A Thali of Insights: How AI Data Platforms Bring Efficiency to the Table

Like a thali, a data and insights platform can offer property professionals a full plate of solutions

What is data but a little pulse of light signaling information between two points to bring illumination and clarity to users? The connection between data points signals the triumph of knowledge over ignorance, like the celebration of light over darkness during the festival of Diwali.  

Devi Mateti, president of our enterprise digital solutions group, drew this parallel between the intricacies of crafting an exceptional thali — a platter of multiple dishes often served during India’s Diwali (Festival of Lights) — and building an AI-powered data and insights platform like Araya™, our new property and location intelligence platform.  

Much like a thali, Araya unites various ingredients, such as comprehensive data, market insights, and portfolio analysis, to create a cohesive and satisfying experience for individual users.  

Araya is designed to help property professionals navigate the complex property industry. It provides deep insights into individual properties, a comprehensive understanding of the market, and strategic portfolio analysis, allowing users to make confident decisions at scale. 

By masterfully blending various components to form something greater than the sum of their parts (like a thali), each piece of data, analysis, and insight in Araya works together to provide a complete picture of the property landscape. 

Composition and Architecture 

Like a thali, a successful data and insights platform is built on balanced layers. The following layers incorporate all the ingredients for success:  

High-Quality Ingredients 

• Just like a thali needs the freshest ingredients, a data and insights platform is built on the most accurate, up-to-date, complete data. To ensure accuracy, the fresher the data, the better the insights. 

Reliability and Innovation 

• Our data and insights platform is powered by CoreAI models, which are similar to traditional models. Much like a thali sees generational innovation, AI offers unique updates to these time-tested models, encompassing much more data at faster speeds. These models, when carefully developed and tested, are also less prone to error. 

People-Centric User Experience 

• A data and insights platform is presented similarly to a thali platter, providing easy-to-use, elegant visuals so that users can quickly grasp insights. 

Variety and Diversity 

• A data and insights platform integrates diverse types of data from multiple sources, such as geospatial data, risk analysis, parcel data, climate data, and socioeconomic and neighborhood data, to create a balanced “meal” to fuel insights.  

Integration and Harmony 

• With a data and insights platform, AI quickly integrates disparate data sources into a cohesive system, ensuring that all the data and models work together seamlessly to complement each other and provide quick insights. 

Customization and Flexibility 

• Just as a thali can be customized to include seasonal dishes or for a specific diet, a data and insights platform can be configured to meet specific user needs. Whether it’s adding new data sources or adjusting analytics tools, our Araya platform is adaptable for multiple personas across the property ecosystem. 

Comprehensive Experience  

• The Araya Property and Location Intelligence platform offers a complete and comprehensive view of the property ecosystem with its multidisciplinary approach. To build Araya, we gathered various experts from our data science, location and geospatial engineers, economists, weather, climate science, hazard science, generative AI and data and technology teams to contribute their expertise and create an all-in-one experience that won’t leave users wanting more.  

To learn more about how property professionals can leverage AI to improve their understanding of the market, rely on trusted models and accurate data to make decisions, and explore a perfectly balanced thali of insights, download the white paper or view this presentation.  

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