Features

Features

• EmTech Future 2026: Quantum sensing is here, more to come

  Quantum technology feels like it's just within our reach. Advancements in quantum sensing show that we're much closer than we might think. But there's still progress to be made.  Continue Reading

• Human augmentation is closer than we think, experts say

  Researchers at EmTech Future shared current progress in robotics and human augmentation, as well as their vision for human-AI symbiosis and the growing potential of humanity.  Continue Reading

• Physical AI security threats and how to mitigate them

  Malicious prompt injections, sensor manipulation, hardware tampering and vulnerable software take on greater urgency when robotic systems interact with humans and the real world.  Continue Reading

• Physical AI in business gets smarter and more autonomous

  Leaping from the computer screen into dynamic real-world environments, physical AI and embodied robotics take on increasingly more complex and dangerous tasks.  Continue Reading

• Salesloft targets token effectiveness to measure AI's value

  Some businesses riding the AI wave have high costs with little understanding of ROI. To bridge the gap, Salesloft is looking at token effectiveness metrics.  Continue Reading

• Supply chain AI agents: Where should autonomy begin and end?

  AI agents can scan emails, audit invoices, flag billing issues, develop transactional data and negotiate contracts along the supply chain -- but they can't execute the deal (yet).  Continue Reading

• AI could forever change the human psyche, experts say

  Generative AI takes on more tasks while asking less of us and agreeing more often, a combination that's weakening our judgment, debugging skills and ability to work independently.  Continue Reading

• Nuclear renaissance is hyperscaler PR hype, experts agree

  Nuclear power promises carbon-free, round-the-clock energy for critical infrastructure and now perhaps data centers. The problem? We've heard talk of a nuclear renaissance before.  Continue Reading

• AI extinction talk: IT leaders weigh in

  Security and IT leaders say the AI extinction headlines are reshaping the conversation more than the controls.  Continue Reading

• The automated workforce: Physical AI's labor impact

  Humanoid robots, autonomous vehicles and other machines will augment some jobs, replace others and create new roles. Emerging use cases include logistics and worker safety.  Continue Reading

• Can Nvidia's physical AI strategy replicate its AI dominance?

  Nvidia is building a broad physical AI ecosystem across training, simulation and deployment, but in a fragmented market, the chipmaker will need to coexist before it can dominate.  Continue Reading

• AI extinction: What IT leaders need to know -- and do -- now

  AI extinction concerns are growing among experts, but for enterprises, the focus should be on governance, accountability and risk management to prevent operational failures.  Continue Reading

• Colossus data center buildouts: Can they ever be duplicated?

  SpaceX's fast pace, energy capacity and crafty permitting in building the Colossus 1 and 2 data centers provide some worthy lessons that can be emulated -- and others that can't.  Continue Reading

• What it finally takes to make quantum commercially viable

  Turns out quantum computing still has several missing links on the road to commercial viability, including better fault tolerance, lower error rates and more qubits per system.  Continue Reading

• Key enterprise strategies for AI agent observability

  Monitoring AI agents encompasses three pillars: agent intent, method and outcome. Explore all three, along with best practices for AI agent observability.  Continue Reading

• To justify physical AI costs, choose high-value use cases

  Physical AI is starting to drive business value in industries like manufacturing and healthcare. But the ROI calculus is subtle and calls for a wide-angle view of metrics.  Continue Reading

• What businesses really need from an AI off switch

  Turning off an AI feature doesn't necessarily stop AI processing. Businesses need meaningful controls over AI features, data access, third parties and software updates.  Continue Reading

• Using AI for revenue growth is elusive but possible, experts say

  Shifting AI's ROI from productivity gains to financial revenue is tricky. Some firms, like TD Bank Group, are leading the way.  Continue Reading

• Ethical AI surveillance balances oversight and transparency

  AI-powered employee surveillance gives employers new visibility into workers while raising concerns about privacy, bias and trust. Learn how enterprises can deploy it responsibly.  Continue Reading

• Power-hungry AI data centers weigh viable energy sources

  AI data centers are encountering political resistance in some communities, but they'll be built elsewhere. Survival depends on the power sources chosen and their availability.  Continue Reading

