On this episode of the Making Data Simple podcast, Al Martin sits down with Jean Bozman, vice president at Hurwitz & Associates, and Dan Kirsch, managing director at Hurwitz & Associates. Together, they discuss data optimization, compliance, governance, and security in industries including
This episode of Making Data Simple features Brian O’Neill, product designer for Designing for Analytics. Brian and host Al Martin step back from the deep, technical questions of data science, architecture and governance to look at how principles of design can clarify and accelerate development for
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
Sales compensation programs are incredibly effective for aligning salespeople with company objectives. An organization can sink or swim by whether salespeople know the most forward-thinking and effective sales performance management (SPM) solutions.
How can we always be sure the stories we’re reading are accurate? Is there an agenda to distort facts to change opinions? Does a story assert falsehoods, misquote its subjects or rely on hyperbole? In short: is the news we’re consuming the truth? Or is it “fake news?” Meet Mike Tamir, an analytics
Back by popular demand in this week's episode is Nancy Hensley, Director of Offering Management for IBM Hybrid Cloud. Nancy is joined by Sean Ellis, CEO and founder of GrowthHackers.com, who coined the term growth hacking several years ago. Sean and Nancy share ways to find the Northstar metric for
Are you too late to join the social media game? How can you leverage social media to connect and engage with your clients? This week on Making Data Simple, we talk to our podcast producers Kate Nichols, Manager of Content Experience & Design for IBM Hybrid Data Management, and Fatima Sirhindi,
Do you view technical content as a strategic part of your business? On this week's episode of "Making Data Simple," we are joined by Julia Montarbo (Bamford), IBM Hybrid Cloud Content Design and Strategy, and Jeff Levitt, IBM Hybrid Cloud Content Strategist. They talk about the strategy behind
It seems like CEOs all over the world are realizing that to be competitive, they have to embrace technologies like private cloud and artificial intelligence (AI). IBM Cloud Private for Data empowers organizations to be AI-ready with an integrated analytics platform.
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
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
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
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