NLP tagged posts:

Using NLP to Streamline Failure Mode and Effects Analysis (FMEA)

Using NLP to Streamline Failure Mode and Effects Analysis (FMEA)

Learn how Intel’s manufacturing engineers are using natural language processing (NLP) to streamline failure mode and effects analysis (FMEA). Intel Manufacturing Automation has developed an innovative methodology for performing FMEA in manufacturing by using artificial intelligence (AI) techniques to analyze [See the full post…]

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Computer Vision and NLP in Practice with ExamRoom.AI – Conversations in the Cloud – Episode 292

January 16th, 2023 |
Computer Vision and NLP in Practice with ExamRoom.AI – Conversations in the Cloud – Episode 292

Deepak MK, Vice President of Data Science at ExamRoom.AI sits in with Jake to discuss the company’s primary mission: to provide a highly secure, unified assessment system and fair environment to the candidates who take online remote proctored exams. ExamRoom.AI’s [See the full post…]

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AI Customer Conversation Analysis – Conversations in the Cloud – Episode 273

AI Customer Conversation Analysis – Conversations in the Cloud – Episode 273

In this Intel Conversations in the Cloud audio podcast: Mauro Bennici, Co-Founder and CTO of You Are My Guide joins host Jake Smith to discuss Ghostwriter AI customer analysis and forecasting. Mauro talks about the journey of You Are My [See the full post…]

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Leveraging Conversational AI to improve Customer Experience – Conversations in the Cloud – Episode 263

November 18th, 2021 |
Leveraging Conversational AI to improve Customer Experience – Conversations in the Cloud – Episode 263

In this Intel Conversations in the Cloud audio podcast: Nitin Somalaraju from Tech Mahindra joins host Jake Smith to talk about the company’s Speech Analytics platform named Sayint, which uses cutting-edge artificial intelligence (AI), machine learning (ML), and natural language [See the full post…]

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How Open Source Transformers Are Accelerating AI – Conversations in the Cloud – Episode 261

November 4th, 2021 |
How Open Source Transformers Are Accelerating AI – Conversations in the Cloud – Episode 261

In this Intel Conversations in the Cloud audio podcast: Jeff Boudier from Hugging Face joins host Jake Smith to talk about the company’s open source machine learning transformers (also known as “pytorch-pretrained-bert”) library. Jeff talks about how transformers have accelerated [See the full post…]

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AI-Assisted Annotation – Conversations in the Cloud – Episode 260

October 28th, 2021 |
AI-Assisted Annotation – Conversations in the Cloud – Episode 260

Helen Wang from Magic Data joins host Jake Smith to talk about the company’s work in automatic speech recognition (ASR), text-to-speech (TTS), and natural language processing (NLP). Helen discusses the scalable capabilities Magic Data offers customers worldwide and goes into [See the full post…]

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How Natural Language Processing is Used in Health Care – Conversations in the Cloud – Episode 249

How Natural Language Processing is Used in Health Care – Conversations in the Cloud – Episode 249

David Talby, CTO of John Snow Labs, joins host Jake Smith to talk about how natural language processing (NLP) is used in health care. David discusses how NLP is used for clinical decision support and trial acceleration. David goes into [See the full post…]

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Advancing Natural Language Processing – Intel Chip Chat Episode 674

October 20th, 2019 |
Advancing Natural Language Processing – Intel Chip Chat Episode 674

In this Intel Chip Chat audio podcast with Allyson Klein: Natural Language Processing is a complex and important field of AI. It’s what allows AI assistants to understand human voices, chatbots to understand typed text, and AI to read scanned [See the full post…]

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John Snow Labs Spark NLP Driving AI Applications in – Intel on AI – Episode 34

October 17th, 2019 |
John Snow Labs Spark NLP Driving AI Applications in – Intel on AI – Episode 34

In this Intel on AI podcast episode: Accurately answering clinical and billing questions by reading patient records, which can be hundreds of pages long, is a challenge even for human experts. While traditional rule-based or expression-matching techniques work for simple [See the full post…]

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