t just for enterprise-level organizations. Smaller businesses can do it, too. And with the right software, you won’t have to add an IT department to become a disruptive force.

How to Achieve Digital Transformation With SaaS (No On-site IT Needed)

2022 is over, and not a moment too soon. I'll never forget it: some of my friends had to flee their own country; others are fighting for their freedom as I write this post. I hope they will be safe and that their wishes will come true in 2023. On the personal and technical side, here's a summary of the past year from my perspective. Job Change First and foremost, I changed jobs. I worked for for 3½ years. However, I started to become dissatisfied with the company's direction and my position within it. Hazelcast I looked for a couple of months for my next gig. In February, I started to work on : Apache APISIX Full Lifecycle API Management API Gateway, Ingress Controller, etc. Apache APISIX provides rich traffic management features like Load Balancing, Dynamic Upstream, Canary Release, Circuit Breaking, Authentication, Observability, etc. When I joined Hazelcast, I had to distributed systems and concepts related to them: clocks, order, split brain, leader, etc. In comparison, an API Gateway such as APISIX is pretty simple. Hence, my focus is more on underlying technologies: understand learning NGINX OpenResty Lua Kubernetes Ingress etc. It means I had to shift the subjects I write about: you won't find any Java and hardly any Kotlin. My Blog In 2022, I published 50 blog posts on : one each week on Sunday, but on Christmas and the New Year - for obvious reasons. Here are the top 5 most viewed pages: https://blog.frankel.ch/ Rank Post Views % Avg. time on page 1 Hard things in Computer Science 26,123 5.29 00:05:35 2 A poor man's API 21,297 4.32 00:05:04 3 Discussing Backend For Front-end 18,626 3.78 00:04:57 4 Homepage 18,062 3.66 00:00:59 5 A list of cache providers 14,646 2.97 00:03:32 Two things are of interest: The 4th most viewed page is the homepage. The 5th, about cache providers, was published in October 2021. It's a long tail, indeed! Views are broken down as the following during the year: You can notice a couple of huge spikes. They are front page occurrences. I advertise on HN when I believe the post has potential; sometimes, others do. Most viewed posts correlate somewhat with referrals from Hacker News. Hacker News Rank Post Views % 1 A poor man's API 10,924 38.57 2 Discussing Backend For Front-end 8,128 28.69 3 Hard things in Computer Science 4,072 14.38 4 What I miss in Java, the perspective of a Kotlin developer 2,180 7.70 5 Toying with Kotlin's context receivers 1,023 3.61 Cross-Posting 2022 also saw consistent cross-posting on third-party content aggregator sites, which allow linking to the original post. As a reminder, Google (and other search sites) flag similar content as duplicate. If the aggregator site has more "page rank" than your site, then the content on the latter will be marked as such. The attribute is the way to tell Google: here's the original content, don't flag either as duplicate. I only post on sites with such a feature. rel canonical That being said, here are my followers depending on the site: : 564 Medium : 1,838 Dev.to : 80 Hashnode : no follow feature DZone : no follow feature Hacker Noon : no follow feature either foojay.io It's interesting to see that though I thought focused on web and front-end, I got many followers though I rarely write on such subjects. Conversely, I still need to understand why my follower base on Hashnode doesn't take off. dev.to Public Speaking Indeed, 2022 was not my best year in terms of conference attendance. Here's a comparison of the previous years: Raw numbers are a bit misleading: because of Covid, I spoke at many events online in 2020 and 2021. It's easier to do so than traveling to another country (or continent!); on the other hand, engagement is much lower, not to mention the lack of social interactions. much Anyway, 2022 numbers are below 2019's, the last "regular" year. Despite this, I'm ok with it: 2019 was hard on me, and conference attendance is more of a marathon than a sprint. I think I've found the sweet spot between public speaking and other activities. Regarding content, I mainly did two talks: Evolving your APIs Chopping the monolith It's below the number of talks I usually try to achieve, but they were pretty popular, especially the first one. I'm working on more diversity for 2023. GitHub Contributions As a Developer Advocate, my are different from the ones of a regular software developer, especially one working on Open Source. GitHub contributions Most of my contributions are commits because I'm the only one working on my demos. Furthermore, I regularly update them with the latest version of whatever dependency I use. I'm trying to open issues on Apache APISIX since I'm a huge user. Eating one's dog food is a great way to uncover either bugs or usability improvements. Finally, pull requests are for blog posts and reviews for my colleagues' blog posts. Conclusion Years when one changes jobs are always challenging but very interesting; 2022 was no different. My resolution for 2023 are: To deepen my understanding of the Apache APISIX ecosystem. Write as many blog posts as in 2022 - it's hard to do better, anyway. Design at least three new talks What are yours? Originally published at on January 8th, 2023 A Java Geek Photo by on Michael Skok Unsplash

