Industrial IoT
Business Wire | October 23, 2023
Comcast and Broadcom today announced joint efforts to develop the world’s first AI-powered access network with a new chipset that embeds artificial intelligence (AI) and machine learning (ML) within the nodes, amps and modems that comprise the last few miles of Comcast’s network. With these new capabilities broadly deployed throughout the network, Comcast will be able to transform its operations by automating more network functions and deliver an improved customer experience through better and more actionable intelligence.
Additionally, the new chipset will be the first in the world to incorporate DOCSIS 4.0 Full Duplex (FDX), Extended Spectrum (ESD) and the ability to run both simultaneously, enabling Internet service providers across the globe to deliver DOCSIS 4.0 services using a toolkit with technology options to meet their business needs. DOCSIS 4.0 is the next-generation network technology that will introduce symmetrical multi-gigabit Internet speeds, lower latency, and even better security and reliability to hundreds of millions of people and businesses over their existing connections without the need for major construction of new network infrastructure.
On October 12, Comcast announced that it will begin to introduce the first customers in the world to Internet services powered by DOCSIS 4.0 using FDX. While the company will continue to leverage FDX, the collaboration with Broadcom will provide Comcast and other operators with additional options in the pursuit of delivering the best possible connectivity experience.
The Xfinity 10G Network leverages the latest advancements in edge compute, digital optics and real-time, actionable telemetry to meet and exceed our customers’ constantly evolving connectivity needs, said Elad Nafshi, Chief Network Officer, Comcast Cable. With this new Unified DOCSIS4 chipset from Broadcom, we can broadly deploy transformational AI network capabilities alongside symmetrical multi-gig speeds. FDX is the best technology for Comcast, but this groundbreaking unified chipset will provide the entire industry with options when upgrading their nodes, amps, and cable modems for DOCSIS 4.0.
The new end-to-end chipsets will be the industry’s first to incorporate AI and ML capabilities that will transform the operations and customer experience functions by:
Making smarter network performance decisions using network diagnostics insights produced by both local and cloud AI.
Enhanced monitoring and issue detection using bandwidth-efficient telemetry data.
Transforming network maintenance of the network using real time issue localization plus predictive and self-healing network intelligence.
Protecting network facilities and customers with improved cybersecurity intrusion detection.
Assisting customers more effectively through local and cloud-based AI.
Monitoring home IoT devices for connectivity disruptions.
All these capabilities, and more, are achieved while reducing network latency and insulating customer data to ensure the utmost privacy standards.
“By enabling a toolkit that includes FDX, ESD or both simultaneously, this new Unified DOCSIS4 chipset incorporates the advantages of both technologies and will enable economies of scale as well as a common retail modem for the industry,” said Rich Nelson, Senior Vice President and General Manager, Broadband Video Group, Broadcom. “The edge network and in-home capabilities of this chipset will improve network intelligence and reliability to create an improved broadband experience with enhanced privacy protection and cyber security for the consumer.”
Comcast and Broadcom are designing and building the new chipset based upon CableLabs’ DOCSIS 4.0 specifications. The companies have a history of working together to introduce innovations that have pushed the industry to the next generation of connectivity. In 2021, Comcast conducted the world’s first full duplex multi-gigabit symmetrical test on Broadcom-built silicon. In January 2022 the companies tested the first Full Duplex DOCSIS 4.0 system-on-chip (SoC) cable modem that delivered symmetrical speeds faster than 4 Gbps. Later that year, Comcast successfully tested the final technical component of necessary to deliver multi-gig symmetrical speed powered by DOCSIS 4.0 throughout its network with 10G smart amps built on a Broadcom-developed reference design.
The companies expect to begin trials early in 2024 and to begin deploying the new chipset in live networks before the end of the same year.
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Enterprise Iot
Business Wire | October 20, 2023
Tavant, Silicon Valley’s leading digital lending solutions provider, today announced at the MBA's Annual Convention & Expo in Philadelphia, the launch of Data Beats™, a groundbreaking data platform that promises to redefine the financial services landscape. Built to inform, provide insights, act, recommend, and predict, Data Beats ushers in a new era of data-driven intelligence for the industry.
This versatile platform empowers businesses to harness the power of their data and maximize its value, effectively taking the stress out of data management. Key benefits of Data Beats include:
Provides actionable data insights that work for your business;
Analyzes data from various aspects of your operations;
Adapts and learns from your data to provide real-time recommendations; and
Looks into the future, learns and predicts trends.
