Microsoft AI
Artificial intelligence is no longer a speculative bet for global professional services firms—it’s a structural shift in how expertise is created, decisions are made, and value is delivered to clients. As the pace of innovation accelerates, organizations face growing pressure to move faster, operate with greater consistency, and deliver insight at scale, all without eroding
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.
Recently at Adobe Summit Valerie Beaulieu gave a breakout session highlighting Microsoft’s journey to become a marketing leader in the digital landscape we all live in today. Below are 5 key learnings Valerie uses to frame the Microsoft story.
Current events and related government mandates have created sudden and transformative changes for insurance carriers, their agents, and their customers. The resulting transition to remote work environments has disrupted traditional agent-customer interactions. How can customers and their agents continue to interact effectively, despite these challenges? As we know, many agents have long been conducting remote customer meetings over the phone and by email.
It would be an understatement to say that the COVID-19 pandemic has changed our lives, both personally and professionally. All of us are having to adjust to working remotely, while deploying new technologies to address COVID-19, as we collectively work to protect the health of all Americans.
Customer experience is a big focus for businesses today. Customers have more choices than ever, and they are looking at value beyond the features of the product itself to the entire experience, including the evaluation, purchase, and post-purchase steps.
Today, more than ever, we recognize the need for secure technology that can support our government leaders in responding quickly, and with agility, to rapid changes in the global landscape.
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.
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.
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.
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.
The Microsoft team is excited to be part of the Project Convergence public-private partnership that’s establishing the nation’s first 5G-enabled hospital at the VA Palo Alto Health Care System. Collaborating with the U.S.
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.