#1 On the wings of analytics
Aircraft manufacturers, like Boeing, Airbus and Embraer have been developing data driven technology to predict critical aircraft equipment remaining useful life. This data drive prediction technology has been disruptive from a safety perspective given that in the ideal scenario there would not be unscheduled maintenance or unforeseen failure events that could cause the occurrence of disruption occurrence affecting thousands of passengers flying over the world. Machine learning has been massively applied to flight data and failure history databases, in order to predict flight equipment degradation.
#2 I, robot lawyer
The advent of cognitive computing came up with new possibilities on the automation of activities that depends on the knowledge and experience of a human about a specific domain. Ross is an automatic question-answering system that allows lawyers to research in natural language (voice and texting) on tons of documents and get a passage of interest. Ross became the world’s first AI attorney.It is powered by IBM Watson, a cognitive computing platform that enables machine learning application on legal data.
#3 I, robot doctor
Watson, IBM cognitive computing platform, has been deployed to diseases diagnostics for cancer, diabetes and cardiovascular diseases. This has been used mainly in US and also a recent initiative has been started in Brazil to recommend better treatment for cancer. Watson has been taught on those diseases symptoms from documents; tests have been successful in US. Watson learns and reviews its knowledge frequently based on verified and validated information from doctors, documents and books.
#4 AI and Breast Cancer
Imagine a 40-years old woman that realizes a lump in her breast. Her clinician takes a tissue sample and sends it to a pathologist. Upon reviewing tissue sample pathologist will essentially define her future with their diagnosis, determining whether she has cancer or not. The work of pathologist is kind of like finding black cars on a city satellite image. Pathologists do this with tissue for hundreds of patients every day, looking for cancerous cells in each. Startups in US, Europe and China are developing AI-based technology, as AI-based image diagnosis, that assists pathologists in making rapid and accurate diagnoses for every patient, every time. That way patients can receive the best possible treatment and live the best possible life. AI-based technology is also building solutions to help identify patients that benefit from novel therapies, to make scalable personalized medicine a reality.
#5 AI to the rescue
Crisis management is an important issue for humans who have to deal with natural calamities such as floods, inclement weather, earthquakes and so on. Intelligent systems to deal with events of crisis as aforementioned have been developed for institutes such as Fraunhofer to help in deployment of rescue resources for assistance, based on information from government about city occupation and infrastructure and information from social media on the occurrences. A derivative of crisis management is disruption management in airline operations, big companies as Sabre and Amadeus, along with startups as Masdima have been developing smart solution to help airline make decision whenever a disruption happens, taking into account passengers needs and resources availability such as crew, aircraft and airport.
In God we trust. All others must bring data.
~ W. Edwards Deming, statistician
Data is the new oil.
~ Clive Humby
The world is one big data problem.
~ W. Edwards Deming, statistician
Data beats emotions.
~ Sean Rad, founder of Tinder
Data that is loved tends to survive.
~ Kurt Bollacker, Data Scientist
Data is the next Intel Inside.
~ Tim O’Reilly
Data is the sword of the 21st century, those who wield it the samurai.
~ Jonathan Rosenberg
Errors using inadequate data are much less than those using no data at all.
~ Charles Babbage, inventor
No great marketing decisions have ever been made on qualitative data.
~ John Sculley
I’m a bit of a freak for evidence-based analysis. I strongly believe in data.
~ Gus O’Donnell, economist