DEEP LEARNING CAFÉ
What's on the Menu
Computer Vision can recognise people and objects with astonishing accuracy. In the retail space we use computer vision to answer the most important questions; what is the demographic of people visiting your shop, was it a pleasant experience and did they buy to name.
By tracking and rewarding your regular customers you can turn occasional shoppers into loyal regulars.
02 Document Intelligence
Never before have lawyers been confronted with more voluminous and complex data than what they are today.
Document intelligence entails using A.I (natural language processing) to understand documents at a contextual and semantic level forming a platform for various use-cases.
In one instance, a multi-nation law firm quoted our client a fortune of money and two weeks of manual labour to analyse 20000 emails and attached documents to find the relevant information.
By using the document intelligence tools, our client was able to extract the relevant information and analyse the 20000 emails and attachments in a matter of hours and at a fraction of the cost.
Every business is under pressure to sell more at a lower price. Our recommendation engine technology will help you sell products you could never sell before, to users you could never reach before. By showing your customers quality recommendations you will not only increase sales – you will also create an engaging loyal customer base.
DEEP LEARNING CAFÉ
check out our projects
Adine Abro Attorneys
What was the problem?
Adine Abro Attorneys had to write an opinion on the merits of a case based on a huge amount of emails and documents they received from a client in a short space of time.
How did we solve it?
We use the power and scale of the cloud to process the documents and emails and transformed into raw text.
We used modern techniques in language modelling to create a semantic search engine.
What was the outcome?
Client extracted the relevant information using the semantic search engine in less than 5 hours, a lot less than the 2 weeks as quoted by a leading law firm.
By the numbers: Emails: 10900 Attachments: 5700 Size: 29GB
PPS
What was the problem?
Slow down in growth and profitability.
How did we solve it?
Uses AI to recommend products to 200,000 members based on their individual preferences and history.
What was the outcome?
Improved sales by 5% with AI recommendation platform
Source:
Google Case Study