Get your organization Generative AI ready

Boost your prompt intelligence & governance with illumex Omni

Anat Stein illumex

Anat Stein

10:52

What are my top 10 customers in Germany?

Inna Tokarev Sela illumex

Inna Tokarev Sela

10:56

Can I see the total of expansions this year?

Hila Raam Vagman illumex

Hila Vagman Raam

10:59

How do we define a lost loan?

Custom language models as intelligent questioning helpers

Anat Stein illumex

Anat Stein

10:51

What are my top 10 customers in Germany?

Inna Tokarev Sela illumex

Inna Tokarev Sela

10:56

Can I see the total of expansions this year?

Hila Raam Vagman illumex

Hila Vagman Raam

10:59

How do we define a lost loan?

We are on the brink of the era of generative AI, with ChatGPT spearheading the evolution. Organizations must address data quality and governance challenges before applying advanced generative AI tools to their data landscape. Otherwise, they end up with an even more expensive version of “garbage in, billions out.” illumex enables the hyper-automation wave scale by generating domain-specific interpretation and augmented governance.

Check out eBook by Eckerson which explores the emergence of LMs and LM-based tools as well as their implications for the discipline of data practice.

Transforming data integration with industry-specific generative AI

illumex reassures trust in corporate data:

First, the illumex platform automates data mapping and augments governance with domain-specific interpretation coupled with active metadata management monitors and controls.

Second, the platform interprets your prompt question, maps it to the respective semantic and data objects, translates the prompt to SQL and returns digested focused input to be used by 3rd party Generative AI services.

Third, illumex AI Assistant helps to navigate your data and analytics landscape and facilitates closer collaboration.

With generative AI, trust diminishes - you should take control of your input

Foundational Large Language models are trained on internet data. They lack your industry specifics and your organizational language understanding. LLMs hallucinate when they misinterpret your question or can’t map it to the right data.

You can’t reverse-engineer how the LLM black box works or validate every answer. But you can use illumex to interpret the questions in your own organizational context, map them to the right assets and send them as the context to the LLM model of your choice.

Unlocking value of corporate data with generative AI

Generative AI is set to revolutionize the corporate landscape. In just three years, over 25% of Fortune 500 companies’ revenue will be driven by a data product or offer, reflecting the rapid adoption of Generative AI. The trend is clear, with S&P Global 1200 Companies’ CEOs already discussing generative AI in their earnings reports, and 95% of employees expected to leverage its capabilities for task completion as early as next year. This transformative technology presents an enormous value creation opportunity, potentially adding $2.6 to $4.4 trillion annually to the global economy and boosting the impact of all artificial intelligence by 15-40%.

Generative AI is the future of data analytics

With illumex, you can send your data questions to LLM via Slack and get immediate reliable answers. Our engine:

  • interprets the prompt, matches it to the business data context of your organization;
  • maps it to the data and semantic objects, and a SQL query and sends it to the LLM;
  • interacts with you to provide transparency on the process, clarification in the case of ambiguity and assistance in asking follow-up questions.

illumex has been shortlisted as a semantic-AI vendor in the 2023 Gartner

In the Gartner report “Adopt a Data Semantics Approach to Drive Business Value“ it is recommended to:
• “Link data from different sources together by using common meaning in the data to drive a better understanding of business scenarios.”
• “Leverage semantics to satisfy a conceptual definition of data by addressing the widest scope of interpretation and the smallest bias toward implementation strategy.”
• “Adopt large language models (LLMs) to support faster deployment of semantics representations to overcome complexity in accessing critical information at scale.”

Related Resources

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Enterprise Generative AI at Scale

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The First GPT-Based AI Assistant For Data Catalogs Announced

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