Expert Advice: Page
Practical guidance from industry experts on AI
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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 -
Brand Experience Team/TechTarget
Infrastructure requirements for physical AI systems
Physical AI systems are becoming a priority for companies because of their strategic and operational advantages. But businesses must contend with their infrastructure needs.
Kerry Doyle • April 17, 2026 -
Brand Experience Team/TechTarget
Exploring the context layer for AI systems
To meet the needs of AI's increasing agency, context layers capture the missing reasoning, business rules and decision rationale that power truly aligned, autonomous AI systems.
Abhishek Jadhav • April 16, 2026 -
Brand Experience Team/TechTarget
4 strategic approaches to effective shadow AI governance
Shadow AI is a technological risk and a governance challenge. Organizations must combine structured frameworks, continuous visibility and education to control these risks.
Nihad Hassan • April 15, 2026 -
Brand Experience Team/TechTarget
The business case for a multi-cloud AI strategy
Using a single cloud provider for AI infrastructure can have its limitations. Discover the benefits businesses can realize by opting for a multi-cloud AI strategy.
Stephen Bigelow • April 9, 2026 -
Brand Experience Team/TechTarget
How to choose a data center for AI workloads
Variables like power and network capacity affect the ability of data centers to support AI workloads. But not all AI workloads require the most powerful data center capabilities.
Chris Tozzi • April 8, 2026 -
Brand Experience Team/TechTarget
Managing drift in AI models and data
The training data and algorithms used to build AI models have a shelf life. Detecting and correcting model drift ensures that these systems stay accurate, relevant and useful.
Stephen Bigelow • April 2, 2026 -
Brand Experience Team/TechTarget
History of generative AI innovations spans 9 decades
Rapid GenAI advances are reshaping industries, sparking legal battles and driving embodied AI innovations, paving the way for transformative business processes and tools.
George Lawton • March 31, 2026 -
Brand Experience Team/TechTarget
LLM build vs. buy: A decision framework for LLM adoption
When deciding whether to build or buy a large language model, businesses must consider costs, customization, governance, risk and readiness to determine the best AI approach.
Stephen Bigelow • March 31, 2026 -
Brand Experience Team/TechTarget
7 best practices to avoid AI vendor lock-in
While lock-in is sometimes unavoidable, it's the very definition of risk. Businesses can use these best practices to mitigate lock-in risk with AI vendors.
Stephen Bigelow • March 30, 2026 -
Brand Experience Team/TechTarget
AI risk management: A strategic guide for enterprise leaders
Enterprises across business sectors are adopting AI technologies, but are they prepared to deal with the risks? Our AI risk management guide can help.
Nihad Hassan • March 27, 2026 -
Brand Experience Team/TechTarget
How to preprocess different types of data for AI workloads
Data preparation for AI differs by data type. However, common themes include improving data quality, ensuring consistency, reducing computing demands and enhancing model performance.
Stephen Bigelow • March 24, 2026 -
Brand Experience Team/TechTarget
5 questions every CIO should ask before investing in AI
AI investment is accelerating, but many initiatives fail to scale. Five key questions help CIOs evaluate use cases, data readiness, long-term value and risk before committing resources.
Kinza Yasar • March 23, 2026 -
Brand Experience Team/TechTarget
Build accountability into AI to drive business value
In a perfect world, AI systems work 100% of the time, but that's not the case in the real world. AI accountability ensures someone takes responsibility when AI fails.
Kashyap Kompella • March 20, 2026 -
Brand Experience Team/TechTarget
Does your organization need an AI ethics committee?
Ethics oversight ensures high-risk AI use is accountable, responsible and compliant. Not all organizations need one; some incorporate this oversight into risk or legal teams.
Kinza Yasar • March 20, 2026 -
Brand Experience Team/TechTarget
Why and how enterprises should build a green AI initiative
Executives making AI decisions must consider ethics, compliance and now environmental impact. Learn how green AI aligns governance and sustainability to improve digital strategies.
Damon Garn • March 12, 2026 -
Brand Experience Team/TechTarget
Tools and techniques for optimizing AI data pipelines
Enhancing the five critical stages of AI data pipelines is essential; it determines whether AI drives business value or becomes a drain on resources.
Stephen Bigelow • March 4, 2026 -
Brand Experience Team/TechTarget
7 practical tips for agentic AI cost optimization
Building an agentic AI cost-management framework requires unique considerations and details. These tips can help businesses get started.
Kashyap Kompella • Feb. 24, 2026 -
Brand Experience Team/TechTarget
The ethics that make human-AI agent collaboration work
Skepticism and distrust are common with new technology. Executives must develop a culture of trust with AI to ensure effective human-AI agent collaboration.
Zac Amos • Feb. 23, 2026 -
Brand Experience Team/TechTarget
Global AI legislation and regulation tracker
With AI, it's better to be proactive, not reactive. This tracker compiles the major AI legislation, laws and frameworks across the U.S., Europe, Asia and beyond.
Jennifer English • Feb. 18, 2026 -
Brand Experience Team/TechTarget
Best practices for building scalable AI infrastructure
Scalability is vital for AI platforms. These 10 best practices can help businesses build scalable infrastructure that supports AI workloads and adapts to fluctuating demands.
Stephen Bigelow • Feb. 13, 2026 -
Brand Experience Team/TechTarget
How business leaders can prepare for quantum-AI integration
AI completely changed the way we work, and quantum computing has the potential to upend our work completely. How can these technologies integrate to achieve further innovation?
Kerry Doyle • Feb. 12, 2026 -
Brand Experience Team/TechTarget
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.
Donald Farmer • Feb. 9, 2026
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