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The insideBIGDATA IMPACT 50 List for Q1 2020

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

Infographic: The People and Tech Behind Data Science

Our friends over at produced the infographic below that outlines what data scientists do and the tech they rely upon to get results. Data science: math, data, AI & the scientific method. Data scientists use heterogeneous data to solve complex problems.

The Next Frontier: Making AI Smarter with Edge Computing and HCI

In this special guest feature, Phil White, CTO at Scale Computing, discusses how HCI and edge computing will greatly benefit the advancement of AI and details how the ability to locally store and process data will allow AI to run more efficiency and reduce latency.

Nearly 7 in 10 SMBs Interested in AI are Unaware of Security Risks

From inventory management, data analytics, office assistance and more, AI can take on a massive role, even within the smallest businesses. Email leader Zix-AppRiver’s Q4 2019 CyberThreat Index for Business Survey revealed that education around AI is necessary prior to widespread implementation amongt small-to-medium sized businesses.

Can You Trust Your Data? Three Factors for Enhanced Data Reliability and Decision-making in the Era of Digital Transformation

In this contributed article, Sudhi Sinha, Vice President and GM of Digital Solutions at Johnson Controls, discusses how we have more data at our fingertips than ever. But while this boom in information is absolutely an example of positive progress, it makes data security and reliability more crucial than ever. With so much depending on this data, how can you ensure it’s trustworthy? How can you guarantee that the decisions you are making are based on dependable and secure information?

Understanding Intention: Using Content, Context, and the Crowd to Build Better Search Applications

This white paper by enterprise search specialists Lucidworks, points out that unlike consumer search, which has become a seamless part of our everyday lives, the enterprise side might as well still be running Windows 95. Imagine if Amazon, Google, or Facebook treated every user the same, regardless of who they are, where they are, what they’re searching for, and what they’ve clicked. Your users expect that same sophistication in their enterprise apps.

Preventing Big Data Project Failure

In this special guest feature, Anexinet Director of Advanced Analytics, Brian Atkiss, discusses how Big Data projects can fail for many reasons, including the project’s inability to integrate with existing business processes, data security and/or governance challenges. Often a Big Data project will fail because an organization is looking to solve too many problems by using a broad Big-Data solution rather than identifying a few core-business cases that will ultimately provide the most value for the business.

“Above the Trend Line” – Your Industry Rumor Central for 1/7/2020

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

TOP 10 insideBIGDATA Articles for December 2019

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

Building a Modern Data Pipeline Means Making Big Decisions

In this special guest feature, John Hammink, Developer Advocate at, discusses how there are numerous ways to go about designing and maintaining a viable data pipeline, and there is no silver-bullet solution for every organization. Those that choose a managed service route to address these challenges may realize the most future-proof and direct path to a solution, while those that keep things on-prem can — with the right competencies and resources — architect the most custom path forward. But whichever path you choose, it’s important to make decisions quickly and strategically.