Embracing AI & Machine Learning in Telecommunications
. 45 minutes with Q&A
As COVID-19 forces society to prioritize telecommuting and embrace digital adoption, the telco market has been significantly upended. This new paradigm has opened up opportunities for early adopters but created massive churn risk for laggards. AI represents new opportunities for telcos to grow market share, offer new services, operate networks more efficiently, and further reduce cost per megabyte.
No other industry has as much data as telcos. No other industry is better placed to leverage AI to drive value from this data to better plan and manage networks more efficiently, understand and predict customer behavior, and run finance more effectively. But AI comes with a catch: it’s complex to build, complex to deploy, and complex to maintain.
In this webinar, Brett Kilner, Head of AI in Network Operations, Market Area Oceania, South East Asia & India at Ericsson and Puneet Goyal, Customer-Facing Data Scientist at DataRobot will discuss how the telecommunication industries are learning from their data and using AI to tackle some of their biggest business challenges.
Join and learn how:
Current challenges for operators and the opportunities AI presents today
Automating Model Development and Operations
Live demo of churn modeling for a proactive retention strategy
Head of AI in Network Operations, Market Area Oceania, South East Asia & India Ericsson
Customer Facing Data Scientist, DataRobot
DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
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