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No-code in Big Tech: Why Key Players Embraced it in 2020, and How they Can Leverage it in 2021

In this special guest feature, Tal Daskal, CEO and Co-founder of EasySend, discusses the ways that key big tech players embraced no-code in 2020, and how they’ll be able to leverage this disruptive tech trend in 2021 and beyond.

Removing Roadblocks: A Closer Look at the Three Biggest Barriers to Relevant, Personalized AI-Powered Search

In this contributed article Julien Lemoine, Co-Founder and CTO of Algolia, highlights that when it comes to applying AI to search, many organizations find the task challenging (one reason: there is no one, standard way to implement AI, no single AI standard).

TOP 10 insideBIGDATA Articles for April 2021

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.

AI is Not a Magic Bullet for Renewables

In this special guest feature, Blair Heavey, Chief Executive Officer of WindESCo, suggests that we hear so much about how AI is the next big thing in the energy industry, but in reality, it’s really over-hyped, and is nowhere near the magic bullet that some thought it might be. Many rewewable energy companies are not meeting the expectations with AI, and there’s a lot of confusion on what it really is and what it can do.

“Above the Trend Line” – Your Industry Rumor Central for 4/30/2021

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.

Using Artificial Intelligence Tools to Run Proactive “Health Check” Investigations

In this contributed article David Carns, Chief Revenue Officer of Casepoint, discusses how businesses can use AI to run “health check” investigations preemptively. If your organization is already using an eDiscovery platform with built-in AI tools, it might make sense to explore how you can use those tools for broader data management, information governance, and risk mitigation purposes.

insideBIGDATA Latest News – 4/27/2021

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

KDD 2021 Data Science Conference Will Convene Aug. 14 – 18, 2021

The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) announced KDD 2021, the group’s flagship conference, will take place virtually Aug. 14-18. The premier interdisciplinary data science conference, KDD 2021 will bring together researchers and practitioners from data science, machine learning, big data and artificial intelligence to fuel the innovation of tomorrow.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – March 2021

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.

What Is the Future of AI? 3 Factors That Will Propel AI’s Data Evolution

In this special guest feature, Vatsal Ghiya, CEO and co-founder of Shaip, explores the three factors that he believes will allow data-driven AI to reach its full potential in the future: the talent and resources necessary to construct innovative algorithms, an immense amount of data to accurately train those algorithms, and ample processing power to effectively mine that data.