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3 key reasons why your organization needs Responsible AI

IBM Journey to AI blog

Adherence to responsible artificial intelligence (AI) standards follows similar tenants. Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 AI requires AI governance , not after the fact but baked into AI strategy of your organization. billion by 2025.

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Introducing watsonx: The future of AI for business

IBM Journey to AI blog

It provides self-service access to high-quality, trustworthy data, enabling users to collaborate on a single platform where they can build and refine both new, generative AI foundation models as well as traditional machine learning systems. Watsonx.governance can help build the necessary guardrails around AI tools and the uses of AI.

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What CIOs and CTOs should consider before adopting generative AI for application modernization

IBM Journey to AI blog

But simultaneously, generative AI has the power to transform the process of application modernization through code reverse engineering, code generation, code conversion from one language to another, defining modernization workflow and other automated processes. Much more can be said about IT operations as a foundation of modernization.

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How to become an AI+ enterprise

IBM Journey to AI blog

Generative AI (gen AI) introduces transformative innovation to all aspects of a business; from the front to the back office, through ongoing technology modernization, and into new product and service development. We refer to this transformation as becoming an AI+ enterprise. Operations Incidents occur, even in an AI-first world.

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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. With the right generative AI strategy, marketers can mitigate these concerns.

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Leveraging generative AI on AWS to transform life sciences

IBM Journey to AI blog

The industry is under tremendous pressure to accelerate drug development at an optimal cost, automate time- and labor-intensive tasks like document or report creation to preserve employee morale, and accelerate delivery. Why IBM Consulting for generative AI on AWS?

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Conversational AI use cases for enterprises

IBM Journey to AI blog

Natural language generation (NLG) complements this by enabling AI to generate human-like responses. NLG allows conversational AI chatbots to provide relevant, engaging and natural-sounding answers. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.