NASDAQ:AMZN

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Kodiak AI Chooses AWS to Support Autonomous Trucking Development Ahead of Driverless Highway Launch

Kodiak AI said it selected Amazon Web Services as its primary cloud provider to support the compute-intensive AI development, simulation and data infrastructure behind its autonomous trucking technology.

AWS will provide the cloud capacity used for Kodiak’s BreakPoint safety-validation system, which injects realistic errors into autonomous-driving signals and searches for rare edge cases that could lead to collisions. Kodiak said the system can identify in minutes scenarios that might otherwise require tens of thousands of miles of real-world driving to encounter.

The company will also use AWS to scale GPU compute for training and refining the AI models behind the Kodiak Driver autonomous-driving system, while supporting customer-facing operations software and storage of operational data.

Kodiak is preparing to launch driverless trucking operations on public highways in Texas later in 2026. The AWS partnership is intended to provide the infrastructure needed to support that launch and potentially scale autonomous operations across the United States.

The collaboration highlights the growing role of cloud computing and GPU infrastructure in autonomous-vehicle development, particularly for simulation, model training and large-scale safety validation.
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AWS and The Nature Conservancy Partner to Scale AI-Powered Stormwater Management

Amazon Web Services and The Nature Conservancy’s Brightstorm program announced a strategic collaboration to expand data-driven stormwater management using cloud infrastructure, artificial intelligence and real-time sensor networks.

At the center of the partnership is Brightstorm’s Smart Watershed Network Management framework, which combines AI, weather forecasting and smart sensors to manage stormwater across entire watersheds. AWS will provide the cloud and AI infrastructure needed to scale the system and make its data and tools more accessible to planners, policymakers and water managers.

The collaboration will also support Alluvia, a free open-source platform designed to build, host and scale smart watershed tools. AWS is providing the cloud infrastructure behind the platform, with a focus on scalability, reliability and security.

One of the first real-world deployments will take place around Florida’s Indian River Lagoon, where stormwater pollution threatens water quality and biodiversity. The pilot will connect stormwater ponds into an intelligent network designed to improve flood control and reduce pollution.

The partnership reflects AWS’s broader push to apply cloud and AI technologies to environmental infrastructure, while Brightstorm aims to turn aging stormwater systems into more adaptive and data-driven networks that can eventually be replicated across the U.S. and other markets.
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Accenture Edge and AWS Launch Six AI and Cloud Offerings for Mid-Market Companies

Accenture and Amazon Web Services expanded their collaboration with six ready-to-deploy offerings aimed at helping mid-market companies adopt AI, modernize cloud infrastructure and strengthen cybersecurity.

The initiative is being delivered through Accenture Edge, a business focused on companies with annual revenue between $300 million and $3 billion. AWS is serving as a foundational partner, providing cloud, security and AI capabilities alongside Accenture’s industry and implementation expertise.

The six offerings include Agentic Data Discovery, AI-Powered Instance Migration, Connected Customer Experience Innovation Services, Optimization Health Check, RAI Red Teaming and Secure Cloud Foundation. They are available through the Accenture AWS Marketplace Storefront and are designed to address data migration, cloud modernization, contact-center AI, cost optimization and AI security.

Accenture and AWS also pointed to work with 407 ETR, where a cloud-based contact-center platform built on Amazon Connect helped support more than 250 employees while achieving 99.9% platform reliability and keeping call and chat abandonment rates at 5% or less.

The collaboration broadens Accenture’s AI and cloud push into the mid-market, where companies often need more standardized and lower-complexity solutions than large enterprises.
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Amazon to Invest $1.9 Billion in Delivery Service Partner Program in 2027

Amazon said it will invest another $1.9 billion in its Delivery Service Partner program in 2027, supporting higher driver pay, new safety initiatives and expanded use of AI-powered delivery technology.

The company said the investment will help DSP owners raise average Delivery Associate earnings by roughly another $1 to nearly $24 per hour nationwide. Over the past three years, Amazon estimates its investments have supported an average 16% increase in driver pay.

Amazon is also expanding safety technology across its last-mile network. New surround-view cameras are being rolled out to Rivian electric delivery vehicles, while the Amazon Delivery App is adding real-time hazard alerts and automatic route adjustments for weather, accidents and road closures. The company said serious vehicle crashes across the network fell more than 23% last year.

AI is becoming a larger part of delivery operations as well. Amazon’s Wellspring mapping system has identified 202 million parking locations, 2.8 million building entrances and 85,000 mailrooms and lockers since 2024, while AI-based routing is being used to account for real-world conditions such as darkness and parking congestion.

Amazon also plans to expand deployment of its Smart Delivery Glasses to more than 20,000 devices by the end of 2027 and will commit $70 million over five years to community initiatives led by DSP owners.
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AWS Launches AI Workflows for Energy and Utilities With Amazon Quick

Amazon Web Services announced new ready-to-use AI workflows for Amazon Quick, targeting energy and utilities companies with industry-specific tools for areas including grid planning, asset management, drilling exploration, compliance and energy trading.

