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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. While data analytics helps companies make informed decisions and gain a competitive edge, misconceptions surrounding it can hamper its impact. But you cannot be further from the truth.

Data 80
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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

With the help of IoT, equipment, devices, and systems may exchange and monitor data in real time through improved connectivity. Combined with machine learning and advanced analytics, AI allows smart factories to evaluate data, forecast outcomes and failures, control downtimes and maximize output.

Data 52
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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

With the help of IoT, equipment, devices, and systems may exchange and monitor data in real time through improved connectivity. Combined with machine learning and advanced analytics, AI allows smart factories to evaluate data, forecast outcomes and failures, control downtimes and maximize output.

Data 52
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Key Essentials of Modern Business Intelligence

Acuvate

The Growing Importance of Data. The global big data market is forecasted to grow to about 103 billion U.S. Data continuously flows from a plethora of internal and external channels including computer systems, networks, social media, mobile phones etc. Limitations of Traditional Business Intelligence.

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Infographic – 5 trends that will revolutionize the energy market in the next few years

mjvinnovation

We need to rethink the business model to be competitive. The Digital Twins arrive with the promise to promote an ecosystem of monitoring, analysis, and mitigation of failures in the energy market. IT as a strategy: Adoption of a data-driven mindset / Services, 100% digital products / Artificial Intelligence / Blockchain.

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Advanced Analytics For Insurance Industry: 6 Major Use Cases

Acuvate

Advanced analytics helps to mine through big data for actionable insights which can be used for a plethora of business use cases. For instance, in the case of vehicle insurance, the ability to accurately assess the risk posed by a particular driver allows companies to formulate a competitive and profit-making premium.

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3 Steps of Data Science to apply in your company

mjvinnovation

From a human point of view, more linked to innovation and design of solutions, we can divide this stage into two moments: Business immersion: to understand the impacts of data for the organization. Analysis and Synthesis: to structure the challenge that we will overcome. data governance.

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