温馨提示：本站仅提供公开网络链接索引服务，不存储、不篡改任何第三方内容，所有内容版权归原作者所有
AI智能索引来源：http://www.ibm.com/blog/functions-2026
点击访问原文链接

Think | IBM

进入原网站 导航首页
HomeCloud - Automation - IBM Concert Observability In The Agentic Era Nick Gallagher, Michael GoodwinAI attacks Defending against AI driven threats Sanjot Singh HoraAI infrastructure The context gap: Why AI systems fail in the real world Ray BeharryAgentic AI The next era of claims operations: From automation to autonomy Glenn Mommens, Pankaj SavkarArtificial intelligence The context gap: Why AI systems fail in the real world Why AI systems fail to scale effectively—and why the missing piece is not better models but the ability to operate within an enterprise context. Ray BeharryQuantum computing The IBM scientist who rewrote the rules of information just won computing’s highest prize Sascha BrodskyRegister now for Think 2026Artificial intelligenceAI agentsCloudSecurityAnalyticsMixture of ExpertsPrompt engineeringAI agentsAI AcademyBusiness automationDiscover more in artificial intelligenceNews Anthropic’s most powerful AI raises the stakes for cybersecurity Mythos, part of Project Glasswing, can chain vulnerabilities and analyze compiled code. Keep ReadingNews Before the algorithm, there was the sonnet Sascha BrodskyInsight Accelerate the customer onboarding process with AI Matthew Finio, Amanda DownieInsight Navigating 9 generative AI challenges Cole StrykerNews The identity problem for agentic AI security Aili McConnonInsight Data delivery delays are slowing decisions more than you think Chandni SinhaNews World models are coming for enterprise AI Sascha BrodskyNews The financial world brings agentic AI to blockchain Euny HongInsight ITOps hits a turning point with agentic AI A new study offers a detailed look into which AI initiatives ITOps team prioritize, and what’s driving adoption.Webinar Agentic AI for supply chain: what delivers, what distracts Learn where agentic AI is already delivering value, where the technology is still evolving, and how to prioritize investments.Insight Building and evaluating AI agents that work in the real world The future of automation is a deliberate balance of agentic and deterministic approaches.Explainer What is agentic coding? Not only can AI agents write code, they can also improve the code quality and optimize the software development cycle.Podcast AI agent adoption, from scientists to CFOs The Mixture of Experts panel discusses scientists' Claude Code use, and how Adobe’s CFO turned his finance team into an AI lab.Guide The 2026 guide to AI agents A comprehensive resource with explainers and hands-on tutorialsNews You can build an AI agent in minutes. Now what? As AI goes agentic, security and observability become mission-critical.News OpenClaw, Moltbook and the future of AI agents “It is very personal, it’s very easy, and you can get both very practical and very silly with it.”News How one IBM architect actually uses AI coding tools day to day Gabe Goodhart codes three projects at once—but he won’t let AI touch his version control. Here’s his process.Insight Agentic data management: The next evolution of enterprise data ecosystems Through the decision-making capabilities of AI-powered agents, enterprises are beginning to reinvent how they process, govern and use their data.Podcast How infrastructure is powering the age of AI Learn how hardware capability enables the matrix math required to run LLMs, and hear creative examples of how to put AI to work.Report How mainframes are rewriting the AI playbook With the majority of enterprise data residing on them, mainframes are a perfect fit for integrated AI.Explainer What is an AI stack? Learn how an AI stack provides a structure for building AI solutions.AI Academy Achieving AI-readiness with hybrid cloud An intentional hybrid cloud approach can help your business improve operational agility and scalability.Webinar Maximizing AI yield in the token economy As power limits and GPU scarcity reshape the AI landscape, leading organizations are shifting from deployment to optimization.Insight Businesses investing in AI infrastructure need to push to the finish line If succeeding with AI means redirecting your enterprise infrastructure, will the gains outweigh the costs?Insight 7 ways to optimize infrastructure for AI workloads The success of AI initiatives heavily depends on the underlying infrastructure’s ability to support demanding workloads efficiently.Insight How to modernize integration architecture for AI readiness Remove the friction that keeps data, workflows and intelligence from moving at the speed the business requires.Explainer Edge AI versus cloud AI: What’s the difference? Learn how these two deployment types differ in running AI models and