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Saratoga, California, United States
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https://www.phison.com/en/aidaptiv-plus-ai-data-storage-solution
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Articles by Brian
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Dramatically Accelerate Analytics and Deploy Agile DevOps with Invisible Infrastructure
Dramatically Accelerate Analytics and Deploy Agile DevOps with Invisible Infrastructure
Hear how Hallmark Business Connections (HBC) dramatically sped up the delivery of reward and incentive programs for…
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11K followers
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Brian Cox shared thisFor all my friends in London, here is an opportunity to learn how optimize your demand gen revenue and have a fun night out, too!Brian Cox shared thisExcited to announce that RevSure AI and Convertiv will be co-hosting a proper rooftop event for GTM executives in downtown London next week. This event serves as a kickoff for the 6sense Inspire conference, yet all B2B marketers, regardless of their tech platforms, are welcome to join us. Please register soon to ensure we have an accurate headcount and secure your place. The Fab 3, including Alex Cox, Tim Radwanski, and myself, look forward to meeting you. For more details and registration, visit: https://lnkd.in/ey94Whvz
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Brian Cox shared thisThe enduring values of Inamori Kazuo reminds me of my time at Hewlett-Packard where I️ spent half my career. When I️ worked at HP the founders were still alive and they instilled a similar approach to the business. It was remarkable on how their focus on always doing the right thing even if it was not expedient set them apart. The world needs more leaders like Inamori Kazuo, Bill Hewlett and Dave Packard.Brian Cox shared this"I'm too old to start over." If Inamori Kazuo had believed that at 78, Japan Airlines would have stayed bankrupt. Instead, he took a ¥1-a-year salary, returned JAL to profitability in 24 months, and used the same six questions he'd used to build Kyocera and KDDI: Kyocera is still worth roughly $15 billion. KDDI is Japan's second-largest telecom. JAL is back on the Tokyo Stock Exchange... and the salary Inamori took to rescue it was literally ¥1 per year. One yen. What is remarkable is not only the scale of what he achieved, but the consistency of the philosophy behind it. Across very different industries and situations, he repeatedly returned to a small set of fundamental questions when making decisions. I believe these questions are especially relevant today, as AI accelerates the speed of analysis and execution. In such an era, the true differentiator becomes the quality of human judgment. Here are six questions Mr. Inamori emphasized: 1. "Is it the right thing to do as a human being?" Not as a CEO. As a human being. Mr. Inamori believed most ethical failures in business come from leaders who switched moral frames depending on the role they were in. The check is to keep the frame constant. 2. "Are we doing this for the right reason?" Strip away the strategic justification, the competitive pressure, the board expectation. What's the real intention behind the decision? 3. "Have we put in the maximum effort, every day?" Not "are we working hard." Not "are we trying our best." But whether we are truly committed to continuous improvement with sincerity and discipline. 4. “Does this decision create value for customers, employees, and society?” Many businesses optimize for one stakeholder. Few create alignment across all three. 5. "Will I still be proud of this decision in 30 years?" A long-term perspective changes the nature of decision-making. 6. "Are we controlling our emotions, or are our emotions controlling us?" Some of the worst business decisions are emotional reactions disguised as strategy. What stands out to me is the simplicity of these questions. They are not sophisticated frameworks. In fact, almost everyone already knows them. The difficult part is having the discipline to consistently apply them. Especially under pressure, uncertainty, and success. Perhaps that is why Mr. Inamori’s philosophy continues to resonate across generations.
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Brian Cox posted thisToday is the first day of my retirement. After a 40+ year career in high tech it is time for some new adventures and new contributions. I️ wish you thank the co-workers, bosses, friends and family who put their faith in me, challenged me and supported me along the journey. I️ will stay living in Silicon Valley (the weather is great and the diversity is fabulous). And I️ will continue to monitor the progress of AI. Maybe even write some blogs about AI targeted for other retirees who are trying keep up with it. In the meantime, I️ will do some traveling and home projects for the Summer and assess next steps after that in the Fall. If you wish to get lunch or coffee, I️ should have the time. Happy trails.
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Brian Cox shared thisPhison where I️ work is hiring an Event Planner. Can be located remotely in the US. https://lnkd.in/gTu2c76e Apply online.
