“We are extremely pleased, as inventors and pioneers, with the continued development of the Fullpower^®-AI patent portfolio. These new issuances continue to expand the breadth and depth of our IoT platform, Sleep, and Biosensing intellectual property portfolio,” said Philippe Kahn, Chief Executive Officer of Fullpower^®-AI.

1. US11462238 issued 10/4/2022 – Detection of Sleep Sounds with Cycled Noise Sources – Priority date: 10/14/2019

A system of monitoring a sleeper to reduce false positives and false negatives, and provides a more accurate record of the user’s sleep states. Additionally, the system can be used to track changes in patterns from the user and from the environment. This may lead to early warning of health issues, as well as issues with the devices in the bedroom.

2. US11452916 issued 9/27/2022 – Monitoring Exercise Surface System – Priority date: 1/17/2019

A biosensing system designed to be positioned under an exercise mat. The system includes a set of sensors arranged to monitor a user’s health data and posture while the user is performing exercises.

3. US11382534 issued 7/12/2022 – Sleep Detection and Analysis System – Priority date: 10/15/2018

A sleep monitoring system. The system determines sleep stages for the user. The system further adjusts the bed when either a respiration event or snoring event is detected.

About Fullpower Technologies, Inc.

Fullpower^® Technologies delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing, end-to-end engineering services, and software customization in life sciences, health, and biotechnology. Fullpower’s platform is vetted and deployed as an IoT PaaS, backed by a patent portfolio of 135+ patents.

Fullpower’s key areas of expertise include:

• Clinically validated sleep technology: Sleeptracker-AI®
• Worldwide vetted IoT edge-cloud platform deployments
• AI-powered IoT biosensing
• Remote non-invasive vital signs monitoring
• The development of new AI-powered technologies in life sciences and biotechnology fields

Fullpower’s B2B PaaS customers are in medical solutions, remote biosensing, sleep, bedding solutions, wearable, and wellness services.

The post Fullpower®-AI Announces the Issuance of Three New U.S. Patent first appeared on AI-Tech Park.

Select Report Findings

• Driven by 5G infrastructure investment, the Global SDM market will reach $10.46 billion by 2027
• North America is poised to benefit the most from this trend, becoming a $35.2 billion market by 2027
• Global cloud-based 5G Unified Data Management (UDM) will become a $498 million UDM market by 2027
• Global 5G and LTE SDM will be $4.7 billion at 17.4% CAGR and $1.9 billion at 60.8% CAGR respectively by 2027
• The global market for third-party SDM (OTT and managed services providers) infrastructure will exceed $1.5 billion by 2027
• Centralized data management supported by cloud-based storage and retrieval will enable operational savings of over 50%

Subscriber data is a crucial commodity for network carriers worldwide, as it can be leveraged to provide customized services and optimize applications to the market based upon subscriber preferences. This creates opportunities for new and highly focused applications and services. Optimally leveraging subscriber data also facilitates revenue expansion as well as improved customer loyalty and profitability.

However, access to subscriber data is often a challenge for network operators. This is due largely to subscriber data being stored in a non-unified, distributed architecture that consists of a variety of different network elements and services. This legacy subscriber data architecture approach is often vendor-specific, which makes it costly to establish and maintain a consolidated view of the operational data.

Subscriber Data Management (SDM) systems provide solutions to these problems by unifying subscriber data into a central repository. With this repository, SDM solutions unify cross-domain subscriber data, including identity, location, presence, authentication, services, and access preferences. These data elements may feed multiple applications through an API interface.

An important aspect of SDM is the 3GPP defined Unified Data Repository (UDR) function, which is central to storage and retrieval of data in 5G networks. UDR is also central to the 5G Service Based Architecture (SBA) approach, including application, subscription, authentication, service authorization, policy data, session binding, and application state information.

We estimate that carriers can save over 50 % in OpEx (associated with customer provisioning, administration, and application/service OSS/BSS) with next-generation SDM as compared to legacy non-UDR mechanisms for managing subscriber data. In addition to OpEx savings, SDM solutions allow carriers to reduce churn rates by enabling carriers to personalize services, improve marketing campaigns, and improve overall revenue and customer retention by gaining rich customer insights.

