January 24, 2018

Dathena transforms data from liability to asset

It’s been said that more data was generated in 2017 than in the previous 5,000 years. According to Statista, this figure will increase 10 times in less than a decade.

With this ever increasing amount of data, organisations face a mammoth challenge in managing vast number of documents generated and received so that they can be easily indexed, classified and retrieved when needed.

Dathena Science recognises this challenge and made it its mission to transform data from a liability to an asset.

With offices in Singapore and Switzerland, the company has leveraged the graphics processing unit (GPU) to build an artificial intelligence-based solution called Dathena,
the only data governance platform.

Developed by users for users, Dathena is technology agnostic and can work in any environment.

Identifying and classifying documents with AI
Using cutting edge machine learning and artificial intelligence technologies, the software identifies and classifies all documents across an organisation. It will then assist to protect, retain or delete documents according to customisable business-centric rules.

“We help organisations to protect information and detect security anomaly based on AI where we identify data risks and report them to the IT security team accordingly,” said Christopher Muffat, CEO of Dathena Science, who expects AI to become mainstream and adopted by organisations.

“What we have observed is that most of the time, all the tools and software are the first pieces involving AI for most of our clients. This is rapidly adopted by them and they are seeing great benefits,” he added.

Powering Dathena
The computing power driving Dathena is the NVIDIA GPU.

“The GPU is a great technology. At first, GPUs were made for gamers. I was one of the gamers and very attached to NVIDIA. I am very happy that NVIDIA has moved to business-to-business where GPU can be used by organisations. To me, it is like a long-time friend and I am very happy to see NVIDIA sitting in this area,” said Muffat.

Dathena Science chose the GPU to provide better quality and service to its clients.

“By involving GPUs, we are able to have more detailed analysis and provide much faster results for the client to understand what’s going on in the organisation, where the confidential information is and what they need to protect. GPUs enable us to unlock this potential very quickly,” said Muffat.

GPUs help to develop the product by allowing better accuracy in the prediction, especially one with the confidentiality level of email and documents.

Dathena classifies data with an unprecedented 96.1 percent accuracy without any supervision, increasing to 99.9 percent accuracy when semi-supervised.

“We have better accuracy and quicker results with the NVIDIA GPU. Overall, GPUs are of great benefit to our clients,” said Muffat.


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