New & Notable
News
25 women pioneers who shaped AI's evolution
From the very first algorithm in the 1840s to World War II's ENIAC to current Mythos headlines, women can stake claim to some of the most notable advancements in AI's history.
Evaluate
10 machine learning benefits for businesses
CIOs and other IT leaders can gain an edge with machine learning, from customer retention to patient care. Blending ML with other AI elements opens new possibilities.
Manage
How to keep data silos from damaging your AI projects
Data silos impede successful AI operation. However, there are practical ways to connect data stores and improve AI outcomes.
Manage
Why AI governance and data privacy must be integrated
Connecting AI to sensitive data forces enterprises to face a hard question: Where are the privacy gaps that could expose us to legal, financial and reputational harm?
Trending Topics
-
AI Infrastructure Evaluate
When to run AI on-premises vs. in the cloud
AI deployment decisions don't exist in isolation. The best environment is the one that delivers the most value for each specific AI workload given cost and governance constraints.
-
AI Technologies Evaluate
12 top machine learning use cases and business applications
Machine learning applications in the era of GenAI and AI agents are increasing the efficiency and accuracy of everything from decision-making to maintenance to service delivery.
-
AI Platforms Evaluate
The best AI chatbots for 2026: Compare features and costs
AI chatbots are smarter, faster and more versatile than ever. See how top platforms like OpenAI's ChatGPT, Anthropic's Claude and Microsoft's Copilot stack up in this hands-on comparison.
-
ML Platforms Manage
Build and organize an effective machine learning team
Putting together an ML team requires a business understand why it needs one and the core roles involved in making all aspects of the machine learning process work.
-
AI Business Strategies News
25 women pioneers who shaped AI's evolution
From the very first algorithm in the 1840s to World War II's ENIAC to current Mythos headlines, women can stake claim to some of the most notable advancements in AI's history.
-
Applications of AI Manage
Why AI governance and data privacy must be integrated
Connecting AI to sensitive data forces enterprises to face a hard question: Where are the privacy gaps that could expose us to legal, financial and reputational harm?
Sponsored Sites
-
Artificial Intelligence
AWS for Software and Technology Companies
Welcome to your resource hub for transforming your software business with AWS. Access essential guides for every stage of your cloud journey - from modernizing applications and optimizing costs to implementing cutting-edge generative AI solutions. Explore our curated collection of expert content, including the latest IDC research on SaaS efficiency, practical migration playbooks, and strategic guidance for AI implementation.
-
Processors
AWS and AMD: Powerful processors to right size your workload
AWS and AMD have collaborated to give customers more choice and value in cloud computing, starting with the first generation AMD EPYC processors in 2018, expanding to the second generation AMD EPYC processors in 2020, and most recently with fifth generation AMD EPYC processors now available.
-
Cloud Computing
Building AI infrastructure with Google and AMD
Google and AMD combine forces to set a new standard in performance and cost efficiency across all your workloads, delivering unmatched computing excellence.
Find Solutions For Your Project
-
Evaluate
When to run AI on-premises vs. in the cloud
AI deployment decisions don't exist in isolation. The best environment is the one that delivers the most value for each specific AI workload given cost and governance constraints.
-
25 women pioneers who shaped AI's evolution
-
10 machine learning benefits for businesses
-
The best AI chatbots for 2026: Compare features and costs
-
-
Problem Solve
How to keep data silos from damaging your AI projects
Data silos impede successful AI operation. However, there are practical ways to connect data stores and improve AI outcomes.
-
Autonomous warehouse drones streamline inventory control
-
Your AI advantage isn't speed -- it's judgment
-
Humanoid robots not quite ready for primetime
-
-
Manage
Why AI governance and data privacy must be integrated
Connecting AI to sensitive data forces enterprises to face a hard question: Where are the privacy gaps that could expose us to legal, financial and reputational harm?
-
Controlling AI sprawl: A practical guide for the C-suite
-
Best practices for integrating third-party AI with local systems
-
10 top AI knowledge management platforms for businesses
-
Enterprise Artificial Intelligence Basics
-
Get Started
Autonomous warehouse drones streamline inventory control
Autonomous indoor AI drones join the workforce, moving about factories and warehouses to track inventory, identify missing products and predict equipment maintenance.
-
Get Started
Humanoid robots not quite ready for primetime
Don't be fooled by a robot's impressive display of movement and dexterity during onstage demos in controlled environments. Humanoid exploits in the real world can disappoint.
-
Get Started
Futurists predict what's next for AI and emerging technology
The clock is ticking for businesses to start researching and investing in a range of emerging technologies. Experts weigh in on the tech they think will shape the future.
Multimedia
Vendor Resources
-
News
View All -
Enterprise applications of AI
MIT study warns of major AI risk. Is governance keeping up?
AI experts warn of catastrophic AI risks, but governance lags, with security concerns driving policy while broader risks aren't being fully addressed.
-
AI technologies
SpaceX IPO aims for AI and orbital data centers
The record-setting debut asks investors to buy into an integrated hardware and software infrastructure play that spans space, energy and data resources.
-
AI technologies
Trump AI order targets frontier model prerelease review
The White House's voluntary AI executive order creates a prerelease review process for frontier models, raising questions about release timelines, vendor trust and enterprise procurement.
Search Enterprise AI 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









