HOW DATABRICKS USES AI TO ACCELERATE INCIDENT INVESTIGATION
Databricks describes AI SRE, an AI-powered debugging agent and platform that investigates incidents across its microservices and Kubernetes infrastructure.
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Databricks describes AI SRE, an AI-powered debugging agent and platform that investigates incidents across its microservices and Kubernetes infrastructure.
Google Cloud launched a financial-services version of Gemini Enterprise with specialized agents for research and institutional workflows.
OpenAI has revealed more details about Jalapeño, its first custom AI accelerator built with Broadcom. The chip is rated at 700W but stayed at or below 550W in tested workloads, as OpenAI pushes to reduce inference costs and power use.
OpenAI's GPT-5.6 Terra and Luna models are now generally available through Amazon Bedrock in AWS GovCloud (US-West) and (US-East). Terra targets balanced performance while Luna emphasizes faster, lower-cost inference. Both offer million-token context windows and support prompt caching with a stated 90% discount for repeated context.
Cisco is adding Supermicro's liquid- and air-cooled systems to its Secure AI Factory with NVIDIA. The expanded stack targets enterprises, neoclouds, and sovereign clouds deploying increasingly dense GPU infrastructure.
Enterprise AI investment keeps climbing, but measurable earnings impact remains limited. McKinsey's latest analysis suggests companies are beginning to find clearer paths to ROI as deployments move into redesigned workflows.
SaaS is not disappearing, but cheap AI-assisted software generation will weaken the standardized applications and seat-based pricing that defined it. Vendors may instead provide underlying services such as authoritative data, compliance, security, integrations, networks, and operational accountability, while customers create more tailored applications for smaller internal audiences.
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76% of IT leaders say AI is advancing faster than their organization's ability to manage the risks it creates. Only 21% have governance controls in place for non-human identities. JumpCloud built Agentic IAM to close that gap - one identity at a time.
Perplexity's new Portable Computer runs agent workloads locally on Nvidia DGX Spark and RTX-powered Linux machines, avoiding token charges for local work. Tasks remain on-device by default and can move to cloud models when needed.
Oracle has made Exadata Database Service generally available through Oracle Database@AWS, extending its high-performance database platform into AWS datacenters. Licensing experts say the service can reduce processor-license requirements and suit license-constrained customers, but higher compute and storage costs, less granular capacity, and Oracle sales claims may undermine its value compared with native AWS options.
Supabase has generally released enterprise-managed authentication for its MCP server on Team and Enterprise plans, built with Anthropic and Okta. The feature lets an administrator authorize Supabase in Claude once and manage access through the organization's identity provider, while each employee retains the projects, role, and permissions they already have in Supabase.
Google is adding AI-powered assessments to Migration Center to automate parts of cloud migration planning and business-case development. The tools aim to speed up early analysis before deeper technical validation.
Open-weight models are moving from developer experimentation into enterprise production workloads, according to usage data cited from Vercel's AI Gateway. Cost advantage, growing role in multi-model deployments, managed inference availability, developer adoption, and suitability for agentic workloads could make open-weight models a durable part of enterprise AI without requiring widespread self-hosting.
At IETF (Internet Engineering Task Force) 126, discussions across IPv6, DNS, and AI focused on how Internet protocols may support large-scale deployment of AI agents.
Apple's new Mac Studio and Mac mini emphasize running increasingly capable AI models directly on local hardware.
OpenAI appears to be regaining ground against Anthropic among US corporate customers, according to spending data from Ramp covering more than 70,000 organisations. Anthropic led in May and July, but third-quarter trends suggest faster growth for OpenAI, while increasing overall spending on paid AI services indicates that both providers may expand even as corporate loyalty remains fluid.
Nvidia's Groq 3 LPX accelerator is entering production as part of its Vera Rubin platform, targeting ultra-fast token generation for agentic AI. Nebius is the first cloud provider committed to deploying it.
IBM is developing a dual-architecture processor that can natively execute both Arm and IBM Z instructions. The design could let enterprises run modern AI and cloud-native software directly alongside critical mainframe workloads.
Stream processing is valuable for continuous event-driven computation but is often the wrong architecture for request-response interactions, direct state queries and corrections, or work requiring locks. As evidence, Kestra rebuilt its messaging layer around plain queueing, and Confluent moved Control Center's metrics pipeline from Kafka Streams to Prometheus.
AI cybersecurity capabilities are inherently dual-use: the same ability to discover and exploit vulnerabilities is needed to defend infrastructure, with intent shaped by incentives and whoever controls the system. Defenders must automate the full loop from vulnerability detection through patching, deployment, and rollback.
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Zoom Phone [10] lives inside the Zoom app your team already uses, so replacing a legacy PBX or another provider doesn't mean a new tool, new logins, or retraining anyone. Enterprise reliability and built-in security features, plus AI that summarizes calls and transcribes voicemail. From $10.50/user/month.
