Proven Generative AI for Enterprises: DataGenie
Note: This post is a personal post, not related to or endorsed by my employer.
I find ChatGPT to be amazing, but it’s not built for a business that wants to keep its own data private. With hallucinations and its need to learn from the user, it is a risky tool for the stable business. Which is where I found a technology called DataGenie excels.
DataGenie is what ChatGPT could be in the future – for the Enterprise customer.
With DataGenie, we don’t need to ask questions – it finds the answers the business should be asking questions for.
Yes, we can use conversational agents to ask those questions, and it responds as expected – except the data DataGenie is responding with is private, Enterprise data that ChatGPT and others don’t have access to.
A few years ago, MK, an entrepreneur who had worked with me previously, brainstormed with me on what businesses would need from AI in the future. Enough has been said & done about Democratizing Data and it was time we Democratized Insights. He and his team have built that tool – DataGenie, deployed it in multiple large enterprise businesses and looks like the clear leader in Enterprise AI today, from everything I have seen. Gartner recognised DataGenie’s potential and has endorsed them in many of its reports in this category.
Generative Artificial Intelligence used by the general public (ala ChatGPT) is a conversational agent that is able to answer queries based on its vast trove of data and information, almost like a human would. However, today’s Generative AI is not trained on up-to-the-date data yet, its results are not reliable or scalable for an Enterprise application. And any data submitted to Generative AI today becomes part of its trove of data – which can be used to answer any questions by any user. Even ChatGPT has suffered from “hallucinations” and security breaches in its short public life, and Google’s Bard have suffered spectacular failures already, rendering them inadequate for business applications at this time.
Generative AI for Enterprises requires at a very basic level:
– An understanding of up to the minute data from inside the Enterprise
– Combined with real time data from other sources
– Large Language Models (LLMs) that are capable of understanding and responding to complex natural language queries
– Secure and Safe access to the data on a need-to-know basis
However, to be a strong ally of a business, Generative AI needs to be able to understand the patterns in the data, and the actions taken by business – to be able to provide answers to questions before they are even asked!
DataGenie’s Gen-AI system has been able to help businesses by removing the need for their analysts to track their numerous business metrics with multiple dashboards, spend hours detecting the issues and reasoning out their drivers and still have enormous blind spots. Instead, DataGenie intelligently tracks all important business KPIs or Enterprise metrics that must be watched – and autonomously delivers a few data stories directly to the business users covering all important metric changes along with their root causes.
And it does all of this while doing all the things Enterprise AI should do – as mentioned above. I strongly endorse this product in my personal capacity as the DataDon.
This is why, as I start a new career journey, I want to share a shout out about something I’ve used in the past, and have been proud to have been far ahead of the competition – I wish great luck and success to MK and DataGenie ahead.
#GenerativeAI #AugmentedAnalytics #DataGenie
