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The Massive Risk of Lock-In: How Wall Street Future-Proofs their Move to the Public Cloud

In this contributed article, Matthew Baird, Co-Founder and Chief Technology Officer of AtScale, highlights how few statements strike fear in an IT leader’s heart like “lock-in” because in most cases you’re not aware you’re locked in until you encounter a problem big enough that you are forced to reconsider your original decision. It’s at that point one of your architects drops the bomb: Changing that code/system/vendor is going to be a year-long multi-million-dollar project.

Data without Borders: How Synthesis Enables Ethical Sharing

In this special guest feature, Mike Capps, CEO of Diveplane, discusses why organizations should consider synthesizing their data, what that process entails, what the benefits and use cases of synthesized data are and why he believes synthesized data is the key to not only a successful data/AI project, but also to a successful data-driven future.

TOP 10 insideBIGDATA Articles for August 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.

Interview: Terry Deem and David Liu at Intel

I recently caught up with Terry Deem, Product Marketing Manager for Data Science, Machine Learning and Intel® Distribution for Python, and David Liu, Software Technical Consultant Engineer for the Intel® Distribution for Python*, both from Intel, to discuss the Intel® Distribution for Python (IDP): targeted classes of developers, use with commonly used Python packages for data science, benchmark comparisons, the solution’s use in scientific computing, and a look to the future with respect to IPD.

Using Artificial Intelligence to Track Birds’ Dark-of-Night Migrations

On many evenings during spring and fall migration, tens of millions of birds take flight at sunset and pass over our heads, unseen in the night sky. Though these flights have been recorded for decades by the National Weather Services’ network of constantly scanning weather radars, until recently these data have been mostly out of reach for bird researchers.

Composable Multi-Threaded Parallelism in Julia

JuliaCon 2019, held July 22-26, 2019 at the University of Maryland in Baltimore, was the biggest and best JuliaCon to date. The JuliaCon session below, “Composable Multi-Threaded Parallelism in Julia,” was presented by Jeff Bezanson and Jameson Nash (Julia Computing). The talk discusses the release of a preview of an entirely new threading interface for Julia programs: general task parallelism.

Growth in Machine Learning: Accessibility of MLaaS and the Future of the Industry

In this special guest feature, Mateusz Czajka, Head of Technology and Product Design at Netguru, discusses how Machine Learning as a Service, or MLaaS, is completely breaking down barriers and has the potential to completely change the way we do business and make decisions –and it’s here now!

Big Data Platforms and AI Tools for Your Small Business

In this contributed article, Sheza Gary, a technical director at Algoworks, discusses how small businesses can start to seamlessly incorporate AI and big data to help reduce business overheads and increase profitability. Implementing big data and AI platforms doesn’t need to involve hiring teams of data scientists or analysts. At this point in 2019, small businesses have a wealth of out-of-the-box solutions available to them, covering a variety of use cases.

AI for Sales: Friend, Not Foe

In this contributed article, Haggai Levi, co-founder and CEO of SetSail, believes that for sales teams navigating in today’s era of ongoing technological disruption and digital transformation, to be truly successful requires a combination of machine and human intelligence.

How Big Data Is Changing the Job Market

In this contributed article, Magnolia Potter explains how big data has had a significant impact on the way candidates look for jobs, as well as on how employers make hiring decisions. Also provided are some of the ways in which big data has changed the job market.