Category: Blog
Announcing: Seamless AI Querying with Bedrock & Verodat Integration.
We are thrilled to introduce an exciting new feature for our Verodat users: Bedrock Integration. This allows you to connect Verodat to Bedrock, enabling easy access to multiple language models (LLMs) via Amazon Bedrock’s unified interface.
The result? A smarter, faster, and more efficient way to leverage AI for data management and querying, with your AI Ready Data, all from a single platform.
Why Connect Bedrock to Verodat?
Connecting Verodat with Bedrock brings together the strengths of both platforms, offering unparalleled flexibility and ease in managing AI workflows. With this integration, we simplify how you can connect your Verodat AI ready data to the right AI model for any specific task without the hassle of infrastructure management. Ensuring that you always have full provenance on your AI execution.
Here’s a quick breakdown of what makes this feature a significant change:
Unified Access to Multiple AI Models
Different AI models come with their own strengths. With Bedrock’s integration into Verodat, you can easily switch between models based on your needs. Whether you’re running small queries or handling complex data visualisation, you can always select the model that best fits the task—whether it’s speed, accuracy, or specialisation.
For instance:
- Claude Haiku is an ideal choice for handling lightweight queries where speed and efficiency matter most.
- Other models might excel in complex data visualizations or processing-intensive tasks.
This gives you flexibility and precision, ensuring you’re always using the right tool for the job. As an added bonus, as new more powerful models are released you can simply swap out the model and avail of the latest upgrade.
Simplified Configuration
Say goodbye to the complicated setup processes and managing multiple infrastructures. Verodat now lets you seamlessly interact with different AI models in Bedrock from one interface—no need for endless configurations.
Optimized Performance and Cost Efficiency
Using the right model for the right task not only improves performance but also optimizes costs. By selecting models based on the processing power required, you can save time and money without compromising on output quality. For example, lightweight models like Claude Haiku are perfect for quick responses, while more specialized models can be selected when needed.
No More Infrastructure Replication
In a traditional setup, connecting to multiple AI models requires duplicating infrastructure for each one—a time-consuming and costly effort. Verodat eliminates this headache by providing a single, clean connection point to Bedrock, enabling seamless access to all the models you need. It’s a major boost in efficiency, especially for teams managing large datasets or working across multiple AI-driven projects.
Workflows and Queries Simplified
Verodat’s new integration also means you can structure queries, instructions, and workflows in a more streamlined manner. You can manage everything from one central interface while still tapping into the diverse capabilities of Amazon Bedrock’s models. Whether you’re conducting a simple query or orchestrating a complex workflow, the integration allows for smooth AI querying without needing to switch between tools.
Get Started Today
With the new Bedrock integration, Verodat users can now take advantage of powerful AI capabilities like never before. Effortlessly switch between models, reduce configuration time, optimize costs, and manage everything from one platform. The future of AI-driven data management is here, and it’s simpler, smarter, and more efficient than ever.
Verodat ensures your data has data has context, supply status and attribution, the crucial elements that AI Analytics need to create trusted results. This AI Ready Data allows you to get AI analytics tools working in your business, easily and quickly, for verifiable and defendable outcomes.
Verodats new Bedrock integration is already powering operational workflows for our clients and accelerating their AI adoption and effectiveness in their business. Ready to see how Bedrock and Verodat can transform your AI workflows? Get in touch with one of our experts.
Check out some of our additional resources and find out why the future of AI for business depends on data.
Podcast | The Right Data, The Right Way with Verodat
Verodat CEO Thomas Russell recently caught up with Raghu Banda on his podcast – XTraw AI. The discussion looks at how AI Ready Data is key and how to ensure your AI systems are fed with the right data, the right way.
- Discover how to master the data supply chain to enhance AI accuracy and decision-making.
- Learn about the importance of contextual data, continuous supply, and proper attribution for reliable AI outcomes.
- How to get the right data at the right time.
You can listen to the full episode here
Check out some of our additional resources and find out why the future of AI for business depends on data.
