Top Perspectives On AI Leadership: What You’ve Missed In 2023
Prepare For The New Year With These Top Episodes Of The “What’s the BUZZ?” Live Stream And Podcast
As the year is winding down, it’s a great time to reflect and to catch up on the most impactful topics for AI leaders.
This year has certainly been a whirlwind for anyone working on AI, trying to cover it, or understanding what it means in business. That’s why I’m super excited that “What’s the BUZZ?” has grown into a truly global show in 2023:
23 episodes incl. 25 guests
60+ countries represented in the audience
1,000+ hours watched
2,500+ viewers for top episodes
I’m deeply grateful for all the introductions and personal connections, and for my guests sharing their experience live. We have covered a broad range of topics that are top of mind for leaders running AI projects in business.
In case you’ve started following me only recently, here are this year’s top episodes on AI leadership & strategy, ethics & data privacy, and data & technology.
Thank you for all your support this year!
Happy Holidays and a Happy New Year!
—Andreas
Top Perspectives On Leadership & Strategy
Whether you are new in an AI leadership role or are looking to move into one, these insights will help you build your AI strategy and manage stakeholder relationships across the organization:
Matt Lewis (Chief AI Officer) shared his advice how you can grow your role as a Chief AI Officer. Here’s what we covered:
Why do you need a Chief AI Officer (CAIO)? 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 this episode or watch it 👇🏻.
👉🏻 Follow Matt Lewis on LinkedIn.
Ted Shelton (Management Consulting Leader for AI & Automation) mentioned several examples how business leaders can keep their business strategy relevant in times of AI-driven change. We spoke about:
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 this episode or watch it👇🏻.
👉🏻 Follow Ted Shelton on LinkedIn.
Maya Mikhailov (Founder & AI Leader) shared some excellent tips & tricks how you can set expectations with your leaders when leading AI projects. What we talked about:
How can AI leaders manage their senior leadership’s expectations of AI?
What options do AI leaders have to make AI tangible for their leaders?
Why does that (not) change with Generative AI?
🎙️ Listen to this episode or watch it👇🏻.
👉🏻 Follow Maya Mikhailov on LinkedIn.
Top Perspectives On Ethics & Data Privacy
Needless to say, with great power comes great responsibility. That’s why AI ethics and data privacy need to be an integral aspect of your AI initiative. Here are two excellent resources for you to get started:
Ravit Dotan (AI Ethics Expert) covered how responsible AI practices evolve in times of Generative AI. Here are the top insights:
What new challenges does Generative AI create?
What’s different compared to traditional AI systems?
How can leaders encourage their teams to use Generative AI responsibly?
🎙️ Listen to this episode or watch it👇🏻.
👉🏻 Follow Ravit Dotan on LinkedIn.
Aurélie Pols (Data Privacy Expert & Advisor) provided insights how leaders can shape their business’ accountability for Generative AI. You will learn:
How to adapt earning your customers’ trust?
Which data & risk aspects matter for building AI products?
What roles do government, businesses, and individuals play?
🎙️ Listen to this episode or watch it👇🏻.
👉🏻 Follow Aurélie Pols on LinkedIn.
Top Perspectives On Data & Technology
Over the course of the year, we have seen that prompting an LLM can get you pretty far. But the approach has its limitations when it comes to current or proprietary data. That’s where augmenting your prompts or potentially fine-tuning your LLM comes into play. Learn which approach should you pursue:
Harpreet Sahota (Developer Relations Expert) talked about augmenting off-the-shelf LLMs with new data. Real-world advice in this episode:
What's the benefit of Retrieval Augmented Generation (RAG) over fine-tuning?
What impact does data quality have when following a RAG approach?What type of models are best suited for RAG?
What do leaders and experts need to know about getting started with RAG?
🎙️ Listen to this episode or watch it👇🏻.
👉🏻 Follow Harpreet Sahota on LinkedIn.
Abi Aryan (Machine Learning Engineer & LLMOps Expert) shared her experience how you can fine-tune and operate large language models in practice. Top questions in this episode:
Why do you want to tailor LLMs to your industry or domain?
How can you improve the results and fine-tune an LLM?
What does including an LLM in your product entail operationally?
🎙️ Listen to this episode or watch it👇🏻.
👉🏻 Follow Abi Aryan on LinkedIn.
“What’s the BUZZ?” is a bi-weekly live stream and podcast for leaders and hands-on practitioners. Each episode features a different guest who shares their AI journey and actionable insights. Learn from your peers how you can lead artificial intelligence, generative AI & automation in business with confidence.
If you have any recommendations for guests you’d like to see in an upcoming episode, please reach out. I'd like to ensure that I bring you a global, diverse perspective on leading AI in business.
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