Another year, another trip to Germany for April’s Hannover Messe industrial trade fair. At just 110,000, the visitor count was 85% of last year’s, at
Category: Information technology
BNY Built Its Digital Workforce Backward — And It’s Working
BNY’s successful AI strategy emphasizes building a robust platform before deploying digital employees. Starting with a governed system, followed by training employees, allowed BNY to effectively integrate autonomous agents into operations. This approach ensures scalability and trust, avoiding pitfalls faced by others in the banking industry. A case study explores these insights.
Amazon Opens Its Supply Chain Empire To All — But Is It A Fit For Your Business?
Amazon has launched Amazon Supply Chain Services (ASCS) to leverage its vast logistics network, allowing businesses to outsource supply chain operations. This innovation reflects a broader trend towards outsourcing for efficiency and cost savings. Notable companies like 3M and Procter & Gamble are already utilizing ASCS for enhanced delivery capabilities.
SAP Sapphire 2026: The Autonomous Enterprise Is Credible, But It Comes With Concentration Risk
At SAP Sapphire 2026, SAP unveiled its “Autonomous Enterprise” vision, highlighting M&A, product developments, and AI strategies. Key partnerships were confirmed, including JPMorgan Chase’s migration to SAP. The AI landscape involves significant innovations, yet caution is advised due to potential vendor lock-in and execution challenges amid agent governance and architectural shifts.
AI agents in automation: When to build, when to buy
AI agents are transitioning from experimental roles to essential components in enterprises, particularly in regulated sectors like banking and healthcare. Organizations face a nuanced decision of building custom agents versus buying prebuilt solutions. The key challenge lies in effectively operationalizing AI within controlled business processes, emphasizing orchestration for accountability and flexibility in agent deployment.
Whirlpool, Duke Energy and Cleveland Clinic CIOs slow down to scale AI
CIOs at the Momentum AI conference emphasized that scaling AI in enterprises requires a methodical approach rather than haste. Key steps include defining business outcomes, achieving employee buy-in, and ensuring low error margins. Successful implementations involve thorough evaluations, clear communication, and taking time to understand the technology’s impact and user needs.
The Playbook for RIMOWA’s Transformation
RIMOWA, a German luggage manufacturer acquired by LVMH in 2016, transformed from a modest brand into a symbol of functional luxury through strategic rebranding, direct customer engagement, and innovation. Its focus on craftsmanship, sustainability, and creative collaborations has reinforced its market position while expanding into new product categories, ensuring continued growth in the luxury sector.
You Wanted to Become AI-Native, and All You Got Was a Lousy Foundation
The article critiques a strategy favoring foundational fixes in AI adoption over immediate, impactful initiatives. Organizations should prioritize solving specific customer problems, building necessary infrastructure as they progress. This iterative approach fosters innovation and meets board expectations, contrasting with lengthy, premature groundwork that often wastes resources without delivering value.
Why and how to implement an AI asset rationalization strategy
As AI adoption increases in enterprises, the effectiveness and cost justification of AI investments become critical. AI asset rationalization evaluates the value of AI systems, identifies inefficiencies, and ensures they align with business needs. This strategic assessment helps organizations optimize their AI resources, enhance ROI, and minimize waste in AI spending.
A blueprint for using AI to strengthen democracy
The text discusses the transformative impact of AI on democratic processes, emphasizing that AI is reshaping how individuals form beliefs and engage with governance. While this shift could exacerbate polarization, it also presents opportunities for increased civic engagement. The authors urge the design of responsible AI systems to ensure they support democratic values and do not obscure diverse public discourse.
The AI infrastructure boom is coming for enterprise budgets
Chipmaker stocks surged due to rising forecasts for server CPU growth driven by AI demand. As AI infrastructure spending from major companies increases, enterprises face challenges in managing costs and measuring ROI. A shift from experimentation to disciplined investment is occurring, emphasizing the need for operational value and monitoring in AI deployments.
AI on trial: The Workday case that CIOs can’t ignore
The case Mobley v. Workday Inc. involves 14,000 participants claiming age discrimination by AI hiring systems. It questions the liability of AI vendors versus customers under antidiscrimination laws. Methodological disputes on bias detection arise, highlighting the complexities of bias audits. The case emphasizes the need for independent oversight of AI hiring practices.
Eating My Own Dog Food: How I Used the Framework to Write the Post About the Framework
The article “Don’t Automate Your Moat” discusses the balance of AI autonomy in engineering between business risk and competitive differentiation. It details the author’s process, emphasizing human oversight in crafting nuanced arguments, verifying sources, and maintaining an authentic voice while utilizing AI for mechanical tasks and collaborative critiques, underscoring the importance of human judgment in AI utilization.
The Reality of Containers in 2026: Beyond Docker Hype
The article discusses the evolving landscape of container technology, emphasizing both its benefits and challenges. While containers can optimize cloud operations and enhance deployment speed, they introduce complexities in orchestration, management, and security. Successful adoption requires clear goals, platform engineering investment, and awareness of potential pitfalls, especially with emerging AI workloads.