A New Model for Data Management to Get AI Working in Your Business.
We love AI. We believe it is transformative, and will have as much impact on how we work as the arrival of the internet.
What we don’t love however, is the notion that getting AI working in your business is complex, requires deep tech expertise and is ultimately untrustworthy for analytics.
This is simply not true.
Getting AI working in your business isn’t complicated. Getting AI working with your current data management processes is where the complexities, difficulties, expense and lack of trust start to arise.
Instead of trying, and ultimately failing, to marry the old world of data management with the new world of AI, we have brought the two together in a simple, easy to follow, Lean Data Management for AI Framework.
Not ALL Data, the RIGHT Data.
Our Framework allows organisations to move away from trying to corral all the data they have and instead focus simply on the data their AI needs.
For AI to be effective, it requires the right data. Data that is context-rich, continuously supplied, and reliably sourced.
For AI to be trusted, the outcomes must be verifiable, have full provenance and be defendable.
The Lean Data Management for AI Framework is designed to meet these needs.
The Framework
Our lean approach to data management for AI, allows organisations to quickly understand their data and deploy AI benefits across their organisations in a fraction of the time it would take to even begin to scope a traditional data management programme.
We illustrate how the journey from a business problem to a working AI solution should progress. By addressing data challenges and reaching an enriched data layer through a data supply chain, the framework paves the way for effective AI applications, ultimately driving innovation and better decision-making within any organisation.
All within familiar business tools like Excel or GPT’s and without the need for large analytics teams or deep tech expertise.
Download The Framework.
We have made our Framework fully open and available for download.
Next Steps.
At Verodat, we work with organisations from a variety of industries to easily help them implement this framework in their organisations and allow them to start their AI journey without complication. Allowing them to get the most out of AI analytics tools, faster, safer and with a lower total cost of ownership. Saving them time and money, and making life easier for them and their teams.
If you would like to know more about how this could work for your businesses, please get in touch.
Check out some of our additional resources and find out why the future of AI for business depends on data.
Media | Newstalks Breakfast Business Show
Verodat CEO Thomas Russell appeared on Newstalks Breakfast Business Show to discuss our recent launch and the relationship between data and AI.
AI Ready Data – The Key to Valuable AI for Business.
Businesses are making leaps and bounds in the area of AI Analytics, once they have AI Ready Data.
In a recent interview with Newstalks Breakfast Business Show, Verodat CEO Thomas Russell discusses the fatigue around the ‘AI Hype’ and how businesses can get real value from AI today.
Curious to learn more? Check out the full interview with Newstalk here.
Check out some of our additional resources and find out why the future of AI for business depends on data.
Olympic Data Analytics GPT
As the Olympics reach fever pitch, we’ve been taking a look at the flurry of activity on our Olympics Analyst GPT over the last few weeks.
It has been amazing to see the amount of people who have embraced the GPT and even the biggest sceptics of AI for Analytics have been blown away by its power, when you’re dealing with AI ready data.
The sheer volume and diversity of queries reflect the unique demands and curiosities that arise during such an event, and GPT’s ability to process and respond to these in real-time has been impressive.
Access The Olympics
Data Analytics GPT
Get your questions ready! Let us know what you uncover
#VerodatOlympics
Usage Stats & Query Trends:
- Volume: Nearly 1,000 users have run almost 10,000 queries, showcasing the high engagement.
- Peak Interest: Marquee events like the 100m and 200m sprints are drawing the most queries, with other sports seeing spikes during their peak times (e.g., swimming in the opening weeks).
- Popular Query Types: There’s a significant interest in male vs. female performance comparisons, especially regarding the narrowing performance gap between genders.
Interesting Queries:
- Performance Trends: Users are examining trends like the reduction in winning times in the men’s 100m, with a noted average improvement of 0.1 seconds per decade.
- Doping Disqualifications: Some queries focus on countries with the highest doping disqualifications and the subsequent impact on their future performances.
