John Shaw

Big news: Snowflake Ventures is leading a strategic equity financing in AtScale. This investment validates the critical role of semantics in the modern enterprise data stack. As enterprises consolidate data on Snowflake AI Data Cloud, a unified, governed semantic layer is essential for consistent metrics and business logic. A semantic layer like AtScale makes accessing that data more accurate, accessible, and efficient by bridging the gap between business language and data language. AtScale’s Universal Semantic Layer provides this single source of semantic truth for customers like Fidelity Investments and The Home Depot. The company remains independent and interoperable, supporting a broad ecosystem of data platforms, BI tools, and AI applications. This is a good moment to reflect on the future of data and AI. New to semantic layers? I'll post a tutorial link below. And here are five big topics from the 2025 Semantic Layer Summit (link to Substack articles on these below): 1️⃣ Semantic layer standardization is coming 2️⃣ Semantic layers are BI’s Gift to AI 3️⃣ Semantic layers make AI 3X more accurate 4️⃣ Long live SQL (with semantic layers to help) 5️⃣ The great debate: Should semantics be in your database? This is a pivotal moment for the data industry, and I’m thrilled to be a part of it! https://lnkd.in/eVJ276Pp

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To add to that, Confluent Cloud Network (CCN) routing simplifies private networking for Flink, reusing existing Kafka infrastructure. It helps teams quickly connect secure pipelines across cloud environments. Security is further strengthened with IP Filtering—giving teams greater control over access in hybrid environments and enabling them to confidently deploy AI at scale. With these enhancements, Confluent is not just enabling smarter AI—it’s making it enterprise-ready. Organizations can now unlock: Seamless integration of historical and streaming data Secure, scalable infrastructure for AI agents Faster, context-aware decisions powered by trusted data Agentic AI is here. With Confluent Cloud, it’s ready for the enterprise. https://lnkd.in/gh-dA7qs #ConfluentCloud #ApacheFlink #SnapshotQueries #AgenticAI #RealTimeData #StreamProcessing #DataAnalytics #EnterpriseAI #BatchProcessing #DataStreaming #DigitalTransformation #Flink #AI #MachineLearning #DataSecurity #PrivateNetworking #IPFiltering Follow our LinkedIn page for more such interesting CX expert opinions/ Thought Leader Interviews/ CX Leadership news/ articles/ updates https://lnkd.in/g9eeFFgh

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There’s no shortage of data, but pipelines are messy. Dallas-based startup DataBahn.ai says it’s out to change that for companies. Maybe with an autobahn for the flow? Nanda Santhana • Nithya Nareshkumar #EnterpriseAI #DataPipelines #DallasStartups #AIInfrastructure #TechFunding #NorthTexas #Telemetry https://lnkd.in/guANTtM5

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Context engineering shifts LLMs from oracle to analyst—frame the task, curate tokens, and apply reusable patterns (RAG, tool calls, memory) to keep complex systems robust. A must-read for product and Agile teams building trustworthy AI-enabled workflows. Explore Chris Loy's take: https://buff.ly/Ca2GrrO #Product

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Top 9 Healthcare Data Exchange Guides for AI Professionals Healthcare data exchange is the backbone of modern medical innovation, enabling the seamless flow of health information across disparate systems and providers. By leveraging standardized protocols like HL7 FHIR for APIs and HL7 v2 for legacy messaging, organizations can break down data silos within EHRs like Epic and Cerner. For AI professionals, mastering these standards is not just a technical requirement—it is a strategic necessity to secure the high-quality, …...

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AI Isn’t the Future. It’s the Infrastructure. Is Your Data Ready to Lead It? Vin Matozzo – CEO, Paradigm Venture Group The AI era is here. But even the most advanced AI can’t fix broken data. At Paradigm, with partners like Krista and DLG, we’ve helped mid-size and Fortune 100s automate, optimize, and scale. One thing consistently blocks progress: 👉 Disorganized, siloed, and untrusted data. McKinsey reports only 30% of companies are scaling AI effectively. Why? You can’t scale what you don’t trust. Six Signs You’re Ready for AI: Clean Inputs: No duplicates, no drift, just usable data. Connected Systems: Krista unifies data, tools, and workflows. Relevant Volume: Don’t hoard data—use what matters. Built-in Governance: Privacy and compliance by design. Real-Time Signals: No more stale reports. Context & Metadata: No more hallucinations—just clarity. Krista isn’t just AI—it’s orchestration. It connects processes, people, and insights without APIs or code, from Salesforce to Slack. How We Get You There: Audit data, processes, and decisions Orchestrate across systems Start small, scale fast Infuse business context Commit to continuous cleanup 🚀 In sourcing and health systems, we’ve cut overhead by 40% and doubled speed—without new headcount. AI won’t fix your workflow. Orchestration will. ✅ Don’t start with AI. 🔁 Start with orchestration. 🏁 Finish with outcomes. #AIReady #KristaAI #DLG #DigitalTransformation #OrchestrationFirst #Leadership

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OpenAI may be setting a trend with its announcement about consulting practice with a minimum price tag of $10M per engagement.   The reason OpenAI is doing this is revenue – consulting margins (40-60%) are much higher than margins for APIs and cloud services. OpenAI needs to grow to justify such a high valuation as they are currently losing $5 billion annually (despite $10 billion in revenue).🚀   But, jumping from an R&D environment into consulting is easier said than done... OpenAI engineers are extremely good at R&D but they are not business process experts. Customer implementations and working on specific customer business processes require very different skills.   Organizations don’t just want powerful AI tools but partners who can help them navigate the complex process of digital transformation.   ➡ The focus must be on revenue, not on AI tool metrics.  ➡ AI should be used to augment teams, so people can work on revenue. ➡ AI should be invisible to the end user. ➡ Consultants should communicate in the currency of business outcomes.   In our AI consulting practice, we have been focused on diligently measuring every outcome in the business currency of our customers. We know that getting the most value of any technology depends on how well it is implemented, not on vanity metrics used to compare various LLMs. To get the most value out of AI, a company must commit to becoming AI first. Anything less means leaving money on the table.   #AI #AIconsulting #OpenAI #AIstrategy

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OpenAI Acquires Healthcare Startup Torch: A Strategic Move into Healthcare In a significant move poised to shake up the healthcare technology landscape, OpenAI has acquired the AI-powered health records startup Torch. https://ow.ly/UA3R50XYOtu

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