Watch, listen, and subscribe on your preferred platform:
About the podcast
The introduction of the first computer. The boom of the dotcom renaissance. Now, the dawn of AI. The throughline across each of these momentous inflections in our digital lives has been data. But the presence of data doesn’t mean immediate insights and results. It’s the architectures and systems in place that determine the true value—and trust—of data. The AI Forecast: Data and AI in the Cloud Era podcast by Cloudera and hosted by Paul Muller explores the currency of data with today’s leading companies and industry experts.
About the host
Paul Muller
Paul Muller is the host of The AI Forecast: Data and AI in the Cloud Era podcast. He is also the director of Denting the Universe, a business consulting company that helps organizations put a positive dent in their performance, productivity, and predictability. Paul is passionate about enabling businesses and people to reveal their inner power by clarifying missions, marshaling resources, and communicating stories.
Episodes & guests
Episode 6 | To Prevent the Artificial Charlatan, Data Management Has to be Fun
Andrew Brust
Founder & CEO, Blue Badge Insights
Wednesday, January 15, 2025
The AI explosion has led to non-stop hype cycles as the technology continues to develop. But AI is only as good as the data behind it. The threat of lousy data is bad AI.
Andrew Brust, Founder and CEO of Blue Badge Insights, joins The AI Forecast to discuss the AI hype–and how to prevent what he calls an “artificial Charlatan” of bad AI. He emphasizes the dependent relationship between data and AI and the former’s role in the success of the latter. Specifically, he addresses the data governance conundrum, and why in order for data technology to be successful, it has to be fun.
Episode 5 | Data Doesn’t Have To Be So Complicated
Jordan Morrow
SVP, Data & AI Transformation, AgileOne
Wednesday, January 8, 2025
More data exists than ever before – in fact, IDC predicts worldwide data will grow 61% by 2025. However, simply having data is not enough; business leaders must know how to effectively leverage it to make informed decisions. Conversely, data professionals also need strong business acumen to understand how their insights create value for the organization.
Jordan Morrow, known as “The Godfather of Data Literacy,” joins The AI Forecast to share why data has become so complicated and what leaders and data professionals can do to untangle a messy data web for real value. The secret? For both parties to understand the language of data and business.
Episode 4 | Bridging the Gap: Data Professionals, AI, and Real Business Outcomes
Jonas Christensen
Head of AI Innovation, SkillsGPT
Wednesday, December 18, 2024
Data professionals are at the forefront of today’s digital economy, driving organizational transformation through AI. Yet, despite the vast opportunities AI presents, many data professionals encounter challenges that hinder their ability to lead effectively in this space.
In this episode of The AI Forecast, Jonas Christensen, Head of AI Innovation at SkillsGPT and Host of the Leaders of Analytics podcast, explores how data professionals can unlock their full potential—and that of their organizations. He breaks down the enterprise AI value chain, highlights where data professionals fit within it, and demystifies AI for organizational success.
Jonas also shares the critical skills needed for AI projects to succeed, from embracing ‘sweaty palm’ moments to understanding why data science is truly a team sport.
Episode 3 | Data, AI, and the Hybrid Hustle: Connecting the Dots in a Fast-Paced World
Sanjeev Mohan
Principal Analyst, SanjMo
Wednesday, December 11, 2024
Technology in the enterprise is evolving at a record pace, making it increasingly difficult to keep up with the latest "tech du jour." AI has only accelerated this evolution, bringing about a data reckoning—especially as more organizations adopt hybrid models to manage their data.
Both users and organizations are seeking data platforms that can connect the dots of their data today while adapting to tomorrow's demands. This shift underscores the growing demand for open standards. But what does that kind of platform experience look like today?
Sanjeev Mohan, Principal Analyst of SanjMo, joins the AI Forecast to discuss the state of modern data platforms in the AI era. He explores why AI is a business initiative first and foremost, why data governance cannot afford to be an afterthought, how hybrid models level the data playing field, and the untapped potential of unstructured data.
Episode 2 | Beyond Just Data in Today’s Market
Ryan Garnett
Senior Manager, Business Solutions, Halifax International Airport Authority
Wednesday, December 4, 2024
Airports are an interconnected system where one unforeseen event can tip the scale into chaos. For a smaller airport in Canada, data has grown to be its North Star in an industry full of surprises. But in order for data to bring true value to operations–and ultimately customer experience–those data insights must be grounded in trust. Ryan Garnett, Senior Manager Business Solutions of Halifax International Airport Authority, joins The AI Forecast to share how the airport revamped its approach to data, creating a predictions engine that drives operational efficiency and improved customer experience.
Episode 1 | Exploring the Dark Ages of Data with R "Ray" Wang
R "Ray" Wang
Principal Analyst, Founder & Chairman, Constellation Research
Wednesday, November 20, 2024
Companies have access to more data than ever before – according to IDC, worldwide data will grow 61% by 2025. However, when it comes to adopting AI, there is a difference between companies who merely have internal data and those who have precise, accurate data. The first step to delivering trusted AI is having the right type of data. R "Ray" Wang, principal analyst and founder of Constellation Research, joins The AI Forecast to discuss the value of precision data as we enter what he calls “the dark ages of data”. Make sure to like, comment and subscribe for a new episode every Wednesday.