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Data Pruning Technology for Data Retention

Aparavi helps organizations master out of control unstructured data growth. The company’s new whitepaper, titled “Multi-Cloud Active Archive,” explains the benefits of a storage model that includes data pruning technology to reduce secondary data growth by 75%.

Five Ways You’re Already Using Machine Learning: A Day with AI

In this special guest feature, Mark Scott, CMO at Apixio, highlights the prevalence of machine learning in everyday life and offers five ways you’re (probably) already using machine learning all without you realizing or thinking about it.

New Research Uncovers $500 Million Enterprise Value Opportunity with Data Literacy

According to a major academic study commissioned by Qlik®, on behalf of the newly launched Data Literacy Project, large enterprises that have higher corporate data literacy experience $320-$534 million in higher enterprise value (the total market value of the business). Corporate data literacy is the ability of a company workforce to read, analyze, utilize for decisions and communicate data throughout the organization.

Dataiku Launches the Enterprise AI Lab to Solve Tough Business Challenges using AI

Dataiku, the centralized data platform that powers self-service analytics and machine learning operationalization in businesses worldwide, has launched the Enterprise AI Lab, a new service that pushes the boundaries of innovation to promote the wider proliferation and more creative use of AI in the enterprise.

Databricks and RStudio Introduce New Version of MLflow with R Integration

Databricks, a leader in unified analytics and founded by the original creators of Apache Spark™, and RStudio, today announced a new release of MLflow, an open source multi-cloud framework for the machine learning lifecycle, now with R integration. RStudio has partnered with Databricks to develop an R API for MLflow v0.7.0.

MarkLogic Unveils MarkLogic® Data Hub Service to Quickly Turn Enterprise Data Into Business Value

MarkLogic Corporation, a leading operational and transactional Enterprise NoSQL database provider, announced the launch of MarkLogic Data Hub Service, which provides the fastest and most cost-effective way for enterprises to integrate, store, harmonize, analyze and secure mission-critical data in the cloud. MarkLogic Data Hub Service amplifies the power of MarkLogic’s industry-leading Data Hub technology by lowering the cost and operational burden of integrating large swaths of business and user data.

The Big Data of Selling a Home

In this contributed article, freelance human Avery Phillips takes up the topic of using data analytics for real estate – selling a home. Using machine learning to crunch numbers and observe data, such as how homes are selling in an area, can greatly affect the buying and selling process. From setting prices to marketing, and even determining if you will be able to get a good mortgage, big data can streamline major parts of the selling process.

AI in Business: The Business Capabilities It Can Deliver

In this contributed article, Natasha Manuel, Content Manager at SpringPeople, examines the business capabilities that AI can deliver today, namely cognitive insights, cognitive engagement, and robotic process automation.

A How-To Guide for Digital Transformation Laggards (Yes, You)

In this special guest feature, Vimal Vel, Vice President and Global Head of Master Data Solutions at Dun & Bradstreet, offers six key steps that will jumpstart your digital transformation process, starting with a key individual and ending with full self-assessment. If you don’t start somewhere, you’re destined to leave behind a company full of broken connections, siloed systems and missed opportunities. It’s time to choose structured success and true digital transformation instead.

Oracle and NVIDIA Bring the Power of the Cloud to the Next Generation of Analytics, Machine Learning and AI

Oracle (NYSE:ORCL) and NVIDIA (NASDAQ: NVDA) today announced that Oracle is the first public cloud provider to support the NVIDIA HGX-2TM platform on Oracle Cloud Infrastructure, to meet the needs of the next generation of analytics, machine learning and AI.