Rob Thomas

GenAI for Business – a major step forward:  IBM #Granite3.0, the third generation of the Granite series of large language models (LLMs) enables enterprises to pursue frontier model performance at a fraction of the cost – and continues our focus on #OPEN, #TRUSTED, #FIT-FOR-PURPOSE, #HIGHLYEFFICIENT GenAI Granite 3.0 8B Instruct is trained using a novel two-phase method on over 12 trillion tokens of carefully vetted data across 12 different natural languages and 116 different programming languages, The IBM Granite 3.0 release comprises: > Dense, general purpose LLMs: Granite-3.0-8B-Instruct, Granite-3.0-8B-Base, Granite-3.0-2B-Instruct and Granite-3.0-2B-Base. > LLM-based input-output guardrail models: Granite-Guardian-3.0-8B, Granite-Guardian-3.0-2B > Mixture of experts (MoE) models for minimum latency: Granite-3.0-3B-A800M-Instruct, Granite-3.0-1B-A400M-Instruct > Speculative decoder for increased inference speed and efficiency: Granite-3.0-8B-Instruct-Accelerator Details here: Onward….

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Last week, I had the opportunity to meet with the IBM team to discuss their AI LLM strategy and capabilities. Today, they announced the release of IBM Granite 3.0, now integrated into IBM Consulting Advantage. These models offer advanced AI capabilities for cloud transformation, business operations, and more, and are designed with a focus on performance, transparency, and responsible AI. Trained on enterprise-specific data, Granite models are more efficient and cost-effective than many larger frontier models. In summary, Granite 3.0 aims to accelerate enterprise innovation and enhance client ROI. #EnterpriseAI #AIPowered https://lnkd.in/eRNkfbna

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If you are interested in building (or rebuilding) you martech stack for the future - don't hesitate to be in touch with us at Avaus! Those of our clients who have taken a data centric approach demonstrate ✅ Higher automation levels ✅ Better ROI (often due to easier activation in paid media) ✅ Higher level of AI decisioning ✅ Faster time to value for every incremental use case or segment ✅ Other benefits such as improved data for other purposes than marketing, a more data driven culture, and general AI readiness #datadriven #marketing #composable #customerdata #warehousecentric

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An on premises bill of Dell materials is under $100k to run your own AI inference. For those cost conciouse CIOs this may be a point to re-evaluate the on/ off prem mix.

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In the rapidly evolving world of AI, understanding the difference between #PrivateAI and #PublicAI is key for enterprises across various industries, distinction is not merely technical; it carries significant implications for data security, operational efficiency, and competitive advantage. Watch Adam Glaser, Senior Vice President of Product Management at Appian Corporation, discussing this in detail with TechDay Australia 👉

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Publicis Sapient Deepak Arora, CTO and Head of Engineering, MENA, shares how to deploy Gen AI solutions at scale without spending excessive time and money assembling tools and solutions from various vendors. Read more here: @AWSPartners #GenAI #LLMOps

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#IBM and #Ferrari --> a shared passion for innovation and excellence. Coming Soon:  a fully reimagined mobile app that will apply IBM's technology and consulting expertise to analyze and transform Ferrari's massive volume and variety of #data – both current and historical – into custom #insights, #personalized content, and innovative #features designed to supercharge the #Fan #Experience. Sports has proven an amazing opportunity to showcase the power of leveraging #Enterprise Data to personalize #experiences…. putting fans in control of how they engage with world leading Brands. The precision, speed and excellence that is a hallmark of #Ferrari provides an amazing innovation opportunity to highlight #best-in-class fan engagement.... and why I am extremely proud of the new partnership with IBM and Scuderia Ferrari https://lnkd.in/gy5xqnv3

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This will make life easier for researchers, product designers, and anyone diving into their data. Analyzing large datasets will be orders of magnitude faster, and product design gets a creative boost with quick concept testing and broader "what if" scenarios accessed by natural language. Well done—this should drive a ton of third-party innovation.

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Oracle and TIM's expanded collaboration is a significant step towards the availability of #cloud services to public and private enterprises in Italy. The telecommunications giant will leverage OCI for mission critical workloads and become the host partner for Oracle’s second planned cloud region in Italy. Learn more from Oracle’s EVP of Technology here: https://lnkd.in/evdZUEpE

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Watch Oracle's Kothanda Umamageswaran and Jia Shi discuss how Oracle’s next-generation Exadata Exascale cloud--the world’s only intelligent data architecture for #cloud--helps enterprises overcome challenges and economically achieve their goals. https://lnkd.in/gkDxEqeZ

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In 2024, generative #AI emerged as a key driver for business outcomes across every industry. Already this new generation of AI is having an incredible impact on our world — yet companies and industries are just scratching the surface of what’s possible as they continue to develop new use cases across every role and function. To help guide organizations on their AI transformation journey, Microsoft recently commissioned a new study through IDC, The Business Opportunity of AI. IDC’s findings show that when organizations truly commit to and invest in AI, the return on investment (ROI) potential grows significantly. #AI #GenAI #Microsoft #Avanade

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We know that generative AI has little precedent when compared to past emerging technologies — both in hype and potential — and according to our new research, CEOs agree. In this episode of Top of Mind, Distinguished VP Analyst Mary Mesaglio discusses the latest Gartner CEO Survey, which highlights how CEOs are personally embracing GenAI, the challenges in applying it to their customer value propositions, and how they weigh the potential benefits and perceived risks. Explore the executive’s guide to understanding, implementing and planning for the future of GenAI: https://gtnr.it/4ecJAOW #CEO #GenAI #AI

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My recent episode on #ExperiencingData with Brian T. O'Neill is live!! We discussed the various approaches organizations use to successfully deliver GenAI solutions, and how human-centered #design drives #innovation in #AI, #datascience & #analytics.

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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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AI is the technology of the moment — and it’s a core part of our strategy and work at IBM. That’s why today at #Think2024, we announced the next chapter in our AI story, including: 1️⃣ Open-sourcing our Granite LLM models — to help push innovation forward and ensure that the future of AI is open, collaborative, and secure 2️⃣ Launching InstructLab alongside Red Hat — a new methodology that allows for continuous open-source development of AI models through incremental advancements 3️⃣ Unveiling a new vision for our data and automation capabilities & accelerating gen AI into our new IBM assistants 4️⃣ Expanding our existing collaborations and partnerships across the industry to expand our capabilities and model choice through watsonx I’m looking forward to this next phase of our work — and know that alongside our clients an partners, we can build a future for AI that works for everyone. Learn more: https://lnkd.in/des8AiBV

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Partnerships, multicloud strategies, and autonomous AI security - all great insights from Oracle on day one of CloudWorld from Safra Catz and Larry Ellison. This isn't just interconnected clouds, this is Oracle Cloud Infrastructure sitting inside AWS datacenter providing customers with the best possible database and network performance. #Oracle #CloudWorld #Partnerships #Multicloud #AI #Security

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Only 53% of AI projects make it from pilot to production—are you ready to beat the odds? Gartner breaks down how executives can align AI with business goals, safeguard data, and manage risks. When done right, AI integration could lead to 30% operational cost savings. Read more: [https://lnkd.in/gRgcVPsM) #AI #Leadership #DigitalTransformation #Innovation #BusinessStrategy

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