October 2024 AI Pulse

10/21/24 • 47 min

Welcome to the October edition of AI Pulse on the Disambiguation Podcast! Join your host, Michael Fauscette, and co-host Tom Pringle as they dive into the latest trends and developments in AI, generative AI, and business automation.
In this episode, we explore:-The recent funding round for OpenAI and its implications for the AI landscape.
-The dominance of generative AI in venture capital funding, with 40% of all VC funding going to generative AI startups.
-The emergence of liquid foundation models and their potential to revolutionize AI training and efficiency.
-The impact of NVIDIA's Blackwell GPU and the challenges of supply in the tech industry.
-The fascinating concept of autonomous agents and their role in enhancing customer service and decision-making processes.
-A light-hearted discussion about a new AI technology that allows dogs to communicate with their owners.
Tune in for an engaging conversation filled with insights, predictions, and a touch of humor as we navigate the rapidly evolving world of AI. Don't forget to subscribe and leave us a five-star rating if you enjoy the show!
For more on AI and other software research reports, check out arionresearch.com. If you have expertise in AI, generative AI, or business automation, email us at [email protected] to be a guest on our show!

Previous Episode

Info-Tech Tech Trends 2025

In this episode of Disambiguation, I had the pleasure of speaking with Brian Jackson, Principal Research Director at Info-Tech Research Group, about their TechTrends 2025 report. We discuss the evolving role of CIOs, particularly in the context of AI, and discussed the concept of "simulated futures," which emphasizes the need for IT leaders to transition from merely recording data to forecasting and strategizing for the future.
Brian highlighted the shift in generative AI from a consumer tool to a systemic component of enterprise applications, emphasizing the importance of integrating AI into various business processes. We explored the challenges organizations face in scaling AI effectively, including the need for AI sovereignty, which involves maintaining control over data, quality, and costs.We also touched on the emerging trend of AI avatars in customer service and internal use cases, showcasing how these digital humans can enhance user interactions. However, we acknowledged the risks associated with deepfakes and discussed potential strategies for organizations to combat misinformation.
Additionally, we examined the importance of specialized AI models tailored to specific industries, with examples from the legal and pharmaceutical sectors. Brian shared insights on how companies can manage their investments in AI to foster innovation while keeping costs in check.
Finally, we addressed the looming threat of quantum computing and the necessity for organizations to prepare for post-quantum cryptography to safeguard their data. Brian's recommendations for IT leaders included prioritizing information security and developing a proactive plan for transitioning to quantum-resistant encryption.
Brain recommends: Ralph Stacey
Overall, this episode provided valuable insights into the future of AI in business and the critical steps organizations must take to navigate this rapidly changing landscape. Thank you for joining us, and I encourage you to check out the full report for more in-depth analysis.

Next Episode

Harnessing AI for Competitive Advantage: A Responsible Approach

In this episode of Disambiguation, I had the pleasure of speaking with Rohan Sen, a data risk and privacy principal at PricewaterhouseCoopers US. Our discussion centered around the critical topic of responsible AI, a subject that is increasingly top of mind for business leaders as they navigate the complexities of AI adoption.
Rohan provided insights from a recent Responsible AI survey, which revealed that while a significant number of executives are adopting AI technologies, many are still grappling with the associated risks and governance challenges. Notably, only 58% of respondents had considered these risks, and a mere 14% felt they had made substantial progress in implementing responsible AI practices.
We explored the biggest challenges organizations face in establishing a responsible AI governance framework, including the lack of clarity around ownership and the need for effective stakeholder engagement. Rohan emphasized the importance of data quality and governance as foundational elements for successful AI initiatives.
Trust emerged as a recurring theme in our conversation. Rohan highlighted that building trust in AI requires transparency and a commitment to responsible practices. He also discussed how organizations can leverage responsible AI to gain a competitive advantage by demonstrating their commitment to ethical practices and stakeholder interests.
As we looked to the future, Rohan predicted that organizations would need to operationalize their responsible AI efforts and rethink their processes to fully harness the potential of AI technologies. He also recommended following thought leaders like Professor Ethan Malik for further insights into generative AI.
Overall, this episode provided valuable perspectives on the journey toward responsible AI, the importance of governance, and the need for organizations to adapt to the evolving landscape of AI technologies. Thank you for joining us, and I hope you found this discussion as enlightening as I did!

Disambiguation - October 2024 AI Pulse

Transcript

Michael Fauscette:

Welcome to Disambiguation. I'm your host, Michael Fauscette. Each week we interview experts in AI, generative AI, and business automation to help business leaders understand how to use these tools for the biggest business impact. Our show today is the October edition of AI Pulse. I'm joined by co-host Tom Pringle, director of pilot research. Tom, good to have a good conversation again. I'm looking forward to it.

Tom Pringle:

It should be fun. I'm willing to