New & Notable
News
With Nvidia GPUs, CoreWeave hits architectural milestone
TechTarget has learned that CoreWeave has put powerful multi-rack capabilities into production around Nvidia's latest AI platform.
News
Zoom launches AI-powered revenue OS to compete in CRM market
Zoom is aiming to diversify its product offerings amid declining enterprise adoption. However, the video communications vendor faces fierce competition.
Problem Solve
Prompt engineering and other tips to prevent AI sycophancy
AI sycophancy can reinforce biases and lead to poor business outcomes. But what are the signs that AI has become sycophantic, and are there techniques to avoid it?
News
Physical AI's challenge: Making humanoid robots work in the real world
The next stage of physical AI will depend on improving human-robot interactions.
Trending Topics
-
Quantum Computing News
What Claude Mythos revealed about post-quantum security
Quantum computing will break standard security codes and change how we protect data and prepare for the future. Claude Mythos proved we're still not ready for the quantum era.
-
Enterprise AI Strategy News
The AI safety crunch and how enterprises should deal with it
The competitive landscape, particularly the geopolitical clash between the U.S. and China, complicates the AI safety dilemma.
-
Emerging Tech News
Fully driverless robotaxis now operating in Europe
The trial is the first of its kind on the continent.
-
AI Technologies & Platforms Evaluate
Ethical AI surveillance balances oversight and transparency
AI-powered employee surveillance gives employers new visibility into workers while raising concerns about privacy, bias and trust. Learn how enterprises can deploy it responsibly.
-
AI Infrastructure News
Harnesses bring coordination and guardrails to enterprise AI agents
The meaning of harness is still evolving.
-
AI Ethics & Governance News
Enterprises in shaky spot amid calls for an AI slowdown
Calls for an AI slowdown come as enterprise demand is building for cheaper and unregulated open source models from China.
Sponsored Sites
-
Information Management
Microsoft & Celebal Tech
-
Information Management
Microsoft and Capgemini
Microsoft and Capgemini are helping Energy organizations modernize asset inspection with Microsoft’s Intelligence & Trust Frontier Transformation platform and Capgemini’s deep industry, engineering, and AI integration expertise, delivering AI-driven insights that improve safety, efficiency, compliance, and sustainability at scale.
-
Information Management
ServiceNow & Microsoft Hyperscaler
The strategic integration between ServiceNow and Microsoft Azure enables organizations to enhance their digital workflow capabilities while maintaining full control over data and cloud infrastructure. By moving ServiceNow instances to Azure, enterprises gain seamless access to both platforms through a unified interface, combining ServiceNow's workflow automation with Azure's scalable cloud services. This integration supports enhanced IT service management, automated incident handling through Microsoft Defender for Cloud, and streamlined configuration compliance monitoring—all while ensuring zero disruption to existing business processes and accelerating innovation through tighter platform integrations.
Find Solutions For Your Project
-
Evaluate
Physical AI deployment challenges and how to address them
Physical AI can conjure up unique but solvable issues surrounding unpredictability, data quality, safety and cost overruns. Avoid business disruptions with these best practices.
-
What it finally takes to make quantum commercially viable
-
To justify physical AI costs, choose high-value use cases
-
Making space for spatial computing
-
-
Problem Solve
Prompt engineering and other tips to prevent AI sycophancy
AI sycophancy can reinforce biases and lead to poor business outcomes. But what are the signs that AI has become sycophantic, and are there techniques to avoid it?
-
Key guardrails to defend against rogue AI agents
-
AI agent security: How reliable is enterprise AI testing?
-
Embodied AI vs. physical AI: Why their differences matter
-
-
Manage
Key enterprise strategies for AI agent observability
Monitoring AI agents encompasses three pillars: agent intent, method and outcome. Explore all three, along with best practices for AI agent observability.
-
AI cloud migration: Key steps to success
-
Planning AI infrastructure upgrades: Four steps for success
-
What businesses really need from an AI off switch
-
AI & Emerging Tech Basics
-
Get Started
Physical AI deployment challenges and how to address them
Physical AI can conjure up unique but solvable issues surrounding unpredictability, data quality, safety and cost overruns. Avoid business disruptions with these best practices.
-
Get Started
What it finally takes to make quantum commercially viable
Turns out quantum computing still has several missing links on the road to commercial viability, including better fault tolerance, lower error rates and more qubits per system.
-
Get Started
To justify physical AI costs, choose high-value use cases
Physical AI is starting to drive business value in industries like manufacturing and healthcare. But the ROI calculus is subtle and calls for a wide-angle view of metrics.
Multimedia
Vendor Resources
- The DevOps Roadmap for Security –eBook
- From Code to Production –Analyst Report
- Enterprise Networking Sees Age of SASE and Network as a Service –Research Content
-
News
View All -
AI Technologies & Platforms
Zoom launches AI-powered revenue OS to compete in CRM market
Zoom is aiming to diversify its product offerings amid declining enterprise adoption. However, the video communications vendor faces fierce competition.
-
AI Technologies & Platforms
Physical AI's challenge: Making humanoid robots work in the real world
The next stage of physical AI will depend on improving human-robot interactions.
-
AI Ethics & Governance
Enterprises in shaky spot amid calls for an AI slowdown
Calls for an AI slowdown come as enterprise demand is building for cheaper and unregulated open source models from China.
AI & Emerging Tech Definitions
- What is automated machine learning (AutoML)?
- What is a data scientist? What do they do?
- What are AI agents? Types and examples
- What is an intelligent agent? Definition, use cases and benefits
- What is natural language processing (NLP)?
- Agentic AI explained: Key concepts and enterprise use cases
- What is a neural network?
- What is a robot? Definition, purpose, uses