• The hybrid future of enterprise AI sovereignty

  With increasingly defined regulations to comply with and political tensions growing, business leaders are adopting AI sovereignty practices to weather the storm.  Continue Reading

• Kimi K3, Chinese open-weight models challenge AI status quo

  Kimi K3 highlights the growing divide between open-weight and proprietary AI models. Explore how to weigh control, cost and governance before adopting open-weight models.  Continue Reading

• Physical AI, robotics revive lagging U.S. shipbuilding

  Physical AI and robotics speed shipyard operations, improve production planning, increase shipbuilding volume and automate labor-intensive tasks like welding and surface prep.  Continue Reading

• How Google's AI search could revamp business strategy

  As Google's AI search reshapes how users find and evaluate brands, enterprises need new strategies for visibility, authority and direct customer relationships.  Continue Reading

• Questions to ask when evaluating AI-ready data center providers

  AI growth exposes data centers to power limits, cooling issues, water scarcity and regulatory pressure. Explore the key questions to raise with vendors.  Continue Reading

• When orbital AI data centers become business reality

  Shrinking launch costs, hyperscaler validation, serviceable hardware, manageable insurance risks and earthly energy constraints will thrust data centers into orbit and beyond.  Continue Reading

• Businesses have AI tools. Why aren't employees using them?

  As enterprise AI deployments accelerate, businesses find workflow redesign, change management and employee trust, not just the tools, determine adoption success.  Continue Reading

• AI and robotics yield bumper crops down on the farm

  Autonomous tractors roam the fields 24/7, while AI, computer vision and machine learning harvest fruits, increase milk production, limit pesticides and boost crop yields.  Continue Reading

• AI in law offices: How it's being used and the risks

  Document discovery, court motions, patent protection, focus groups and client calls are tasks where AI saves law firms significant time and costs, while keeping humans in the loop.  Continue Reading

• The rise of the AI forward-deployed engineer

  The bottleneck in enterprise AI has shifted from model access to deployment. Vendors are responding by embedding engineering teams directly inside customer environments.  Continue Reading

• Q&A: Generate Biomedicines CTO talks AI advancements

  Generate Biomedicines has been AI-native since its founding in 2018. Hear from co-founder and CTO Gevorg Grigoryan about how the biotech company uses AI to its advantage.  Continue Reading

• Controlling AI models is harder than building them

  Before companies safely grant autonomy to AI agents deployed in their business processes, they must first establish an infrastructure of governance, accountability and control.  Continue Reading

• AI is supposed to cut lots of jobs? Not so fast

  Workers have long feared AI will one day displace them. But emerging evidence suggests otherwise: AI might preserve jobs, even as it reshapes roles and skill requirements.  Continue Reading

• 25 women pioneers who shaped AI's evolution

  From the very first algorithm in the 1840s to World War II's ENIAC to current Mythos headlines, women can stake claim to some of the most notable advancements in AI's history.  Continue Reading

• 12 top machine learning use cases and business applications

  Machine learning applications in the era of GenAI and AI agents are increasing the efficiency and accuracy of everything from decision-making to maintenance to service delivery.  Continue Reading

• Autonomous warehouse drones streamline inventory control

  Autonomous indoor AI drones join the workforce, moving about factories and warehouses to track inventory, identify missing products and predict equipment maintenance.  Continue Reading

• Humanoid robots not quite ready for primetime

  Don't be fooled by a robot's impressive display of movement and dexterity during onstage demos in controlled environments. Humanoid exploits in the real world can disappoint.  Continue Reading

• Futurists predict what's next for AI and emerging technology

  The clock is ticking for businesses to start researching and investing in a range of emerging technologies. Experts weigh in on the tech they think will shape the future.  Continue Reading

• Is AI replacing jobs? How 17 job types feel the effects

  AI has threatened various jobs since ChatGPT came out. New data shows where the threat is real and where it's imagined.  Continue Reading