Looking Back on My 2022: A Year in Review

Local SEO: How to Rank #1 on Google

First, it was SolarWinds; then over the Fourth of July weekend, a ransomware attack by a Russian hacker group REvil left hundreds of companies' information susceptible. Now, the hackers are demanding in Bitcoin to unlock thousands of businesses affected. President Joe Biden has called for cybersecurity to be a top priority. $70 million Previously, two data breaches in Q3 of 2020 left more than to the public per breach—nearly the same amount as the population of China—while four other attacks exposed over 100 billion previously private records. It’s time to heed his words. 1 billion records exposed Yet time and again, as the headlines die down, concerns about security among decision-makers fade into the background until the next hack. Meanwhile, hackers are quickly evolving from young nerds in their parents’ basements to state-level actors launching sophisticated and dangerous attacks. As attackers become more sophisticated, both in their abilities and tools of deception, when will enough finally be enough? The attack on went undetected for months in 2020. Malicious code was snuck into software that monitors computers of government agencies and a myriad of large corporations in the U.S. The malware allowed the hackers to obtain insider information by directly accessing the organizations’ networks. are saying Russia’s Foreign Intelligence Service (SVR) is responsible for the SolarWinds attack, but Russia denies any responsibility. SolarWinds Top security advisors The hack didn’t just corrupt government organizations—it also left multiple Trump administration members vulnerable, including the head of the Department of Homeland Security. According to FireEye executive , Charles Carmakal “dozens of incredibly high-value targets were compromised.” And unbeknown to most, this type of attack is not unprecedented. Large corporations saw a rise in data breaches beginning in 2019, and the trend continued through 2020. At the beginning of 2020, a data breach at left 280 million people's email addresses, IP addresses, and support case details out in the open. Not only do these hacks target company information, but they expose personal information as well. As attacks become more sophisticated, privacy is becoming increasingly important and having the right security on connected devices is half the battle. Microsoft Companies with mad security still can’t get it right. Why? COVID-19 accelerated the rush to the cloud, and digital transformation increased the scope of cyberattacks. Many companies that used to keep all sensitive data on-site now hold it in a cloud ecosystem. As all the data is now processed and stored in public cloud environments, it’s easier for hackers to obtain more valuable data, like user credentials that one uses across various apps and services. As technology improves, so do the hackers. Hackers are using automated tools, AI, and scripts for reconnaissance to look for multiple entry points and infiltrate the company’s security. On top of the newfound sophistication, many companies haven’t updated their security systems during the move to the cloud, which continually makes it easy to hack into their private servers. State-sponsored attacks are continuing to increase as some countries use offensive cyber espionage to attack others. These state-attacking organizations are well-funded, and the attackers are very organized, working in teams and shifts with the goal of finding a breach and exploiting it. How do we stop the cycle? So what happens when this information falls into the wrong hands? As cybercrimes become the new standard of warfare, people need to be careful with their information. These state actors are continuously and monitoring everyone, not just those high up in the government. gathering information The U.S. isn’t the only country with cyber in mind. The European Council recently adopted new conclusions for the EU cybersecurity strategy, allowing for autonomous choices on cybersecurity . The decision highlighted a number of areas the council will focus on within the next 10 years, including a network of security operation centers and an EU joint cyber unit, and it discusses the need for stronger cooperation between nations to keep other non-EU countries from being able to infiltrate into their government networks. The and Australia have also recently released new cyber strategies after reports showed their government computers were . measures U.K. susceptible to cybercrimes As hackers get smarter and more sophisticated, government bodies and corporations need to continue to invest in research and evaluation of new security technologies, keep their security teams up-to-date, and adjust their security measures to the Cloud infrastructure. The world is continuing to become more digital, and everyone has privacy on their mind. No one wants their information—ID, social security number, or bank account information—in the wrong hands, and it’s up to these bodies to make sure our data stays safe in the long run. About the Author Dr. Eduardo Rocha is a Senior Solutions Architect & Anti-Fraud Expert at . He obtained his Ph.D. in Network Security from the University of Aveiro. Rocha has more than 10 years of experience in the field of network security and botnets’ identification and mitigation. He specializes in innovative anti-fraud, identity management, and zero-trust solutions. Rocha is responsible for scoping customers’ requirements while devising and integrating the most appropriate content delivery and security solutions for a wide portfolio of state-of-the-art solutions. GlobalDots

