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I recently spoke about the food business with Shalabh Shalabh who leads the consumer packaged practice at LatentView Analytics.

LatentView Analytics recently announced a new AI-based conversational analytics platform called Casper.

Trusted global analytics partner, LatentView Analytics, announced the launched of its new AI-based conversational analytics platform ‘Casper’.

New platform enables anyone across the enterprise to access data and insights on demand through natural language voice and text queries.

PRINCETON, N.J: LatentView Analytics, today launched Casper, its new AI-based conversational analytics platform, that enables anyone within a company to easily access customized reports and insights in visual, text, or voice form with no coding required.

According to Gartner, by 2021, “conversational first” will be adopted by the majority of enterprise IT organizations as the most important new platform paradigm, superseding “cloud first, mobile first.” To address this trend, LatentView Analytics is bringing the power of natural language voice assistants and conversational AI to a friendly, non-technical interface.

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Casper has built-in intelligence, which can be applied across various domains such as market share analytics and digital marketing campaign analytics. The platform eliminates the problem of large amounts of inaccessible and siloed data not being harnessed and used for competitive insights due to a lack of resources and technology. With Casper, non-technical employees within a company can now unlock previously dormant data to make fast, accurate decisions without coding skills or waiting for a data scientist or business analyst to provide a report.

What really differentiates Casper is that beyond the conversational interface, it has significant domain-specific intelligence built in. Its AI-powered algorithms suggest follow up questions to data queries based on previous interactions and current context. With increased use, Casper’s machine learning capability continuously generates smarter, more relevant suggestions and insights. This delivers robust, consistent analytics across the enterprise- which is a necessity when non-experts deal with data, allowing them to focus on driving their business.

“At LatentView Analytics, we are always looking to increase value for our clients. Productizing more of our services is a part of our roadmap as this ensures consistency of quality, offers meaningful benchmarks and drives reapplication of best practices across our client base. Casper is another major product launch and a milestone in this journey,” said Sekhar Krishnamoorthy, Chief Product Officer at LatentView Analytics. “To date, accessing vast amounts of available data on demand to make informed, often critical business decisions has been challenging for non-technical people within enterprises, requiring coding skills or teams of engineers, analysts, and data scientists. Casper brings us closer to the vision of ‘analytics for all’ and makes insights available to everybody with a user-friendly voice interface.”

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Key Casper features and functionalities include:

  • Relevance Through AI: Machine Learning powered algorithms that use natural language processing and Deep Learning technologies ensure continuous learning and relevant analytics suggestions.
  • Flexible Input and Output: Casper ingests unstructured and structured data from any source, and is capable of understanding natural language commands and outputting data in visual, text or voice form.
  • Easy Shareability of Insights: Casper users can save their analyses and instantaneously share across teams via emails in real-time, on the go.
  • Efficient Set-up and Training: Casper is easy and fast to set up across web, mobile (browser) or voice interface (Alexa, Siri, Google, etc.)


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