Blogs

Ten expert tips for visual data science

July 25, 2018 | by Jennifer Clemente, IBM
Data science and machine learning provide the basis for business growth, cost and risk reduction and even new business model creation -- but implementing predictive analytics does present some challenges. IT Central Station members have shared tips that help organizations overcome the challenges in...
How analytics superhero Mike Tamir uses data to fight fake news

How analytics superhero Mike Tamir uses data to fight fake news

July 9, 2018 | by Melissa Love, Influencer Marketing Manager, IBM
How can we always be sure the stories we’re reading are accurate? Is there an agenda to distort facts to change opinions? Does a story assert falsehoods, misquote its subjects or rely on hyperbole? In short: is the news we’re consuming the truth? Or is it “fake news?” Meet Mike Tamir, an analytics...
How Data Science Experience improves accuracy for the insurance industry

How Data Science Experience improves accuracy for the insurance industry

June 26, 2018 | by Jennifer Clemente, IBM
In this Q&A, IBM financial services solution architect Irina Saburova discusses an insurance use case with IBM Data Science Marketing Lead Rosie Pongracz. In this scenario common to the insurance industry, an organization needs to adjust its operations based on upcoming weather event and...
Learn to deliver fast ROI with data science

Learn to deliver fast ROI with data science

Three key features of IBM Data Science Experience explained

June 25, 2018 | by Jennifer Clemente, IBM
IBM Data Science Experience was designed to kick-start and rapidly scale data science projects, fitting any deployment needs in a multicloud environment.
Teaming on Data: IBM and Hortonworks broaden relationship

Teaming on data: IBM and Hortonworks broaden relationship

June 18, 2018 | by Rob Thomas, General Manager, IBM Analytics Platform, IBM
Data is driving business. And as volumes climb with no end in sight, companies have a decision to make: harness and extract insight from that data, or watch your competitors do it as they pass you by.
How to optimize your business decision-making

How to optimize your business decision-making

June 7, 2018 | by Sajan Kuttappa, Product Marketing Manager – IBM Decision Optimization, IBM
Decision-makers across many different industries are making complex decisions every day that involve optimizing trade-offs to make the right business choices.
3 ways IBM Cloud Private for Data can accelerate your AI and machine learning journey

3 ways IBM Cloud Private for Data can accelerate your AI and machine learning journey

May 30, 2018 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
It seems like CEOs all over the world are realizing that to be competitive, they have to embrace technologies like private cloud and artificial intelligence (AI). IBM Cloud Private for Data empowers organizations to be AI-ready with an integrated analytics platform.
The Next Enterprise Platform

The Next Enterprise Platform

May 29, 2018
Platforms drive commerce. Whether in technology or other industries, the creation, acceptance and adoption of platforms spur innovation, efficiency, and productivity.  Consider the U.S. Interstate Highway System, which dates back to the 1950’s, when a few companies and industry groups first began...
72-hour rule: Can you identify and report a data breach within 3 days?

72-hour rule: Can you identify and report a data breach within 3 days?

May 22, 2018 | by Seth Dobrin, Vice President and Chief Data Officer, Analytics, IBM
Rather than worry about your future performance, work to be the best today. The rest will follow. Seize the opportunity to respond to customers in the moment, rather than react too late. That way, everyone benefits.
Machine learning everywhere: IBM banks on trust and open standards to fuel adoption

Machine learning everywhere: IBM banks on trust and open standards

May 21, 2018 | by Jennifer Clemente, IBM
Hear from IBM's Dinesh Nirmal on his thoughts on AI and the potential for widespread adoption as IBM puts its weight behind enterprise data science