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Data Fabric Approach for Effective Data Management

Data Virtualization

Reading Time: 4 minutes A discussion on All Things Data with Katrina Briedis, Senior Product Marketing Manager (APAC) at Denodo, with a special focus on Data Fabric Approach for Effective Data Management. Listen to “Is Data Fabric the Ideal Approach for Effective Data Management?”

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As insurers look to be more agile, data mesh strategies take centerstage

CIO

In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well. As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Enter data mesh.

Insurance 246
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Onboarding and automation: What fintechs can learn from big banks

TechCrunch

The urge to reduce costs imperils continued investment in innovative financial products and services, while at the same time customers have higher expectations than ever for easy, effective, and great experiences. Those lessons ultimately come down to the marriage of process automation and a data fabric. Why focus on onboarding?

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8 data strategy mistakes to avoid

CIO

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Strategy 340
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Web browsers: Reimagining remote work needs at the enterprise level

CIO

As organizations transition to hybrid work models and embrace cloud-based operations, the very fabric of how we work has transformed – opening doors to more security risks. In fact, according to Verizon’s Data Breach Investigation Report , over 80% of security incidents originated from web applications in 2023.

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How strategic partnerships are the key to AI-driven innovation

CIO

But things have gotten a little more complicated now, as the large-scale roll-out of generative artificial intelligence (GenAI) has introduced the need for a multidisciplinary approach to innovation. The real power of the technology is its ability to draw on disparate data sets and connect workflows. This is a challenge for many CIOs.

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8 questions CIOs should ask to prime their business for gen AI

CIO

Companies are now recognizing the work ahead of them to get their data, people, and processes ready to capitalize on gen AI’s potential. Integrating AI effectively into a business begins with setting clear objectives that define the business value and aligning the AI strategy with these overarching business goals.