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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

8) RPA (Robotic Process Automation) and intelligent automation were not new in 2020, but the surge in their use and in the number of providers was remarkable.

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Competition is stiff, but retailers know what it takes to compete

CIO Business Intelligence

Automating routine tasks for frontline employees by using technology like computer vision to identify items more accurately and verify information, electronic shelf labels, RFID to track inventory, and customer-facing robotic associates. Data-driven, operational innovation will improve both efficiency and customer experience (CX).

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How AI Is Helping Revolutionize Elder Care

Smart Data Collective

Robot Assistants Are Letting Nurses Focus on the Patient. Robot assistants in healthcare , which are powered by artificial intelligence, are versatile machines that can perform a range of tasks from taking patients’ vitals to sterilizing equipment. Elder care is an important topic for every family.

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The Growing Importance of AI for Small Businesses

Smart Data Collective

Additionally, when the candidate is brought on board, your AI-based HR tool can serve as a knowledge resource for new employees on topics such as benefits and leaves. But that’s not all… AI-based robots have found a fan in employees. That’s because robots, unlike most humans, offer data-driven, prejudice-free advice.

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Closer to AGI?

O'Reilly on Data

Gato is a model that can solve multiple unrelated problems: it can play a large number of different games, label images, chat, operate a robot, and more. But then the question becomes “How many specialized datasets would we need to train a general intelligence so that it’s accurate on any conceivable topic?” Is that answer a million?

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The digital mechanics that drive BMW’s latest rollout

CIO Business Intelligence

I can meet with the necessary colleagues at any time in collaboration sessions and discuss topics, he says. Collision checks can be performed in the virtual environment to detect planning errors early, and motion sequences can be simulated to prevent collisions caused by moving parts, such as robots from the outset.

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How Data Flow Works In MQ Telemetry Transport (MQTT)

Smart Data Collective

It brought with it the Internet of Things (IoT) , robotics, artificial intelligence, and other emerging disruptive technologies. The publishers and subscribers’ relationship works like this: Publisher (data source) transmits data or message on a Topic. Client subscribes to a Topic to receive messages. An Overview Of MQTT.