Últimas Noticias de IA
‘The World Needs 1000x More Software,’ Says Fractal CEO
Fractal is steadily shifting toward more AI-native commercial models tied to outcomes and platform usage.
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Wealthtech Startup ZFunds Launches AI Assistant ‘ZIVA’ for Mutual Fund Managers
The platform offers mock client calls, portfolio insights, and multilingual AI support for MFD workflows.
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Google Threat Intelligence Group Detects First Known Instance of AI-Developed Zero-Day Exploit in Action
Google Threat Intelligence Group (GTIG) shared a series of developments in the cybercrime space on Tuesday. The group highlighted that, currently, artificial intelligence (AI) is being used both as an engine for adversary operations and as a high-value target for attacks. The most concerning development is the first known instance where a threat actor used an AI-developed zero-day exploit. While the attack was foiled by the tech giant, this raises fresh concerns over AI bolstering hackers and threat actors.
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SAP Expands AI Stack with Anthropic, Palantir in Agentic Enterprise Push
“For the mission-critical processes of our customers, ‘almost right’ just isn’t good enough,” said Christian Klein, CEO of SAP.
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India Deploys AI Push to Detect Mule Accounts, Cyber Financial Fraud
The collaboration between I4C and RBIH aims to improve the sharing of fraud risk intelligence and enhance the resilience of India’s digital payments ecosystem.
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India Launches AI-Powered Tools to Improve Monsoon, Rainfall Forecasting
Two AI-enabled weather forecasting systems will provide hyperlocal predictions of monsoon progression and rainfall.
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NetApp & Red Hat Partner to Strengthen Data Protection for OpenShift Virtualization
The partnership introduces new NetApp tools optimised for Red Hat OpenShift Virtualization, helping enterprises protect and scale AI-driven workloads across hybrid and multicloud environments.
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MATLAB’s Unexpected Collision With Agentic AI
The move pushes MathWorks into a world historically dominated by open-source developer tooling and AI-native workflows.
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Google Turns the Mouse Pointer Into an AI Agent With Gemini
It can identify text, images, objects, locations and other on-screen elements in real time.
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India Is Building Robots, But Not the Engineers to Run Them
While India's robotics sector is advancing, there’s a shortage of trained engineers to operate the robots.
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Why the Highest‑Spending Customer Might Not Be the Most Valuable One
Modern platforms like Snowflake and Databricks have evolved to support relationship modelling, graph computation, and semantic layers within a single environment.
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Medicare’s new payment model is built for AI, and most of the tech world has no idea
Neil Batlivala has spent seven years building a healthcare company that most of the tech industry has never heard of and that serves a patient population most of Silicon Valley ignores. But last month, that work put him at the center of something much bigger. His company,Pair Team, announced on April 30 it had beenacceptedintoACCESS, a Medicare program — as one of 150 participants chosen by the Centers for Medicare & Medicaid Services to test what AI-driven medical care could look like at federal scale. The program goes live July 5. “The government is creating swim lanes for AI innovation in traditionally regulated industries,” he told me over a Zoom call a few days later. “The best solution wins, which, in regulated industries like healthcare — that’s not been the case.” ACCESS — Advancing Chronic Care with Effective, Scalable Solutions — is a 10-year CMS program testing a payment model that rewards health outcomes rather than required activities (like a certain number of check-ins). Participating organizations like Pair Team receive predictable payments for managing qualifying conditions and earn the full amount only when patients meet measurable health goals, like lower blood pressure or reduced pain. It covers diabetes, hypertension, chronic kidney disease, obesity, depression, and anxiety. That payment structure is the real news. Traditional Medicare reimburses based on time spent with a clinician. There’s no mechanism to pay for an AI agent that monitors a patient between visits, calls to check in, coordinates a housing referral, or makes sure someone picks up their medication. ACCESS creates that mechanism for the first time. “It’s a payment model transformation,” Batlivala said. “You just couldn’t do this before.” The first cohort spans a wide range of participants — AI doctor startups, virtual nutrition therapy providers, connected device companies, and wearable makers like Whoop. Batlivala is skeptical of some of them. "I'm a big fan of wearables, but for a senior who's struggling with food insecurity, I don't know how much Whoop is going to be able to do," he said, adding of his own company, "We've been building toward this for five-plus years now." Pair Team launched in 2019 with a specific kind of patient in mind: people managing chronic conditions who were also dealing with unstable housing, too little food, or lack of transportation. About a third of Americans fall somewhere in that category. The company's premise was that you can't improve health outcomes without addressing the full context of someone's life. It now employs roughly 850 clinical professionals, runs what it describes as the largest community health workforce in California, and, per Batlivala, generates revenue above nine figures. It has raised about $30 million, backed by Kleiner Perkins, Kraft Ventures, and Next Ventures. The model has peer-reviewed evidence behind it. A study, co-authored by Pair Team researchers and peer-reviewed by theJournal of General Internal Medicine, evaluated Pair Team's community-integrated model, which blends medical, behavioral, and social care for Medicaid members with high rates of homelessness, serious mental illness, and chronic disease and it showed strong patient engagement and significant reductions in avoidable emergency and inpatient utilization. Batlivala says one in four hospital visits and one in two ER visits don't happen when a patient is in his company's care. But for years, delivering that level of care required human teams, which limited how fast and cheaply it could scale. Then, about nine months ago, Pair Team deployed a voice AI agent called Flora as its primary patient-facing interface. Flora is available 24 hours a day, handles intake, coordinates referrals, and does the check-ins that keep patients engaged between clinical visits. The first call that shifted his thinking was with a 67-year-old woman living out of her car, managing PTSD and congestive heart failure. She spoke with Flora for over an hour. "It was both incredible and depressing," Batlivala told me. "Flora was probably the only 'person' she'd talked to in weeks about her situation." Now, hour-long conversations with Flora are routine. "That's the companionship piece," he said. "And it turns out that is truly an intervention." The architects of ACCESS are themselves former startup operators. The program was designed by Abe Sutton, Director of the CMS Innovation Center, and Jacob Shiff, Chief AI and Technology Officer of the CMS Innovation Center. Sutton was previously a venture capitalist at a healthcare fund called Rubicon Founders. Shiff is a former healthcare founder. Both joined CMS under the Trump administration and their startup backgrounds are reflected in the program's design: outcome-based payments, direct-to-consumer enrollment, and a deliberate push for competition. There are real risks. Participants are feeding extraordinarily sensitive patient data — intimate conversations about housing and diseases and mental illness — into a federal infrastructure with a documented history of breaches, includingexposed Social Security numbers. For the vulnerable populations ACCESS is designed to serve, that's not an impractical concern. There are financial risks, too. The track record of CMS innovation programs is mixed. A 2023 Congressional Budget Officeanalysisfound that the CMS Innovation Center increased federal spending by $5.4 billion during its first decade rather than producing the projected savings. CMS is also paying less per patient per month than many participants anticipated, which means the math only works for organizations that have fully automated most of their patient interactions. Batlivala's answer to the reimbursement concern is that it's a feature, not a bug. "If you want to build a model that truly incentivizes the use of AI, the reimbursement rates have to be low," he told me. "The economics only work if you're running a lean, AI-first operation." Pair Team says it right now has partnerships in place that give it access to roughly 500,000 potential patients, and that it wants to reach a million within three years. Healthcare investors have been watching this closely. Digital health funding hit itshighest Q1 totalsince the pandemic this year, with AI companies capturing the bulk of it. But ACCESS has barely registered outside health tech trade press.
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