• 10 top AI knowledge management platforms for businesses

  AI knowledge platforms use search and GenAI to surface and monetize enterprise information, but comparisons show wide variance in capabilities, integration, governance and scale.  Continue Reading

• Agentic governance must go beyond traditional IT practice

  Industry experts agree: Agentic AI requires new governance methods, not traditional IT playbooks. The current agentic governance gap threatens to derail enterprise AI adoption.  Continue Reading

• How to choose the right IKMS in a fast-moving AI market

  Poor platform selection is a leading cause of failed knowledge management system deployments. Product demos don't tell nearly enough. Five key factors can determine IKMS success.  Continue Reading

• Dell exec: Balance safety and speed with agentic AI ethics

  At this year's Dell Technologies World conference, Dell executive John Roese shared his thoughts on agentic AI and how its ethics can be compatible with timely innovation.  Continue Reading

• Artificial general intelligence: So close yet so far?

  Before signing off on their AI strategies, businesses should weigh the anticipated arrival and potential impact of artificial general and super intelligence on future operations.  Continue Reading

• Educating the future AI-savvy human workforce

  As the need for skilled AI workers approaches desperation levels for many businesses, unique and more personalized teaching methods are preparing tomorrow's AI workers.  Continue Reading

• AI drones undertake high-risk jobs along the supply chain

  From power line and bridge inspections to remote and heavy cargo deliveries, autonomous AI drones are becoming the supply chain's version of air traffic controllers.  Continue Reading

• Can quantum-inspired algorithms help you now?

  Quantum-inspired algorithms mimic quantum computing principles on classical hardware. Experts share how businesses can benefit from this innovative technology.  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

• GenAI and synthetic data: What can go wrong in business?

  GenAI's ability to improve everything it touches, including synthetic data, is undeniable, but when misused, simulated data can amplify bias, taint data and compromise security.  Continue Reading

• Communities call for transparency in AI data center deals

  Your company might not be building an AI data center, but your AI workloads likely run in them. Here's what you need to know about the land-use war around data center development.  Continue Reading

• Is the AI bubble about to burst, or is it recalibrating?

  Massive investment is flowing into AI, but rising costs and inconsistent returns are testing whether the boom is sustainable and can deliver long-term business value.  Continue Reading

• Businesses gear up for AI agents in the enterprise

  AI agents might be going mainstream and coming to a desk near you -- so say speakers at EmTech AI this week, where attendees were also treated to viewing their digital twins.  Continue Reading

• Build an ethical AI framework: 12 top resources

  IEEE Global Initiative, World Economic Forum and Stanford Institute are among the best resources available to businesses building a viable ethical AI foundation for responsible AI.  Continue Reading

• 8 trends powering machine learning's dynamic new roles

  Machine learning is evolving rapidly, driving trends like smaller models, edge computing, generative AI convergence, governance and ML health monitoring.  Continue Reading

• Q&A: MIT's top 10 AI trends to watch this year

  MIT Technology Review's Amy Nordrum and Niall Firth unpack what trends to watch in AI, from LLMs+ and the China-spurred open source AI boom to weaponized deepfakes and AI malaise.  Continue Reading

• Democratizing AI in business: The good, bad and ugly

  AI democratization planned and introduced correctly can profoundly increase AI's business value -- but inadequate AI tools and poor workforce training can bring it all down.  Continue Reading

• How to start a career in AI: Advice from experts

  AI careers don't follow one path. As AI becomes part of everyday work, more professionals are entering the field by building on what they already do and focusing on real results.  Continue Reading

• Business vs. provider: AI software restrictions to know

  How much control do businesses have over the use of AI platforms they buy? Vendor acceptable use contracts and policies can determine an AI deployment's success or failure.  Continue Reading

• GenAI in accounting: Chat BDO's ride from pilot to production

  Accounting and advisory firm BDO built and deployed a proprietary AI platform so its tax and audit pros could automate routine tasks and significantly increase client-facing time.  Continue Reading

• GenAI data center infrastructure reshapes business processes

  Building and retrofitting data centers to support GenAI is not a matter of IF but WHEN, so the game plan must include power needs, grid connectivity, model training and permitting.  Continue Reading

