Artificial Intelligence
Skylight Health Expands Data Strategy to Utilize Amazon Web Services Infrastructure to Improve Patient Care, Health Outcomes, and Clinical Efficiencies
TORONTO, Feb. 23, 2021 (GLOBE NEWSWIRE) — Skylight Health Group Inc. (TSXV:SHG; OTCQX:SHGFF) (“Skylight Health” or the “Company”), one of the largest multi-specialty healthcare systems in the United States, today announced that it has partnered with Amazon Web Services (“AWS”) to utilize their infrastructure and tools as part of a big data strategy. Skylight Health Group will combine data from hundreds of different sources and use tools available in AWS, from Business Intelligence platforms to Artificial Intelligence to identify ways to improve patient care while increasing clinic efficiency and revenue potential.
The Skylight Health approach will enable acquired clinics to take advantage of guidance from its centralized team of clinical and operational experts whose insights will be powered by this big data strategy.
Aggregating the data from its clinics will allow Skylight Health Group to:
- Improve patient outcomes by identifying key marks of health and disease, reduce hospital visits, enhance monitoring, and increase satisfaction and quality of life by tracking metrics that are important to patients.
- Increase patient engagement in their own health by identifying and targeting patients who may benefit from preventative care, improve treatment plan compliance through targeted communication and education, and remove barriers allowing patients to become active in their own care.
- Improve safety by identifying patients at risk, and then enabling for appropriate care and monitoring.
- Increase operational efficiency by decreasing the administrative burden on physicians and allowing for ways to improve billing and revenue cycle management.
“Centralizing data from across our clinic network will allow Skylight Health to leverage the latest technology in identifying opportunities for growth and is a key component in our strategy to improve patient care,” said Christopher Smith, SVP Digital Health, Skylight Health. “The analyses made possible by bringing this data together will allow our team to recognize potential gaps in care, strengthen the way we engage patients, and enable our team to identify opportunities for improvement not previously achievable.”
This is an initial step in Skylight Health Group’s strategy to use centralized data to improve patient outcome and clinical efficiency. As Skylight Health Group continues to acquire additional clinics, utilizing this approach will identify further opportunities to use data to increase value for patients, physicians, and the organization.
About Skylight Health Group
Skylight Health Group (TSXV:SHG; OTCQX:SHGFF) is a healthcare services and technology company, working to positively impact patient health outcomes. The Company operates a US multi-state health network that comprises of physical multi-disciplinary medical clinics providing a range of services from primary care, sub-specialty, allied health and laboratory/diagnostic testing. The Company owns and operates a proprietary electronic health record system that supports the delivery of care to patients via telemedicine and other remote monitoring system integrations. With a patient roster of over 155,000 patients, the Company’s operations servicing 16 states and continues to expand in services and locations both organically and by way of strategic acquisitions.
The Company primarily operates a traditional insurable fee-for-service model contracting with Medicare, Medicaid and other Commercial Payors. The Company also offers a disruptive subscription-based telemedicine service for the un/under-insured population who have limited access to urgent care due to cost.
For more information, please visit www.skylighthealthgroup.com or contact:
Investor Relations:
Jackie Kelly
[email protected]
416-301-2949
Currency Usage, Cautionary and Forward-Looking Statements
All currency contained in this Press Release represent Canadian Dollars unless otherwise stated.
Statements in this news release that are forward-looking statements are subject to various risks and uncertainties concerning the specific factors disclosed here and elsewhere in Skylight Health’s filings with Canadian securities regulators. When used in this news release, words such as “will, could, plan, estimate, expect, intend, may, potential, believe, should,” and similar expressions, are forward-looking statements.
Forward-looking statements may include, without limitation, statements regarding the Company’s unaudited financial results and projected growth.
Financial forecasts in this release are based on the current revenue run rate of Skylight Health, all of its recently completed acquisitions, and its pending acquisitions. This forecast is subject to the closing of any and all pending acquisitions, and successful integration of all its current and future acquisitions without any loss or interruptions of revenues during the integration and transition process. The Company may revise this forecast from time to time and investors should not solely rely on this forward-looking guidance when making an investment decision.
Although Skylight Health has attempted to identify important factors that could cause actual results, performance or achievements to differ materially from those contained in the forward-looking statements, there can be other factors that cause results, performance or achievements not to be as anticipated, estimated or intended, including, but not limited to: the ability of Skylight Health to execute on its business strategy, continued revenue growth in accordance with management’s expectations, operating expenses continuing in accordance with management expectations, dependence on obtaining regulatory approvals; Skylight Health being able to find, complete and effectively integrate target acquisitions; change in laws relating to health care regulation; reliance on management; requirements for additional financing; competition; hindering market growth or other factors that may not currently be known by the Company.
