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Introducing the technology behind watsonx.ai, IBM’s AI and data platform for enterprise

IBM Journey to AI blog

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. But we’ve faced a paradoxical challenge: automation is labor intensive. ” These large models have lowered the cost and labor involved in automation.

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IBM watsonx AI and data platform, security solutions and consulting services for generative AI to be showcased at AWS re:Invent

IBM Journey to AI blog

That’s why we continue expanding the IBM and AWS collaboration, providing clients flexibility to build and govern their AI projects using the watsonx AI and data platform with AI assistants on AWS. .”* However, to be successful they need the flexibility to run it on their existing cloud environments. All rights reserved.

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How IBM is helping accelerate AI adoption and application centric connectivity

IBM Journey to AI blog

Accelerating AI adoption and skills for the telecoms sector The AI skills gap is very real: executives estimate that 40% of their workforce will need to reskill as a result of implementing AI and automation over the next three years. The telecom industry is no exception. We hope you’ll join us at booth #2H20.

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Re-evaluating data management in the generative AI age

IBM Journey to AI blog

A good place to start is refreshing the way organizations govern data, particularly as it pertains to its usage in generative AI solutions. For example: Validating and creating data protection capabilities : Data platforms must be prepped for higher levels of protection and monitoring.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Automate tedious, repetitive tasks. Generative AI is being used to automatically update and maintain code across different platforms. In addition, Well-developed prompts and inputs direct generative models to output creative content for emails, blogs, social media posts and websites. Best practices are evolving rapidly.

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Unlocking financial benefits through data monetization

IBM Journey to AI blog

Figure 1: Data driven business transformation Critical aspects of data-driven business transformation are the overall data monetization strategy and how data products are used. Data insight and AI automation drive cost optimization with predictive maintenance, process automation and workforce optimization.

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Reducing administrative burden in the healthcare industry with AI and interoperability

IBM Journey to AI blog

When combined with artificial intelligence (AI), an interoperable healthcare data platform has the potential to bring about one of the most transformational changes in history to US healthcare, moving from a system in which events are currently understood and measured in days, weeks, or months into a real-time inter-connected ecosystem.

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