In this podcast recorded at WoW, IBM Data Science Evangelist James Kobielus interviewed two of those experts—Steve Ardire, AI software startup advisor, and Joe Caserta, Caserta Concepts—to gain their insights on trends facing data professionals.
As we bid goodbye to IBM Insight at World of Watson 2016, we set our sights on exciting engagements taking shape to help make the world a better place that are expected to result from IBM partnerships with innovative organizations. Here’s a recap of the conference’s closing moments and
If simplicity can fundamentally accelerate focused action, then you can significantly boost speed, productivity and effectiveness in your enterprise. Take a look at this overview of key announcements unveiled on the first day of IBM Insight at World of Watson 2016.
A recent CrowdChat covered team data science as the core competency for digital disruption in today’s business environments. Consider these highlights from that discussion as you prepare for your trip to Las Vegas.
IBM Insight at World of Watson 2016 affords a great opportunity for you to gain insight into the CDO, CIO and CTO roles. Here are some highlights from a recent CrowdChat involving industry influencers discussing the challenges and opportunities that these C-level executives face in the cognitive
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.
IBM Insight at World of Watson 2016 has oodles of opportunities for data engineers to enrich their skill sets with a bevy of best practices, peers to network with, pointers and tips to discover, sessions to attend and more. Consider five key reasons to get the green light from your organization to
Maybe classifying data as structured or unstructured isn’t so simple. What is structured to some may not be structured to others and vice versa. When it comes to the business value of data, consider another way to look at data—whether it is repetitive data or non-repetitive data.
Evolving Internet of Things technology is paving the way for ongoing innovation—from smart thermostats and smart cars to other smart devices—through continuous access to its data streams. And while ongoing access to that data inspires the magic behind Internet of Things solutions, it also offers an
Apache Spark not only excels at data warehousing, in-memory environments for building data marts and other functions, it also is well suited for pulling data from a wide range of sources and transforming and cleansing that data in an Apache Hadoop cluster. And then there is Spark’s complementary
At the recent Strata + Hadoop World conference, everybody was talking about the growing number of open source solutions. But what does this mean for the rapidly maturing field of data science? Find out in this firsthand report—and get a sense of how open source solutions will take analytics to the
An open ecosystem thrives on a mature core platform. It also depends on partnering arrangements that incentivize solution providers to continue developing standards-based interoperability around the shared environment. Take a deeper dive into recent announcements of new open ecosystem milestones