What’s the BUZZ? — AI in Business

In this episode, Jonas Christensen (Senior Data & Analytics Leader) and Andreas Welsch discuss adopting a data-centric Machine Learning approach for small datasets. Jonas shares learnings on improving data quality before building models and provides valuable advice for listeners looking to improve their results with small data sets. Key topics: - Describe the common challenges businesses still run into with Machine Learning - Evaluate options for working with small data sets - Advise data scientists to get more data and better data - Deliver business value from Machine Learning at a time when everybody wants to chase Generative AI Listen to the full episode to hear how you can: - Work toward better data quality over improving your model parameters - Approach data science as a team sport that requires actively influencing your business stakeholders - Share with your stakeholders how you use the data downstream to get them excited about their contribution Watch this episode on YouTube: https://youtu.be/C_GlTgRmeL8 Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Jeremy Ravenel (Founder naas.ai) and Andreas Welsch discuss building AI agents for business with a mixture of assistants. Jeremy shares his journey from corporate finance to building a technology platform for AI agents and provides valuable insight) for listeners looking to increase efficiencies in their business with the help of AI agents that act as personal assistants. Key topics: - Learn why businesses need a specialized kind of intelligence - Assess when AI agents useful in business - Enhance AI apps with knowledge graphs Listen to the full episode to hear how you can: - Be skeptical about the output that LLMs create - Map your internal knowledge with a knowledge graph to make it accessible to LLMs and AI agents - Describe your business in processes and workflows to spot potential areas for using AI agents Watch this episode on YouTube: https://youtu.be/_E4YS-ypS9I Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Srujana Kaddevarmuth (Senior AI CoE Leader) and Andreas Welsch discuss scaling enterprise AI products across the business. Srujana shares her insights on applying a product mindset to building AI capabilities and provides valuable advice for listeners looking to scale their AI applications across the enterprise. Key topics: - Productize AI capabilities through a holistic approach from idea to improvement - Raise awareness of the risks and nuances of deploying AI in the enterprise - Decide when to use Machine Learning and Generative AI — individually and together - Increase diversity on your AI product team for more inclusive results Listen to the full episode to hear how you can: - Apply a product mindset to data democratization and AI productization in your organization - Raise awareness for the risks associated with productizing AI, ranging from biases to permitted vs. prohibited use cases - Celebrate and intentionally build diversity in your organization to build products that can be useful and acceptable by the different sections of society Watch this episode on YouTube: https://youtu.be/goysDB00D9s Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Kence Anderson (Founder & Machine Teaching Expert) and Andreas Welsch discuss how you can determine if your AI agents are ready for enterprise decision-making. Kence shares his learnings on building autonomous AI agents for top Fortune 500 companies and provides valuable advice for listeners looking to get started with agents in their business. Key topics: - Understand the prerequisites of complex agents - Learn when to apply machine teaching for agents - Differentiate between simple tasks and complex reasoning - Get tips for getting started with agents Listen to the full episode to hear how you can: - Teach high-performance AI systems for increased quality and trust of decision-making - Build a foundational understanding of data, LLMs, deep reinforcement learning, optimization, and software architecture - Compose AI agents with technology-independent building blocks - Create hybrid teams of business and technology experts for maximum relevance of AI products Watch this episode on YouTube: https://youtu.be/Ev0sYU3tFS0 Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Philippe Rambach (Chief AI Officer, Schneider Electric) and Andreas Welsch discuss driving sustainability and energy efficiency with AI leadership. Philippe shares (their story/journey/insights/perspective/learnings/examples) on (specific aspect of topic) and provides valuable (advice/tips/insights) for listeners looking to (achieve specific outcome/learn more about topic). Key topics: - Get support for AI projects within your company - Prioritize AI scenarios based on business value and momentum-building - Anticipate future expected energy use for AI and its impact - Seize opportunities for AI in manufacturing Listen to the full episode to hear how you can: - Start from business value instead of the AI technology - AI can optimize energy consumption and lower carbon emissions depending upon its use case - Select AI technology based on cost and emissions - Machine Learning remains highly relevant