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Conversational AI use cases for enterprises

IBM Big Data Hub

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. DL models can improve over time through further training and exposure to more data. billion by 2030.

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Aiding Architecture & Engineering Firms with Data-Driven Learning

Smart Data Collective

Data analytics is incredibly valuable for helping people. More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. They can use data analytics and predictive analytics tools to anticipate these trends more easily.

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Data and AI as the Key to Unlocking Financial Inclusion

Cloudera

For instance, the UN’s 2030 Agenda for Sustainable Development has identified 17 goals for sustainability — and this can’t be highlighted enough — of which financial inclusion is “positioned prominently as an enabler in eight of the 17.” Here are some real-world ways data and AI can serve the underserved.

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The benefits of AI in healthcare

IBM Big Data Hub

According to Statista , the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion in 2030. In some instances, such as identifying cardiomegaly in chest X-rays, they found that a hybrid human-AI model produced the best results.

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Five machine learning types to know

IBM Big Data Hub

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.