people

Nik Subramanian

CTO and founding partner at Kantify

Nik Subramanian is the CTO and cofounder of Kantify. With 3 Masters degrees, Nik is not only an expert in AI but also in creating revenue from Artificial Intelligence. Before cofounding Kantify, Nik was the director of International Operations for a major B2B financial group and managed 1000+ people and € 300+ Million ARR.

His input in the projects of Kantify are therefore not only enabling our clients to find and develop the very best technology for their problem, but also understanding how best to include it in business processes and generate immediate value from AI.

Nik regularly publishes research papers as he is constantly developing new Machine Learning techniques and model together with our team of experts.

Use Cases

Customer Churn
Predicting and preventing customer churn through machine learningRead More
Automated Document Analysis
Automating document treatment using machine learningRead More
Fraud Detection
Detecting and preventing fraud through machine learningRead More
Image Analysis
Understanding and extracting content from images and videosRead More
Personalized Recommendations
Recommending the right products or services to your customers or stakeholders using machine learningRead More
Price Optimization
Optimizing the price you set for products and services through machine learningRead More
Price Prediction
Predicting prices of services, products and commodities through machine learningRead More
Sentiment Analysis
Analyzing customer sentiment through machine learningRead More
Spend Analysis
Analyzing company spend through machine learningRead More

Insights

What is Explainable AI?
Algorithms are making more decisions for us. Should we care about understanding how they come to their conclusions?Read More
2 ways Artificial Intelligence can save traditional asset management firms
Robo Advisers and digital-first fintechs are disrupting traditional asset management firms. AI might just save them.Read More
3 Problems that logistics and transport companies are solving through Artificial Intelligence
Transport and logistics companies are facing a host of challenges: here's how they have been using AI to solve these problems.Read More
The value of retaining the right customers
Find out why customer retention and loyalty are so valuable, anticipate challenges in improving retention and know how to calculate the value of your customerRead More
Predicting Churn with Machine Learning
Predicting churn with Machine Learning: the essential steps in terms of data collection, machine learning techniques, and evaluation.Read More
What is hyperpersonalized marketing, and how it creates value
Hyperpersonalization of marketing has now become a trend. Read how it works and how companies can leverage it to create value.Read More
The New CFO Is A Changemaker In The Age Of AI
In order to implement AI, the CFO should have a different mindset compared to other innovation budgets.Read More
RPA and AI will be commoditized productivity tools within 5 years
RPA is becoming one of the top tech trends availableRead More
Robocrop: world's first raspberry-picking robot set to work
The farming industry battles rising labour cost and a shortage of seasonal workers due to the Brexit, Robocrop is part of the solution.Read More

News

Kantify and the ULB announce a common breakthrough in the prediction of Atrial Fibrillation
Atrial Fibrillation, a cardiac disease affecting 2% of the world population, can now be predicted.Read more

Related Industries

Chemical Industry
Machine learning and AI in the chemical industryDiscover
Financial Services
Machine learning and AI in financial servicesDiscover
Healthcare
Machine learning and AI in the healthcare industryDiscover
Logistics
Machine learning and AI in logisticsDiscover
Non Governmental Organizations
Machine Learning and AI for NGOsDiscover
Technology
Machine learning and AI in technologyDiscover

Related Business Functions

Finance
Better management of cash, payments and investments through AIDiscover
Marketing
Reaching existing and prospective customers through AIDiscover
Operations
Efficient and streamlined operations through AIDiscover
Procurement
Better negatiotiations and deals through AIDiscover