Blogs

How consistent data governance helps eliminate "Garbage In, Garbage Out"

How consistent data governance helps eliminate "Garbage In, Garbage Out"

Avoid GIGO with consistent data governance

August 27, 2018 | by Karen Madera, Content Marketing Manager, Unified Governance and Integration, IBM
Are your efforts to leverage big data hampered by poor or outdated data management? 
How advanced analytics pulls insights from the weather, part 2

How advanced analytics pulls insights from the weather, part 2

August 21, 2018 | by Krish Krishnan, President, Sixth Sense Advisors Inc.
The forces of nature can be unpredictable. Businesses & organizations can pull substantial value our of weather data through advanced analytics, machine learning & AI.
What’s your game plan for AI? 

What’s your game plan for AI? 

Learn what sets the winners apart in an upcoming webcast and live event in NYC

August 21, 2018 | by Jennifer Clemente, IBM
On September 13, Rob Thomas together with ESPN anchor Hannah Storm, will lead a discussion around the transformative potential of AI, the importance of a multi-cloud architecture — and how companies representing a range of industries – from manufacturing to health care — are winning with AI. Attend...

Oracle Autonomous Database – is it truly self-driving?

August 16, 2018 | by Danny Arnold, Executive IT Specialist - Competitive and Product Strategy Hybrid Cloud, IBM
Oracle generated a lot of buzz prior to Oracle OpenWorld 2017 last September with their announcement of the world’s first self-driving database - Oracle Autonomous Database. However, not many details were released at announcement time. Now that the first Oracle Autonomous Database service,...
IBM Puts Data To Work for AI and in the Cloud

IBM Puts Data To Work for AI and in the Cloud

August 16, 2018 | by Jennifer Clemente, IBM
IBM Hybrid Cloud Marketing VP Scott Hebner speaks with Big Data and Analytics Hub about the bets he’s placing on the offering to evolve into the company’s first AI platform and emulate WebSphere’s success.
Shorten your path to AI with Watson Knowledge Catalog

Shorten your path to AI with Watson Knowledge Catalog

August 13, 2018 | by Jay Limburn, Director and Distinguished Engineer, Offering Management, IBM
Data can be an organization’s most valued asset, providing insights that help strengthen business. Knowing what works and what does not can help you invest more resources in what would work in the future. Learn more about the Watson Knowledge Catalog.
Can analytics help keep students from dropping out of school?

Can analytics help keep students from dropping out of school?

August 13, 2018 | by Matthew Johnsen, Social Content Writer, IBM Cloud
IBM Analytics technology can help schools make the most of this raw data by gathering it, analyzing it and visualizing it in a way that is useful for educators.
Preparing data management for blockchain and other advancements

Preparing data management for blockchain and other advancements

August 10, 2018 | by Milind Tamaskar, Sr Offering Manager, Hybrid Data Management, IBM
Advances such as blockchain technology are steadily gaining traction both in terms of investment and adoption. Well-informed IT professionals are starting to deploy these new technologies to establish a more connected, knowledgeable and secure business. Here are some ways blockchain technology and...
3 ways prescriptive analytics helps deliver better financial services

3 ways prescriptive analytics helps deliver better financial services

August 9, 2018 | by Sajan Kuttappa, Product Marketing Manager – IBM Decision Optimization, IBM
As any financial services executive knows, improving business results with precise, timely decisions is much harder than it looks.
Netezza evolves into the IBM Integrated Analytics System

Netezza evolves into the IBM Integrated Analytics System

Introducing a modern hybrid data warehouse and data science platform

August 8, 2018 | by Thad Vorozilchak, Director, Sales & Strategy, Hybrid Data Management, IBM
The world of data in 2018 is much different than in 2003. We now see a drive towards AI, the emergence of cloud and the prevalence of big data across industries.