H2O.ai has made its automated machine learning tool as a pre-built solution for Snowflake’s Telecom Data Cloud.
The newly-announced Telecom Data Cloud unites Snowflake’s data platform, Snowflake- and partner-delivered solutions, and industry-specific datasets. It aims to help telecommunications service providers break down data silos within companies and across the ecosystem. This allows organisations to easily and securely access data in near real-time, enrich it with machine learning (ML) models, and then share and analyse it to drive better decisions.
Within Telecom Data Cloud, customers can access industry-specific solutions from Snowflake’s ecosystem of partners to leverage best practices, reduce time-to-value, and increase overall impact.
“It will take an ecosystem of technologies to maximise the telecom industry’s potential for innovation. Each partner for Snowflake’s Telecom Data Cloud was chosen with the highest regard for that mission and H2O.ai is no exception,” said Phil Kippen, Telecom Global Head of Industry, Telecom at Snowflake.
A pre-built suite of applications for Telecom Data Cloud uses machine learning to help businesses maximise customer profitability and minimise churn. H2O.ai’s application can segment and score an entire customer base or model daily granularity for each customer. Models are built and yield results in minutes with predictions available to applications built on top of Snowflake.
“True industry transformation requires a corporate culture shift where there are fewer singular heroes and more winning teams. A key to more winning teams is what we make: powerful AI that unlocks collaboration, creativity and interdisciplinary understanding,” said Sri Ambati, CEO and founder of H2O.ai.
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