Data-fueled technological convergence: what and how to implement it?

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AI, IoT, Cloud Computing and 5G trends are widely discussed due to the opportunities they offer in a highly competitive business world based on a data economy . Making the most of these trends is crucial to reach a new level of business success.


PowerData - Data-fueled technology convergence: what to implement?

By 2021, 90% of large enterprises had adopted a multi-cloud approach and that figure is expected to rise to 94% this year.

Source: K&C



Companies and their human resources are in a position to welcome new botim database and also to delve deeper into some tools that are not yet being fully exploited in order to achieve a 360-degree view of the business and be able to make intelligent decisions based on data .



Data Strategy 2023: How to create value for the organization, customers and society?



With the rise of machine learning (ML), businesses have in recent years been moving towards a way of working based on artificial intelligence (AI). The challenge they face is to find new methods and strategies to take advantage of this data, design better customer service and improvements in contact experiences.

Both machine learning and artificial intelligence , which have long been anticipated as revolutionary technologies for companies, now have the foundations (both in terms of infrastructure and professional knowledge) on which to forge a great takeoff. The conditions are favorable to implement these tools efficiently and without too much economic effort or training on the part of the teams.



PowerData - Data-fueled technology convergence: what to implement?

64 % of businesses believe that artificial intelligence will help increase their overall productivity. This demonstrates the growing confidence in the potential of this technology to transform business operations.

Source: Forbes


Technological convergence
Artificial intelligence, the Internet of Things (IoT), cloud computing and ultra-fast networks such as 5G are the cornerstones of digital transformation, and data is the fuel they use to generate results. These technologies exist separately, but combining them is the great challenge to break down limiting barriers.