Using the right data to power AI for your business

Turn on AI Co-Pilots in your existing tools.

Co-pilot AI tools for applications like Excel are transforming how users interact with data. These advanced AI assistants provide real-time insights, automate repetitive tasks, and enhance data analysis. And the biggest benefit for business teams is that these co-pilots are available in many of their day to day tools.

To date, many of these Co-Pilot tools have remained unusable for the average business. The process of perfecting the data management needed to get these working is beyond the scope of many teams. Verodat removes data roadblocks and help teams leverage these tools.

Co-Pilots can suggest formulas, generate complex reports, identify patterns, and even detect errors in spreadsheets. This streamlines workflows, reduces the potential for mistakes, and empowers users to derive more value from their data.

The integration of co-pilot AI tools in Excel is revolutionising data management and analysis, making sophisticated techniques accessible to users of all skill levels. 

Meet the GPTs

Generative Pre-trained Transformers (GPTs) understand and create human-like text and can be an invaluable tool for business.  

GPT’s are trained on data so in order for them to be effective, the right data is critical. The quality of the data directly impacts GPT performance and accuracy. The right data helps ensure that the insights, predictions, and responses generated by GPTs are reliable and relevant. If the data is accurate, complete, and free from bias, the GPT can learn effectively and produce useful outputs.

GPTs can make it easier to analyse data and generate reports. They can automatically find patterns in large amounts of data and can be easily built to meet the bespoke needs of an organisation.

Verodat also offers a marketplace of GPT solutions to support numerous business activities that can be instantly utilised for your organisation.

A New Age of Business Understanding

With context, supply status and attribution available through Verodat, the business applications for AI are transformative. We are moving from a period of business insights into an age of deeper business understanding, led by AI.

1.  Reporting and Analysis

• Automated Reporting: AI can automatically generate reports in natural language, summarising key insights and trends from data without human intervention. This makes reports accessible to non-technical stakeholders.
• Advanced Visualisations: AI can analyse vast amounts of data to identify patterns and correlations that might be missed by traditional methods. It can suggest relevant visualisations and highlight significant findings.

2. Querying

• Conversational Interfaces: AI enables users to query their database using natural language, making data querying accessible to those without advanced SQL skills. Users can ask questions like “What were our sales last quarter?” and receive accurate answers instantly.
• Contextual Understanding: AI can understand the context and intent behind queries, providing more accurate and relevant response

3. Blindspots and Prescriptive Outcomes

Identifying Outliers: AI can continuously monitor data to detect anomalies and outliers that might indicate errors, fraud, or significant but unexpected changes in business metrics.

Optimising Decisions: AI can provide prescriptive analytics by recommending specific actions to optimise business outcomes. For example, it can suggest additional queries, pricing strategies or inventory management tactics based on predictive models