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Smart automation

Smart automation or hyper-automation to go further...

Smart automation by Design Data

Hyper-automation refers to the use of advanced process automation technologies to make activities more efficient and profitable.

Unlike service automation, it involves the integration of so-called intelligent technologies, such as machine learning, artificial intelligence (AI) and the Internet of Things (IoT), into automation processes. This is a trend that many vendors have already integrated into their offerings. According to Gartner, the market for software enabling hyper-automation will be worth nearly $860 billion by 2025.

The goal of hyper-automation is to enable greater and more complete automation of business processes, using advanced technologies to analyze and optimize processes in real time.

It offers many possibilities and opportunities and can be used in many areas, such as finance, healthcare and supply chain services, and in many business or corporate departments, such as accounting, sales or customer service.

The benefits of smart automatisation

Intelligent automation is a concept that has gained popularity in recent years due to its many benefits for businesses and organizations. It replaces tedious and repetitive tasks with computer programs that can be run autonomously.

Intelligent automation relies on the use of artificial intelligence technologies, such as machine learning and natural language processing, to automate decision and execution processes.

This allows large amounts of data to be processed quickly and accurately, which can significantly improve business efficiency and productivity.

There are many examples of intelligent automation in businesses, such as using chatbots to answer customer questions or production robots to manufacture products.

Intelligent automation can also be used in financial services to analyze transactions and detect fraud, or in healthcare to diagnose diseases and recommend treatments.

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What might be the barriers to implementing intelligent automation?

Smart automation by Design Data

Here are some common obstacles to implementing smart automation:

  1. Cost: The tools and technologies needed to implement intelligent automation can be expensive, which can be a turn-off for some companies.

  2. Complexity: Intelligent automation often involves the integration of advanced technologies, such as machine learning and artificial intelligence, which can be complex to implement.

  3. Lack of skilled people: It can be difficult to find qualified employees to implement and manage intelligent automation, especially in areas where the demand for skilled personnel is high.

  4. Resistance to change: Some companies may experience employee resistance to adopting intelligent automation, due to fears about job loss or changes in work processes.

  5. Difficulty obtaining accurate and timely data: Intelligent automation often requires access to accurate and up-to-date data, which can be difficult to obtain in some cases.

So while smart automation has many benefits, it also raises concerns about privacy and job loss risks. It is important that companies and governments consider these concerns when adopting these technologies and put in place adequate safeguards.

In summary, smart automation is a concept that can bring many benefits to businesses and organizations, but it is important to consider privacy concerns and the risk of job loss.

Design Data Consulting, smart data analysis and data management solutions enabling improved decision-making.


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