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Unlocking the full potential of enterprise AI

CIO

1] The limits of siloed AI implementations According to SS&C Blue Prism , an expert on AI and automation, the chief issue is that enterprises often implement AI in siloes. SS&C Blue Prism argues that combining AI tools with automation is essential to transforming operations and redefining how work is performed.

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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO

The Middle East is rapidly evolving into a global hub for technological innovation, with 2025 set to be a pivotal year in the regions digital landscape. AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance.

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How today’s enterprise architect juggles strategy, tech and innovation

CIO

In todays rapidly evolving business landscape, the role of the enterprise architect has become more crucial than ever, beyond the usual bridge between business and IT. In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns.

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From Machine Learning to AI: Simplifying the Path to Enterprise Intelligence

Cloudera

A Name That Matches the Moment For years, Clouderas platform has helped the worlds most innovative organizations turn data into action. As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, its clear that our naming should reflect that shift. This isnt just a new label or even AI washing.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

While useful, these tools offer diminishing value due to a lack of innovation or differentiation. Before LLMs and diffusion models, organizations had to invest a significant amount of time, effort, and resources into developing custom machine-learning models to solve difficult problems.

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Leveraging AMPs for machine learning

CIO

The data and AI industries are constantly evolving, and it’s been several years full of innovation. Such a large-scale reliance on third-party AI solutions creates risk for modern enterprises. The alternative is to take advantage of more end-to-end, purpose-built ML solutions from trusted enterprise AI brands.

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The key to operational AI: Modern data architecture

CIO

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. Today, enterprises are leveraging various types of AI to achieve their goals. The team should be structured similarly to traditional IT or data engineering teams.