Here's a roundup of annual predictions from around the Big Data industry. Key themes this year include artificial intelligence/machine learning, cloud adoption, demand for data scientists and the growing importance of the Internet of Things.

Sourced through Scoop.it from: www.zdnet.com

In this special guest feature, Daniel Gutierrez from insideBIGDATA offers up his 2017 roundup industry predictions from Big Data thought leaders. "AI, ML, and NLP innovations have really exploded this past year but despite a lot of hype, most of the tangible applications are still based on specialized AI and not general AI. We will continue to see new use-cases of such specialized AI across verticals and key business processes. These use-cases would primarily be focused on the evolutionary process improvement side of the digital transformation."

Sourced through Scoop.it from: insidehpc.com

A common theme of data fueling intelligent insights across a variety of domains and solutions.  App vendors realize AI enablement is critical to competitive advantage moving forward into 2017.

by Sean Lopp At RStudio, we work with many companies interested in scaling R. They typically want to know: How can R scale for big data or big computation? How

Sourced through Scoop.it from: www.r-bloggers.com

Depending on the dataset and type of analysis R can be run in a host of environments from your workstation --> Deep Insight Engine.

For the past five years, Amazon has held a big conference for customers of its Amazon Web Services (AWS) cloud division in Las Vegas. Software industry people and existing customers have always paid attention. But this year AWS has become such a financial juggernaut for Amazon that it has become a bigger deal in the wider world of business. And that means this is a really big week for AWS, perhaps the biggest ever.

Sourced through Scoop.it from: venturebeat.com

#AI services are going to be big - real big.  #LEX opens up #Alexa to the masses.  Sold out show, the big get bigger. 

Trulia transformed its data stack to accommodate real-time high-volume data collection, and to provide customers with recommendations. Now, to gain greater reliability and elasticity, the organization plans to migrate its data operations to AWS.

Sourced through Scoop.it from: www.informationweek.com

The richer integration of data and intelligence continues as companies look for a competitive advantage with Big Data. Also, continued migrations to #AWS