Atlassian Code Context is a Teamwork Graph capability that lets developers and AI coding agents search connected GitHub and Bitbucket repositories alongside Jira, Confluence, Loom, and other organizational data. Atlassian says internally benchmarked agents using this context produced 44% more accurate results with 48% fewer tokens, while access remains controlled by existing repository permissions.
Claude Tag can now follow entire Slack conversations and proactively join discussions instead of waiting to be explicitly invoked. Anthropic describes the approach as “multiplayer AI,” where agents participate directly in team workflows.
Thomson is Thomson Reuters' first proprietary large language model. It is designed around professional legal workflows and the company's specialized data.
ClickHouse describes how its LogHouse observability platform evolved to handle OpenTelemetry ingestion at 50 million events per second without losing telemetry during ClickHouse backpressure. After finding in-memory queues and local collector write-ahead logs inadequate, the company designed a priority-based failover pipeline that keeps ClickHouse in the hot path and uses blob storage as a durable overflow buffer.
AI-focused clouds such as CoreWeave, Lambda, and Nebius offer cheaper, highly optimized GPU infrastructure, but hyperscalers still hold advantages in security, managed services, and enterprise integration. Gartner expects neoclouds could capture 20% of the AI cloud market by 2030.
Google is adding Antigravity to Gemini Enterprise with centralized budgets, quotas, and overage controls. The move gives IT teams more visibility over rapidly growing AI usage and spend.
A design for building a source-neutral, continuously maintained MTTR timeline across PagerDuty, Jira, Slack, observability systems, and other incident tools.
Cursor uses S3 as its source of truth and local NVMe repositories for latency-sensitive operations to overcome Git scaling limitations.
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* Making the most of cloud and AI investments to drive lasting org-wide impact
Alibaba plans to raise roughly $10 billion to expand its AI infrastructure, chips, data centers, and model development. The raise comes days after the company reported a 75% jump in capex tied largely to AI.
PJM is proposing rules that would make some new large-load customers, including AI data centers, interruptible when electricity supply gets tight. The proposal highlights how power availability is becoming a limiting factor for AI infrastructure growth.
Sam Altman discusses OpenAI's early non-consensus bets, scaling compute, AI adoption, and why society may absorb AI more slowly than model progress suggests. He also argues AI could enable a boom in small businesses while warning against concentrating control of the technology among too few players.
Anthropic lays out how AI changes software development beyond simply adding coding assistants, including planning, implementation, review, and operations. It argues teams need to redesign development workflows around agents rather than bolt them onto existing processes.
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1Password's recent survey [12] found that 47% of developers have seen their AI agents follow instructions embedded in untrusted content, and 74% have witnessed unintended consequences from agents. Learn more [12] about the security risks of agentic AI, and what developers can do to use agents securely.
The GitLab 19.3 update is aimed at helping enterprises scale agentic software development while retaining control over data, permissions, and spending. The release adds single-tenant deployment for the Duo Agent Platform, Secrets Manager support beyond pipelines, bulk SAST remediation, plain-language custom flow creation, and usage caps for agentic AI.
Ramp has opened the internal model-routing infrastructure it uses across more than 100 AI use cases as a standalone product. Router can automatically choose models based on cost, quality, latency, and availability. Ramp says it cut its own LLM costs by roughly 30%.
Nvidia made a minority investment in Cloverleaf Infrastructure. The companies have partnered to develop AI factories across the US. Cloverleaf says its pipeline already includes multiple gigawatt-scale infrastructure projects.
Enterprises risk repeating the cloud cost-management mistakes of the last decade as expensive GPU infrastructure proliferates. AI teams increasingly need FinOps-style controls for utilization, capacity planning, and workload economics.
Enterprise data stacks were largely designed around human access patterns, but agents need reliable real-time access across systems. That is turning data integration and context infrastructure into a prerequisite for successful agent deployments.
Anthropic plans to let enterprises keep required retained data inside their own cloud infrastructure rather than Anthropic's systems.
The release adds TLS certificate verification for vCenter connections during cloud-drive operations and includes several Kubernetes and disaster-recovery fixes.
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AI changed who can build. Employees across the business are now shipping apps, agents, and automations faster than IT can track them, a growing wave of "wild code" that solves real problems but lives outside governance and support. On September 15, join Tines VP of Product for a live conversation with TechnologyAdvice [4]on how IT can give teams the freedom to build at the speed of AI, without losing the oversight and operational rigor required to do it safely. You'll learn how to spot shadow AI and unmanaged automations before they become risk, and what it takes to support innovation without adding technical debt.
Citrix has warned customers to patch two NetScaler vulnerabilities that could enable remote authentication bypass or denial-of-service attacks under specific configurations. The company recommends upgrading affected NetScaler ADC and NetScaler Gateway appliances to specified builds, although it says neither flaw has been observed being exploited. Administrators can inspect configuration strings to determine exposure.
Slack Code brings coding agents, including Claude Code, Devin, GitHub Copilot, and Vercel, directly into shared channels where teams can prompt, review, and steer their work together. Agents operate with the invoking user's permissions, while code channels preserve diffs, previews and activity as a searchable record of the work.