Matthew Candy

Question the status quo, simplify & drive growth with #genAI. Read more in mine & @salima_lin 6 hard truths blog post & @IBMIBV CEO Study. Blog post: ibm.com/blog/6-hard-tr…………

Next week at #Think2024, @salima_lin & I will be taking to the stage with industry leaders & clients to unpack the latest @IBMIBV CEO Study "6 hard truths CEOs must face". You can download & read the report now: ibm.com/thought-leader…

Granite Code released! 🧑🏻‍💻 @IBM just released a family of 8 new open Code LLMs from 3B to 34B parameters trained on 116 programming languages and released under Apache 2.0. 🔥 Granite 8B outperforms other open LLMs like CodeGemma or Mistral on benchmarks and supposedly supports COBOL! 🪨🤯 TL;DR: 🧮 8 models (base + instruct) from 3 to 34B parameters 🦙 Based on the Llama architecture 🪟 Context from 2k (3B) to 8k (20B+) models 🌐 Trained with @BigCodeProject Stack and Github on 116 programming languages 🔠 2 Phase pertaining code only (~4T tokens) then high-quality code + language (500B tokens) 🛫 34B model is depth upscaled (merging) from 20B and further trained 🧠 Trained on IBM Vela and Blue Vela supercomputer 🔓 Released under Apache 2.0 🤗 Available on @huggingface ❌ Cleaned and filtered Datasets not released ❌ No mention of decontamination in the paper Paper: github.com/ibm-granite/gr… Models: huggingface.co/collections/ib…

Tennis is getting an AI upgrade.🎾 @Wimbledon’s Chris Clements and @IBM’s Matthew Candy explain how the world's oldest tennis tournament is implementing the tech. #FortuneAI | trib.al/bG9jwRU

#AI is set to transform industries & the labour market, presenting clear productivity & innovation opportunities that will fuel the largest GDP growth seen in decades. Check out my recent interview with @IberianProp where we dive into this and more: iberian.property/opinion/techno…

Through the power of #AI, @IBM will bring fans closer than ever to the action of the 88th @TheMasters Tournament. With #watsonx, fans will have access to hole-by-hole insights & projections, as well as AI-powered narration. Check it out on the app & website, & read more here:

Check out my recent conversation with @livemint's Leslie D'Monte about how '24 will be the year of scaling #genAI with integrity. As companies move beyond AI experimentation, they need to identify & scale their AI ambition with a close eye on governance to extract business value.

Why not check out how @IBM's #watsonx can deliver you personalised content for this year's 66th Annual GRAMMY Awards!

As a scale consultancy embedded in a tech company, @ibmconsulting is constantly adapting to the disruption #GenAI poses. Hear from our team as we look at how IBM Consulting Advantage & Assistants puts AI into the hands of our consultants to deliver value realisation at scale.

Last week, I spent time with @VentureBeat on the impact of Open Source LLMs on #GenAI in the enterprise. @IBM has always been an advocate of open innovation, & we believe that a platform is only as valuable as the ecosystem it enables. Read more here. venturebeat.com/ai/how-enterpr…

In generative AI, open source and narrower proprietary models (domain specific) are increasingly likely to win.

Have 10 hours? @IBM will train you in AI fundamentals - for free #ftag=COS-05-10aaa0j" target="_blank" rel="nofollow noopener">zdnet.com/article/earn-a… via @ZDNET & @DavidGewirtz @ibmconsulting @IBM_iX

At IBM we created an AI Roadmap for the next few years. Folks... check what is coming: 𝟮𝟬𝟮𝟯: 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹𝘀 𝗲𝘅𝘁𝗲𝗻𝗱𝘀 𝗯𝗲𝘆𝗼𝗻𝗱 𝗻𝗮𝘁𝘂𝗿𝗮𝗹 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴. In 2023, it will expand enterprise foundation model use cases beyond natural language processing (NLP). 100B+ parameter models will be operationalized for bespoke, targeted use cases, opening the door to broader enterprise adoption. 𝟮𝟬𝟮𝟰: 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝘁𝗿𝘂𝘀𝘁 𝗽𝗲𝗿𝗺𝗲𝗮𝘁𝗲 𝗔𝗜 In 2024, we will integrate trust guardrails throughout the AI foundation models lifecycle and AI governance at the organizational level. Data representations will optimize across privacy, fairness, explainability, robustness, etc. 𝟮𝟬𝟮𝟱: 𝗔𝗜 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗺𝗼𝗿𝗲 𝗲𝗻𝗲𝗿𝗴𝘆 𝗮𝗻𝗱 𝗰𝗼𝘀𝘁 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 In 2025, we will improve the energy and cost efficiency of foundation model training and inference by 5x and bring 200B+ parameter foundation models to enterprises. It’s all about making them more powerful, useful, and practical. 𝟮𝟬𝟮𝟳: 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹𝘀 𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗯𝗲𝗰𝗼𝗺𝗲 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 By 2027, we will be routinely doubling the number of foundation model parameters in production for the same energy envelope every 18 months. Training and inference will be 4x more energy efficient vs. 2025. 𝟮𝟬𝟮𝟵: 𝗧𝗿𝘂𝘀𝘁𝘄𝗼𝗿𝘁𝗵𝘆 𝗮𝗻𝗱 𝗲𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗜 𝘀𝘁𝗮𝗿𝘁𝘀 𝘁𝗼 𝗿𝗲𝗮𝘀𝗼𝗻 2029 will be an inflection point. AI will support diverse forms of reasoning with explainability and trust. Energy efficiency will increase 4x more and scalable, operationalized AI models will be routine in enterprises. Large-scale self-supervised neural networks, i.e., foundation models, multiply the productivity and the multi-modal capabilities of AI. More general forms of AI emerge to support reasoning and common-sense knowledge. Get ready, we are just getting started!

#generativeai will accelerate content creation and real-time data analysis to serve up hyper-personalised experiences for your customers. Check out how in @IBM's latest CEO Guide to Generative AI, focussed on Marketing! ibm.com/thought-leader…

The AI Alliance is a community of tech creators, devs & adopters who'll join to advance open, safe and responsible AI. This collaboration aims to address AI's ethical, technical & societal challenges while promoting transparency & knowledge sharing. This is hugely for exciting!

🎬@CRTV_Show Ep. 69 dropped! Catch @lizkmiller & @holgermu analyzing #tech news, learn about @IBM's latest #GenerativeAI research during an interview between @rwang0 & @MatthewCandy of IBM Consulting. Hear real-time takeaways from #AWSreinvent2023 & round out w/ bloopers!

Great leadership: 1) A point of view 2) A clear owner 3) A call to action