Blogs

Wanted: Smart humans

Wanted: Smart humans

Why AI still needs us

February 20, 2017 | by Greg Council, Vice President, Marketing and Product Management, Parascript
The reality is that AI is still heavily-reliant upon smart, willing and trained humans in order for AI to behave in a manner that we would expect. Humans are needed to scope the problems, identify relevant examples and verify the results. Without humans as a guide, current AI is no more capable...
Machine learning enriches the private cloud

Machine learning enriches the private cloud

February 15, 2017 | by James Kobielus, Big Data Evangelist, IBM
Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example...
IBM and Fox make a big impact with Hidden Figures screening

IBM and Fox make a big impact with Hidden Figures screening

February 13, 2017 | by J. White Bear, Data Scientist/ Advisory Software Engineer, IBM
January marked the release of the long awaited Hidden Figures movie featuring an all-star cast and highlighting the contributions of both women and IBM's technology to history. Hidden Figures tells the true story of three African-American female mathematicians, Katherine Johnson, Mary Jackson, and...
Analytics and the cloud: A perfect match

Analytics and the cloud: A perfect match

February 7, 2017 | by Steven Lockwood, Executive Information Architect, IBM
This is the first in a sequence of blogs that takes a peek at what is driving analytics onto the cloud, what are the challenges that will need to be overcome over the next 5 years and how they will be tackled.
IBM’s big data meetup program approaches a significant milestone

IBM’s big data meetup program approaches a significant milestone

February 3, 2017 | by Nancy Berlin, WW Event Manager, Analytics Platform Services, IBM
IBM’s community of big data developers continues to grow. As our Big Data Developer meetup program moves into its fifth year, this worldwide community of customers, partners and IBM developers is on the verge of enlisting its 100,000th member—when we published this blog, we counted 99,100. 
Internet of Things: Setting business vision on speed and agility

Internet of Things: Setting business vision on speed and agility

January 27, 2017 | by James Kobielus, Big Data Evangelist, IBM
Internet of Things data, devices and technologies are evolving into a core platform that is expected to impact business flexibility and more. Take a look at some key comprehensive best practices for Internet of Things–enabled application development that can put speed and agility into your business...
Going beyond collaboration to achieve data-driven success

Going beyond collaboration to achieve data-driven success

January 25, 2017 | by James Kobielus, Big Data Evangelist, IBM
Today’s businesses need a culture of collaboration that empowers knowledge workers to glean cognitive insights from data that help transform and modernize operations. See how cloud-based platforms and solutions enable data scientists and other experts to exploit artificial intelligence, machine...
Social media data and the customer-centric strategy

Social media data and the customer-centric strategy

January 24, 2017 | by Krish Krishnan, President, Sixth Sense Advisors Inc.
The unprecedented evolution of social media data’s influence on business can have tremendous impact on how customers are integrated into organizational goals and practices. See why more organizations than ever are using social media data to take a customer-centric approach to evolving their...
10 expert tips to boost agility with Hadoop as a service

10 expert tips to boost agility with Hadoop as a service

January 11, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
In a recent CrowdChat discussion, a group of Hadoop and Spark subject matter experts from the IBM Analytics group discussed using cloud-based Hadoop and Spark services as a lever for business agility. From their contributions we drew ten hot topics and themes for experts in all areas of the big...
How to build an all-purpose big data engine with Hadoop and Spark

How to build an all-purpose big data engine with Hadoop and Spark

Interview with Rohan Vaidyanathan and Niru Anisetti

January 4, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
Some organizations misunderstand the optimized way to use Hadoop and Spark together, primarily because of their complexity. But investing in both technologies enables a broad set of big data analytics and application development use cases. See what Niru Anisetti and Rohan Vaidyanathan have to say...

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