Srini Murty

Optimal Machine Learning (OML) leverages historical data and real-time information to suggest supply chain decisions directly, optimizing for factors like revenue and customer service. This could revolutionize how businesses manage inventory and production. While many tout AI for better forecasting, OML takes a different approach – focusing on decisions, not predictions. How can companies overcome internal silos and data challenges to implement OML effectively? #SupplyChain #MachineLearning #OML #InventoryManagement https://lnkd.in/eTnYkijM

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The Information is out with a great story of how Oracle literally turned lemons into lemonade with their excess #AI capacity. While this is obviously short term gain is this a sustainable long term strategy to build sustained profits and market position in the #aiwars going forward or is this a bridge to nowhere? What do you think? #management #venturecapital #privateequity #capitalmarkets #AI #nvidia

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Exceptional article by Walter Frick on the evolving views of economists about the impact of technology on workers, the workplace, and the economy. This is our world at KYield, Inc. -- my core patent for the KOS is optimizing knowledge yield in the digital workplace, first developed nearly three decades ago while operating the world's leading learning network for thought leaders. The name of the company is based on that theorem. Automation is necessary but woefully insufficient to achieve knowledge yield as knowledge is the domain of complex humans, even if LLM bots can mimic behavior. The more transfer of knowledge that occurs without permission, the less knowledge will be shared. One of the first lessons learned in knowledge transfer. Evidence has shown that when exploitation is excessive, false information will be transferred, as we've seen in the poisoning of LLM training data among many other case studies. Optimizing knowledge yield in the digital workplace requires a holistic systems approach based on deep understanding of several disciplines, hence the KOS (EAI OS) as the manifestation of the theorem. One of those disciplines is economics, where I've invested a good part of my career. I moderated the global economics community in our learning network (GWIN) in the late 90s, which included leading economists, and where I have conducted a fair amount of research myself. This work is mostly in the domain of behavioral economics, which is the subspecialty that best understands related phenomenon such as the influence of realized moral hazard in causing financial crises, and the wealth gap influence that can help trigger economic depressions. The land grab currently underway by LLM firms and Big Tech is actually quite similar to patterns in other industries that caused major catastrophes, such as the subprime mortgage disaster when a handful of "market makers" would have caused the collapse of the global economy if not for record levels of financial engineering by the Fed, which did severe damage to the U.S., and is still causing severe repercussions. One of many lessons in human-caused catastrophes is never allow specialists in one narrow discipline who have billions of USD at stake set the terms that impact everyone else. Surprising numbers of people have proven willing to throw society under the bus in an attempt to satisfy infinite greed or an ideological obsession. In the case of LLMs, not only do we have both greed and idealistic cults driving behavior, the implications include no less than risking the entire knowledge economy.

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Discover five strategies for dealing with the short term sales slowdown resulting from the pending 2024 U.S. election. Digital Data Design (D^3) Institute at Harvard #MTLC #BostonTech #TechHotTopicSeries

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Thank you, Paula, for the shout-out for Planning in a Box Pi Agent! The Pluto7 team deeply values our partnership with Google Cloud. Together, we're empowering businesses to conquer demand and inventory challenges with AI-powered solutions. Our Pi Agent inPlanning in a Box platform, built on Google Cloud's robust foundation (BigQuery, Vertex AI, and Gemini), delivers real-time insights and puts the power of #GenAI in the hands of supply chain professionals with PI Agent. This synergy fuels step-function value for our customers, use case by use case. We're not just keeping pace with the future of supply chain management – we're building it. #AI #supplychain #pluto7 #GoogleCloud #sapongcp #sapbtp #sap #asug #uscsupplychain #gartnersc #genai #planninginabox #GoogleCloud #GCP #googlecloudconsulting #gartnersc

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It's always a pleasure to listen to Madhav Durbha share his insights on the future of supply chain, whether it's on AI or CPG. And he's gracious enough to share those thoughts outside of RELEX Solutions, too: check out this podcast by The Millennium Alliance to explore the evolution of AI and the impact it has on the future of work, especially within supply chains. #podcast #insight #futureofsupplychain #cpg #AI #artificialintelligence

