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

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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  

Big Data might not get as much press as it used to, but a new study by AtScale suggests that it’s rapidly maturing as analytics software and services explode in the cloud. AtScale, a specialist in business intelligence on Hadoop, last week published its “Big Data Maturity Survey” of 2,550 big data professionals at 1,400 …

Sourced through Scoop.it from: siliconangle.com

Expect to see continued adoption of cloud for all things data.  The next wave will be algorithms in the cloud allowing API access on demand fueled by accessible cloud data. 

Data-driven methods are becoming more and more important in Humanities. Fundamental. Digital tools have been producing a huge increase in the amount of data, in forms that only computers can process. A point has been reached where manual analyses of the data by individual researchers or even groups of researchers are impractical. This is due […]

Enterprise data sources and applications (ERP, CRM, CMS, DMS, machine and user generated logs, pixel tag data). e-Commerce and institutional web sites. Social and Online media (newspapers, blogs, forums), emails, CRMcommunications. Third-party data providers, open and linked data sources. Subscription content providers.

Acquire, integrate, align, harmonize, analyze, search and explore Big Data by a schema-agnostic approach based on Contextual Workflows. Connect to heterogeneous information sources, both Web and Enterprise, and unify structured and unstructured data spread into your digital ecosystem.