Michael Krigsman

Explore this four-part series of the top most viewed and highly-rated Gartner webinars that focus on four key parts to the GenAI strategic journey: vision, value, risk and adoption. Watch now. #GenerativeAI #GenAI #Leadership #Webinar

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#AIliteracy has become one of the most important topics related to #AIgovernance. If you’re curious to know what skills and capabilities companies who use and manage AI systems are looking for and how top universities are approaching educating the next generation of an AI-enabled workforce, this LinkedinLive is for you.

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AI is navigating a very tricky transition from "novel" to "useful" at the moment, and while the wild creative swings and the (now-maligned) wearables are capturing the attention, there's a deeper discussion happening about what it means to get generative models ready for reliable, robust, enterprise-grade deployment. More in our breakdown of this week's top #fashiontechnology news: interli.net/4aYFUhn

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My latest story is up at CIO magazine: 23 key gen AI terms and what they really mean From agentic systems to zero-shot prompting, generative AI can feel like a new language. Here are the terms CIOs need to know. https://lnkd.in/eUH7W4p4

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Use Gartner's impact radar for generative AI to plan investments and strategy with four key themes in mind: ✅ Model-related innovations ✅ Model performance and AI safety ✅ Model build and data-related ✅ AI-enabled applications Explore all 25 technologies and trends. #GartnerIT #GenerativeAI #AI #Artificialintelligence

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A really practical guide to LLMs is now available! Learn what to do, what to avoid, from prompting to RAG, to fine-tuning, and evaluation. Definitively worth reading. https://lnkd.in/dCC6uKjs

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A recent article highlights how #AI #LLMs providers like #OpenAI and #Google are releasing smaller, more affordable models tailored to meet specific business needs 🤖 By prioritizing #affordability and #reliability, these companies are democratizing access to #AItechnology and paving the way for widespread adoption 🌍 As #AImodels become more accessible and cost-effective, businesses can harness their power to automate tasks, enhance customer service, and drive innovation 💪 Organizations can start approaching #GenAI adoption more strategically. Instead of continuing to focus on short-term experimentation, now is the time to create #value, #monetize, and #scale quickly. There are plenty of #LLM options available (even through single APIs) to exceed #customers' expectations and #financial forecasts 📈 The race is on, and the stakes couldn't be higher. If you want to play, you have to #innovate.. to innovate, must first #migrate ⛅️.. then watch as you scale and dominate 🚀🚀 #ToPlayHaveToInnovate #ToInnovateMustMigrate #AmazonWebServices #MicrosoftAzure #GoogleCloud #Gemini #Meta #Llama2 #Anthropic #Claude #GPT4o #CloudMigration #Partnership

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As AI continues to shape the future of business, it's crucial for boards to understand the risks and opportunities involved. In a Q&A with Corporate Board Member, Diligent's President and CEO Brian Stafford discusses best practices for how boards should be approaching AI adoption.

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Great piece from Slalom (https://lnkd.in/evEW6dBa) that raises the issues of key infrastructure challenges for #AI. Most AI projects are stuck in POC and consistently tech leaders cite data (quality, governance, sovereignty, security) issues as paramount. Vector data solutions are critical to augmenting and improving models so they're production-ready. Did you know you can solve that with #Postgres ? https://lnkd.in/e2DHHXXy

