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Five transformative trends set to shape the enterprise AI landscape

Emma Irwin, Director of Sales Engineering at Dataiku, the company’s recently published annual trends report, “5 GenAI Trends for 2025: Beware the AI Agent Reckoning,” highlighting five transformative trends that will shape the enterprise AI landscape. The report focuses on the next frontier of generative AI (GenAI): the game-changing rise of AI agents and their potential to deliver a transformative impact on enterprises worldwide. Topics covered include AI investment and ROI, data privacy and governance, the LLM ‘mess’ and upskilling the workforce.

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Kaya AI delivers a sustainable supply chain revolution

Ojonimi Bako, CEO and co-founder of Kaya AI, explains how, by leveraging artificial intelligence, data analytics and automation, the company streamlines procurement processes, enabling faster, more efficient, and sustainable project delivery. Kaya AI’s platform is designed to augment human productivity – simplifying procurement tracking and automating routine workflows, empowering teams to accomplish more with fewer resources.

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Five principles for sustainably adopting and running GenAI

Maria Mohr, Global Presales Sustainability Lead at Dell Technologies, and Sarwar Khan, Sustainability Director at BT, discuss the challenges and opportunities organisations face as they seek to leverage around GenAI as a key digital transformation tool - needing to find ways to minimise the environmental impacts of the technology whilst maximising innovation. They share a five-point plan to help organisations sustainably adopt and run GenAI.

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AI for SMEs
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Vicky Critchley, CEO of Truly SMB, explains how this recently launched, forward-thinking tech company is on a mission to help small and medium-sized businesses (SMBs) harness the power of cutting-edge artificial intelligence (AI) technology. By delivering practical, accessible solutions tailored to the needs of their clients, Truly SMB aims to close the gap between SMBs and the tools they need to compete in a fast-changing digital economy.

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Foundation first, followed by agentic AI and AI sovereignty

James Hodge, GVP & Chief Strategy Advisor at Splunk and member of the TechUK AI Committee, discusses how AI remains a central focus, with numerous companies continuing to develop cutting-edge AI technologies at the same time as AI projects are falling short thanks to poor data management, overhyped promises and confused leadership. James offers some advice as to how to ensure AI success - avoiding wasted resources, frustrated boards, and a growing disillusionment with what AI can deliver.

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AI transforming IT Operations

Taggart Matthiesen, Chief Product Officer of LogicMonitor, discusses the findings of the company’s latest research - Unleashing AI-Driven IT Operations: Challenges, Opportunities, and Future Growth. Conducted in partnership with industry research firm EMA, the report offers a deep dive into the adoption of AI in IT Operations (ITOps), gathering insights from over 500 IT professionals worldwide to uncover pivotal trends, challenges, and the innovations driving the future of IT, as Taggart explains.

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Reinventing the high-tech company of tomorrow

Deborah Garand, Managing Director - High Tech, Accenture, discusses the findings of the company’s recent ‘As a Service, at Your Service’ research report which looks at the challenges and opportunities for high-tech companies as they look towards as-a-service (aaS) offerings to improve customer value and operational flexibility. The stakes are high, with 97% of executives believing generative AI can expedite the organisation’s strategic shift toward aaS models, while 75% of executives believe that legacy technology hardware companies will no longer exist unless they begin acting more like software companies.

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AI optimism is high, but challenges remain

Nicolas Leszczynski, Principal Solution Engineer at Riverbed, discusses the results of the recent Riverbed Global AI & Digital Experience Survey, which finds that organisations are at an inflection point as they accelerate their adoption of AI. Despite high optimism, the report reveals this reality – while 94% of those surveyed say AI is a top C-Suite priority and 91% agree it provides a competitive advantage, only 37% are fully prepared to implement AI projects now, as organisations address challenges ranging from data quality to scalability that are impacting their ability to realise the full benefits of AI.

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AI cloud platform promises sustainable compute

Alex Sharp, Chief Projects Officer, Data Centres at Nscale, outlines the scale of the AI data centre challenge – with average rack consuming 130 kilowatts of power, and as chips become more sophisticated, so too does their appetite for energy. In just five years, data centres could account for up to 30% of global emissions. Happily, there are ways in which such a future can be addressed to ensure a sustainable, digital future for the data centre sector.

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AI Transform - Interview with NetApp

Kirsty Biddiscombe, AI, ML and Data Analytics lead for NetApp EMEA, discusses the challenges and opportunities of enterprise AI - with the focus very much on the current skills shortage.

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Analytics and AI - the perfect combination

Iju Raj, Executive Vice President R&D and Simon Bennett, Director, Research and Innovation, both at AVEVA, discuss the importance of real time data analytics and how AI can help unlock access to this key business enabler, sharing examples of how the company is helping companies in the global industrial sector to achieve the twin objectives of driving sustainability and achieving significant cost savings.

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News

MIT researchers crafted a new approach that could allow anyone to run operations on encrypted data without decrypting it first.
JBS Foods, a premium global food company, has expanded its partnership with ManageEngine, a division of Zoho Corp. and a leading provider of enterprise IT management solutions, to standardise the management of...
Yokohama platform release includes teams of preconfigured AI agents now available for faster deployment, improved productivity, and predictable outcomes on day one.
Asana Work Innovation Lab findings reveal AI adoption in many companies is happening in a ‘leadership bubble’—executives are early adopters but employees are on the sidelines.

Expert Opinions

By James Hart, CEO at BCS.
By Steve Leeper, VP of Product Management, Datadobi.
By Eric Herzog, Chief Marketing Officer (CMO) of Infinidat.
By Alwin Bakkenes, Head of Global Software Engineering, Volvo Cars.