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5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

But speaking to many IT leaders, there are often gaps between how IT runs Scrum, Kanban, or other agile practices and what CIOs need in order to achieve digital transformation objectives. We discussed how many agile teams focus on rituals without truly understanding the manifesto’s objectives or the organization’s goals.

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Why CIOs back API governance to avoid tech sprawl

CIO Business Intelligence

Digital transformation and growing reliance on third-party services are key contributors as well, she adds. API-first development yields a multitude of benefits, he adds, including abstraction of the underlying data, increased automation, better governance over data usage, and a more accessible audit trail.

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The unfulfilled promise of automation: DNA matters

CIO Business Intelligence

Vendors, by making indistinguishable claims about digital transformation and process automation, suggest similar outcomes. Digital transformation cannot be achieved through purely tech-enabled, service-led approaches, with the promise to build autonomous enterprises with low code, flexible applications, etc.

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

Using EAM data to implement predictive and preventive maintenance programs helps oil and gas companies take a more proactive approach to asset maintenance, reducing unexpected downtime and minimizing costs associated with emergency repairs. It also benefits from advanced asset management software, like IBM Maximo.

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Incident management vs. problem management: What’s the difference?

IBM Big Data Hub

An increase in organizations pursuing digital transformation and other technology-driven operations makes incident management even more important given the dependence on technology to deliver solutions to customers. ITIL processes connect IT services to business operations so that they can change when business objectives change.

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12 considerations when choosing MES software

IBM Big Data Hub

Before implementing an MES, it’s essential to conduct a thorough assessment of your manufacturing operations, set clear objectives, involve key stakeholders and select the right MES vendor that aligns with your specific needs. Compliance and security: For industries with strict regulatory requirements (e.g.,

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How to choose the best AI platform

IBM Big Data Hub

These development platforms support collaboration between data science and engineering teams, which decreases costs by reducing redundant efforts and automating routine tasks, such as data duplication or extraction. Apart from pricing, there are numerous other factors to consider when evaluating the best AI platforms for your business.