Jack Edwards’ Post

I’m excited to announce that I’ll be speaking at HPE Discover 2024 on Tuesday, June 18, 2024, at 3:00 p.m. My session will focus on building effective hybrid solutions using HPE StoreOnce and Microsoft Azure. I’ll discuss strategies for moving medium-term workloads from the cloud back to your on-premise StoreOnce infrastructure, highlighting significant cost savings through de-duplication. Discover how HPE GreenLake and StoreOnce can help bring cloud workloads back on-premises with remarkable savings. Join me and other esteemed speakers as we explore the future across Edge & Networking, Hybrid Cloud, and AI. Let’s discover what’s next together. For more details, visit the agenda https://lnkd.in/gkqNaKvT . The future of tech comes together at HPE Discover 2024. Explore what’s possible when AI spans from edge to cloud. Learn more https://lnkd.in/gkqNaKvT . #HPEDiscover #HybridCloud #EdgeComputing #AI #TechInnovation #CloudSolutions #DataDeduplication #HPEGreenLake #StoreOnce

#HPE Discover 2024, held this week in Las Vegas, showcased a wide range of cutting-edge technologies across Edge & Networking, Hybrid Cloud, and AI. There is a lot to digest, and we will get to that in the coming days. For now here are a few highlights: - AI Offerings: HPE impressed attendees with its comprehensive AI solutions tailored for businesses of all sizes. Recognizing the complexities of deploying AI infrastructure, HPE aims to simplify the deployment process, and drive AI adoption, by providing combined solutions that can be quickly spun up in either on-prem of cloud data centers. - HPE/ NVIDIA Partnership: In a collaborative effort, sharing the keynote stage HPE and NVIDIA announced a significant partnership. The new alliance will position HPE to introduce NVIDIA’s AI capabilities to enterprise customers, while NVIDIA gains deeper access to HPE’s AI server infrastructure. The joint offering aims to provide a seamless AI computing experience for HPE’s enterprise customers. In the coming days I will be sharing my thoughts on all things connectivity related coming out of the 2024 show, with some up to date insights into HPE’s timing and strategy for their networking/ connectivity components. Stay tuned. The show is giving us lots to talk about but if you can't wait check out the link below to hear it direct from Antonio! https://lnkd.in/gXwTWvY6

Generative #AI has applications in many industries, but traditional IT data centers often lack the capacity to handle AI workloads. A multi-cloud environment can be the answer. Watch this @VMware video.

InformationWeek highlights 2024’s most prominent IT challenges: 1. Dealing with adversarial AI 2. Navigating increasing regulations 3. Further cloud integration 4. Overcoming staffing shortages 5. Managing bloated tech stacks 6. Leveraging generative AI for legacy tech These evolving issues demand proactive strategies. How is your organization preparing to tackle these challenges? Let's share our insights and solutions.

AI Appreciation Day! 💻 🌐 Artificial intelligence is transforming how we manage networks! As our reliance on networks and applications grows to keep businesses agile, secure, and competitive, advanced tools become crucial. AI enhances network operations by making them simpler, smarter, safer, and faster. In 2024, AI emerges as a pivotal trend in cloud and communications infrastructure. Within networking, AI reshapes how we construct infrastructure to support AI-driven applications. Generative AI (GenAI) fuels new computing trends, pushing toward highly distributed and accelerated platforms. These sophisticated environments require a robust, intricate infrastructure that covers everything from chips to specialised networking cards and distributed high-performance computing systems. AI is now integral to nearly every aspect of cloud infrastructure, marking the beginning of a new era in computing and networking. #AI #FutureofNetworking #TechInnovation

Join our webinar about the transformative impact of AI in cloud and storage to learn about key considerations, organisational efficiencies and biggest opportunities for companies as they embrace innovation and build the tech framework for tomorrow.  #AI #AIInnovation #Omdia #BestPractice

What does the rest of 2024 hold for AI, cloud, and Asia Pacific organizations? Akamai Technologies's technology leaders offer insights into the evolving landscape. From AI literacy to distributed architectures and compute performance demands, the journey ahead presents both challenges and opportunities. Read more: https://bit.ly/4b9C3Pr #AI #Cloud #TechTrends #AsiaPacific #DigiconAsia

Today is a great day for innovation and the latest topic from our #AIInfraDeck Release 2 is #Hyperscalers. So, what exactly is a hyperscaler? A hyperscaler refers to a type of #CloudServiceProvider (CSP) that offers vast amounts of computing resources, storage, and networking capabilities to accommodate #LargeScaleCloudServices. These entities operate on a global scale, managing millions of servers across numerous data centers worldwide to support extensive cloud computing environments. Hyperscalers are integral to businesses that demand high levels of data processing, storage, and distribution—particularly those involved in global operations, AI, big data analytics, and machine learning. They provide the #ScalabilityAndEfficiency needed to handle massive workloads and complex computational tasks. In today's rapidly evolving technological landscape, leveraging hyperscalers can give your business a significant competitive edge. They enable you to scale operations seamlessly, process large datasets efficiently, and accelerate your AI and machine learning initiatives. If you'd like to learn more about hyperscalers and how they can affect your #AIInfrastructure, please hit me up. I'm happy to assemble my team, and we'll do a deep dive based on your business needs. Thanks for checking this out. Get out there, do great things, inspire folks, be kind and also check out Ignite’s upcoming event: *** AI INFRA Summit | FRI, SEP 27 *** https://www.aiinfra.live/ … DM me to get 20% off your ticket!

In June 2021, Edward J. Hu, et al. submitted a seminal paper on Low Rank Adaptation (LoRA). Innovations such as Low Rank Adaptation (LoRA) and quantization techniques are enabling businesses to fine-tune AI models with fewer resources, providing opportunities to optimize AI deployment costs. The AI industry is seeing a push towards smaller, more efficient models due to increasing cloud computing costs and hardware shortages. Smaller models don’t mean lesser performance. On the contrary, they offer an optimal balance between capability and efficiency. Businesses that adapt to these changes early will save on costs and be better positioned to harness AI’s full potential, driving growth and innovation. How is your business embracing efficient AI to transform your operations today? Check out Edward Hu’s paper here: https://lnkd.in/dHEcNZUt

I have seen and already read that there a clear shift in enterprise IT spending, with a focus on data modernisation and AI technologies rather than expanding overall budgets. Companies are setting the stage for broader investments in generative AI by prioritising cloud infrastructure and data readiness. The trend is to prioritise the technologies they consider to be of the highest value, aiming to save money while still investing in the biggest value drivers. CEOs are largely avoiding discretionary spending, focusing on their core digital capabilities. With AI and data modernisation businesses are making calculated moves to ensure they stay competitive while maximising ROI. If you need guidance on how to transform your organisation, please don't hesitate to reach out. #IT #AI #DigitalTransformation FinXL IT Professional Services