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Building Intelligent GPT Chatbots with Power Virtual Agents and Co-pilot: Best Practices and Considerations

Acuvate

In this blog, we’ll explore some best practices and considerations for building intelligent GPT chatbots using Power Virtual Agents and Co-pilot. Understanding GPT Chatbots GPT chatbots are generative AI bots that use machine learning, LLM’s and natural language processing (NLP) to generate responses based on user input.

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5 Tech Issues That Can Slow Down Innovation

IdeaScale

The seeming slowdown in innovation is also partly due to expansion in outcome-based industries like finance and healthcare that are more difficult to measure than how many widgets one produces. Innovations like virtualization and utilizing proxy servers has been a boon for software research, development, and production.

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Innovation and digital transformation of the healthcare industry

hackerearth

Global healthcare spending is currently estimated at US$ 7.83 Innovation and digital transformation can improve the quality of healthcare while keeping costs in check. The patients used monitoring devices at home to send medical data to the clinic, which used special software to identify patients who needed interventions.

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The Top 5 Technology Trends That Will Drive Innovation in 2018

hackerearth

Over the years, the linear model of innovation has been tweaked to include these variations—the phase gate model (e.g. photo editing software), and technology push (e.g. Whatever your business model, emerging technologies will be a key driver. Machine Learning. Artificial Intelligence.

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Top RPA Use Cases In Different Industries

Acuvate

UOB has also entrusted RPA with repetitive and time-consuming tasks such as reviewing credit card applications. With the ability to review 1,800 applications per day, which is 3.5 Healthcare. Controls and credit review. Policy governance. Review and approvals. Invoice Processing. Vendor reconciliation.

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IoT-based fleet and equipment management solution: The future of logistics and supply chain

Acuvate

An enormous amount of data, ranging from fuel consumption levels, frequency of maintenance cycles, and codes for engine diagnostics to the near real-time vehicle location, delivery ETAs, in-vehicle passenger toll, and driver performance, needs to be collected and analyzed for ideal fleet management.

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Applications of Artificial Intelligence (AI) in business

hackerearth

Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Healthcare. predicts Forrester Research.