AI at Work
Podcast Description
What does AI really mean for the modern workplace, and are we ready for what comes next?AI at Work is a podcast from the Tech Talks Network, the home of conversations that showcase the voices at the heart of enterprise technology. You may know me from Tech Talks Daily, where we explore a different area of innovation in every episode. This show takes a focused look at one of the biggest shifts in business: how artificial intelligence is transforming the way we work.Each episode brings insights from business and technology leaders who are already using AI to increase productivity, improve decision-making, and rethink the role of people inside the enterprise. We look at real-world use cases, explore the return on investment of AI tools, and confront some of the hard questions around implementation, governance, ethics, and the evolving relationship between humans and machines.From intelligent automation to agentic AI, and from the promise of workplace efficiency to the risks of unintended consequences, we aim to offer a grounded and accessible view of how AI is shaping the future of work.If you’re using AI in your business or thinking about how to get started, this podcast is your chance to learn from the people already doing it.
Podcast Insights
Content Themes
The podcast explores a variety of central themes, including the implications of AI on productivity, decision-making, and human roles in enterprises. Specific episodes delve into topics such as mass-scale code refactoring, represented by the interview with Justine Gehring from Moderne, as well as practical AI integration strategies depicted in the debut episode featuring Gautam Singh discussing data analytics. The show aims to demystify AI by addressing governance, ethics, and challenges faced by businesses in its adoption.
What does AI really mean for the modern workplace, and are we ready for what comes next?
AI at Work is a podcast from the Tech Talks Network, the home of conversations that showcase the voices at the heart of enterprise technology. You may know me from Tech Talks Daily, where we explore a different area of innovation in every episode. This show takes a focused look at one of the biggest shifts in business: how artificial intelligence is transforming the way we work.
Each episode brings insights from business and technology leaders who are already using AI to increase productivity, improve decision-making, and rethink the role of people inside the enterprise. We look at real-world use cases, explore the return on investment of AI tools, and confront some of the hard questions around implementation, governance, ethics, and the evolving relationship between humans and machines.
From intelligent automation to agentic AI, and from the promise of workplace efficiency to the risks of unintended consequences, we aim to offer a grounded and accessible view of how AI is shaping the future of work.
If you’re using AI in your business or thinking about how to get started, this podcast is your chance to learn from the people already doing it.
Artificial intelligence is no longer a distant ambition, it is actively reshaping how businesses operate, innovate, and compete. But what does AI truly mean for the workplace of today and tomorrow? And as the pace of advancement accelerates, are organizations truly ready for what comes next?
In this episode of AI at Work, we explore these questions with Louis Landry, newly appointed CTO of Teradata. With over two decades of experience in software architecture, engineering leadership, and technology innovation, Louis brings a grounded and insightful perspective on how businesses can harness AI responsibly and effectively.
Together, we unpack some of the defining trends for 2025: the maturation of retrieval-augmented generation, the evolution of large-scale personalization, and the rise of agentic AI systems that blend generative AI with traditional software architectures. Louis explains how enterprises are moving beyond experimental AI projects to focus on outcome-driven deployments that deliver measurable business impact.
Throughout our conversation, Louis stresses a recurring theme: trust. Building trusted AI, grounded in transparency, human accountability, and high-quality data, is essential for sustainable success. He shares practical strategies for managing emerging challenges such as vector data governance, navigating regulatory uncertainty, and balancing innovation with responsible risk management.
We also explore the vital role of data harmonization in achieving faster, more confident decision-making, and how open-source technologies are enabling more accessible and customizable AI solutions across industries. Louis highlights why data quality, explainability, and clear business outcomes should be the North Star for any organization looking to thrive in an AI-driven future.
As businesses face an increasingly complex digital environment, what strategic investments should they prioritize? How can they build AI systems that remain trustworthy, scalable, and truly transformational? And what leadership mindset is needed to unlock the next era of workplace innovation?
Tune in to hear Louis Landry’s insights on the future of AI, and join the conversation: How do you see AI shaping the future of work in 2025 and beyond?
Disclaimer
This podcast’s information is provided for general reference and was obtained from publicly accessible sources. The Podcast Collaborative neither produces nor verifies the content, accuracy, or suitability of this podcast. Views and opinions belong solely to the podcast creators and guests.
For a complete disclaimer, please see our Full Disclaimer on the archive page. The Podcast Collaborative bears no responsibility for the podcast’s themes, language, or overall content. Listener discretion is advised. Read our Terms of Use and Privacy Policy for more details.