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The insideBIGDATA IMPACT 50 List for Q3 2019

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!

TOP 10 insideBIGDATA Articles for June 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. 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.  We’re happy to oblige! We […]

Who Tracks You While You Travel and What Happens With That Data?

In this contributed article, Magnolia Potter ponders the questions: who is tracking you when you take a vacation or go on a business trip? How is your data used, and what can you do to regain some control over how you’re tracked and what information is being collected? Being aware of how your data is collected can help you be more conscious of your behaviors while traveling.

How Would You Explain AI to a Second Grader?

Artificial Intelligence (AI) is a hot topic and articles written on the subject are often tailored to a tech audience. But what about people who are not technically proficient? How would you explain AI to them? Cupid Chan is CTO of Index Analytics and a Fellow at the University of Maryland. Recently, Cupid gave a presentation to the group called “How do I teach my second grader about AI?”

Book Review: AI Blueprints by Dr. Joshua Eckroth

Having just finished teaching a couple of introductory data science classes this past academic quarter, I came to the realization that it’s hard for newbie data scientists to get started on a project of reasonable complexity. Many students got frustrated in establishing a framework (or “blueprint”) with which to start building their machine learning applications for their class project. A new title from Packt Publishing, “AI Blueprints,” by Dr. Joshua Eckroth, helps solve this problem by laying out six real-life business scenarios for how AI can solve critical challenges with state-of-the-art AI software libraries and a well thought out workflow.

Leveraging Data, Blockchain and AI to Help Agriculture Meet Growing Global Demand

Given the scale of the world’s food supply, there aren’t many industries that lend themselves to the power of data science and analytics than agriculture. This is the thinking behind a new research paper from a group of data scientists who make a case for finding new ways to use blockchain, AI and API management to enable “smart agriculture.” The paper, “Agricultural Digital Transformation,” has been published in the OR/MS Today journal from the Institute for Operations Research and the Management Sciences (INFORMS).

“Above the Trend Line” – Your Industry Rumor Central for 7/1/2019

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.

Human Guided Machine Learning is the Golden Path to Golden Records

In this special guest feature, Matt Holzapfel, Solutions Lead at Tamr, addresses how a bottom-up approach recognizes connections in the vast pools of data to identify not only the most reliable data for each entity in the ecosystem, but the means by which that data can reliably be updated — a far faster path to data mastering, and a better way to make sure that data stays golden.

How to Stop BI Team Members from Dropping Like Flies

Data is the backbone of every company. So keeping BI teams happy is a top priority… Right? In reality, BI teams’ needs are largely ignored by companies, with a 21% turnover rate and 36% of employees reporting dissatisfaction with their work environment. What’s the next step – what can be done to address the dire straits currently facing BI teams and what companies must do to staunch the analyst exodus and keep their key teams thriving?

Best of arXiv.org for AI, Machine Learning, and Deep Learning – May 2019

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.