where they store and process data.Ebook Maximize the value of hybrid cloud in the generative AI era Making intentional architecture decisions is key to amplifying the value of hybrid cloud and AI.Insight Cyberthreats in 2026: X-Force and industry experts weigh in "Attackers simply do not need zero-days, they just need valid credentials and a little bit of patience."News The biggest data trends for 2026 An IBM expert sees a few big shifts reshaping the data stack all at once.News AI and quantum trends in 2026 17 experts predict the year ahead.Report 5 business and technology trends executives should watch in 2026 IBM asked more than 1,000 C-suite executives how economic, geopolitical and technological factors would influence their decision-making in 2026.Insight Observability trends for 2026 In 2026, AI adoption will force organizations to make their observability strategies more intelligent, cost-effective and compatible with open standards.Podcast AI trends shaping 2026 The Mixture of Experts panelists recap 2025 and predict 2026.Insight 2026 goals for AI and technology leaders 2026 is an inflection point for enterprise AI: the agentic pivot.News Cybersecurity trends in 2026 New risks from autonomous AI and AI-assisted social engineeringInsight What the future of AI means for business Explore Gartner’s nine predictions for 2026 and how businesses can prepare.News What’s next for AI? The coming 12 months will be defined by the scramble to develop wiser models that think before they speak and do more with less.Explore Think 2026Subscribe todayData managementAI agentsMachine learningDevOpsPrompt engineeringCybersecurityInsight 10 AI dangers and risksExplainer What is quantum computing?Explainer What are AI agents?Explainer What is machine learning?Explainer What is cybersecurity?Explainer Agentic AI vs. generative AIListen to all IBM Think podcasts12 September Why language models hallucinate, revisiting Amodei’s code prediction and AI in the job market Watch episode 72AI AcademyThink 2025 on demandExplore all videosAre your AI agents flying blind?Discover more webinarsMay 13 | AI automation Moving AI from pilot to production? Why unified integration stack mattersMay 13 | Governance Closing the identity gap: securing humans and AI at scaleMay 1 | Agentic AI Agentic AI platforms in banking operations & technologyApr 28 | Data for AI 3 priorities data leaders can’t ignoreApr 21 | Data for AI Taming enterprise AI sprawl: standardizing data infrastructure for AI initiativesOn-demand | AI agents When AI starts shaping choices before shoppers doOn-demand | AI agents IBM + AWS: The essential guide to scaling agentic AIOn-demand | AI agents Cracking the AI value code: Scaling intelligence with controlOn-demand | Automation From 3,000 spreadsheets to real-time insight: how Summerset modernized FP&AOn-demand | AI agents Why asset management teams can’t afford to stand stillOn-demand | Automation The future of enterprise AI: maximizing AI yield in the token economyOn-demand | Data for AI IBM and Pellera on breaking FP&A barriers with generative AIOn-demand | Automation How digital sovereignty shapes business and government strategy in 2026On-demand | AI agents Agentic IAM in practice: enforcing least privilege and auditability for AI agentsOn-demand | AI models Stop flying blind: How continuous FCA transforms risk management and asset lifeOn-demand | AI security Resilience reinvented: how to build a future-ready, AI-driven cyber-resilience strategyOn-demand | AI automation Compliance automation without codingAI AgentsWhat is agentic AI?AI agent frameworks: Choosing the right foundation for your businessWhat is agentic architecture?What is a multi-agent system?AnalyticsGet high-quality data you need for enterprise AIWhat is predictive analytics?What is data governance?What is a data architecture?SecurityWhat is hacking?What is social engineering?What is open source intelligence (OSINT)?What is GRC (Governance, Risk and Compliance)?CloudWhat is infrastructure as a service (IaaS)?What are the benefits of cloud computing?What is software as a service (SaaS)?What is mobile application development?IT infrastructureWhat is the IT Infrastructure Library (ITIL)?What is a transaction processing system (TPS)?What is a field programmable gate array (FPGA)?What is the OSI model?Business operationsWhat is AI in supply chain?AI and the future of human resourcesA guide to AI in marketingThe future of AI in customer servicePrompt EngineeringWhat is prompt engineering?What is a prompt injection attack?What is chain of thought (CoT) prompting?AI jailbreak: Rooting out an evolving threatQuantumWhat is quantum-safe cryptography?What is quantum computing?What is a qubit?What is quantum cryptography?

智能索引记录