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Attention AWS partners 🚀 Transforming GenAI: From Prototype to Production - Key Takeaways from AWS re:Invent 2024 Exciting times! I just listened to Baskar Sridharan's groundbreaking session on #GenAI at #AWSreInvent. Here's why it matters 👇 The Big Picture: • We're entering "Act Two" of the #GenAI revolution • 30% of GenAI projects fail after proof of concept (Gartner) • The challenge: Moving from demos to real-world deployment 4 Game-Changing Drivers for Success: 1️⃣ Model Flexibility • 97% of AWS customers use multiple models • New Bedrock Marketplace: 100+ foundation models • Simplified model switching and evaluation 2️⃣ Cost Revolution • 500% faster processing • 75% cheaper operations • New caching features cut costs by 90% • Batch inference at 50% of regular pricing 3️⃣ Data Power • Introducing Graph RAG Knowledge • Structured Data Retrieval launch • Multi-modal data automation • Your data = Your competitive edge 4️⃣ Trust & Security • First cloud provider with ISO 42001 certification • 85% more harmful content blocked • 75% reduction in hallucinated responses 🌟 Success Story Spotlight: DoorDash transformed customer service with AWS: • Handles 100,000+ daily calls • 2.5 second response time • Millions in annual savings • Reduced agent escalations significantly The future is here - and it's production-ready! 🚀 #ArtificialIntelligence #AWS #Innovation #GenAI #CloudComputing #TechLeadership #FutureOfTech #AWSCommunity #DigitalTransformation PP Sunil Acharya Ram Lakshminarayanan Sujay Das Amit Nevatia Vikrant Satsangi Ajay Nair Jarren Tan Jasmine Thakkar Link to the video in the first link below 👇

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Oracle CEO: "If we continue on our current trajectory, reaching a valuation of a trillion dollars is inevitable" @calcalistech Oracle is doubling down on cloud infrastructure and AI to propel its growth, with an eye on becoming a trillion-dollar company. CEO Safra Catz reveals in an interview how the company’s aggressive investments and strategic expansions are poised to accelerate its financial ascent and why she’s convinced Israel will be flooded with investments after the war. “I talk to investors, and everyone knows that Israel is still the Startup Nation," says Safra Catz, CEO of software giant Oracle. "They want to return to investing here; they just need stability. I see that Israelis are tired, but I believe we are nearing the end of the war, and everything will recover. The country will be flooded with investments, literally. Israel is stronger today than in any previous war." Catz, 62, is one of the most powerful and admired executives in the world. She has worked at Oracle for 25 years, and a decade ago, founder and chairman Larry Ellison—who also serves as the company’s Chief Technology Officer—appointed her CEO. Today, she is the highest-paid woman on Wall Street, with a personal net worth estimated at $2.2 billion.

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At IMTS - International Manufacturing Technology Show, Praveen Rao, Managing Director, Manufacturing, Google Cloud, joins Drew Crowe, manufacturing's motivational speaker and hots, in the Creators Lounge to discuss how manufacturers can move beyond the AI hype to deliver business results. AI can synthesize vast amounts of information from technical equipment manuals and procedures, elevate the customer service experience and accelerate product support, provide sales recommendations based on historical sales data or give greater visibility across complex supply chain networks. Recent Google Cloud research shows that 60% of manufacturers have already moved gen AI use cases into production. To adopt gen AI with confidence and unlock its full potential, manufacturers need to ground their innovation in enterprise systems and accurate data. Visit Google at IMTS to learn more. See you there! #AI #IMTS #Manufacturing #GoogleCloud

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This is where AI can be helpful than other forms.

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Have you read the book yet ? 10X Source to Pay with Generative AI ! https://lnkd.in/gUmjehDQ If not, you can start with this podcast where Richard Waugh , VP Corporate Development Zycus and Dawn Tiura , CEO SIG|ORG demystify GenAI, talk of practical use cases in procurement, and highlight success stories from the industry and more! https://lnkd.in/gk3g9mQ7

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See how Generative AI from Canvass AI Empowers Problem Solvers and Drives Operational Excellence in #Manufacturing, as discussed in this article: https://lnkd.in/eBS3ms8V Imagine a tool that simplifies data analysis, provides real-time insights, and requires no specialized expertise to operate. This is MONET by Canvass AI. MONET is designed to be intuitive and accessible, empowering non-data experts in industrial settings to leverage AI in their daily tasks more effectively. MONET transforms manufacturing operations for engineers and operators in several ways, including: 🟣 𝗘𝗻𝗮𝗯𝗹𝗲𝘀 𝗥𝗮𝗽𝗶𝗱 𝗣𝗿𝗼𝗯𝗹𝗲𝗺-𝗦𝗼𝗹𝘃𝗶𝗻𝗴: With easy-to-use interfaces and powerful analytics, teams can quickly identify and resolve issues. 🟣 𝗗𝗿𝗶𝘃𝗲𝘀 𝗣𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲: Predictive insights from MONET help anticipate and prevent equipment failures. 🟣 𝗙𝗼𝘀𝘁𝗲𝗿𝘀 𝗮 𝗗𝗮𝘁𝗮-𝗗𝗿𝗶𝘃𝗲𝗻 𝗖𝘂𝗹𝘁𝘂𝗿𝗲: MONET's user-friendly design encourages widespread adoption and engagement with data. There are many great features of MONET and Canvass AI's industrial AI solutions, but I especially like the #DataScience capabilities: 🔵 𝗤𝘂𝗶𝗰𝗸𝗹𝘆 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝗔𝗻𝗼𝗺𝗮𝗹𝗶𝗲𝘀: Gen AI can monitor operations in real-time, detecting deviations from the norm that might indicate potential issues. 🔵 𝗔𝗻𝗮𝗹𝘆𝘇𝗲 𝗥𝗼𝗼𝘁 𝗖𝗮𝘂𝘀𝗲𝘀: With advanced pattern recognition capabilities, Gen AI can pinpoint the underlying causes of operational inefficiencies. 🔵 𝗣𝗿𝗲𝗱𝗶𝗰𝘁 𝗙𝘂𝘁𝘂𝗿𝗲 𝗜𝘀𝘀𝘂𝗲𝘀: Gen AI's predictive capabilities help anticipate potential future problems, allowing for proactive maintenance and continuous process optimization. Follow the link to start a FREE trial of Canvass AI's MONET here: https://lnkd.in/eBS3ms8V #GenAI #AI #GenerativeAI #Industry40 #Analytics #SponsoredAd

