Amba Health and Care, a leader in advanced senior care technology, is proud to announce its partnership with PacSana, a cutting-edge health and safety wearable for older adults. This strategic partnership aims to elevate care standards for residents and drive growth by enhancing care efficiencies for senior healthcare providers. 

Amba Health and Care’s leading-edge care delivery platform leverages AI automation to provide real-time insights into sleep and activity, mobility and wandering, gait, and other wellness indicators. This enables precise, proactive care notifications, allowing senior living operators to deliver timely resident checks and care interventions. By optimizing staff resources and reducing unnecessary tasks, Amba’s solution not only enhances care quality but also significantly lowers operational costs.

“We strive to prevent adverse health events, particularly falls and hospitalizations,” says Ernie Ianace, President of Amba Health and Care. “PacSana’s advanced wearable technology offers precise gait analysis, detecting subtle decreases in gait speed that signal an increased risk of falls and potential cognitive decline. Through advanced AI, Amba Health identifies and analyzes these critical indicators to enhance resident safety and well-being.”

PacSana, The Smart Solution for Safe Aging, elevates care with a custom-designed smart bracelet paired with innovative sensor technology. This bracelet collects detailed data and insights on daily activities, exercise, gait, falls, and more, building a precise understanding of care needs both within and outside the home. With actionable insights, PacSana guides caregivers on the right care, when it’s required, and at the most appropriate location. It’s simple enough for ease of use, yet powerful enough to create an immediate impact.

“Sharing a common mission for improving care across the aging continuum, we are very excited to partner with Amba,” says Feargal Duignan, CEO of PacSana. “This partnership will extend our ability to serve even more seniors and their caregivers across the United States.” 

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The new ioXt platform will deliver a suite of robust tools and services designed to empower manufacturers in securely developing, deploying, and managing smart devices. Key features of the ioXt Secure IoT PaaS include:

– Device Integration: Simplified processes to seamlessly integrate various sensors, actuators, and connectivity modules into your products.

– Smart Device Management: Centralized control over device firmware updates, configuration settings, and operational status.

– Scalable Architecture: Support for a vast number of devices and users, ensuring that your smart products can grow alongside your business.

This strategic investment in Secure IoT PaaS underscores ioXt’s commitment to driving innovation and security in the IoT landscape. By offering a platform that enhances the security and management of smart devices, ioXt aims to set new industry standards and provide manufacturers with the tools they need to succeed in a connected world.

ioXt remains the gold standard for IoT security, continuing to lead the industry with its trusted certification and now, with its cutting-edge Secure IoT PaaS.

For more information, please visit www.ioxtalliance.org.

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Frost & Sullivan has named Evidation the 2024 Honoree of the Best Practices Customer Value Leadership Award for Real-World Evidence Solutions in Healthcare. Frost & Sullivan recognizes Evidation’s transformative approach in harnessing consented real world data directly from individuals to deeply characterize and understand health and disease.

Evidation’s research solutions allow healthcare and life sciences organizations to connect directly with individuals to better measure, understand, and improve health. Evidation uses data from wearables, surveys, and electronic patient-reported outcomes (ePROs) to get a more complete picture of symptoms, disease progression, treatment impact, quality of life, and social determinants of health. Through its decentralized approach and ability to engage millions over the long term, Evidation is reimagining health research to make it faster, more precise, more inclusive, and more transparent.

“Evidation’s dedication to patient-centricity transcends mere rhetoric, and focuses on respect for problems, people, and customers. The emphasis on ‘real’ RWD sets it apart, providing a holistic understanding beyond conventional EHR and claims data,” said Ojaswi Rana, Best Practices Research Analyst. “This approach broadens the focus from patients to at-risk and healthy individuals, contributing to a more nuanced perspective on health and disease.”

The Evidation app is used by a community of almost 5 million people in 97% of U.S. ZIP codes, who are rewarded for engaging in healthy activities and contributing to health research; over one million individuals have participated in research on Evidation. Members earn points, which can be redeemed for cash or charitable donations, by tracking activities like walking, sleeping, and logging food and for participating in research surveys and studies. Evidation prioritizes transparency and consent by always obtaining user permission for data use and sharing. Participants can opt-in to sharing additional health data with researchers, including pharmacy claims and electronic health record data.

