Latest news with #Lambda
Int'l Business Times
22-07-2025
- Business
- Int'l Business Times
Sathish Kumar Seetharaman: Leading Healthcare Insurance Technology Transformations with AI and AWS Cloud Solutions
In the rapidly evolving landscape of healthcare insurance, technology plays a pivotal role in driving efficiency, reducing costs, and improving patient outcomes. At the forefront of this digital transformation is Sathish Kumar Seetharaman, a visionary technical leader specializing in integrating Artificial Intelligence (AI) and advanced AWS cloud solutions to revolutionize healthcare insurance operations. With extensive expertise in healthcare IT, cloud computing, and AI-driven automation, Sathish has been instrumental in designing and implementing cutting-edge solutions that enhance claims processing, fraud detection, customer experience, and data security in the insurance sector. Bridging Healthcare and Technology with AI & Cloud Innovation Sathish Kumar Seetharaman has been a key player in leveraging AWS cloud services to build scalable, secure, and intelligent healthcare insurance platforms. His work focuses on: 1. AI-Powered Claims Processing Automating claims adjudication using machine learning (ML) and natural language processing (NLP) to reduce manual errors and processing time. Implementing predictive analytics to identify fraudulent claims, saving millions in unnecessary payouts. 2. Secure & Scalable Cloud Infrastructure on AWS Architecting HIPAA-compliant and GDPR-ready cloud environments using AWS services like Lambda, S3, RDS, and SageMaker. Enabling real-time data processing and analytics with AWS Kinesis and Redshift for better decision-making. 3. Enhancing Customer Experience with Digital Solutions Developing chatbots and virtual assistants powered by Amazon Lex and AWS AI services to provide instant customer support. Integrating telemedicine platforms with insurance systems for seamless patient-provider-payer interactions. 4. Data-Driven Decision Making Utilizing AWS Quick Sight and Tableau for advanced business intelligence, helping insurers optimize pricing models and risk assessments. Deploying AI-driven recommendation engines to personalize insurance plans for customers. A Leader in Digital Transformation Sathish's approach combines technical excellence with strategic business acumen, ensuring that technology implementations align with organizational goals. His leadership in cloud migration, DevOps, and AI adoption has helped healthcare insurers transition from legacy systems to agile, future-ready architectures. Key Achievements: Successfully led multi-million-dollar cloud transformation projects for leading healthcare payers. Reduced claims processing time by 40%+ through AI automation. Enhanced fraud detection accuracy by leveraging deep learning models on AWS. As healthcare insurers face increasing pressure to improve efficiency, reduce costs, and enhance user experience, leaders like Sathish Kumar Seetharaman are paving the way for a smarter, data-driven future. By harnessing the power of AI, machine learning, and AWS cloud technologies, he continues to drive impactful transformations that redefine the healthcare insurance ecosystem. With healthcare payers under pressure to curb rising loss ratios and modernize consumer experiences, Sathish Kumar Seetharaman's AI‑assisted workflows, cloud‑first scalability, and relentless process measurement offer a template for the next wave of healthcare‑insurance transformation.
