Blogs

Begin your cognitive enterprise journey at DataWorks Summit Sydney

Begin your cognitive enterprise journey at DataWorks Summit Sydney

August 31, 2017 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
The power of machine learning, data science and big data is no longer considered a hype or fad. It’s a reality and it’s impacting the bottom lines of businesses.
Big Data at NASA

Big Data at NASA

August 14, 2017 | by John Sprague, Deputy Associate CIO for Technology and Innovation, NASA
Data already is the new currency and is at the heart of everything digital. I like to repeat the adage, “Data becomes Information, becomes Knowledge, becomes Wisdom”. And “It’s all about the data”. So why do we send up probes, sensors or satellites — for the data?
An Exciting Data Science Experience on Hortonworks Data Platform

An exciting data science experience on Hortonworks Data Platform

August 14, 2017 | by Vinay Shukla, Director, Product Management, Hortonworks
On June 13th 2017, Hortonworks and IBM announced an extension of our partnership. A key part of this partnership is the collaboration on IBM Data Science Experience (DSX). This collaboration is win-win in that it brings a production-ready full-cycle data science experience to Hortonworks Data...
Cyber Security Powered by AI and Machine Learning

Cyber security powered by AI and machine learning

July 20, 2017 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
The latest executive report published by IBM Institute for Business Value puts the estimated cost of cyber crime to the global economy in a range of USD 375–575 billion per year. Reputational damage, which is hard to calculate, comes on top of all this. No industry and geography has remained...
Propelling the Future of Big Data and Data Science

Propelling the future of big data and data science

Announcing the release of IBM Big SQL 5.0 on the Hortonworks Data Platform

July 11, 2017 | by Jessica Lee, Offering Manager, Hadoop, Analytics, IBM
Data is a potent business resource and the key to gaining and maintaining competitive advantage. Last month, IBM and Hortonworks announced a partnership to bring data science to the world on an open platform, offering Hortonworks Data Platform (HDP) along with IBM Data Science Experience (DSX) and...
Charting the Data Lake: How models can support the data scientist

Charting the Data Lake: How models can support the data scientist

June 14, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
Perhaps one the single most significant changes to the analytics landscape in recent years had been the emergence of the data scientist. This role is continuing to evolve, with many organizations still in the process of establishing how best to incorporate this relatively new discipline into their...
IBM and Hortonworks: Accelerating data-driven decision making

IBM and Hortonworks: Accelerating data-driven decision making

June 13, 2017 | by Rob Thomas, General Manager, IBM Analytics Platform, IBM
Many of today’s top business performers successfully leverage a discipline – data science. Machine learning is one major way to apply data science and with machine learning, the more data we feed in, the better it performs. However, much of the world’s value data cannot be found on the Internet. It...
IBM and Hortonworks collaboration unveil data science for the enterprise

IBM and Hortonworks collaboration unveil data science for the enterprise

June 13, 2017 | by Holly Nielsen, Social Media Strategist, IBM
Companies have access to an unprecedented amount of data. Do they have the tools they need to make sense of these increasingly gigantic data stores?
#ITIQSpotlight: Trends and challenges in hybrid cloud analytics

#ITIQSpotlight: Trends and challenges in hybrid cloud analytics

June 9, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
In any successful modern organization, analytics is likely to play a central role in helping decision-makers design and execute effective business strategies. At IBM, as we work with clients across the globe, we’re seeing ever-increasing levels of maturity and confidence in data-driven business...
Charting the data lake: Model normalization patterns for data lakes

Charting the data lake: Model normalization patterns for data lakes

May 15, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
The data lake can be considered the consolidation point for all of the data which is of value for use across different aspects of the enterprise. There is a significant range of the different types of potential data repositories that are likely to be part of a typical data lake.

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