More than ever, companies need to access, manage and structure the data they generate, with a focus on improving procedures and cybersecurity. This must happen because IAG is capable of generating new data examples that resemble existing ones.
In this sense, it is necessary to expand analysis and decision-making capabilities. data-driven, with the aim of improving the customer experience, at the end of the process chain.
For this reason, Toccato became aware of the france phone number list analyzed byGoogle Cloudand published in the document: Data and AI Trends Report 2024 – The Impact of Generative AI. In this article, we will explore the predictions and how customized solutions can help your business stay ahead of them. Check it out:
Generative artificial intelligence as an accelerator in the production of insights ;
The boundary between the role of data and AI will be less clear;
Artificial intelligence innovation depends on data governance;
Operational data will unlock the potential of generative AI for enterprise applications;
Rapid modernization of data platforms;
Include your company in artificial intelligence trends with Toccato.
Generative Artificial Intelligence as an accelerator in the production of insights
One of the goals of artificial intelligence is to democratize access to and understanding of data. And this is precisely a trend highlighted by the Google Cloud report for 2024.
Using generative artificial intelligence, a company's employees will be able to have a complete understanding of information, without the need for mediation by an analyst specialized in the subject.
This way, the end user will not feel isolated from the data. Quite the opposite! It will be possible to interact and even “talk” to it.
This reality may seem distant, but according to the overview presented, 52% of non-technical users already use IAG to produce insights . Of those who do so, they are in the following areas of activity:
62% are from marketing, advertising or public relations;
47% are sales;
42% are from operations;
41% are product management;
37% are human resources;
36% are from finance and accounting;
33% are customer service and accounts;
32% are commercial development;
23% are from the administrative sector;
19% work in logistics;
16% are from the security sector.
The line between the role of data and AI will become less clear
With the democratization of data understanding, as mentioned earlier, the boundary between the use of artificial intelligence becomes less clear.
The speed at which companies can analyze information has increased, which has led to the unification of sectors that previously worked separately.
See the example: When data is simplified, through the union of indicators and production of insights , analysts and data scientists can focus on working on issues considered more complex, which require specific skills from them.
It is important to emphasize that artificial intelligence can break down boundaries, but it does not erase them. A travel agent, for example, may feel threatened by AI, which can create complete itineraries for any destination. Despite this, with the professional's knowledge, he or she can create a unique experience for the client.
Another way to include IAG is through data analysis, regardless of the format it is in. Analyzing information that is structured in a spreadsheet is easier than comparing videos, photos and social media posts, for example.
However, new technologies should simplify the process of finding relevant information, identifying patterns and trends, and grouping unstructured but similar data.
In this scenario, the important thing is to stay up to date and not be oblivious to the data.
Artificial intelligence innovation depends on data governance
The universe of data is expanding and the use of artificial intelligence should enhance this panorama. Despite this, it is not enough to simply analyze the information made available by technologies. It must be treated with well-defined protocols, following governance.
According to the trends report of theGoogle Cloud, this practice is still far from reaching a satisfactory level: 66% of companies have at least half of their data in the dark.
When asked about the quality of information, 45% of organizations say they have only “moderate confidence” in it; 11% have “little confidence.”
Those who are taking steps to change this scenario have done the following:
Building a data-driven culture;
Centralize oversight of data governance;
Develop monitoring, management and auditing actions.
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Operational data will unlock the potential of generative AI for enterprise applications
Companies hope that artificial intelligence will be able to integrate with databases to improve the usability of corporate applications. When this happens, it will be possible to provide accurate and up-to-date information and create experiences at a low cost.
According to the Google Cloud report, this is a major differentiator of generative artificial intelligence: the development ofpersonalized experiencesfor users.
Rapid modernization of data platforms
The advancement of artificial intelligence has shown companies how outdated they are in the market. Mainly, the delay in legacy databases becomes a concern, as they cause frustrating user experiences and are tied to old technologies.
However, just as AI demonstrates this problem, it can also fix it. It makes data migration platforms smarter, achieving a more efficient level of programming for programmers.
Include your company in artificial intelligence trends with Toccato
Toccato has expertise in data analysis, Business Intelligence and continuous innovation. With over a hundred success stories, it provides the ideal consultancy for your company to grow and stay ahead of the trends.
Achieve the best results and generate a positive impact on your business with Toccato.