Microsoft’s security toolkits provided a ready-made solution that allowed an Ontario-based health network to create a stable environment that maintains continuity of care even in the face of disruptions. A cyberattack has the potential to be catastrophic in any industry. But in healthcare, the impacts are on the level of life and death, compromising access to
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.
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.
The turbines of the business machine are moving faster than ever in this new decade. There’s no denying that we live in a quick-turn, instant results, increasingly automated and personalized world.
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.
Very often marketing teams are struggling to adjust to modern marketing. The Chief Marketing Officer (CMO) role is changing at the same rate as our customer expectations are changing. The expectation is on the CMO to not only drive the current lifetime value but also to identify the signals for future growth.
Every day, a typical connected customer interacts with hundreds of touchpoints across brands and industries, each activity or click flowing into an ever-expanding mountain of data. Some of these brands are learning to use that data to understand their customers.
From smart homes to robust intelligent edge ecosystems, AI is one of the hottest topics in tech and society as we embrace the new decade.
When you watched the Super Bowl on Sunday, there was something happening on the sidelines and in the coaches’ booths that you may not have known about. NFL coaches and players had a (not so) secret weapon helping them execute the plays that went down in sports history.
Microsoft’s Focus on Insurance on Full Display at InsureTech Connect By providing the essential technologies that enable insurers to deliver higher levels of customer service and achieve more, Microsoft continues to establish itself as a major player in the insurance industry.
Follow Pascal Belaud on LinkedIn Right now, banking, capital markets, and insurance businesses are finding new uses for artificial intelligence. AI is helping to transform and keep ahead of a number of critical vectors, including customer experience, regulatory compliance, new markets and business models, and security. It’s no longer a “nice to have” innovation technology, it’s becoming a CX-level imperative.
