In this contributed article, Mohammad Musa, Founder & CEO of Deepen AI, discusses how good data labeling leads to better results, whether it’s in autonomous cars, medical imaging, or any other industry where AI thrives. Done poorly, the entire system suffers. Inefficiencies and inaccuracies become inevitable, while major safety risks caused by poor labeling can derail an entire project.
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Industry Perspectives
AI is Not a Magic Bullet for Renewables
In this special guest feature, Blair Heavey, Chief Executive Officer of WindESCo, suggests that we hear so much about how AI is the next big thing in the energy industry, but in reality, it’s really over-hyped, and is nowhere near the magic bullet that some thought it might be. Many rewewable energy companies are not meeting the expectations with AI, and there’s a lot of confusion on what it really is and what it can do.
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Why CRM and Data Warehouses Fail with Customer 360
This whitepaper from our friends over at Profisee explains why achieving a complete view of the customer is so difficult and how customer relationship management (CRM) systems and data warehouses, especially in the insurance industry, do not manage customer-related data well. The core elements of this type of data fall into a discipline called Master Data Management (MDM).
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