🎙️ Welcome to this best of episode of the Disambiguation Podcast, “AI Governance, Compliance and Regulation”.
🌟 Our special guest Jacob Beswick, Director of AI Governance Solutions at Dataiku.  
🔍 In this episode, we discuss:-How AI governance ensures ethical and responsible use of artificial intelligence.-The key challenges in regulating AI technologies.-How AI compliance frameworks can be developed to address the unique risks and concerns associated with AI.-What role government plays in regulating AI, and the potential benefits and drawbacks of government intervention.-How AI compliance and regulation can keep up with the rapid pace of technological advancements.-The potential consequences of inadequate AI governance and compliance.-How organizations can ensure transparency and accountability in their AI systems to comply with regulations.

🎙️ Welcome to this episode of the Disambiguation Podcast, “AI Pulse”.
🌟 Our special guest and co-host, Tom Pringle, Principal at Pilot Research..  
🔍 In this episode, we discuss:-Mistral AI Series B Funding-Apple’s WWDC 2024 AI Announcements-What does Apple’s AI enhancements to the iPhone do to the AI device market?-Stability AI launches Stable Diffusion 3, its ‘most sophisticated image generation model yet’ - The model can generate photorealistic images on consumer systems.-The impact on the rapidly evolving capabilities of generative AI in software coding on developers, SaaS companies, and businesses.-How analysts and analyst firms can help businesses find the “right fit” AI solutions.

🎙️ Welcome to this episode of the Disambiguation Podcast, “A Systemic Approach to Business AI”.
🌟 Our special guest, Raju Vegesna, Zoho.  
🔍 In this episode, we discuss:-How Zoho is thinking about AI / genAI and how it’s positioning itself in the market.
-What a systemic approach to business AI and why is it important for modern enterprises.
-The key considerations for businesses when strategically implementing AI across their operations. 
-How companies can effectively integrate AI into their existing systems and processes without causing significant disruptions.
-Common challenges companies face when adopting AI, and what strategies they can employ to overcome these obstacles.
-How businesses should measure the success and impact of their AI initiatives and what metrics or KPIs are most indicative of AI effectiveness.
-What the ethical considerations are that businesses must keep in mind when deploying AI solutions, and how can they ensure responsible use.
-Advice to business leaders who are just starting their journey with AI and the common pitfalls they should avoid.

🎙️ Welcome to this episode of the Disambiguation Podcast, “Enterprise AI”.
🌟 Our special guest, John Taschek, Chief Market Strategy officer, Salesforce. 
🔍 In this episode, we discuss:-How Salesforce is thinking about AI / genAI and how it’s positioning itself in the market-The specific areas or functionalities Salesforce focusing on to differentiate itself in the market-How Salesforce is addressing ethical concerns around bias and potential misuse issues and ensuring responsible development and deployment of this technology. -How Salesforce is making its AI and generative AI tools accessible and transparent for both developers and everyday users.-How Salesforce is using AI and genAI internally.-Specific examples of how Salesforce is leveraging generative AI to enhance different parts of its customer journey.-How Salesforce is preparing its employees and customers to work effectively with these new technologies.

🎙️ Welcome to this episode of the Disambiguation Podcast, “Precision Diagnostics and the use of AI”.
🌟 Our special guest, Morris Panner, President, Intelerad Medical Systems.  
🔍 In this episode, we discuss:-An overview of how AI and generative AI are currently being used in healthcare imaging and diagnosis.-The most significant breakthroughs in AI-driven medical imaging.-How AI algorithms enhance the accuracy and efficiency of detecting diseases in medical images compared to traditional methods.-The role of generative AI in improving image quality and creating synthetic medical images for training purposes.-The biggest challenges and limitations in implementing AI and generative AI in healthcare imaging today.-How you address concerns related to data privacy, security, and ethical considerations when developing and deploying AI systems in healthcare.-Future advancements in the field of AI and generative AI for medical imaging over the next five to ten years.

