On this week's Making Data Simple Podcast, we are joined by Steve Moore, IBM senior content designer and story strategist, along with Aishwarya Srinivasan, IBM data scientist and deep learning researcher. Aishwarya discusses what it means to be a unicorn in an industry and why it is useful to pair
Interested in learning what it takes to operate a start-up? On this episode of Making Data Simple, host Al Martin sits down with Simon Lightstone, IBM offering manager, to discuss what it took to get his startup off the ground. Simon offers tips to those facing a similar experience and describes
This week, Al Martin welcomes Jillian Lellis, senior data analyst at HOLT CAT, to the Making Data Simple podcast. Jill explores the significance of data visualization and the impact of visualizations on decision-making. Learn why visualization tools are increasing in importance as the volume of
In the coming weeks, you have three great opportunities — two in the U.S., one in Europe — to network with your industry peers as you meet and learn from IBMers who are reinventing analytics for organizations large and small.
Back by popular demand, Tanmay Bakshi returns to the Making Data Simple podcast to update our listeners on his groundbreaking work applying AI and machine learning to the healthcare industry. From exploring EEG patterns to enable people to communicate without speech to predicting adverse reactions
What does it mean to "go digital?" This week on the Making Data Simple Podcast, Thomas Hronis, worldwide digital technical enablement manager, IBM Hybrid Data Management, talks about digital transformation and experimentation with technology. He shares how IBM has radically changed some business
Two of the the most popular IBM podcasts collide in this special episode of Making Data Simple. Host Al Martin interviews William McKnight, president at McKnight Consulting Group and host of the Data Decoded podcast. Al and William discuss the pros and cons of big business versus consulting, trends
This week on the Making Data Simple podcast, Sriram Srinivasan – architect and senior technical staff member for IBM Data Science Experience – discusses how to build and nurture trusted analytics to better your business. Sriram also shares insights on IBM Cloud Private for Data.
Are you getting enough sleep? On this week's episode of Making Data Simple, Dr. Kyu Rhee, vice president and Chief Health Officer for IBM Watson Health, joins us to talk about how machine learning, AI, and Watson are advancing healthcare initiatives. Learn how far the health industry has advanced,
Rob Thomas, general manager of IBM Analytics, discusses the principles that guide the IBM Analytics business and have led to its latest major offering: IBM Cloud Private for Data, a platform for high-performance analytics that powers cloud-based applications so companies can be ready for AI.
On this week's episode of Making Data Simple, Susara van den Heever, Data Science Program Director, IBM Analytics, sits down with us to give insights on practices that improve business efficiency and effectiveness. Learn the differences between predictive and prescriptive analytics, and how to
Data science and machine learning provide the basis for business growth, cost and risk reduction and even new business model creation -- but implementing predictive analytics does present some challenges. IT Central Station members have shared tips that help organizations overcome the challenges in