for processing structured data and forecasting Watch this episode on YouTube: https://youtu.be/i5lwGFvYU_c Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Randy Bean (Founder, Data & AI Leadership Exchange) and Andreas Welsch discuss going beyond quick-win use cases for Generative AI. Randy shares perspective on data and AI leadership, spanning more than 35 years of experience in the industry, and provides valuable advice for listeners looking to move from quick wins to strategic AI programs in business. Key topics: - See the parallels (good and bad) between the Generative AI and Machine Learning hype? - Determine the top kinds of Generative AI use cases for organizations - Learn about the next wave after the quick-win use cases (generation, summarization, coding, …)? - Prepare for the biggest challenges that AI leaders face Listen to the full episode to hear how you can: - Address leaders’ exaggerated AI enthusiasm and pessimism - Get key results from long-running Fortune 1000 data & AI survey - Learn how Generative AI can support healthcare staff with compassionate medical notes - Manage expectations with a realistic and pragmatic mindset Watch this episode on YouTube: https://youtu.be/wZc8HaSWw-s Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Elizabeth M. Adams (Leader of Responsible AI) and Andreas Welsch discuss increasing engagement in Responsible AI programs. Elizabeth shares findings from her doctoral research on responsible AI engagement in Fortune 10 companies and startups. She provides valuable insights for listeners looking to create effective responsible AI programs within their businesses. Key topics: - Evolution of responsible AI in times of Generative AI - Common barriers to creating an effective responsible AI program - Leadership approach to increasing employee engagement and participation in responsible AI programs - Navigating conversations with employees when their jobs are affected by AI Listen to the full episode to hear how you can: - Develop a responsible AI vision for the organization - Make the vision concrete through AI ethics statements - Ensure employees are aware of AI ethics policies and how they relate to their work - Provide a path to raise stakeholder claims and build trust that claims are addressed Watch this episode on YouTube: https://youtu.be/o7ygYzN6GBE Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Bernard Marr (Futurist & Author) and Andreas Welsch discuss preparing for a future of converging technologies and AI. Bernard shares his insights on the next wave of AI-driven innovation and provides valuable examples for listeners looking to seize opportunities across their business when data, AI, mixed reality, and many more capabilities come together. Key topics: - Learn about the next wave of Generative AI-driven innovation - Hear how modalities, agentic AI, and other technologies converge in the near and distant future - Seize the opportunity for business leaders in traditional industries - Prepare today to set your business up for future success in this environment Listen to the full episode to hear how you can: - See the opportunity of AI for different modalities coming together (e.g. text, audio, video) - Envision the future of your business and what role AI plays in enabling that strategy - Focus on humans and how technology can empower them - Communicate clearly and openly while embracing learning and change Watch this episode on YouTube: https://youtu.be/30YZejRr2aw Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Sadie St. Lawrence (Founder of Women in Data & Human-Machine Collaboration Institute) and Andreas Welsch discuss how leaders can empower women to thrive in Data & AI. Sadie shares her story in data and data science and provides valuable tips for listeners looking to increase overall diversity on their teams in an age where AI needs to serve us all. Key topics: - Understand the tech industry’s gender gap - Identify inhibitors for women’s career growth - Learn how leaders can support women in data & AI - Foster collaboration across diverse teams and backgrounds Listen to the full episode to hear how you can: - Shape organizational culture and lead by example - Understand how in-group and out-group behavior influences engagement - Speak up even if you are in a minority group - Provide space and opportunities for female team members Watch this episode on YouTube: https://youtu.be/ffKFsRwEfIk Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Anthony Alcaraz (Chief Product Officer) and Andreas Welsch discuss supercharging your Retrieval Augmented Generation (RAG) application with a knowledge graph. Anthony shares his experience expanding Generative AI applications and large language models and provides valuable tips for listeners looking to get even more relevant results from their AI applications. Key topics: - Identify shortcomings of Retrieval Augmented Generation (RAG) - Describe a knowledge graph and its purpose - Learn how to build a knowledge graph - Clarify when to use a knowledge graph Listen to the full episode to hear how you can: - Provide context between data sources with a knowledge graph - Gather and prepare qualitative data to build your knowledge