Time of India
16-07-2025
- Entertainment
- Time of India
NYT Connections answers July 16, 2025: Today's puzzle #766 stumps players with tricky Greek letter twist — full hints and word groups inside
NYT Connections answers July 16 delivers a fresh challenge for puzzle lovers with clever wordplay and a classic purple twist. Puzzle #766 includes themes like college campus locations, over-the-top performances, and Greek letter starters, with the final group leaving many players puzzled until the end. If you're stuck or want to double-check your guesses, today's hints and full solution break everything down clearly. With engaging themes like frat and sorority names and trap-related actions, this puzzle blends fun and frustration in the best way. Don't miss today's NYT Connections puzzle breakdown and answers for July 16, 2025. NYT Connections answers for July 16, 2025 (#766) include themes like college campus places, dramatic performances, trap-related verbs, and Greek letter starters. Read the full puzzle breakdown with hints, word groups, and why today's purple set was toughest to solve. Tired of too many ads? Remove Ads What is NYT Connections and how does it work? Grid : 4×4 layout with 16 words : 4×4 layout with 16 words Goal : Group the words into 4 categories of 4 words each : Group the words into 4 categories of 4 words each Themes : These can be based on: Synonyms or meanings Common phrases or expressions Wordplay or linguistic patterns (like shared endings or single vowels) : These can be based on: 🟨 Yellow – Easiest – Easiest 🟩 Green – Medium – Medium 🟦 Blue – Hard – Hard 🟪 Purple – Trickiest (often abstract or wordplay-based) Tired of too many ads? Remove Ads Tips to solve NYT Connections faster Start with the obvious : Look for words that clearly belong to a common theme, usually the yellow or green categories. : Look for words that clearly belong to a common theme, usually the yellow or green categories. Use Shuffle : Rearranging the grid often helps spot hidden connections. : Rearranging the grid often helps spot hidden connections. Watch for red herrings : Some words might seem like they fit multiple groups—look closely! : Some words might seem like they fit multiple groups—look closely! Think outside the box: Wordplay, cultural references, or initials can all be clues. What is today's NYT Connections puzzle all about? Which clues were the easiest to solve? What are the yellow Connections words for July 16? Cafeteria Dorm Library Quad What group came next in difficulty? What are the green Connections answers today? Camp Dramatic Hammy Overdone Which words hinted at a chase or trap? What are the blue Connections words and their theme? Tired of too many ads? Remove Ads Corner Surround Trap Tree Why was the purple group the hardest to figure out? What are today's purple Connections words and what links them? Bet (Beta) Delt (Delta) Lamb (Lambda) The (Theta) Today's NYT Connections Answers for July 16, 2025 What made today's NYT Connections so unique? FAQs: Looking for today's NYT Connections puzzle hints and answers for July 16, 2025? Puzzle #766 comes packed with some clever wordplay and a tough purple category that had even seasoned solvers scratching their heads. If you're stuck and want a hand solving it — or you're just here to compare notes — we've got a full breakdown of today's groups, hints, and final answers in this article. Let's walk through each category and help you make sense of today's word Connections challenges your brain every day with a grid of 16 seemingly unrelated words. Your job? Find four groups of four words that all share a hidden category isYou're allowedbefore the game Connections puzzle — #766 — from The New York Times dropped on Wednesday, July 16, 2025, and features the classic format: 16 seemingly random words you must sort into 4 related groups of four. While the yellow group came off as fairly straightforward, the purple group had many players stumped until they solved the rest of the of a college campusIf you've spent time on any college campus, this category might've been an easy first win. The four yellow answers were:Each of these is a staple on almost every college campus. It's the kind of category that gives solvers a confidence boost early as a performanceThis one touched on over-the-top acting styles or behaviors you might associate with theater or melodrama:The green category was easier to spot if you're familiar with stage lingo or film criticism. These are all terms used when someone goes "a bit too far" with their in on (as in cornering or trapping someone)This one might have taken a few more attempts, especially if you weren't familiar with the verb use of "tree":Yes, 'tree' in this context means to force someone (or an animal) up a tree, effectively trapping them. This is a term often used in hunting or action of Greek letters (frat/sorority-style)This is where things got tricky. Most players only found the purple set after clearing the others, as the group wasn't obvious at first glance:These are shortened or slang-like beginnings of Greek alphabet letters — and yes, they're commonly heard in U.S. fraternity and sorority names. It's not a category you'd solve without catching the frat house vibe.🟨 Yellow (Parts of a college campus): Cafeteria, Dorm, Library, Quad🟩 Green (Exaggerated, as a performance): Camp, Dramatic, Hammy, Overdone🟦 Blue (Close in on): Corner, Surround, Trap, Tree🟪 Purple (Starts of Greek letters): Bet, Delt, Lamb, TheToday's puzzle stands out because of its balance — it combined accessible themes (like college campus life) with tougher conceptual wordplay (Greek letter prefixes). According to players, the purple group was the stumbling block. And unless you're immersed in Greek life or linguistics, it wasn't an easy answers include themes like campus places, overacted performances, trap words, and Greek letter uses shortened Greek letter names like bet, delt, and lamb — hard to guess without context.