Furthermore, SDM also allows carriers to establish themselves as brokers of subscriber identity through SDM APIs. Driven by internal utilization within carrier services and identity brokering, SDM APIs are anticipated to become a critical asset for 5G SBA-based services realization and operation.

As network operators continue to invest in network modernization and migrate networks towards 5G, vendors from both telecommunications and IT-centric database backgrounds are competing to gain SDM market share. As part of the 5G network build-out, global carriers are committed to continuing the migration toward a unified data environment that began with LTE networks. As a consequence, we expect SDM vendor revenues to reach $10.87 billion by 2027. North America is poised to benefit the most from this trend, becoming a $4.9 billion market by 2027.

Companies in the Report

• Bell Mobility Canada
• Bharti Airtel
• Cell C South Africa
• China Mobile
• Hutchison (H3G)
• Mobily Saudi Arabia
• Movistar Argentina
• Orascom Telecom Algeria
• Safaricom Kenya
• Sprint
• Tele2 Sweden
• Telenor Pakistan
• TeliaSonera
• TIM Brasil
• Verizon Wireless

Key Topics Covered:

1. Executive Summary

2. Subscriber Data Management Technology

2.1 Evolution Towards Next Generation SDM

2.1.1 What is SDM

2.1.2 Subscriber Data Management Network Elements

2.1.3 Legacy Subscriber Data Management Solutions

2.1.4 Converged Data in LTE and 5G Networks

2.1.5 Subscriber Data Management Standardization

2.2 Key Subscriber Data Management Solution Elements

2.3 Subscriber Data Management Deployment Scenarios

3. Subscriber Data Management Market Business Case

3.1 Subscriber Data Management Market Drivers

3.1.1 Capital Expenditure and Operational Expense Reduction

3.1.2 Subscriber Royalty and Churn Reduction

3.1.3 Elevating Customer Experience and Service Delivery

3.1.4 Service Personalization and Development of Unique Services

3.1.5 Providing a Foundation for Business Intelligence Applications

3.1.6 Identity Brokering: Competing with Web Providers

3.1.7 Network Densification and Heterogenous Networks

3.1.8 Private Wireless Networks

3.2 Subscriber Data Management Market Barriers

3.2.1 Privacy Constraints and Regulation

3.2.2 Investment Support

3.2.3 Integration Complexities

3.3 Subscriber Data Management Value Chain

3.4 Subscriber Data Management Industry Roadmap

3.5 Subscriber Data Management Trends

4. Carrier SDM Deployment Case Studies

5. Global SDM Market Analysis and Forecasts 2022-2027

6. Carrier SDM Market Analysis and Forecasts 2022-2027

7. SDM Market by Third-Party Service Provider 2022-2027

For more information about this report visit https://www.researchandmarkets.com/r/hv9hp2

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The post Global Subscriber Data Management Market Report 2022-2027 first appeared on AI-Tech Park.

Ive joins Wurl most recently from Magnite, where she headed West Coast brand development, overseeing CTV growth in various verticals including tech/telco, entertainment, and political. With extensive experience across complex data, attribution and measurement in the CTV space, she is looking forward to spearheading the growth of Wurl’s CTV advertising footprint in the US, and driving value for brands using Wurl’s proprietary machine learning solutions. Ive has more than ten years of digital media experience across platforms, specializing in advanced video with a diverse history working in DSP, SSP and DMP environments.

“As CTV continues its rapid growth, Wurl seeks to continually expand its advertising product line,” said Ive. “I’m looking forward to equipping and educating partners on the tools they need to thrive in this ever-changing media landscape.”

“Having worked extensively in the CTV space, Gina has a proven track record of growing revenue and meeting the evolving needs of customers and partners in this space,” said Johns. “As Wurl continues to innovate the CTV monetization model, Gina’s specialized experience will help leverage and expand on the company’s advertising strategy.”

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