graph and AI model on - Treat knowledge graphs as one concept among others in your AI strategy - Start with the business problem and identify the best data sources and methods for solving it Watch this episode on YouTube: https://youtu.be/OSj08YBdQrg Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Carly Taylor (Director of Franchise Security Strategy, Activision/ Call of Duty) and Andreas Welsch discuss strengthening your security against Generative AI hackers. Carly shares examples of Generative AI's use to aid black hat and white hackers in their cat-and-mouse game. Carly provides valuable insights for listeners looking to learn about ways Generative AI is already used today beyond social engineering, phishing, and other cybersecurity threads. Key topics: - Examine the evolving uses of Generative AI and its implications on cybersecurity - Identify black hat activities in AI that leaders should know - Discuss white hat techniques in using Generative AI - Learn how to protect your products and users from AI hackers Listen to the full episode to hear how you can: - Raise awareness for AI-powered cybersecurity threats among employees - Adapt if humans are the weakest link in the security chain - Use Generative AI to detect cybersecurity threats and gather intelligence - Adopt security tools with built-in AI vs. build them from scratch Watch this episode on YouTube: https://youtu.be/hVV24bCGWQE Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, T. Scott Clendaniel (VP & AI Instructor, Analytics-Edge) and Andreas Welsch discuss improving your user experience with Generative AI. Scott shares his perspective on making business applications more accessible with AI and provides valuable tips for listeners looking to get more business value from AI projects. Key topics: - Democratize AI with user-friendly access - Explore LLMs' unexpected UX benefits for business users - Distinguish LLMs from past UX trends - Guide AI leaders on integrating LLMs into applications effectively Listen to the full episode to hear how you can: - Democratize access to LLM-driven insights in natural language - Ask Generative tools for help to improve prompts - View LLMs as a new user interface - Use Generative AI to understand user behavior and preferences Watch this episode on YouTube: https://youtu.be/5HgkawZdihU Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Bill Schmarzo (Professor & Author, Dean of Big Data) and Andreas Welsch discuss preparing your business team for Generative AI. Bill shares his learnings from teaching business teams about data literacy and provides valuable insight) for listeners looking to help their stakeholders develop a better understanding of Data, Artificial Intelligence, and how to best use them in a business context. Key topics: - Discuss the importance of AI and data literacy - Explore ways leaders can empower their teams in AI and data - Identify key partners for AI Centers of Excellence in promoting AI literacy - Learn a leadership trick to boost organizational AI literacy Listen to the full episode to hear how you can: - Understand how your data is being used to personalize information - Demand transparency about AI-driven decisions - Apply a Socratic mindset when using Generative AI and ask questions Watch this episode on YouTube: https://youtu.be/ghVxy23zzpM Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Conor Grennan (Dean of Students, MBA Program & Head of Generative AI, NYU Stern School of Business) and Andreas Welsch discuss how you can stay on top of Generative AI industry news. Conor shares his insights on learning about Generative AI and provides valuable advice for listeners looking to focus on the key AI news for their job and tasks. Key topics: - Decide if businesses need a Head of Generative AI role - Discuss strategies for upskilling students and professionals in AI - Distinguish between must-know AI news and seemingly important updates - Receive tips to stay informed on AI developments Listen to the full episode to hear how you can: - Separate relevant AI news for your role and task from irrelevant noise - Approach Generative AI as a conversational experience vs. a technology tool - Stay ahead with training on ChatGPT, etc. - Find a sparring partner to learn with about Generative AI and how to use it best Watch this episode on YouTube: https://youtu.be/4cRDqsmC19o Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Mark Minevich (Chief Digital AI Strategist & Author) and Andreas Welsch discuss creating a sustainable future with AI. Mark shares his perspective on using artificial intelligence that serves our planet and provides valuable advice for listeners looking to align their AI initiatives with sustainable, ethical AI objectives. Key topics: - Address AI's longevity and opportunities in a world powered by AI - Analyze sustainability in high-resource Generative AI environments - Evaluate ethical and sustainable AI use and its measurable impacts - Implement ethical AI in businesses beyond panels and policies Listen to the full episode to hear how you can: - Focus on sustainability beyond pure productivity gains on an individual business level - Understand how your business’ AI projects