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The insideBIGDATA IMPACT 50 List for Q3 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!

Book Review: The Art of Statistics – How to Learn from Data by David Spiegelhalter

This recent title, “The Art of Statistics – How to Learn from Data,” by University of Cambridge statistician David Spiegalhalter, is an important book on a number of fronts. I particularly appreciated the topics covered in the book that touch on important parts of the Data Science Process: data visualization, linear regression, logarithmic scales, Pierson correlation coefficient, data distributions, logistic regression, ROC curves, classification trees, over-fitting, bootstrap, probability theory, probability distributions, Bayes theory, and much more. I think new data scientists should engage a gentle introduction of these topics before diving into mathematical theory and code.

Special Report: The State of AI and Machine Learning

Appen Limited, a leading provider of high-quality training data for organizations that build effective AI systems at scale, released its annual State of AI Report for 2020. The report highlights increasing C-suite involvement and investment in enterprise AI projects as well as data being a key challenge as AI models get more frequent updates in production. The report also reveals the recent acceleration of AI strategies in the wake of the COVID-19 pandemic.

Not Just Another Trend: The Postmodern Cloud Computing Imperative

In this contributed article, editorial consultant Jelani Harper discusses a variety of interrelated topics: cloud computing, data orchestration, data integration, and data governance. The cloud’s worth to the modern enterprise is remarkably simple, yet undeniable: it enables them to do more with less. It empowers them to scale better, store data cheaper, and access IT resources much faster than they could if everything were on premise.

How AI Motivates A Remote Workforce

In this contributed article, Dr. Tommy Weir, CEO and founder of enaible, discusses how to use AI to ensure that workers are focused “deep work” — the work that fulfills the most important business objectives — rather than process work. AI can also help companies reveal who the most valuable knowledge workers are – those that are making a big difference in fulfilling company objectives and driving profits.

Model Risk Management in the Age of AI

In this contributed article, Stu Bailey, Co-Founder and Chief AI Architect of ModelOp, discusses how financial services companies can easily validate multiple AI/ML models and reduce ML project costs by 30% through automation. ModelOps refers to the process of enabling data scientists, data engineers, and IT operations teams to collaborate and scale models across an organization. This drives business value by getting models into production faster and with greater visibility, accountability and control.

insideBIGDATA Latest News – 6/29/2020

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.

Transform Raw Data to Real Time Actionable Intelligence Using High Performance Computing at the Edge

In this special guest feature, Tim Miller from One Stop Systems discusses the importance of transforming raw data to real time actionable intelligence using HPC at the edge. The imperative now is to move processing closer to where the data is being sourced, and apply high performance computing edge technologies so real time insights can drive business actions.

Healthcare Hit by Data Tsunami

In this contributed article, David Leichner is CMO at SQream, discusses how healthcare organizations are waging battles against cancer, diabetes and heart disease while also struggling to beat the COVID-19 pandemic. Despite the fact all of these illnesses have different symptoms and causes they all have something in common. Big Data is being fed into models that can find potential treatment and cures.

Intel Announces AI and Analytics Platform with New Processor, Memory, Storage and FPGA Solutions

Intel today introduced its 3rd Gen Intel Xeon Scalable processors and additions to its hardware and software AI portfolio, enabling customers to accelerate the development and use of AI and analytics workloads running in data center, network and intelligent-edge environments. As the industry’s first mainstream server processor with built-in bfloat16 support, Intel’s new 3rd Gen Xeon Scalable processors makes artificial intelligence (AI) inference and training more widely deployable on general-purpose CPUs for applications that include image classification, recommendation engines, speech recognition and language modeling.