Evaluate

Evaluate

Weigh the pros and cons of technologies, products and projects you are considering.

• 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. Continue Reading

• Smarter robots: Agentic and physical AI converge in business

  The robotics industry is entering a new era where, thanks to AI, robots learn, optimize and solve the world's most complex supply chain, logistics and labor challenges in real time. Continue Reading

• Is the AI memory shortage stifling enterprise adoption?

  Enterprises bought up computer memory to fuel AI adoption. Now, amid a memory shortage, analysts share insights on what this means for enterprise AI adoption and what's next. Continue Reading

• Is GenAI villain and hero in data center power drama?

  GenAI's infrastructure requirements drive up power demands for hyperscalers and other large data centers, but GenAI, and AI-based automation, could also help manage consumption. Continue Reading

• C-suite shakeup: Demand for chief AI officers accelerates

  GenAI's infiltration into virtually every aspect of business demands the C-suite make room for a CAIO focused on AI development, strategy, implementation, education and governance. Continue Reading

• 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.Continue Reading

• GenAI streamlines enterprise knowledge management process

  Business leaders sharpen insights, speed decisions and boost productivity using GenAI-powered knowledge management systems with their ability to unify and synthesize data.Continue Reading

• Why multimodal AI is reshaping enterprise intelligence

  Multimodal AI can transform industries by combining text, images, video and audio to solve complex problems single-modality systems often can't address.Continue Reading

• How GenAI deployments are redefining everyday work routines

  GenAI deployments are making dramatic strides in boosting employee productivity, strategic analysis, software development cycles and customer service -- but not without risks.Continue Reading

• Is your business ready for an agentic AI team?

  The race is on to implement agentic AI teams. But can your business successfully deploy and manage them before taking this next step in enterprise automation?Continue Reading

• What Nvidia's $78B quarter tells you about enterprise AI

  Nvidia's latest earnings reveal more than impressive revenue figures. They highlight the accelerating adoption of enterprise AI and the growing pressure on infrastructure capacity.Continue Reading

• How businesses can close the AI engineering gap

  Amid growing concerns that AI is replacing jobs in several sectors, demand for AI engineers is surging as businesses employ several methods to overcome a severe skills shortage.Continue Reading

• Battle of the bots: Best GenAI chatbots for business

  Businesses are deploying multiple GenAI tools to support productivity. Success requires choosing the right tools for the right use case and keeping a close eye on the outcomes.Continue Reading

• 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.Continue Reading

• 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.Continue Reading

• The role of AI and humanics in training healthcare professionals

  The integration of AI and humanics in education is shaping the future of healthcare, with an emphasis on empathy, innovation and whole-person care.Continue Reading

• 35 AI content generators to explore in 2026

  Stay abreast of the growing selection of artificially generated media that businesses can use to produce text, images, music and code.Continue Reading

• Optimize AI models to generate more bang for your buck

  AI models must be fully optimized to align with business goals, provide valuable insights and produce positive ROI. Check out these proven, common sense model optimization methods.Continue Reading

• 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.Continue Reading

• AI deployments gone wrong: The fallout and lessons learned

  AI's deployment landscape is littered with good intentions, crushed projects and unintended consequences due to misaligned business goals, mistrust in AI and weak management.Continue Reading

• 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?Continue Reading

• The operational reality of enterprise AI

  AI models are now commodities. It's enterprise challenges like security, scalability and integration are the real barriers to successful deployment.Continue Reading

• 10 AI business use cases that produce measurable ROI

  When justifying their investments in AI deployments, business leaders know keeping up with the Joneses isn't enough without uncovering a positive ROI. Here's where to find it.Continue Reading

• 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.Continue Reading

• Spotlight on AI and emerging tech in 2026

  As we welcome 2026, AI continues to lead the charge in business innovation. Expect to see more about governance, physical AI and integration with emerging technologies.Continue Reading

• AI's business future: What's to come in the next 5 years

  Five years can seem like an eternity in a world where AI's technological advancements occur almost daily, but best to be prepared now and avoid "future shocks."Continue Reading

• The €200B gamble: Will Europe's AI sovereignty vision become reality?

