Harmonic Unveils Edge Computer Module Extending CableOS Cloud-Native Platform

SAN JOSE, Calif.—Harmonic announced extensions to its CableOS access platform, including a major enhancement that enables cable operators to deploy compute resources via their IP access networks and leverage distributed cloud-native applications, such as 5G OpenRAN, flexible DOCSIS MAC and video CDN.

The combination of the new features and its cloud-native DOCSIS and fiber-to-the-home (FTTH) XGS and 10G EPON applications, raises the bar for access platforms, the company said.

“Multi-access edge computing is going to play a pivotal role in the future of wireline and 5G wireless networks, revolutionizing the cable industry’s service delivery opportunities,” said Gil Katz, senior vice president, Cable Access Business Operations at Harmonic. “We’re excited to again break new ground, offering the first cloud-native solution capable of simultaneously running flexible MAC, Open Caching streaming video delivery and other critical applications at the deep edge of the access network.”

Harmonic developed its new edge compute module in partnership with Intel, the company said. It is designed to be deployed in the same Ripple+ network edge platform (also called a node) as the company’s remote-PHY and remote-OLT modules. Doing so extends CableOS cloud to the deep edge of the access network. 

The company is featuring CableOS and its new extensions at the ongoing virtual SCTE-ISBE Expo, Oct. 12-15.

Asaf Matatyaou, Harmonic vice president of solutions and product management, Cable Access Business, will take part in a panel discussion with Intel. The session “Utilizing Distributed Software and Multipurpose Computing for DAA” is scheduled to occur in the Imagine Zone, Oct. 14, from 11-11:30 a.m. ET.

To learn more about Harmonic’s participation at Cable-Tec Expo or to schedule a meeting, visit the company’s expo webpage

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Riversand Partners with Digital Data Consultancy to Offer Cloud-native Data Management Software in the UK

Riversand, a leading cloud-native SaaS Master Data Management (MDM) and Product Information Management (PIM) solution provider, announced today its partnership with Digital Data Consultancy Limited (DDC), a provider of digital consulting services in the UK operating across retail and consumer goods, banking and finance, healthcare and manufacturing.

The partnership enables Digital Data Consultancy to offer consulting and system integration services with Riversand’s transformational MDM technology platform. Riversand’s customers will benefit from an integrated consulting and implementation experience.

“Collaborating with Riversand offers forward-thinking companies an infinitely scalable cloud-native, muliti-domain platform for their product and master data needs,” said Saikat Ghosh, principal consultant at Digital Data Consultancy. “By combining Riversand’s ability to leverage data and provide better experiences with DDC’s implementation and operational depth, customers will get measurable value in their MDM and PIM investments.”

As companies transform their digital strategy to deliver a holistic customer experience, their foundation for success with a leading e-commerce solution includes having a robust system for master and product data.

“Digital Data Consultancy understands what customers can get from a multi-domain data strategy,” said Ben Rund, vice president of Business Development in Europe at Riversand. “With Riversand and DDC, customers can tap our joint expertise in delivering data strategy and better customer, partner, and supplier experiences – all to achieve their digital transformation goals.”

About Digital Data Consultancy

Digital Data is a one-stop consulting firm when it comes to strategic consulting of Data – be it Master Data, Big Data, Data Governance or Data Science. We help our clients to focus on their biggest technical asset – their Data. On a daily basis, we advise companies on how to actively manage their data, discover insights from the data and improve quality to make better decisions. We come with years of experience in implementing enterprise data transformation