Olympics GPT Highlighting Verodats Value.

No more sifting through endless spreadsheets or reports—our AI simplifies the process, offering instant, conversational access to the data that matters most. As you prepare for the next Olympic Games or reflect on past ones, Verodat’s AI Chat Tool is your ultimate companion for exploring the rich history and detailed stats of the world’s greatest sporting event.

Curious to learn more? Check out the full article on TechCentral here and see how Verodat is revolutionising the way we interact with data.

Business Challenge

In the AI era, the potential to automate and enhance both front-office and back-office operations in insurance is substantial. AI’s user-friendly technology can save significant time in completing key operations, representing a transformative opportunity for the insurance sector. However, harnessing AI’s capabilities heavily relies on the quality of the available data, and thus, the data operations in place.

Industry leaders often express frustration as they attempt to implement the clear benefits AI offers. Their data operations frequently fall short of meeting these challenges. We observe leaders doubling down on outdated approaches, resulting in extensive data programs, complex technology stacks, and prolonged delivery timelines that are poorly understood. These programs demonstrate action but rarely deliver results and are not designed for the AI era.

A modern approach to data operations in insurance starts with understanding complexity and applying the correct solutions. The complexity in insurance data management stems from the diversity of data sources (internal and external), various formats (structured and unstructured), and different delivery timeframes (real-time, daily, weekly, monthly) that need to be integrated and managed.

Managing this data supply is crucial in the AI context, where data provenance and explainability are key to ensuring safe deployment. Additionally, the rapid changes in suppliers, systems, and technologies in the insurance ecosystem necessitate a swift and efficient data operations approach.

The Solution

At Verodat, we have focused on this challenge and developed a lean approach to data management for AI, allowing our clients to quickly understand their data and deploy AI benefits across their organizations. Our data operations approach enables companies to deliver value at the required speed and brings their teams along on the journey.

Insurance is a highly skilled industry with deep expertise embedded in business teams, making business team adoption critical for any new innovation. Our approach empowers business users, enhancing their capabilities with AI while leveraging tools they are already familiar with.

Key Components of Verodats Approach

• AI-Ready Data Management Platform: Our platform, Verodat, manages data from suppliers to an AI-ready data layer. It is designed to be user-friendly and inclusive of business teams and partners, saving time in preparing data for AI applications.

• Excel Integration: Our Excel plugin, combined with Excel Co-pilot, enables teams to access AI-ready data, build insights, and share accurate and refreshed reports without the hassle of data preparation. This unlocks Excel’s full potential to support the entire team in building effective applications.

• LLMs Deployment: Safely deploy and use Large Language Models (LLMs) to capture natural language queries from the business, returning answers with full data provenance, thus leveraging AI’s full capabilities while mitigating risks.

• Query Bank: Over time, learn the queries your business users ask, understand what data is missing, and quickly add it to your Verodat data layer. This addresses real-world needs rather than hypothetical workshop scenarios, providing new insights into operational requirements.

• Reports and Insights: Develop reports and insights directly delivered to end-users. Utilize AI to spot triggers and alert the right people with the right information, enabling timely and informed decision-making.

• Access to Latest AI Innovations: Unlock AI innovators building new models compatible with your AI-ready data. Easily integrate these advancements into your business, accessing cutting-edge data science capabilities as a service.

Conclusion

This journey is now achievable. We work with clients across the insurance industry to help them navigate and benefit from AI-driven data operations. Reach out to learn more and start your journey with Verodat.

Contact us to discover how our data management solutions can transform your insurance operations, making them more efficient, accurate, and ready for the AI era.

Who Are We?

Ever before AI entered the workplace, the people behind Verodat were in the business of solving data problems. We’ve spent over 12 years working with business leaders to help get the most out of their data. For most of that time, we were refining a design system to help us build solutions. Faster, cheaper and more reliable for our clients.

We soon realised many data management processes were flawed. As the big data movement grew, so did the scope of data projects. Companies without access to large data ops or analyst teams were unable to achieve what they wanted from their data. In order to fix this problem, we have spent years fine tuning a new approach, flipping how data quality is addressed. Allowing data to be efficiently managed by all stakeholders.

Enter AI

While AI had long been creeping into business tools, the arrival of Gen AI in 2022 took things to a whole new level. The initial hype of promised revolutionary applications for business was quickly dulled by a single realisation. AI technology might have taken a leap forward but data management process were firmly stuck in the past.

We quickly identified that this disconnect was a critical blocker to AI adoption. Without the right data, delivered the right way – trusted AI adoption was almost impossible.

For the last two years we have set out to remove this blocker, further adapting our data supply chain platform to meet the needs of AI. We spent time in Harvard-MIT, worked closely with business leaders, data analysts and AI builders and are proud to launch Verodat. The Supply Chain Platform bringing your business data to AI.

What Does Verodat Do?

Put simply, Verodat gathers and prepares your data so it can be safely used by AI analytics tools to solve practical business problems, faster.

For AI to work, it needs more than good data, it needs enriched data that has context, supply status and attribution. Many traditional data management processes cannot provide this enrichment without large scale, expensive analyst projects. Verodat has removed this burden by offering a single platform for a streamlined data supply chain. Verodat is easily used by any organisation, regardless of their inhouse resources for data management.

This ultimately ensures a steady flow of safe, enriched data into whatever AI tools a business wishes to use.

What’s Next

Stay tuned for lots of exciting updates coming over the next few weeks. We will be sharing some behind the scenes of our recent launch in the home of AI Innovation, San Francisco.

We also have some exciting working examples of Verodat and AI in action on the way, some of which will be open to everyone to play with.

Make sure to sign up to our newsletter below to be kept up to date.

Securing Funding for the Future of Data and AI.

As highlighted in the article, Verodat has successfully secured significant funding, which marks a pivotal moment in our company’s journey. This financial boost will empower us to expand our cutting-edge platform, ensuring that businesses can easily get their data AI ready and get AI working in their organisation.

The backing we’ve received is a testament to the growing recognition of the importance of high-quality data in the AI landscape.

Driving Innovation

The article also sheds light on how with the new funding, we are set to enhance our technology, scale our operations, and extend our reach to more businesses that require robust data solutions.

Our team is dedicated to continuous innovation, ensuring that our platform evolves in tandem with the ever-changing demands of AI and machine learning.

Looking Ahead

We are excited about the opportunities that lie ahead and are grateful for the support we have received from our investors and partners.

For more details, you can read the full article here.