'Sofie' is an intuitive mobile app that comes from LifeLearn that uses crowdsourcing, big data and IBM Watson to improve the pet care that veterinarians are able to offer.
The app begins by collecting data from the American Animal Hospital Association, The Animal Medical Center in New York City and the Ontario Veterinary Group and more. Since this can be an overwhelming amount of data to sift through, veterinarians are simply able to ask Sofie a question in their own language. With its natural language processing capabilities, IBM Watson is able to scan hundreds of thousands of medical research documents in order to make suggestions for the most relevant treatment options for a pet in need of veterinary care.
Crowdsourced Veterinary Apps
LifeLearn's Sofie App Uses IBM Watson to Enhance Animal Care
Trend Themes
1. Crowdsourced Veterinary Apps - Crowdsourcing and big data are being used to enhance pet care through mobile apps like Sofie.
2. Artificial Intelligence in Animal Care - The integration of IBM Watson's natural language processing capabilities with veterinary care apps like Sofie is revolutionizing the industry.
3. Data-driven Veterinary Diagnosis - The use of big data in veterinary research and diagnosis is enabling more accurate and personalized treatment options for pets.
Industry Implications
1. Veterinary Services - Crowdsourced veterinary apps and AI-powered diagnosis are disrupting traditional veterinary services and improving care outcomes.
2. Mobile App Development - The demand for mobile apps that combine crowdsourcing, big data, and AI in the veterinary field is creating opportunities for mobile app developers.
3. Data Analytics - The growing need for data analysis and processing in the veterinary industry, driven by the adoption of crowdsourced apps and AI technologies, presents opportunities for data analytics companies.