How Hacks Happen: Views on the July 4th Ransomware Attack

Find out what it means to be a data scientist at Amazon! Their salaries, roles and required experience, types of data positions, and interview process. Amazon.com, Inc. is the largest internet company in the world, and unique in its focus on the "customers’ desire for lower prices, better selection, and convenient services." Amazon is the world's largest online retailer, and that's in addition to its products in AI Assistant technology, streaming services, and cloud computing. Founded by Jeff Bezos in his garage in 1994, Amazon now has nearly 1.3 million employees across the world, after adding around half a million in 2020 alone. Amazon has over 200 million subscribers on its two-day delivery services, Amazon Prime, as well as over 150 million mobile users on the Amazon app, with the Amazon Marketplace moving more than $300 billion worth of products over the course of 2020. That's not to mention Amazon owning almost half of the world's public cloud infrastructure market through its subsidiary, Amazon Web Services (AWS), through which it earned over $380 billion in net sales revenues. On top of this, all is Amazon's "customer-obsessed" business model, pushing Amazon Data Scientists to leverage its data to create the best experience for all of its users across Amazon's various platforms. Data roles at Amazon do some of the most cutting-edge research in artificial intelligence and machine learning to create forecasts and optimize algorithms for their customers. Find out more information about working at Amazon on their page. Find current open positions . Be sure to also check out Amazon's . Amazon Jobs Amazon data scientist here Career FAQs Amazon Data Scientist Salaries​ Here's a quick overview of the types of data positions at Amazon and their respective salaries, with a comparison to the national average. Total compensation at Amazon also includes health & dental insurance, life insurance, 401k with company match, company RSUs, and bonuses. Check out for a deeper dive on Amazon salaries and benefits. levels.fyi Let's take a look at additional qualifications for these roles. Qualifications for Business Analyst Qualifications for Data Scientist Qualifications for Data Engineer Roles and Required Experience for Amazon Data Scientist, Business Analyst, and Data Engineer Positions​ Types of Data Science Positions at Amazon​ ​Teams of Data Scientists perform a vital function at Amazon, working with Amazon's broad set of products across varying teams and levels across the organization. This includes the entire e-commerce branch of Amazon, as well as other specific product and business areas. Amazon's customer-centric business model means any data role will consistently focus on providing value for the customer. At the same time, the responsibility and focus of a data position can vary depending on the team and department you are hired for. The types of roles include: Business & Marketing The e-commerce branch of Amazon is the most well-known branch of the multinational technology company with millions upon millions of both sellers and buyers. There are 1.9 million active sellers on the Amazon Marketplace, with that number growing by more than a million new users every single year. As the world's largest marketplace, Amazon has data positions working on potential problems at every aspect of the business, from minimizing buyer risk to optimizing the supply chain. A role in Business & Marketing will: Analyze large amounts of data from different parts of the supply chain and their associated business functions Provide actionable measurement solutions and media recommendations that help advertisers understand how media drives customer action Optimize complex trade-offs between customer experience, inventory costs, fulfillment costs, fulfillment center capacity, and more Data Engineering With Amazon owning almost half of the world's public cloud infrastructure market, it's only natural that there is a strong need for data positions that focus on building, maintaining, and optimizing their data practices and processes, not to mention the data infrastructure needed for the other products under the Amazon umbrella. Working cross-functionally with a variety of other teams at Amazon, these data engineering teams play a vital role in working with the absolutely enormous amount of data produced by Amazon Web Services. A role in Data Engineering will: Design and deliver big data architectures for experimental and production consumption between scientists and software engineering Create automated alarming and dashboards to monitor data integrity Develop the end-to-end automation of data pipelines, making datasets readily consumable by visualization tools and notification systems Machine Learning That truly outrageous amount of data Amazon has access to gives it all sorts of opportunities to use data-driven insights and solutions to create value for customers from, for example, search results and video and product recommendations. Taking great strides in the realm of machine