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.
Where is AI headed? How should you be thinking about AI? What should you be doing with AI? To answer these questions, we recently convened a round table of tech influencers to discuss some of the most burning issues arising from AI — starting with why we should think of it as “augmented
According to real estate data firm Co-Star, over 90 million square feet of retail space is slated to close this year, leading observers to point to an obvious truth: empathy matters in customer service.
Think 2018 in Las Vegas was a record breaking event, where tens of thousands of attendees gathered to talk with one another and share their experiences. Visionary speakers and experts shared their solutions for some of the world’s most daunting challenges.
Gain a fresh perspective on data and AI in the healthcare industry from Tanmay Bakshi. Recorded live at the IBM Toronto Lab in Canada, Bakshi and host Al Martin discuss the impact of data in healthcare, including mental health for youth and helping people communicate through the use of brain
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
http://www.ibm.com/us-en/marketplace/integrated-analytics-systemHow is data science changing with the availability of high-performance data platforms? Vikram Murali, director of IBM Integrated Analytics Systems and Db2 Event Store development, Jay Wentworth, STSM of appliance architecture, and
In this special podcast, our Making Data Simple Podcast host Al Martin is joined by Caleb Curry, data guru for IBM Hybrid Cloud, and Sam Lightstone, IBM fellow of analytics, to talk about their session at the IBM Think 2018 Conference: "Next-Generation Data Management: Power and Simplicity to the
For decades, a company’s database usually had a single job: operating as either an operational — also known as transactional — database or acting as a data warehouse. It was also typically deployed in a single location: on premises. Today, companies not only want more from their databases, but also
In this week's episode of Making Data Simple, Al Martin and Adam Storm, IBM senior technical staff member and master inventor, next-generation HTAP architect, sit down to talk about fast data. Adam also covers the pros and cons of different information architectures and the software you can use to