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Microsoft in Business Blogs: Business transformation

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3 min read

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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3 min read

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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3 min read

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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3 min read

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

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3 min read

Remaining Relevant: Integrating Non-traditional Data into Insurance Insights 

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. And, they’re doing such a good job of delivering custom–tailored experiences, that customers have come to expect that level of service and are turned off by those that don’t

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4 min read

The most critical decision in building out enterprise AI: Build in-house or bring in a vendor 

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. While consumers are debating the benefits of one smart light bulb versus another, financial service companies are planning, adapting, and debating just how they can use artificial intelligence to empower

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3 min read

5 Insurance Takeaways from Microsoft’s Fall Events 

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. This fall, Microsoft was a proud gold-level sponsor at InsureTech Connect, one of the

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5 min read

What’s Next for AI in Financial Services in 2020? The 5 Top Trends 

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. In