Scott Garvey

Very interesting article on the changing face of AI. The core of this changing approach is that the AI models are being tuned to the specific needs of the industry or domain so they become more contextually aware.

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Did the recent Oracle Database 23ai announcement pique your curiosity about AI and vector? Learn what vector is and discover 5 advantages of using an integrated vector database for your AI development. #oracle #database #AI #AI23 https://lnkd.in/euX6zhkk

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Just found out about HeatWave GenAI, Oracle's latest AI innovation. It offers in-database large language models, automated vector processing, and multilingual support across 27 languages. As someone who experiments with AI, this is pretty exciting because it simplifies AI integration and reduces costs, even running LLMs on CPUs instead of GPUs. Looking forward to using it for real-time language translation and secure AI applications and using it in Dhivehi context. Check out more here: https://lnkd.in/giZkzCq2

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This is where AI can be helpful than other forms.

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With MongoDB, we help engineering leaders get off the modernization hamster wheel and embrace predictable, optimised spending that fuels their most ambitious initiatives. With powerful features like automated cluster sizing, on-demand pausing, and granular spend visibility, MongoDB Atlas helps you right-size your data infrastructure and take complete control of your IT costs. Perfect way to break free from the constraints of economic uncertainty and get easier budget approvals. This blog helps you understand how MongoDB Atlas can help you take better control of your data costs. #MongoDB #cloud #innovation

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.@Informatica’s blueprints outline how to build generative AI apps in the cloud https://bit.ly/3AhG2fm @SiliconANGLE @Mike_Wheatley “Informatica’s blueprints look to be a nice approach and if they can reduce the time to go live for enterprises, they’re…” #NextGenApps

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Many companies are finding this out the hard way by trying to do an AI project without great data. Garbage In = Garbage Out. Slalom and Snowflake can get your business on the right path to AI success. #datastrategy #data #ai

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As the #cloud market evolves, Forrester highlights key shifts expected to take center stage in 2025 🦾🌥 1️⃣ 𝗥𝗔𝗚-𝗯𝗮𝘀𝗲𝗱 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 With foundation models showing accuracy challenges, hyperscalers will increasingly turn to Retrieval-Augmented Generation (#RAG) to boost precision in #AI outputs, helping businesses maintain reliable, high-quality interactions. 2️⃣ 𝗥𝗲𝘀𝘂𝗿𝗴𝗲𝗻𝗰𝗲 𝗼𝗳 𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗖𝗹𝗼𝘂𝗱 As companies prioritize #data sovereignty, security, and cost control, #privatecloud options—especially alternatives to dominant providers like VMware—are on the rise. Expect to see platforms like Nutanix and OpenStack gaining ground. 3️⃣ 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗣𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀 #Security vendors such as Cisco, Palo Alto, and Wiz will pose stiff competition to native cloud platform security, offering enhanced tools that cater to #multicloud needs, with nearly half of cloud customers predicted to adopt these specialized solutions. As these trends unfold, the cloud landscape will demand even greater #flexibility and #innovation from businesses and technology leaders 🚀🚀 🔗 in the comments 👇 #CloudComputing #Cybersecurity

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The opportunity to continuously learn as the rate and pace of technology innovation accelerates… turning the hype of Gen AI into real business benefit is going to take well informed focus. Onward…

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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/gQYb32xy

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Wait, what platform does IBM choose for enterprise AI dev and deployment? ... Within the platform, watsonx.ai is an AI studio that supports all phases of AI development and deployment; watsonx.data is an open data lakehouse optimized for AI; and watsonx.governance takes advantage of IBM's deep roots in data governance to ensure trust, accountability and transparency for AI processes and projects. Built on Red Hat OpenShift, the platform is designed to be flexible enough to accommodate widely different functions—anything from cutting-edge data science to the nitty-gritty of optimizing financial portfolios, marketing campaigns or supply chains. It can also automate specific tasks from software coding to compliance reporting, in many cases reducing costs and cycle times by more than half. Red Hat OpenShift, obviously.

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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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Fishbowl Solutions just signed up another customer for our Enterprise Content-centric Generative AI platform based on Oracle Content and GenAI. https://lnkd.in/g2dYBBu3 McKinsey is doing exactly what we are helping companies do - and we do it at a FRACTION of the cost and time to market. https://lnkd.in/gFY8SKXJ NOTE: in section 3. Five lessons from Lilli’s development. The second most critical point is "Be vigilant about data curation". DM me to see a demo in action.

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Enterprises can now leverage the transformative power of NVIDIA AI computing and services from Teradata Think Big Analytics to jump-start artificial intelligence!

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The story continues… hybrid cloud and AI is the chosen model, as it gives clients provider optionality and technological ambidexterity - the gateway to revenue growth and concurrent cost leadership. https://lnkd.in/gfD_xenT

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I had an incredible time presenting at the session on "How Microsoft Can Help You Build and Sell Differentiated AI Apps" at #MSIgnite. We delved into the transformative potential of #AI, likening its impact to past technological revolutions like the steam engine and electricity. AI is truly a game-changer, and it's exciting to see how it will continue to revolutionize our world.    One of the highlights was discussing how AI is democratizing technology, making it accessible to everyone. From Siemens' natural language copilot for factory workers to Visier Inc.’s Gen AI journey enabling them to roll out solutions to enterprise customers and partners, the possibilities are endless. It's amazing to see how AI is being used for good and making a real difference in people's lives.    We also emphasized the importance of growth and retention in the #SaaS model. Expanding revenue through new channels and retaining customers are essential strategies for success. Let's keep pushing the boundaries and exploring new opportunities!    Exciting times ahead!    Thank you to everyone who joined us and contributed to the insightful discussions. Let's continue to innovate and leverage AI to create a better future. #AI #Innovation #TechRevolution #SaaS #BusinessGrowth #Partnership Adam Binnie, Jeff Zobrist, Mike Hulme, Mandy Whaley & Yina Arenas https://lnkd.in/gaMYeXJk

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Exciting times in the world of #AI! As AI continues to evolve, the role of intelligent agents—like #Bing Search and SharePoint—has become more pivotal than ever. Microsoft Azure AI Agent Services, a suite of managed services designed to automate AI-enabled business processes, is leading the charge in this space. At Core42, we’re thrilled to announce that our Compass AI inferencing platform will soon integrate AI agent services, thanks to our deep collaboration with Microsoft. 🚀 Together, we’re shaping the future of AI-driven solutions. Stay tuned for more updates as we bring this vision to life! 💡#MicrosoftAzure #AIInnovation #Core42 https://lnkd.in/emk4Tt3w

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Learn the foundational concepts behind deep learning and artificial neural networks in this new course from HPE. Dive into the evolution of data science, understand key functions, and explore various industry use cases. Register now!

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