There can be no assurance that such information will prove to be accurate or that management’s expectations or estimates of future developments, circumstances or results will materialize. As a result of these risks and uncertainties, the results or events predicted in these forward-looking statements may differ materially from actual results or events.
Accordingly, readers should not place undue reliance on forward-looking statements. The forward-looking statements in this news release are made as of the date of this release. Skylight Health disclaims any intention or obligation to update or revise such information, except as required by applicable law, and Skylight Health does not assume any liability for disclosure relating to any other company mentioned herein.
Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.
Artificial Intelligence
TEHTRIS unveils exclusive background and evidence of RosyStyle Affair
PARIS, March 19, 2024 /PRNewswire/ — TEHTRIS, a leading company in the automatic, real-time, non-human-action neutralization of cyberattacks, has just published its latest Threat Intelligence report, revealing, for the first time, the intricate details of an international fraud of almost 40 million euros, perpetrated on an online investment platform called RosyStyle.
A large-scale case targeting individuals via RosyStyle platform
After the arrest of a few members of its cybercriminal group, this case could easily have gone unnoticed. However, TEHTRIS reveals behind-the-scenes details of this fraud, centered on bogus online investments, as well as evidence that the cybercriminal group remains active.
Overview of the RosyStyle case:
Status: Despite the arrest of some members, the cybercriminals continued to defraud numerous retail investors, enticing them to transfer large sums of money to their bank accounts.Exclusive Evidence: from IP addresses to websites, TEHTRIS unveils exclusive screenshots of login pages and platform’s backend interface, as well as evidence of the criminals’ access to victims’ bank transactions.Persistent activity: beyond the initial case, the compromised source code has been adapted under several different brand names.Cybersecurity is a collective responsibility
“Our vision of cybersecurity goes far beyond the conventional role of a solution provider. We are committed to understanding, anticipating and mitigating threats to ensure the protection of public and private organizations of all sizes, as well as individuals, in the digital economy. By offering not only cybersecurity solutions, but also vital information to arm them against evolving threats, we aspire to be a trustful source of information, thus contributing to a safer digital future for all,” explains the TEHTRIS team.
About TEHTRIS
Founded in 2010, TEHTRIS is the publisher of the TEHTRIS XDR PLATFORM, hyper-automated cyber defense solution that detects and neutralizes cyberattacks in real time, without human action. With its “Security & Ethics by design” approach, TEHTRIS provides users with a holistic vision of their infrastructure, while guaranteeing data protection. TEHTRIS XDR PLATFORM is compatible with market security solutions via its APIs and integrated orchestrator. The solution monitors, analyzes and neutralizes threats for major organizations in transport, engineering, services and government. TEHTRIS keeps a constant watch on cybercrime and listens closely to its customers, helping them to minimize risks and deal with the unpredictable. In 2020, TEHTRIS raised a record €20 million in Series A funding and a second €44 million in Series B funding in 2022.
Contenu | EN | Rapport Threat Intel Feb24
CONTACT: [email protected]
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Artificial Intelligence
Segway Collaborates with NVIDIA to Introduce NVIDIA Isaac-powered Nova Orin Developer Kit for Autonomous Mobile Robots
LOS ANGELES, March 19, 2024 /PRNewswire/ — Segway Robotics, a global leader in autonomous mobile robot (AMR) technologies, is collaborating with NVIDIA to introduce a new developer kit which will expand the frontiers of robotic technologies. The Nova Orin Developer Kit (DevKit), unveiled at NVIDIA GTC, a global AI conference running March 18-21 at the San Jose Convention Center and online, enables creators to bring their robotic innovations to market more swiftly and efficiently.
Building upon the capabilities of the Nova Carter development robot, which Segway teamed with NVIDIA to introduce last year, the Nova Orin DevKit makes robotics development more accessible. It combines Segway’s expertise in robotic mobility solutions with NVIDIA AI and GPU accelerated computing, aiming to provide a platform for developing robotic applications that can navigate and interact with the world in ways previously unimaginable.
Responding to the developer community’s feedback on the Nova Carter, the Nova Orin DevKit has been crafted to offer an even greater level of customization without sacrificing simplicity in assembly and calibration. It is an all-in-one, fully integrated compute and sensing solution ideal for solving complex AMR challenges in large and highly dynamic environments.
Powered by the NVIDIA Jetson AGX Orin system-on-module, the Nova Orin DevKit is equipped with stereo cameras (RGBD) and high-speed surround cameras to provide 3D surround vision. It comes preinstalled with NVIDIA Isaac platform components (including sensor drivers, a nominal calibration file, as well as NVIDIA Isaac Perceptor packages), allowing users to experience the Isaac Perceptor stack right out of the box.
