New & Notable
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.
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.
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 Get Started
How to navigate data sovereignty for AI compliance
As AI systems consume data for training and decision-making, businesses must navigate complex regulations, geopolitical boundaries and vendor risks.
-
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
-
Artificial Intelligence
AWS Gamechangers
AWS Gamechangers showcases partners and customers who are transforming industries through generative AI. Celebrate the visionaries who are pushing the boundaries of what's possible.
-
Business Applications
Modernize Workloads in the Cloud to Drive Business Transformation with AWS and AWS Partners
Accelerate business innovations by modernizing Windows Server and SQL Server workloads with AWS purpose-built services and open-source technologies. Benefit from the knowledge and expertise working with AWS Partners to achieve faster time-to-market for new service creation and delivery.
-
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
How to navigate data sovereignty for AI compliance
As AI systems consume data for training and decision-making, businesses must navigate complex regulations, geopolitical boundaries and vendor risks.
-
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.
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
- 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