- Historical Comparisons: For instance, during a live 100m event, there was a query about the closest finishes in Olympic history, with 1952’s 0.10-second margin being notable until this year.
- Demographics of Winners: A quirky yet intriguing finding is that Leo is the most common star sign among champions.
- Home Advantage: Data indicates that athletes from host countries are three times more likely to win a medal.
- Hidden Gems:: Interestingly, there were two track and field events in the Moscow Olympics where women outperformed men.
What can we learn from the Olympic Analyst GPT for the world of Business Analytics?
- Accessibility: The tool’s ability to quickly respond to natural language queries is empowering users to get insights directly, without needing complex reports or heavy technical input. This goes beyond ‘chatting to your data’, it is offering analysts the opportunity to interrogate their data.
- Real-time Analysis: The ability to respond to live events and rapidly shifting interests highlights the agility and responsiveness of GPTs. For example, we noticed a lot of queries focusing on athlete age data, which we hadn’t initially included. We were able to quickly add this new data set without having to rebuild reports or analytics. For business, this can open up a new form of flexibility and market responsiveness never before available.
- Tuning: As analysts know, anything less than 100% accurate is wrong and once analysts passed the initial ‘playing around stage’ of the GPT they realised that ‘verified queries’ were the protection needed to change this from a gimmick to a very valuable analytics tool. Verodat provided a number of ‘human verified’ queries, offering 100% trust in the accuracy of the answers and full provenance on the data involved. We also offered an option to get your own query verified, an option we saw a big jump in people availing of as they got more familiar with the tool.
- Imagine this was MY data: A key thing to emerge from the use of the Olympics Analyst GPT has been an appreciation of what this kind of tool could do for users’ own analytics needs. We have been contacted by many users with one simple question – can we swap out athletes, times and Games data for information about my business? The answer is yes. Our clients user Verodat to get their data AI ready, allowing them to very easily use this kind of tool for their own business. Instead of questions about the trends in the long jump over the last 120 years, they can perform complex risk analysis with the same ease.
Want to see what this could look like for your business? Get in touch.
While the Olympics Analyst GPT has been lot’s of fun, it also illustrates just how GPT’s are being pushed to their limits in a real-world scenario, handling a variety of questions that span performance analysis, historical data comparisons, demographic insights, and even astrological curiosities! When AI Ready Data is included, the possibilities are even more exciting, giving you an easy to use, fast AI tool without the need for deep tech expertise to embed it in your business. Verodat ensures the supply status, context and attribution of the data are available to AI, giving you full confidence in the accuracy of the outcomes.
Media | Tech Central Article
TechCentral’s latest feature highlights our innovative AI-driven solution designed to make complex data more accessible and engaging. Whether you’re a sports analyst, researcher, or just an Olympic enthusiast, Verodat’s tool empowers you to ask questions and receive insights in real-time, from medal counts to athlete performance trends.
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.
Check out some of our additional resources and find out why the future of AI for business depends on data.
Data Management in Insurance for the AI Era
The insurance industry stands on the brink of transformation with AI, promising streamlined operations and increased efficiency. However, many companies struggle with outdated data management practices that hinder AI’s full potential. We believe a modern, agile approach to data management, in familiar tools like Excel, is the answer to ensuring insurance firms can leverage high-quality data to unlock AI’s benefits.
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.
Check out some of our additional resources and find out why the future of AI for business depends on data.
Olympic Data Analytics GPT from Verodat
The Olympics are in full swing and here at Verodat, we’re ramping up the games discussions with the launch of our new GPT – Olympic Data Analytics.
There is a lot of scepticism around AI for analytics and a lack of trust in outcomes but we want to change that. With the right data, these GPT tools are incredibly powerful.
There is such interest in the Olympic Games and with almost 130 years of games info (and over 300k rows of data) we thought this was a perfect opportunity to give people a chance to play with this kind of AI analytics tool. It’s completely free – try it out!
