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
This week on the Making Data Simple Podcast, Dinesh Nirmal, Vice President, IBM Analytics Development, joins us to discuss AI. He discusses how companies can ladder to AI, if AI is really a threat to our jobs, and the qualities that define a great leader. Learn the key stages of product development
“Content management” — at least as traditionally defined — is no longer the straw that stirs the process drink. It’s a key element, yes. It’s an important set of tools in the enterprise toolkit, yes. But it is not the only game in process town.
In this episode of Making Data Simple, Ember Crooks, Db2 Lead DBA and Delivery Manager at Xtivia, IBM Champion and IBM Gold Consultant, sits down to talk about her experience in the data science field. She shares her industry expertise, career goals, and tips for those looking to venture into the
Whether you are a start-up or a large corporation, you need to engage your team to drive engagement and business results. Katharine Kearnan, senior communication manager, IBM Analytics, and Alexa Youssefian, communications and social media specialist, IBM Analytics, join us this week to discuss
So what happens now when we go beyond the frontiers of the data warehouse and into the world of the data lake? – the world of Hadoop, of NoSQL, the world of schema on read, of discovering the data as is? For many organizations, the holy grail is to reap the benefits of the data lake while retaining