Expert Advice
Practical guidance from industry experts on AI
-
Brand Experience Team/TechTarget
Who should claim AI leadership in the enterprise?
As AI becomes integral to business operations, the question of who's in charge will become harder to answer. Read on for guidance on where AI leadership lies.
Kashyap Kompella • Oct. 22, 2026 -
Brand Experience Team/TechTarget
Agents on the desktop: Claude Cowork and its equivalents
Desktop agents offer possibilities to improve almost every business, but users must understand the benefits and drawbacks of these tools to select the right one.
Donald Farmer • Oct. 22, 2026 -
Brand Experience Team/TechTarget
Cost per task: A new method for AI spend management
Rather than relying on traditional metrics such as per-seat or per-token pricing, some businesses are measuring AI cost per successful task to manage their AI spending.
Donald Farmer • Oct. 16, 2026 -
Brand Experience Team/TechTarget
Secure your agentic AI with identity management
AI agents are an invisible workforce that ushers in a new generation of vulnerabilities and threats. Enforce strict identity management to secure these agents.
Donald Farmer • Oct. 13, 2026 -
Brand Experience Team/TechTarget
On-premises vs. edge AI implementations for AI inference
AI inference can run on-premises for high-volume tasks or at the edge for real-time decisions. Business leaders must weigh the tradeoffs of each method to choose the right fit.
Stephen Bigelow • Oct. 13, 2026 -
Brand Experience Team/TechTarget
Consolidated vs. best-of-breed AI strategies: A C-suite guide
Deciding to buy AI is only the first step in procurement. Next, leaders must evaluate whether to go with a single vendor or specialize AI tools for different parts of the stack.
Chris Tozzi • Oct. 8, 2026 -
Brand Experience Team/TechTarget
What competitive edge do AI-native companies have?
While AI has emerged as a powerful enterprise tool, many businesses struggle to integrate AI to its fullest potential. These lessons from AI-native companies can help.
Stephen Bigelow • Oct. 7, 2026 -
Brand Experience Team/TechTarget
The risks of AI overreliance in software engineering
It's unquestionable whether generative AI provides productivity gains for software engineers. But developer overreliance on AI comes with its share of risks.
Kashyap Kompella • Oct. 5, 2026 -
Brand Experience Team/TechTarget
Code sources and model weights for AI: Know their differences
Open source, open-weight and proprietary AI models are making headlines. Know where they differ in cost, complexity, convenience and availability when making the optimal choice.
Stephen Bigelow • Sept. 29, 2026 -
Brand Experience Team/TechTarget
Robotics needs real-time edge AI: Why and where
AI provides robotics the edge they need in dynamic environments ranging from manufacturing to healthcare, where fast response times and real-time decision making are critical.
Stephen Bigelow • Sept. 24, 2026 -
Brand Experience Team/TechTarget
Prompt engineering and other tips to prevent AI sycophancy
AI sycophancy can reinforce biases and lead to poor business outcomes. But what are the signs that AI has become sycophantic, and are there techniques to avoid it?
Stephen Bigelow • Sept. 15, 2026 -
Brand Experience Team/TechTarget
Physical AI deployment challenges and how to address them
Physical AI can conjure up unique but solvable issues surrounding unpredictability, data quality, safety and cost overruns. Avoid business disruptions with these best practices.
Stephen Bigelow • Sept. 11, 2026 -
Brand Experience Team/TechTarget
Key guardrails to defend against rogue AI agents
AI agents go rogue for many reasons. Businesses must establish defense mechanisms and guardrails that counter the potential damage from an agent's rogue actions.
Nihad Hassan • Sept. 11, 2026 -
Brand Experience Team/TechTarget
AI cloud migration: Key steps to success
Migrating AI to the cloud demands strategic planning, system assessments, component modernization, data pipeline optimization and phased deployment. Find out what you need to know.
Stephen Bigelow • Sept. 8, 2026 -
Brand Experience Team/TechTarget
Planning AI infrastructure upgrades: Four steps for success
AI infrastructure upgrades require proactive planning. Steps include setting business goals, assessing existing infrastructure, and optimizing hardware, security and governance.
Stephen Bigelow • Sept. 8, 2026 -
Brand Experience Team/TechTarget
Making space for spatial computing
Construct spatial computing programs through evidence, not hype. Use this roadmap to ensure that workflow selection is the starting point, not device selection.
Damon Garn • Sept. 2, 2026 -
Brand Experience Team/TechTarget
AI cybersecurity vs. AI cyberattacks: Who’s winning?
To stay ahead in the AI vs. AI cybersecurity race, businesses must incorporate the technology into detection, investigation, vulnerability management and response.
Nihad Hassan • Sept. 1, 2026 -
Brand Experience Team/TechTarget
A guide to AI chip architectures
The diversity of today's AI processors can make their purpose, benefits and limitations confusing. This roundup can help businesses match their AI tasks to the right chip.
Stephen Bigelow • Sept. 1, 2026 -
Spencer Platt via Getty Images
Embodied AI vs. physical AI: Why their differences matter
When integrating physical AI into the workplace, successful planning and deployment depend on knowing robotics is more than an array of technologies embodied in a mechanical form.
Stephen Bigelow • Aug. 27, 2026 -
Brand Experience Team/TechTarget
AI sycophancy: When leaders are told what they want to hear
Agreeable AI can reinforce executives' bias in strategic, personnel and investment decisions. Leaders must build decision processes that resist AI sycophancy.
Kashyap Kompella • Aug. 19, 2026 -
Brand Experience Team/TechTarget
Why businesses need an AI agent kill switch
Executives must understand the importance of AI safety to prevent reputational, financial and operational damage. Here's why an AI kill switch is the safety measure they need.
Stephen Bigelow • Aug. 19, 2026 -
Brand Experience Team/TechTarget
AI agent harnesses: The infrastructure behind autonomy
Harnesses are the scaffolding that turn a language model into a powerful, reliable agent capable of accurate autonomous action.
Stephen Bigelow • Aug. 14, 2026 -
Brand Experience Team/TechTarget
Essential metrics for AI hardware management
AI infrastructure requires monitoring compute, network, storage and business metrics to optimize performance, prevent bottlenecks and manage costs.
Stephen Bigelow • July 31, 2026 -
Brand Experience Team/TechTarget
The best AI governance tools and platforms in 2026
AI governance has become a boardroom priority. These tools and platforms can help leaders fulfill AI governance mandates.
Kashyap Kompella • July 28, 2026 -
Brand Experience Team/TechTarget
The quantum technologies that will transform enterprise IT
As quantum capabilities progress toward commercial viability, business leaders need to understand the quantum technologies that will be at their disposal.
Kerry Doyle • July 28, 2026
