This week, Dez Blanchfield, Strategist and Data Science Practitioner at Gara Guru, and Bob Hayes, Data Scientist and President of Business Over Broadway, debate the role of Clickers versus Coders in the Data Science industry. Is one role more critical than the other? What skills are required to be
Every business is a data business. But not every business uses their data to solve business problems and compete more effectively. Nancy Hensley, Chief Digital Officer in IBM Analytics, joins us on this week’s podcast to discuss digital transformation and how you can use data and analytics to find
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
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
Machine learning is being used at the heart of next- generation methods for self-driving cars, facial recognition, fraud detection and much more. At IBM, we’re applying machine learning methods to SQL processing so databases can literally learn from experience.
Technology trends and growth areas can vary in different parts of the world. In this week's podcast, Keichii Okada, vice president of IBM Tokyo Software & Systems Development Lab, discusses how natural language technology is helping to advance business strategy and healthcare in Japan. He also
Many companies are expected to pursue data management, advanced analytics and cognitive computing to stay competitive and drive revenue. Except for a handful of leaders such as LinkedIn, Netflix, Nordstrom, Target and Verizon, most companies are still struggling to close the gap between data
The search function is a very powerful tool, assuming you have concrete keywords or concepts to find in your data. And that does not even take into account the size of the information you might be searching.
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
Join us 27 February at 1 PM ET for "Machine Learning Everywhere: Build Your Ladder to AI." Visit the event landing page to learn more about the event and register for a calendar reminder: ibm.com/mleverywhere