Expert Advice: Page
Practical guidance from industry experts on AI
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Brand Experience Team/TechTarget
Virtual power plants could help solve the AI energy problem
Virtual power plants can help enterprises and data centers overcome power limitations by unifying energy resources to stabilize grids, reduce costs and ensure energy availability.
Stephen Bigelow • July 24, 2026 -
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AI inference cost optimization: An enterprise guide
Inference is the largest long-term expense in enterprise AI deployments. Businesses can keep AI inference costs in check with these seven optimization strategies.
Stephen Bigelow • July 21, 2026 -
Brand Experience Team/TechTarget
How to ensure interpretability in machine learning models
When building ML models, developers can use several techniques to make models easier for humans to interpret, leading to improved transparency, troubleshooting and user acceptance.
Chris Tozzi • July 2, 2026 -
Brand Experience Team/TechTarget
7 machine learning challenges facing businesses
Machine learning challenges cover everything from ethical issues to data quality and user acceptance concerns. Learn about seven common obstacles.
John Moore • June 30, 2026 -
Brand Experience Team/TechTarget
5 advantages of a semantic layer for enterprise AI
Semantic layers are an increasingly pivotal architecture for enterprise AI, enabling AI systems to more accurately identify relationships between conflicting data points.
Donald Farmer • June 25, 2026 -
Brand Experience Team/TechTarget
When to run AI on-premises vs. in the cloud
AI deployment decisions don't exist in isolation. The best environment is the one that delivers the most value for each specific AI workload given cost and governance constraints.
Abhishek Jadhav • June 23, 2026 -
Brand Experience Team/TechTarget
10 machine learning benefits for businesses
CIOs and other IT leaders can gain an edge with machine learning, from customer retention to patient care. Blending ML with other AI elements opens new possibilities.
John Moore • June 23, 2026 -
Brand Experience Team/TechTarget
How to keep data silos from damaging your AI projects
Data silos impede successful AI operation. However, there are practical ways to connect data stores and improve AI outcomes.
Stephen Bigelow • June 18, 2026 -
Brand Experience Team/TechTarget
Why AI governance and data privacy must be integrated
Connecting AI to sensitive data forces enterprises to face a hard question: Where are the privacy gaps that could expose us to legal, financial and reputational harm?
Tom Walat, Kashyap Kompella • June 18, 2026 -
Brand Experience Team/TechTarget
The best AI chatbots for 2026: Compare features and costs
AI chatbots are smarter, faster and more versatile than ever. See how top platforms like OpenAI's ChatGPT, Anthropic's Claude and Microsoft's Copilot stack up in this hands-on comparison.
Damon Garn • June 18, 2026 -
Brand Experience Team/TechTarget
How the sodium-ion battery can energize the enterprise
The sodium-ion battery won't replace all lithium-ion applications just yet. But, for grid storage, backup power and cost-sensitive projects, it's a viable alternative.
Marius Sandbu • June 11, 2026 -
Brand Experience Team/TechTarget
Controlling AI sprawl: A practical guide for the C-suite
As AI tools proliferate across enterprise teams, leaders must ensure AI use isn't redundant or unsanctioned. Do you know all the AI tools your business uses?
Zac Amos • June 4, 2026 -
Brand Experience Team/TechTarget
Best practices for integrating third-party AI with local systems
Third-party AI components are increasingly common across industries and domains, but many businesses don't know how to effectively integrate them with their local systems.
Stephen Bigelow • June 2, 2026 -
Brand Experience Team/TechTarget
How businesses can get ahead of potential AI deskilling
Will AI's efficiency gains of today come at the expense of workforce skill tomorrow? Hear one expert's thoughts on the impending AI deskilling epidemic and how to prevent it.
Chris Tozzi • May 29, 2026 -
Brand Experience Team/TechTarget
How to apply FinOps to optimize agentic AI costs
FinOps gives businesses the operating model for visibility, accountability and value management. But traditional FinOps models will need to be reworked for agentic AI.
Kashyap Kompella • May 29, 2026 -
Brand Experience Team/TechTarget
AI FinOps requires a different approach than cloud
While AI's utility will continue to generate revenue for businesses, its cost grows with it. FinOps is a key strategy and governance tool that ensures AI delivers measurable ROI.
Damon Garn • May 28, 2026 -
Brand Experience Team/TechTarget
8 AI costs leaders don’t always budget for but should
The hidden costs of enterprise AI often emerge after deployment, through stalled pilots, compliance burdens, workforce disruption, model upkeep and reputational risk.
Kinza Yasar • May 21, 2026 -
Brand Experience Team/TechTarget
Why AI pilots fail and how to move them into production
While AI pilots thrive in sandboxes, production demands clear ownership, robust data infrastructure, failure testing and runtime monitoring throughout the system's lifecycle.
Donald Farmer • May 16, 2026 -
Brand Experience Team/TechTarget
Combating the new wave of AI crimes and threats
Attackers of any skill level can now use open source tools to target businesses for AI crimes. Here's how to cover organizations' expanded attack surface and prevent disaster.
Nihad Hassan • May 14, 2026 -
Brand Experience Team/TechTarget
Generative AI ethics: 16 biggest concerns and risks
As adoption and use cases grow, generative AI is upending business models and driving ethical issues such as misinformation, brand integrity and job displacement to the forefront.
George Lawton • May 7, 2026 -
Brand Experience Team/TechTarget
Build and organize an effective machine learning team
Putting together an ML team requires a business understand why it needs one and the core roles involved in making all aspects of the machine learning process work.
Cortnie Abercrombie, Stephen Bigelow • April 28, 2026 -
Brand Experience Team/TechTarget
How to build AI skills across your workforce
AI skills are no longer an optional investment. Business leaders who know how to build AI skills throughout their organizations can unlock AI's full potential.
Kashyap Kompella • April 27, 2026 -
Brand Experience Team/TechTarget
How businesses use KPIs to measure AI’s performance
Business decision-makers under heavy pressure to justify the value of their AI projects look to key performance indicators for salvation. KPIs reveal AI's efficiency and ROI.
John Burke and Jerald Murphy • April 24, 2026 -
Brand Experience Team/TechTarget
How to use AI agents for infrastructure management
AI agents enable businesses to automate a variety of tasks, including infrastructure development. However, left unchecked, they can wreak havoc at the infrastructure layer.
Wisdom Ekpotu • April 21, 2026 -
Brand Experience Team/TechTarget
Citizen developers are redefining enterprise AI development
Generative AI is enabling nontechnical business users to build enterprise software, accelerating innovation while creating new risks around governance, security and control.
Kinza Yasar • April 17, 2026
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