“Evidation’s large, highly characterized, and responsive population ensures rapid access to diverse data for bespoke data collection. Its direct, two-way connection with members also enables customers to quickly re-contact patients for follow-up questions and contextualize data sets,” said Unmesh Lal, Research Director at Frost & Sullivan. “The company’s technology platform is also a differentiator, due to its success in driving high engagement and protocol adherence rates at scale over long periods.”

Evidation’s solutions include:

• Recruitment: Recruit directly from Evidation’s engaged, diverse community to rapidly enroll individuals into research.
• Research: Deploy Evidation’s retrospective and prospective research solutions to measure health in everyday life.
• Platform: License Evidation’s platform to conduct long term, digitally enabled, direct-to-participant research programs.

The Best Practices Customer Value Leadership Awards is part of Frost & Sullivan’s ongoing effort to identify visionary companies at the forefront of innovation and growth. For more information on Evidation’s health research solutions, please visit evidation.com.

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Generative AI is reshaping the cloud computing market and is expected to lead to more AI workload-specific cloud platforms in the future, a new research report from leading global technology research and advisory firm Information Services Group (ISG) (Nasdaq: III) says.

The ISG Buyers Guides for Cloud Platforms, produced by ISG Software Research (formerly Ventana Research), say cloud technology, due to its scale and shared services model, is best suited for the delivery of GenAI-enabled applications at scale and the development of general-purpose foundation models.

The reports note specialty cloud providers will become an important consideration for many enterprise cloud architectures. The emergence of domain-specific models, which can be smaller, less computationally intensive and lower the hallucination risks associated with general-purpose models, suggests a future where cloud platforms may become increasingly specialized, the reports say.

“As GenAI continues to evolve, we can expect to see more AI workload-specific cloud platforms in the future,” said Jeff Orr, director for digital technology, ISG Software Research. “GenAI applications require extensive computational resources, and cloud computing platforms provide the scalability enterprises need to allocate resources dynamically based on the needs of various GenAI workloads. This has led to a reshaping of the cloud computing market, with specialized infrastructures catering to computational giants like large language models (LLMs).”

The reports say that by migrating to the cloud, businesses can streamline operations, reduce costs and accelerate innovation. To meet the efficiency and innovation challenge, enterprises are expected to adopt multiple clouds.

ISG projects that by 2027, over three-quarters of enterprises will operate across multiple public cloud computing environments, necessitating the requirement for a unified data platform to virtualize access for business continuity.

When an enterprise CIO or IT leader is considering a cloud platform, the choice between public, private, hybrid, multi-cloud or industry/sovereign cloud should be driven by the organization’s specific objectives, goals and desired outcomes.

“The conversation in enterprises has shifted from ‘Why cloud?’ to which types of cloud for which workloads,” said Orr. “A diversity in cloud service providers now exists to align with specific industry and business requirements rather than a one-size-fits-all agreement.”

In addition to aligning with strategic objectives and operational needs, it is also important for enterprises to consider factors such as cost, resource availability, technical expertise and the potential need for digital transformation when choosing cloud platforms. A well-chosen cloud strategy, the reports say, can drive innovation, enhance customer experiences and provide a competitive edge in the digital marketplace.

The reports cite other benefits of using a cloud service provider over building on-premises servers. They include low capital outlay, faster time-to-market, agility and optimal cloud delivery models from Infrastructure-as-a-Service (IaaS) to Platform-as-a-Service (PaaS) to Software-as-a-Service (SaaS). While on-premises servers will not go away entirely, they must continue to compete effectively with cloud computing as an alternative for many applications and services, the reports say.

The ISG Buyers Guide for Cloud Platforms is designed to provide a holistic view of a software provider’s ability to serve a variety of cloud workloads with a set of cloud platform products. As such the Buyers Guide includes the full breadth of deployment models, services and functionality.

