AI & Data Discovery
Would love your take on this GovLoop piece from my colleague, JimWeaver (former WA and NC CIO, ran NASCIO). One line that really stuck out to me: in a legislative hearing nobody asks if the model works. They ask where the data came from and who touched it. His first AI move in North Carolina wasn't buying a model. Instead, it was about data discovery. What do we have, where does it live, how clean is it. Has anyone here done similar data discovery efforts? How long did it actually take, and what surprised you? https://www.govloop.com/community/blog/building-an-ai-ready-data-foundation-for-state-and-local-government/What’s getting in the way of AI moving into production?
Hi everyone! A lot of companies are experimenting with AI. Fewer are getting those projects into production. This Data Wire article looks at what can slow that down in financial services, including data readiness, governance, orchestration, and resilience. What are you seeing? What’s the biggest hurdle between an AI pilot and production? Would love to hear what others are seeing in the field.Healthcare Sessions at Accelerate 2026
Accelerate is almost here! 🙌 Check out our special track tailored for healthcare professionals. Hear from Everpure experts about the latest trends and strategies for data management success in healthcare. If this sounds right up your alley, we’ve curated a list of must-attend breakout sessions focused on all things Healthcare. Check out these don't miss sessions: Modernizing Epic Infrastructure: Performance, Flexibility, Resilience, and Virtualization Evolving Everpure Cloud Value: A Smarter Hybrid Cloud Approach for Healthcare Predictable Imaging Economics: Powering End-to-End Solutions with Price-per-Study Edge AI in Production: Real-Time Decision-Making in Sanofi’s Cryo-EM Core Will you be joining us in person? Drop a comment below with the session you're most interested in and what you hope to learn!Financial Services Sessions at Accelerate 2026
Accelerate is almost here! 🙌 Check out our special track designed to connect with FSI professionals. Hear from Everpure experts about the latest trends and strategies for data management success in Financial Services. If this sounds right up your alley, we’ve curated a list of must-attend breakout sessions focused on all things Financial Services. Check out these don't miss sessions: Why 95% of AI Pilots Fail at Scale, and How a Finance Sector MSP Beat the Odds Sovereign by Design: Delivering a Cloud Operating Model within the Firm’s Own Borders Cyber Defense in a Flash: Spotting the Smoke Before the Fire Will you be joining us in person? Drop a comment below with the session you're most interested in and what you hope to learn!Webinar: What It Takes to Build AI-Ready Telco Clouds
Shameless plug, Fierce Network hosted a webinar with Nokia, Everpure, and Red Hat. In this webinar, Nokia, Red Hat, and Everpure will share perspectives on the strategic considerations shaping next-generation telco cloud design—from standardization and lifecycle management to data readiness, operational efficiency, and support for distributed environments from core to edge. The session will explore how service providers can think about building a modern telco cloud foundation that is better prepared for automation, analytics, and long-term innovation. Check out the Webinar here👤 Addressing the "Shadow AI" Threat in Healthcare Security
Driven by clinician burnout and the desperate need for efficiency, healthcare providers are increasingly turning to unsanctioned, public-facing AI tools (like general-purpose chatbots) to assist with tasks. This practice, often referred to as Shadow AI, creates a major security risk because the data entered into these tools can leave Protected Health Information (PHI) exposed and compromise compliance with regulations like HIPAA. In the article, "In Healthcare, Threat of Shadow AI Outpaces Security as Clinician Adoption Accelerates", according to Nate Moore, Founder of Enlite IT Solutions Inc., the problem is that the pace of AI adoption is quickly outpacing security governance. The goal isn't to ban innovation, but to enable it safely. In lieu, Moore recommends a shift: instead of banning AI, organizations must create secure "AI sandboxes." These governed environments enable staff to test pre-vetted models safely, balancing innovation with data protection. 📣 Community Question: Given the balance between enhancing clinician efficiency and maintaining strict patient data security, what is the most vital step healthcare IT leadership should take right now to effectively manage the risks of Shadow AI? Let's discuss! Click through to read the entire article above and let us know your thoughts around it in the comments below!AI & Fintech: Can We Put Our Trust Into Autonomous Payments?
There are two distinct areas defining the transformation of the financial industry today and one of them is embracing AI, but not without risk. As Agentic AI automates payments and lending, algorithms can amplify bias, threatening the entire credibility banking is built upon. To tackle these widespread challenges, the industry is taking on a more collaborative approach by joining banks, fintechs and policymakers alike. Expert Amanda Estiverne-Colas, Director and Head of Payments Practice at Perficient, says human oversight and empathy are non-negotiables in our financial responsibility to keep banking human amidst the changes. Read the entire article: To Build Fintech for Everybody, Combine the Speed of a Startup with the Soul of a Community Bank Our community question is: What technical measures (like data cleansing) should IT/Storage teams prioritize to ensure AI models remain trustworthy and fair? Click through to read the entire article above and let us know your thoughts around it in the comments below!
AI is changing everything in Telco
Like every industry, AI is having a massive impact on telecom. But what do your peers think about it? We partnered with NVIDIA to sponser a research report about AI in the telecom space. It includes expert opinions plus thoughts from AI leaders at MetTel, Telus and Verizon. There's also a very informative webinar featuring Pure Storage Telecom Field CTO Patrick Lopez and Chris Penrose, VP, Head of Telecoms Business Development at NVIDIA. All the links are available in this blog post.Accelerate Breakout Replay: GenAI in Finance: Simplified, Scalable, and Ready for Real Time
This session covers simplified deployment, RAG workflows, reliable networking, real-time insights, and scalable AI compute for secure, low-latency finance AI. Speakers: Mike Russo Philip Ninan Jon Owings Ryan Avery, WWT Ed Chapman, Arista Kevin Curtis, Supermicro Prabhu Ramamanmoorthy, NVIDIA Nataraj Dasgupta, KX Systems https://www.purestorage.com/video/webinars/gen-ai-in-finance-ready-for-real-time/6375812645112.htmlAccelerate Breakout Replay: Leveraging the Power of AI to Gain Competitive Advantage in Capital Markets
See how Pure Storage + KX power real-time GenAI insights in capital markets, using ultra-low latency vector databases and fast data access. Speakers: Mike Russo Rob Glanzman https://www.purestorage.com/video/webinars/leveraging-the-power-of-ai-competitive-advantage/6375341256112.html
