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Conversational AI use cases for enterprises

IBM Journey to AI blog

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution. billion by 2030.

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Igor Jablokov, Pryon: Building a responsible AI future

AI News

The current incarnation of Pryon has aimed to confront AI’s ethical quandaries through responsible design focused on critical infrastructure and high-stakes use cases. “[We We wanted to] create something purposely hardened for more critical infrastructure, essential workers, and more serious pursuits,” Jablokov explained.

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The risks and limitations of AI in insurance

IBM Journey to AI blog

Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage. Technological risk—transparency The black-box characteristic of AI systems, especially generative AI, renders the decision process of AI algorithms hard to understand.

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Revolutionizing AI with Apple’s ReALM: The Future of Intelligent Assistants

Unite.AI

By training LLMs to seamlessly resolve references across three key domains – conversational, on-screen, and background – ReALM aims to create a truly intelligent digital companion that feels less like a robotic voice assistant and more like an extension of your own thought processes.

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How NVIDIA Fuels the AI Revolution With Investments in Game Changers and Market Makers

NVIDIA

Databricks offers an industry-leading data platform for machine learning, while Cohere provides enterprise automation through AI. and Utilidata, each contributing unique solutions in drug discovery, conversational AI and smart electricity grids, respectively. Other notable companies are Recursion, Kore.ai

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The Age of AI Wonders: will Generative AI enhance your business?

Defined.ai blog

Incremental improvement with Exponential Tools These are all vital questions, but they’re also too big to answer without time and extensive societal discourse—never mind that if AI’s exponential progress trend continues, the AI developments of today will be completely superseded by the AI developments of literally tomorrow.

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How AI saves money and improves banking complaint handling

Snorkel AI

Build better AI-fueled complaint handling with Snorkel AI The Snorkel Flow data-centric AI platform helps businesses create and launch AI applications for their specific needs by enabling them to label data accurately and at scale. Model explainability.