For its 2024 Buyers Guides for Cloud Platforms, ISG assessed software providers across four cloud platform categories – Cloud Computing Platforms, Public Cloud Platforms, Private Cloud Platforms and Hybrid Cloud Platforms – and produced a separate Buyers Guide for each. A total of 13 providers were assessed: Akamai, Alibaba Cloud, Amazon Web Services (AWS), DigitalOcean, Google, Huawei Cloud, IBM, Leaseweb, Microsoft, Oracle, OVHcloud, Tencent and Vultr.

ISG Software Research designates the top three software providers as Leaders in each category. For the 2024 study, the leading providers in ranked order are:

Cloud Computing Platforms: Microsoft, AWS and Google

Public Cloud Platforms: Microsoft, AWS and Google

Private Cloud Platforms: Microsoft, Google and Oracle

Hybrid Cloud Platforms: Microsoft, AWS and Google

”Cloud computing has become as ubiquitous as the power and water in your home or business, but the software platforms for providing this service are still in an evolutionary transition to be able to interoperate across systems in an enterprise and across multiple enterprises,” says Mark Smith, partner of Software Research at ISG. “This Buyers Guide gives enterprises that need to consolidate and simplify their cloud platforms a better understanding of the current cloud landscape.”

The ISG Buyers Guides for Cloud Platforms are the distillation of more than a year of market and product research efforts. The research is not sponsored nor influenced by software providers and is conducted solely to help enterprises optimize their business and IT software investments.

Visit this webpage to learn more about the Buyers Guides for Cloud Platforms and read executive summaries of each of the four reports. The complete reports, including provider rankings across seven product and customer experience dimensions and detailed research findings on each provider, are available by contacting ISG Software Research.

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Masimo (NASDAQ: MASI), today announced that the Masimo W1^® Sport advanced health tracking wearable is gaining a powerful new feature: scientifically based sleep analysis with Sleep Halo. Sleep Halo offers overnight sleep data tracking with an unmatched 70,000+ daily measurements of second-by-second continuous health data.

Sleep Halo uses continuous Masimo pulse oximetry and machine learning to provide meaningful insights into the quality of an individual’s sleep, including overall timing, duration of sleep stages, periods of rest and wakefulness, episodes of desaturation, and more. The nightly analysis, including a Sleep Halo score – an algorithmic calculation representing your overall sleep quality – is visualized on the companion Masimo Health smartphone app. The Sleep Halo score and sleep analysis will be featured in all future Masimo wearables, including the upcoming Masimo Freedom Watch and Band.

Joe Kiani, Founder and CEO of Masimo, said, “We’re truly excited to launch Sleep Halo for Masimo W1 Sport. For 35 years, Masimo has been dedicated to using breakthrough engineering to help improve lives. Masimo W1 is unique among wearables in being able to continuously measure the wearer’s SpO₂ and PR – and that gives us an opportunity to provide a truly informed, robust analysis of how one sleeps. As always, we are committed to providing scientifically backed measurements, which are based on our unmatched, accurate technology, not ‘tarot card logic’ novelties. We benchmarked Sleep Halo with EEG to confirm its stages of sleep are comparable to sleep analysis. We hope that with this new scientifically based Sleep Halo, our customers can improve their sleep hygiene, which has been shown to improve life.”

Today’s consumers are limited to choosing from among a variety of consumer wearables, which use intermittent and often inaccurate data, heavily reliant on movement – which cannot provide reliable or actionable sleep metrics. Masimo W1 – which has been shown to be significantly more accurate than the leading consumer wearable¹ – is designed to provide sophisticated and insightful sleep analysis using technology based on Masimo SET^®, the primary pulse oximetry technology at all top 10 U.S. hospitals as ranked in the 2024 Newsweek World’s Best Hospitals listing.² Rigorously tested against reference laboratory measurements, including EEG data, Sleep Halo makes it possible to bring reliable, insightful sleep analysis to everyday people around the world, on a nightly basis, via a lightweight, comfortable wearable, from the convenience of their own home.

