Blogs

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 advanced analytics pulls insights from the weather, part 1

How advanced analytics pulls insights from the weather, part 1

July 5, 2018 | by Krish Krishnan, President, Sixth Sense Advisors Inc.
Natural disasters seem inescapable, leaving us feeling vulnerable in the hands of nature. How is this possible, given all the data and technology that surrounds us today? Can’t experts get better at prediction, and even try to stave off more natural calamities or more effectively reduce the loss of...
What has the catalog ever done for us?

What has the catalog ever done for us?

Conforming the data lake

July 2, 2018 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
So what happens now when we go beyond the frontiers of the data warehouse and into the world of the data lake? – the world of Hadoop, of NoSQL, the world of schema on read, of discovering the data as is? For many organizations, the holy grail is to reap the benefits of the data lake while retaining...
Become the data leader driving your company's culture of insight

Become the data leader driving your company's culture of insight

June 27, 2018 | by Vinayak Agrawal, Offering Manager - IBM Hosted Analytics with Hortonworks, IBM
More than 75% of C-level executives consider it a top priority to better leverage data and analytics in their decision-making. Unfortunately, less than half of individual workers say the same — a disconnect that highlights how hard it can be to make those C-level priorities a reality.
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.
4 steps for running a machine learning pilot project

4 steps for running a machine learning pilot project

June 21, 2018 | by Matthew Johnsen, Social Content Writer, IBM Cloud
Running a machine learning pilot project is a great early step on the road to full adoption. To get started, you’ll need to build a cross-functional team of business analysts, engineers, data scientists and key stakeholders. From there, the process looks a lot like the scientific method taught in...
Data democratization is driving self-service analytics

Data democratization is driving self-service analytics

June 20, 2018 | by Dan Schallenkamp, Offering Manager, InfoSphere Information Server for Data Quality, IBM
Data democratization allows data to be accessed across the organization and empowers individuals to use the data in their decision making and gain critical business insights. Data democratization is fast becoming a game changer as it’s moving towards a user centric micro-services based architecture...
Adding MongoDB to the IBM enterprise database ecosystem

Adding MongoDB to the IBM enterprise database ecosystem

June 19, 2018 | by Mike Connor, Manager, Db2 Tools Product Management, IBM
The modern data landscape demands more than one type of database. That’s IBM has rolled out JSON-document-based databases in Db2 and Cloudant, as well as partnered with select database providers to offer developer-focused database services through the IBM Compose platform.
Real-time business value comes from real-time data

Real-time business value comes from real-time data

June 18, 2018 | by Deepthi Nagarajan, WW Product Marketing Manager - Unified Governance and Integration, IBM
Data is business. The pace at which an organization can process data improves its ability to react to business events in real time.

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