Expert Advice: Page

Practical guidance from industry experts on AI


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    Top AI KPIs that business leaders need to know

    AI-specific KPIs can indicate model performance, customer satisfaction and overall business value. Explore these 25 AI KPIs to elevate the management of any AI initiative.

    Stephen Bigelow • Feb. 4, 2026
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    What to know about synthetic data as a business advantage

    Synthetic data mimics real data without sensitive information. It offers cost-effective options and competitive advantages for AI training, software testing and data monetization.

    Stephen Bigelow • Jan. 31, 2026
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    7 best practices for leading and managing agentic teams

    Agentic AI teams are an evolution in professional partnerships. Business leaders can ensure agents succeed with clear objectives, strong governance and disciplined management.

    Kashyap Kompella • Jan. 29, 2026
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    Turn your AI center of excellence from sidelines to impact

    AI CoEs face a challenging mission -- aligning AI investments with business strategy across multiple functions -- and many obstacles complicate their ability to deliver value.

    Chris Tozzi • Jan. 28, 2026
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    Humanoid robots: The next frontier in physical AI

    Once seen as merely science fiction, humanoid robots are becoming increasingly tangible due to advancements in AI and other technologies.

    Stephen Bigelow • Jan. 20, 2026
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    Why business leaders must explore post-quantum pre-quantum

    With the continual advance of quantum technology comes threats to traditional cryptographic standards. Discover how to prepare for PQC pre-quantum.

    Nihad Hassan • Jan. 16, 2026
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    AI governance can make or break data monetization

    As pressures mount for businesses to get the most value from their data, AI governance ensures the data to be monetized is secure, protected, trustworthy and used responsibly.

    Stephen Bigelow • Jan. 15, 2026
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    Optimizing hybrid cloud architecture for AI workloads

    Hybrid cloud architecture can help with the unique scalability, hardware and governance needs of AI workloads. But is it the right choice for your business?

    Chris Tozzi • Jan. 13, 2026
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    4 types of machine learning models explained

    Rigorous experimentation is key to building machine learning models. Learn about the main types of ML models and the factors that go into picking and training them for a specific task.

    Stephen Bigelow • Jan. 13, 2026
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    How to prepare your business for agentic AI adoption

    Agentic AI adoption can go awry without a clear plan in place. Use this guide to ensure AI agents are deployed correctly and optimized for successful business outcomes.

    Chris Tozzi • Jan. 8, 2026
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    How to build an AI-augmented workforce: The CIO’s guide

    An AI-augmented workforce pairs humans with AI to boost performance. Learn ways to build it, review examples, know the challenges and explore future trends shaping enterprise roles.

    Kinza Yasar • Jan. 6, 2026
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    10 AI topics for 2026 that enterprise leaders need to know

    Use these trending AI topics to inform your organization's strategy for 2026 and position it for future success.

    Damon Garn • Jan. 5, 2026
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    9 top generative AI tool categories for 2026

    Agentic systems and AI data centers are driving forces shaping the development of GenAI tools and frameworks to build LLMs, orchestrate processes and integrate physical AI.

    George Lawton • Jan. 5, 2026
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    Integrate and modernize legacy systems with AI

    Complete replacement of, or over-reliance on, legacy systems can be disastrous. Organizations that modernize gradually will thrive in markets where AI is vital.

    Donald Farmer • Dec. 16, 2025
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    Microsoft Copilot vs. Google Gemini: How do they compare?

    Microsoft Copilot and Google Gemini are frontrunners in the generative AI productivity tools space. Compare how they differ in terms of key features, capabilities and pricing.

    Marius Sandbu • Dec. 12, 2025
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    Evaluate 10 AI chatbots for business use cases

    Businesses are bypassing out-of-the-box AI for custom chatbots tailored to their complex needs. Explore these 10 AI chatbot platforms for building business-ready assistants.

    Kashyap Kompella • Dec. 3, 2025
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    Meet quantum needs with hybrid digital infrastructure

    The potential for quantum computing remains unparalleled. Does your organization understand the demands quantum computing will have on digital infrastructure?

    Kerry Doyle • Nov. 25, 2025
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    Generative models: VAEs, GANs, diffusion, transformers, NeRFs

    From powering conversational chatbots to realistic image creators, generative models are critical for many AI applications.

    Chris Tozzi • Nov. 19, 2025
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    Top 4 AI chatbot privacy concerns and how to mitigate them

    Do you know how your AI chatbot is storing your data, and who they are sharing it with? Discover mitigation strategies to prevent your chatbots from revealing sensitive data.

    Nihad Hassan • Nov. 13, 2025
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    Low-code/no-code tools simplify AI customization for engineers

    Low-code/no-code AI platforms bridge the gap between AI coding demand and developer availability. They speed development, cut costs and let nontechnical users build AI apps.

    Stephen Bigelow • Oct. 31, 2025
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    How open source AI models benefit developer innovation

    Discover why most businesses rely upon the benefits of open source AI models. Could open source provide companies with the resources they need to succeed?

    Stephen Bigelow • Oct. 24, 2025
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    How ReAct agents can transform the enterprise

    Humans solve complex problems with reasoning and actionable steps. Now, agentic AI can do the same. Are ReAct agents the future of enterprise problem-solving?

    Everett Bishop, Stephen Bigelow • Oct. 22, 2025
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    Agentic AI architecture: An enterprise guide

    Agentic architectures can work independently to automate and orchestrate complex tasks in manufacturing, retail operations and supply chains but they present several challenges.

    Stephen Bigelow • Oct. 9, 2025
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    How agentic RAG supports effective business workflows

    AI agents can complete business tasks with little to no human intervention. What if they could access domain-specific knowledge when completing those tasks?

    Marius Sandbu • Oct. 8, 2025
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    What is AI agent memory? Types, tradeoffs and implementation

    AI agents with short- and long-term memory leapfrog simple task-oriented assignments into areas of autonomy, pattern recognition, personalization and strategic business planning.

    Stephen Bigelow • Oct. 3, 2025