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IBM and TechD partner to securely share data and power insights with gen AI

IBM Big Data Hub

A coordinated partnership: How these tools work together By using IBM Db2, IBM watsonx Assistant and NeuralSeek, we offer a comprehensive solution that streamlines data management, enhances accessibility, and helps to ensure security and integrity across your enterprise.

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The most valuable AI use cases for business

IBM Big Data Hub

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. Generative AI can produce high-quality text, images and other content based on the data used for training.

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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

B2C 58
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Data is essential: Building an effective generative AI marketing strategy

IBM Big Data Hub

Generative AI needs the right data As with all AI implementations, generative AI requires attention to sourcing and maintaining the underlying data. The familiar IT adage, “garbage in, garbage out,” still applies; high-quality data is essential to yield a high-quality result.

Marketing 122
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Conversational AI use cases for enterprises

IBM Big Data Hub

DL models can improve over time through further training and exposure to more data. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. Clean data is fundamental for training your AI.

Analytics 105
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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. These access controls reduce the chances that the data is used for unauthorized or illegal purposes.

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How IBM is helping accelerate AI adoption and application centric connectivity

IBM Big Data Hub

That’s why, alongside the GSMA , IBM recently announced a new collaboration to support the adoption of and skills for generative artificial intelligence (AI) in the telecom industry through the launch of GSMA Advance’s AI Training program and the GSMA Foundry Generative AI program.

Cloud 102