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insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning – Part 5

With AI and DL, storage is cornerstone to handling the deluge of data constantly generated in today’s hyperconnected world. It is a vehicle that captures and shares data to create business value. In this technology guide, insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning, we’ll see how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.

Leveraging the Cloud to Better Mine Data in the Extreme Data Economy

In this special guest feature, Nima Negahban, CTO and Co-founder of Kinetica, observes that the demand for cloud solutions for data analytics is skyrocketing, and advanced analytics software now exists that supports both private and public cloud. No longer is it about businesses making decisions informed by data; in today’s Extreme Data Economy, data is the business.

insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning – Part 4

With AI and DL, storage is cornerstone to handling the deluge of data constantly generated in today’s hyperconnected world. It is a vehicle that captures and shares data to create business value. In this technology guide, insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning, we’ll see how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.

Wading Through the Hype and Figuring Out How to Bring AI into your Business

In this special guest feature, Rick Nucci, CEO at Guru, provides a perspective targeted at people broadly in tech who know they need to start thinking about AI, given it’s invariably affecting their industry, but don’t know where to start. He provides expert advice on how they should go about wading through the hype and choosing an AI vendor.

New C3 Platform Delivers Enhanced Rapid Enterprise-scale AI Deployment

C3 announced the general availability of Version 7.8 of the C3 Platform. C3 V7.8 delivers many improvements for developers, data scientists, and end users, a new and comprehensive C3 Integrated Development Studio, (C3 IDS), enhanced security, 10x – 100x improved performance and scalability, new model management capabilities, enhanced machine learning pipelines, local Docker development environments, and many new features across the suite of SaaS C3 Applications.

Ople’s Unlocks the Black Box of Artificial Intelligence with Transparent AI

The venture-funded, Silicon Valley company Ople is rolling out a feature-rich update that makes it possible for companies to gain the critical buy-in and deploy AI models with unprecedented transparency into how the models actually work.

insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning – Part 3

With AI and DL, storage is cornerstone to handling the deluge of data constantly generated in today’s hyperconnected world. It is a vehicle that captures and shares data to create business value. In this technology guide, insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning, we’ll see how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.

Infographic: The Cognitive Business Disruption

In the infographic below created by our friends over at the Ohio University Online Master of Business Administration program, we explain how the promise of the technology should be navigated: the principles of cognitive computing, factors affecting cognitive computing’s adoption, and how to integrate cognitive computing in business.

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.

insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning – Part 2

With AI and DL, storage is cornerstone to handling the deluge of data constantly generated in today’s hyperconnected world. It is a vehicle that captures and shares data to create business value. In this technology guide, insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning, we’ll see how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.