72% of executives point to insufficient real-time data infrastructure as a barrier to scaling AI. As AI moves from answering questions to taking action, that gap matters even more. Agents need current, governed context to accurately respond to what’s happening across the business. Explore why real-time context could be the missing layer in your AI data architecture: https://ibm.co/6042EVuia
IBM Data, AI & Automation
IT Services and IT Consulting
Armonk, New York 307,567 followers
Unlock the power of data to scale business #AI and intelligent #automation.
About us
Deliver greater IT and network efficiency with #data and AI-powered automation. Using AI, IBM solutions provide comprehensive visibility into IT and network environments, automate routine tasks, and help teams maintain peak performance and availability across distributed clouds and networks. IBM’s Data and AI solutions empower organizations to simplify data access to facilitate self-service data consumption, ensure governance, and build a foundation to implement trustworthy AI.
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https://ibm.biz/BdMwHk
External link for IBM Data, AI & Automation
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Updates
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IBM Data, AI & Automation reposted this
𝐑𝐞𝐚𝐝𝐲 𝐟𝐨𝐫 𝐚𝐠𝐞𝐧𝐭𝐬? We're getting very good at creating agents. Now we need to get just as good at making them work across the enterprise. So what does it take? I’d start with three things: 1️⃣. 𝐆𝐞𝐭 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐫𝐞𝐚𝐝𝐲 Agents need more than access to data. They need trusted, real-time enterprise intelligence to understand context and make better decisions. 2️⃣. 𝐏𝐮𝐭 𝐚𝐠𝐞𝐧𝐭𝐬 𝐭𝐨 𝐰𝐨𝐫𝐤 The value of agents comes from connecting them to the applications, tools and business processes where work actually happens. 3️⃣. 𝐏𝐥𝐚𝐧 𝐟𝐨𝐫 𝐭𝐡𝐨𝐮𝐬𝐚𝐧𝐝𝐬, 𝐧𝐨𝐭 𝐝𝐨𝐳𝐞𝐧𝐬 The runtime that works for a small number of agents wont work as you scale. Governance, observability and orchestration need to be designed for that from the start. This is the shift ahead of us: from creating agents to operating an agentic enterprise. I’ll be digging deeper into how we put all three into practice and what it means for developers building the next generation of enterprise software at #IBMTechXchange, October 26 to 29. Join me in Atlanta. There's a lot more to build. https://lnkd.in/gC6qFCpH
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IBM Data, AI & Automation reposted this
How far left should you shift security when AI is writing the code? More security guidance in your agent’s context isn’t always better. This article explores how to balance agent rules, policy as code, and security tools for secure-by-default development. #DevSecOps #AISecurity #IBMBob
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We're proud that IBM is recognized as a Leader in the IDC MarketScape: Worldwide AI-Enabled Lease Administration Applications 2026 Vendor Assessment. As lease portfolios become increasingly complex, organizations need solutions that simplify lease management, improve visibility across real estate portfolios, and help teams make more informed decisions. IBM Maximo Application Suite unifies lease administration and accounting, facilities management, and enterprise asset management on a single platform. Maximo Real Estate and Facilities, part of Maximo Application Suite, includes an AI-enabled lease abstraction feature that automates the extraction of key lease data, tracing the values back to its source for an auditable trail. Learn more: https://ibm.co/6048EpAHr
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For the 11th time, we have been recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for API Management. 🚀 We believe this recognition reflects our continued innovation and commitment to helping enterprises evolve API management for the age of AI. With IBM API Connect, organizations can bring AI-assisted development into the API lifecycle, turn existing APIs into agent-ready tools and govern how agents, models and tools interact with enterprise systems across hybrid environments and without creating a parallel AI stack. Learn more: https://ibm.co/6047EpZdP
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IBM Data, AI & Automation reposted this
On-prem. Air gapped. Hybrid. IBM Bob can now be deployed where your code already lives. Discover how the solution brings agentic software development to sensitive and mission-critical workloads while giving enterprises control: https://ibm.co/6040EpV72
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Data requests are growing. CPUs alone cannot handle the load. With watsonx.data organizations can apply GPU acceleration for better performance across compute-intensive workloads. Discover how watsonx.data, accelerated by NVIDIA, is scaling enterprise analytics for the agentic era: https://ibm.co/6040EpOSi
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IBM Data, AI & Automation reposted this
Observability is increasingly becoming a data streaming challenge. As telemetry volumes grow and AI raises the value of operational data, teams are reevaluating how data is collected, moved, processed, and reused across the business. Join Steffen Hoellinger and SecurityScorecard's Brandon Brown to explore how leading teams are controlling costs, maintaining flexibility, and building the foundation for future AI initiatives: https://ibm.co/6041EThSt
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IBM Data, AI & Automation reposted this
Governance starts before an AI asset is ever built. AI governance has been under the spotlight this past week. Some of the most prominent voices in AI have publicly called for the industry to give safety and oversight time to catch up with capability. Whatever side of that debate you're on, it's a signal: governance isn't a side conversation anymore. It's the conversation. Governance, risk, and compliance have anchored trust in technology for over a decade. But for AI, the talent, processes, and tools behind GRC are all being revisited for this new world. 🎥 In our last webinar with Sanjeev Mohan (link in comments), we covered the foundations of an AI governance stack: visibility, control, accountability. This time, I'm joining J. Schumacher from American Honda Motor Company, Inc. and Neil Leblanc to go deeper into the AI lifecycle itself. What does governance actually look like at each stage, from development through deployment and runtime monitoring? 📅 Sept. 29 | 12 PM EST 🔗 Register: https://lnkd.in/grnAX6E7
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We’re proud that IBM has received the 2026 IDC SaaS Customer Satisfaction Award for Asset Lifecycle Management (ALM/EAM), placing among the highest-scoring vendors based on customer ratings. Managing critical assets takes more than technology. It requires solutions organizations can rely on to improve reliability, optimize performance, and make better operational decisions across the asset lifecycle. Read the full report here: https://ibm.co/6049ETF91
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