Making Data Simple

In this first episode of Making Data Simple, host Al Martin welcomes Daniel Hernandez, Vice President of IBM Analytics Offering Management, who helps us navigate "the big data problem" and shares why he doesn't like the term "big data." Show Notes: 01:30 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku) 04:30 Connect with Daniel Hernandez on Twitter (@danhernandezATX) and LinkedIn (linkedin...

Welcome to a new Making Data Simple series, Stories from the Field with Wennie Allen, IBM Data and AI. This series will focus on practical use cases of big data and A.I., enabling shared experiences and perspectives.  You can expect these field highlights every fourth episode of Making Data Simple. In this episode, Wennie talks to Brittany Bogle about her perspective as a professional data scientist...

In an ever-changing and growing age of data and technology, how can you turn data into better decisions for your company? How do you keep up? Is there a recipe for greatness? In this podcast, Rob Thomas, General Manager of Analytics at IBM, discusses data, tech companies and his two books, Big Data Revolution and The End of Tech Companies.  "A crisis has arrived whether you know it or not...

In the latest episode of: "Stories from the Field", Host Wennie Allen, IBM Data and AI, sits down with Elenita Elinon, leader of the Quantitative Research Analytics at JP Morgan Chase, recognized and awarded as one of the top 40 Women Leaders in Data and AI for her work with risk and fraud. Elenita shares her experiences, challenges, and lessons learned. Explore more about the IBM Women Leaders in AI initiative. Learn more about JPMC and their work with the IBM Data and AI Elite Team.

How do you provide answers to clients prior to them asking? What do you do with an abundance of client data? In this episode of Making Data Simple, Tracy Bolot, Director of Digital Client Support for Analytics at IBM, talks about how to maximize teamwork and strengths to enrich your clients' experience. Show Notes 00:15 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku) 00:30 Connect with Tracy Bolot on LinkedIn(linkedin...

 According to the Economist, 70 percent of business executives rated analytics as “very” or “extremely important,” but just 2 percent say they have achieved “broad positive results.” In this episode of Stories from the Field, host Wennie Allen talks to Carlo Appugliese of the IBM Data Science and AI Elite Team about his insights from more than 100 client engagements to improve business outcomes quickly...

In this episode of Making Data Simple we hear insights from IBM Machine Learning Hub data scientists Jorge A. Castañón and Óscar Lara-Yejas as they discuss what machine learning is and is not. They also answer the most controversial question today: Will machines take our jobs? Listen to find out! Show Notes 00:25 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku) 02:10 Connect with Jorge A. Castañón on Twitter (@castanan) and LinkedIn (linkedin...

How did companies like Facebook and Airbnb get so big so fast? What can we learn from them? Why is data so important for growth? Nancy Hensley, Director of Strategy & Growth for IBM Hybrid Cloud, has the answers in this episode of Making Data Simple. Learn how you can use growth hacking strategies to build your business and why growth hacking isn't just for startups. Show Notes 00:25 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin...

Augmented reality will change the way we experience data. But, what will this new reality look and feel like, and how can we take advantage of it to make better decisions? Tune in to this episode of Making Data Simple to learn about augmented reality data visualization from Ben Resnick and Alfredo Ruiz, members of the IBM Immersive Insights team.    Shownotes 00.10 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku) 00...

What is driving change in the world of data?