Documentation Has Never Been So Easy

DeepScribe is an AI-powered medical scribe that automates medical documentation for clinicians simply by listening in on their natural conversation with a patient. DeepScribe stands out because it doesn't require prompting or wake-words to use, and notes integrate directly with your EHR.

DeepScribe is on a mission to bring the joy of care back to medicine by automating medical documentation and saving clinicians 3 hours per day.

See DeepScribe in Action!

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Documentation Has Never Been So Easy

DeepScribe is an AI-powered medical scribe that automates medical documentation for clinicians simply by listening in on their natural conversation with a patient. DeepScribe stands out because it doesn't require prompting or wake-words to use, and notes integrate directly with your EHR.

DeepScribe is on a mission to bring the joy of care back to medicine by automating medical documentation and saving clinicians 3 hours per day.

See DeepScribe in Action!

View Now

DataOps: Aligning Business Goals with Data Strategy

As this research Harvard Business Review Analytics Services demonstrates, through DataOps, people, processes, and technologies across the organization begin to align. Teams that were split apart start working together, projects that took weeks to deploy now go live within days or hours, and outcomes are realized more frequently and more reliably.

It has never been more critical to be agile and data-driven than today. Read this report to learn about proven practices, pitfalls to avoid, and roads to DataOps success.

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Open Source and Cloud-Based Software to Power AI Initiatives

Enterprises are using artificial intelligence (AI) and machine learning (ML) to generate significant business benefits. Most technology leaders are using open source tools and hybrid cloud based infrastructure to power their AI/ML projects. Red Hat and Pulse surveyed 100 enterprise IT and data leaders who use AI and ML to understand why they implemented the technology, the types of AI/ML tools they rely on, and the most popular initiatives they’re investing in.

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Open Source and Cloud-Based Software to Power AI Initiatives

Enterprises are using artificial intelligence (AI) and machine learning (ML) to generate significant business benefits. Most technology leaders are using open source tools and hybrid cloud based infrastructure to power their AI/ML projects. Red Hat and Pulse surveyed 100 enterprise IT and data leaders who use AI and ML to understand why they implemented the technology, the types of AI/ML tools they rely on, and the most popular initiatives they’re investing in.

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Ensuring Consistent Defense-in-depth Across On-premises and Cloud-native Workloads

As organizations increase their use of public cloud, they continue to reap the benefits of business agility, flexibility, and scalability. Yet, consistently maintaining an organization's security posture across its on-premises and public cloud environments can be difficult and cumbersome. This is especially challenging as traffic moves across core and edge networks and the public cloud.

As Enterprise Strategy Group (ESG) research has uncovered, respondents have major concerns with securing cloud-native applications running in hybrid clouds and multi-cloud environments, and many are already experiencing security breaches as a result. Read this Business Justification Brief to discover how to close cybersecurity gaps for hybrid and cloud-native applications

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Ensuring Consistent Defense-in-depth Across On-premises and Cloud-native Workloads

As organizations increase their use of public cloud, they continue to reap the benefits of business agility, flexibility, and scalability. Yet, consistently maintaining an organization's security posture across its on-premises and public cloud environments can be difficult and cumbersome. This is especially challenging as traffic moves across core and edge networks and the public cloud.

As Enterprise Strategy Group (ESG) research has uncovered, respondents have major concerns with securing cloud-native applications running in hybrid clouds and multi-cloud environments, and many are already experiencing security breaches as a result. Read this Business Justification Brief to discover how to close cybersecurity gaps for hybrid and cloud-native applications

View Now

Ensuring Consistent Defense-in-depth Across On-premises and Cloud-native Workloads

As organizations increase their use of public cloud, they continue to reap the benefits of business agility, flexibility, and scalability. Yet, consistently maintaining an organization's security posture across its on-premises and public cloud environments can be difficult and cumbersome. This is especially challenging as traffic moves across core and edge networks and the public cloud.

As Enterprise Strategy Group (ESG) research has uncovered, respondents have major concerns with securing cloud-native applications running in hybrid clouds and multi-cloud environments, and many are already experiencing security breaches as a result. Read this Business Justification Brief to discover how to close cybersecurity gaps for hybrid and cloud-native applications

View Now

Ensuring Consistent Defense-in-depth Across On-premises and Cloud-native Workloads

As organizations increase their use of public cloud, they continue to reap the benefits of business agility, flexibility, and scalability. Yet, consistently maintaining an organization's security posture across its on-premises and public cloud environments can be difficult and cumbersome. This is especially challenging as traffic moves across core and edge networks and the public cloud.

As Enterprise Strategy Group (ESG) research has uncovered, respondents have major concerns with securing cloud-native applications running in hybrid clouds and multi-cloud environments, and many are already experiencing security breaches as a result. Read this Business Justification Brief to discover how to close cybersecurity gaps for hybrid and cloud-native applications

View Now