AI Walks on Water

by Tony Palladino Emirates Team New Zealand wins the 36th Americas Cup title with help from AI In early 2019, Emirates Team New Zealand set out to defend their Americas Cup title. Before building the ultra-expensive racing yacht for the 36th Americas Cup in 2021, the team embarked on a new strategy employing AI technology. For two years, the team worked with their strategic partner, McKinsey/Quantum Black, to develop AI models using Amazon Sagemaker, running in AWS cloud. The team developed and trained AI machine learning models to generate tens of thousands of racing yacht “digital twins” – before they…

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No, That Is Not a Good Use Case for Generative AI

by Bill Franks While historically, there are always misunderstandings about a new technology or methodology, it seems to be even worse when it comes to generative AI. This is in part due to how new generative AI is and how fast it has been adopted. In this post, I’m going to dive into one aspect of generative language applications that is not widely recognized and that makes many use cases I hear people targeting with this toolset totally inappropriate. A Commonly Discussed Generative AI Use Case Text based chatbots have been around for a long time and are now ubiquitous…

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Taking Large Language Models To The Next Level

by Bill Franks In recent weeks, I’ve written several blogs related to the limitations and misunderstandings of popular large language models (LLMs) like ChatGPT. I’ve talked about common misunderstandings as well as areas where today’s tools can be expected to perform better (or worse). Here, I’m going to outline an approach that I believe represents the future of LLMs in terms of how to make them more useful, accurate, and impactful. I am already seeing the approach being implemented and expect the trend to accelerate. Let’s dive in! Ensemble Models – Proven For Machine Learning, Coming To LLM Applications One…

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Electricity Is a “Waste Byproduct”? How AI Data Centers Help Balance the Renewable Energy Equation

by Duncan Simmons “Wind power projects aren’t in the business of producing electricity – they generate Renewable Energy Credits. Electricity is the byproduct. We’re building next to wind farms to use their byproduct.” – Data Center Developer Solar panels and windmills dotting the landscape paint a vivid picture of our shift towards renewable energy. But good policy intentions go awry when developers respond to poorly-structured incentives, taking government subsidies without regard for decarbonizing the grid.  Instead of green energy, we end up with market distortions such as negative electricity prices and redundant projects built in power-saturated areas. These problems could…

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73% of Companies Aren’t Measuring the KPI That Matters Most

by Jordan Cohen What is the most important KPI that you probably aren’t paying attention to? The answer is RPE, or revenue per employee.   RPE is measured by how much revenue a company generates divided by total headcount. The higher the RPE, the more efficient and profitable the business. The largest and most successful tech companies on the planet boast remarkable RPE: from the high six figures for companies like Microsoft and eBay, to $2 million+ for the largest company in the world, Apple.  In the current environment, with the tech industry’s newfound appreciation for efficiency and profitability, one might think that…

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LLMOps – Generative AI needs new processes to deploy Large Language Models at the Edge

by Sanjay Mazumder Venture Capitalists look at new ideas from one of two perspectives, either it has to be “better, faster, cheaper” or “brave new world”. Seldom do they pick the second one. 2023 is such a year. In the past few months, we’ve already seen how generative AI is setting the business agenda for major tech companies. What makes it different from previous “new worlds” concepts like Metaverse or Crypto Currency? First of all, it’s not an ethereal concept. It’s tangible and proven technology. And it’s not a tech trend only embraced by techies. Rather generative AI is already…

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AI TRiSM to address Generative AI

by Sanjay Mazumder The first part is an introduction to AI TRiSM and the need for it in the Insurance industry for AI particularly for the current wave of Generative AI deployment. The second part covers the detail of deployment, dissecting the Generative AI deployment stack and how different functionalities for AI TRiSM are implemented on the stack. What is AI TRiSM AI TRiSM stands for Artificial Intelligence (AI) Trust, Risk, and Security Management. Gartner defines AI TRiSM as a framework that supports AI model governance, trustworthiness, fairness, reliability, robustness, efficacy, and data protection. AI TRiSM includes solutions, techniques, and…

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Exploring the Odds: What Will ChatGPT Get Right And Wrong?

by Bill Franks I recently wrote about how you can think of everything that ChatGPT, or any other generative AI tool, creates as a hallucination. However, even given that generative AI is making up its answers from scratch based on probabilities, it still manages to get a lot of things right. This led me to ponder … is it possible to know in advance how likely you are to get an accurate answer from ChatGPT? Are there patterns to what it gets right and wrong? Yes! I’ll outline some guidelines here. How Recent Is Your Topic? Like all models, ChatGPT…

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Technology, Business, Finance: Are you multilingual?

by Tony Palladino In my travels to Europe, it was not hard to notice that people speak English almost everywhere. Almost. When my wife and I found ourselves in remote areas of Italy, France, or Germany, we leaned on our translator app on our mobile phones to help communicate with the locals. That worked reasonably well – most of the time, until there was no coverage in certain locations. We were in a restaurant on our way to Cinque Terra when we struggled to convey our order to the server, whom did not speak English. Nor did anyone else in…

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Generative AI: It’s All a Hallucination!

by Bill Franks No business executive has been able to avoid the excitement, concern, and hype that has surrounded the generative AI tools that have taken the world by storm over the past few months. Whether it’s ChatGPT (for text), DALL-e2 (for images), OpenAI Codex (for code), or one of the myriad other examples, there is no end to the discussion about how these new technologies will impact both our businesses and our personal lives. However, there is a fundamental misunderstanding about how these models work that is fueling the discussion around what is known as the “hallucinations” that these…

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