Blogs

3 top data challenges and how firms solved them

3 top data challenges and how firms solved them

September 19, 2018 | by Matthew Johnsen, Social Content Writer, IBM Cloud
The future that data experts and science fiction authors have long predicted is here.
Dreaming of flying cars?

Dreaming of flying cars?

Lunewave's Hao Xin shares how data innovation leads to autonomous vehicles

September 12, 2018 | by Hao Xin, Co-founder and CTO, Lunewave
Lunewave's Hao Xin writes, "As a kid, I dreamed about the flying cars and jetpacks that would hopefully define our future lives. Up until recently, the technology that could make them even remotely possible was both expensive and difficult to manufacture. Now, thanks to 3-D printing and machine...
How to improve manufacturing ROI with prescriptive analytics

How to improve manufacturing ROI with prescriptive analytics

September 11, 2018 | by Sajan Kuttappa, Product Marketing Manager – IBM Decision Optimization, IBM
Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while...
3 IBM Analytics events you can't miss this fall

3 IBM Analytics events you can't miss this fall

September 5, 2018 | by Alyse Dahelian, Global Vice President, IBM Analytics
In the coming weeks, you have three great opportunities — two in the U.S., one in Europe — to network with your industry peers as you meet and learn from IBMers who are reinventing analytics for organizations large and small.
Winning with AI:  Industry POV on how to change the game, part 2

Winning with AI: Industry POV on how to change the game, part 2

August 31, 2018 | by Melissa Love, Influencer Marketing Manager, IBM
Ahead of the “Change the Game: Winning with AI,” a September, 13, 2018 event, we asked a virtual roundtable of analytics experts and analysts to wrestle with some of the core issues surrounding AI.
Winning with AI:  Industry POV on how to change the game, part 1

Winning with AI: Industry POV on how to change the game, part 1

August 29, 2018 | by Melissa Love, Influencer Marketing Manager, IBM
Will artificial intelligence remake business as we know it? Will AI change the way we do our jobs – or reshape entire categories of careers? How can businesses harness the transformative potential of AI and outplay the competition? Leaders from a broad range of industries and expertise will be...
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...
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.
Why IBM Analytics adopted big-bet thinking: an interview with Rob Thomas

Why IBM Analytics adopted big-bet thinking: an interview with Rob Thomas

August 7, 2018 | by Jennifer Clemente, IBM
Rob Thomas, general manager of IBM Analytics, discusses the principles that guide the IBM Analytics business and have led to its latest major offering: IBM Cloud Private for Data, a platform for high-performance analytics that powers cloud-based applications so companies can be ready for AI.
learn what machine learning can do for you with this 101 article.

What is machine learning?

July 25, 2018 | by Matthew Johnsen, Social Content Writer, IBM Cloud
A 101 article on machine learning.

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