Global Launch of Generative AI Engine Set to Revolutionise How Businesses Access and Utilise Their Data

Generative AI Data Fabric specialist Stratio BD, Stratio Gen-AI is a world-first generative AI engine designed to solve one of the biggest data management issues facing businesses – giving any worker easy, quick, and secure access to any information they require regardless of technical know-how.

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The technology utilises a Large Language Model (LLM) with a user experience similar – but unrelated – to that of globally successful ChatGPT, enabling it to deliver information and data insights in easy-to-understand, human language, as well as understanding varying user language. This includes anything from various native tongues to different technical and literacy abilities, in order to provide the most relevant and accurate response.

This also ensures any user in all departments can effectively ask any question and Stratio Gen-AI will provide the answer instantly, rapidly improving productivity while enhancing each department’s ability to make informed decisions based on insightful data. For example, it eradicates the need for teams to download multiple reports from different applications and amalgamate them into a single spreadsheet, as well as avoiding the often lengthy waiting time it takes for data analysts to compile reports.

The new conversational tool is the final piece in the puzzle for Stratio BD’s vision to democratise data with its Generative AI Data Fabric offering: an AI-driven, end-to-end data management product designed to break down traditional barriers to data access, enabling businesses to simplify data analysis, automate tasks, and ultimately make better, more informed decisions that benefit the bottom line.

Oscar Mendez-Soto, CEO and Founder of Stratio BD said: “No matter what department you work in, whether it’s sales, HR, legal, marketing, or operations, your work will always be governed in some way by the most up-to-date and accurate data available to you. The Stratio Gen-AI engine is revolutionary for businesses as it empowers teams to use insights that would otherwise be either inaccessible, incomplete, or only possible for a data scientist to retrieve and understand. The use cases for how businesses can utilise this tool to improve and streamline operations are immeasurable.”

From day-to-day questions a manager would otherwise ask their team, to the more complex that would require a full data report from the technical teams, Stratio Gen-AI cuts out any obstacles for users to maximise their performance while reducing the need for administrative reporting. For example: sourcing a sales forecast; identifying the company’s most popular products that month; or forecasting which customers are a flight risk, are now all possible by asking a simple question to Stratio Gen-AI.

Often, businesses struggle to obtain true meaning from data as it is stored in siloed locations or across multiple applications. But because Stratio Gen-AI sits above a unified business data layer created by Stratio BD’s Generative AI Data Fabric product, the engine is able to access all of a company’s data in one view and simultaneously get an answer which is understandable in context to the business.

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Stratio Gen-AI is a closed-source interface that businesses can safely use without any risk to data security as the data does not leave the company’s systems. Equally, thanks to the governance and role-based access to data already enabled by Stratio BD’s data governance module, users of the Stratio Gen-AI  can only access data that is relevant and unrestricted to their position in the business.

The tool uses deep learning techniques to understand, summarise, generate, and make forecasts from large data sets. In particular, enterprises that stand to benefit the most are those that normally handle large volumes of data at scale, such as the financial, manufacturing, retail, telco, the public sector, and health and life sciences.

The engine is now available and in high demand, with a number of Stratio BD’s clients within the financial industry already starting to use the tool, including household name, high-street banks.

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