What’s the BUZZ? — AI in Business

In this episode, Keith McCormick (Executive Data Scientist) and Andreas Welsch discuss the key roles to focus on when building your AI team. Keith shares his expertise on Generative AI, Artificial Intelligence, and Machine Learning and provides valuable insight) for listeners looking to support their teams in the jungle of AI terms and technologies.Key topics:- Understand AI teams’ limitations on prompting- Identify the key skills AI teams need beyond prompting- Retain data engineers and data scientists for AI projects- Choose the best time and topic to upskill AI teams onListen to the full episode to hear how you can:- Guide data scientists to lead AI projects- Teach the most critical skill on an AI team- Apply traditional machine learning skills for forecasting, supervised and unsupervised learning- Understand why Generative AI does not replace forecastingWatch this episode on YouTube:https://youtu.be/u33luD5dx04Questions 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, Tobias Zwingmann (AI Advisor & Author) and Andreas Welsch discuss building Generative AI applications with Open Source technology. Tobias shares his examples on weighing proprietary against open source technology for large language models and provides valuable advice for listeners looking to decide whether to use commercially available LLMs or open models such as Llama 2.Key topics:- What types of use cases does Generative AI enable?- When should you use off the shelf vs open source LLMs?- What components do you need to set up, train, and use Open Source LLMs?- What are the downsides and risks of using Open Source components?Listen to the full episode to hear how you can:- Understand the four categories of Generative AI use cases- Evaluate when off the shelf is more advantageous vs open source- Consider total cost to operate an LLM- Determine the risk of skill shortages for cutting edge technologiesWatch this episode on YouTube:https://youtu.be/g9TNndkfdU0Questions 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

Harpreet Sahota, a Developer Relations Expert, discusses augmenting Generative AI models with new data. Topics include techniques to improve results, building RAG-based systems, and overcoming LLM limitations. The importance of data quality and combining fine-tuning with RAG are also explored. Key takeaways include using RAG for current data, comparing fine-tuning and RAG, and building a vector store for better generation quality.

In this episode, Matt Lewis (Chief AI Officer) and Andreas Welsch discuss how you can grow your Chief AI Officer (CAIO) role. Matt shares his journey on transitioning from CDAO to CIAO and provides valuable advice for listeners aspiring to grow into an AI leadership role.Key topics:- Why do you need a Chief AI Officer?- What are the top focus areas of this role?- How can you continuously learn about generative AI?- What are CAIOs most concerned about?Listen to the full episode to hear how you can:- Hear what a Chief AI Officer does and why they should report to the CEO- Understand why cross-domain skills prepare your for a CAIO role and why industry knowledge is key- Get tips how to learn about generative AI while managing your time- Frame AI projects in the context of augmented intelligenceWatch this episode on YouTube:https://youtu.beTecRJLoiZxIQuestions 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

Steve Wilson, Project Leader at OWASP Foundation, discusses securing Large Language Models (LLMs) against vulnerabilities. Key topics explored include the most important vulnerabilities of LLMs, underestimation of security risks by developers, how these vulnerabilities will be exploited, and mitigation strategies. The podcast emphasizes balancing innovation and security risks, understanding prompt injections, preventing over-assigning agency to LLMs, and establishing trust boundaries with LLM-generated output.

In this episode, Ted Shelton (Management Consulting Leader, AI & Automation) and Andreas Welsch discuss keeping your business relevant with generative AI. Ted shares his insights on working C-Suite executives to incorporate AI in their business strategy and provides valuable advice for listeners looking to learn connect AI projects with corporate strategy.Key topics:- What’s top of mind for Executives on generative AI?- How does strategy decay drive AI discussions?- Which industries and business functions are ripe for generative AI adoption?Listen to the full episode to hear how you can:- Embrace generative AI technology and build an AI culture in your organization- Find ways to educate and support your leadership team -Identify several moonshot projects that will change how you do businessWatch this episode on YouTube:https://youtu.be/V3EwRCC3cjsQuestions 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, Eric Fraser (Culture Change Executive) and Andreas Welsch discuss automating your job with generative AI. Eric shares the key learnings from his experiment leveraging generative AI and machine learning to automate his sales management role and provides valuable insights for listeners looking to increase their own efficiency in knowledge work.Key topics:- Learn how far sales management roles can be automated with AI- Find out what role generative AI plays in automation- Hear how leaders can embrace AI-driven change among their workforceListen to the full episode to hear how you can:- Be ambitious to test which aspects of your role you can automate- Determine the best technology for the task (generative AI, machine learning, or others)- Keep the impact on others around you and their concerns in mindWatch this episode on YouTube:https://youtu.be/2EnuEXuWS1cQuestions 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, Supreet Kaur (AI Product Evangelist) and Andreas Welsch discuss upskilling your product teams on generative AI. Supreet shares learnings on continuously expanding her skillset as a product manager and provides valuable advice for listeners looking to incorporate generative AI into their product management skillset.Key topics:- Learn about generative AI from industry experts and events- Identify high value use cases for AI ahead of time- Build more inclusive AI products with diverse teamsListen to the full episode to hear how you can:- Use generative AI to automate mundane product management tasks (e.g. meeting minutes, product descriptions, Jira tickets)- Build more diverse teams for more diverse AI products- Sign up for generative AI trainings and certificationsWatch this episode on YouTube:https://youtu.be/8bTUK1YwxdUQuestions 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, Scott Taylor (The Data Whisperer, MetaMeta Consulting) and Andreas Welsch discuss getting funding for your AI projects. Scott Taylor shares his perspective on structuring a compelling story and provides valuable advice for listeners looking to get their senior leadership's attention on pursuing AI projects.Key topics:- Use storytelling to get your senior leadership’s attention and support- Prevent common mistakes technologists make and focus on the outcome instead of the process- Structure your AI pitch based on the AIDA (Attention, Interest, Desire, Action) frameworkListen to the full episode to hear how you can:- Start with the end result to drive an action- Practice your AI pitch and learn to recognize a bad story- Shift to execution when you’ve accomplished your goalWatch this episode on YouTube:https://youtu.be/CeUWw3mOZRIQuestions 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, Reid Blackman (Author of “Ethical Machines”) and Andreas Welsch discuss how leaders can put their AI ethics guidelines into practice. Reid shares his perspective on going beyond just AI policies and provides valuable advice for listeners looking to incorporate AI ethics from start to finish. Key topics: - Lead with AI Ethics - Asses bias & explainability - Define & operationalize your AI Ethics policy Listen to the full episode to hear how you can: - Articulate the action guardrails - Implement your AI ethics policy slowly - Specify success metrics Watch this episode on YouTube: https://youtu.be/XpMnVPyA0JQQuestions 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