Why Did Microsoft Acquire Nuance?

Nuance provides the AI layer at the healthcare point of delivery and is a pioneer in the real-world application of enterprise AI.

Microsoft has announced the acquisition of AI-based technology company Nuance Communications for $19.7 billion in an all-cash transaction. This is Microsoft’s second-costliest acquisition after LinkedIn ($26.2 billion in 2016). The transaction is expected to close this year.

Massachusetts-based Nuance’s voice recognition technology power’s Apple’s virtual assistant, Siri. Nuance also makes software for the healthcare and automotive sectors. 

The acquisition of Nuance will expand Microsoft’s capabilities in voice recognition and transcription technology. Nuance’s major clinical speech recognition products include Dragon Ambient eXperience, Dragon Medical One, and PowerScribe One. All these SaaS offerings are built on Microsoft Azure.

AIM Daily XO

Join our editors every weekday evening as they steer you through the most significant news of the day, introduce you to fresh perspectives, and provide unexpected moments of joy
Your newsletter subscriptions are subject to AIM Privacy Policy and Terms and Conditions.

Microsoft-Nuance deal

Microsoft has been stepping up its efforts to provide industry-specific cloud offerings. Microsoft Cloud for Healthcare was made generally available in 2020 to address the rapidly transforming healthcare industry’s needs. The acquisition of Nuance is part of its industry-specific cloud strategy.

“Nuance provides the AI layer at the healthcare point of delivery and is a pioneer in the real-world application of enterprise AI. AI is technology’s most important priority, and healthcare is its most urgent application. 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 the growth of Microsoft Cloud for Healthcare and Nuance,” said Satya Nadella.


Download our Mobile App



Notably, Nuance and Microsoft have collaborated in the past for building technology for recognising and transcribing speech with ambient clinical intelligence (ACI) technologies. The company also hopes to double its total addressable market (TAM) in the healthcare space to nearly $500 billion. 

Founded in 1992, Nuance currently employs over 7,000 personnel. Nuance’s CEO Mark Benjamin will keep his post even after the acquisition and will report to Scott Guthrie, executive vice president of Cloud & AI at Microsoft. 

Though Microsoft has not made any overtures, Nuance’s offerings could be potentially combined with GPT-3. Microsoft secured the exclusive license to GPT-3 (developed by OpenAI) in September 2020. During the time of acquisition, Microsoft said GPT-3 could aid in areas such as “writing and composition, describing and summarizing large blocks of long-form data (including code), converting natural language to another language”.

However, OpenAI has warned against GPT-3’s use in high-stake healthcare processes and listed medical and psychiatric diagnosis under the ‘unsupported use’ of the model. But there are many other areas where the cross-pollination of Nuance and GPT-3 could yield remarkable results, including medical documentation and transcription. 

Apart from Nuance Communications, Microsoft is also in talks to buy popular VoIP and messaging platform Discord for $10 billion. The gaming-focused app allows users to interact with each other by joining servers or direct messaging; as many as 100 servers can be hooked up at a time.

In 2021, Microsoft acquired ZeniMax Media, the parent company of Bethesda Softworks. While the announcement of the acquisition was made in September last year, the $7.5 billion deal was locked in recently after getting regulatory approval from the EU.

Microsoft in healthcare

Microsoft has been working towards expanding its footprint in the healthcare services industry. Some of its initiatives include:

  • In 2020, Microsoft launched Microsoft Cloud for Healthcare. It provides integrated capabilities for delivering automated and efficient workflows and deep data analysis functionalities for structured and unstructured data. It includes services such as Microsoft 365, Azure, Dynamics 365, and Power Platform for faster and easier support for customers, end-to-end security, interoperability, and compliance of health data.
  • In February this year, Microsoft also announced new updates for this service, including features such as “virtual health, continuous patient monitoring, and care coordination, and support for eight new languages.
  • While Microsoft has been working on healthcare initiatives for years, the efforts were formalised in 2018 with the setting up of Microsoft Healthcare team. Peter Lee, VP at Microsoft Research, had then said that the company aimed to bring health data to the cloud more securely and create services to process such information.
  • In 2019, Microsoft introduced an Azure API for fast healthcare interoperability resource (FHIR). It allows secure transfer of data and health system interoperability.
  • Microsoft has been investing heavily in the artificial intelligence space to further medical research. Under its AI for health banner, Microsoft has introduced a five-year philanthropic program to empower non-profit organisations and researchers to tackle major healthcare challenges, including the COVID-19 pandemic.
  • Microsoft runs Project Hanover to develop and promote Curation-as-a-service (CaaS). With Project Hanover, Microsoft has developed a general framework for combining deep learning with probabilistic logic to compensate for the lack of labelled data. “Motivated by biomedical applications, we expanded the scope of machine reading from single sentences to cross-sentence and document-level, and proposed novel neural architectures such as graph LSTMs for incorporating and reasoning with linguistic constraints,” an official statement read.

Big tech eyes healthcare

Apart from Microsoft, other tech giants are also making major inroads into healthcare tech:

Google: In January, Google finalised its $2.1 billion acquisition of Fitbit. The company has also launched Care Studio for clinicians to organise patient data. Google Cloud and Amwell, a major telehealth platform, have entered a $100 million partnership.

Amazon: Launched in 2019, Amazon Care was an exclusive service for Amazon employees. Under this service, beneficiaries could connect to medical professions for both virtual care and in-person assistance (whenever applicable). Recently, Amazon made this service available across the US, covering millions of families. Amazon also introduced Amazon Pharmacy in November.

Apple: Apple has a range of wearables for health monitoring, including Apple Watch.

Sign up for The Deep Learning Podcast

by Vijayalakshmi Anandan

The Deep Learning Curve is a technology-based podcast hosted by Vijayalakshmi Anandan - Video Presenter and Podcaster at Analytics India Magazine. This podcast is the narrator's journey of curiosity and discovery in the world of technology.

Shraddha Goled
I am a technology journalist with AIM. I write stories focused on the AI landscape in India and around the world with a special interest in analysing its long term impact on individuals and societies. Reach out to me at shraddha.goled@analyticsindiamag.com.

Our Upcoming Events

24th Mar, 2023 | Webinar
Women-in-Tech: Are you ready for the Techade

27-28th Apr, 2023 I Bangalore
Data Engineering Summit (DES) 2023

23 Jun, 2023 | Bangalore
MachineCon India 2023 [AI100 Awards]

21 Jul, 2023 | New York
MachineCon USA 2023 [AI100 Awards]

3 Ways to Join our Community

Telegram group

Discover special offers, top stories, upcoming events, and more.

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Subscribe to our Daily newsletter

Get our daily awesome stories & videos in your inbox
MOST POPULAR

Council Post: Evolution of Data Science: Skillset, Toolset, and Mindset

In my opinion, there will be considerable disorder and disarray in the near future concerning the emerging fields of data and analytics. The proliferation of platforms such as ChatGPT or Bard has generated a lot of buzz. While some users are enthusiastic about the potential benefits of generative AI and its extensive use in business and daily life, others have raised concerns regarding the accuracy, ethics, and related issues.