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Can Microservices Revolutionize Data Management in the Enterprise?

In this contributed article, Mike Duensing, Chief Technology Officer and Executive Vice President of Engineering at Skuid, explains why why enterprises may want to move to a microservice architecture to ensure they are effectively managing data employing features of AI and machine learning.

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 […]

The Most Common Missed Opportunities With Big Data

In this contributed article, technology writer and blogger Kayla Matthews offers insights into some of the most common missed opportunities with big data technologies.

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.

Help! My Data Scientists Can’t Write (Production) Code!

In this contributed article, Nisha Talagala, Co-founder and CTO/VP of Engineering at ParallelM, takes a hard look at productionizing machine learning code and how integrating SDLC practices with MLOps (production ML) practices certifies that all code, ML or not, is managed, tracked and executed safely.