Future-Proof Your Product Teams With Generative AI Upskilling
Future-Proof Your Product Teams With Generative AI Upskilling
Find The Best Ways To Learn And To Build An Inclusive Future with AI As A Catalyst For Change
On August 17, Supreet Kaur (AI Product Evangelist) joined me live on “What’s the BUZZ?” and shared how product teams can upskill on Generative AI. AI is transforming the workplace, and it’s no longer confined to the realms of tech teams and Silicon Valley startups. With the power to automate mundane tasks and unleash human creativity, AI is a game-changer, not a job-eliminator. But as we welcome these advancements, a discerning approach is essential. Product professionals can strategically leverage AI, collaborate between tech experts and business teams, and confront and correct biases within AI systems for a more inclusive future. But where can product teams start? Here’s what we’ve talked about…
Identifying AI Opportunities In Your Workday
AI is extending its reach beyond tech specialists and is poised to touch everyone's daily life, sparking both excitement and concern. The prevailing concern that AI will lead to widespread job loss might not materialize as dramatically. AI will reshape jobs, not outright replace them. Imagine AI as your super-efficient assistant that tackles tedious tasks — such as drafting meeting notes or creating slides — liberating you to focus on creative and meaningful work that requires human sentiment, intuition, and connection. For product teams, this can be a significant time-saver. This transition starts with identifying those pain points, the repetitive tasks that drain your energy. With these identified, the next step is consulting with AI experts, who can help solidify your ideas and develop effective, automated solutions that address these specific pain points.
Staying Current Despite The AI Information Flood
Navigating the world of AI doesn't mean chasing every new and shiny trend. It is important to discern and to filter the constant stream of information to find what is truly relevant to your personal or organizational needs. Professionals in product roles need to employ a strategic approach to AI adoption, which includes a thorough examination of the costs and potential challenges, particularly in larger organizations with ingrained legacy systems. Selecting the most effective AI tools and technologies involves a delicate balance between exploring new options and focusing on what directly addresses your unique use cases. For startups, this often means a careful, informed choice from among the myriad of open-source options available. And developing your skills becomes evermore critical in this environment.
» I can just tell you how I stay updated is by tuning into podcasts like these. First of all, just to know what's happening and then adopt things that are relevant to me. «
— Supreet Kaur
Building More Inclusive AI Products
Successful AI integration is a collaborative affair, requiring strong communication and partnership between tech experts and business teams. If you already understand AI well, step up and educate your colleagues to foster a more informed work environment. Business experts, too, should be open to upskilling and to grasping enough of the tech side to make meaningful contributions. But there is an uncomfortable truth: AI has an inclusivity problem. If AI is trained on biased data, it will produce biased results. Addressing this challenge means meticulous scrutiny of data sets and an intentional effort to form diverse decision-making teams. It's a call for dedicated roles focused on ensuring data fairness and equitable AI practices.
Summary
AI is poised to reshape our work and lives, acting as a catalyst for creativity rather than a job-stealer. However, as we navigate this burgeoning field, selective learning and strategic implementation are key. The integration of AI into businesses necessitates collaboration between tech-savvy experts and business teams. As this integration occurs, it’s imperative to confront and address biases in data and decision-making to ensure that AI serves as an equitable tool for all.
What mundane tasks do you wish AI could handle for you?
Listen to this episode on the podcast: Apple Podcasts | Other platforms
Develop your AI leadership skills
Join my 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.
Join us live
August 29 - Eric Fraser, Culture Change Executive, will join and share his first-hand experience how much of his leadership role he is able to automate with generative AI.
September 12 - Ted Shelton, Management Consulting Leader for AI & Automation, will share how business leaders can keep their business strategy relevant in times of AI-driven change.
September 26 - Steve Wilson, Project Lead, OWASP & Chief Product Officer, Contrast Security, will join to discuss the most common vulnerabilities of LLM-based applications and how to mitigate them.
October 12 - Matt Lewis, Chief AI Officer, will share how you can grow your CIAO role and if it is on the way up or out.
Watch the latest episodes or listen to the podcast
Find me here
August 29 - Fireside Chat at Generative AI Online, why building generative AI products requires more than ChatGPT.
September 28 - Moderator of WowDAO Worldwide AI & Web3 Summit, AI Hackathon Winner Ceremony.
Follow me on LinkedIn for daily posts about how you can lead AI in business with confidence. Activate notifications (🔔) and never miss an update.
Together, let’s turn hype into outcome. 👍🏻
—Andreas