Ramin Sayar

The more autonomous AI becomes, the more binaries it will create. The more binaries created, the more security is required at the gate, and the more governance is needed before deployment to production. 🐸 https://bit.ly/4seEMPq #JFrog #LiquidSw

5

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

5

Excited to see SAP and Uptycs partner to bring 👉 verifiable 👈 AI-powered security to the front lines of enterprise defense! Exactly the kind of innovation needed to tame today’s AI-driven cyber threats. #cybersecurity #SAP #Uptycs

19

1 Comment

Cloud marketplaces made SFTP easy to launch. But for organizations that run everything in containers, a marketplace VM can feel like a square peg in a round hole. That's why we've packaged SFTP Gateway for Docker and Kubernetes. Same enterprise-grade file transfer you'd get from our AWS, Azure, or Google Cloud listings, but now built for container-native teams: → Deploy alongside your other services with environment variable config → Hardened images with near-zero CVEs and Docker Scout "A" scores → No cloud vendor lock-in — runs on-premises or any cloud → Full feature parity: user management, audit logging, cloud storage integrations, API access If your stack runs on Kubernetes, your file transfer solution should, too. Free 30-day trial available on Docker Hub. 🔗 https://lnkd.in/exS8z9Bs

3

Closing the SQL Migration Gap with DH2i 🚀 Just wrapped a fascinating conversation with Don Boxley Jr, CEO & Co-Founder of DH2i, on how IT teams can finally bridge the long-standing gap between Windows-based SQL Server environments and the Linux/Kubernetes world that modern apps demand. DH2i delivers high availability + secure, cross-platform mobility for SQL Server, Oracle, and MySQL. Their platform, DX Enterprise, lets organizations run the same SQL instance across Windows, Linux, and Kubernetes — and fail over between them seamlessly. With SQL Server 2025 pushing deeper into AI workloads, this capability has never been more relevant. 💡 “Most teams think they’re stuck on Windows — they’re not,” Don told me. “DX Enterprise lets you move SQL Server to Linux or containers without disruption.” We also discussed DH2i’s new hands-on Minikube tutorial that lets DBAs experiment with Kubernetes-based SQL on their own machines before rolling anything into production. 🔗 Learn more at dh2i.com Software Mind Telco Days 2025: https://lnkd.in/g6zqpDgS On-demand online conference Engaging Customers, Harnessing Data #SQLServer #Kubernetes #Linux #Containers #HighAvailability #AI #MSP #ChannelPartners #TechResellerNews #Podcast

4

In MSFT CEO Satya Nadella's keynote comments on 3/4, he framed Copilot’s differentiation as emerging from compounding enterprise context within the Microsoft ecosystem rather than any single model or user interface. WorkIQ, the data layer beneath M365, is critical to enabling Copilot to reason statefully across years of meetings, documents, emails, and workflows instead of functioning as a standalone chat experience. As this context deepens over time, it creates what Microsoft describes as "network effects of intelligence," increasing Copilot’s value as organizational data and activity accumulate. Critically, this capability is delivered within Microsoft’s established enterprise permissioning, security, compliance, and observability framework, which CIOs prioritize and which limits the applicability of more open, consumer oriented agent approaches like Openclaw in regulated environments. Microsoft further reinforces this position through distribution, embedding Copilot across Microsoft 365 and GitHub, while continuously optimizing model selection, tool usage, and routing to improve cost efficiency. Overall, MSFT positions Copilot not as a feature or interface, but as a system level platform that expands Microsoft’s TAM as agents proliferate across knowledge work.

