Cognitive analytics is innovating and evolving rapidly. Expert predictions in this area are essential for organizations that plan to leverage cognitive analytics in their big data analytics strategies in 2016 and beyond
Cognitive IoT will transform the amount and type of data enterprises are able to capture and make sense out of for valuable insights. Find out how your business can transform with the cognitive Internet of Things.
Welcome to IBM Cognos Analytics and the new age of business intelligence (BI). See how IBM has reimagined BI for a self-service experience lines of business have never seen combined with the same powerful platform IT appreciates.
Explore the IBM i2 Summit for a Safer Planet in pictures taken from general and breakout sessions. Experts in various security-related fields—including law enforcement, emergency management, defense/national security, cyberthreat intelligence and counter-fraud—gathered to discuss new, more
What can the office of finance learn from Earth’s toughest endurance cycling race? Ride along with ultracyclist Dave Haase, discovering how he used insights supplied by IBM Analytics to become the fastest American to have competed in the Race Across America in 16 years.
BigInsights BigIntegrate and BigQuality offer a cost-effective opportunity to fully leverage the scale and promise of Hadoop. Here are 10 ways BigIntegrate and BigQuality are making it easier for organizations to harness the power of their entire data ecosystems.
The promise of the Internet of Things is huge, but how can leaders extract real value from it? Four key areas can provide easy entry points to tap into the IoT, and quickly begin to realize value with IoT technologies.
How did an established mobile communications company drastically increase sales and reduce costs? This presentation highlights the detailed profiling and call analysis the company used to send only customized marketing communications to its customers.
Apache Spark is a next-generation, cluster-computing, runtime processing environment and development framework for in-memory advanced analytics. This presentation provides a crisp, ten-point summary of what every data analytics professional should know about Spark.