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How a solid generative AI strategy can improve telecom network operations

IBM Journey to AI blog

Human error : Manual data consolidation leads to misdiagnoses due to data fragmentation challenges. AI-driven data analysis reduces errors, helping ensure accurate diagnosis and resolution. Inconsistent data formats : Varying data formats make analysis difficult.

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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

With Snorkel Flow, we’ve transformed labeling training sets from an ad hoc manual process into a programmatic one, accelerating time to value by 10-100x+ and leading to better model accuracies for our enterprise customers, including five of the top 10 US banks, government agencies, and more.

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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

With Snorkel Flow, we’ve transformed labeling training sets from an ad hoc manual process into a programmatic one, accelerating time to value by 10-100x+ and leading to better model accuracies for our enterprise customers, including five of the top 10 US banks, government agencies, and more.

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Data is essential: Building an effective generative AI marketing strategy

IBM Journey to AI blog

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. The journey starts with sound data.

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Twilio Segment: Transforming customer experiences with AI

AI News

Tools like Predictions put marketers at the centre of this new era of AI which is transforming how companies engage and retain their customers.” – Chris Koehler, CMO at Box. AN: What other emerging AI trends should people be keeping an eye on? Here are four trends in AI personalisation.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Most experts categorize it as a powerful, but narrow AI model. Current AI advancements demonstrate impressive capabilities in specific areas. Self-driving cars excel at navigating roads and supercomputers like IBM Watson ® can analyze vast amounts of data. A key trend is the adoption of multiple models in production.

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.