contribute to achieving sustainable goals - Ensure AI projects align with ethics and privacy guidelines - Balance Generative AI driven innovation with power consumption Watch this episode on YouTube: https://youtu.be/R8rxQN60eGM Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Andrea Isoni (Chief AI Officer) and Andreas Welsch discuss how you can prepare for the E.U. AI Act. Andrea shares his insights on the upcoming regulation as well as AI-related ISO certifications and provides valuable insights for listeners looking to better understand the impact of regulation on their AI products. Key topics: - Understand E.U. AI Act's impact and protective measures - Prioritize AI leaders' top three essential actions - Discover recent developments in the evolving AI Act - Identify critical regulations, compliance efforts, and standards Listen to the episode to hear how you can: - Determine the risk classification of your AI model - Assess your Generative AI cyber security exposure, potential leaks, and attacks - Decide which kind of governance you need for your AI models based on the new ISO 42001 standard Watch this episode on YouTube: https://youtu.be/uRPjhONR0xU Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Daniel Faggella (Founder, Emerj Research) and Andreas Welsch discuss the big trends and predictions for Generative AI in the enterprise. Daniel shares his insights on Generative AI and provides valuable advice for listeners looking to implement AI in business this year Key topics: - Anticipate key trends for Generative AI in 2024 - Determine focus areas for AI leaders to prioritize AI this year - Drive adoption of AI and Generative AI in your business - Outlook on Generative AI over the next 3-5 years Listen to the full episode to hear how you can: - Understand why established vendors will lead the first wave of Generative AI - Benefit from an increased level of AI fluency within the C-Suite for AI adoption - Assess risk appetite vs. risk aversion within the enterprise - Expect a significant impact of LLMs on work and the economy Watch this episode on YouTube: https://youtu.be/nbDSvfBClqw Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Enrico Santus (Human-AI Collaboration Leader) and Andreas Welsch discuss designing human-AI collaboration for adaptive processes. Enrico shares his experience in balancing the strengths of humans and AI for optimal results in business processes by gaining trust and sharing a long-term vision. Key topics: - Design processes for humans and AI working together - Learn what makes processes adaptive - Understand key challenges when designing systems for human-AI collaboration - Implement principles for effective collaboration Listen to the full episode to hear how you can: - Leverage the strengths of humans and AI - Define AI as a far-reaching goal vs. small projects - Assess complexity, ambiguity, and risk for optimal use of AI - Share long-term goals for using AI to ensure trust and avoid overreliance Watch the full episode: https://youtu.be/R8rxQN60eGM Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Laks Srinivasan (Founder of Institute for Return on AI) and Andreas Welsch discuss how technology leaders can help their business counterparts develop AI literacy. Laks shares his insights on working with leadership teams and provides valuable advice for listeners looking to help their leaders become more familiar with AI. Key topics: - Describe AI Fluency - Identify level AI Fluency of business leaders - Increase AI Fluency of leadership teams Listen to the full episode to hear how you can: - Help leaders become more comfortable with AI - Choose tools and methods to increase AI literacy - Customize enablement program by leader and role Watch this episode on YouTube: https://youtu.be/7OLb0nbMUO0 Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter

In this episode, Mark Stouse (CEO, Proof Analytics) and Andreas Welsch discuss teaching your data scientists about the business. Mark shares his perspective on connecting data science & AI teams with their peers in the business and provides valuable advice for listeners looking to bridge communication gaps, manage expectations, and focus on AI-driven business outcomes. Key topics: - Identify the challenges AI and business teams face when working together - Improve communication between AI and business teams - Understand the impact when data scientists have more context about the business - Learn how AI leaders support their team members to upskill Listen to the full episode to hear how you can: - Develop an understanding of the business context and connect with business leaders - Shift from precision to pragmatism - Deliver business value quickly - Operationalize data science & AI quickly and adapt to the fast-paced business environment Watch this episode on YouTube: https://youtu.be/WE7sopcsFII Questions or suggestions? Send me a Text Message. Support the Show. *********** Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers. More details: https://www.intelligence-briefing.com All episodes: https://www.intelligence-briefing.com/podcast Get a weekly thought-provoking post in your inbox: https://www.intelligence-briefing.com/newsletter