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Blockchain Supercharged with AI: The Next Revolution?

In this contributed article, InWara Business Analyst Gregory S. Mathew, discusses the convergence of blockchain and AI and how recent developments in big data has created a conducive environment for the amalgamation of these technologies.

Survey Reveals Significant Disparity in Consumer Sentiment Towards Artificial Intelligence

Blumberg Capital, a leading early-stage venture capital firm, released a new survey, “Artificial Intelligence in 2019: Getting past the adoption tipping point”, detailing consumer comfort level, knowledge of and sentiment towards artificial intelligence (AI). The findings demonstrate that we’re at a critical tipping point when it comes to consumer understanding and attitudes towards AI, as half of consumers feel optimistic while the other half feel fearful.

Field Report: KDD 2019

As a very long time member of the ACM and their SIGKDD group, I’d always wanted to attend a KDD conference (first one occurred in 1995). This year I received a gracious invitation to attend KDD2019 in Anchorage, Alaska, August 4-8. It satisfied two of my bucket list items: witnessing a KDD first-hand and also […]

TOP 10 insideBIGDATA Articles for July 2019

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.

Optimizing Fuel Pricing in a Convenience Retail Environment with AI and Machine Learning

In this special guest feature, Niels Skov, SVP, PDI Fuel Pricing Solutions, outlines how fuel pricing is a complex business for convenience retailers. Using advanced digital capabilities like AI and machine learning to get fuel pricing right can have a significant business impact far beyond an operator’s raw margins on gasoline or diesel.

The Future of AI Surveillance Around the World

In this contributed article, tech journalist Paul Bischoff discusses the increasing use of AI-driven surveillance around the world, and the dangers it creates. Realistically, the best way to protect yourself against intelligent surveillance systems is to stop them before they become a problem.

Data Centers Get a Performance Boost From FPGAs

With the advent of next generation workloads, such as Big Data and streaming analytics, Artificial Intelligence (AI), Internet of Things (IoT), genomics, and network security, CPUs are seeing different data types, mixtures of file sizes, and new algorithms with different processing requirements. Hewlett Packard Enterprise’s Bill Mannel explores how as big data continues to explode, data centers are benefitting from a relatively new type of offload accelerator: FPGAs.

The AI Opportunity

The tremendous growth in compute power and explosion of data is leading every industry to seek AI-based solutions. In this Tech.Decoded video, “The AI Opportunity – Episode 1: The Compute Power Difference,” Vice President of Intel Architecture and AI expert Wei Li shares his views on the opportunities and challenges in AI for software developers, how Intel is supporting their efforts, and where we’re heading next.

Infographic: The AI Economy

By 2030, 70% of companies worldwide will be using some form of AI tech. This infographic from our friends over at Noodle.ai outlines how AI will affect the global economy as it is integrated into more businesses. Sign up for the free insideBIGDATA newsletter.

Why You Need a Modern Infrastructure to Accelerate AI and ML Workloads

Recent years have seen a boom in the generation of data from a variety of sources: connected devices, IoT, analytics, healthcare, smartphones, and much more. This data management problem is particularly acute in the areas of Artificial Intelligence (AI) and Machine Learning (ML) workloads. This guest article from WekaIO highlights why focusing on optimizing infrastructure can spur machine learning workloads and AI success.