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Brian Cox shared thisJeff Otchis is a great Product Manager and Product Marketer, both as an IC and leader. Any Tech company would be fortunate to have him on your team.Brian Cox shared thisHi everyone, I hope this post finds you well and that you all had a wonderful Thanksgiving. Earlier this year, I was caught in a large layoff at my old employer, LevelBlue (formerly AT&T Cybersecurity). I have been fortunate to enjoy some time off (aka "funemployment") and now I'm ready to return to the workforce. **Addition to the initial post* In hindsight, with all of the churn over the last couple of months, I just realized that I failed to share my gratitude and appreciation for all of the colleagues that I worked with during my time at LevelBlue. I know that many of you have since moved on, but I truly did appreciate the time and partnership during the evolution of the organization over the past 4 1/2 years. It was quite a journey and I was glad to be able to join you all. And I look forward to catching up with many of you down the road over a flaming cocktail in an awesome tiki bar. The first round is on me! * After spending much of the past 6 years in Product Management, I'd welcome a return to Marketing, either of the Product or Field varieties. I'm still in the greater Austin area and not looking to move, although some work travel would be a plus. While many companies slow hiring this time of the year, I'm hoping to use the next few weeks reconnecting with many of you and learning about all of the many opportunities out there. So if your organization is expecting some openings in Q1 of 2026, please reach out. Cheers!
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Brian Cox reposted thisBrian Cox reposted thisPhison’s aiDAPTIV+ AI solution was recently honored with the 2025 LearnX Gold Award in Australia. The LearnX Awards spotlight excellence in education and talent development, recognizing organizations and technologies that drive innovation in learning and training. This recognition underscores Phison’s leadership in advancing AI technology and nurturing future talent. Since its debut, Phison’s aiDAPTIV+ AI solution has captured significant attention worldwide. It enables dynamic resource allocation across HBM, GDDR, and cost-effective NAND flash, reducing overall hardware expenses while dramatically lowering the dependence on expensive, power-hungry GPUs for model training. Phison is committed to integrating AI into education and talent development. In addition to offering AI training courses, we provide cost-effective AI training PC for individuals, schools, and enterprises, empowering users not only to perform inference, but also to learn how to fine-tune models. This helps address the global shortage of LLM training talent and enables users to train customized models with their own data, accelerating the widespread adoption of AI capabilities. #Phison #aiDAPTIV #LearnX
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Brian Cox shared thisWhy the planet earth is such a special place.
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Brian Cox shared thisThis 40-second video is a short summary on how Phison has innovated the AI infrastructure stack. We train bigger LLMs and speed-up inference response. All done 100% privately at a fraction of the cost of traditional approaches. K.S. Pua Wei Lin Sebastien Jean Michael Wu Loreta Tarozaite Chris Ramseyer Dennis Garcia, PMP Aaron Pham Kevin To Peter Cmaylo Peter Johnson Kai-Hsiang(Sean) Yang Tim (Kao-Ting) Hsu Lynn Kelly (Grigsby) Louis Liao Joanne Chen 陳冠文 Emily Chen 群聯電子 PHISON ElectronicsBrian Cox shared thisThink your university needs expensive servers for training AI on academic data? Think again. Get breakthrough performance on everyday devices with aiDAPTIV+.Think desktop, not datacenter, for AI inferencing and training.Think desktop, not datacenter, for AI inferencing and training.
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Brian Cox liked thisBrian Cox liked thisTwo years at RevSure today. I have stopped counting years. I count conversations now. The 7am Slack that starts with "quick question" and is never quick. The renewal call you prep for like a final exam. The moment you say "I do not know yet" out loud and then live with it until you do. That is where the real job lives. Two years in, here is what I know. This role is about the person on the other side. What their CEO asked them last week. What they are on the hook for. What a win looks like from their chair, not mine. Nobody teaches you that in onboarding. Customers teach you that. One hard conversation at a time. So here is what I am actually celebrating today. Every person who picked up the phone, pushed back, told me the truth, and trusted me to come back with an answer. That trust was never handed over. It was built. I do not take any of it for granted. And the work I care most about is still ahead. More to build. More to figure out. More to unlock together. Two years down and the best is yet to come.
