Why big data needs a unified theory of everything

As I learned from my work in flight dynamics, to keep an airplane flying safely, you have to predict the likelihood of equipment failure. And today we do that by combining various data sets with real-world knowledge, such as the laws of physics.

Integrating these two sets of information — data and human knowledge — automatically is a relatively new idea and practice. It involves combining human knowledge with a multitude of data sets via data analytics and artificial intelligence to potentially answer critical questions (such as how to cure a specific type of cancer). As a systems scientist who has worked in areas such as robotics and distributed autonomous systems, I see how this integration has changed many industries. And I believe there is a lot more we can do.

Cloud Computing Becomes A Home For Data Analytics

Analytics — with its massive quantities of data requiring plenty of processing juice and storage space — is a natural fit for the cloud. Organizations are still dipping their toes into the possibilities, but this is about to accelerate dramatically.

That’s the takeaway from a recent survey conducted by IDG and published by Informatica INFA +% About 15% of the 200 IT and business decision makers in the survey say they have deployed one or more cloud analytics solutions. This may be growing over the months and years to come, with 68% of respondents saying they intend to investigate, analyze or actively plan to deploy cloud analytics solutions over the coming year. In addition, 74% said they expect to adopt a hybrid or cloud-only approach to analytics over the next three years.

World Data Analytics Outsourcing Market is Expected to Reach $5.9 Billion, by 2020

According to a new report published by Allied Market Research titled, "World Data Analytics Outsourcing - Market Opportunities and Forecasts, 2014-2020", the world data analytics outsourcing market is expected to reach $5.9 billion by 2020, registering a CAGR of 29.1% during 2015-2020. Over the years, there has been an exponential increase in the data generated by enterprises. This data is now being outsourced to data analytics service providers enabling the enterprises to make effective insights-driven business decisions, offer enhanced services to customers, and avoid risks and losses. Most of the enterprises do not have in-house analytics capabilities or skilled workforce, thereby accelerating the growth of data analytics outsourcing market.