The workflows are designed to connect data from multiple operational systems into a single interface, allowing users to generate recommendations and take actions without building custom applications. AWS said Quick can help with tasks such as scheduling maintenance orders, routing outage workflows and updating compliance records, potentially reducing work that can take weeks to hours.

The offering uses MCP-connected integrations from more than a dozen energy-sector partners. Participants include Accenture, IBM, Hitachi Digital Services, EPAM, Infosys, S&P Global, Seeq, Slalom and other specialized energy and technology providers.

AWS said the integrations are intended to combine generative AI with domain-specific expertise across production monitoring, grid operations, asset maintenance and other energy workflows.

The new capabilities are available to Amazon Quick users in the energy sector, extending AWS’s push to bring industry-specific AI tools into enterprise operations.
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AWS and Salesforce Expand AI Partnership With Agents, Data and Voice Integrations

Amazon Web Services and Salesforce announced an expanded partnership aimed at bringing enterprise AI agents, CRM data and broader model choice directly into the tools employees already use.

The integrations will make Salesforce business data available inside Amazon Quick, while AWS AI agents will operate directly within Slack. Salesforce Agentforce customers will also gain access to Amazon Bedrock’s selection of foundation models, including models from Anthropic and NVIDIA, with OpenAI models expected to follow.

The companies are also expanding zero-copy connectivity, allowing AI agents to access enterprise data across AWS and Salesforce without requiring companies to migrate or duplicate that information.

Another key development is voice AI: Agentforce Voice and Amazon Connect Customer will support real-time, bidirectional communication between AI agents, while Salesforce is using AWS Trainium chips to power low-latency voice dictation in Slack.

The expansion highlights how Amazon and Salesforce are positioning their cloud, CRM and AI platforms around the growing enterprise shift toward agentic AI.

Regulators target transparency in digital ad auctions amid Google and Amazon cases | Noah Intelligence

Recent legal actions against Google and Amazon spotlight growing concerns over auction fairness and transparency in digital advertising, raising questions about platform control and trust.The latest legal scrutiny of...

(noah-news.com)
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Amazon AWS Brings Agentic AI to Wealth Management With Hoxton Wealth

Amazon Web Services is working with international financial advisory firm Hoxton Wealth to deploy agentic AI across wealth-management operations, targeting faster reporting, compliance processes and access to internal expertise.

The collaboration is part of AWS’s $1 billion investment in Forward Deployed Engineering (FDE), an initiative that embeds AWS engineers directly with customers to develop and deploy agentic AI systems. AWS says the approach is designed to move AI applications from concept to production in days rather than months.

AI Cuts Work From Hours to Minutes

Hoxton Wealth is already using AI to generate client reports and personalized presentations, reducing processes that previously took hours to minutes. The company is also developing an AI-powered internal knowledge base that allows advisors to access expertise without relying on a small group of senior employees.

The technology is being applied to compliance as well, with Hoxton saying checks that previously took days can now be completed in a fraction of the time.

For Amazon (NASDAQ: AMZN), the project demonstrates how AWS is pushing beyond providing cloud infrastructure and foundation-model access toward directly helping enterprises deploy production-ready AI agents. Financial services could represent a particularly important market as firms seek to automate labor-intensive workflows while maintaining industry-specific compliance requirements.

Federal Trade Commission and 22 states sue Amazon over inflated advertising prices

The Federal Trade Commission and 22 states filed a lawsuit against online retailer Amazon on Monday claiming that it defrauded advertising customers. The lawsuit, filed in the U.S. District Court in the Western District of Washington, claims that Amazon overcharged 1.2 million advertising customers by misleading them on prices for online auctions for ads. The complaint says Amazon said it was offering competitive prices on several ad products when it was actually inflating auction prices.

(finance.yahoo.com)
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Amazon Rises 4.2% as Evercore ISI Raises Price Target to $355

Amazon (NASDAQ: AMZN) shares rose 4.2% after Evercore ISI maintained its Outperform rating and raised its price target on the stock.

The firm increased its Amazon price target to $355 from $315. With Amazon trading around $267, the new target implies roughly 33% upside from that level.

The bullish rating provides additional support for Amazon shares, with Evercore ISI signaling greater confidence in the company’s earnings and growth potential through the higher valuation target. The 4.2% gain suggests investors are responding positively to the analyst’s more optimistic outlook.

Amazon remains one of the largest beneficiaries of continued growth in cloud computing and artificial intelligence through AWS, while its dominant e-commerce and advertising businesses provide additional earnings drivers. The combination of these businesses strengthens Amazon’s position across several of the technology sector’s major growth areas.
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