Get ready to revolutionize the way you think about language models and generative AI. Uljan Sharka, founder and CEO of iGenius, has spent the last seven years diving deep into this technology. But he’s discovered that it’s not just about the tech – it’s about serving human needs. And that’s where iGenius comes in.
At VB Transform 2023, Sharka sat down with VB CEO Matt Marshall to discuss the complexities of enterprise language models and why iGenius has taken a unique approach with their virtual advisor, crystal. Unlike other AI systems, crystal focuses on responding to data-related queries, not just content. This means that even teams with low data literacy can make better, faster data-driven decisions every day.
“Language is the key to humanizing technology,” Sharka explained. “But we need to evolve our implementation. We can’t just focus on language models alone. Enterprise-level challenges require a more comprehensive approach.”
Changing the LLM paradigm from the ground up
Every company has valuable data, but not every team can access or interpret it. iGenius aims to change that. “Our vision is to use language as the future of the interface,” Sharka said. “But we quickly realized that we needed to address the complexity of enterprise-level data.”
While language is a crucial part of the solution, it’s only a small piece of the puzzle. iGenius combines data science, machine learning, and conversational AI into a single system called composite AI. This approach tackles the challenges of gen AI systems, such as outdated answers and security issues.
With crystal’s AI engine, companies can leverage the power of generative AI while maintaining control over their private data. Crystal’s incremental learning component ensures that the system continuously evolves without starting from scratch. It adapts to individual users’ needs and offers real-time assistance and suggestions.
“We’re not just providing answers or visual information,” Sharka emphasized. “We’re creating a personalized experience that adapts to each user’s interactions.”
By making AI accessible and user-friendly, iGenius aims to democratize information for everyone. They understand that not all users are data-skilled, and their design focuses on guiding users through specific use cases. Companies like Allianz and Enel have already embraced this approach.
Designing LLMs of the future
As enterprise gen AI platforms evolve, iGenius believes that recommendation engines and asynchronous components will be key to closing the skills gap. These components enhance the user experience and ensure that users can fully utilize the technology.
“Recommendation engines will hyper-personalize the experience and guide users towards safe and relevant use cases,” Sharka explained. “And with asynchronous data science, users can communicate with the technology just like they would with a data scientist.”
Imagine having crystal reach out to you with important insights from your data. That’s the future iGenius is building.
Improving the accuracy of data analysis has been the goal of enterprises for many years. As businesses become more reliant on data-driven decisions, the need for accurate, timely analysis of vast amounts of data has increased. The challenge faced by enterprises is finding the right language models to deliver accurate insights quickly. Enter iGenius, a leading technology company that has revolutionized language models with its GPT for Numbers software.
GPT for Numbers is an AI-powered language model designed to extract insights from enterprise data. It utilizes natural language processing (NLP) and self-learning algorithms to automatically generate detailed reports from structured and unstructured data sets. By leveraging proprietary algorithms and cutting-edge AI technologies, GPT for Numbers offers unprecedented speed, accuracy, and scalability.
The software can be used to generate highly accurate and actionable intelligence from massive data sets. It enables businesses to easily monitor key performance indicators and identify opportunities for better decision-making. GPT for Numbers also offers deep learning capabilities that allow users to gain insights from data without manual intervention. Its self-learning algorithms continuously improve with exposure to new data sets.
GPT for Numbers is the first language model designed to empower enterprise data with AI. It enables enterprises to apply natural language processing and self-learning algorithms to large data sets. The platform delivers a comprehensive solution for data analytics, machine learning, and deep learning applications. It offers users a flexible and intuitive interface that enables them to quickly generate detailed reports without writing code.
By revolutionizing language models with GPT for Numbers, iGenius is revolutionizing the way enterprises store and analyze data. The platform has been designed to empower enterprises with fast, accurate, and actionable insights into their business operations. With GPT for Numbers, enterprises can make informed decisions and stay competitive in today’s ever-growing data landscape.
