69 articles
AI infrastructure is consolidating fast, as Nscale's Anyscale acquisition and AMD's full-stack push show enterprises now demand end-to-end platforms, not.
Microsoft is competing against OpenAI and Anthropic, companies it invested in, by pushing cheaper homegrown AI models and urging enterprises to avoid.
Open AI model weights don't guarantee enterprise access; Together AI and Fireworks AI fill the cloud gap left by AWS, Azure, and Google on Kimi K3.
Over 95% of tokens served by Fireworks AI come from specialized models, proving the real open-weight opportunity is in customization and serving, not free.
AMD's new Helios AI chips deliver 30% more inference tokens per dollar, with OpenAI, Anthropic, and Meta already committing to large-scale deployments.
No-code AI platforms let non-technical teams build AI apps without coding, and by 2026, 80% of low-code users will work outside formal IT.
Echo's multi-model AI orchestration claims frontier performance at one-third the cost, but mixed benchmarks and opacity over routing decisions fuel.
Legacy code modernization is now the prerequisite for AI adoption, and incremental strategies like the strangler fig pattern can unlock it safely.
Wowza's Video Intelligence Framework turns live camera feeds into real-time AI insights on your own infrastructure, no cloud required, for over one.
Confusing AI-enhanced tools with native AI platforms is costing marketing teams millions; here's how to evaluate AI marketing tools before you invest.
Enterprise analytics teams are ditching legacy platforms for cloud-native, open-source alternatives that cut licensing costs and support modern AI.
AI agents now build complete apps in 90 minutes, autonomously writing code, running tests, and deploying software with minimal human input.
Java developers can now add AI agent interfaces to Spring Boot apps using AG-UI, a standard protocol that eliminates custom WebSocket and event-handling.
40% of AI-generated SQL queries fail silently, inflating revenue figures without warning; here is how teams are fixing the hidden data problem.
Meta's new coding API forces engineering teams to benchmark Muse Spark 1.1 against real workflows, not launch-day claims, before switching providers.
Benchmarks of 90 live AI agent framework runs reveal an 11% token cost gap between top tools, making framework choice a real production decision.
Small AI teams in 2026 are replacing full-time engineers with purpose-built platforms, a survival strategy that matters most when capital is scarce.
SpaceX's $60B Cursor acquisition is reshaping the AI coding tool market, with Cursor losing 15 points of market share within weeks of the deal closing.
91% of mid-market firms use generative AI, but most are ditching off-the-shelf platforms for custom agentic AI development partners to bridge the.
AI agents fail when APIs are poorly designed, and over 40% of agentic AI projects may be canceled by 2027 due to bad infrastructure.
AI gateways are becoming enterprise security's critical control point, handling LLM routing, cost tracking, and real-time agent oversight in one place.
The AI skills gap is widening fast, as companies need engineers who master cloud, MLOps, and governance, not just model training.
Southeast Asia's AI adoption is stalling: boards demand AI, but legacy infrastructure and talent gaps stop most deployments before they reach production.
Robot learning labs now deploy in hours instead of months, thanks to pre-integrated hardware-software stacks that compress research cycles from months to.
68% of enterprise AI runs invisibly through third-party cloud software, creating security blind spots that most IT teams are only beginning to recognize.
Developers in 2026 are ditching all-in-one AI platforms for specialized tools, but that fragmentation is now creating its own bottleneck in the workflow.
AI agents evolved from text-only models to tool-calling, computer-controlling systems in under three years, now unified by open protocols like MCP and A2A.
Together AI raised $800M at an $8.3B valuation, with open-weight models now cutting enterprise inference costs up to 60x versus closed AI APIs.
AI infrastructure companies are quietly becoming the backbone of enterprise AI, with one startup hitting $100M ARR in 14 months by solving data quality.
Commercial real estate teams are replacing disconnected AI point solutions with integrated operating layers that cut underwriting time from hours to.
Finding a.NET developer who can build real AI systems is rare, and choosing the wrong vendor risks budget overruns and broken integrations.
Salesforce Einstein 2026 adds generative AI and autonomous agents to CRM workflows, letting sales, service, and marketing teams automate tasks using.
Mastering 10 core AI development technologies, from Python and ML frameworks to cloud platforms and CI/CD pipelines, is now essential to stay competitive.
Jamf's new AI Governance tool helps enterprises detect shadow AI apps on Mac, enforce endpoint policies, and audit usage as AI security incidents rise 40%.
NVIDIA's Secure Agent Workspace separates execution from user devices, giving enterprises identity controls, credential proxies, and human approval gates.
Composio now lets developers connect Mistral AI to the OpenAI Agents SDK in hours, handling auth automatically so teams can skip weeks of custom.
Contact centers are ditching call deflection for true resolution, using AI tools that eliminate callbacks and measurably improve customer satisfaction.
AI-generated code is outpacing testing tools, but agentic API mocking and service virtualization can close the gap as 73% of teams struggle to validate.
The AI toolkit market is set to hit $874 billion by 2035, yet most companies adopting AI tools still aren't seeing real productivity gains.
CData's three free AI developer tools let teams query enterprise data with full governance built in, removing the tradeoff between speed and security.
Okta's AI agent identity framework has signed 25+ partners, giving enterprises centralized access controls for autonomous AI workflows starting August.
Claude Opus 4.8 paired with Strands Agent can turn hours of manual research into minutes by autonomously planning, executing, and verifying complex AI.
Financial institutions are embedding AI into software architecture from day one in 2026, as 88% of firms already cite governance and security as critical.
74% of consumers say the internet feels less human, yet no brand has proven it uses AI well, making AI brand visibility the crisis nobody has solved.
AI agents are hitting a reasoning wall because they lack metadata context, causing costly errors that ripple across entire organizations at machine speed.
AI spending forecasts keep missing the mark because inference costs alone can reach 90% of lifetime AI costs, and most teams never see it coming.
Only a handful of companies like Anthropic, OpenAI, and Microsoft have deployed working agentic AI systems in production despite widespread industry.
AI content moderation faces a crisis as platforms struggle with massive content volumes, forcing costly real-time systems that still can't balance.
Recruiters now prioritize Python developers who can build AI applications over those with basic coding skills, creating new career opportunities.
Most executives can't pass AI governance audits as autonomous agents create new oversight challenges that traditional compliance approaches fail to.
