Microsoft and Verodat

The key to unlocking the true value of Microsoft Co-Pilots is AI Ready Data and Verodat is the leading platform in just that – getting businesses data AI Ready.  

Verodat, coupled with this new wave of Microsoft Co-Pilot can power an entirely new, efficient and less expensive operating model for businesses. 

The New Microsoft Co-Pilots: What’s Changing? 

Microsoft Co-Pilots are evolving far beyond simple virtual assistants. These AI-powered tools are now capable of not only automating tasks but also generating deep insights, making recommendations, and even producing comprehensive reports. They can analyse trends, identify patterns, and provide predictive analytics—all without the need for human intervention. 

For example, imagine asking Microsoft Co-Pilot within Excel to create a detailed sales report or predict revenue trends for the upcoming quarter. In seconds, it gathers relevant data, processes it, and delivers a comprehensive, AI-generated report. But while Co-Pilots promise significant advancements, their performance is still directly tied to one crucial factor: the quality of the data they are working with.  

The Impact on Analytics and Reporting 

With the introduction of Microsoft Co-Pilots, the analytics and reporting landscape is about to undergo a radical transformation. Here’s how: 

• Enhanced Predictive Analytics: One of the standout features of Co-Pilots is their ability to harness machine learning to identify trends and predict outcomes. Whether it’s forecasting sales, detecting potential operational bottlenecks, or analysing customer behaviour, businesses can rely on AI to provide forward-looking insights. 
• Seamless Reporting Automation: Co-Pilots can automate routine reporting tasks, freeing up analysts and decision-makers to focus on strategic initiatives. Complex reports, financial summaries, and operational dashboards that once took days to compile can now be created in a matter of minutes. 
• Natural Language Querying: Users no longer need advanced technical skills to engage with data. Co-Pilots enable natural language queries—meaning employees can ask questions in plain English and get detailed, data-driven answers. This democratises data access, enabling everyone in the organisation to tap into insights without needing deep technical expertise. 

Why AI-Ready Data is Key: Verodat’s Solution 

While the potential of Microsoft Co-Pilots is undeniable, they are only as good as the data they work with. AI tools thrive on clean, structured, and high-quality data. Poor-quality data—whether incomplete, unstructured, or inconsistent—can significantly hamper the effectiveness of Co-Pilots, leading to inaccurate insights, flawed predictions, and misguided decisions. This is where Verodat’s AI-Ready Data comes into play. 

Verodat helps organisations get their data AI Ready, without the need for large data projects. Our SaaS platform is designed to ensure that businesses are equipped with high-quality, structured, and reliable data, ready to be used by advanced AI tools like Microsoft Co-Pilots.  

Here’s how Verodat helps ensure the success of AI-powered analytics and reporting: 

• Data Cleansing and Structuring: Verodat’s platform automates the process of cleaning and structuring data. This means removing duplicates, filling in missing values, standardising formats, and ensuring consistency across all data sources. Clean, structured data is critical for Co-Pilots to function effectively and deliver reliable insights. 
• Data Integration: Most businesses today operate in complex data environments, with information spread across multiple platforms and formats. Verodat integrates disparate data sources—whether from CRM systems, financial platforms, or operational databases—into a unified, accessible dataset. This unified view is key for Co-Pilots to perform accurate, cross-functional analysis. 
• Real-Time Data Readiness: For organisations looking to leverage Co-Pilots for real-time analytics, the data must be continuously updated and accessible. Verodat ensures that businesses have near real-time, accurate data at their fingertips, empowering Co-Pilots to provide up-to-the-minute insights. 
• Scalability and Flexibility: As businesses grow, so do their data needs. Verodat is designed to scale alongside your organisation, ensuring that as your data complexity increases, your AI tools—like Co-Pilots—continue to function seamlessly.   

The Road Ahead: How Businesses Can Prepare 

As Microsoft Co-Pilots become more embedded in business workflows, the competitive advantage will go to companies that are prepared to use them effectively. The key to leveraging this powerful AI lies not only in data readiness but in AI readiness. Organisations must prioritise data quality, integration, and accessibility to truly benefit from the advancements in AI-powered analytics and reporting. 

By working with Verodat to get their data AI Ready, businesses can: 

• Ensure their data is optimised for AI tools, maximising the impact of Co-Pilots. 

• Accelerate time-to-insight by automating reporting and analytics tasks. 

• Enhance decision-making through real-time, AI-driven insights and predictions. 

• Future proof their process to ensure they are in the best position to avail of all the newest AI innovations. 

In a world where data is the new currency, having the right data infrastructure in place will be crucial for businesses to thrive in the age of AI. 

Conclusion 

The new wave of Microsoft Co-Pilots promises to change the game when it comes to analytics and reporting. With AI at the helm, businesses can look forward to real-time insights, predictive analytics, and the automation of complex tasks. However, without high-quality, AI-ready data, the full potential of these tools may remain untapped. Verodat offers businesses the foundation they need to succeed, ensuring that Microsoft Co-Pilots deliver accurate, actionable, and timely insights. 

As organisations embrace the future of AI-powered productivity, partnering with Verodat can help unlock the full value of Microsoft Co-Pilots and transform how analytics and reporting are done. 

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. 

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.

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.

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.

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.