  The EU's AI Continent Action Plan aims to establish a public-private partnership that fosters AI sovereignty via AI infrastructure, homegrown models and innovation.Continue Reading

• Context engineering takes prompting to a higher business level

  In the care and feeding of AI models and chatbot interfaces, prompting alone can be a fool's errand in strategic business planning without the proper context to interpret prompts.Continue Reading

• The dollars and sense of implementing AI

  Calculating ROI of an AI project to prove business value requires a complicated mix of costs, including data prep, infrastructure, integration, staffing, training and power needs.Continue Reading

• 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.Continue Reading

• 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.Continue Reading

• Setting the stage for 2026: Continuing AI pragmatism

  Physical AI adoption, shifts in generative AI dominance and sovereign AI's rise in Europe and India are some predictions for 2026, according to Omdia's Mark Beccue.Continue Reading

• 11 emerging technologies to watch in 2026

  Technology never stands still, and 2026 could see it go full sprint. See our picks for emerging and developing technologies and tell us what tech your organization is watching.Continue Reading

• How generative AI is changing creative work

  As generative AI accelerates concepting and production, creative teams are evolving, requiring new skills, governance models and stronger human insight to guide meaningful work.Continue Reading

• The future of generative AI: 10 trends to follow in 2026

  GenAI's outlook focuses on ROI expectations, power demands, data quality, agentic orchestration, plug-and-play LLMs, ethical practices, stepped-up security and human oversight.Continue Reading

• 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.Continue Reading

• How AI is transforming project management in 2026

  As the project management field increasingly embraces AI-powered software, the benefits can help organizations thrive -- but only if the risks are properly considered too.Continue Reading

• 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.Continue Reading

• 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.Continue Reading

• 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.Continue Reading

• How AI can improve 5G telecommunications for enterprises

  AI is helping make 5G networks more resilient, integrated and easy to implement. That makes private 5G networks for enterprises a clearly superior alternative to Wi-Fi.Continue Reading

• 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?Continue Reading

• 10 AI and machine learning trends to watch in 2026

  AI is reshaping virtually every aspect of business operations. Stay ahead of the curve by exploring these 10 emerging AI trends for 2026.Continue Reading

• The big AI misconception: Most AI apps run on CPUs, not GPUs

  While the industry touts GPUs as the foundation for AI applications, CPUs can still provide the reliable and quick processing that's necessary for most daily AI use cases.Continue Reading

• An instructor's perspective on the use of AI in education

  Should AI be used in educational settings? Hear one technical instructor's thoughts on the complex issue.Continue Reading

• Time to promote AI agents from "assistants to associates"?

  Are our humble AI agents turning into valuable AI associates? Learn about the growth of AI agents from experts at this year's EmTech MIT conference.Continue Reading

• 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.Continue Reading

• 10 real-life examples of AI in the agriculture industry

  From crop monitoring to autonomous machinery, AI is changing the agriculture industry. Hear from farm owners and domain experts on what use cases are having an effect in 2025.Continue Reading

• Agentic AI explained: Key concepts and enterprise use cases

  Agentic AI refers to artificial intelligence systems that are capable of autonomous action and decision-making.Continue Reading

• 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?Continue Reading

• 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?Continue Reading

• AI's effect on jobs not what expected, Yale study finds

  A recent Yale study finds AI is reshaping jobs, automating tasks and boosting demand for analytical and collaborative skills, with overall employment remaining stable.Continue Reading

• 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.Continue Reading

• 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?Continue Reading

• 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.Continue Reading

• How to build your first agentic AI system

  Agentic AI systems can be a value add for many businesses -- but only if they're built properly. Development teams looking to build agentic AI can use this guide to get started.Continue Reading

• Compare AI agents vs. RPA: Key differences and overlap

  Choosing the right automation strategy isn't just about efficiency -- businesses need to consider adaptability and reliability too.Continue Reading

• What is AI orchestration? How it works and why it matters

  AI orchestration manages how models, data, and tools work together, using integration, automation and oversight to support complex systems.Continue Reading