🎙️ Welcome to this episode of the Disambiguation Podcast, “Responsible AI in Education”. 
🌟 Our special guest, Lydia Smyers, VP of US Education, Microsoft.  
🔍 In this episode, we discuss:
-Microsoft Education’s vision for how AI can be used responsibly to enhance learning experiences for all students.-How Microsoft Education approaches AI tools as assistants to enhance educator effectiveness without diminishing their role.-How Microsoft Education is ensuring AI in education complements, rather than hinders, the development of social-emotional learning and critical thinking skills.-How Microsoft Education is making AI-powered educational tools accessible and affordable for all schools.-The ways institutions can use AI and other new tech to improve the student experience. -The measures Microsoft Education takes to ensure student data used in AI is secure and used ethically.-How Microsoft Education is making AI tools for educators more transparent, understandable, and dealing with potential biases in the data.

🎙️ Welcome to this episode of the Disambiguation Podcast, “An Interview with OpenAI’s ChatGPT-4 (and Alex the avatar)”.
🌟 Our special guest, OpenAI’s ChatGPT-4 voiced by Alex the Avatar.  
🔍 In this episode, we discuss:
-Generative AI.-Explain what a generative AI chatbot is and how it differs from traditional chatbots.-How you generate responses and how you ensure they are accurate and relevant.-The types of data you are trained on, and how this affects the answers you provide.-Describe a typical use case of generative AI in customer service.-How generative AI is being used to streamline operations and decision-making in businesses.-What measures are implemented to handle ethical concerns and biases in AI-generated responses.-What the limitations of current AI technology are, and how developers address these challenges.-What some of the emerging applications of generative AI are that businesses should be aware of in the future.

🎙️ Welcome to this episode of the Disambiguation Podcast, “An Interview with Google Gemini (and Rosie the avatar)”.
🌟 Our special guest, Google Gemini Pro voiced by Rosie the Avatar.  
🔍 In this episode, we discuss:
-Generative AI.-Explain what a generative AI chatbot is and how it differs from traditional chatbots.-How you generate responses and how you ensure they are accurate and relevant.-The types of data you are trained on, and how this affects the answers you provide.-Describe a typical use case of generative AI in customer service.-How generative AI is being used to streamline operations and decision-making in businesses.-What measures are implemented to handle ethical concerns and biases in AI-generated responses.-What the limitations of current AI technology are, and how developers address these challenges.-What some of the emerging applications of generative AI are that businesses should be aware of in the future.

🎙️ Welcome to this episode of the Disambiguation Podcast, “Brand Consistency and Generative AI in Design”.
🌟 Our special guests, Cathy Clarke, co-founder and COO, and Lee Swearingen, co-founder and CDO, DXM.  
🔍 In this episode, we discuss:
-Why consistency in brand content is important.-How brand consistency has historically been achieved in creative content development for marketers.-How AI is changing the creative content process for marketing.-The pros and cons of using AI to generate content today.-Brand risks associated with these new AI-enabled processes.-How DXM addresses the opportunities of using AI while solving the problem of on-brand content consistency.-Why DXM’s agent-driven platform is a better approach for marketers.-Customer examples of how companies are using the DXM platform for content / design.

🎙️ Welcome to this episode of the Disambiguation Podcast, “Empowering Everyone: Building Business AI with Low-Code/No-Code Studios”.
🌟 Our special guest, Vinay Balasubramaniam, VP Product Management, Einstein Copilot, Salesforce.  
🔍 In this episode, we discuss:
-The driving reason that so many enterprise vendors are launching their version of an AI studio.-The potential benefits and drawbacks of democratizing AI development with low-code / no-code AI studios.-How businesses should think about struggling with data silos due to lack of integrated applications and an ever growing number of data sources, and how can they overcome them to enable the use of an AI studio.-How companies can use generative AI tools, LLMs, etc. and protect customer data at the same time.-How AI assistants are evolving beyond basic tasks like setting appointments or drafting email responses to become more integrated into our daily work routines and how that will impact our lives.-How someone with minimal coding experience can use AI studios to configure AI assistants and chatbots and build applications specifically designed for AI assistants.-Some real-world examples of how AI virtual assistants and low-code/no-code AI studios are being used to create innovative business solutions.