Automation is the key for businesses to increase their productivity and boost growth. Companies around the globe are increasingly switching to automation-related tools and software to optimize their workforce. Automation tools can complete repetitive and redundant tasks in real-time with great efficiency, allowing businesses to use their workforce towards more productive services.
The advent of many intelligent technologies like machine learning (ML), artificial intelligence (AI), deep learning, and so on has played a significant role in the automation process. ML techniques use many powerful algorithms to help companies in getting insights into their business process and applications. This technique can be a boon for many companies in various applications. Here is an analysis of the impact of ML techniques on different sectors:
The Blockchain Factor: The popularity of bitcoins has given rise to the blockchain phenomenon. The technology is widely regarded as the best technology available today in terms of security and transparency. Many companies have also started implementing blockchain technology as it uses ML algorithms for big data architecture. Blockchain tools combine the cookies and overall user behavior, which is used by ML algorithms to provide business insights. Although the technology is still in its nascent stages, many digital companies are trying to exploit data with blockchain and ML tools.
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Warehousing Automation: Warehouse management has been one of the major challenges for many companies over the years. Companies are increasingly switching to automation tools for efficient warehouse management. A complete automation in warehouses can provide a significant boost to the productivity of a company. Alibaba automated the central warehouse in 2018, which resulted in an increase of 70 percent in its productivity level.
Mobile Development: ML techniques have been widely used in mobile app development for its powerful algorithms. Google UK is planning to use deep learning to provide a new look in both user experience and precision. The company is focusing on Simultaneous Localization And Mapping (SLAM) to generate and update the surroundings in 3D automatically.