A boutique data science firm is what we call ourselves – we go beyond traditional statistics and computer programming and extract actionable insights from data. We can use data emanating through varied sources like emails, phone calls, text, images, videos, social media, sound and many other. Our machine learning algorithms drive real value for customers and improve efficiency.
In her article, “Decoding Consciousness”, which first appeared in the souvenir of Dr. Parnekar Life Management Foundation, Singapore, Dr. Sharda Bapat, Head of AI, Healthcare at AlgoAnalytics, explores and expounds her thoughts about machine learning and “artificial consciousness”. She envisions hope that the collective intelligence can be directed towards harmony and synchronized development of human intellect,physical and psychological realities. But cautious, that the challenge is to create appropriate technologies that will restore natural equilibrium. Read the full article here
Can Text Analytics really help reduce manual overload? Let’s take a look back when we started sharing interesting links, bookmarks, etc. During the early 2000’ there were many “tagging sites” that emerged. Tagging helped in collating our searched links online rather than just in a browser and also helped share the saved links with a single tag. It was soon realized that the one word tagged for different people meant different things and thus context and meaning to that tag was required and with that relevant sub-tags became a part of the search criteria.
Diabetic Retinopathy & Machine Learning
Machine Learning & Retail Analytics
Analytics in Retail has moved beyond just forecasting and making simple assumptions about customers. Machine learning and Artificial Intelligence (AI) has started to provide retailers with powerful tools. These tools are just beginning to bridge the gap between marketing automation and retail management consultation.