• GenAI in product manufacturing cuts costs but adds risks

  In product design and manufacturing, GenAI systems are consolidating supplier data, improving processes and cutting significant software costs -- yet they raise unique concerns.  Continue Reading

• Overcome roadblocks to GenAI adoption and unlock ROI

  GenAI deployments can fall prey to unrealistic goals, misguided pilots, job loss fears, hidden costs and lack of trust. Governance and workforce readiness are keys to success.  Continue Reading

• Open source AI: What it means for enterprise innovation

  Open source AI is transforming enterprise innovation with greater flexibility and control, but organizations must address governance, security and operational challenges to scale effectively.  Continue Reading

• FinOps can manage AI computing costs, experts say

  FinOps is no longer just about optimizing cloud spending. Hear from experts on what makes FinOps a desirable option to help businesses manage their AI costs.  Continue Reading

• AI ethical red flags businesses must avoid

  AI tools are everywhere in businesses, but are ethical best practices keeping pace? Here are the ethical AI red flags business leaders are seeing, and how to avoid them.  Continue Reading

• Businesses face complex cost-cutting options with GenAI

  Some GenAI cost saving candidates might disappoint. The best approach to cost reductions vary according to the business function and an enterprise's strategic business priorities.  Continue Reading

• GenAI is ready for more autonomy, but supply chains are not

  Disruptions, vulnerabilities, late deliveries and customer interactions are among the supply chain concerns that GenAI could address autonomously -- if businesses can trust it.  Continue Reading

• GenAI's role in a return trek to the moon and beyond

  NASA's use of GenAI models in the Artemis space program and communication with Mars rovers provides valuable business lessons in governance and keeping humans in the loop.  Continue Reading

• Experts predict quantum utility by 2033

  Quantum computing is no longer science fiction. Experts at Nvidia GTC 2026 think quantum utility is possible by 2033, but not without challenges.  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

• AI-ready data needs its own set of rules, experts say

  At Gartner's 2026 Data and Analytics Summit, AI-ready data was top of mind. Explore these best practices from experts on achieving data readiness for AI systems.  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

• Q&A: Prioritize AI adoption while safeguarding human skills

  In this Q&A, Gartner analyst Arun Chandrasekaran unpacks some of generative AI's invisible undercurrents and what to do about them.  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

• 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

• From security to trust: How AI is transforming the CISO's job

  Modern security officers must manage AI risks, safeguard enterprise data and ensure AI systems operate securely, expanding their role beyond traditional cybersecurity.  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

• The AI bias playbook: Mitigation strategies for CIOs

  From prioritizing data management to having a governance-first mindset, the C-suite can use the AI bias mitigation strategies in this playbook to limit AI bias risk.  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

• 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 watermarking AI content benefits businesses

  AI watermarking is being used to identify deepfakes, enhance transparency and build trust in AI-generated content, but reliability issues and false positives present challenges.  Continue Reading

• 5 skills needed to become a prompt engineer

  With the rise of generative AI, prompt engineering has emerged as a new profession. Desired skills include refining prompts, analyzing AI output and ensuring alignment with business goals.  Continue Reading

• How to ensure AI transparency, explainability and trust

  Transparency, explainability and trust are critical for enterprise AI. Learn how organizations can embed these principles to build accountable, ethical and reliable systems.  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

• 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

• Leading AI with ethics: The new governance mandate

  Ethical AI governance is now a boardroom priority, enabling organizations to curb bias, ensure accountability and build trust as a strategic advantage.  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

• Humans and AI: The role of people in the new AI world

  With AI now poised to be a capable teammate rather than a mere tool, businesses are struggling to identify where and to what extent human-AI collaboration makes sense.  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

• Regression in machine learning: A crash course for engineers

  Regression in machine learning helps organizations forecast and make better decisions by revealing the relationships between variables. Learn how it's applied across industries.  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

• AI regulation: What businesses need to know in 2026

  Numerous local, regional and national AI regulations can help businesses govern AI, foster innovation and mitigate potential risks -- as long as their differences are understood.  Continue Reading