Business Wire
26-06-2025
- Business
- Business Wire
Iambic Taps Lambda for Increased AI Compute as it Develops the Next Generation of Enchant, a Breakthrough AI Molecular Property Prediction Model for Drug Discovery
SAN JOSE, Calif.--(BUSINESS WIRE)--Lambda, the GPU cloud company founded by AI engineers, today announced that Iambic Therapeutics, a clinical-stage life science and technology company developing novel medicines using its AI-driven discovery and development platform, has selected Lambda to provide an NVIDIA HGX B200 cluster to support the training of Enchant, its industry-leading model for molecular property prediction. Iambic's Enchant is a breakthrough multi-modal transformer model for predicting clinical and preclinical endpoints related to the drug discovery and development process. Enchant enables researchers to determine the viability of new drug molecules and make high-confidence predictions where data is most sparse, helping address the critical real-world challenge of understanding how novel drug candidates may affect a patient while still in the earliest stages of discovery. Iambic's recently announced Enchant v2 provides accurate predictions for dozens of biological, physiochemical, pharmacokinetic, metabolic, safety, and other properties essential for clinical success. 'With the release of Enchant v2, we demonstrated both the model's accuracy and scalability and we believe we can rapidly build on these gains through model scale alone,' said Matt Welborn, PhD, Iambic's VP of Machine Learning. 'We are expanding our successful relationship with Lambda to an NVIDIA HGX B200 cluster, which will accelerate this opportunity and the breadth of pre-clinical and clinical endpoints Enchant can predict, increasing the likelihood of a molecules' success in human studies and the efficiency of drug development.' Enchant's high-confidence predictions enable multi-parameter optimization for the design of potentially more effective medicines, program prioritization, and the design of clinical trials for the potentially rapid translation of novel medicines. Iambic researchers also demonstrated that in some cases Enchant can be a better predictor of in vivo drug clearance than in vitro experiments – a key advancement as regulators look for drug developers to broaden their use of in silico testing. Today, Enchant is the leading model in the field based on performance benchmarks across diverse molecular property prediction tasks. 'We're thrilled to deepen our partnership with Iambic, a leader in AI-driven drug discovery,' said Robert Brooks IV, Founding Team and VP, Revenue. 'By leveraging Lambda's 1-Click Clusters for rapid testing and validation, Iambic was able to seamlessly scale to an NVIDIA HGX B200 cluster to accelerate breakthroughs in life sciences.' To learn more about Lambda's cloud offerings for AI training and inference, click here. About Iambic's AI-Driven Discovery Platform The Iambic AI-driven platform was created to address the most challenging design problems in drug discovery, leveraging technology innovations such as Enchant (multimodal transformer model that predicts clinical and preclinical endpoints) and NeuralPLexer (best-in-class predictor of protein and protein-ligand structures). The integration of physics principles into the platform's AI architectures improves data efficiency and allows molecular models to venture widely across the space of possible chemical structures. The platform enables identification of novel chemical modalities for engaging difficult-to-address biological targets, discovery of defined product profiles that optimize therapeutic window, and multiparameter optimization for highly differentiated development candidates. Through close integration of AI-generated molecular designs with automated chemical synthesis and experimental execution, Iambic completes design-make-test cycles on a weekly cadence. About Iambic Therapeutics Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at About Lambda Lambda was founded in 2012 by AI engineers with published research at the top machine learning conferences in the world. Our goal is to become the #1 AI compute platform serving developers across the entire AI development lifecycle. We enable AI engineers to easily, securely and affordably build, test and deploy AI products at scale. Our product portfolio spans from on-prem GPU hardware to hosted GPUs in the cloud. Lambda's mission is to create a world where access to computation is as effortless and ubiquitous as electricity.