2

Honored to help foster Opkey’s expanded partnership with Argano . This milestone is more than an announcement—it’s a signal to the market that world-class delivery for Oracle implementations is now within reach for every leading SI. With Opkey’s agentic AI-native platform at the core, partners like Argano can deliver results for enterprise clients that were previously out of reach: Up to 50% faster Oracle project timelines Lower risk and greater confidence, powered by 10,000+ pre-built test cases and intelligent process mining End-to-end automation, freeing teams to focus on strategic transformation, not repetitive tasks Our vision has always been to empower SIs to deliver exceptional, future-ready services . Today, we take a big step forward. Excited for what’s next—and deeply grateful to everyone making this possible. Let’s GO! #Oracle #Innovation #Opkey #Argano #EnterpriseTransformation #SIPartners

89

It was great to speak with CIOs and IT executives to discuss "The Leadership Test of AI" at @MITTechnologyReview's #EmTechMIT 2025 last week. My session focused on "Crossing the 'AI Chasm' to Enterprise Adoption" where I shared that in order to move from pilots to true enterprise-wide scale, we must build a bridge centered on critical elements such as: - Governance & Standardization - Security & Trust - Data Sovereignty This drives the responsible expansion of human capital and productivity with AI - a challenge #Celestica embracing to help our customers as they navigate this important evolution. Thank you to the EmTech team and the audience for the thoughtful questions and engaging discussion. Let's keep building that bridge! #AIAdoption #EnterpriseAI #MITTechReview #Celestica #DigitalTransformation

169

8 Comments

From UC4 to SaaS, Automic has been driving automation innovation for more than 25 years. In this blog, @Jennifer Liharik walks through key milestones, from zero-downtime upgrades to AI-powered features, and what’s next for Automic in a cloud-first world. Read it here: https://lnkd.in/dfcJy2-D

2

How are you thinking about enterprise architecture for AI agents? Do you believe we’re heading toward a standardized agent infrastructure stack, similar to what LAMP (Linux, Apache, MySQL, PHP) did for the early web? I believe the next wave of enterprise software isn’t apps. It’s autonomous AI agents working together. But here’s the uncomfortable truth many leaders are starting to realize: Most enterprise architectures aren’t ready for it. As organizations rush to deploy AI agents, they’re running into a new kind of complexity—dozens (or hundreds) of agents connecting to APIs, databases, SaaS platforms, and internal systems. The result? Fragmented governance, security blind spots, and an integration nightmare. The 2026 Enterprise Agent Architecture Report explores one of the most important emerging ideas in enterprise AI infrastructure: the Agentic LAMP Stack and the role of MCP Gateways in making agent ecosystems scalable, secure, and manageable. Some key themes that stood out to me: • AI value is no longer limited by models — it's limited by architecture • Enterprises are moving from simple chatbots to multi-agent workflows • Integration complexity is becoming the #1 barrier to production AI systems • A new stack is emerging to standardize how agents reason, orchestrate, connect, and store knowledge If you're thinking about the future of enterprise AI, this report is worth your time. It provides a clear framework for how organizations will structure production-grade AI agent systems over the next few years. For a deeper dive into the architecture behind it, read more here: https://lnkd.in/e3Agb4_W We’re still in the early days of the agent economy. Maxim AI WunderGraph Jens Neuse Dustin Deus Björn Schwenzer Vendia Tim Wagner Shruthi Rao OpenClaw F5 Amazon Web Services (AWS) IBM Microsoft OpenAI Google Greg Anderson Sharath Rajasekar Cillian Kieran Alexandre de Vigan Klue

15

The Information is out with a great financial snapshot of #Cloudrevenues catching up the #CAPEX spend for leading players like Amazon Web Services (AWS), Microsoft Azure, Google Cloud. Meta is the one exception where their #advertising revenue is obviously supporting it. While these numbers are essential, the real question is what about #AI spend vs. #AIrevenue? This is much tougher to track since the same #cloudcomputing companies are both 1) #Investors and 2) #CloudService providers that provide them the short-term benefit of #revenue, mid to long-term benefits of possible # investment returns. What do you think? #management #venturecapital #privateequity #capitalmarkets #Ai #AIFunding https://lnkd.in/gcye5wKV

1

Relying on manual processes for software provenance is unsustainable, especially when regulatory pressures are mounting. Introducing the JFrog AppTrust Evidence Ecosystem, built with partners like GitHub, ServiceNow & Sonar to create a single source of truth for software provenance. Now you can seamlessly integrate evidence directly into your release artifacts, simplifying compliance for the agentic #AI era. Details here: https://jfrog.co/41INeM2

61

In the era of long running autonomous agents, enterprises need to own their inference and their end points. A vendor neutral benchmark will go a long way.

18