Эпизоды
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In this episode, Bernhard Ritz (CEO & Founder, Ainzel) and Andreas Welsch discuss supercharging your business processes with collaborative AI agents. Bernhard shares his insights on introducing AI agents into business functions and provides valuable advice for listeners looking to elevate their business operations with the help of a virtual team of expert agents.
Key topics:
- Describe the opportunity to bring AI agents into your business processes
- Determine the challenges of bringing AI agents to human-AI teams
- Quantify the value of collaborative AI agents for business functions
- Recommend how to start exploring AI agents
Listen to the full episode to hear how you can:
- Take a business look at AI and re-imagining your business processes
- Learn to work with AI agent frameworks
- Define management as a function spanning humans and AI agents
- Articulate limitations and guardrails for using AI agents
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https://youtu.be/FnkeZMSIbHIQuestions 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.
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In this episode, Jeremy Gilliland (Automation & AI Leader) and Andreas Welsch discuss how Generative AI enables next-level process automation. Jeremy shares his learnings on vendors adding agentic AI to their RPA products and provides valuable advice for listeners looking to explore both technologies together..
Key topics:
- Describe how Generative AI expands traditional RPA
- Assess the potential for IT and Automation leaders when combining technologies
- Leverage both technologies’ advantages when integrating them
- Decide how to start using Generative AI and RPA together
Listen to the full episode to hear how you can:
- Benefit from RPA and Generative AI integration
- Leverage Generative AI agents and RPA for business model transformation
- Minimize dependencies within your tech stack and have an AI and automation platform for increased efficiency
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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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Пропущенные эпизоды?
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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-fW3iee5YQuestions 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:
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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/Rpp7u93mDfMQuestions 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:
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In this special episode, Andreas Welsch launches his new AI Leadership Handbook together with fellow AI leaders:
- Matt Lewis (Founder & CEO, LLMental)
- Brian Evergreen (CEO of The Future Solving Company)
- Maya Mikhailov (Founder & CEO, SAVVI.AI
- Paul Kurchina (Enterprise Architecture Community Leader)
- Harpreet Sahota (Developer Relations Expert)
- Steve Wilson (Chief Product Officer at Exabeam and Co-Author of the OWASP Top 10 for LLM Applications)
Key topics:
- What’s keeping Chief AI Officers up at night?
- What’s the hardest part for new AI leaders coming into an AI leadership role?
- What does a future with AI agents look like?
- How can AI leaders succeed in this phase of AI adoption where we’re just coming off the hype?
- Why do we still need to educate business leaders and stakeholders about AI?
- Why is AI here to stay this time and why should IT teams and CoEs care?
- How has RAG evolved over the last 12 months?
- How does data play into concepts like RAG and agents? And why is it important to still keep an eye on technology?
- What is happening in the cybersecurity space since the release of the OWASP Top 10 for LLM Apps?
- How are bad actors exploiting LLMs’ personalization capabilities and why do leaders need to know about LLM vulnerabilities?
Listen to the full episode to hear how you can:
- The sheer possibility of what AI can do now can seem overwhelming—even for AI experts and leaders.
- AI agents promise autonomy, automation, and optimization beyond anything currently possible, with agents negotiating with other agents to find an optimal solution.
- Data remains a critical ingredient for any successful AI project that many leaders still neglect.
- IT leaders are asking for tangible examples and return on their investment when working with embedded AI solutions.
- Agentic RAG has emerged as the latest iteration of RAG systems—however, data quality remains critical to achieve high quality outputs.
- The cybersecurity discourse has evolved from avoiding embarrasing PR to avoiding data leakage and legal consequences with bad actors looking to exploit these new LLM-based systems.
Order your copy of the AI Leadership Handbook today: https://aileadershiphandbook.com/order
Watch this episode on YouTube:
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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:
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In this episode, Quentin Reil (Founder & Chief AI Officer) and Andreas Welsch discuss the four key challenges of Generative AI that you can't ignore. Quentin shares his story about leveraging business data as a differentiator and provides valuable advice for listeners looking to overcome the most common issues surrounding Generative AI applications.
Key topics:
- Describe the impact of the evolving Generative AI landscape on business strategies
- Assess the “fitness” of different Large Language Models to solve particular customer needs
- Select technologies that can address the challenges of Generative AI
- Understand the role of data in the current regulatory landscape
Listen to the full episode to hear how you can:
- Concentrate on the problem rather than the technology
- Leverage your business data as a differentiator of your AI applications
- Drive business outcomes based on data-centric products and applications
Watch this episode on YouTube:
https://youtu.be/GKQUyiekGAMQuestions 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:
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More details:
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All episodes:
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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 growth
Listen 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 adoption
Watch this episode on YouTube:
https://youtu.be/87N5dQ7_RQkQuestions 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:
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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-making
Listen 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 peers
Watch this episode on YouTube:
https://youtu.be/0uEEXP_tL2AQuestions 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:
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More details:
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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 AI
Listen 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 information
Watch this episode on YouTube:
https://youtu.be/1SX-_OzkfWYQuestions 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:
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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/d2ME8t5I6agQuestions 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:
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All episodes:
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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_GlTgRmeL8Questions 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:
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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-ypS9IQuestions 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:
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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:
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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:
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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/Ev0sYU3tFS0Questions 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:
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More details:
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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_cQuestions 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:
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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-sQuestions 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:
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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/o7ygYzN6GBEQuestions 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:
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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/30YZejRr2awQuestions 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:
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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/ffKFsRwEfIkQuestions 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:
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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/OSj08YBdQrgQuestions 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.
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