Efficient maintenance leveraging drones

Drone-based detection of parts of the infrastructure (like Solar panels or gasoline pipelines) that are breaking down and need to be attended to (say, cleaning, repair, etc.). Direct impact on the efficiency of throughput and the cost of maintenance.

Real-time customer engagement

Real-time intervention, on the hospital floor, to ensure that recommended diagnostic tests are being purchased within the hospital, leveraging our customer engagement solution nGAGE. Direct impact on daily revenue!

Preventing unauthorized access

Surveillance and Security across different industries (like manufacturing units) to allow / disallow people in designated areas, using computer vision based image processing on-the-edge. Driving efficiencies while reducing errors.

Data extraction from Images

Extract text from scanned Invoice Documents, classify the different types of invoices and then identify pre-determined columns from the extracted text using advanced NLU techniques. Process automation at its best.

Secure data sharing 

Blockchain-based secure electronic health data sharing between Individuals, Healthcare Providers, Healthcare Entities and Medical Researchers, to mitigate the industry interoperability challenges and creating trust.

Provisioning data for Analytics

Creating an Enterprise Data Lake for handling structured and unstructured data, through streaming and batch processing, while supporting a global data architecture. This enables Data democratization and advanced analytics.

Identifying required spare parts

Based on pictures sent by the product Servicing Agents from the field, an ensemble of algorithms identifies the product, thereby helping identify the right spare parts without taking the time of expensive SMEs.

Mitigating delinquency

 Predicting the probability of a customer going delinquent, using both internal (service plan, payment history…) and external data (credit score, life events…). Timely interventions saved millions of Pounds.

Arresting churn

Cloudera setup for large volume of unstructured data; primarily customer support call logs, mobile data usage and customer feedback. Used NLP and decision trees to predict Churn based on appearance of certain terms in call Logs.

Customer segmentation

Segmented the customers for a bank using demographic and transactional data, as well as identified the product(s) that each segment is most likely to aspire for. This extreme focus improved campaign effectiveness by 14%!

Non-traditional customer profiling

Extracted data from bank statements, utility bills, emails, finance-related SMSs and social media activities (all after receiving permission from user) to build a realistic customer profile, for Financial Institutions to make lending decisions.

Driving delivery efficiency

Reducing the time taken for delivering groceries, by automating the process of reconciling the items ordered and the items delivered, right at the point of delivery, using the mobile app itself. Leverages image analytics on-the-edge.

Identifying video attributes

Identifying different attributes in a video (like a character’s [7 different] emotions during the program) as well as the dynamics between the different characters, using extensive frame-by-frame analysis; to finally correlate to the TRP.