Why adopting GenAI is so difficult? Great article by Harvard Business Review More than a year after the launch of ChatGPT, companies are still facing the same question when they first considered the technology: How do they actually go about putting it into business use? Many companies have simply discovered that generative AI tools like LLMs, while impressive, aren’t plug and play. Companies should consider a few suggestions when thinking of whether and how to onboard these tools: 1) Choose performance over novelty 2) Combine GenAI with tools like vector databases 3) Never forget the human-in-the-loop 4) Trace your data 5) Have realistic expectations. --- 📌 I'm exploring the impact of Artificial Intelligence on the future of work, sharing insights and strategies daily. Join my journey to stay ahead! If you enjoy my content, follow me Justin den Braven for more in the future. #genai #artificialintelligence #llms #ai #vectordatabase #chatgpt #futureofai
Joost Vos, Ph.D
9mo
All fair points! Yet, I guess the main starting struggle for most organizations/companies is getting the foundations right! Let’s talk about your data fundament, your digital strategy, your AI strategy, your governance strategy. All topics that you can think about before touching technology at all. Before you build a house, you usually make sure that you’ve got the fundaments in place!
EMEA Director, Analytics @GroupM | AI Visiting Lecturer MSc @Durham | House of Lords 2024 | AdWeek 2023
9moReally good article. We need to remember that technology is a tool to fix a problem/need for personal or commercial purposes. Generative AI is just that. It’s a tool we can use. A very powerful one. But we shouldn’t use it just to say we use it, we need to have a real use for it. Thanks for sharing! What was your favourite part of the article? Justin den Braven