• IBM's enterprise AI vision for customization, collaboration

  IBM focuses on the enterprise by making its WatsonX platform customizable for different cloud environments and applications.Continue Reading

• 5 top RAG tools for 2025

  The landscape of RAG tools and frameworks is constantly evolving, making it easier to combine generative AI services with enterprise data.Continue Reading

• Agentic AI compliance and regulation: What to know

  Agentic AI's autonomous nature and its ability to access multiple data layers bring heightened risk. Learn how to ensure its deployment meets compliance standards.Continue Reading

• AI implementation: 13 steps to achieve success in your business

  AI technologies can enable and support essential business functions. But organizations must have a solid foundation in place to bring value to their business strategy and planning.Continue Reading

• Compare GPUs vs. CPUs for AI and machine learning use cases

  Choosing which AI hardware option makes more sense for an AI or machine learning project depends on multiple factors, including speed, memory and cost.Continue Reading

• AI vs. machine learning vs. deep learning: Key differences

  Artificial intelligence, machine learning and deep learning are terms often used interchangeably, but they aren't the same. Understand the differences and how each is used.Continue Reading

• Integrating IoT and machine learning: Benefits and use cases

  With applications in industries such as manufacturing and healthcare, integrating IoT with machine learning offers a range of unique benefits.Continue Reading

• Claude vs. ChatGPT: How do they compare?

  Compare Anthropic's Claude vs. OpenAI's ChatGPT in terms of features, model options, costs, performance and privacy to decide which generative AI tool better suits your needs.Continue Reading

• Hands-on with QuillBot AI: Review and guide

  Learn how one professional author uses QuillBot AI for writing tasks -- and how it stacks up to other popular options like Grammarly.Continue Reading

• Does AI-generated code violate open source licenses?

  Unresolved questions about how open source licenses apply to AI models trained on public code are forcing users, vendors and open source developers to navigate legal gray areas.Continue Reading

• IBM delivers AI agent orchestration innovations at Think 2025

  IBM's focus on AI agent orchestration, observability, and governance supports enterprise IT departments' need for a tool that spans multiple vendor platforms.Continue Reading

• How AI is changing telemedicine in 2025

  AI is virtually expanding, reshaping and personalizing telehealth practices in triaging, image analysis, patient diagnoses, treatment planning, monitoring and mental health.Continue Reading

• How to use Perplexity AI: Tutorial, pros and cons

  AI-powered search engine Perplexity offers a conversational tone and much-needed source citations -- but it's not perfect. Learn how the tool works and how to start using it.Continue Reading

• 8 business use cases for ChatGPT in 2025

  By the end of 2024, 76% of businesses worldwide were using ChatGPT. The real question is, how are they using it?Continue Reading

• Google Cloud Next 2025: Ambition to lead AI agent ecosystem

  The cloud giant delivered new tools to provide interoperability, enterprise security, powerful reasoning-capable models and low-latency infrastructure for AI.Continue Reading

• Top 4 AI writing tools for improved business efficiency

  AI writing tools target business use cases but aren't sufficient to replace human writers. Explore four popular options for content creation: ChatGPT, Jasper, Rytr and Writer.Continue Reading

• ChatGPT vs. GPT: How are they different?

  Although the terms ChatGPT and GPT are both used to talk about generative pre-trained transformers, there are significant technical differences to consider.Continue Reading

• When to use prompt engineering vs. fine-tuning

  Understanding the pros and cons of each method can help your organization get more out of its generative AI systems.Continue Reading

• Advantages and disadvantages of AI explained

  Is AI good or bad? AI will benefit society, according to experts, but only with the correct guidelines in place and a solid understanding of what AI systems can and cannot do.Continue Reading

• AI existential risk: Is AI a threat to humanity?

  What should enterprises make of the recent warnings about AI's threat to humanity? AI experts and ethicists offer opinions and practical advice for managing AI risk.Continue Reading

• Can AI write code? A developer experiments in two languages

  AI tools are becoming a realistic option to help with coding tasks. This developer put his own coding abilities to the test.Continue Reading

• Does using DeepSeek create security risks?