The Nova Orin DevKit can accelerate the development of state-of-art autonomy with powerful and proven software and hardware tools, to use with automated guided vehicles, autonomous forklifts, indoor and outdoor delivery robots, and many other applications.
“With the Nova Orin DevKit, we are pushing the boundaries of what’s possible in AI robotics,” said Tony Ho, Vice President of Business Development at Segway. “Since introducing Nova Carter, the feedback from developers has been incredibly insightful. Recognizing the critical importance of time to market in the robotics sector, the Nova Orin DevKit is our answer to accelerating innovation and success for our customers.”
The Nova Orin DevKit, alongside Nova Carter, represents an important step in reducing the development time for robotics projects. Additionally, Segway’s expertise in supply chain management is set to assist robotics companies in scaling their operations faster and more smoothly.
The Nova Orin DevKit will be available for order starting in early April. Developers, researchers, and companies interested in exploring the frontiers of AI robotics are encouraged to join this exciting journey. More details on The Nova Orin DevKit can be found at Segway Robotics website: https://robotics.segway.com/nova-dev-kit/
Media Enquiries: Ling Ding, [email protected]
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Artificial Intelligence
Databricks and NVIDIA Deepen Collaboration to Accelerate Data and AI Workloads with the Data Intelligence Platform
SAN FRANCISCO, March 18, 2024 /PRNewswire/ — Databricks, the Data and AI company, today announced an expanded collaboration and commitment to deeper technical integrations with NVIDIA during the company’s flagship GTC 2024 conference. Together, Databricks and NVIDIA will optimize data and AI workloads on the Databricks Data Intelligence Platform. The collaboration builds on NVIDIA’s recent participation in Databricks’ Series I funding round.
“We’re thrilled about the evolution of our partnership with NVIDIA that will drive more value for customers through the advancement of Databricks workloads with NVIDIA accelerated computing and software,” said Ali Ghodsi, co-founder and CEO at Databricks. “From analytics use cases through AI, NVIDIA has already powered our foundational model initiatives, and with our mutual work on query acceleration, we’ll be able to demonstrate value for more enterprises.”
“Every company’s proprietary data is a crucial asset for creating intelligence in the era of AI,” said Jensen Huang, founder and CEO of NVIDIA. “By accelerating data processing, NVIDIA and Databricks can supercharge AI development and deployment for enterprises seeking greater insights and better outcomes with more efficiency.”
GPU acceleration for end-to-end generative AI solutionsOrganizations are rapidly adopting Databricks’ Data Intelligence Platform to build and customize generative AI solutions trained on their data and tailored to their business and domain. Databricks Mosaic AI and NVIDIA are collaborating on model training and inference to advance the state of building and deploying generative AI models on Databricks’ end-to-end platform. Databricks offers a comprehensive set of tools for building, testing and deploying generative AI solutions with uncompromising control and governance over both data and models.
For generative AI model training, Databricks Mosaic AI relies on NVIDIA H100 Tensor Core GPUs, which are optimized for developing LLMs. Mosaic AI is able to harness the power of NVIDIA accelerated computing and offer an efficient and scalable platform for customizing LLMs for customers.
For model deployment, Databricks leverages NVIDIA accelerated computing and software throughout the stack. A key component of Databricks’ Mosaic AI Model Serving is NVIDIA TensorRT-LLM software, which delivers state-of-the-art performance and ensures the solution is cost-effective, scalable and performant. Mosaic AI was a TensorRT-LLM launch partner and enjoys a close technical collaboration with the NVIDIA team.
Photon with NVIDIA accelerated computing speeds query performance Databricks plans to develop native support for NVIDIA accelerated computing into its next-generation vectorized query engine, Photon, to deliver improved speed and efficiency for customers’ data warehousing and analytics workloads. Photon powers Databricks SQL, Databricks’ serverless data warehouse with industry-leading price-performance and TCO. This advances and builds on the growth of Databricks customers using GPUs for query processing on their data.
Databricks for machine learning and deep learning Machine learning (ML) and deep learning on Databricks have been critical workloads. Databricks Machine Learning delivers pre-built deep learning infrastructure to include NVIDIA GPUs, and the Databricks Runtime for ML includes pre-configured GPU support including drivers and libraries. With these tools, users are able to both get started quickly with the right NVIDIA infrastructure, and keep the environment consistent across users. Databricks supports NVIDIA Tensor Core GPUs on all three major clouds to enable high-performance single-node and distributed training for ML workloads.
The companies plan to further the momentum of the Data Intelligence Platform to enable more organizations to create their next generation of data and AI applications with quality, speed and agility.
About DatabricksDatabricks is the Data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. To learn more, follow Databricks on LinkedIn, X and Facebook.
Press contact:[email protected]
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