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In an interesting LinkedIn post by George Ionut Danifeld concerning Apple’s new approach to AI, Apple Intelligence, I found myself intently staring at the following sentence: ‘The key idea is that for AI to be useful, it needs your data.’ The reality is that for Apple Intelligence to be truly useful, just having data from humans isn’t enough because crappy human data is still crappy human data. The trick is to use superior data from engaged panelists and have that serve as the guts that makes AI go. And I’m not talking about data that simply isn’t fraudulent data – we’ve got to go much further down the road when it comes to what really good data represents. Folks, it’s all about creating a better respondent experience and that serves as the mantra of GMIFY. I can’t think of a better one when it comes to what’s truly important in the world of panelists and the data they produce. #mentalhealth #dataquality #marketresearch #insightsassociation #esomar #newmr

➡ https://lnkd.in/eR_RsDcD Building safe and capable models is one of the greatest challenges of our time. Can we make AI work for everyone? How do we prevent existential threats? Why is alignment so important? Join Professor Hannah Fry as she delves into these critical questions with Anca Dragan, lead for AI safety and alignment at Google DeepMind.

Critcal Thinking in the News: Notable Insights Worth Discussing: "I think we just we have a mess here and the country is going to have to learn critical thinking that may be an impossible challenge for the U.S., but the fact that somebody told you something does not mean that it's true." "I think we have a trust problem in our society, democracies can fail and I think that the greatest threat to democracy is misinformation because we're going to get really good at it." The full interview at Stanford providing deep insights into AI, was taken down apparently because Schmidt said some negative things about Google. If your interested in discussing why Schmidt thinks learning critical thinking might be an impossible task in the U.S. or your home country AND, MORE IMPORTANTLY, want to consider ways to prove Schmidt wrong, please reach out to me.

Data Integrity Trends A study on data integrity—carriout out by Precisely and Drexel University's LeBow College of Business—reveals widespread issues with trust in data and the impact on data and AI initiatives that trust or lack thereof has. https://lnkd.in/duSRWC-9 #data #dataintegrity #techtrends #study

You don't need a Ph.D. in computer science to harness the value of AI, as Krish Venkataraman, president of our portfolio company Dataiku, shared with Edward Ludlow and Caroline Hyde on Bloomberg TV. 🚀 In fact, per Krish, "We think of AI as something that everyday users in an organization should be using. So not only the data scientists, but the person who works in finance, the person who works in HR, the person who works in legal, the person who works in manufacturing. Those people don't need an advanced degree to really take the value of AI, because right now, what we are seeing behind the scenes... most of the investment and the value creation, both for companies as well as for investors, is going to come in the application layer." Check out Krish's full interview here for more: https://lnkd.in/gDA_3e98

I feel lucky to have lived through so many firsts. Computers. Cellphones. Internet. Social media. And, now AI. As a marketer, I am excited to see this generation's creative thinkers explore, test, hack and reimagine the way we approach our craft with AI as a supercharged sidekick. It's truly a transformational moment in time, as so aptly explored in our latest Horizons episode with Arthur Soroken from Google Labs.

Jensen Huang's Billion-Dollar Lessons on Building the Future This infographic by Jason Shen highlights key takeaways from NVIDIA CEO Jensen Huang's Stanford lectures. Huang's journey from $1.5B to $3,113B market cap is no accident. He believes in constant learning and adapting to change. Key takeaway: In tech, you're either reinventing or dying. This infographic captures it all. --- 👉 Follow Gina Acosta Gutiérrez for more! Get the ultimate AI resource bank here: https://bit.ly/4cDPmb1 #ai #data #tech

Watch this video before starting Artificial Intelligence #technology #education #AI #ML #innovation https://lnkd.in/gPNtZcUH

Today I have immersed in this captivating webinar on "Impact of AI in Consumer Behaviour". An hour of discovering endless possibilities and gaining valuable insights, we had a successful webinar with all our young learners! Thank you for your time dear ma'am! D. Maria Nirmal Preethi #AI #MarketingResearch #ConsumerBehavior #ConsumerChoices #DataPrivacy #webinar #zoom #onlinelearning

Download the PC Magazine to explore the intersection of technology and literacy in the digital age, examining how literacy connects with social media, AI, and IT, and discussing the advantages and pitfalls of digital literacy and digital footprints. http://bit.ly/3RGJdCR