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Brian Cox liked thisBrian Cox liked thisEarlier this year I decided to start my own newsletter. Today it goes to almost 10,000 subscribers, with issues regularly clearing 40 percent open rates. I went in expecting 15, maybe 20. That's what everyone tells you a good newsletter about GTM does. My reason to start the Moneyball CMO was simple: I wanted to own my distribution. Most of us in GTM are renting our audience. From an algorithm, or an events calendar, or from a paid channel that gets a little more expensive every quarter. The moment you stop paying, the audience is gone, because it was never yours. A newsletter is the opposite bet. It's slow to build and a little boring to maintain, but it's YOURS. What surprised me wasn't the numbers. It was who was reading: CMOs forwarding issues to their teams, Ops leaders replying with sharper data than I had and people who want to hear how the best marketing and GTM leaders actually run things, not how they describe it on a panel. An owned audience is the only channel I know that gets cheaper the longer you run it. If you want to see what 10,000 marketers are opening every week, the Moneyball CMO link is in the comments. Subscribe to it.
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Brian Cox liked thisBrian Cox liked thisI was on a hostile call with an executive team recently. And somewhere mid-argument, they started selling RevSure to themselves. Better than I could have, honestly. They came in swinging at attribution. You track all this activity, but how does that become a number anyone can defend? That kind of opening. Then one of their founders stopped himself mid-sentence. Fine, he said, we log the webinars, we log the customer stories. But wait. Our CEO had lunch with their team five times between opp creation and close. So the model gave all the weight to the tracked stuff, and the five lunches were where the value was. Exactly. Then his colleague piled on: these weights feel arbitrary anyway. Also true. And that's the part attribution vendors won't say out loud. In rules-based attribution, somebody sits down and decides a demo is worth 3x a webinar. That's not measurement, that's an opinion. Of course it feels arbitrary. So don't do it that way. We just run the math across every opportunity, won and lost, and let it figure out what each interaction was worth. If every deal got the same 20 product emails whether it closed or not, those emails mean nothing. The math catches that. A person picking weights almost never does. And yes, the calendar invites for the lunches get picked up too. Look, you know your business better than any model. Your instinct might beat the default. But let the algorithm propose the weights first, from evidence. Then argue with it. That's a much better fight to have.
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Brian Cox liked thisBrian Cox liked thisAfter an incredible 4 and a half years at RevSure AI, I’m taking a break to focus on my health and personal interests. I’m truly grateful to Deepinder Singh Dhingra for the opportunity to be part of the founding team and everything I got to do at RevSure. I’m proud of what we have accomplished so far as a team and excited for what is ahead for the company. I can confidently say we have built the most complete AI Context Layer in the market for GTM teams. This journey wouldn’t have been as much fun without the amazing colleagues that I had the good fortune of working with. The list is long and I will probably miss a few, but a huge thank you to everyone who supported me along the way: Shantanu Shrivastava, Rahul Kumar, Azharuddin Hakim, Vivek Gautam, Jhilmil Baheti, Chandana TK, Alex Cox, ⚡️Francisco Oller Garcia, MBA, Harry Hawk, Chiranjeetsinh Jadeja, Veerabhadrayya Salimath, Aastha Sinha, Akash Sharma, Babilu Chummar Joshy, Saad Shaikh, Ashok R.aikh, Ashok R., Ravi Sadhwani, Vinay N M, Aditya Munshi, Bangarraju K.R.V.N. Wishing the entire RevSure.AI team the absolute best as you continue to chase even bigger dreams. Onwards and upwards! 🚀
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Brian Cox liked thisBrian Cox liked thisRevSure AI entered one of the most crowded categories in software. Copying the leaders would have killed us. Building here taught me five things about competition. 1. Your own roadmap is usually the bigger threat. A competitor can take one deal. A year spent reacting to them can take the company. 2. A copied feature is evidence that you found something valuable. It is also a reminder that features are temporary advantages. The understanding behind them compounds longer. 3. The most dangerous competitor is often “do nothing.” Customers rarely reject you because another homepage had better positioning. They reject change because the problem is not painful enough, the proof is weak or the organization is not ready. 4. Lost deals teach more than competitor matrices. A loss shows where trust broke, which stakeholder was unconvinced and whether the promised outcome was worth the disruption. A feature grid shows what somebody else already shipped. 5. Competition validates demand, but it can also trap everyone inside the same definition of the market. We started RevSure in attribution. If we had spent our time watching attribution vendors, we would have built a better attribution dashboard. Customers kept showing us a larger problem: every GTM system held one fragment of the buyer, and nobody could reconstruct the entire revenue journey. That pushed us toward the Context Layer. Competitors can tell you what the category values today. Customers reveal what the category has not learned to value yet.
