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How AI Is Transforming Business Strategy as We Know It

In this contributed article, freelance human Avery Phillips believes that while AI already provides value to different industries and aspects of business, it’s set to disrupt the future of business and industry practices even more. In the coming years, cognitive computing and AI will surely transform the face of business as we know it.

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.

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.

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.

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.

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.

What Happened to Hadoop? And Where Do We Go from Here?

Apache Hadoop emerged on the IT scene in 2006 with the promise to provide organizations with the capability to store an unprecedented volume of data using cheap, commodity hardware. Hadoop facilitated data lakes were accompanied by a number of independent open source compute engines – and on top of that, “open source” meant free! What could go wrong?