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If last years Huawei Industrial Digital and Intelligent Transformation Summit was about exploring the opportunities and challenges of industrial intelligent transformation, the 2025 edition was about how rapid AI development has changed the landscape. Can we translate the concept of inclusive AI adoption across all industries into a reality?
Just as no one wants to run mission-critical systems on decade-old hardware, modern SDLC and DevOps practices must treat software dependencies the same way keep them updated, streamlined, and secure.
That said, 2025 is not just about repatriation. Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system. Around the AI service, you need to build a solution with an additional 10 to 12 different cloud services that fulfill the needs of an enterprisesystem.
In a report released in early January, Accenture predicts that AI agents will replace people as the primary users of most enterprisesystems by 2030. Gaskell expects to see up to 45% improvement in margins by mid 2025. And thats just the beginning.
The knowledge management systems are up to date and support API calls, but gen AI models communicate in plain English. And since the individual AI agents are powered by gen AI, they also speak plain English, which creates hassles when trying to connect them to enterprisesystems.
The process implications are staggering when we consider what this means in terms of operational efficiencies for core systems that include supply chain management, ERP, HCM, finance, sales and marketing. Agentic AI is here to stay and will gain tremendous momentum in 2024.
Cybersecurity consistently ranks as the top concern among CIOs worldwide, but despite the high priority they place on ensuring their environments are safe from cybercriminals and hackers, only about one-third (35%) of IT organizations have implemented a comprehensive cyber recovery plan, according to PwCs 2025 Global Digital Trust Insights report.
“One of my bold bets is I want to eliminate our traditional service desk by 2025,” says Jason Ballard, IT executive and general manager for infrastructure and operations services at Toyota Motor North America. On average, AgentAsk is offsetting the work of about 25 level-one service technicians each week, Ballard says.
At Gartner’s London Data and Analytics Summit earlier this year, Senior Principal Analyst Wilco Van Ginkel predicted that at least 30% of genAI projects would be abandoned after proof of concept through 2025, with poor data quality listed as one of the primary reasons. This immediately adds complexity.
Amy Cravens, research manager for GRC and ESG at analyst firm IDC, anticipates significant market growth in 2024 and 2025 “as companies prepare for regulatory requirements and perhaps suffer ramifications of compliance failures resulting from insufficient tech enablement.” Enterprise Applications, Green IT, IT Governance
Nvidia unveils open source Llama Nemotron models for advanced AI reasoning The launch of the Llama Nemotron reasoning models is partially a response to the surge in reasoning models witnessed in 2025.
million machine identities and certificates to deal with by 2025. But manual scripts, spreadsheets and homegrown automations don’t scale to support those numbers, especially as most enterprises have poor visibility of how many certificates and machine identities they’re already using.
The same report expects the energy consumption of data centres to increase by 21% by 2025 as the demand for digital services grows. billion in 2020 to just over $29 billion in 2025. In 2018, data centers alone accounted for. of the electricity demand in the EU28. according to a recent EU report. International Data Corporation (IDC).
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