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Scooped by
Tony Shan
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Scooped by
Tony Shan
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Scooped by
Tony Shan
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A theme snaking its way through conversations these days about generative AI is the need for open source models, open platforms, and industry standards as ways to make the emerging technology more accessible and widely adopted by enterprises.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
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Scooped by
Tony Shan
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Scooped by
Tony Shan
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I had the opportunity to attend Enterprise Agility University’s prompt engineering course in April. The course provided a helpful agility lens through which to view efforts on how to make large language models useful. An LLM in this current enterprise context is like a herd of unruly sheep—you need plenty of herding dogs and fencing to manage the herd. The bigger the herd, the more dogs and fencing you need. The EAU prompt engineering textbook provided with the course listed 18 categories of prompt engineering techniques. Many of these are reasoning and knowledge creation oriented.
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Tony Shan
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A new report out of analyst firm Intersect360 Research is shedding some new light on just how valuable the HPC and AI market is. Taking both of these technologies as a singular unit, Intersect360 Research found that the HPC-AI market size reached $85.7 billion in 2023.
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Researchers from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) have discovered how some images linger in our memories while others fade away. Their study, published in PLOS Biology, reveals new insights into the brain dynamics that govern visual memorability.
Utilizing a combination of magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI), the team has, for the first time, pinpointed both the timing and the locations within the brain where memorable images are processed.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
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Analyst firm Intersect360 Research has released its annual report placing the worldwide market for scalable computing infrastructure for HPC and AI at $85.7 billion in 2023, up 62.4 percent year-over-year. This was mainly due to a near tripling of spending by hyperscalers on AI infrastructure.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
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Tony Shan
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With the introduction of Apache Paimon by the Apache Software Foundation (ASF), users can now process data in both batch and streaming modes. Paimon has been under incubation status for a year and has now graduated from incubation to a Top-Level Project (TLP). Apache Paimon is a data lake format designed to provide real-time lakehouse architectures built with Apache Spark and Apache Flink for streaming and batch operations. It provides a streaming storage layer and allows Flink to stream proceedings directly on the data lake.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
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Tony Shan
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The ability to develop crisp mental models around the problems you want to solve and understanding the why before you start working on the how is an increasingly critical skill, especially in the age of AI. Coding is one of the things AI does best and its capabilities are quickly improving. However, there’s a catch: Code created by an AI can be syntactically and semantically correct but not functionally correct. In other words, it can work well, but not do what you want it to do. Having a crisp mental model around a problem, being able to break it down into steps that are tractable, perfect first-principle thinking, sometimes being prepared (and able to) debate a stubborn AI — these are the skills that will make a great engineer in the future, and likely the same consideration applies to many job categories.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
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“How AI-ready is my organization?” This question has most likely crossed the minds of all forward-thinking enterprise data leaders at least once over the last several months. We say this because more than 80% of participants in a recent CDO Magazine survey of senior data leaders considered leveraging AI a high priority for the C-Suite of their organizations. The participants listed product/offering innovation, improving decision-making, reducing expenditure, and quality work as some of the motivations behind AI adoption.
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Tony Shan
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Scooped by
Tony Shan
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Tony Shan
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JEP 476, Module Import Declarations (Preview), was integrated into JDK 23. This preview feature proposes to enhance the Java programming language with the ability to succinctly import all of the packages exported by a module, with the goal of simplifying the reuse of modular libraries without requiring code to be in a module itself.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
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Although LLMs are getting all the notice lately, AI techniques of many varieties are being infused throughout science. For example, Harvard researchers, Google, and colleagues published a 3D map in Science this week that reveals a small chunk of as human brain in astonishing detail. Imaging the roughly cubic millimeter of tissue produced 1.4 petabytes of data.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
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Tony Shan
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Scooped by
Tony Shan
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Tony Shan
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Data-as-a-service provider Snowflake launches Arctic, a new large language model (LLM) called based on a unique Mixture-of-Experts (MoE) architecture optimized for complex enterprise workloads.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
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Tony Shan
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Tony Shan
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Earlier this year, I had the privilege of serving on the organizing committee for the DataTune conference in my hometown of Nashville, Tenn. Unlike many database-specific or platform-specific conferences, which tend to focus on analytics and data science, DataTune covers a wide variety of topics such as database engineering, development, administration, and analytics. I was delighted to be joined on the committee by two friends, Dustin Dorsey and Cameron Cyr, authors of Unlocking dbt: Design and Deploy Transformations in Your Cloud Data Warehouse.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
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This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 8 data-related mistakes on data projects.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
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Tony Shan
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Scooped by
Tony Shan
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Scooped by
Tony Shan
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CIOs have arrived at a pivotal point in their evolution, taking command of enterprise strategy and cementing their status as full-fledged business leaders — a role they’ve long strived for.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
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Scooped by
Tony Shan
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