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Ari Yacobi
Irvine, California, United States
5K followers
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Rudina Seseri
How are you using LLMs in your business? Generative AI is advancing at a rapid pace, with the major Large Language Model (LLM) providers announcing new models and features almost every month. As these technologies become embedded into intelligent vertical applications, we move towards the future of mainstream enterprise AI. In my recent AI Atlas, I took a step back to dive into the current state of LLMs, including which features are helping to move the needle for enterprise adoption, the features still needing improvement, and the most common use cases we’re seeing in the field today. https://lnkd.in/eMhDA6f9
292 Comments -
Evangelos Simoudis
#AI solution providers and infrastructure providers committed to spend $1T on AI-related capex over the next few years, in anticipation of high demand for and heavy use of #generativeAI #enterprisesolutions. What return on investment (#ROI) does an enterprise need from each generative AI solution it deploys so that it can cross the generative AI chasm and for the huge investments in software, data, and infrastructure that have been committed to be justified?
152 Comments -
Scott Griffiths
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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Evangelos Simoudis
Ben Lorica 罗瑞卡 and I continue to write and speak about similar #AI topics. After I wrote https://bit.ly/46M9gi6 we decided to have another on-air conversation about #generativeAI in the #enterprise. I always look forward to these conversations (public and private) with Ben. His in-depth knowledge of the subject and his penetrating questions make them a learning experience.
62 Comments -
Michael Cutler
The future of AI isn't a sudden leap, but a steady climb. INSEAD experts predict a fusion of rule-based and neural systems, promising enhanced accuracy and broader knowledge. Yet, the holy grail of human-like AI remains elusive. What's your take on AI's evolutionary path? #ArtificialIntelligence #FutureOfTech #AIEthics #InnovationTrends #TechLeadership
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Dr. Tianyi (TJ) Jiang
As a tech entrepreneur, I've learned that building a lasting business requires an unwavering focus on the fundamentals - strong financials, a passionate team, and innovative products. In a recent episode of M&A Science, I had the opportunity to share some insights on navigating the challenges and opportunities that come with growing a tech company, both organically and through strategic acquisitions. I'm grateful to the M&A Science team for providing a platform to discuss these important topics. Building a successful tech company is a marathon, not a sprint - I hope the experiences I’ve shared can be helpful to fellow entrepreneurs on that journey. Listen to the episode here: avpt.co/40IxOrr #MAScience #TechEntrepreneur
524 Comments -
Kjael Skaalerud
A 12% YoY Dip in Cloud Cost Optimization Searches Signals a Shift in How Companies Leverage the Cloud. 𝗦𝗮𝗮𝗦 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗮𝗿𝗲𝗻'𝘁 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝘁𝗼 𝘀𝗵𝗶𝗳𝘁 𝗶𝗻𝘁𝗼 𝗻𝗲𝘄 𝗰𝗹𝗼𝘂𝗱 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀; 𝘁𝗵𝗲𝘆'𝗿𝗲 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗶𝗻𝗴 𝗳𝗼𝗿 𝗴𝗿𝗼𝘄𝘁𝗵. Cloud cost optimization remains a high priority for 95% of CXOs over the next two years, according to Battery Ventures's State of Cloud Software Spending report. However, the preference for third-party FinOps solutions over provider tools suggests companies want to maximize their current cloud environments, not just jump ship to cut costs. With egress fees making it expensive to move data out, companies are incentivized to stay and use FinOps tools to cut cost inefficiencies and invest in revenue-generating optimizations instead. This growth-oriented approach further manifests through cloud-hosted Digital Sales Rooms adoption to boost sales. These centralized spaces revolutionize how sales teams engage prospects through multimedia presentations, real-time collaboration, and seamless content sharing—bringing value propositions to life. The ROI is impressive. Take RELAYTO/ Content Experience Platform, for example, delivering a 47x return over three years and 54x annually once fully ramped, with a two-month payback. Most importantly, conversion rates are up 93% compared to traditional sales meetings. This boost in conversions seems to outweigh the costs. It's no wonder I've been seeing more and more SaaS companies adopting this trend. What do you think about Digital Sales Rooms? Click 'Follow' for your regular dose of insightful micro SaaS content. #Cloud #Sales #SaaS #Technology
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Joe Rohner
Join us for a great conversation, hosted by the Atlantic Council, on the transformative impact of Artificial Intelligence (#AI) on the global business landscape, highlighting how AI-driven strategies are revolutionizing industries worldwide. My brillant Booz Allen Hamilton colleague Geoffrey M Schaefer will be part of the conversation! Register at the link below: #aiApril #ResponsibleAI
61 Comment -
Douglass Ewald
The Future of AI success can be found well beyond large machine language models and embedded in "First-Order Data Sets" that define a company's unique skills. AI also provides the opportunity for "copilot" mentoring for young employees to give them a knowledge resource that provides constant training, experience and real time feedback to accelerate learning and productivity. https://lnkd.in/esSaUnUi
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Norbert Mehl
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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Michael Cutler
Generative AI is outpacing the internet and PCs in adoption speed. Nearly 40% of U.S. adults have embraced this technology in just two years, compared to 20% for the internet and PCs in their early days. This rapid uptake signals a seismic shift in how we work and interact with technology. Are you ready for the AI revolution? #GenerativeAI #TechAdoption #FutureOfWork #AIRevolution #DigitalTransformation
81 Comment -
Rimah Harb
