Ibec’s Post

#IBEC have published a case study on how Irish companies are using AI, and Idiro was asked to share our perspective. We focused on the practical side, where AI actually delivers value, and how to navigate the real issues around data, regulation and reliability.

A good perspective of the changing focus on industry actors as the critical AI governance leaders rather than regulatory bodies.

As AI becomes increasingly integral to business ops, building trust in the technology is a top priority for executives. Gigamon President and CEO Shane Buckley shares the 🔑 to protecting data and strengthening resilience when adopting AI. More in Forbes: https://ow.ly/esUV30sPJfE

As AI becomes increasingly integral to business ops, building trust in the technology is a top priority for executives. Gigamon President and CEO Shane Buckley shares the 🔑 to protecting data and strengthening resilience when adopting AI. More in Forbes: https://ow.ly/L2H130sPKhV

The AI revolution is transforming businesses, but it also brings complex challenges. As organizations adopt AI-first strategies, they're faced with new data governance issues, complex AI interpretations, and emerging quality concerns. Our latest paper explores how organizations can thrive in this new landscape by balancing intelligent systems with ethical oversight. https://bit.ly/46mmJxA

The AI revolution is transforming businesses, but it also brings complex challenges. As organizations adopt AI-first strategies, they're faced with new data governance issues, complex AI interpretations, and emerging quality concerns. Our latest paper explores how organizations can thrive in this new landscape by balancing intelligent systems with ethical oversight. https://bit.ly/3Vmx8nP

Data is the oxygen that fuels AI acceleration. I know this is a bit of a cliché, but here's the reality...most enterprise data strategies weren't built for the AI era. Over 62% of organizations believe the lack of data governance is the main challenge inhibiting AI initiatives. Organizations are hitting roadblocks not because they lack data governance, but because their current frameworks can't handle AI's demands. Traditional governance models were designed for predictable, batch-processed data flows. AI requires something fundamentally different: dynamic, real-time data management that can adapt as quickly as the models consuming it. The companies winning with AI are building governance systems that respond dynamically to changing requirements. They're implementing intelligent data validation that learns and evolves, creating reusable data assets that accelerate model development, and establishing oversight mechanisms that scale with automation. I'm curious about your experiences: How is your organization adapting its data management for AI workloads? What tools are you finding valuable in your Data-AI Governance journey? How have you evolved your data platform and architecture to be AI-ready? This is complex territory where shared insights benefit everyone. #Data4AI #DataGuy #AIGovernance #DigitalTransformation

US federal policy on artificial intelligence is coming to sharper focus with the Trump administration's AI Action Plan. But at the state level, a growing number of proposed and adopted regulations has raised concerns that smaller AI companies will scramble to keep up and comply. Read more: https://okt.to/YuRf24

💡 The EU AI Act is reshaping how AI is handled in the IT channel—raising big questions around risk, compliance, and innovation. Gary Morris dives into this in a great blog featuring insights from vendors like Superna, Unframe AI, Datadobi, Cloudian Inc, Sonatype, ManageEngine, RealVNC and Panzura. What stood out to me: it’s not just about ticking boxes—it’s about building trust through transparency, strong data practices, and collaboration. If you're in the channel and want to see how vendors are turning regulation into opportunity, this is a must-read. 🌍 🔗 Read it here: https://lnkd.in/eQDxN5a8 #EUAIACT #AI #ChannelCommunity #ClimbChannelSolutions #TrustInTech #Compliance #Innovation

Overcoming Barriers to Success While AI offers immense potential to transform business operations, its implementation is not without challenges. From data privacy concerns to integration complexities, businesses often face barriers when adopting AI. In this post, we explore the common hurdles businesses face with AI adoption and provide actionable solutions to overcome them. Is your business prepared to tackle these AI challenges? Let’s discuss the steps to make AI integration seamless and effective. #AIChallenges #AIImplementation #ArtificialIntelligence #BusinessSolutions #AIAdoption #TechHurdles #AIIntegration #DataPrivacy #AIinBusiness #BusinessTransformation