Disambiguation

In this episode of the Disambiguation Podcast, host Michael Fauscette welcomes Michael Azoff, Chief Analyst at Omdia and author of "Toward Human-Level AI." Together, they explore the fascinating journey towards achieving human-level artificial intelligence (AI) and the significant gaps that still exist between current AI capabilities and true human-like intelligence.

Michael Azoff shares his insights on the challenges facing AI, including the limitations of large language models, the importance of inner motivation, and the role of embodied intelligence. They discuss how advancements in neuroscience can inspire the next generation of AI and the potential implications for businesses and society as a whole.

Tune in to discover:

The key characteristics that define human-level intelligence

The impact of neuroscience on AI development

The exciting and concerning use cases of AI in various sectors

The future of AI, including the potential of neuromorphic computing and agentic AI

Don't miss this thought-provoking conversation that delves into the intersection of technology, neuroscience, and the future of work!

Michael Azoff recommends: Dr Angie Ma, co-founder of faculty.ai

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For more research on AI and other software, visit arianeresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected].

Join us next week for another enlightening episode!

Welcome to the December edition of AI Pulse on the Disambiguation Podcast! Join your host, Michael Fauscette, and co-host Tom Pringle, Director of Pilot Research, as they dive into the latest news and trends in artificial intelligence, generative AI, and business automation.

In this episode, we discuss:

The recent integration of ChatGPT with Siri and its implications for the tech landscape.

The ongoing debate around DIY AI versus purchasing AI solutions, and the future of specialized models.

Insights from the latest OpenAI announcements, including the launch of Sora Turbo and its impact on video generation.

The potential dangers of AI technology, including the use of autonomous robots in law enforcement and military applications.

A look at the importance of regulation in the rapidly evolving AI space.

Platformer blog post referenced in the episode: https://www.platformer.news/ai-skeptics-gary-marcus-curve-conference/

As we wrap up Season 2, we also share some exciting updates about what's coming in Season 3, including a potential midweek AI-generated podcast and a special surprise for our listeners!

Don't forget to like, share, and subscribe to stay updated on all things AI. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected].

Happy holidays, and we look forward to seeing you next month for a new season and new episodes of AI Pulse!

Welcome to this episode of Disambiguation, hosted by Michael Fauscette! In this insightful discussion, we dive deep into the world of artificial intelligence and its transformative impact on project management, particularly through the lens of Deltek's innovative AI assistant, DELA.

Join us as we welcome back Warren Linscott, SVP of Product Strategy at Deltek, who shares exciting updates on how DELA has evolved over the past year. Discover the key capabilities of DELA, including smart summaries, intelligent search and retrieval, task automation, and anomaly detection. Learn how these features empower project-based businesses to drive competitive advantage and streamline operations.

We also explore the challenges of AI adoption in small to mid-sized businesses, the importance of building trust in AI tools, and how leaders can effectively embrace these technologies to enhance productivity and attract the next generation of talent.

Whether you're a business leader, project manager, or simply interested in the future of AI in business, this episode is packed with valuable insights and practical advice. Don't miss out!

Key Topics:-The evolution of Deltek's AI assistant, DELA
-Key capabilities and benefits for project-based businesses
-AI adoption challenges and strategies for overcoming them
-The future of work and the expectations of Gen Z and millennials

Recommended Resource:Jason Dorsey, a thought leader on generational dynamics in the workplace.

Tune in now to learn how AI can revolutionize your project management processes!

Welcome to this episode of Disambiguation! Join host Michael Fauscette as he dives deep into the world of AI, generative AI, and business automation with expert guest Asim Rizvi, founder and CEO of Momba AI.

In this episode, we explore the concept of orchestrating innovation and how AI is empowering knowledge workers. Asim shares his extensive experience in the technology and innovation space, discussing the evolution of AI value tiers, the significance of agentic AI, and the future of application innovation.Key topics include:
-The role of hardware, language models, and applications in AI development
-The commoditization of language models and the promise of the application layer
-The importance of a human-centric approach to user experience in AI applications
-How agentic AI can reshape knowledge work, allowing workers to become orchestrators rather than just executors
-Insights into the future of AI funding and the potential for innovation in the application layer

Tune in to gain valuable insights on how businesses can leverage AI for maximum impact and prepare for the future of work!

Don't forget to like, subscribe, and hit the notification bell for more episodes on AI and business automation!

