Automatically summarize audio and video files at scale with AI
Learn how AI summarization helps developers and product teams build exciting features that automatically summarize audio and video data.
Industry-related news and insights for enterprises building features and products with state-of-the-art AI models.
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Learn how AI summarization helps developers and product teams build exciting features that automatically summarize audio and video data.
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Learn how you can leverage Speech-to-Text AI technology and a broader Speech AI system to improve ad targeting and boost brand safety.
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Speaker Diarization, or speaker labels, models automatically assign speakers to words spoken in an audio/video transcription. In this article, we look at the benefits, challenges, and use cases for Speaker Diarization.
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Why does accuracy matter when building with Automatic Speech Recognition (ASR) models? In this article, we explore this question and examine several industry use cases for building with ASR.
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Learn how a Speech AI system can improve your sales intelligence platform.
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Learn how to leverage speech AI to complete previously manual tasks in a fraction of the time.
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Learn how Speech AI systems can optimize podcast hosting, editing, and monetization platforms.
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With more Speech-to-Text APIs on the market than ever before, how do you choose the best one for your product or use case? Answering these six questions is a great starting point.
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Explore everything you need to know about media monitoring, including what it is, how it works, why you need it, and how AI can supercharge your efforts.
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This article aims to answer the question: What is ASR?, and provide a comprehensive overview of Automatic Speech Recognition technology.
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This article examines what Conversation AI is, how it works, and some of its top use cases.
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This blog post examines some of the top blockers facing companies looking to build with AI, as well as explores solutions to building and deploying successful AI tools and features faster.
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This article explores the basics of Conversation Intelligence and AI summarization before drilling into the mechanics behind incorporating AI summarization into a Conversation Intelligence tool, feature, or product.
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If you’re looking for ways to play around with AI in 2023, these are the six best AI playgrounds to try.
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Hiring a team of great machine learning scientists and data analysts simply isn’t enough (as first seen in Fast Company).
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Revenue intelligence platforms are adopting an AI-first approach to build competitive call coaching features. This includes embedding AI Summarization models that are purpose-built for understanding conversations.
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Gaining a basic understanding of newer AI terminology is critical for any field, including product management. This guide will serve as an entry point into the current key AI terminology to know now.
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This article will explore what Personally Identifiable Information (PII) Redaction APIs are, how they work, and the top use cases.
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This article looks at how AI models can be used to build robust AI hiring tools for Hiring Intelligence Platforms.
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This article examines how ASR, NLP, and NLU tools help hybrid event solutions build standout platforms.
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This article will explore how AI Models can build foundational and exemplary tools for CCaaS companies.
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In this article, we’ll look at what exactly Named Entity Recognition is, how it works, the best APIs for performing Entity Detection, and some of its top use cases.
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Learn how AI Models help facilitate smarter media monitoring.
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Built using the latest Deep Learning and Machine Learning research, Audio Intelligence enables customers to quickly build high ROI features and applications on top of their audio data.
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In this post, we’ll look more closely at how Sentiment Analysis works, current models, use cases, the best APIs to use when performing Sentiment Analysis, and current limitations.