In today’s rapidly evolving digital world, AI is no longer a futuristic concept—it’s transforming industries right now. As industries and organizations worldwide accelerate their AI adoption, businesses are realizing productivity and efficiency gains that can fuel new growth and innovation. Securing the future of AI means acknowledging the dual nature of this technology: it brings
David Koscheski | Director of Industry, Banking Ten years ago, it would have been tough to imagine today’s banking landscape. With rapidly evolving technological innovations and changing customer expectations, competition from fintech, Big Tech, and smaller, niche institutions has turned up the heat on the industry as a whole. The future is here, but many
Many insurers are realizing a need for transitioning their call centers to operate under remote work models. The technological challenges associated with this type of undertaking are compounded by the need to drive those workloads under compressed timelines. Fortunately, this evolution can be managed quickly and with the equivalent security, agent experience, and customer experience
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
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. If you’d like to learn more download the eBook How to demystify data and extract impactful
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. However,
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. Government employees across states, cities, and counties are
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. The evolution of the customer experience means that customers expect to be able to reach your
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. At Microsoft we are committed to developing solutions that enable our government stakeholders to capitalize on opportunities at the accelerated pace required to deliver modern
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
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
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. Through collaboration with Microsoft and cutting–edge FHIR capabilities in the cloud, the KenSci AI Accelerator simplifies the