Data Beats is a platform offering within Tavant's banking and financial services suite of technology products. Data Beats is set to serve as the analytics and IoT engine for the financial services industry, initially focusing on mortgage and home equity products. Tavant plans to extend this robust data ecosystem to all consumer loans and banking products, making it a comprehensive solution for financial institutions.
With Data Beats, Tavant empowers financial institutions towards proactive rather than reactive operations by incorporating generative AI to prompt users on the best course of action. This revolutionary approach allows the platform to offer precise recommendations for loan officers, consumers, processors, and underwriters, enhancing the overall efficiency of the lending process.
Abhinav Asthana, Fintech Product Business and Growth Leader at Tavant said, Tavant's mission is to stay at the forefront of innovation and to be the engineering partner of choice in the financial services industry. Data Beats exemplifies our commitment to providing our customers with an advanced platform that accelerates their vision to transform into a data-first organization. We are proud to launch this platform, which brings insights, intelligence, and efficiency to the heart of the lending process.
Data Beats has already started demonstrating its value within Tavant's existing customer base by enhancing and automating the home buying experience. By consolidating data from various stages of the customer journey, from acquisition to servicing and beyond, Data Beats provides invaluable insights that can be used to predict future behavior, optimize operations, and improve overall business performance. The system's foundation, the data lake, can ingest a wide range of data inputs, limited only by the specific business problem it aims to solve. This flexibility positions Data Beats to become a game-changing tool for a wide range of industries beyond mortgage and lending.
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Industrial 4.0
UST | September 15, 2023
UST strives to provide comprehensive digital solutions with enhanced customization and support capabilities.
Currently, 90% of the data generated at edge data cannot be processed seamlessly in real-time, thereby diminishing its value.
The agreement equips Barbara for long-term success by collaborating with UST to tackle the challenges of digital transformation while building a robust partner ecosystem.
UST, a prominent company for digital transformation solutions, has entered into a partnership with Barbara to facilitate private, secure, real-time digital transformation by harnessing the power of artificial intelligence.
Together, UST and Barbara will be able to leverage data generated at the 'Edge' by various IoT devices, industrial facilities, and equipment machinery. Currently, 90% of this data cannot be processed seamlessly in real-time, devaluing it.
This collaboration will enable UST to provide customers with access to a premier orchestration platform capable of deploying, monitoring, and maintaining applications, devices, and AI at the edge at scale. AI at the edge refers to the deployment of artificial intelligence in an edge computing environment, where computation takes place closer to the source than in a central cloud facility or isolated data center.
Head of Smart Data & AI, Spain and South America at UST, Ignacio Marrero, stated,
For UST, this agreement will allow us to expand our capacity to develop AI solutions while also extending reach to devices on the edge. By collaborating with Barbara, we will be able to deploy our agile strategy for the training and deployment of AI models.
[Source: Cision PR Newswire]
The focus of this partnership lies in efficiently processing data generated at the 'Edge' through numerous IoT devices, industrial plants, and equipment machines. Currently, a significant portion of this data cannot be processed in real-time, resulting in a loss of value. Deploying AI at the edge involves utilizing artificial intelligence in an edge computing setting closer to the data source than central cloud facilities or remote data centers.
David Purón, Chief Executive Officer at Barbara, said that, through their collaboration with UST, they would expedite the launch of projects necessitating edge capabilities, providing increased security, zero latency, and enhanced flexibility. He noted that this partnership allowed both companies to leverage their respective strengths and expertise in developing tailored digitization solutions for clients.
This collaboration aims to orchestrate intelligent applications at scale across edge infrastructure, utilizing real-time data processing and local storage. By doing so, UST and Barbara intend to expedite the development of intelligent, cyber-secure, and decentralized applications for Industry 4.0.
The advantages of employing AI at the edge include lower operational costs, quicker operations, enhanced customer experiences due to faster responses, and a competitive edge through localized data processing with improved privacy measures. Additionally, it eliminates latency, ensures regulatory and cybersecurity compliance, maintains operations in low connectivity environments, and delivers significant bandwidth cost savings. The partnership also positions Barbara to address digital transformation challenges alongside UST as they collaborate to establish a robust partner ecosystem.
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