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Some more thoughts from the IBM event in NY this past week. It was clear that the efforts to bring 160,000 consultants up to speed to evolve IBM's $2B book of business is a high priority. It is being executed broadly to take advantage of an expanding TAM as AI's impact is felt across industries around the world. IBM is already seeing that costs are top of mind among its customers and prospects, as Shawn Rogers and I found in our recent primary research conducted for BARC(https://lnkd.in/gy_zS9TZ). There was much discussion of IBM's Granite models (https://lnkd.in/gszuu7AF). It was an eye-opener for me personally to see how much benchmarking and effort have gone into creating deliverables that are not falling prey to what seems to be a common belief that more is always better - demonstrating that smaller, more targeted models can outperform at a lower cost. Eileen Lowry talked about the compelling new offerings in IBM Consulting Advantage, a platform that will enhance productivity for developers and users alike. A strong focus on usability and delivery will serve IBM well, leveraging the reliance its customers have leaned into for decades on the company's trustworthiness. Rob Thomas and Dario Gil highlighted trends to come, such as multi-agent orchestration, speculative decoding, more and more open source, and the impact of using more than the 1% of enterprise data that is typically represented in foundation models. Data at the heart of it all was a recurring theme, and I could not be happier to hear this ringing affirmation. Although Arvind Krishna made it clear he sees Quantum as one of IBM's 3 largest growth areas by percentage over the next few years, he also asserted, in response to a provocative question from Sanjeev Mohan, that those who know IBM "do not have the impression anymore" that IBM is a legacy vendor. It's a tribute to his leadership that heads nodded around the room when he said so. IBM is adding clients in the thousands year over year, he said. There is so much more I could talk about but I will close with one of my favorite pieces of phrasemaking: the reference to IBM's zTPS as "the OG Platform." IBM continues to embrace its mainframe legacy, as it should. The z platform embodies the distinction between "technical debt" and "technology asset."

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New Book - BEYOND BYTE$: Ethical Data Monetization in the Digital Age Todd Harbour and I are excited to announce the publication of our newest collaboration. From the jacket: "Explore the transformative power of data syndicates. Learn how these innovative collaborations drive industry transformation and pave the way for ethical data monetization." For an immediate 20% off the list price, jump to our publisher's website: https://lnkd.in/eQ8SZceu and use the code "anything awesome" #data #damainternational #datamanagement #dataliteracy #iscdo #cdos #chiefdataofficer #monetizingdata #cdoiq #loveyourdata #data4good #digitalgovernment #Datamonitization #dataliteracy #dataculture #datadriveninnovation #datadoctrine #datafirst #datacentric #dataculture #datafocused #dataprovocateur #webinar #dataanalysis

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Last year was the year of exploration, education and experimentation, but this year is when organizations must deliver and execute. Gain expert guidance on how to strategically plan your AI and GenAI execution and governance in Gartner's upcoming webinar. #GenAI #AI #Webinar #Leadership

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Data Quality: The Hidden Cornerstone of Digital Transformation Success: An article in the latest issue of The Data Administration Newsletter says that a Gartner study found that poor data quality costs organizations an average of $12.9 million annually. More alarmingly, the same study revealed that only 24% of organizations rate their data quality level as “high.” According to the article, "this disconnect between the importance of data quality and the actual situation in most organizations is a ticking time bomb in digital transformation." Learn more at Hey! What's New? at thinktwenty20.com.

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As investment in AI reaches new highs, Gartner Global Chief of Research Chris Howard breaks down the newly released Hype Cycle for Artificial Intelligence. He covers the stages of AI development, what it means for GenAI to enter the trough of disillusionment, and the impact of AI on energy consumption. Use this new research to expand your purview beyond AI to identify other techniques and technologies worthy of investment. When not to use generative AI: https://gtnr.it/3zUHPqa  #GenAI #HypeCycle #AI

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Conversations: John Havens: Heartificial Intelligence. We're excited to welcome to the podcast John Havens, a multifaceted thinker at the intersection of technology, ethics, and sustainability. John's journey has taken him from professional acting to becoming a thought leader in AI ethics and human wellbeing. In his 2016 book, "Heartificial Intelligence: Embracing Our Humanity to Maximize Machines," John presents a thought-provoking examination of humanity's relationship with AI. He introduces the concept of "codifying our values"—our crucial need as a species to define and understand our own ethics before we entrust machines to make decisions for us. Through an interplay of fictional vignettes and real-world examples, the book illuminates the fundamental interplay between human values and machine intelligence, arguing that while AI can measure and improve wellbeing, it cannot automate it. John advocates for greater investment in understanding our own values and ethics to better navigate our relationship with increasingly sophisticated AI systems. In this conversation, we dive into the key ideas from "Heartificial Intelligence" and their profound implications for the future of both human and artificial intelligence. #ai #artificialintelligence #generativeai #airesearch #complexity #intimacyeconomy #chatgpt #complexchange #changemanagement #futureofwork #artificiality #mindforourminds #intimacyeconomy #agenticweb

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