Accenture forms new Nvidia business group focused on agentic AI adoption Accenture and NVIDIA have expanded their partnership, launching a new business group dedicated to accelerating AI adoption for our clients. Leveraging the Accenture AI Refinery platform, built on NVIDIA’s cutting-edge AI stack, this is set to redefine the landscape of agentic AI. 🌟 What is Agentic AI? Agentic AI enables systems to autonomously perform tasks and make decisions within defined parameters—transforming how enterprises integrate AI into their workflows. With only 10% of companies fully scaled in generative AI, the new group aims to help businesses overcome common challenges like cost, complexity, and talent readiness. 💡 Key Highlights: 30,000+ Nvidia-trained AI practitioners ready to support our clients. Launching the Nvidia NIM Agent Blueprint for simulating virtual facilities, boosting design speeds by 50% and reducing cycle times by 30%. Integrating the AI Refinery platform within our marketing function, leading to up to 55% faster speed-to-market. With new Engineering Hubs in Singapore, Tokyo, Malaga, and London, we’re committed to equipping our clients with the tools they need to reinvent their business processes and unlock the full potential of AI. For more information read the CIO Online article https://lnkd.in/dV5fRHpj #Accenture #Nvidia #AI #Innovation #DigitalTransformation #AgenticAI #GenerativeAI #BusinessTransformation
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Simon Torrance
Salesforce CEO Marc Benioff has been promoting the concept of the ‘𝗔𝗴𝗲𝗻𝘁-𝗙𝗶𝗿𝘀𝘁’ 𝗼𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻 recently (https://lnkd.in/e8iTUuG2), but its relevance extends far beyond any single vendor's vision—it represents a fundamental shift in how enterprises operate in an AI-driven world. Most organizations who are using AI today are doing so in isolated pockets: perhaps a chatbot for customer service, predictive analytics for sales, or automation for specific back-office tasks. The Agent-First Organization is like an 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗲𝗱 𝘁𝗲𝗮𝗺 𝗼𝗳 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀, handling complex processes end-to-end. Less "chatbot" and more "augmented organisation" that scales instantly without proportional costs. AI agents are like digital employees with specific roles and responsibilities. They can understand context, make decisions, and work together. Let’s take a 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: • Traditional AI: A chatbot handles basic queries and escalates everything else to humans • Agent-First: An integrated team of AI agents manages the entire customer journey: o One agent understands the customer's history and current needs o Another checks inventory and delivery systems o A third coordinates with billing and payments o A fourth schedules technical support if needed o All working together seamlessly, only escalating truly complex issues 𝗞𝗲𝘆 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝘁𝗼 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀 📈 Scalable Growth Without Linear Costs 💰 Dramatic Cost Base Reduction 🎯 Enhanced Customer Experience 🚀 Accelerated Revenue Growth 𝗘𝗮𝗿𝗹𝘆 𝗽𝗿𝗼𝗼𝗳 𝗽𝗼𝗶𝗻𝘁𝘀 Think of it like the early days of autonomous vehicles: we've moved from basic driver assistance to fully autonomous Waymo fleets But the future’s already here. See this groundbreaking case study from a European insurer: https://lnkd.in/eeU3Ti-m The question isn't whether to embrace agent-first approaches, but how to implement them effectively while managing associated risks. #agenticAI #aiagents #agentfirstorganisation #augmentedworkforce #augmentedorganisation
8220 Comments -
Jaye Connolly
I’m incredibly honored to join the board of Parsley360, a company founded by legendary Sheryl Anjanette that is genuinely redefining how AI can be used for good. Parsley’s empathy-driven AI platform isn’t just about automation—it’s about transforming how organizations tackle complex challenges like burnout, retention, and performance with real-time, actionable insights that truly make a difference. With over 40 years (wow, I am "seasoned," haha) of experience in technology, healthcare, and climate, I’ve seen firsthand the power of AI. I led an AI company that is now a key part of UnitedHealth Group. Parsley is taking AI to the next level, using it to align people, processes, and performance in ways that are not just innovative but game-changing. I’m excited to bring my background in AI, big data, blockchain, and scalable infrastructures to Parsley as we push boundaries and drive strategic growth. Together, we’re creating a future where AI isn’t just intelligent—it’s empathetic and transformational. #Honored #AIForGood #EmpathyDrivenAI #StrategicLeadership #CorporatePerformance Craig Martin Antonio J. Viana Mark Morsch Ken Kaufman
2210 Comments -
Pradeep Saha
As AI continues to revolutionize the way businesses operate, companies are realizing the importance of having a Chief AI Officer. This role is becoming increasingly crucial as organizations seek to navigate the rapidly-evolving AI landscape. Establishing a Chief AI Officer can help companies develop and implement AI strategies that align with their overall business objectives. With the right leadership in place, businesses can stay ahead of the curve and maximize the benefits of AI.
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Ankur Sinha
AI leaders have a crucial chance to address risks now and strengthen governance practices before playing catch-up to regulations, notes Kjell Carlsson, Ph.D. of Domino Data Lab. In a recent VentureBeat article, he shares his perspective on California's AI bill veto and why proactive governance is key to the future of AI innovation. Learn more about this addressing this opportunity: https://gag.gl/4WCTkP #AI #AIGovernance #AIInnovation #DataScience
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Ouahid Seghir
While there is clear interest in enhancing existing products with generative AI, the revenue model for tech general managers is unclear. Leverage one of these 6 GenAI pricing models to test the tolerance for monetization in your market. Gartner for High Tech | #GeneralManager #Tech #GenAI #AI #GartnerHT
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Merv Adrian
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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