CairoScene
22-06-2025
- Entertainment
- CairoScene
ZULI Builds on the 'Lambada' Universe with New EP 'Care'
Built between Cairo and Berlin, ZULI's Care dives deeper into the soundscape of 2024's Lambda, blending R&B mutations, field recordings, and ambient fragments into four dense, layered tracks. Jun 22, 2025 Berlin-based Egyptian producer ZULI releases 'Care', a four-track EP that expands the his 2024's LP 'Lambda'. Developed between Cairo and Berlin, the release includes two original tracks and two reimaginings, offering a study in melancholy, detail, and immersive storytelling. The lead track, 'Care', opens with a field recording of ZULI tapping an unplugged guitar. A sudden street fight in Cairo, accidentally captured in the background, forms part of its atmospheric core. The result is a piece equally rooted in restraint and intensity. 'Elysian Blue' continues the textural approach of 'Lambda', using minimalist melody and drifting ambience to conjure emotional residue. The EP also includes a remix of 'Ast' (feat. Coby Sey), with Berlin's Ludwig Wandinger reshaping its R&B DNA into something soulful, surreal, and dream-like.
Hans India
11-06-2025
- Business
- Hans India
The serverless shift: Scaling smarter with fewer resources and no infrastructure bloat
In today's fast-paced digital era, agility, scalability, and efficiency have become critical imperatives rather than luxuries. Serverless computing, which eliminates infrastructure management and allows developers to focus purely on delivering value, is emerging as a powerful response to these demands. At the forefront of this transformation is Anil Kumar Manukonda, a cloud innovator who has been instrumental in architecting high-performance, cost-effective solutions for modern enterprises. 'Serverless is more than a trend—it's a mindset shift,' says Anil. 'It empowers teams to build smarter, faster, and with fewer operational burdens. The true value lies in accelerating innovation without compromising reliability or security.' Anil's pioneering work includes the design of a mission-critical, event-driven data ingestion pipeline using AWS Lambda, Kinesis Data Streams, and DynamoDB. The system now processes over 200,000 events per hour with sub-250ms latency—a dramatic improvement over the EC2-based batch system it replaced. 'We achieved a 50% reduction in processing time while completely eliminating downtime,' he explains. By implementing provisioned concurrency, cold-start latency dropped by 90%, ensuring consistent performance even during peak traffic. His leadership extended to transforming a legacy reporting microservice into a serverless REST API with API Gateway, Lambda, and RDS Proxy. The result? A 300% increase in throughput and $120,000 in annual cloud savings. Anil also introduced a centralized governance framework using Terraform modules and AWS Config Rules, enabling consistent, compliant deployments across five critical business applications. The impacts are measurable: 30% higher developer productivity, 80% fewer budget overruns, and a 40% cut in incident response time—thanks in part to automation using SNS and DynamoDB streams. One of his most ambitious projects involved rearchitecting an order processing system with SQS and Lambda, scaling it to 250,000 orders per day and reducing fulfillment times from five minutes to just 30 seconds. 'Serverless lets you scale from zero to massive workloads with grace,' Anil notes. 'But success also means solving new challenges—latency, state management, and security.' His solutions include hybrid warming strategies and IAM automation across multi-account AWS environments. Anil's contributions extend beyond the workplace. He's the author of influential publications like Designing Highly Available and Scalable Web Applications Using Azure Functions and Automating Infrastructure Provisioning Using Terraform. He sees the future of cloud computing in AI-driven serverless functions, edge-native services, and function mesh architectures. 'Serverless is no longer just about cost savings,' he emphasizes. 'It's about enabling resilient, intelligent, and scalable architectures that redefine what's possible.' Through vision, execution, and thought leadership, Anil Kumar Manukonda is not just navigating the serverless frontier—he's charting its course.
