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 months

Listen 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 disillusionment

Watch this episode on YouTube:
https://youtu.be/d2ME8t5I6ag

Questions or suggestions? Send me a Text Message.

Support the Show.

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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.

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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:
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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