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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Privacy violations and unauthorized use of data may pose serious hazards to businesses. Access to Essential Information. Increase in ROI.

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How AI Is Going to Drastically Change the Future of the Automotive Sector

Smart Data Collective

AI is already present in your car in more ways than you can imagine. These AI-powered infotainments learn your habits and preferences over time. So, the next time you step in your car after a stressful day, the AI plays the perfect soothing playlist for you. Let’s start with your infotainment system.

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Becoming an Intelligent, Sustainable Enterprise with SAP

Timo Elliott

Our vision. Vestas, like many companies, wants to measure every aspect of their carbon footprint, so again they turned to SAP to share real-time data and insights with suppliers and build a comprehensive sustainability dashboard to run their business more effectively. It’s a journey and one we want to be on with you.

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Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. This is where AI-based analysis and response play a critical role in extracting optimal value from the data. Bringing the power of AI to IoT.

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insightsoftware Acquires CALUMO

Insight Software

The integration with Microsoft Office allows finance teams to build and update dashboards, reports and presentations with real-time data without ever leaving Excel, Word or PowerPoint. They share a common vision for dramatically improving the lives of finance teams. “Our missions are so tightly aligned.

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Value-based Planning and Enterprise Agility

Cprime

Rather, solid strategic plans that are going to guide value delivery and business success must be based realistically on historical data. Then, as you work the plan, real-time data should inform ongoing decision making to ensure you’re always heading in the right direction.

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Why is AIOps an Industrial Benchmark for Organizations to Scale in this Economy?

GAVS Technology

Gartner defines AIOps as a combination of big data and machine learning functionalities that empower IT functions, enabling scalability and robustness of its entire ecosystem. These systems transform the existing landscape to analyze and correlate historical and real-time data to provide actionable intelligence in an automated fashion.

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