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Brian Cox liked thisBrian Cox liked thisA CRO told me he wants to quit software and start a farm. He was only half joking. His reasoning was darkly funny: if a field stopped producing, he could walk outside, inspect the soil, check the water, look at the weather and understand what happened. In his current job, the board asks why pipeline slowed and he begins an archaeological dig. Marketing has one attribution model. Sales has another. Product usage sits somewhere else. Call intelligence captured the objection, but the CRM only kept the stage. Several AI tools sent messages to the same account, and nobody knows which one helped or annoyed the buyer. He owns the number. He does not own the conditions that produce it. CMOs are in the same trap. They are expected to create demand with tighter budgets, prove every dollar, adopt AI quickly and somehow preserve the brand while machines produce more content than their teams can review. Farming is brutally hard. But the feedback loop is visible. Revenue leadership is burning people out because accountability has become more precise while causality has become harder to see. Every quarter produces a verdict, but the system cannot explain the path to it. A new CMO or CRO will not fix that. Before replacing the leader, fix the environment around the number: one customer history, shared definitions, visible agent actions and a clear connection between activity and revenue. Nobody should need to become a farmer just to work inside a system that makes sense. P.S. Any CMO or CRO seriously considering the career switch can begin with a tour of our very own Alex’s farm. Fair warning: farming has attribution problems too.
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Brian Cox liked thisBrian Cox liked thisI'm speaking at Hard Skill Exchange AI Practice Sessions on autonomous revenue agents tomorrow. Everyone has agents now. Whole armies of them, but most teams are deploying them on a fragmented GTM motion, which means: - SDR agents automating outbound with no idea where the account sits in the marketing motion - Marketing agents optimizing spend blind to what sales already knows - Customer success agents flagging risk the rest of the stack never sees Instead of automation we are creating noise at machine speed. The fix is a shared context layer across the entire GTM motion, and I'm demonstrating it live tomorrow - agents running on unified context across the full revenue funnel. Free and virtual, July 30. Event link in the comments. #ainativegtm #aiarchitecture
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Brian Cox liked thisOne of my favorite things is hearing customers share their own transformation story. The team at Abnormal AI is one of the most AI- and data-forward organizations we've had the privilege of working with, and they've consistently pushed us to build a better product. Join CJ and Alex as they discuss how they replaced fragmented attribution with a unified, AI-powered model built on RevSure—giving their teams a shared view of what actually drives pipeline and revenue. Hope you can join us! 👇Brian Cox liked thisModern B2B attribution is broken. Join CJ and Alex to learn how Abnormal replaced fragmented reporting with a unified, AI-powered attribution model that connects every touchpoint to pipeline and revenue with RevSure. All attendees will be entered into a giveaway for a chance to win a Yeti and a $150 Amazon gift card. Register and join us live!
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Brian Cox liked thisBrian Cox liked thisWhen I was raising our seed round, some investors loved our numbers but did not really understand our company. I would get off a call where all the metrics looked great, but something still felt missing. Then I would talk to a customer, and within five minutes they understood exactly what we were building because they lived with the problem every day. That taught me something about the capital & fundraising. Every dollar of funding spends the same. Money from one fund works exactly like money from another. On a cap table, money is one of the most replaceable things there is. What is not replaceable is who it comes from. Aligned capital makes introductions to the exact customers you need. It holds its nerve through a slow quarter because it understands why the quarter was slow. It does not panic at the first number that dips. But misaligned capital does the opposite. It loved you for the metrics, so it leaves you for the metrics. We raised $10M from people who understood a marketer's pipeline and ROI problem. More importantly, they understood what we were fighting against: the loss of context between entire GTM motion, and solving for attribution was the only way to build the context layer in companies. The size of the check is the part everyone negotiates. The alignment behind it is the part that decides whether that money helps you or runs from you when it gets hard. Always optimize for the second one because capital is interchangeable, people aren't.
