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4 smart technologies modernizing sourcing strategy

IBM Big Data Hub

Sourcing is getting smarter. To start, many organizations have already pivoted from a tactical to a strategic sourcing mindset—which can make all the difference when it comes to gaining and retaining a competitive advantage. Read our solution brief to get started.

Strategy 105
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9 traits of great IT leaders

CIO Business Intelligence

That has been the message coming from veteran CIOs, executive advisors, and management consultants in recent years. To really stand out, the best CIOs — like all top executives — must also know how to lead. Here, veteran CIOs and executive leadership experts highlight the essential traits required to be a standout IT leader today.

IT 124
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How CIOs can be pillars of stability in an uncertain world

CIO Business Intelligence

What really drives uncertainty One of the smartest guys on this planet, Ed Gough, formerly chief scientist and CTO at NATO Undersea Research Center (NURC) and former technical director at the US Navy’s Naval Meteorology and Oceanography Command, explained to me that ignorance is at the root of uncertainty.

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New world, new CIO: How emerging realities are shaping the CIO’s job

CIO Business Intelligence

In a relatively brief time span, technologies like cloud, edge computing, artificial intelligence, and IoT have taken center stage, and new innovative technologies keep emerging. In many organizations, technology domains have started to converge, and digital transformation has moved from a focused program to business as usual.

IoT 75
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What CIOs and CTOs should consider before adopting generative AI for application modernization

IBM Big Data Hub

Leaders must also address the expertise gap by prioritizing talent development and get cultural buy-in on modernization as a strategic, future-proofing business investment rather than an operational technology play. Start small, test and scale. They need to champion modernization as a business initiative, not an IT project.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

We’ll get into some of the consequences of poor-quality data in a moment. However, let’s make sure not to get caught in the “quality trap,” because the ultimate goal of DQM is not to create subjective notions of what “high-quality” data is. More generally, low-quality data can impact productivity, bottom line, and overall ROI.

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Self-Service BI vs Traditional BI: What’s Next?

Alation

Modern business intelligence starts at the dawn of digital computing. But given the nature of organizations at the time, the focus was upon creating executive information systems (EIS). The request model started to fray. A Short History of Business Intelligence. The Failure of Traditional BI Approach.