Existing Masimo W1 Sport owners will soon be able to update their watch firmware and Masimo Health app to begin their sleep tracking journey. Masimo W1 is available for purchase at www.Masimo.com.

Also available is Masimo W1 Medical, the first and only FDA-cleared watch to provide continuous, real-time SpO₂ and PR with an indicator when measurements are outside of their normal ranges.

Masimo W1 Sport and Sleep Halo are for general health and wellness purposes.

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Lantronix Inc. (NASDAQ: LTRX), a global leader in compute and connectivity IoT solutions, today announced the launch of its new next-generation desktop or 1U rack mountable EDS5000 series of device servers, supporting 8, 16 or 32 serial managed devices over Ethernet (10/100/100BASE-T or 100/1000 SRP) for easy remote access and management of any serial-based equipment, such as medical devices, POS terminals or security equipment.

“With continued adoption of industrial automation and increasing demand for remote environments, Lantronix is leading the charge by offering a new family of world-class device servers that enable its customers to maintain and expand serial connections over Ethernet for better management and visibility,” said Mathi Gurusamy, chief strategy officer for Lantronix. “With this new family of device servers, Lantronix is poised to meet growing market demand for secure, remote device server solutions.”

The global serial device server market size will reach $401.47 million by 2028, up from $270.59 million in 2022, according to Maia Research Analysis’ Global Serial Device Server Market Report published in 2022.

Key features of the EDS5000 series servers include:

• IPv6 technology for faster serial speeds than previous EDS versions (921K vs 230K Baud).
• RS232, RS422 and RS485 support, which allows for multiple serial protocols to be supported in a single solution, eliminating the need for separate devices for each protocol.
• Redundant power inputs, one AC input and one DC allowing for installation in a variety of environments based on power availability. AC and DC can also be used concurrently for redundancy.
• Ethernet connection via 10/100/1000 copper RJ45 or 100/1000 SFP to support a variety of LAN/WAN options in a single solution. It can connect via copper Ethernet when it’s less than 100 meters in distance, and the Fiber SFP port can be used for distances beyond 100 meters or for additional security.
• Wide operating temperature of -10°C to +60°C to accommodate most installation environments.
• Comprehensive Device Security Framework, delivering enterprise-level security with an unprecedented level of intelligence and safety with SSL/TLS, AES and SSH built in.
• Easy set-up and configuration using Lantronix’s Windows-based Provisioning Manager, which can be used locally or remotely with the Lantronix Percepxion device management platform, providing single-pane-of-glass cloud management.

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Vultr, the world’s largest, privately-held cloud computing platform, today released a new industry report, The New Battleground: Unlocking the Power of AI Maturity with Multi-Model AI. The groundbreaking new study reveals a clear correlation between an organization’s AI maturity and its ability to achieve superior business outcomes, outpacing industry peers in revenue growth, market share, customer satisfaction, and operational efficiency.

Commissioned by Vultr and conducted by S&P Global Market Intelligence, the research surveyed over 1,000 US-based enterprise IT and digital transformation decision-makers responsible for their organization’s AI strategy across industries, including healthcare & life sciences, government/public sector, retail, manufacturing, financial services, and more. Of the respondents surveyed, almost three-quarters (72%) are at higher levels of maturity of AI use. The report also includes a qualitative perspective on AI use by enterprises of varying sizes across the United States through in-depth interviews with AI decision-makers and practitioners.

“As organizations worldwide capitalize on strategic investments in AI, we wanted to look at the state of AI maturity,” said Kevin Cochrane, CMO of Vultr’s parent company, Constant. “What we’ve found is that transformational organizations are winning the hearts, minds, and share of wallets while also improving their operating margins. AI maturity is the new competitive weapon, and businesses must invest now to accelerate AI models, training, and scaling in production.”

The Age of Multi-Model AI

The number of models actively used within an organization is a reliable measure of its deployed AI capabilities and overall AI maturity. The data reveals that advanced AI adopters leverage a multitude of models simultaneously as part of a multi-model approach.

