Artificial Intelligence isn’t a singular technology, but an umbrella term that includes machine learning, voice recognition, and predictive analytics, among others, to develop a solution.
Artificial Intelligence is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions.
Given that AI technology is still in its infancy, only 33% of retailers understand the disruptive nature of intelligent agents; 67% do not.
AI is already in the process of reshaping businesses around the world. Up to 60% of business tech decision makers consider changing their business model to support AI to be a “high” or “critical” priority for the next 12 months.
Machine Learning and Artificial Intelligence will never replace your employees. But they will help with data insights no human mind can comprise.
Humans are not at their best doing tedious tasks. Machines can do that, so this is where AI can provide a true benefit.
Make faster business decisions based on outputs from cognitive technologies.
Use insight to predict customer preferences and offer them personalised offers.
Reduce significantly the mistakes and human error rates.
Mine for unique "gems" hidden in these datasets, by quickly and efficiently processing billions of data points. The best part: AI is not static, it learns and adapts quickly.
Cegeka started its first image and video processing adventure in 2004, and up to today, it delivered over 10.000 man-days worth of Computer Vision, Deep Vision, Image Processing and Machine Learning projects, in domains varying from Bio Medical, Automotive or Construction Industry to Agriculture or Sports and Entertainment.
Next time you reach out to your telephony provider via chat, it may be us. (If it’s bad, it’s not us). We are able to provide conversational interactions with humans, using a pre-programmed level of vocabulary and understanding, across multiple languages.
In order to keep track of their livestock, farmers use high quality aerial photos that are processed by our software application. Same techniques can be applied for crops and for countless other storage-based industries.
Another industrial application consists in the automation of the stock management process for various products.
A similar application is used for timber manipulation. Pictures are taken at the site and at destination and each log is identified and assigned a number and based on this number further categorization is done, using the type of wood or the diameter.
For the food industry, we have developed an application that can determine the percentage of fat in burger patties. We can determine what a good steak should look like, too.
Wonder why your favorite team wins? Could be us. Match tactics and preparation for baseball team from MLB. The program is trained using a number of clips for each type of throw (curveball, fastball etc.) and based on these videos it generates heat maps that can assist the team players in deciding how to prepare for each throw.
One of the medical applications we developed assists in the automation process of the suture needles counting. After the training phase, the application can identify and count the needles, even when the input image has added complexity that would make it difficult for a human eye to process.