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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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Top 5 Digital transformation use cases for the BFSI industry

Acuvate

The advent of conversational AI and NLP in the form of chat and voice bots has empowered banks to mimic the branch experience at scale with the ability to converse in the customer’s preferred language. Hyper-personalization of banking and financial services through AI-driven analytics. Security and Fraud Detection.

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4 Emerging Technologies Impacting Today’s Digital Transformation

Acuvate

Although the concept of cloud technology isn’t new, it’s quickly become a valuable tool for organizations of all sizes in every industry, with data pointing to business efficiencies, cost benefits, and competitive advantage. . 2 Artificial Intelligence (AI). 4 Big Data.

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Applications and innovations in the Internet of Things (IoT)

hackerearth

The Industrial IoT (IIoT), also known as the industrial internet or industrie 4.0 , employs big data technologies and machine learning to exploit machine-to-machine (M2M) communication, sensor data, and automation technologies that are already in place. Industrial IoT. IoT in Agriculture.

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7 steps to implement Data Science in your company

mjvinnovation

Data Science is about mining large amounts of structured and unstructured data to identify patterns that can help an organization control costs, increase efficiency, recognize new market opportunities, and increase the organization’s competitive advantage. Hire data scientists.

Data 52