Remove insights data-platform what-is-data-monetization
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6 strategic imperatives for your next data strategy

CIO Business Intelligence

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

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How to Turn Your Existing Data Into New Revenue

Sisense

Time to make your data work for you. In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. Domain expertise + data = new revenue opportunities.

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How AI Software is Changing the Future of the Automotive Industry

Smart Data Collective

Automotive OEMs and top automotive software companies can work together to build resilient software development processes with sophisticated AI algorithms that allow them to innovate, meet growing customer needs for infotainment systems, and monetize new business models. Global companies spent over $328 billion on AI last year.

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The Economy of Things: the next value lever for telcos

IBM Big Data Hub

These IoT connected devices form a critical backbone of data for industry. But what if those devices—and their data—are unlocked to autonomously share, monetize and transact on their own generated value? What new organizational, cross-industry or societal innovation could be generated as a result?

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Advancing AI: The emergence of a modern information lifecycle

CIO Business Intelligence

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact.

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

CIO Business Intelligence

Companies are now recognizing the work ahead of them to get their data, people, and processes ready to capitalize on gen AI’s potential. In fact, insights from a recent Accenture survey found that nearly all (99%) executives said they plan to amplify their investments in the technology. So, what can CIOs do now?