On average, the number of distinct AI models currently operational stands at 158 with projections suggesting this number will rise to 176 AI models within the next year. This growth highlights remarkable acceleration in AI adoption across industries, underscored by the 89% of organizations anticipating advanced AI utilization within two years.

AI proficiency and maturity is the new business performance battleground

AI is poised to permeate throughout the enterprise with 80% adoption anticipated across all business functions within 24 months. This will include AI being embedded across all applications and business units.

As AI builds on its new foothold across businesses, there will be an immense impact on enterprise-wide performance. According to the report, those with transformational AI practices reported that they outperformed their peers at higher levels. Specifically, 50% of transformational companies are performing “significantly better” against industry peers than those at operational levels, while a large majority of AI-driven organizations say they improved their 2022/2023 year-over-year performance in customer satisfaction (90%), revenue (91%), cost reduction/margin expansion (88%), risk (87%), marketing (89%), and market share (89%). Meanwhile, nearly half (40-45%) of organizations say AI is having a “major” impact on market share, revenue, customer satisfaction, marketing improvements, and cost and risk reduction.

“AI’s transformative impact is undeniable—it’s devouring industries and is becoming ubiquitous in every facet of business operations. This necessitates a new era of technology, underpinned by a composable stack and platform engineering to effectively scale these innovations,” said Cochrane.

AI spending is expected to outpace IT spend

To fully harness AI’s potential, 88% of the enterprises surveyed intend to increase their AI spend in 2025 with 49% expecting moderate to significant increases. Findings related to key infrastructure, partner, and implementation strategies include:

• For cloud-native applications, two-thirds of organizations are either custom-building their models or using open-source models to deliver functionality.
• In 2025, the AI infrastructure stack will be hybrid cloud with 35% of inference taking place on-prem and 38% in the cloud/multi-cloud.
• Thanks to the skills shortage, 47% of enterprises are leveraging a partner to help them with strategy and implementation, and deployment of AI at scale. Only 15% are leveraging hyperscalers such as AWS, GCP, or Azure.
• Open, secure, and compliant are the top attributes of cloud platforms for scaling AI across the organization, geographies, and to the edge.

“For years the hyperscalers have dominated the infrastructure market, relying on scale, resources, and technological expertise, but that is all about to change,” added Cochrane. “Over the next decade, everything will be rebuilt with AI at the core, with organizations integrating the principles of cloud engineering into their operations. As a result, we will see the rise of AI specialists and independents as they empower organizations to do transformative work and gain a competitive edge.”

Challenges to scaling AI across all enterprises

As the race to AI heats up, it will not be without its share of obstacles. Budget limitations, building or obtaining AI algorithms, lack of skilled personnel, and data quality are among the top hurdles organizations say they must resolve to graduate to the next stage of AI maturity.

For those at a transformational level of maturity, governance (30%) becomes much more of an issue, while company culture is the larger issue for those still in the accelerating stage

For more information, or to download a copy of the full report, please visit here.

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Nihon Kohden, renowned for its history of excellence in providing innovative high quality, reliable medical technology that improves the way healthcare is practiced, is partnering with Medasense to introduce its nociception monitor to the Japanese market. This cutting-edge device, with its state-of-the-art AI powered NOL – Nociception Level Index®, provides real-time, objective pain monitoring, enabling the personalization and optimization of pain treatment. It will be accessible to hospitals and clinics throughout Japan through Nihon Kohden’s extensive distribution channels pending regulatory approval.

Medasense’s CEO & Founder, Galit Zuckerman, expressed enthusiasm about the collaboration: “We are honored to partner with Nihon Kohden, a company with a long history of excellence, that shares our vision of improving patient care through innovative solutions. Our mission is to help all patients suffer less from pain and the adverse effects of pain medication. Nihon Kohden’s established clinical, technological leadership and expertise in the Japanese market make them the perfect partner to distribute our nociception monitor.”

