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'Comcast'
Case Studies
3
Case Studies
3
Operationalizing Machine Learning at Comcast
Comcast, a multinational mass media company, was facing challenges in building models on complete production datasets to improve the accuracy of their predictive analytics. They needed a solution to run models on complete production datasets as opposed to relying on sampling. The company was also looking for ways to operationalize and scale data science to match the company's volume of operations. They were dealing with issues such as extracting and integrating real-time production data that comes in different formats, using heavy computation to transform raw data into usable data sources, providing timely responses to a great number of prediction requests and continuously updating models with the latest data to keep predictions accurate.
Comcast Leverages Peakflow® SP Product to Facilitate IPv6 Transition
Comcast Corporation, a leading media, entertainment, and communications company, was faced with the challenge of transitioning its network and services from IPv4 to IPv6. This transition was necessitated by the Internet Assigned Numbers Authority (IANA) distributing the last five blocks of IPv4 addresses to the Regional Internet Registries (RIRs). Comcast had to ensure the technological readiness of its entire network and service infrastructure, including core network readiness, support for IPv6 across the back-office systems, and access network IPv6 readiness.
Comcast Business: Driving Revenue Growth with AWS Direct Connect at the Edge
Comcast Business, a division of Comcast, was looking for ways to modernize the Enterprise Resource Planning (ERP) system of one of their enterprise customers, a local building supply company. The customer was seeking a new IT solution to upgrade their ERP system. Keeping all functions on-premises would require a complete rebuild of their existing data center, leading to a significant capital cost burden and ongoing expenses to scale over time. This option was not ideal, so alternatives were explored. Public cloud solutions available through AWS were the best fit, but accessing these services via their existing public internet was slow and did not meet the network latency thresholds needed for their new desired architecture. Ongoing operating costs were also a concern, so a scalable, cost-effective solution was needed.

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