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The most valuable AI use cases for business

IBM Big Data Hub

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. To help eliminate tool sprawl, an enterprise-grade AIOps platform can provide a holistic view of IT operations on a central pane of glass for monitoring and management.

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Data governance use cases – 3 ways to implement

Collibra

For example, if you don’t have an approved taxonomy of what data exists in the business, then you can’t adequately tag data as it flows into your lake. Imagine the following scenario: Your company is launching a new product and wants to create a marketing campaign tailored to consumers who are most likely to purchase this new product.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

However, if AGI development uses similar building blocks as narrow AI, some existing tools and technologies will likely be crucial for adoption. While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag.

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Asset management vs. parts inventory management: What’s the difference?

IBM Big Data Hub

By incorporating artificial intellig ence (AI) and advanced analytics into the software system, maintenance teams in the field can access critical information in seconds and make more informed decisions. In addition to an asset’s location, RFID tags can transmit the temperature and humidity of the environment where its being kept.