New & Notable
Get Started
FinOps can manage AI computing costs, experts say
FinOps is no longer just about optimizing cloud spending. Hear from experts on what makes FinOps a desirable option to help businesses manage their AI costs.
Get Started
History of generative AI innovations spans 9 decades
Rapid GenAI advances are reshaping industries, sparking legal battles and driving embodied AI innovations, paving the way for transformative business processes and tools.
Evaluate
AI ethical red flags businesses must avoid
AI tools are everywhere in businesses, but are ethical best practices keeping pace? Here are the ethical AI red flags business leaders are seeing, and how to avoid them.
Get Started
LLM build vs. buy: A decision framework for LLM adoption
When deciding whether to build or buy a large language model, businesses must consider costs, customization, governance, risk and readiness to determine the best AI approach.
Trending Topics
-
AI Infrastructure Evaluate
Open source AI: What it means for enterprise innovation
Open source AI is transforming enterprise innovation with greater flexibility and control, but organizations must address governance, security and operational challenges to scale effectively.
-
AI Technologies Get Started
History of generative AI innovations spans 9 decades
Rapid GenAI advances are reshaping industries, sparking legal battles and driving embodied AI innovations, paving the way for transformative business processes and tools.
-
AI Platforms Evaluate
What Nvidia's $78B quarter tells you about enterprise AI
Nvidia's latest earnings reveal more than impressive revenue figures. They highlight the accelerating adoption of enterprise AI and the growing pressure on infrastructure capacity.
-
ML Platforms Get Started
Regression in machine learning: A crash course for engineers
Regression in machine learning helps organizations forecast and make better decisions by revealing the relationships between variables. Learn how it's applied across industries.
-
AI Business Strategies Get Started
FinOps can manage AI computing costs, experts say
FinOps is no longer just about optimizing cloud spending. Hear from experts on what makes FinOps a desirable option to help businesses manage their AI costs.
-
Applications of AI Get Started
Time for AI: The 'too busy' problem is a software-age hangover
Higher education must prioritize enterprise AI as a strategic shift, not just tool buying. Learn how governance, alignment and a five-year plan can transform institutions.
Sponsored Sites
-
Intelligent Agreement Management
Accelerate revenue, reduce risk and unlock value
Over 1.6 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate business processes and simplify lives. Using the Docusign IAM platform, companies can create, commit to, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
-
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.
-
Linux Solutions
eLxr Pro: Linux for Cloud-to-Edge Deployments
Featured Authors
Find Solutions For Your Project
-
Evaluate
Open source AI: What it means for enterprise innovation
Open source AI is transforming enterprise innovation with greater flexibility and control, but organizations must address governance, security and operational challenges to scale effectively.
-
AI ethical red flags businesses must avoid
-
LLM build vs. buy: A decision framework for LLM adoption
-
Time to rethink cloud architecture for enterprise AI
-
-
Problem Solve
GenAI's role in a return trek to the moon and beyond
NASA's use of GenAI models in the Artemis space program and communication with Mars rovers provides valuable business lessons in governance and keeping humans in the loop.
-
Smarter robots: Agentic and physical AI converge in business
-
Is GenAI villain and hero in data center power drama?
-
C-suite shakeup: Demand for chief AI officers accelerates
-
-
Manage
7 best practices to avoid AI vendor lock-in
While lock-in is sometimes unavoidable, it's the very definition of risk. Businesses can use these best practices to mitigate lock-in risk with AI vendors.
-
AI risk management: A strategic guide for enterprise leaders
-
How to preprocess different types of data for AI workloads
-
Build accountability into AI to drive business value
-
Enterprise Artificial Intelligence Basics
-
Get Started
FinOps can manage AI computing costs, experts say
FinOps is no longer just about optimizing cloud spending. Hear from experts on what makes FinOps a desirable option to help businesses manage their AI costs.
-
Get Started
History of generative AI innovations spans 9 decades
Rapid GenAI advances are reshaping industries, sparking legal battles and driving embodied AI innovations, paving the way for transformative business processes and tools.
-
Get Started
LLM build vs. buy: A decision framework for LLM adoption
When deciding whether to build or buy a large language model, businesses must consider costs, customization, governance, risk and readiness to determine the best AI approach.
Multimedia
Vendor Resources
-
News
View All -
AI business strategies
U.S. federal AI framework deemed aspirational, noncommittal
The latest executive order is a step toward federal AI regulation. But it's largely noncommittal and shifts most responsibility to Congress, creating an interesting midterm dynamic.
-
AI technologies
How simulations and digital twins are advancing robotics
Nvidia GTC 2026 showed the potential of robotics across industries. But these systems must undergo stress testing, and digital twins and simulation are the key.
-
AI technologies
Can tokenization free up more data for AI model training?
Research from Capital One Software and PwC suggests enterprises can tap sensitive data to train AI models while balancing predictive power and privacy.
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