Computer Vision: Seeing the Value for the Pixels – Lessons Learned from Real World Applications
Computer Vision: Seeing the Value for the Pixels – Lessons Learned from Real World Applications


Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. Today a number of factors have converged to bring about a renaissance in computer vision and allow the generation of actionable insights from images and videos. In fact, using digital image processing techniques and deep learning models, machines can accurately identify and classify objects and then react to what they “see.” During this session we will explore the main tasks that can be solved using computer vision, discuss three real-world examples and examine business value and implementation considerations


Federica is a Data Scientist at SAS, working across EMEA on the latest technologies involving Artificial Intelligence. She is excited about combining business and data science to help companies make better decisions, grounded in trusted data and assisted by analytics. You will likely find her working around Computer Vision or Natural Language Processing, but she enjoys everything that is data-related.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google