Blogs

Cask joins IBM Project DataWorks open ecosystem partner program

Cask joins IBM DataWorks open ecosystem partner program

September 27, 2016 | by Jonathan Gray, CEO, Cask
IBM today announced exciting news about their Open Platform initiative with Apache Hadoop. And at its DataFirst Launch Event tonight, IBM will provide an early access view of the new IBM Project DataWorks with Watson, along with an introduction to DataFirst Services from IBM. IBM today also...
Simplifying the deployment of data-driven business innovations

Simplifying the deployment of data-driven business innovations

September 27, 2016 | by James Kobielus, Big Data Evangelist, IBM
Going forward, the businesses that truly disrupt their industries will be those who empower all of their personnel with open platforms, tools, and methodologies for data-driven app development. In that regard, this week’s announcement from IBM and our partners represent a key industry milestone.
Like a gym membership, data has no value unless you use it

Like a gym membership, data has no value unless you use it

September 27, 2016 | by Harriet Fryman, Vice President of Growth, IBM Analytics, IBM
When we look at all the uses of data organizations can embark upon, they fall into four main exercise groups of increasing benefit. Let’s go through each in turn and assess where your organization is in its journey to a healthier business.
Apply good data science to outthink competitors’ marketing

Apply good data science to outthink competitors’ marketing

September 26, 2016 | by Alex Liu, Chief Data Scientist, Analytics Services, IBM
Many marketing concerns have seen the light when it comes to the application of big data analysis as a means of outthinking the competition. Discover three best practices for implementing big data analytics for good data science in marketing initiatives.
Next-generation data science: Open analytics ecosystems

Next-generation data science: Open analytics ecosystems

September 19, 2016 | by James Kobielus, Big Data Evangelist, IBM
Open data science initiatives can be a revolutionary force for innovation that spans diverse industries. And that force comes from the people in different roles and with various skill sets who use open source data science tools to develop and deploy new designs for working and living. Discover why...
A developer's take: Using Hadoop in the cloud to fail fast

Using Hadoop in the cloud to fail fast

September 15, 2016 | by Andrea Braida, Portfolio Marketing Manager, IBM
Chris Snow, a data and application architect, enjoys helping customers with their data architectures and is working extensively on an open source app project in his spare time. Hear what Snow has to say about his IT experience spanning several industries, his current efforts with customers and his...
Next-generation data science: Acceleration for team productivity

Next-generation data science: Acceleration for team productivity

September 12, 2016 | by James Kobielus, Big Data Evangelist, IBM
The productivity of data science teams—often challenged by access and formatting minutiae—can be enhanced by automating many of the manual tasks these teams need to process. Take a peek inside the mind of a data scientist, and see how acceleration of the data science development pipeline can boost...
Collaborate to foster cognitive disruption

Collaborate to foster cognitive disruption

September 9, 2016 | by James Kobielus, Big Data Evangelist, IBM
The importance of data science expertise, techniques and tools in a world rapidly employing advanced cognitive systems cannot be understated. Learn more about how business analysts, data scientists, data engineers, application developers and other professionals with analytical skills sets are using...
Getting the right mix of analytics specialists in data science teams

Getting the right mix of analytics specialists in data science teams

September 6, 2016 | by James Kobielus, Big Data Evangelist, IBM
The success of next-generation data science initiatives depends heavily on teamwork from the right mix of application developers, business analysts, data engineers, statistical modelers and other specialists. Discover more about the composition of high-quality data science collaboration through the...
Building a big data center of excellence

Building a big data center of excellence

September 6, 2016 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
Many organizations can capitalize on big data solutions and technologies to make use of expanded volumes of data for enhancing the critical decisions that drive successful business outcomes. And yet, a number of these enterprises can be inhibited from moving big data initiatives forward for a...

Pages