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How EdgeTier Unlocked New Markets and Accelerated Growth with AssemblyAI's Speech-to-Text

AssemblyAI

By combining AI, workflow automation, and human expertise, EdgeTier surfaces valuable insights that would be impossible to discover through human analysis alone. This flexibility made it particularly appealing to existing customers, who could easily add voice capabilities to their existing text analytics.

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Using AI-Mechanized Hyperautomation for Organizational Decision Making

Unite.AI

Contemporary businesses must transform decision dynamics by adopting automation-enabled workflows and prioritizing AI-mechanized hyperautomation at the top of digital transformation. Simply put, it is a superior iteration of intelligent automation. So why is this recently expounded phenomenon surprising industries? trillion by 2026.

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Automate call center quality assurance the right way

LevelAI

Automating the QA process is a solution that can address these shortcomings, but there are many pitfalls to avoid when automation contact center QA. Not all QA automation tools are made equal and vary wildly in scope and quality. Let’s delve into the potential pitfalls to avoid when automating call center QA.

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI.

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How to Use Speech AI for Healthcare Market Research

AssemblyAI

Once converted into text, researchers can perform text analytics to identify common themes, the frequency of specific terms, and sentiment—important factors for understanding patient experiences and opinions. Try it for yourself in the AssemblyAI API Playground.

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Expanding Creativity with Generative AI, Automated Prompt Engineering, OpenAI’s o1-Preview, and 50%…

ODSC - Open Data Science

The Rise of Deepfakes and Automated Prompt Engineering: Navigating the Future of AI In this podcast recap with Dr. Julie Wall of the University of West London, we discuss two big topics in generative AI: deepfakes and automated prompted engineering. Apply now for a chance to participate, and we’ll be in touch if space is available.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

Named entity recognition (NER): NER extracts relevant information from unstructured data by identifying and classifying named entities (like person names, organizations, locations and dates) within the text. It also automates tasks like information extraction and content categorization.