Access The Olympics
Data Analytics GPT
Get your questions ready! Let us know what you uncover
#VerodatOlympics
What is it?
It’s your go-to AI chat for Olympics info! It’s like having a genius sports analyst at your fingertips, ready to dive deep into Olympic stats, records, and trends.
What Can It Do?
We’ve trained the GPT on some key Olympics stats (see below for a full list of what’s included). Not only will it be able to give specific answers, but it can do comparisons and give in depth analysis giving you a chance to uncover hidden facts, trends and stories from the history of the Games. Keep an eye on Verodat social media where we’ll be sharing the weird and wonderful things users come up with over the next few weeks!
What CAN’T it do?
AI is great BUT it depends on having the right data. For this GPT we’ve used the following information: anything outside of this can’t be accurately included in responses.
- Games details: Season (winter or summer) location of the games, the year.
- Event details: The name of the event, the sport category, the gender category (male, female, mixed) the full results per Games and unit of measure for the event (seconds, metres etc)
- Athlete details: Their name, gender, the country they represent, their results per Games and any doping disqualifications
So for example, the GPT will be able to compare winning times in athletics 100m for men vrs women from the 2020 Games right back to 1896, but as we didn’t include date of birth data, the GPT won’t be able to tell you the most common winning star sign!
A good rule of thumb – for this and most AI – the AI tool is only as good as the data it gets – if there are any additional data sets you think we should include – let us know.
Access The Olympics Data Analytics GPT
Get your questions ready! Let us know what you uncover #VerodatOlympics
How Is This Any Different From ChatGPT?
Accuracy
While ChatGPT offers responses across a broad range of topics, the Olympics Data Analyst GPT is finely tuned to provide more in-depth and accurate responses related to this specific set of Olympic Games data. It takes all the capabilities of ChatGPT but builds in lots of essential data elements that ensures the results are accurate.
Traceability
For this tool, lots of this data is publicly available, so ChatGPT will sometimes be able to give you a similar answer but you can’t see how ChatGPT arrived at its answer and if you can trust it. Verodats Olympics GPT is built in the same way we build business analytics GPTs. We’ve told AI exactly what the data is, where it came from and included all the bits AI needs to perform. So not only can you trust the outcome, you can actually determine the full data provenance – handy if you get fact checked on your new found Olympics genius!
Continuous Tuning
We have built specific queries into this GPT, which basically does all the data analytics work and prompting behind the scenes and have ‘human validated’ the outcomes. These queries are Verified by Verodat. This means that everytime you run this type of question, the answer is a) correct b) fully verified, and c) transparent and traceable.
This doesn’t mean these aren’t the only queries you can run though, the GPT can still provide incredible accuracy rates without being verified. You can also ask the GPT to explain how it got to the answer so you can check its logic for yourself. The beauty of analytics GPT’s with Verodat however, is that you don’t need a full engineering team to get your query verified – if you get an unverified answer, just click the link and our team will build the query in.
Right or Wrong:
ChatGPT can be right a lot of the time. The problem when you’re dealing with data analytics though is that anything less than ALL of the time time is not enough. Regular GPT’s will always give you an answer, filling in blanks when needed and you have no idea if the answer is right or wrong at any given time. With Verodats GPT, the ‘Verified by Verodat’ response gives you full trust that the answer is correct and if it’s not already Verified, it can be easily updated.
Don’t believe us? Go ahead and ask ChatGPT and Verodats Olympic GPT this question and see what happens – which countries have shown the biggest spike in medal success from one olympics to the next?
Video | Verodat Data Supply Chain in Action
Watch how Verodat offers a seamless connection between your business data and AI Co-Pilots and GPT tools.
Get the right data on your side.
Start collecting, preparing and supplying the right data automatically.
Verodat enables the right decision-making for your business.
Introducing | Verodat Data Supply Chain Platform
Welcome to Verodat.
Verodat is a user-friendly SaaS platform that ensures your data is AI-ready. We provide the right data in the right way to power AI to give you a deeper understanding of your business.
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.
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