New & Notable
Get Started
5 skills needed to become a prompt engineer
With the rise of generative AI, prompt engineering has emerged as a new profession. Desired skills include refining prompts, analyzing AI output and ensuring alignment with business goals.
Manage
Top AI KPIs that business leaders need to know
AI-specific KPIs can indicate model performance, customer satisfaction and overall business value. Explore these 25 AI KPIs to elevate the management of any AI initiative.
Evaluate
The operational reality of enterprise AI
AI models are now commodities. It's enterprise challenges like security, scalability and integration are the real barriers to successful deployment.
Manage
What to know about synthetic data as a business advantage
Synthetic data mimics real data without sensitive information. It offers cost-effective options and competitive advantages for AI training, software testing and data monetization.
Trending Topics
-
AI Infrastructure Get Started
Optimizing hybrid cloud architecture for AI workloads
Hybrid cloud architecture can help with the unique scalability, hardware and governance needs of AI workloads. But is it the right choice for your business?
-
AI Technologies Problem Solve
How watermarking AI content benefits businesses
AI watermarking is being used to identify deepfakes, enhance transparency and build trust in AI-generated content, but reliability issues and false positives present challenges.
-
AI Platforms Get Started
AI governance can make or break data monetization
As pressures mount for businesses to get the most value from their data, AI governance ensures the data to be monetized is secure, protected, trustworthy and used responsibly.
-
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 Manage
Top AI KPIs that business leaders need to know
AI-specific KPIs can indicate model performance, customer satisfaction and overall business value. Explore these 25 AI KPIs to elevate the management of any AI initiative.
-
Applications of AI Evaluate
AI's business future: What's to come in the next 5 years
Five years can seem like an eternity in a world where AI's technological advancements occur almost daily, but best to be prepared now and avoid "future shocks."
Sponsored Sites
-
Information Management
Information Reimagined
Looking to drive innovation, enhance security, and streamline operations? Information management solutions based on AI, cloud, and security help you get there.
-
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).
-
Cloud
Optimize Your Cloud Migration with AWS & Infoblox
Find Solutions For Your Project
-
Evaluate
The operational reality of enterprise AI
AI models are now commodities. It's enterprise challenges like security, scalability and integration are the real barriers to successful deployment.
-
10 AI business use cases that produce measurable ROI
-
7 best practices for leading and managing agentic teams
-
Spotlight on AI and emerging tech in 2026
-
-
Problem Solve
How watermarking AI content benefits businesses
AI watermarking is being used to identify deepfakes, enhance transparency and build trust in AI-generated content, but reliability issues and false positives present challenges.
-
What to know about synthetic data as a business advantage
-
Leading AI with ethics: The new governance mandate
-
Context engineering takes prompting to a higher business level
-
-
Manage
5 skills needed to become a prompt engineer
With the rise of generative AI, prompt engineering has emerged as a new profession. Desired skills include refining prompts, analyzing AI output and ensuring alignment with business goals.
-
Top AI KPIs that business leaders need to know
-
How to ensure AI transparency, explainability and trust
-
Turn your AI center of excellence from sidelines to impact
-
Enterprise Artificial Intelligence Basics
-
Get Started
5 skills needed to become a prompt engineer
With the rise of generative AI, prompt engineering has emerged as a new profession. Desired skills include refining prompts, analyzing AI output and ensuring alignment with business goals.
-
Get Started
10 AI business use cases that produce measurable ROI
When justifying their investments in AI deployments, business leaders know keeping up with the Joneses isn't enough without uncovering a positive ROI. Here's where to find it.
-
Get Started
Context engineering takes prompting to a higher business level
In the care and feeding of AI models and chatbot interfaces, prompting alone can be a fool's errand in strategic business planning without the proper context to interpret prompts.
Multimedia
Vendor Resources
-
News
View All -
AI business strategies
AI's impact on Google search engine antitrust ruling
While some believe the ruling was too light, it does emphasize the role of GenAI vendors as competitors in the market.
-
Artificial intelligence platforms
Anthropic announces $13B fundraise, $183B valuation
While the vendor's valuation is still far away from OpenAI's, investors still have confidence in the vendor -- especially as it focuses on enterprise safety and coding.
-
AI technologies
The implications of OpenAI's speech model gpt-realtime
While the new model is beneficial for the expressiveness of voices, it also shows how blurry the lines are between human and AI voices.
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
- Agentic AI explained: Key concepts and enterprise use cases
- What is natural language processing (NLP)?
- What is a neural network?
- What is a robot? Definition, purpose, uses








