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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.

Interview: Vinod Bakthavachalam, Data Scientist at Coursera

I recently caught up with Vinod Bakthavachalam, Data Scientist at Coursera, to discuss how to build in-demand skills in data science such as machine learning, statistics, and data management across your organization to drive competitive advantage. Coursera for Business provides companies with the world’s best learning experience and best content to transform their talent.

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.

How an AI-Driven Approach can ‘Free Creativity’

This insideHPC guide series explores how artificial intelligence is revolutionizing and evolving the media and entertainment industries. This post explores how an AI-driven approach can help “free creativity” in these sectors, and offers options for tech communities to assist you on your AI journey. 

Riding the Waves of Data Modernization

In this contributed article, Jeff Healey, Senior Director for Vertica at Micro Focus, discusses how there’s still time for leaders from traditional industries to modernize their aged data warehouses in becoming more data-driven. However, they face a serious threat of extinction from data-hungry disruptors born in the 21st century that base their decision-making on cloud-optimized analytical platforms with machine learning capabilities at scale.

How Does AI Training Work?

In this special guest feature, Charly Walther, VP of Product and Growth at Gengo.ai, discusses a topic of critical importance to machine learning and AI: training. He goes through the three stages: training, validation, and testing and also points out the importance of data quality.

Beyond the Delta: Compression is a Must for Big Data

In an era of big data, high-speed, reliable, cheap and scalable databases are no luxury. Our friends over at SQream Technologies invest a lot of time and effort into providing their customers with the best performance-at-scale. Dr. Benjamin C. van Zuiden of SQream wrote a special report, “Beyond the Delta: Compression is a Must for Big Data,” that focuses on compression algorithms that make big data-at-scale possible.

An Introduction to Deep Learning and Neural Networks

In this contributed article, Agile SEO technical writer and editor Limor Wainstein outlines how deep learning, neural networks, and machine learning are not interchangeable terms. This article helps to clarify the definitions for you with an introduction to deep learning and neural networks.

CrowdANALYTIX Launches dataX Moderator App to Flag Objectionable Halloween Costumes

CrowdANALYTIX, creator of dataX.ai, an AI-driven platform that auto-creates context-aware product attributes and meta tags for retailers and brands, announced the launch of its new application, dataX Moderator. With the Halloween celebration just a few weeks away, this powerful new app helps retailers maintain stricter checks and balances on their clothing lines, to avoid unintended offensiveness and inappropriateness.