Karan Sachdeva

IBM THINK is happening now in Boston…. Enterprise Customers are firmly supporting a number of key priories regarding AI. 1). TRUST is critical. Both the data used to train models and the governance used to ensure they act consistently in accordance with policies, intent and regulatory environments. 2) OPEN provides critical flexability to use the right model - for the right use-cases. 3) ECONOMICS matter - to go from pilot to production requires both a compelling aggregate business case and efficient inferencing unit-costs.

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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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IBM announced the availability of IBM Copilot Runway, a new offering from IBM Consulting designed to help enterprises create, customize, deploy and manage copilots including Copilot for Microsoft 365. With the new offering, clients will be able to seamlessly integrate copilots' generative AI into their organizations in order to enhance productivity and drive business success. IBM Consulting has also formed a dedicated practice of consultants with Microsoft copilot skills, credentials and expertise to guide clients on their AI transformation journey. As part of the new offering, IBM will work with clients to build custom copilots that can be tailored to fit the needs of specific business scenarios and efficiently deployed to help reduce the time and effort often required for implementations. IBM will initially focus on helping clients across priority use cases, including customer and field service, employee experience, and procurement and finance – as well as specific industries, like financial services, retail and CPG, government, and supply chain. These use cases will include:

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Kudos to the wonderful panel on 'How GenAI enables IT modernization'! The insights shared by Sanjeev "Sonny" Bhagowalia Michael Chappell Sujit Mohanty, and Robert McNamara were truly valuable. Their expertise and perspectives shed light on the transformative power of Generative AI in IT modernization. Thank you for sharing your knowledge with us. #GenAI #ITModernization #Innovation @potomic #poccio5 #vtechsolution

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I successfully completed the "Delegation" course from Harvard's Manage Mentor program. This comprehensive training provided valuable insights into effective delegation strategies, enhancing my skills.

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Belle Lin and Isabelle Bousquette assess whether cloud software companies will be ready for their AI moment. Great reporting here. Recent earnings misses by Salesforce and other cloud software firms may be tied to the fact that the AI investment cycle is still unfolding, analysts say. By necessity, the first wave of AI investment will boost the stocks of companies developing the technology’s building blocks—the chips and data centers that make AI possible to use. Shares of companies like chip giant NVIDIA and cloud infrastructure companies Google and Microsoft have surged to record highs. After that cycle, investment will go toward application and software firms, but it won’t happen for several more quarters, said Daniel Ives, managing director and senior analyst at Wedbush Securities. A third wave of investment will follow as an additional layer of applications is built, he said. Meanwhile, software and applications companies are among the first to face a reckoning as generative AI, the technology behind OpenAI’s ChatGPT, is starting to change the way enterprises buy and build their core systems. Salesforce and Workday, both software-as-a-service providers that expanded their businesses by selling corporate software in the cloud over a decade ago, are facing scrutiny from investors over what they have described as a tough deal environment. Investors sent shares of Adobe, ServiceNow and Atlassian tumbling after the companies reported results for the March quarter. The question for cloud software providers is whether they will be ready to win over cautious and budget-conscious technology chiefs when their AI moment comes. Since launching the Einstein AI platform for its flagship customer-relationship management software nearly a decade ago—which primarily focused on using AI for prediction—Salesforce has made a number of generative AI updates, including the ability to automate common sales and marketing processes, according to Jayesh Govindarajan, the company’s senior vice president of AI. For sales, service and marketing staff, for instance, its AI platform and Einstein Copilot assistant can complete tasks like write email drafts, summarize conversations, provide guidance on sales forecasts and find answers to customer support queries. Last year, the company promoted its Einstein Trust Layer as a solution for helping plug the “AI trust gap” for enterprises. Earlier this year, it launched Einstein 1 Studio and updated its Data Cloud, allowing developers to build their own AI-based apps and other automations in its suite of products, plus pull in their private data to the Salesforce ecosystem. As enterprises’ understanding of generative AI has evolved, more are looking to build custom applications and new workflows with AI, according to TD Cowen analyst Derrick Wood. “The big guys out there have a leg up,” said Aaron Miri, Baptist Health’s chief digital and information officer. The issue is whether they can capitalize on it.  

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Our multicloud collaboration with Microsoft reached new heights in Q4, with significant expansions in supporting Open AI and ChatGPT. Larry Ellison, Oracle's Chairman and CTO, highlighted the milestone of 11 out of 23 OCI datacenters now operational within Azure. Learn more about our latest achievements in the fiscal year 2024 Q4 report: [Link to the full article] #Oracle #Microsoft #Multicloud #Innovation

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"We are excited that the latest developments to Google Cloud Marketplace will enable us to further accelerate joint go-to-market solutions with not only Google Cloud, but partners across the ecosystem," Red Hat senior vice president of ecosystem success Stefanie Chiras said. Read more in the latest news from Google Cloud . #redhatpartners #redhat #google #googlecloud #marketplace

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We are seeing incremental improvements and quantum leaps in performance and productivity since Gen AI took us by surprise. The accessibility of AI tools has raised consumer expectations to higher standards. They now demand hyper-personalised experiences that also feel highly conversational. While this creates incredible opportunities for innovation, it also puts immense pressure on enterprises to deliver increasingly sophisticated experiences. But the human element in AI will always remain crucial. The most effective technologies will understand each person’s needs, context, and behaviours, then deliver personalised, accurate, and trusted experiences, while also optimising for business outcomes. This is the moment of achieving coherency. This is something that is not humanly possible without AI, or the other way around. #artificialintelligence #customerexperiences #generativeai

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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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Unveiling IBM Concert: Revolutionizing Application Management with AI Automation TL;DR - Since Arvind Krishna became IBM’s Chairman and CEO, IBM has pivoted toward hybrid cloud and AI, focusing on software and consulting for sustainable growth. The strategic spinoff of Kyndryl allowed IBM to streamline operations and emphasize annual recurring revenue (ARR). At Think 2024, IBM unveiled IBM Concert, an AI-powered automation tool enhancing application management. IBM Concert offers AI-driven insights, addressing security, compliance, and certificate management, aligning with IBM's broader automation strategy. Read my full analysis 👇 https://lnkd.in/eUdRNrXW #IBM #AI #Automation #ApplicationManagement

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Love this leaderboard - https://lnkd.in/gwAER9-U because it has cost information as well. Interesting to see that GPT-4 costs $5.25 where as Claude-3 costs $10.84 and Google Gemini-1.5-Pro only costs $0.86. Amazing difference in cost for the same task with very small change in accuracy. #llms #genai #generatieveai #capgemini #llm #opensourceai #capgeminiindia #ai #artificialintelligence #software  #leaderboard #benchmark #benchmarking

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Our mission to reconcile #sustainability and #genAI continues. An example of a "circular economy" model for the fast-moving AI era.

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Enjoyed this interview with my friend, Kumar Gandharv from iTNews Asia on ASEAN market trends and the evolution that we are seeing in the Database Market. Read on! #Aerospike #realtime #funding #graph #vector #carbonemissions #dataprivacy

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In the latest Wall Street Journal article, Tom Dotan and Deepa Seetharaman explore how tech giants are moving from giant AI models to smaller, cost-effective ones.   Smaller models, like Microsoft’s Phi, are cheaper and specialized, performing many tasks almost as well as their larger counterparts.  #wsj #AI #hpaipc

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