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Nuance and Microsoft will deepen their existing commitments to the extended partner ecosystem, as well as the highest standards of data privacy, security and compliance. Together, with our partner ecosystem, we will put advanced AI solutions into the hands of professionals everywhere to drive better decision-making and create more meaningful connections, as we accelerate growth of Microsoft Cloud for Healthcare and Nuance.

Beyond healthcare, Nuance provides AI expertise and customer engagement solutions across Interactive Voice Response IVR , virtual assistants, and digital and biometric solutions to companies around the world across all industries. The path forward is clearly with Microsoft — who brings intelligent cloud-based services at scale and who shares our passion for the ways technology can make a difference. At the same time, this combination offers a critical opportunity to deliver meaningful and certain value to our shareholders who have driven and supported us on this journey.

The transaction has been unanimously approved by the Boards of Directors of both Nuance and Microsoft. Microsoft expects the acquisition to be minimally dilutive less than 1 percent in fiscal year and to be accretive in fiscal year to non-GAAP earnings per share, based on the expected close timeframe. Non-GAAP excludes expected impact of purchase accounting adjustments, as well as integration and transaction-related expenses. The acquisition will not impact the completion of its existing share repurchase authorization.

Eastern Time regarding this transaction. Its mission is to empower every person and every organization on the planet to achieve more. About Nuance Communications, Inc. A full-service partner trusted by 77 percent of U. Web links, telephone numbers and titles were correct at time of publication but may have changed. Trademark reference: Nuance and the Nuance logo are registered trademarks or trademarks of Nuance Communications, Inc.

All other trademarks referenced herein are the property of their respective owners. In connection with the transaction, Nuance Communications, Inc. Visioneer eventually sold its hardware division to Primax Electronics, Ltd. Two months later, in March, Visioneer acquired ScanSoft from Xerox to form a new public company with ScanSoft as the new company-wide name. In , Nuance confirmed that its natural language processing algorithms supported Apple 's Siri voice assistant. From Wikipedia, the free encyclopedia.

American speech recognition and artificial intelligence technology company. This article has multiple issues. Please help improve it or discuss these issues on the talk page. Learn how and when to remove these template messages. This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources.

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Healthcare has a lot of challenges, ranging from physician burnout, staff attrition, access to care, high and rising costs, information sharing across the broader ecosystem, and patient outcomes and experiences. AI has the potential to solve these not only through the automation of routine tasks that frees doctors and nurses from time-consuming documentation so they can focus on caring or others, or real-time insights delivered within existing clinical workflows across a variety of disparate data sources, but also providing information and access to patients themselves.

When you build technology designed that works with and for people, the results are always better, and this involves three major areas:. Respecting data: Harnessing the power of data is the key to driving the best experiences and outcomes across the broader health care ecosystem, however, finding like-minded organizations that respect and treat data in the same manner is important.

Organizations that uphold the same standards of privacy, compliance, and security is important, particularly when it comes to PHI, health, and life science data. Connectivity and scale : The best digital experiences are interconnected, intuitive, and supportive.

Creating cloud-based solutions that meet their users where they are, and that can enable real-time insights across the clinician, patient, administer, payer, and pharmaceutical aspects is critical to achieving the best outcomes across the patient care ecosystem. In addition to enabling things like real-time upgrades, scale, and disaster recovery, it also unlocks potential for both vertical and horizontal applications, and helps to democratize access and information across the broader ecosystem—all of which help to deliver more support and insight needed for better patient care and outcomes.

Although health care will continue to evolve, it will always be about people caring for people. How are health systems, health plans, and life sciences organizations driving toward that future, both individually and in partnerships?

Benjamin: Without a doubt, the challenges and pressures facing the health care industry at large are extremely complex, which means they cannot and should not be solved in isolation. As these pathways continue to evolve, it will be essential that they are collaboratively built and scalable in ways that create greater access and drive better outcomes. These new patient engagement solutions are designed to not only improve care access and the overall patient experience, but deliver value while reducing overall costs.

Another example is the Precision Imaging Network, which facilitates the collaborative use of AI by streamlining communications, connecting stakeholders, and enabling data-sharing between radiologists and clinical specialists, medical device makers, payers, and AI developers. The result is patient-centric care that includes specific, individually-tailored recommendations throughout the patient journey, from screening and diagnosis through treatment and follow-up.

Right now, pulmonology and neurology are two areas that are actively exploring ways to realize the full value of radiology data and expand access to precision diagnosis and treatment. And what are the most difficult challenges with AI to overcome along the way? AI has certainly been on the hype cycle for many years, and I think that in many ways its promise has outweighed its real-world applications and benefits. This is something we at Nuance are very mindful of. When we look at ways AI can help to alleviate physician burnout, we meet with doctors, patients, health care administrators, and EHR vendors among many others to understand how the work is done, how information is accessed and documented, how care is delivered and received, along with other considerations.

As our general understanding of AI continues to advance, we will be able to harness its power in new ways and we will see the benefits compound and fundamentally transform and improve health care across every facet of the care experience, and I think this will occur in three primary ways:.

Better UX driven by conversational AI and ambient intelligence : One of the more nascent developments right now is in conversational and ambient AI solutions that let clinicians focus on caring for patients instead of entering data. The use cases and applications for patients, caregivers, administrators, payers, and pharmaceutical will only increase in the coming years.

Additionally, these technologies will play a critical role in increasing the adoption of digital health services, as we saw with the dramatic expansion of telehealth, chatbots, and virtual assistants during the pandemic. Security, privacy, compliance : While already an important aspect of all things digital, patients and health care organizations and vendors alike will continue to place a high degree of scrutiny on the ways in which their data is being leveraged and protected.

Scale, interconnectivity, and compute power : AI will enhance the accessibility and value of EHR data for things like research, screening, patient outreach, and population health. That will increase demand for connecting previously siloed health data, while maintaining data privacy and security. The cloud will also be important for facilitating the collaborative, large-scale use of AI and data sets needed to deliver personalized, real-time insights needed to deliver precision patient care.

Benjamin: I truly believe that the most exciting and inspiring aspect of AI is its ability to help people and meaningfully change their lives for the better. It is a powerful and very new technology, so my advice is to not take that responsibility lightly:. The proxy must be sent to every shareholder in advance of the company's annual shareholders meeting.

All proxy statements are public filings made available to the general public by the SEC. The proxy statement's main purpose is to alert shareholders to the annual meeting and provide them information about the issues that will be voted on during the annual meeting, including decisions such as electing directors, ratifying the selection of auditors, and other shareholder-related decisions, including shareholder-initiated initiatives.

Also, proxies must disclose specific detailed information regarding the pay practices for certain executives. Toggle navigation Demo. Experience CompAnalyst: Demo. Executive Compensation. Data Year:. Trend Analysis. Fiscal Year Ended in. View local and national averages for salaries. Enter an executive or company name. Other Executives at this Company.

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