learning, these teams have an impact on millions of Amazon's users around the world. A data role in Machine Learning will: Design and implement scalable and reliable approaches to support or automate decision making throughout the business Analyze data for trends and input validity, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies Develop cutting edge ML solutions and apply them to data problems at scale Now that you know more about the roles and responsibilities of Amazon data science teams, here's a brief overview of how the interview process works. Outlining the Interview Process of Amazon Data Scientist Position​ Amazon has a fairly standard (if extensive) interview process for the data scientist position, from the initial phone call screening through the hiring manager interview, and finally the full day on-site interview. Online Application & Phone Screening After your online application and resume are submitted, there is an initial screening phone call with a recruiter. This is a short half-hour conversation where the recruiter goes over your resume and experiences, and then briefly explains the role, team, and team's relative position within the . company Technical Screening Next up for the Amazon data scientist position is the technical screen, which will go more in-depth about your data experiences and technical expertise. This will include questions about statistics, coding, algorithms, and product design, with the being done over a shared code editor. data science coding questions Full-Day On-site Interview After passing the technical screen, there is a full-day on-site interview. There will be around 5 interviews split throughout the day, with a lunch break in between. The interviews will have a mix of behavioral and technical questions. Note: the interviews will be virtual and the interview format may vary for the duration of the pandemic. Types of Questions Asked During a Data Science Interview at Amazon​ Behavioral Questions Interviews for the data scientist position at Amazon always include the typical questions about your background and experiences, commonly with many variations of "Tell me about a time where…" Where do you see yourself in 5 years? Describe a time when you had a difference of opinion with your colleagues. Tell me about a time when you had to work with incomplete data or information. We discuss how to approach behavioral questions in an interview here . Be sure to also check out Amazon's 14 Leadership Principles and be prepared to talk about them! Product Sense & Business Cases These questions help gauge your interest in Amazon as a company, as well as your knowledge of Amazon as a business. How would you measure the impact of a business initiative? How would you describe the value proposition of AWS to the CIO of a company? What would you change on the Amazon website? Data Analysis & Coding This portion of the interview tests your coding ability, covering technical details of the code with specific examples. Find the customer with the highest total order cost between a set of dates. Output their first name, the total cost of their items, and the date. ​ Given a table of purchases by date, calculate the month-over-month percentage change in revenue. ​ What is the difference between a linked list and an array? We recommend that you refer to these Amazon Data Scientist Interview Questions ​! Modeling Techniques These questions cover practical applications of your coding ability and how you approach data problems. Don't forget the natural follow-up to any modeling question: "How can you tell that your model is working?" How do you interpret the coefficient in Logistic Regression? If you have a customer and you know where they live, their income, their gender, and their profession, how would you define a machine learning algorithm that predicts whether they will “buy today” or “not buy today”? ​ ​ How does a neural network with one layer and one input and output compare to logistic regression? Quick Tips Amazon takes its very seriously. Take some time to look over (and memorize!) them, and be ready to talk about experiences that showcase how you exhibit those qualities. 14 Leadership Principles Do your research about the role and interview process. (You're here already so that's a good start!) Explain your thought process when doing coding questions. It’s important that your interviewer knows how you approach solving problems. Spend some time to take stock of your skillset and assess what you need to work on, whether it be an area of SQL syntax or your interview skills. Additional Resources Remember to explore Amazon's , and check out Amazon's own page on . Check out our forum of Amazon's Data Science interview questions . We also write blog posts that walk you through how to solve specific interview questions in our series. Be sure to research the most recent interviews and salary information for the role on . also has up-to-date information on salaries and benefits. Career FAQs Interviewing at Amazon here Data Science Interview Questions Glassdoor Levels.fyi Also published here .

