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The impact of AI and Automation on image data entry services

Offshore India Data Entry

Image Data Entry Services is the collection of crucial information from images and converting it into a format that the client prefers. As this task is much bigger and time-consuming, it is better to outsource image data entry works, so that your business can achieve a good result.

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Exploring Emerging Generative AI Trends in Technology | Blog

Everest Group

Several emerging key generative AI (GAI) trends can profoundly impact automation, productivity, and human expertise, but harnessing GAI’s many opportunities will come with risks that will require enterprises to make complex choices and strategically adapt. Read this blog for valuable insights to prepare for this new frontier.

Banking 59
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History of BPO: Past, Present and The Future

Offshore India Data Entry

In this blog post, our BPO experts at Offshore India Data Entry will explore the history of BPO, its current state, and future directions, discussing its advantages, disadvantages and challenges. From its early days to its current thriving state, BPO has evolved to meet the changing needs of companies worldwide.

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What role can web scraping services play in the finance industry?

Offshore India Data Entry

Web scraping services is the process of extracting website contents or data, instead of manually copying and pasting from the websites, you can do it with a click of a button. The common use of web scraping services Data is the foundation for new advancements and innovations for a better future.

Finance 109
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Intelligent automation vs. RPA: How to avoid key mistakes

TTEC

Customer service is demanding. On average a contact centre associate needs to handle complex applications, urgent customer needs, and all the manual inefficiencies that come with service inquiries. So, what’s the difference between intelligent automation versus RPA? What is intelligent automation?

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The Dark Side of CX – Data Harvesting is Rampant

Anexa

Many companies are collecting customer data in the quest to improve experience. Issues arise, however, when this data is sold to create an additional revenue stream. With today’s savvy consumers becoming more aware of how their data is being used, it becomes clear that data exploitation poses a real risk to consumers.

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Data science vs. machine learning: What’s the difference?

IBM Business Partners

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field. What is machine learning?