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Served the needs of AIDS orphans in Zimbabwe
Publications
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The Accelerating Economics of Flash and the Retreat of Hard Disk Drives
SanDisk IT Blog
See publicationThe commonly held assertion as to why HDDs are still the majority of shipments for data center storage is that HDDs are still cheaper than SSDs. While this may have been historically true, we have observed a number of tipping points in the last few years demonstrating that this will no longer the case by the end of the decade.
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Flash is Not Another Disk
SanDisk IT Blog
See publicationWe all know flash is fast. But most applications weren’t designed with flash in mind. Without new storage addressing schemes, we're making applications slower than what they could be.
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SanDisk Powers 5 of the 10 Coolest Flash Products of the Year
SanDisk IT Blog
See publicationEverybody in the industry is glued to magazine websites at this time of the year to see if any of their products and achievements made it into the year’s end lists. What were remarkable achievements in the industry? Did we stand out? Who were the trendsetters, and what were the products that were making waves in 2014?
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Why Flash Is The Gift On Your Data Center Wish List
SanDisk IT Blog
See publicationIf you work in IT, you know that there’s always plenty of room for improvement. So if your data center were to write a wish list, you’d proceed much like you do with your kids: see which of their wishes are possible within the allocated budget and what will bring the most long lasting value. So when your data center asks for some improvements in the coming year, and you have one wish to fulfill, I’m pretty sure flash would be it. Here are a few (good) reasons why.
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Connecting the Data Bytes: IT Professionals Chime in on Flash in the Data Center
SanDisk IT Blog
See publicationTo ensure we stay on the right path, we want to stay attuned to what challenges IT professionals and decision makers are confronting in the data centers of today and tomorrow. What better way to do this than to reach out to them directly to understand the issues they face and what they want and need to achieve?
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Forget TCO. It’s all about TCA.
SanDisk IT Blog
See publicationThe bottom line is, that there are hard costs – the upfront purchasing costs, which you can measure in dollars, euros or yen, that quantifies how much I will have to pay to acquire the gear I need. Whether we like it or not, that is where the decision-making battle is most often fought. TCO is nice, but the reality is that it involves many different players in the customer’s organization and often lacks the hard evidence to fully justify a decision.
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SanDisk’s ULLtraDIMM™ is voted Best Buy by Storage Magazine Readers
SanDisk IT Blog
See publicationThe Reader’s Choice – Best Buy Award is of particular significance as it is based solely on reader votes and not a judging panel. This win signifies not only that the ULLtraDIMM is a truly revolutionary product, but also the excitement in the industry regarding the potential for the ULLtraDIMM and the way it can transform enterprise storage. It also suggests that the storage industry is beginning to change and that our customers are looking at purchases in line with the total cost of ownership…
The Reader’s Choice – Best Buy Award is of particular significance as it is based solely on reader votes and not a judging panel. This win signifies not only that the ULLtraDIMM is a truly revolutionary product, but also the excitement in the industry regarding the potential for the ULLtraDIMM and the way it can transform enterprise storage. It also suggests that the storage industry is beginning to change and that our customers are looking at purchases in line with the total cost of ownership and performance linked to endurance.
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The Third Wave Of Enterprise SSD Adoption
SanDisk IT Blog
See publicationSSD adoption is quickly expanding across the enterprise sector. But the reasons behind the adoption of flash-based storage technology have been, and will be, changing. Let me walk you through the various drivers for SSD adoption I’ve identified as we continue en route the flash-transformed data center.
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Vote for SanDisk in the 2014 DCS Awards!
SanDisk IT Blog
See publicationContinuing our fantastic award success over the past six months, among them Storage System Software Product of the Year, Best Solid State Storage Product of the Year and Visionary Product Award, we’ve been shortlisted for not one, but two DCS Awards this year! What have we been shortlisted for?
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Big Data Storage for Dummies
John Wiley & Sons
A guide for developing, implementing and managing your storage architecture to support innovative Big Data projects.
