Data democratization allows data to be accessed across the organization and empowers individuals to use the data in their decision making and gain critical business insights. Data democratization is fast becoming a game changer as it’s moving towards a user centric micro-services based architecture.
Purchasing options outside of the office are diverse and varied depending on what people want to buy, where and when they buy it, and what they need it for. While shoppers might have personal preferences, they don't limit ourselves to one retailer for all purchasing decisions. So why do that in a
As the information age matures, data has become the most powerful resource enterprises have at their disposal. Learn how to leverage a trusted analytics foundation to achieve all your insight-driven goals.
To accelerate its journey to AI, a data-driven organization needs a trusted data foundation that empowers information stakeholders. Stakeholders need the ability to discover, understand, integrate, analyze, govern and self-serve structured and unstructured data — on premises, on cloud, and hybrid
On this special episode, we sit down and talk to one of the Db2 legends, Matt Huras, Chief Architect for Db2 LUW, an IBM Master Inventor with 54 granted U.S. patents, a prolific public speaker and member of the International Db2 Users Group Hall of Fame. He reflects on retiring from IBM, the key
Most sales-driven organizations have needed a customer retention model at some point or another. The request is fairly straightforward: identify the customers that a business might lose. But the process can create a nightmare.
In part two of our discussion about data in the retail industry, we continue to explore how the massive disruption in retail industry over the past several years. Data, machine learning and AI are set to change the industry yet again. Join Patrick Pitre, Analytics Client Architect IBM Cloud, and
The retail industry has experienced massive disruption over the past several years. Buyer behavior has radically changed with the continued expansion of online shopping. Now, data, machine learning and AI are set to change the industry yet again. Listen to the first in a two-part episode with
Moving data often impacts system performance, so how do you move large volumes of data safely and securely? The importance of data movement is even more critical when you consider moving data from ground to Cloud. Joe Bostian, z Systems Data Science Architect, IBM Analytics, and Mythili
Your business and your data are both unique. For that reason, your enterprise architecture must also be tailored to fit the exact needs of your business. When data is involved, you want choices, not trade offs. And, more importantly, you want your solutions to build upon and complement one another.
Would you like a car that responds to voice commands? What about regularly changing seats at the Super Bowl to experience different views of the game? In this episode of Making Data Simple, learn about the Internet of Things (IoT) and the steps to invention from Lisa Seacat DeLuca, IBM