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Our Recent Point of View

From Monoliths to Microservices -
Decomposing IT for Future RoI

opportunities

Frequently Asked Questions

Telcos can harnes the power of AI to extract actionable insights to drive better customer experience and profitability. Download this eBook that explains the seven amazing ways telcos can leverage AI to their advantage.

faq

Product Video Tour

Operator Videos

Data Reader
Object Store Reader
Data Writer
Object Store Writer
Data Preparation
Auto Data Preparation
Data Preparation
Datatype Analyser
Data Preparation
Data Transformation
Data Preparation
Concat
Data Preparation
Encoder
Data Preparation
Filter Operator
Data Preparation
Join Operator
Data Preparation
Missing Value Operator
Data Preparation
Hypothesis Testing
Data Preparation
Correlation Testing
Data Preparation
Auto EDA
Data Preparation
Dimensionality Reduction
Data Preparation
Expression
Data Preparation
Profiling
Data Preparation
Algorithm – Classifier
Data Preparation
Algorithm – Clustering
Data Preparation
Algorithm – Ensemble
Data Preparation
Algorithm – Forecast
Data Preparation
Algorithm – Regression
Data Preparation
Global/Regional XAI
Data Preparation
Local XAI
Data Preparation
Auto CASH
Data Preparation
Model Saving
Data Preparation
Model Score

Use Case Video Demo

Running campaigns is hard especially if you are a telecom operator with lots of products and services. To build customized campaigns to engage your targeted subscribers, you need real-time data and real-time analytics – You need lightning-fast intelligence to reach the right customers with the right offers on the right channel.

Telcos are continuously innovating and evolving their business models to counter the declining revenues from traditional services. One such business model where we see a steady increase in revenues over the last few years is Handset sales.

One of the biggest problems in the Telco industry is to face possible frauds done to a company by dealer stores. Companies nowadays report seeing a subsequent increase in attempts by dealer to make fraudulent commissions for their own benefit.

With the enormous growth of telecom networks usage and the huge increase in the number of applications running on top of it, network security is becoming increasingly more important.

Credit risk is the possibility of a loss resulting from a borrower’s failure to repay a loan or meet contractual obligations. Traditionally, it refers to the risk that a lender may not receive the owed principal and interest, which results in an interruption of cash flows and increased costs for collection.

Mitigate risks with HyperSense AI

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