*By Alexandre Tunes, Country Manager of InterSystems Brazil
In a data-driven world, companies face the challenge of transforming the growing volume of information into practical and actionable insights. In this scenario, Artificial Intelligence (AI) has emerged as a powerful tool, helping organizations not only to process large amounts of data (big data), but also to transform it into agile and well-informed strategic decisions.
Able to analyze data at a scale and speed impossible for humans, AI becomes the catalyst for informed decision-making. It can identify hidden patterns and trends in real time, allowing for faster, more informed course adjustments – crucial in competitive markets where adaptability can be the difference between success and failure.
By integrating this technology into their operations, they can automate data analysis and decision-making processes. A practical example of this is the use of machine learning algorithms to predict future demand, optimize supply chains, or personalize marketing campaigns based on consumer behavior.
The power of generative AI and semantic search
Among the emerging technologies that are shaping the future, generative AI stands out with flying colors. It allows companies to create new content—text, images, and even predictions—based on existing data. A fascinating aspect of this model is its accessibility: anyone, with a simple text command, can generate sophisticated results, which democratizes the use of AI.
A significant innovation within this field is the Vector Search, introduced by InterSystems in its InterSystems IRIS data platform. Vector Search enables companies to search and analyze data based on its semantic meaning, rather than just exact keywords. This technology is especially valuable for overcoming limitations of large language models (LLMs), such as their inability to handle stale data or their limited ability to process large amounts of information (tokens).
This opens up new possibilities for strategic decision-making, especially in industries that deal with complex information, such as healthcare, finance, and manufacturing. In addition, it enables the implementation of retrieval-augmented generation (RAG) architectures, which further improves the ability to generate accurate insights.
From data to actions
Artificial intelligence gives businesses the ability to turn raw data into actionable strategies almost instantly. The process involves collecting, analyzing, and interpreting data, followed by making actionable recommendations. For example, in an industry like retail, AI can analyze purchasing patterns in real time and suggest price adjustments or promotional offers to maximize sales.
By applying tools like Vector Search to this model, the entire process is enhanced by the possibility of working with the context of the information. In practice, it is possible to perform queries that capture the essence of the data, quickly transforming large volumes of information into strategic insights.
Additionally, predictive AI, combined with this solution, enables organizations to anticipate changes in consumer behavior, market trends, or even equipment failures. This combination provides a competitive advantage by allowing companies to not only identify patterns, but also act on richer, more contextually relevant data. Essentially, they will react before problems occur.
The Future of AI Decision Making
AI is transforming the way businesses use big data, not just to understand the past, but to shape the future. Technologies like generative AI and vector search are pioneering this revolution, enabling organizations to search more accurately, analyze data in greater depth, and most importantly, make strategic decisions quickly.
As AI continues to evolve, companies that invest in its implementation and enablement will be at the forefront of innovation, ready to turn their data into strategic actions that drive success.
* Alexandre Tunes, Country Manager at InterSystems Brazil
Notice: The opinion presented in this article is the responsibility of its author and not of ABES - Brazilian Association of Software Companies
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