In this episode of Disambiguation, co-hosted with Tom Pringle, we dive into the November edition of AI Pulse, where we explore the latest developments in AI, generative AI, and business automation. We discuss the current state of AI news, noting a slight decrease in dramatic headlines compared to previous cycles, which may indicate a maturation of the industry.

Michael shares insights from his recent work on language models, highlighting the emergence of industry-specific models from Microsoft and Google's new developments in large language models that mimic smaller models' efficiency. We delve into the concept of Relaxed Recursive Transformers (RPTs) and their potential to optimize resource usage.

The conversation shifts to the importance of model specificity, particularly in business processes, where tailored models can enhance productivity. We also touch on the intriguing idea of large behavior models (LBMs) that focus on understanding human emotions, which could revolutionize customer service interactions.

As we navigate through the implications of AI in business, we consider the balance between structured and unstructured activities, emphasizing the need for human creativity in decision-making processes. We also discuss the ongoing interest from venture capitalists in AI startups, with significant funding rounds indicating a robust future for AI innovation.

Overall, this episode provides a comprehensive overview of the current AI landscape, the challenges and opportunities it presents, and the critical role of human insight in leveraging these technologies effectively. Join us as we unpack these topics and more in our ongoing exploration of AI's impact on business.

In this episode of Disambiguation I introduce a unique format where we dive into the AI Trends for 2025, based on our recently published research brief from Arion Research. Instead of presenting the findings myself, I feature an engaging interview with Avatar co-hosts Julia and Joshua, who explore twelve major trends shaping the future of AI.

We kick off with the rise of specialized language models, which are fine-tuned for specific industries like healthcare and law, enhancing efficiency and accuracy. The conversation then shifts to large action models, capable of not just analyzing data but also taking real-time actions, revolutionizing how AI interacts with complex processes.

Next, we discuss liquid foundation models, which are dynamic and continuously learning, contrasting with traditional static models. The episode also highlights the growing importance of decision intelligence and predictive analytics, showcasing AI's potential in various sectors, including healthcare and finance.

As we delve deeper, we explore autonomous agents, which can operate with minimal human intervention, raising questions about the future of the workforce. We also touch on multimodal and multitask models that can process various data types simultaneously, enhancing customer service experiences.

Ethical considerations are paramount as we discuss responsible and explainable AI, alongside the need for regulations to ensure AI development aligns with human values. The episode further examines AI-powered personalization in B2B environments and the innovative use of synthetic data to protect privacy.

We conclude with a look at edge AI, which brings processing power closer to the data source, and the importance of sustainable AI practices to minimize environmental impact. Throughout the discussion, we emphasize the need for workforce development to adapt to the evolving job landscape shaped by AI.

Read the Research Brief: https://www.arionresearch.com/research-briefs/ai-trends-for-2025

In this episode of Disambiguation, I had the pleasure of speaking with Ranjitha Kumar, Chief Research Scientist at UserTesting. We delved into the exciting intersection of AI and customer experience research, particularly focusing on how large language models (LLMs) are transforming the way we gather and analyze user feedback.

Ranjitha shared insights into her role at User Testing, where she leads the AI product strategy. We discussed the various stages of customer experience research where AI can play a pivotal role—from creating tests and identifying target users to analyzing results and contextualizing findings within a broader dataset. The conversation highlighted the challenges of integrating AI, especially when dealing with multimodal data streams that include both explicit feedback, like survey responses, and implicit feedback, such as clickstream data.

One of the key takeaways was the potential for AI to enhance qualitative research by providing deeper insights into user emotions and behaviors. Ranjitha emphasized the importance of human oversight in the AI process, ensuring that researchers can verify AI-generated insights against raw data to avoid misinformation.

We also explored the future of AI in this space, envisioning a seamless integration of qualitative and quantitative research methodologies. Ranjitha discussed the potential for AI to not only analyze data but also generate design alternatives, creating a holistic system for optimizing digital experiences.

As we wrapped up, Ranjitha recommended the People Plus AI research website from Google, which offers valuable guidelines for user-centered machine learning. This episode provided a fascinating look at how AI is reshaping customer experience research and the exciting possibilities that lie ahead.

Thank you for joining us, and I hope you found this discussion as enlightening as I did! Don't forget to subscribe and leave a rating if you enjoyed the show.

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!

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!

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.