Intelligent Logistics: Why Use Big Data, AI And IoT To Differentiate

Competitiveness forces companies to seek innovative alternatives to differentiate themselves. The logistics sector, in particular, has led to the search for intelligent logistics powered by technologies such as IoT, big data, and AI. 

1. Lack of knowledge: Industries still face a lack of familiarity with the technological innovations of Industry 4.0. The lack of digital culture and incentives for modernization on the part of companies delay their advances and lose competitiveness.

2. High cost of implementation: One of the industry’s main complaints is the lack of availability of specific lines of investment for technological performance by financial institutions and public bodies.

3. Qualified professionals: The increase in data and connectivity brought by IoT, big data, and AI requires in-depth data science knowledge to lead to new applications. Digital culture has not yet reached high levels within organizations, demanding actions to attract professionals.

One solution to these challenges is finding specialized companies to help managers and CIOs disseminate technological knowledge within their teams.

Also Read: What Are The 5 Vs. Of Big Data?

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