Amit Verma

At Q2B25 Paris, Yuval Boger, Chief Commercial Officer at QuEra Computing Inc., offered a clear, no-hype framework for understanding where quantum computing actually stands. Rather than comparing qubit counts or marketing claims, the talk introduced a vendor-agnostic measuring stick for progress built around three stages: 1. Foundational capabilities Stable, accurate qubits running on real systems, used continuously by real customers. 2. Fault-tolerant operations Logical qubits that outperform physical qubits, scalable error correction, and universal operations enabled by magic states—demonstrated, not promised. 3. Mass commercial advantage Production-grade systems that are deployable, integrate with HPC, and operate without exotic infrastructure. Yuval’s message was simple but important: roadmaps matter less than evidence. Real progress means showing working systems, published results, and measurable reductions in error-correction overhead—not just futuristic slides. As the field moves toward fault-tolerant quantum computing, this kind of clarity helps customers, partners, and researchers ask the right questions about what’s real today and what comes next. #QuantumComputing #FaultTolerance #NeutralAtoms #Q2B

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I believe that FlowAI is ground-breaking product that may finally live up to the expectations of "intent-based" infrastructure. It also has a great name. Itential has clearly done a huge amount of homework in building this product. Full analysis below. I'm curious as to what folks in the industry think, especially practitioners. #networking #AIOps Andrew Dugan Dave Ward Anna Claiborne Josh Saul

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Scaling operational capacity with predictable AI outcomes. We are excited to share that Nexus FrontierTech has launched the Nexus Capacity Unit (NCU) — a 'Results-as-a-Service' model that allows financial institutions to buy outcomes, not just software. The NCU standardises AI as a predictable resource, enabling leadership teams to plan and govern digital labour with the same transparency as any other operational asset. By aligning directly with CFO and COO priorities, the framework ensures AI impact is traceable and built for business growth. It is encouraging to see our latest perspective on this shift featured across major platforms, including Yahoo Finance: https://lnkd.in/gPNJXDJH. With early deployments already delivering an 87% reduction in operational costs, we look forward to helping more partners scale with confidence. 🔗 Explore the full details and our NCU deployment examples here: https://lnkd.in/g57pi9qU #NexusFrontierTech #NCU #FinancialServices #DigitalLabour #AI #Innovation #OperationalExcellence --- Danny Goh Derrick Liao Yusuke Hirano Mark Schlesinger David Carle Mark Esposito, PhD Terence Tse, PhD Tom Yoritaka

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Unlocking the Value of FHIR SDC with Event-Driven Subscriptions Structured Data Capture (SDC) in FHIR standardizes collection of clinical information via structured questionnaires, enabling consistent, reusable, and interoperable data. Alone, SDC is valuable—but when paired with event-driven subscriptions, captured information becomes immediately actionable. 1. Capture: Questionnaires & Responses Standardized forms like PHQ-9 or a diabetes risk assessment are captured as Questionnaire and QuestionnaireResponse resources. { "resourceType": "QuestionnaireResponse", "questionnaire": "Questionnaire/phq9", "subject": { "reference": "Patient/123" }, "item": [ { "linkId": "Q1", "answer": [ { "valueInteger": 2 } ] }, { "linkId": "Q2", "answer": [ { "valueInteger": 3 } ] } ] } 2. Transform & Load Workflow [Synthetic/External Data Sources] | v ---------------------- Extract Stage ---------------------- - Pull raw forms from EHR, app, or registry | v ---------------------- Transform Stage ---------------------- - Map raw questions/answers to FHIR - Bind answers to ValueSets (LOINC, SNOMED) - Apply conditional logic, calculations, required fields | v ---------------------- Load Stage ---------------------- - Store Questionnaire + Response in FHIR server - Extract Observations, Conditions if needed | v ---------------------- SDC Subscription Stage ---------------------- - Trigger on new QuestionnaireResponse or selected answers - Event handler sends webhook, alert, or downstream update { "resourceType": "Subscription", "id": "sdc-questionnaire-subscription", "status": "active", "topic": "https://lnkd.in/gevcF7r4", "reason": "Notify care team on completed assessments", "channelType": { "code": "rest-hook" }, "endpoint": "https://lnkd.in/gdMrAb-2", "contentType": "application/fhir+json", "content": "full-resource", "filterBy": [ { "searchParamName": "questionnaire", "value": "Questionnaire/sdc-example-1" }, { "searchParamName": "status", "value": "completed" } ] } Watches for completed responses to specific questionnaires Triggers real-time notifications, alerts, or downstream processes Ensures care teams and decision support systems act immediately Standardized Data Capture: Ensures consistency and interoperability Actionable Information: Subscriptions turn responses into immediate actions Event-Driven Workflows: Supports timely interventions, automated updates, and enhanced care Practical Use Cases: Public health surveys, mental health screenings, chronic disease risk assessments Combining FHIR SDC with event-driven subscriptions transforms static data into dynamic, actionable intelligence. Clinical information is no longer just recorded—it’s ready to inform decisions, improve patient outcomes, and streamline workflows in real time.

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In this episode of the NJC Labs Podcast Series, Bejoy Thomas (CEO) and Praveen P R (Lead Architect) unpack one of the most significant transformations unfolding in the integration landscape — the shift toward the Agentic Enterprise. Together, they explore how enterprises are moving beyond traditional API-led connectivity into a new architecture powered by AI Agents that can reason, plan, and execute actions autonomously. The conversation breaks down the essential concepts behind this evolution, including the differences between LLMs and ML, the role of RAG (Retrieval-Augmented Generation), and how the Model Context Protocol (MCP) enables agents to interact with real-world systems. Bejoy and Praveen also delve into the emerging blueprint of future integration architecture, covering topics such as Broker Agents, governance models, intelligent orchestration, and how platforms like MuleSoft can streamline agent-to-agent communication with guardrails and secure policy controls. This episode provides a clear and practical overview of how AI will accelerate delivery cycles, reduce TCO, and reshape enterprise workflows by automating the repetitive 80% of development work — allowing teams to focus on strategic problem-solving and innovation. Tune in to explore how the Agentic Enterprise is redefining integration and what enterprises can do today to get ahead of this paradigm shift. #AgenticEnterprise #AIAgents #EnterpriseIntegration #DigitalTransformation #EnterpriseAI #SystemArchitecture #AIIntegration #LLM #RAG #MCP #FutureOfIntegration #TechInnovation #APIsToAgents #NJCInsights #NJCpodcast

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Excited to partner with Capax to help GCCs accelerate their AI, analytics, and agentic AI capabilities. As GCCs evolve into strategic hubs for enterprise innovation, we look forward to enabling organizations to build stronger data platforms and drive impactful AI outcomes together.  

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