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Progressive Grocer recently talked with Abhijit Vaidya, Assoicate VP and Strategic Business Unit Head for Grocery Retail at Cognizant, to dive deeper into tackling grocery-specific challenges, the role of generative artificial intelligence (AI), how to build on omnichannel momentum, and more. ⭐ Read more 👇

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The "electric" profit shock? Thanks Vaidyanathan Anantharaman for sharing and the author for pulling together. The chart (hopefully it's accurate) provides a heatmap of #automaker profitability before tax margins for various companies from FY2020 through FY2024 Q1. So recent trends. Profitability was messy for all OEM's in and around 2020 because of COVID and #supplychain distribution. It is also hard to draw long range conclusions on each car maker outlook based on the limited trend data, however the profitability chart says something like this: 1. Consistent Double Digit Performers in Luxury: Ferrari, Mercedes and Porsche consistently show high profitability margins across the periods, often in the double digits, indicating strong financial performance and profitability. Chinese BAIC is the exception ---showing consistent double digit profitability outside of the luxury market. 2. Median Profitability for Mainstrem Brands: The median profitability margin tends to hover around 5-8%, suggesting that while some companies are highly profitable, many operate close to this range. Of course we can see some OEM's having persistent profitability struggles that they can't shake---some tied to economic cycles others are just intrinsic to the car makers business business and organization. 3. Negative Profitability in Most EV Automakers: Newer or emerging automakers in the electric vehicle sector like NIO Rivian and VINFAST show negative profitability margins, reflecting the high R&D costs and capital investments involved in scaling up production and operations. Tesla and Chinese BYD is the exception showing single profitability since 2021 4. Volume Automakers show stable profitability: Toyota North America, KIA, Hyundai Motor Company (현대자동차) and BMW Group maintain relatively stable profitability, reflecting their established market presence and efficient operations. 5. Regional and Market Dynamics: Asian Automakers seem to be leaders in cost and price (and some would say quality). For example, Toyota, Hyundai, and Kia generally show stable and positive profitability, reflecting strong market positions and efficient operations in key markets. The chart is but a snapshot in time---and does not tell for the full story of the automotive sector in terms of "making it" rain or long term positioning in EV or software. Tesla the front runner in both these technology trends has shown substantial profitability improvements, indicating potential in the #EV sector----but traveled a difficult journey with unique circumstances. There is the #autonomousdriving and #software growth factor that is likely to kick in after the dust settles in the #electricvehicle movement.

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Generative AI continues to blur the lines between IT and business, demanding a new breed of CIOs. So forward-thinking tech execs are upskilling in finance and building cross-functional relationships to bolster AI-driven revenue operations and corporate transformations.

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Another proof that advanced tech reigns supreme 🤖🌎 The latest Accenture research on #supplychain shows: Surprise, surprise: Companies leveraging #genAI, advanced #ML, and other cutting-edge technologies in their supply chains are seeing significant financial gains. Top performers are achieving an average EBIT margin of 11.8%, compared to 9.6% among their peers. One of my favorite examples from the research highlights the use of intelligent automation and blockchain to manage a retailer’s fleet of 2,000 trucks. This tech reduces errors and routine tasks, cuts driver hours, and ultimately reduces the fleet size. The retailer expects to cut costs by 20% over five years. #intralogistics #advancedtech

Think - IBM 1924 Think different - Apple 1997 Think better - Elixirr 2024 All of these slogans are a product of their time. When Apple challenged the tech market, they needed out-of-the-box ideas and products. They needed to think differently. Now, in a time of unprecedented uncertainty for businesses and a need for change, we all need to think better! "Tough times demand more than just surviving—they call for bold decision-making and a willingness to think differently" - Stephen Newton, our CEO and founder. When the industry standard is declining, our mindsets shouldn't shift to mediocrity or acceptance - we should be bold! #ThinkBetterLeadBolder

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