  The Chinese AI chatbot, despite its efficiency and customizability, raises serious concerns about data privacy, censorship and security vulnerabilities for business users.Continue Reading

• Explore real-world use cases for multimodal generative AI

  Multimodal generative AI can integrate and interpret multiple data types within a single model, offering enterprises a new way to improve everyday business processes.Continue Reading

• Compare Google Vertex AI vs. Amazon SageMaker vs. Azure ML

  What should your organization consider when choosing a platform for machine learning development and deployment?Continue Reading

• What is GenAI? Generative AI explained

  Generative artificial intelligence, or GenAI, uses sophisticated algorithms to organize large, complex data sets into meaningful clusters of information in order to create new content, including text, images and audio, in response to a query or ...Continue Reading

• Why small language models are on the rise

  Small language models challenge the 'bigger is better' AI myth -- but can they fully replace their larger counterparts?Continue Reading

• GANs vs. VAEs: What is the best generative AI approach?

  The use of generative AI is taking off across industries. Two popular approaches are GANs, which are used to generate multimedia, and VAEs, used more for signal analysis.Continue Reading

• Generative AI ethics: 11 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.Continue Reading

• 12 top resources to build an ethical AI framework

  Examine the standards, tools and techniques available to help navigate the nuances and complexities in establishing a generative AI ethics framework that supports responsible AI.Continue Reading

• Gemini vs. ChatGPT: What's the difference?

  ChatGPT took the early lead among AI-generated chatbots before Google answered with Gemini. While ChatGPT and Gemini perform similar tasks, there are differences.Continue Reading

• The top AIOps tools and platforms to consider in 2025

  As AIOps approaches become more common among IT teams, the AIOps tools and platforms market has expanded. Compare leading options to decide which fits your needs.Continue Reading

• Small language models are taking the spotlight

  An industry analyst shares his perspective on why larger models aren't always better for enterprises.Continue Reading

• Compare Semantic Kernel vs. LangChain for AI development

  Building a new application with generative AI? Compare two popular frameworks to decide which is best for your project.Continue Reading

• Compare generative AI vs. LLMs: Differences and use cases

  While large language models like ChatGPT grab headlines, the generative AI landscape is far more diverse, spanning models that are changing how we create images, audio and video.Continue Reading

• GPT-3.5 vs. GPT-4: Biggest differences to consider

  GPT-3.5 or GPT-4? With multiple OpenAI language models to choose from, picking the right option for your organization's needs comes down to the details.Continue Reading

• The advantages and disadvantages of AI in cybersecurity

  To meet growing cybersecurity needs, many organizations are turning to AI. However, without the right strategies in place, AI can introduce risks alongside its benefits.Continue Reading

• GPT-4o vs. GPT-4: How do they compare?

  OpenAI's GPT-4o promises improved multimodal capabilities and increased efficiency. Explore the differences between GPT-4o and its predecessor, GPT-4.Continue Reading

• GAN vs. transformer models: Comparing architectures and uses

  Discover the differences between generative adversarial networks and transformers, plus how the two techniques might combine in the future to provide users with better results.Continue Reading

• The critical role of data in building an AI agent

  Data quality, modern tooling and AI governance are key to building successful AI agents that meet user expectations, writes industry analyst Stephen Catanzano.Continue Reading

• 20 real-world GenAI applications across leading industries

  Generative AI is predicted to add up to $16 trillion to the global economy by 2030. Learn how 20 industries, from finance and legal to healthcare and manufacturing, are using it.Continue Reading

• The best AI chatbots for 2025: Compare features and costs

  Today's AI chatbots are smarter, faster and more versatile than ever. See how top platforms like ChatGPT, Claude and Copilot stack up in this hands-on comparison.Continue Reading

• How has generative AI affected cybersecurity?

  Generative AI helps security teams defend against threats, but it also lets bad actors infiltrate organizations. Learn about how each side is tapping into GenAI to gain an edge.Continue Reading