Slack joins the AI fever and claims to have higher-quality data

If someone thinks of “2023” and “technology,” it’s hard not to think about Artificial Intelligence, one of the trendiest concepts in this field where all companies are seeking their share of the pie. In fact, Slack, in the words of its CEO, Lidiane Jones, has publicly positioned itself as another company to consider in the race for AI.

As a result, the CEO claims that one of Slack’s biggest advantages in this technology is that the company has higher-quality data than the competition to train its systems. Therefore, according to Lidiane Jones, all competitors should keep an eye on Slack’s progress to avoid falling behind.

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Direct competition for Microsoft

Lidiane Jones is a former Microsoft employee who took the reins of Slack at the beginning of 2023, making this her first year in charge. However, she doesn’t hesitate to claim that Slack is not lagging behind Microsoft in terms of progress in AI, even though the tech giant has made many advances in this area.

In fact, in recent weeks, we have witnessed how Slack has introduced a significant number of innovations for users, adding services and functionalities focused on productivity, as well as the core of its services, and these changes have been largely driven by Artificial Intelligence.

Slack has worked on improving its services through Artificial Intelligence.

AI in terms of productivity

One of the most useful aspects of AI-based functionalities is the improvements they can offer to office workers in terms of productivity. The ability to customize services and tailor them to each user’s needs allows each worker to work more easily and efficiently.

However, AI is a double-edged sword with risks. Just as it can be a very useful tool to assist in work, it can also be used to eliminate jobs and allow large companies to increase their profit margins.

This is already happening today, with companies laying off qualified professionals, even though the quality of their end product may be compromised because generative AI has often backfired on companies when used improperly.

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Author: Daniel García

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