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Tag: Deep Learning

AI Gets the Glory but ML is Quietly Making Fortunes
In this contributed article, technologist Bernard Brode looks at the differences between AI and ML, look at why AI gets all the attention, and why we shouldn’t overlook the everyday revolution that ML is already creating.
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 …
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 …
“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 …
The Future of Data Science – Mining GTC 2021 for Trends
Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list. I enjoyed mining this year’s talks for trends that foreshadow where our industry is headed. Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel …
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 …
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 …
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 …
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 …
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, …
“Above the Trend Line” – Your Industry Rumor Central for 4/16/2021
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 …
The insideBIGDATA IMPACT 50 List for Q2 2021
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 …
Three Steps to Data Protection – And How They Differ for Structured vs Unstructured Data
In this special guest feature, Scott Lucas, Head of Marketing at Concentric, suggests that compliance is a complex topic, and in this article he addresses the surface of what you’ll need for your particular data and regulatory environment. Having a clear understanding of how to discover, assess and protect structured …
Cambridge Quantum Computing Pioneers Quantum Machine Learning Methods for Reasoning
Scientists at Cambridge Quantum Computing (CQC) have developed methods and demonstrated that quantum machines can learn to infer hidden information from very general probabilistic reasoning models. These methods could improve a broad range of applications, where reasoning in complex systems and quantifying uncertainty are crucial. Examples include medical diagnosis, fault-detection …
The ModelOps Movement: Streamlining Model Governance, Workflow Analytics, and Explainability
In this contributed article, editorial consultant Jelani Harper discusses how the ModelOps movement either directly or indirectly addresses each of the following three potential barriers to cognitive computing success: model governance, explainability, and workflow analytics.
insideBIGDATA Latest News – 4/8/2021
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 …