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While Quantum computing may still be years away from achieving true commercial scale, established companies like Honeywell, JPMorganChase, and now NVentures (Nvidia's venture capital arm) which made its first-ever investment in Honeywell's quantum computing unit, Quantinuum, are now starting to act. This move was part of a $600 million funding round that values the business at $10 billion. https://lnkd.in/eh3W6Q7n
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Grant Jacobson
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Getting More with Less: Cost Savings and Consolidation with Memory Tiering What's happening with Data center economics? Recent market data shows server DRAM prices surged by nearly 95% in early 2026, driven by the insatiable demand for AI infrastructure. And for many organizations, memory now accounts for more than 50% of the total cost of a new server. VMware Cloud Foundation (VCF) NVMe tiering provides up to 40% TCO savings while doubling VM density! Details: https://lnkd.in/gC4_s8C4 #VMware, #VCF, #DataCenter #VKS, #Broadcom, #infrastructure
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Workload automation is evolving fast, and complexity is at an all-time high. How can IT teams achieve true visibility and control across hybrid and multi-cloud environments? In this on-demand webinar, @Rajeev Kumar, Head of Product for AOD Automation at Broadcom, shares the latest trends in workload automation and demonstrates how Automic SaaS acts as a manager of managers to orchestrate complex processes end to end. Watch now: https://lnkd.in/gUFrBTMh
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Silicon Valley is evolving – and so are the data strategies powering AI. As AI accelerates, enterprises are turning to a distributed, localized infrastructure to keep pace with rising rack densities, real-time performance demands, and the need for sustainable scalability. In this video, Crystal Lee Delany explores the importance of setting up a localization strategy while taking you inside Digital Realty’s connected Silicon Valley campus – featuring 14 data centers, high-density colocation up to 150kW, and 100% renewable energy. 🎥 Watch now: https://okt.to/docqpV #WhereTomorrowComesTogether #TheDataMeetingPlace #PlatformDIGITAL
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🚀 Were you unable to catch Infinidat CMO Eric Herzog’s keynote at Insight Jam LIVE titled “Key Enterprise Storage Topics for Machine Age Market Architecture?” 👉 You can view it here: https://okt.to/zduOqX Eric delved into how enterprise storage needs to adapt for AI-enhanced performance, resilience, and scalability in the machine age, emphasizing what IT leaders should focus on as data transforms into the backbone of intelligent systems. This session is essential for anyone contemplating the future of AI, data infrastructure, and enterprise technology. #EnterpriseStorage #MachineAge #AI #DataInfrastructure #InsightJam
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If you missed enterprise cyber and AI storage leader Infinidat at Gartner IOCS last week, join us TOMORROW (Dec 18) as we discuss the critical trends in enterprise storage at the 7th Annual Insight Jam Conference in our keynote address: "Key Enterprise Storage Topics For Machine Age Market Architecture". Tune in at 8am PT/11am/4pm GMT/5pm CET to explore how 2026 will unfold for enterprise storage: • Cyber storage resilience and its critical importance to an overall corporate cyber security strategy • AI - both enterprise storage for AI applications and workloads and also the use of AI inside of storage systems for ease of management and to cut costs • The impact of enterprise storage on power budgets and power efficiency • How enterprise storage can dramatically reduce IT CAPEX, IT OPEX, and IT resource needs https://bit.ly/48T0osy Oren Yesharim David Beltrán Vera David Humes II David Sawyer David Muench Tim Dales Bill Basinas Fran Bruno David Lubrano Benjamin Lew Tom Manganaro Tom Dionne Daniel Potts Donato Ceccomancini Marco Meraviglia ☁ Andrea Sappia Andrea Fraietta Marcus Benham Juliet McMullen Anthony DeLisio Karine Haase Lynsy (Calvario) Marshall Rebecca Kraushaar Revital Aharon-Frimerman Kfir Kayakov Shira Ginsburg Solutions Review Tim King Maleeha Haider Jonathan Paula 📸Craig Hibbert Bob Stone Pete Byrne Paul S. Gaccione Paul Stewart George Deveau James Meyers Gene Kussmann JT Lewis Lee Bushnell
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