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Conversational AI use cases for enterprises

IBM Big Data Hub

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges.

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AI in Supply Chain — A Trillion Dollar Opportunity

DataRobot Blog

AI in Supply Chain Management. According to McKinsey & Company, organizations that implement AI improve logistics costs by 15%, inventory levels by 35%, and service levels by 65% 2. AI can reduce costs and minimize supply chain challenges by driving more informed choices across all aspects of supply chain management.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

In a mere five years from now, the number of smart connected devices on the planet will be more than 50 billion – all of which will generate data that can be shared, collected, and analyzed. The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics.

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Operationalizing responsible AI principles for defense

IBM Big Data Hub

Artificial intelligence (AI) is transforming society, including the very character of national security. However, the roadblocks to scaling, adopting, and realizing the full potential of AI in the DoD are similar to those in the private sector. These are table stakes for the DoD or any government agency.

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How Volkswagen Autoeuropa built a data solution with a robust governance framework, simplifying access to quality data using Amazon DataZone

AWS Big Data

The key tenet of this approach is to start by defining the customer experience, then iteratively work backward from that point until the team achieves clarity of thought around what to build. The team defined more than five data domains, such as production, quality, logistics, planning, and finance.

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Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success

Ontotext

There is a confluence of activity—including generative AI models, digital twins, and shared ledger capabilities—that are having a profound impact on helping enterprises meet their goal of becoming data driven. However, there’s one component to the Graph maturation process that may trump all others: a Graph Center of Excellence (CoE).