Join host Carlos Kemeny on the AI Decision Guy Podcast as he engages in a thought-provoking conversation with bestselling author, prolific keynote speaker, and fellow data nerd and expert—Joe Reis.

In this episode, they delve into the dynamic world of data and decision-making. From data quality and biases to strategic frameworks and tool integration, Joe shares insights on navigating the complexities of modern analytics. They explore AI's role in enhancing data quality assessment, and the balance between its potential and human judgment.

Tune in to gain valuable perspectives on ethical decision-making, AI's impact on business, and the ever-evolving landscape of data utilization.

In this podcast episode, host Carlos Kemeny explores the world of AI with guest Jeri Larsen. They discuss how AI can boost efficiency and automation while emphasizing the importance of human decision-making and personal impact. Jeri shares her optimism about the future, where individuals will continue to make a difference while using AI as a supportive tool. They also talk about integrating AI into scaling organizations and the significance of personalized decision-making. The conversation touches on the risks of excessive AI dependency and highlights the exciting possibilities and challenges ahead in the AI landscape.

In this episode, Carlos and David Osborne discusses how AI is transforming decision-making in sales and revenue. AI automates tasks, making processes more efficient, and identifies insights faster. It can be a powerful tool for data validation and fact-checking in executive meetings. While AI can influence and augment decisions, it may not fully replace human interaction, especially in areas like sales pitches. Embracing AI is crucial for businesses to stay competitive and adapt to the changing landscape. Data quality and trust are vital considerations when implementing AI.

In this episode, Carlos and Ollie Hughes discuss the world of data trust and intelligent decision-making. Learn about the significance of transparency, collaboration, and flexibility in data teams, driving better outcomes for businesses. Delve into the potential of AI to revolutionize decision-making processes, bridging the gap between governance and self-service analytics. Explore the challenges of data trust in organizations and how fostering trust and ongoing communication can lead to data-informed decisions that empower growth and success.

This episode features Carlos Kemeny interviewing Aditya Varanasi, the founder of Awarity, a company that aims to make world-class advertising accessible to everyone. Aditya and Carlos discuss topics such as privacy and trust, and the role that it plays when it comes to advertising.  They also take time to discuss topics regarding using AI in advertising and the complexities that arise from it. 

In this episode Carlos interviews Chad Greenleaf, the SVP of Client Services at AppsFlyer.  They discuss his experience in building and sustaining world-class customer success teams and how the field is evolving quickly.  Chad emphasizes the need for organizations to find out how they can best measure customer success, as customers expectations are quickly shifting to expect higher and higher quality of service. Leaders need to find a balance between automating certain processes to achieve a high level of efficiency and preserving the unique touch and feel required in client relationships. Decisions on what to automate using AI and other measures require careful consideration.

In this podcast episode, Carlos Kemeny interviews Landon Garner, a marketing guru and representative of Kajeet, a company focused on using technology for social good. Kajeet was founded by two fathers who wanted to address the challenges of enabling their children to use technology safely and responsibly. Initially, they provided cell phones with built-in mobile device management systems, but soon expanded into the education sector to bridge the digital divide and provide controlled access to technology for students. With the onset of the COVID-19 pandemic, Kajeet’s business grew exponentially as the need for remote learning solutions increased. They have since expanded their mission to other areas, including tribal communities, higher education, and healthcare. Kajeet aims to provide connected technology solutions that go beyond generating revenue and profit by focusing on creating positive impacts and fostering responsible decision-making.

In this podcast episode, Carlos Kemeny interviews Justin Betteridge, who co-founded Solvvy during their time at Carnegie Mellon University. Justin shares his journey from studying language technologies and natural language processing to his decision to start a company.  From early machine learning to the latest AI Language models, Carlos and Justin give insight into how it will impact daily decision-making.

This episode’s guest Dr. Enes Hosgor is driven by his experiences in regulated industries and a desire to move beyond "toy algorithms" in medical AI. He stresses the importance of investing in infrastructure to address the challenges of generalizability and reproducibility in real-world applications. In his article on bias in medical AI, Enes highlights the need for novel regulatory approaches that allow stakeholders, including physicians and healthcare systems, to understand and trust AI predictions without requiring extensive technical expertise. Enes also discusses the challenges of defining regulatory boundaries around AI models and the iterative nature of incorporating relevant data.

Welcome to the AI Decision Guy podcast, hosted by Dr. Carlos Kemeny, where the focus is on the intersection of artificial intelligence and human decision-making.

In this episode, Dr. Kemeny is joined by Tyler Folkman, the Chief Technology and AI Officer at BENlabs. Tyler's expertise lies in applying machine learning to revolutionize the creator entertainment and marketing industries. He has been recognized for his work and has multiple patents in entity resolution and knowledge extraction from unstructured data.

Tyler shares his journey into AI, starting with his background in economics and statistical modeling, which eventually led him to explore machine learning and its potential for making better predictions. He highlights the importance of leveraging data intelligently to drive better decision-making and create enhanced products and experiences.

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