Healthtech & tech frontiers

 As we’ve built the Retrieval services in LlamaCloud, we’ve chosen to abstract a few of these techniques into our API, only exposing a few top-level hyper-parameters for controlling these algorithms. In this blog post, we will showcase these various techniques, explaining how and when to use them. We will build upon these techniques one by one and end with a fully agentic retrieval system that can intelligently query multiple knowledge bases at once. Read the complete article https://www.llamaindex.ai/blog/rag-is-dead-long-live-agentic-retrieval

  Success Metrics   (Measure product value and business impact) High Importance: Customer Adoption Rate  – % of target users actively using the feature/product. Revenue Impact  – Revenue growth, cost savings, or ROI tied to the release. User Satisfaction (NPS/CSAT)  – Feedback scores from end-users/stakeholders. Defect Escape Rate  – Critical bugs found post-launch (indicates quality gaps). Conversion Rates  – For key user flows (e.g., sign-ups, purchases). ( To remeber.  I signed up to Swiggy -- conversion,  I use it to order items- good adoption,  I use Swiggy few times an year-  revenue , I didn't find a bug -- defect,  I get coupons if item is missing- satisfaction level is good ) ======== Project Metrics   (Measure delivery efficiency and team performance) High Importance: On-Time Delivery Rate  – % of releases/sprints meeting committed deadlines. Sprint Velocity  – Story points completed per sprint (track c...

OpenAI has been strategically expanding its ecosystem through investments, acquisitions, and partnerships across various sectors, reflecting a focus on AI infrastructure, developer tools, automation, and AI-native devices . 1️⃣ Developer Tools & Productivity Acquisitions : Windsurf (May 2025): Acquired for ~$3 billion to enhance AI-assisted coding and enterprise software development. Multi (June 2024): Acquired in an acqui-hire deal to strengthen enterprise-focused collaboration tools. Investments : Anysphere Cursor Detail Harvey These tools help developers by offering AI-powered coding, debugging, and productivity enhancement solutions. 2️⃣ Enterprise Workflow Automation Investments : Kick mem unify These companies focus on automating enterprise workflows using AI to improve efficiency and productivity. 3️⃣ Robotics & Automation Acquisitions & Investments : Figure (investment) Physical Intelligence (π) (investment) ...

Modern AI agent protocols with use cases across five key industries—healthcare solutions, cybersecurity, hospitals, chronic disease care, and supply chain management (SCM).  As artificial intelligence advances, standardized communication between AI agents is becoming a cornerstone for scalable, interoperable, and efficient systems. The emergence of 10 modern AI agent protocols—ranging from ACP (IBM) to FCP (OpenAI)—paves the way for seamless interaction between agents, tools, and human interfaces. 10 Modern AI Agent Protocols. 1. ACP (Agent Communication Protocol) – IBM Purpose: Standard way for AI agents to talk and manage tasks. Think of it like: A set of rules for how agents start, manage, and end conversations. Used for: Starting or stopping agents Managing workflows Keeping track of what each agent is doing Why it matters: Helps agents from different platforms work together smoothly. 2. AGP (Agent Gateway Protocol) – Industry Use Purpose: Acts as a translator between...

 Here is a point-wise version of a good product backlog based on the DEEP principle (Detailed appropriately, Emergent, Estimated, Prioritized): 1. Detailed Appropriately – Top items are clear and detailed; lower ones may be rough ideas. 2. Emergent – Continuously evolves as the product, market, or user needs change. 3. Estimated – Each item has a rough size or effort estimate for planning. 4. Prioritized – Ordered by business value, urgency, and dependencies. Also: User-Focused – Items describe value from the end-user or customer perspective.  Collaboratively Defined – Built and refined with input from stakeholders and the team. Testable – Each backlog item includes acceptance criteria or a clear definition of done. Feasible – Items are realistically achievable by the team in a sprint or release. Actionable – Items near the top are ready for development with minimal clarification needed. Consistently Reviewed – Regular grooming/refinement sessions keep the backlog relevant. Tr...

1️⃣ Performance Requirements These define how quickly and efficiently the app should operate. Examples: The dashboard must load within 2 seconds on devices with at least 3GB RAM. The app must process and save a new blood sugar entry within 1 second of submission. Blood sugar data from connected glucometers must sync with the app within 5 seconds. The app must handle up to 50 simultaneous API calls without significant delay (>200ms). 2️⃣ Security Requirements These ensure protection of patient data and compliance with healthcare standards. Examples: All patient data must be encrypted using AES-256 during storage and transmission. Users must be automatically logged out after 5 minutes of inactivity. Access to sensitive data must require multi-factor authentication (MFA). The app must log all data access events for auditing purposes, retaining logs for at least 1 year. 3️⃣ Usability Requirements These ensure the app is user-friendly, especially for non-technic...

Understanding Different Types of Software Requirements: A Diabetes Management App Example When building software like a mobile app for diabetes management, it's essential to understand the different types of requirements that shape the development process. Beyond the basic categories of functional and non-functional requirements, there are several layers of detail that ensure the app meets the needs of both users and stakeholders. Let’s explore the key requirement types with relevant examples. 1. Business Requirements ✅ Definition : These describe the overall goals and objectives of the organization or project. They answer the "why" behind the system— what business outcomes are desired . ✅ Focus : They are high-level , often independent of specific technical details . They reflect business goals , market expansion plans , cost-saving targets , or strategic initiatives . Examples: Help patients manage their blood sugar levels more effectively. Reduce hospital re...

Evidence-Based Analysis of Causes, Control, and Prevention of Hospital Admissions and Readmissions. Reducing hospital admissions—particularly avoidable ones through emergency departments (EDs)—and preventing readmissions are central to improving healthcare outcomes, reducing patient distress, and containing escalating costs. This analysis synthesizes data-driven research, system-level evaluations, and clinical insights to identify root causes and recommend high-impact interventions. 🔍 Root Causes of Hospital Admissions and Readmissions 🚑 Emergency Department Overuse and Admissions A substantial proportion (~70%) of hospital admissions originate in the emergency department. However, only 13% of ER visits lead to hospitalization , indicating a high volume of potentially avoidable encounters. Contributing factors include: Socioeconomic Disparities : Frequent ED users tend to be low-income, less educated individuals with poor self-rated health. Chronic and Comorbid Conditions...

"Fix vs Ship" Conflicts in Different Industries (Improvised) Scenario 4: Airline Industry – New In-Flight Entertainment System Rollout An airline is planning to introduce a new in-flight entertainment (IFE) system but discovers glitches during long-haul test flights. Customer Experience: FIX! Passengers expect flawless entertainment on long flights—glitches lead to complaints Marketing: SHIP! Campaigns promoting the “next-gen in-flight experience” are already live IT/AV Team: FIX! Stability issues could affect international flights and customer satisfaction Procurement: SHIP!!! Contracts signed with the IFE vendor are non-refundable Flight Operations: SHIP! Cabin crew have been trained, and delaying would confuse operations Loyalty Program Management: FIX. Premium fliers and reviewers will be the first to notice bugs ____ Scenario 5: Food Manufacturing – Launching a Plant-Based Product Line A food manufacturer is ready to launch its plant-based meat substitute but faces textu...