Linda Roude

Really interesting #TargetingAI podcast featuring IBM’s Bruno Aziza, who shared what IBM is seeing in customer engagements around AI.   What stood out to me was the need for customization and collaboration, building AI that works across multiple clouds, and integrates with core enterprise systems. This reflects a bigger truth about enterprise AI: no single stack or silo can meet the diverse needs of global businesses.    At Rocket Software, we see the same reality every day. Successful AI adoption isn’t just about the model, it’s about enabling secure, governed access to the right data, wherever it lives. That’s why the future of AI in the enterprise will be won by those who bring AI to the data, not the other way around.    Curious to hear what others think: is optional, hybrid AI the model that enterprises will ultimately trust most? https://lnkd.in/ehwdTWcM 

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IBM’s next target: To be the premier enterprise platform across virtually any cloud! 🎯 Join #theCUBE’s David Vellante at #IBMThink, as he sits down with Ritika Gunnar, GM of Data and AI at IBM, to talk about the company’s approach to becoming a premier enterprise platform across any cloud or app with a robust agent control framework. “There are a couple of different levels. At the first level, you need to have access into your enterprise systems. In some cases, those are exposed as tools. We've built pre-built integrations with a number of enterprise systems because of the foundation that IBM has always had. We have always had deep relationships into the CRMs and the ERP systems that our clients use. That's the foundation of it, but built on that is the ability for you to create your own agents and tools or use the pre-built tools,” Gunnar shares. “We announced this week the ability to do pre-built agents in human resources, sales and procurement. We have a number coming in customer care, finance and other particular domains. Then on top of that, the ability to be able to have multi-agent orchestration. This is where the power is of how you orchestrate across all those different layers. Having a new interaction paradigm to work across this multi-agent orchestration framework,” she adds. 💡 Catch the complete discussion on-demand! https://lnkd.in/g7z_R8yf 🆕 Want to see what’s next from IBM? Explore new announcements and innovations here: https://lnkd.in/eUBmtjhx #VirtualEnterprisePlatform #AIAgents #EnterpriseTechNews

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OpenText’s leadership shake-up and portfolio review should have Vertica customers paying close attention. With its CEO ousted by the board, a shift toward AI-first priorities, and the possibility of divesting “non-core” assets, the future direction for Vertica is far from certain. In our latest blog, we look at what’s changed, what it could mean for Vertica customers, and why now is the time to review your analytics strategy — before market forces make the decision for you. Read the full post here: https://lnkd.in/eVxvDzfW #vertica #opentext #database #opinion

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See how VMware Cloud Foundation (VCF) 9.0 enables organizations to build and operate modern private cloud infrastructure on-premises and at the edge, delivering agility, scalability, and cost control. https://dy.si/5HzY9

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IBM Granite 4.0 is here! Hyper-efficient, high performance hybrid models for enterprise 🔥 The launch of Granite 4.0 initiates a new era for IBM’s family of enterprise-ready large language models, leveraging novel architectural advancements to double down on #small, efficient #languagemodels that provide competitive performance at reduced costs 💰 and latency ⏳ . The Granite 4.0 models were developed with a particular emphasis on essential tasks for #agentic workflows, both in standalone deployments and as cost-efficient building blocks in complex systems alongside larger reasoning models. Learn more 👉 https://lnkd.in/djEhViYS?

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At #EEI25 Oracle CEO Safra Catz discussed how utility companies can benefit as both users of AI and providers of the critical energy it requires. Learn how Oracle is working with the utilities industry to accelerate #cloud and #AI innovation. https://lnkd.in/e3mPYyTG

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At #NVIDIAGTC, ServiceNow and NVIDIA are taking our partnership to the next level—advancing a governed agentic workforce, expanding our Enterprise AI Factory and AI Control Tower integration, and establishing enterprise-ready benchmarks for voice and multimodal AI. https://lnkd.in/gNSQafSh

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A great article that describes IBMs partner centric approach to AI. "A critical, tangible manifestation of this partner-centric strategy is IBM Fusion HCI. This offering is IBM's answer to one of the most significant hurdles in enterprise AI adoption: the sheer complexity of architecting, procuring, and deploying the underlying on-premises infrastructure." https://lnkd.in/esEn4CZH

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OpenText just laid off 1,600 people while announcing that AI skills are now mandatory for all new hires. Employees are being told to prove why AI can’t do their job before asking for headcount or resources. An increasingly common refrain in corporate Canada … (hello Shopify). But. If every company follows this path—cutting staff, leaning on AI to drive margin—who’s left to buy what they sell? I ran some quick math (with a little help from GPT): 1,600 tech jobs at an average $75K salary, with about 65% typically going toward consumer spending, comes out to $78 million in lost annual spending. That’s $78 million not circulating through restaurants, retailers, service providers—or other tech companies. The logic of profitability is clear. But there’s a limit to how much human labor you can remove from the system before you start eroding the very demand your business depends on. We can’t automate our way out of an economy that still runs on people.

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From new AI agents for Fusion Cloud Applications to a consolidated AI data platform, at #AIWorld Oracle shared all the new ways they are embedding AI across its technology. TechTarget has the details: https://lnkd.in/duJEvD5q

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How can ecosystem partnerships shape the future of the mainframe? Don’t miss this insightful discussion between Namik Hrle, IBM VP of Z Data Strategy, Samantha Buhler, Product Manager, and Chile Hidalgo, Data Management & Strategy Leader at Broadcom, as they explore the innovations driving the mainframe platform forward. From addressing skill shortages to embracing mainframe’s innovations, this conversation highlights how collaboration strengthens the ecosystem. https://dy.si/DRzrFE

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