What’s the BUZZ? — AI in Business – Details, episodes & analysis

In this episode, Nicole Wieberneit (Sales & Go-To-Market Leader) and Andreas Welsch discuss scaling go-to-market (GTM) for enterprise Generative AI. Nicole shares her approach to introducing technology innovations such as AI to sales teams, and provides valuable advice for listeners looking to scale their product sales through an enabled and engaged sales force.

Key topics:
- Be aware of marketing and sales' frequent reputation as overhyping capabilities or being overly shallow
- Approach GTM design for AI differently from traditional SaaS
- Balance product knowledge and depth with sales teams’ quarterly incentives
- Adapt incentive structures within a software company for sales teams to become a true advisor to customers
- Focus on vertical markets for AI SaaS

Listen to the full episode to hear how you can:
- Focus on a product, industry, or region to maximize your impact
- Articulate the problem you solve and build your pitch around it
- Understand your target buyer before creating your sales orchestration
- Test, experiment, and be open to feedback and adjustments

Watch this episode on YouTube:
https://youtu.be/sa-fW3iee5Y

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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.

Level up your AI Leadership game with the AI Leadership Handbook:
https://www.aileadershiphandbook.com

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In this episode, Steve Wilson (Co-Lead OWASP Top 10 for LLM Apps & Author) and Andreas Welsch discuss red-teaming and safeguards for LLM applications. Steve shares his insights how Generative AI vulnerabilities have evolved from embarrassing to financially risky and provides valuable advice for listeners looking to improve the security of their Generative AI applications.

Key topics:
- One year after OWASP Top 10 for LLM apps, how have LLM security and vulnerabilities evolved?
- How do you build Generative AI safeguards into your app? What’s the impact on cost for checking and regenerating output?
- How can you red-team your LLM apps?
- Which roles or skillsets are best suited to improve security?

Listen to this episode and learn how to:
- Become aware of new ways bad actors can exploit your LLM-based apps and assistants (prompt injection, supply chain attack, data exfiltration, etc.)
- Understand the characteristics of your LLM supply chain and new vulnerabilities
- Consider the implications of using agents on your security

Watch this episode on YouTube:
https://youtu.be/Rpp7u93mDfM

Questions or suggestions? Send me a Text Message.

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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.

Level up your AI Leadership game with the AI Leadership Handbook:
https://www.aileadershiphandbook.com

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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.

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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.

Level up your AI Leadership game with the AI Leadership Handbook:
https://www.aileadershiphandbook.com

More details:
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All episodes:
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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.

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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.

Level up your AI Leadership game with the AI Leadership Handbook:
https://www.aileadershiphandbook.com

More details:
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All episodes:
https://www.intelligence-briefing.com/podcast
Get a weekly thought-provoking post in your inbox:
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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.

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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.

Level up your AI Leadership game with the AI Leadership Handbook:
https://www.aileadershiphandbook.com

More details:
https://www.intelligence-briefing.com
All episodes:
https://www.intelligence-briefing.com/podcast
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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.

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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.

Level up your AI Leadership game with the AI Leadership Handbook:
https://www.aileadershiphandbook.com

More details:
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All episodes:
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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.

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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.

Level up your AI Leadership game with the AI Leadership Handbook:
https://www.aileadershiphandbook.com

More details:
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All episodes:
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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.

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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.

Level up your AI Leadership game with the AI Leadership Handbook:
https://www.aileadershiphandbook.com

More details:
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All episodes:
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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

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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.

Level up your AI Leadership game with the AI Leadership Handbook:
https://www.aileadershiphandbook.com

More details:
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All episodes:
https://www.intelligence-briefing.com/podcast
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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.

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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.

Level up your AI Leadership game with the AI Leadership Handbook:
https://www.aileadershiphandbook.com

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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