Data Scientist Careers at Amazon: What You'll Earn, Learn, and Work On

Computer vision technology is the poster child of artificial intelligence. It is the sector of the industry that gets the most media attention because of the tools and benefits the technology can provide. From autonomous vehicles and drones to cancer detection and augmented reality, technologies that once only existed in science fiction are now at our doorstep. However, none of them would be possible without the companies that built them. This list will cover 5 computer vision companies to follow in 2020. While these companies operate in different industries, all of them build or help build the computer vision technology rapidly changing our world today. 1.Athena Security Location: Austin, Texas Industry: Security and Surveillance In 2019, there were a total of 417 mass shootings in the United States alone. While law enforcement does their best to protect their citizens, improving standards for surveillance and security could help create a safer society. provides an AI surveillance system that uses computer vision technology to detect guns, knives, and other weapons in real time. Once detected, the system can alert security or inform law enforcement of the threat immediately. Athena Security Athena Security already has around 1000 cameras actively guarding numerous schools, religious institutions, and businesses around the world. The company raised $5.5 million in seed funding in mid 2019 and hopes to help prevent gun-related crimes in the United States. 2. Lionbridge AI Sample of Lionbridge’s Image Annotation Platform Location: Waltham, Massachusetts (headquarters) with offices worldwide Industry: Computer Vision Training Data From autonomous vehicles to face recognition apps, computer vision tech wouldn’t be possible without high-quality training data. Lionbridge is the sole provider of AI training data for some of the world’s largest computer vision companies. With an internal team of data scientists, and a community of over 1 million contributors, Lionbridge provides various crowdsourced data annotation services. Lionbridge’s services are used to create computer vision training data at scale to build and train industry-leading AI models. They are also well known for providing for Fortune 500 companies. ad hoc on-site data collection services 2019 was a good year for the company, beginning with the acquisition of Gengo AI and ending with the announcement of a major contract with the Canadian government. Furthermore, they were named the 2nd largest language services provider (LSP)  in the world as well as one of Forbes Top 500 Large Employers of America. In early 2020, Lionbridge is set to release an all-in-one data annotation platform for images, audio, video, and text. 3. Vizseek (Imaginestics) Location: West Lafayette, Indiana Industry: Visual Search, 3D Printing The widespread use of the Internet and the advent of the Google search engine changed the way people search for information. Similarly, breakthroughs in natural language processing has led to greater voice recognition technology, which in turn has led to increased use of voice search. According to Quoracreative, 40% of adults now use voice search daily. However, with increased access to image data and the increase of computer vision companies entering the AI market, visual search could be the way of the future. Owned by Imaginestics, VizSeek is a visual search engine that could revolutionize the ecommerce, manufacturing, and engineering industries. VizSeek allows customers to search for products or parts in a database by simply taking a picture or even drawing a sketch. In December of 2019, the company received a through the United States Air Force. Imaginestics will use VizSeek in the creation of an Additive Manufacturing Advisory System for the Air Force. 1.5 million dollar grant 4. Oculus Location: Menlo Park, California Industry: Virtual Reality (VR) Gaming Oculus is the company behind the famous Oculus Rift, one of the first-ever VR gaming devices. However, when competition in the VR industry grew, devices like the HTC Vive, PlayStation VR, and Microsoft HoloLens took up large portions of the market. In March of 2014, Oculus was giving them more resources to compete against the likes of Microsoft, HTC, and Sony. acquired by Facebook 2020 is looking to be a very big year for Oculus. In December of 2019, the company announced the release of hand tracking capabilities for their VR headsets. Oculus VR headsets, such as the Quest or Rift S, can now use built-in cameras to track the player’s hands. Essentially, the player’s hands become the controller, eliminating the need for traditional controllers altogether. With more updates to come in 2020, superior hand tracking could thrust Oculus far ahead of the competition. 5. CureMetrix Location: La Jolla, California Industry: Medical Imaging One of the most promising and important use cases for computer vision technology is improving radiology. To become an expert in radiology takes years of study and practice. As a result, lesser-developed countries have poor access to proper medical care. For example, in Nigeria there are less than Furthermore, even in countries that have a sufficient amount of radiologists, false negatives still occur. Specifically, Mammogram screenings have an overall 20% error rate. This means that with traditional mammogram screenings, 60 radiologists for a total of 190 million people. 1 in 5 cases of breast cancer can go undetected. CureMetrix hopes to use computer vision for medical images to help solve these problems. The company utilizes computer vision technology to build their state-of-the-art Computer Aided Detection (CAD) software, cmTriage. CureMetrix is building this software to aid radiologists in mammogram evaluation, thus reducing healthcare costs and improving standards of care. In 2019, the company received FDA clearance for and has drawn more and more attention from both the press and clinicians around the world. cmTriage Interest and investment in artificial intelligence is on the rise. Therefore, we’ll likely see more and more innovation in the field of computer vision. Above were just five computer vision companies that show potential for large growth in 2020. To keep up with all the latest in computer vision technology and other machine learning news, please check out the related resources below: https://hackernoon.com/tagged/computer-vision https://hackernoon.com/tagged/ai https://hackernoon.com/tagged/machine-learning I am a former employee of Lionbridge AI. This article was originally posted on the Lionbridge AI blog. Disclaimer:

