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Join our first AI workshop. I am super excited about this one. Join us online on June 15th at 4:00 PM for our 'What is AI Workshop?' event! Discover how to work smart, not just hard. In 2 hours, we will cover Ellie Kulsuma will talk about the use of AI in various scenarios: What are the advantages and disadvantages of different AI approaches? Reema Vadoliya from People of Data will talk about how the data used in AI affects the results it produces. Last month, we asked some of you to fill out a Google form to understand your learning interests. Based on your responses, we will hold an open discussion with the audience (at the end). Event Link https://lnkd.in/ee5GTyMa

What is AI?

I want to say a huge thanks to Jon Fletcher for sharing his thoughts at our session yesterday on how to cut through the AI noise. The session was prompted by some research Insights Media carried out into who is influencing L&D and what learning professionals think about the quality of insights on topics, including AI. Reflecting on the session, I was heartened by Jon's message that no one is behind on generative AI - we are all breaking new ground on this together. This explains Jon's focus on getting your hands dirty with generative AI, so that you can focus on the information you need as you work on a specific AI related project. Yes, stay informed of the bigger picture but the emphasis needs to be on application too and building your knowledge and understanding as you use the tools. This message also made me think about Ethan Mollick's thoughts on confronting impossible futures. Read that here https://lnkd.in/eYzW_FEf I'll share the recording and related resources from the session shortly. In the meantime, connect with Jon if you have more AI related questions. Photo by Ron Lach : https://lnkd.in/erkFregr

In the latest article of Marketing Week’s AI: Beyond the Hype series, supported by Publicis Media, we look to understand how market research is evolving thanks to the introduction of generative AI and what that means for marketers. https://lnkd.in/gnEdZfrr

Your business could benefit from AI. But actually implementing it? That's the tricky part. Join our live webinar in 1 week to get a practical framework for leveraging AI's power effectively. You'll discover how to: 🎯 Align AI initiatives with core business goals (no more random experiments!) 📊 Evaluate if your data is ready to fuel AI models 📋 Create actionable roadmaps to operationalize predictions For even more valuable takeaways, you can ask our AI experts our most burning questions during the live Q&A! Secure your spot now and get ready to drive measurable impact with AI: https://lnkd.in/gMt5-F2N

"I haven't found any personal use case for AI so far." I hear this a lot. And I bet if we were sitting in the same room, it would take me less than 5 minutes to find you one. If you still haven't found a use case for yourself, here's what you should think about: — Which information do you need to summarize regularly? — Are there any tasks where you need to extract specific information? — Are there tasks where you need to classify and categorize things? — Are there documents or information you need to generate regularly? It turns out these are the 4 core use cases of Generative AI: Generate, Summarize, Extract, Classify. So start from your day-to-day tasks: 👉 Identify which tasks require you to generate, summarize, extract or classify information 👉 Try working with AI on them next time

AI: Beyond the Hype. Generative AI has the ability to transform market research, removing menial, time-consuming tasks. But tools need to be briefed “rigorously and comprehensively”, and results must still be “validated and interpreted by qualified humans”.

If you’re implementing AI just for the sake of AI, it’s not going to work out. During PL-ai-N Speak, Sophie Conti shared how to develop an AI strategy that works for CX, especially when there’s a push from the C-suite to take advantage of AI! The key is to answer the question: “What are you looking to achieve with AI?” With a clearly defined goal, measuring ROI on your investment in AI becomes very clear. This is one of the many insights Sophie Conti shared during her PL-ai-N Speak episode. Read the highlights from Sophie's episode! [Link in comments]

How are proposal teams *actually* using AI in 2024? 🤖 According to new research from the RFP Trends Report 📖 (produced in partnership with APMP), we asked early adopters, what are you using generative AI for in your RFP process? Answers reveal that teams are leaning on AI for... ✔️ Quickly summarizing information (like condensing bios) ✔️ Writing answers in just a few seconds (so you can focus on refining) ✔️ Competitive Research and quick analysis How are you using AI in your process? Let us know in the comments. 

Remove the ‘drudge work’: How is AI changing market research? AI: Beyond the Hype. Generative AI has the ability to transform market research, removing menial, time-consuming tasks. But tools need to be briefed “rigorously and comprehensively”, and results must still be “validated and interpreted by qualified humans”. https://lnkd.in/gnEdZfrr