What’s the BUZZ? — AI in Business

Quentin Reul, Founder and Chief AI Officer, discusses pivotal challenges in Generative AI. He reveals how businesses can leverage their data to stand out amidst the evolving AI landscape. Topics include the differences between Generative AI and traditional models, the complexities of selecting the right tools, and the importance of fine-tuning large language models. Quentin emphasizes focusing on customer needs and navigating the regulatory environment to enhance AI effectiveness, ensuring that data remains a strong competitive advantage.

In this episode, Lasse Rindom (AI Lead, BASICO) and Andreas Welsch discuss leveraging the AI hype and disillusionment to drive business impact. Lasse shares his story from previous hype cycles in Automation and AI to the latest one of Generative AI and provides valuable advice for listeners looking to get actionable insights into driving AI adoption in their business.Key topics:- Assess the current AI adoption phase in the market between AI hype and disillusionment- Leverage the Generative AI momentum to drive business impact- Evaluate analysts’ forecasts to continue the AI momentum in business and focus on promising areas- Decide why to continue investing in AI solutions for business growthListen to the full episode to hear how you can:- Focus on delivering business value through AI and automation rather than fixating on Generative AI as a technology- Provide tangible examples and training for employees to become skilled users of AI-enhanced tools- Drive AI innovation while understanding and mitigating the risks- Countries like Denmark are leading the way in exploring Digitalization and AI, and are actively driving adoptionWatch this episode on YouTube:https://youtu.be/87N5dQ7_RQkQuestions 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.Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.comMore details: https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcastGet a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter

In this episode, Marek Kowalkiewicz (Professor & Author) and Andreas Welsch discuss how AI agents will change the way we work. Marek shares his insights on the economy of algorithms that guide our everyday lives and provides valuable advice for listeners looking to learn how AI agents will shape our workplace.Key topics:- Describe the evolution from manual to digital and AI labor- Anticipate change in business functions because of increased AI- Support your business teams to prepare for a shift towards AI labor- Share examples of algorithmic decision-makingListen to the full episode to hear how you can:- Anticipate AI algorithms influencing our behavior just as much as we influence theirs- Expect colleagues will assume you have used AI, even when you have created it yourself- Learn to collaborate with AI and AI agents to improve results- Encourage employees to use Generative AI and share their approach with peersWatch this episode on YouTube:https://youtu.be/0uEEXP_tL2AQuestions 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.Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.comMore details: https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcastGet a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter

In this episode, Pedro Berrocoso (Digital Procurement & Automation Advisor) and Andreas Welsch explore Generative AI in Procurement. Pedro shares example) on leveraging the latest generation of AI in Procurement and provides valuable advice for listeners looking to identify opportunities for leveraging this technology in their own business.Key topics:- Assess the Generative AI opportunities in Procurement- Learn from a tangible example of adopting Generative AI and the associated challenges- Anticipate AI agents that autonomously negotiate on behalf of a supplier and a customer- Prepare Procurement leaders to explore using Generative AIListen to the full episode to hear how you can:- Determine Generative AI’s potential within Procurement along 4 pillars- Apply Generative AI selectively to address specific pain points in your source-to-pay process- Promote trust, acceptance, and adoption of the AI solutions that you deploy- Establish basic AI literacy within your Procurement organization, as your suppliers will leverage the technology when sending you informationWatch this episode on YouTube:https://youtu.be/1SX-_OzkfWYQuestions 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.Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.comMore details: https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcastGet a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter

In this episode, Mark Beccue (Independent Market Analyst) and Andreas Welsch cut through the Generative AI hype. Mark shares examples of B2B software vendors leading the Generative AI development and adoption based on past learnings, and provides valuable advice for listeners looking to ascertain where the AI market is going.Key topics:- Assess the current phase of AI adoption between AI hype and disillusionment- Recognize software vendors’  sound AI strategy and what they do they do well for their customers- Evaluate commercial models that resonate the most with B2B buyers (transaction- or user-based)- Anticipate where Generative AI go within the next 6 monthsListen to the full episode to hear how you can:- Follow incumbents in the software industry who have learned from and improved after the machine learning hype - Glean at responsible AI practices and operationalization by industry leaders for your own business- Start with a business problem first before chasing technologies such as Generative AI- Keep AI projects pragmatic to avoid disillusionmentWatch this episode on YouTube:https://youtu.be/d2ME8t5I6agQuestions 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.Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.comMore details: https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcastGet a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter

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 AIListen 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 contributionWatch this episode on YouTube:https://youtu.be/C_GlTgRmeL8Questions 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.Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.comMore details: https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcastGet 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 graphsListen 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 agentsWatch this episode on YouTube:https://youtu.be/_E4YS-ypS9IQuestions 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.Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.comMore details: https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcastGet a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter

Senior AI CoE Leader, Srujana Kaddevarmuth, discusses scaling enterprise AI products, applying a product mindset, raising awareness of AI risks in deployment, deciding between Machine Learning and Generative AI, and increasing diversity for inclusive results. Topics include data democratization, data wrapper creation, edge AI, energy consumption, and building inclusive AI products for societal impact.

Kence Anderson, Founder & Machine Teaching Expert, discusses preparing AI agents for enterprise decision-making. Topics include machine teaching, complex reasoning, and building high-performance AI systems. Learn about data understanding, deep reinforcement learning, and creating hybrid business-technology teams for AI products.

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 manufacturingListen 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 forecastingWatch this episode on YouTube:https://youtu.be/i5lwGFvYU_cQuestions 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.Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.comMore details: https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcastGet a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter