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Generative AI vs. predictive AI: Understanding the differences
Generative AI and predictive AI vary in how they handle use cases and unstructured and structured data, respectively. Explore the benefits and limitations of each.
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Microsoft, Google make moves amid regulators' AI scrutiny
Microsoft is withdrawing stepping down from the OpenAI board. Google has reportedly disbanded its machine learning privacy team. Both vendors face investigations.
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10 popular libraries to use for machine learning projects
Machine learning libraries expedite the development process by providing optimized algorithms, prebuilt models and other support. Learn about 10 widely used ML libraries.
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Is your business ready for the EU AI Act?
The EU AI Act provides businesses with a rubric for AI compliance. Businesses must understand the landmark act to align their practices with upcoming AI regulations.
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AI Infrastructure News
AWS intros GenAI app studio, updates Amazon Q and Bedrock
The cloud provider introduced new features that help enterprises create applications faster, while still applying responsible practices. It also unveiled new educational resources.
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AI Technologies News
Microsoft, Google make moves amid regulators' AI scrutiny
Microsoft is withdrawing stepping down from the OpenAI board. Google has reportedly disbanded its machine learning privacy team. Both vendors face investigations.
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AI Platforms Evaluate
Claude vs. ChatGPT: How do they compare?
Compare Anthropic's Claude vs. OpenAI's ChatGPT in terms of features, model options, costs, performance and privacy to decide which generative AI tool better suits your needs.
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ML Platforms Evaluate
10 popular libraries to use for machine learning projects
Machine learning libraries expedite the development process by providing optimized algorithms, prebuilt models and other support. Learn about 10 widely used ML libraries.
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AI Business Strategies Get Started
Generative AI vs. predictive AI: Understanding the differences
Generative AI and predictive AI vary in how they handle use cases and unstructured and structured data, respectively. Explore the benefits and limitations of each.
-
Applications of AI News
Moving GenAI from proof of concept to production on AWS
A prevailing critique of generative AI tools is that they can't be put into practice. However, some organizations now use vendor tools to produce capabilities for their clients.
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Evaluate
Generative AI vs. predictive AI: Understanding the differences
Generative AI and predictive AI vary in how they handle use cases and unstructured and structured data, respectively. Explore the benefits and limitations of each.
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10 popular libraries to use for machine learning projects
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ChatGPT vs. GPT: How are they different?
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What are the benefits of an MLOps framework?
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Problem Solve
A short guide to managing generative AI hallucinations
Generative AI hallucinations cause major problems in the enterprise. Mitigation strategies like retrieval-augmented generation, data validation and continuous monitoring can help.
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What companies are getting wrong about AI
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Best practices for getting started with MLOps
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Clean data is the foundation of machine learning
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Is your business ready for the EU AI Act?
The EU AI Act provides businesses with a rubric for AI compliance. Businesses must understand the landmark act to align their practices with upcoming AI regulations.
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7 machine learning challenges facing businesses
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How to build and organize a machine learning team
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How to become a natural language processing engineer
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E-Handbook | August 2020
Machine learning and bias concerns weigh on data scientists
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E-Handbook | November 2019
Data visualization process yields 360 AI-driven analytics view
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E-Handbook | October 2019
Neural network applications in business run wide, fast and deep
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E-Handbook | July 2019
Machine learning platform architecture demands deep analysis
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Buyer's Handbook | June 2019
Pinpoint the right RPA products to advance your organization
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Enterprise Artificial Intelligence Basics
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Get Started
Generative AI vs. predictive AI: Understanding the differences
Generative AI and predictive AI vary in how they handle use cases and unstructured and structured data, respectively. Explore the benefits and limitations of each.
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Get Started
gradient descent
Gradient descent is an optimization algorithm that refines a machine learning (ML) model's parameters to create a more accurate model.
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Learn how to create a machine learning pipeline
Well-considered machine learning pipelines provide a structured approach to AI development in modern IT environments, ensuring uniformity, speed and business alignment.
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AI technologies
Microsoft, Google make moves amid regulators' AI scrutiny
Microsoft is withdrawing stepping down from the OpenAI board. Google has reportedly disbanded its machine learning privacy team. Both vendors face investigations.
-
Enterprise applications of AI
Moving GenAI from proof of concept to production on AWS
A prevailing critique of generative AI tools is that they can't be put into practice. However, some organizations now use vendor tools to produce capabilities for their clients.
-
AI infrastructure
AWS intros GenAI app studio, updates Amazon Q and Bedrock
The cloud provider introduced new features that help enterprises create applications faster, while still applying responsible practices. It also unveiled new educational resources.
Enterprise AI Definitions
- gradient descent
- large language model operations (LLMOps)
- automated machine learning (AutoML)
- self-driving car (autonomous car or driverless car)
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- data splitting
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