The hype around artificial intelligence (AI) and machine learning (ML) is at all time high — so much so that it can eclipse the actual applications and outcomes organizations are driving. Grandiose promises of what the technology might be overshadow the actual, pragmatic benefits it can offer to any organization, in any industry, that is generating a lot of data. The benefits are real and it’s time to harness them.
Before you can get value from AI and ML, you must understand the role it can play at your organization, the problem it solves and how it maps to your intended outcome. This is where many AI and ML initiatives are stalled. To overcome this, you need a place to start from.
Let’s take a look at the pervasive issues plaguing organizations. Fraud is rampant, IT and equipment downtime is costly and lack of visibility into stakeholder behavior plagues organizations across industries. Applying AI and ML to these heavily data-dependent challenges presents an opportunity. Imagine smart algorithms helping to protect the organization and its stakeholders, optimize for uptime and deliver data-driven insights and results.
In this ebook, we look at the common problems that AI and ML are successfully addressing in public sector, financial services and healthcare — and how you can get started.
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