5 Companies Developing Computer Vision Technology in 2020

Nowadays Augmented Reality (AR) devices, such as smart glasses, are substantially influencing our daily lives in many aspects. These smart glasses are being considered to be one of the most innovative wearable devices. There are many uses for smart glasses ranging from daily activities to three types of business processes - managing, operating, and supporting. This eyewear technology overlays digital content onto a user’s field. It keeps hands free, helps the wearer avoids distractions, and even improves security. Throughout these years, we have seen successful use of smart glasses along with the growing demand of businesses to embrace this type of wearable device. Proving numerous benefits to businesses increases the popularity and the effectiveness of smart glasses. AR smart glasses, while being used by employees for working more effectively, show the features of a perfect device that helps to create corporate values for businesses. Day by day, AR smart glasses with remote assistance are a game-changer in many industries. Let’s take a more detailed look at the solutions that these smart glasses are offering. Collaboration AR smart glasses are being widely used as a tool to work collaboratively. The ability to bring to the same desk experts and technicians through the “see-what I see” principle highlights the benefits of this collaboration. The peculiarity that these smart glasses possess is the ability to perform certain tasks hands-free. This collaboration is done through integrated audio and video capabilities that provide the remote expert with a real-time connection with an on-site operator via live streaming. The most prestigious smart glasses producer companies like Realwear, Vuzix, or Epson enable their products with powerful cameras and zoom lenses which makes it possible to observe in detail the view of on-site operators while maintaining their safety at work as well. Remote assistance facilitated by smart glasses and their benefits for field service makes businesses embrace them as a key factor in their workflows. A collaboration session through VSight Remote enabled smart glasses Process Effectiveness A business operational process is about speed, productivity, accuracy, compliance, and quality control. This whole operational process often faces many challenges, leading the board to seek more efficient solutions. The use of smart glasses enables real-time access to various information and data, this makes it possible to maximize engagement and increase workforce efficiency. The hands-free feature also provides greater flexibility for workers while they are performing their tasks. Moreover, increasing the productivity of the workforce affects the minimization of risks and errors that can cause disruption of the entire operating process. Knowledge Sharing One of the many challenges that businesses of various fields are facing today is the shortage of a skilled workforce due to various factors. Technical positions are an important chain for the performance of any business. At the same time, these are also positions that require numerous investments mainly in the training of the workforce. Remote Assistance integrated on smart glasses helps businesses to have a skilled workforce and reduce the cost of expensive and inefficient training. In addition, Remote Assistance through smart glasses provides the right information to an unskilled on-site operator through step by step guidance. Through this guidance on-site operators are able to accomplish tasks such as assembling, repair, or maintenance procedures in a correct way. Training and Safety Another effective use case of smart glasses is the training of the current workforce or new employees. While training a large group of employees located all around the world, AR smart glasses eases the adoption process of new employees to the new work environment and tasks. Smart glasses receive voice commands, allow proper focus, and enable hands-free performance to ensure safety without risking anyone’s life. This is what makes smart glasses with remote assistance the safest way to collaborate in real-time with a distant expert. AR smart glasses integrated with remote assistance have brought a new and innovative era for increasing the efficiency of businesses through remote collaboration. This efficiency increase made it possible to guarantee the successful performance of businesses by making them stay competitive in the market. Smart glasses allow remote experts access to on-site visuals in real-time and provide communication with on-site operators through voice, text, and pictures. To sum up what we have discussed, smart glasses are maximizing businesses’ productivity while overcoming many challenges. When used effectively in the right setting, AR smart glasses have a number of important advantages over other devices that particularly consist of real-time information, increased workflow standardization, hands-free assistance, and documentation. This wearable device is driving major changes to the business world and this should be an incentive to begin deploying it within your company today.

2020 ON-SITE

2020onsite.com

11-50 employees

Since 2013

COMPANY RANKING

2020 ON-SITE

EVERGREEN INDEX #1358

Representing this company? Click here to claim and customize this page!

2020 On-site WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

2020 ON-SITE

2020onsite.com

11-50 employees

Since 2013

COMPANY RANKING

2020 ON-SITE

EVERGREEN INDEX #1358

RELATED COMPANIESRANK

STORIES ABOUT 2020 ON-SITE

Representing this company? Click here to claim and customize this page!

2020 On-site WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!