NOL monitoring provides an AI powered, clinically validated index to objectively quantify the physiological response to pain (nociception) supporting clinicians in delivering personalized anesthesia tailored to patient requirements. With over 40 peer reviewed publications, clinical studies have demonstrated that NOL-guided analgesia resulted in intraoperative opioid sparing, and improved post operative pain scores and patient recovery.^1,2

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Revolutionizing AIoT with Wi-Fi HaLow Mesh 
Paul Lai, CEO of AsiaRF, states, “The launch of our revolutionary Wi-Fi HaLow Mesh technology sets a new standard for AIoT connectivity. Our firm commitment to enhancing wireless infrastructure paves the way for innovative global partnerships.”

Strategic Collaboration and Standards Development 
As proactive participants in the Wi-Fi Alliance and Wireless Broadband Alliance, AsiaRF is instrumental in shaping the new standards for Wi-Fi HaLow Mesh architecture. Future publications, including a white paper featuring case studies on the practical applications of HaLow Mesh technology in U.S. collaborations, will further promote this innovative architecture.

Key Features of Wi-Fi HaLow Mesh Technology:

• Extended Coverage and Stability: Utilizes advanced frequency and modulation techniques to maintain reliable connections in challenging environments.
• Robust Mesh Network: Features automatic routing and backup paths, ensuring network resilience and seamless connectivity.
• Scalability for Major IoT Projects: Supports a broad spectrum of AIoT applications, fulfilling the demands of smart city infrastructure.

Compliance and Certification
AsiaRF’s Wi-Fi HaLow Mesh Gateway has received Wi-Fi HaLow certification from the Wi-Fi Alliance, affirming its industry compliance and reliability. Powering these devices, Morse Micro’s Wi-Fi HaLow chips are at the core of AsiaRF’s Wi-Fi HaLow module MM610X-001, known for their ultra-low power consumption and long-range capabilities, ideal for IoT applications.

The Wi-Fi HaLow module MM610X-001 complies with international regulations, including the FCC, IC, CE, and Japan’s TELEC, ensuring it meets stringent global safety standards. AsiaRF’s full range of Wi-Fi HaLow Mesh gateways, which includes the Wi-Fi HaLow Mesh indoor gateway (ARFHL-AP), Wi-Fi HaLow Mesh portable gateway (ARFHL-UM), and Wi-Fi HaLow Mesh outdoor model (ARFHL-OD), also adheres to these standards, ensuring robust and secure wireless networking for diverse AIoT environments.

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M31’s LPDDR5/5X/5T memory IP offers exceptional data transfer rates, ensuring optimal performance for HPC applications, including data centers, AI workloads, and advanced scientific computing. At the same time, the LPDDR5 design emphasizes power efficiency, reducing energy consumption by up to 30% compared to previous generations, making it suitable for large-scale computing environments where energy efficiency is critical. Data rates of up to 9600 Mbps facilitate faster processing speeds and more efficient data handling, which are essential for real-time analysis and intensive computing tasks. Utilizing advanced error correction technology ensures higher data integrity and reliability, which is crucial for maintaining accuracy in complex computing processes. The LPDDR memory module is designed to occupy minimal space, providing flexibility in design and integration, making it particularly suitable for compact and high-density computing environments.

Additionally, M31’s LPDDR memory IP solutions are specifically tailored for data center applications, enhancing processing capabilities and reducing operational costs, thereby improving energy efficiency. In the field of AI, they accelerate model training and inference speeds, which are critical for AI and machine learning tasks. Meanwhile, LPDDR memory IP also shows strong demand in the edge computing market, where its high performance and low power consumption features help manufacturers build smaller, lighter, and more powerful edge computing devices. In addition to LPDDR, M31 is actively researching and developing other advanced memory technologies such as Graphics Double Data Rate (GDDR) memory. GDDR memory is optimized for graphics applications, providing extremely high data transfer rates and excellent performance, making it suitable for gaming, virtual reality, and professional graphics workstations. Utilizing M31’s silicon-proven memory IP helps to meet the increasing high-performance computing demands and satisfy the AI application market, accelerating customers’ product development processes. As the pace of AI evolution accelerates, the role of IP in SoC chip design becomes increasingly important. As a professional IP supplier, M31 is committed to innovation and excellence, keeping pace with the developments in the semiconductor industry and continually driving technological advancements.

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