Expert Advice: Page
Practical guidance from industry experts on AI
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Brand Experience Team/TechTarget
Compare 7 top AutoML tools for machine learning workflows
From cloud-based platforms to open source options, compare the pros and cons of leading AutoML tools, which automate key machine learning tasks to accelerate workflows.
Chris Tozzi • Oct. 2, 2024 -
Brand Experience Team/TechTarget
AI parameters: Explaining their role in AI model performance
What is the correlation between the number of parameters and an AI model's performance? It's not as straightforward as the parameter-rich generative AI apps would have us believe.
George Lawton • Sept. 26, 2024 -
Brand Experience Team/TechTarget
The history of artificial intelligence: Complete AI timeline
From the Turing test's introduction to ChatGPT's celebrated launch, AI's historical milestones have forever altered the lifestyles of consumers and operations of businesses.
Ron Karjian • Sept. 24, 2024 -
Brand Experience Team/TechTarget
How to manage proprietary enterprise data in AI deployments
Explore strategies for managing sensitive data in enterprise AI deployments, from establishing clear data governance to securing tools and building a responsible AI culture.
Donald Farmer • Sept. 20, 2024 -
Brand Experience Team/TechTarget
Explore the role of training data in AI and machine learning
AI and machine learning models use a variety of learning methods to process and analyze data -- but regardless of how a model is trained, data quality and relevance are crucial.
Stephen Bigelow • Sept. 20, 2024 -
Brand Experience Team/TechTarget
AI in banking: Benefits, risks, what’s next
AI technologies bring operational efficiency and customer benefits to banking. Learn how GenAI and other AI tools are transforming financial services and risks to watch out for.
Esther Shein • Sept. 18, 2024 -
Brand Experience Team/TechTarget
What’s the best programming language for machine learning?
While no one language is perfect for AI and machine learning, considering factors like efficiency, readability and community support can help developers make the best choice.
Stephen Bigelow • Sept. 10, 2024 -
Brand Experience Team/TechTarget
Trustworthy AI explained with 12 principles and a framework
To be considered trustworthy, AI systems should meet these 12 principles and employ a four-step framework to ensure the use of AI is ethical, lawful and robust.
Cortnie Abercrombie • Sept. 9, 2024 -
Brand Experience Team/TechTarget
What businesses should know about OpenAI’s GPT-4o model
Enterprise use cases are driving the need for faster AI response times, better data handling and cost optimization. OpenAI attempts to meet that need with GPT-4o.
Will Kelly • Sept. 6, 2024 -
Brand Experience Team/TechTarget
How can AI drive revenue? Here are 10 approaches
Artificial intelligence has captured the imagination of many a boardroom. Now, the emphasis has shifted to capturing revenue through AI-driven use cases.
John Moore • Sept. 6, 2024 -
Brand Experience Team/TechTarget
AI model optimization: How to do it and why it matters
Challenges like model drift and operational inefficiency can plague AI models. These model optimization strategies can help engineers improve performance and mitigate issues.
Chris Tozzi • Sept. 4, 2024 -
Brand Experience Team/TechTarget
How to choose the best GPUs for AI projects
GPUs are not all built the same. Factors like total core count, memory clock speed, hardware optimizations and cost can influence which GPU is right for a specific AI project.
Chris Tozzi • Aug. 28, 2024 -
Brand Experience Team/TechTarget
How do big data and AI work together?
Enterprises are leaning on big data to train AI algorithms and, in turn, are using AI to understand big data. The results are pushing business operations forward.
Kathleen Walch, Ron Schmelzer • Aug. 22, 2024 -
Brand Experience Team/TechTarget
Simplify enterprise AI integration with a centralized AI hub
For enterprises looking to scale their AI projects, centralized AI hubs and governance can simplify integration, streamline operations and ensure consistency.
Donald Farmer • Aug. 15, 2024 -
Brand Experience Team/TechTarget
How to use and run Jupyter Notebook: A beginner’s guide
Learn how to create your first project with Jupyter Notebook, a popular platform for presenting data science and machine learning work with interactive code, text and visuals.
Chris Tozzi • Aug. 14, 2024 -
Brand Experience Team/TechTarget
How and why to run machine learning workloads on Kubernetes
Running ML model development and deployment on Kubernetes is an absolute must in a world where decoupling workloads can optimize resources and cut costs.
Michael Levan • Aug. 12, 2024 -
Brand Experience Team/TechTarget
How and why to create an AI bill of materials
AIBOMs help developers and security teams by providing a transparent view of AI system components, improving supply chain security and compliance. Use this guide to get started.
Nihad Hassan • Aug. 8, 2024 -
Brand Experience Team/TechTarget
15 top applications of artificial intelligence in business
The use of AI in business applications and operations is expanding. Learn about where enterprises are applying AI and the benefits AI applications are driving.
Mary Pratt • Aug. 6, 2024 -
Brand Experience Team/TechTarget
Tips to prevent machine learning scalability problems
Addressing ML scalability challenges involves selecting the right models, planning resource usage and managing network connectivity to support expanding applications and data load.
Tom Nolle • July 31, 2024 -
Brand Experience Team/TechTarget
Machine learning vs. neural networks: What’s the difference?
Though machine learning and neural networks are both forms of AI, neural networks are a specific type of ML algorithm. Learn more about their similarities and differences.
Stephen Bigelow • July 29, 2024 -
Brand Experience Team/TechTarget
Microsoft 365 Copilot features and architecture explained
Microsoft's new assistant adds generative AI to the workplace, using various features and architectural components for automated suggestions, content creation and data insights.
Marius Sandbu • July 24, 2024 -
Brand Experience Team/TechTarget
How to build the business case for AI initiatives
Building a compelling business case for AI requires attention to business pain points, financial and risk considerations, and collaboration with the CFO.
Will Kelly • July 22, 2024 -
Brand Experience Team/TechTarget
Best practices for integrating AI and ESG strategies
Integrating environmental, social and governance goals into AI models can help organizations achieve more ethical, responsible and sustainable business outcomes.
Bill Schmarzo • July 18, 2024 -
Brand Experience Team/TechTarget
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.
Kerry Doyle • July 11, 2024 -
Brand Experience Team/TechTarget
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.
Kashyap Kompella • July 11, 2024
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