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Unified Analytics for Dummies: Accelerate AI Innovation

In this Databricks e-book, you not only discover how to avoid and overcome the most common challenges impacting AI success, but a new concept is also introduced. Download the new e-book that explores Unified Analytics, a concept that brings together solutions that unify data science and data engineering, making AI much more achievable for enterprise organizations and enabling them to accelerate their AI initiatives.

Finding a solution for AI in Healthcare

Dell EMC Ready Solutions for AI are integrated systems with validated hardware and software stacks optimized to accelerate AI initiatives, shortening the time to architect a new solution by six to twelve months. A new insideBIGDATA special report series explores the intersection of AI and medicine, and this entry provides a series of solutions for AI in healthcare, including Dell EMC Ready Solutions for AI.

AI in Medicine: Developments in Radiology, Genomics & Diagnostics

Next-generation radiology tools may remove the need for tissue sampling and greatly expand the area of delivery. And the translational Genomics Research Institute’s (TGen) Center for Rare Childhood Disorders is using machine learning for genetic sequencing. Part of an insideBIGDATA special report series on AI and healthcare, this entry highlights some of the latest developments in AI in medicine, including progress in radiology, genomics and diagnostics.

Impressive Healthcare AI results for Vision Research & Cancer Treatment

This post explores the latest research and AI innovation in vision research and cancer treatment. Learn more about CSIRO’s bionic vision research, powered by the Dell EMC PowerEdge servers. And find out how Gustave Roussy, a leading European center for cancer treatment, sought to increase the processing capabilities of its bioinformatics platform to support more genome analyses per day while enhancing research programs, via a new insideBIGDATA special report.

Book Review: How Smart Machines Think by Sean Gerrish

“How Smart Machines Think” by Sean Gerrish is a new MIT Press book that I would recommend to two classes of people: enterprise decision makers who are charged with evaluating AI, machine learning and deep learning technologies for their companies, and on the flip side, people who are looking to transition into the field of data science but know little about it. This is a great book for people in a hurry, something to pop into your carry-on bag the next time you’re on a cross country flight.

Exploring the Application of AI Within Healthcare

AI is already having a profound impact on patient care. Machine learning and deep learning build the fundamentals to an AI system, and by taking a holistic approach to the data being generated within healthcare, AI-enabled systems can help to assess risk and facilitate improved human decision making. This insideBIGDATA special report article delves into the application of AI within healthcare, as well as the impact and challenges of these new tools. 

How AI Drives Customer Experience

In this contributed article, blogger and CMO Donna Moores outlines several ways in which AI drives customer experience. Customer experience can now obtain a whole new level of sophistication, where users receive what they desire at a glance, without the need to experience stressful searches, conversations, or make complaints that seem to never be understood, while businesses, on the other hand, can finally make use of the endless quantity of customer information available.

insideBIGDATA Special Report: Healthcare and HPC — Bridging the Gap Through Artificial Intelligence

Will the rise of artificial intelligence (AI) displace the need for traditional physicians and clinicians? It’s a potent question—and one that often sits on the periphery whenever there are discussions around the application of AI within healthcare, and healthcare and HPC. This new insideBIGDATA special report, brought to you by Dell EMC and NVIDIA, is essential reading for anyone looking to explore or expand on the use of AI within the medical industry.

DarwinAI Announces Explainability Platform for Neural Network Performance

DarwinAI, a Waterloo, Canada startup creating next-generation technologies for Artificial Intelligence development, today announced the next milestone in its product roadmap with the release of its explainability toolkit for network performance diagnostics. The introduction of explainability comes two months after the company announced its emergence from stealth, its Generative Synthesis platform, and $3 million in seed funding.

MapR Announces Clarity Program for Cloudera and Hortonworks Customers with New Platform Update and Free Data Assessment Service

MapR® Technologies, Inc., provider of the data platform for AI and Analytics, announced the Clarity Program, a new product release and a free assessment service that provides a comprehensive understanding of a customer’s current data environment and the best practices to achieve a clear path to support AI, cloud, containers and IoT deployments.