AI and Digital Transformation

Digital transformation integrates digital technologies to enhance organizational agility and customer experience. The rise of AI necessitates a deeper focus on data management and new operational methodologies. Both transformations share principles of flexibility, rapid feedback, and evolving trust. Adopting AI requires addressing its unpredictability while leveraging established digital practices.

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The battle for agent connectivity: Can MCP survive the enterprise?

Model Context Protocol (MCP) aims to unify AI application connectivity to data sources but faces skepticism regarding its enterprise readiness. While it has backing from major companies, its effectiveness is hampered by industry fragmentation. Competing protocols like UTCP and A2A could emerge, leading to a mixed ecosystem rather than a single standard.

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How BASF’s Agriculture Solutions drives traceability and climate action by tokenizing cotton value chains using Amazon Managed Blockchain

BASF Agricultural Solutions and Infosys partner with AWS to tackle agricultural industry challenges through blockchain technology. By enhancing traceability and sustainability in cotton production, they aim to address rising demand amid ecological concerns. Their platform promotes transparency and fair compensation for farmers, driving a positive shift toward sustainable practices in agriculture.

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AI Increased Productivity? Consider Hiring More Developers!

AI is transforming software development by enhancing productivity through automation and efficiency. Organizations can leverage this increased capacity to pursue more technology goals rather than simply reducing developer headcount. Investing in IT capacity can better address backlog tasks and innovative ideas, ultimately driving greater business value and agility.

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Eyes on Data: Valuing Data with Data Asset Foundations

Data is increasingly recognized as a vital asset in the digital economy, despite lacking formal legal recognition and valuation standards. The Isle of Man’s Data Asset Foundations initiative aims to change this by establishing a framework to treat data as an asset, enabling better ownership, governance, and monetization, thus unlocking its full potential for innovation and investment.

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How AI tax startup Blue J torched its entire business model for ChatGPT—and became a $300 million company

In 2022, Benjamin Alarie pivoted his legal tech startup, Blue J, to utilize AI technology, despite initial challenges. This shift led to significant growth, securing $122 million in funding and expanding its client base to 3,500 organizations. Blue J now addresses pressing talent shortages in the accounting sector, revolutionizing tax research efficiency.

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Charting the path to the autonomous enterprise

The autonomous enterprise envisions businesses operating with minimal human intervention, achieving adaptability through technologies like AI and hyperautomation. However, true autonomy remains elusive, requiring human oversight due to risks and gaps in reliability. The shift from self-governing systems to agentic approaches highlights a pragmatic evolution in automation within enterprises.

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What Technical Debt Means To IT Professionals

Technical debt is increasingly recognized as a complex, broad issue by IT leaders, moving beyond just code quality to encompass various deferred technical work. Forrester’s survey highlights that practitioners view technical debt as a portfolio needing integrated management. Effective strategies involve refactoring, refreshing, and rationalizing to ensure organizational resilience and success.

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How Collectors and Verizon use AI: Billion-dollar plans and 1,000 models

At the OverdriveAI Summit, C-suite leaders from Verizon and Collectors discussed their AI strategies. Verizon employs AI for customer interactions and operational efficiency, while Collectors uses it for authenticating collectibles. Both companies aim to leverage AI further amid industry changes, showcasing its significant impact on their business models.

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Forrester’s 2025 Enterprise Architecture Award Winner And Finalists For North America

Forrester’s 2025 Enterprise Architecture Award recognized Takeda Pharmaceuticals for its Business Architecture Framework, which enhances operational efficiency and patient outcomes through generative AI integration. Finalists Manulife and Verizon showcased excellence in architecture-led innovation and governance. The award highlights enterprise architecture’s role as a strategic enabler of transformation across industries.

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Ask the Expert: How CIOs Prove Business Value

CIOs are increasingly responsible for demonstrating business value, facing challenges like shadow IT and underutilized systems. Experts emphasize the importance of strong business relationships, adaptive change management, and data-driven decision-making. Collaboration with finance leaders and agile methodologies are key to successful technology integration and achieving strategic goals amidst external chaos.

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The Hidden Forces Driving the AI Boom

The pursuit of AI dominance reveals significant ethical and environmental concerns. Data centers are depleting resources, while low-paid labor in developing nations aids in content moderation. Author Karen Hao likens tech companies to empires, urging a shift from general-purpose to task-specific AI development for a more equitable future shaped by collective human choices.

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Beyond ROI: The True Impact of Executive Coaching

The intricacies of measuring the impact of executive coaching hinge on balancing quantitative metrics with qualitative narratives. While numerical data provides scale, personal stories of behavioural changes often reveal deeper transformations. To enhance measurement, maintaining an Executive Coaching Journal can document both actions and reflections, thereby capturing the essence of growth in leadership.

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Data Speaks for Itself: Fly-By-Wire Data Management

The article advocates for positive data control (PDC), likening it to the “fly-by-wire” system in aviation. PDC automates data management, ensuring compliance with governance policies while facilitating user requests through a control layer. The author highlights the potential of large language models (LLMs) to implement PDC, addressing governance and recording issues.

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