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Microsoft in Business Blogs: Era of AI

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July 25, 2024
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Driving global supply chain innovation and resilience 

A fast and resilient global supply chain is vital for businesses to meet customer demands and ensure operational efficiency.

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Juvare technology harnesses Azure to power emergency response around the world 

Disasters strike suddenly, and emergency management needs rapid, scalable access to data and collaborative tools that will empower their response. That’s when they turn to Juvare, one of the most experienced and established emergency response tech providers in the world. To manage the scalability and speed that emergency responders need to face the challenges of their jobs, Juvare turned to the cloud for their WebEOC and eICS platforms. With cloud infrastructure, they were able to navigate geographical data restrictions and disruptive deployment to bring comprehensive solutions to the communities they served.

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The companies leading with AI are also leading with skilling 

Companies today are focused on keeping employees safe while trying to still meet the essential needs of their customers. But we know from our conversations with our customers and partners throughout the United States that business leaders are also beginning to think about how best to adapt and drive recovery as we emerge from this crisis.    The business world is changing at an extraordinary pace. As Microsoft CEO Satya Nadella recently observed during our earnings announcement, “we’ve seen two

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What COVID-19 has taught us about the power and possibilities of AI in health 

  Tom Lawry | National Director for AI, Health and Life Sciences   Ours has been called the information age. There is probably no place where this name rings truer than healthcare. In the 1950s A newly-minted physician would go their entire career before seeing medical information and knowledge double. Those graduating today can expect

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Innovating in a period of uncertainty 

As an on-going celebration of growth, innovation, and acceleration across the finance industry, this year’s  Money Management Institute Summit focused on The Value-Add Imperative — how financial service providers can go beyond their traditional services to positively impact the lives of their customers. In this time of COVID-19 Summit’s core goal of empowering attendees with

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Measuring your way to failure: Thinking beyond your model metrics before deployment 

Companies across the Financial Sector are using AI and Machine Learning to model customer behaviors, avoid risk, and streamline critical business processes. Consequently, building and testing Machine Learning models has become an important discipline for many financial institutions. Traditionally, the success of Machine Learning models, and often AI algorithms, is measured by key metrics that

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Securing AI and ML projects: Data and cyber risk management 

As Artificial Intelligence and Machine Learning continue to cement themselves as foundational resources for growth and transformation across the financial services industry, organizations must account for the added influx of data flooding into their enterprises. Every data science achievement must also account for how we secure and protect that data, making embedded data security risk management a far more pronounced need

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Executing with AI: Reverse Stress Testing using AI Example 

Financial institutions are finding it difficult to insert AI into their financial risk products at scale. Financial institutions have been hiring data scientists, acquiring technology, doing POCs, in short, playing around with AI.  While they understand it in theory, and may even put an AI project into production, getting it to run scale is another

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From Idea to Value: A process for managing the data science lifecycle in the enterprise   

As we enter the new decade, one thing is clear: the explosive growth of data science and AI has made the effective application of them a critical differentiator for any enterprise. Despite the near-universal acknowledgement of this phenomenon and the major investments being made, many enterprises struggle to deliver sustained value on their data science

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Establishing a smarter supply chain with artificial intelligence 

For decades, manufacturing decision makers have made inventory purchases based on experience. Yet, as global trends like sustainability and digitization force markets to evolve, that ability to estimate future need based instinct and education has become less reliable.

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Simplifying Data and Machine Learning Pipeline with FHIR 

Heather Jordan Cartwright | GM, Microsoft Health Samir Manjure | Co-founder and CEO, KenSci Introducing the SMART on FHIR based Data and AI Accelerator  Today, via the Microsoft Azure Marketplace, we’re excited to introduce the SMART on FHIR Data and AI Accelerator – an exciting new managed service offering from KenSci targeted to healthcare organizations. Through collaboration with Microsoft and cutting–edge FHIR capabilities in the cloud, the KenSci AI Accelerator simplifies the

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The good and the bad of off-the-shelf AI 

AI solutions aren’t all that different from investments—there are plenty of options, discernable levels of risk, and ample room for growth in AI adoption, but every organization has a custom portfolio built for its specific needs. Building your own AI models isn’t for everyone. Every financial service copy has its own expertise, capabilities, and resources

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Build or Buy, the Value of Critical AI Partnerships 

If you’ve been keeping up with our AI Build or Buy series, you’ll notice that finding the right partnerships is at the core of each decision. The right AI partner serves an essential role of any finance technology strategy. They bring a level of expertise and dedication to the company’s data science needs that is