Remove AI Remove Engineering Remove Machine Learning Remove ML
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The new dawn of Machine Learning

Intercom, Inc.

GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” AI has been quite overhyped in the past. Paul, how are you?

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Ask the Expert: Your Topic Modeling and Machine Learning Questions Answered

Callminer

Our ongoing AI webinar series has been full of great audience questions on artificial intelligence, machine learning, and natural language processing. If you missed any of the webinars, we are replaying them all during our Webinarstock virtual conference AI day, Wednesday, July 24th. What’s an “engineered category”?

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To AI or not to AI? The support leader’s dilemma

Intercom

How big is the AI revolution in the customer service space, really? “My advice to other leaders in the space is that if you are not thinking about how to apply AI in your business, it’s a huge missed opportunity” That is a difficult transition for customer service leaders to make, but AI is suddenly making it a reality.

AI 90
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Machine Learning Development: A Comprehensive Review of Booktest and Testing Tools

Lumoa

We’re tackling a complex yet crucial topic in machine learning and AI development. Think of this as a casual chat where we unravel the complexities of ML testing, making it digestible for everyone, regardless of their technical background. Because ML systems aren’t just coded; they’re trained.

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AI-Enabled WFM Promotes Efficiency and Flexibility

DMG Consulting

AI-Enabled WFM Promotes Efficiency and Flexibility View this article on the publisher’s website. Artificial intelligence (AI), automation, and the need for new capabilities to address asynchronous and digital interactions are driving a welcome transformation of these solutions. Like what you’re reading?

AI 48
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How much historical data is needed for AI to improve forecast accuracy in workforce management?

DMG Consulting

Question: I have heard about artificial intelligence (AI) being used in workforce management (WFM) solutions. How much historical data is needed for AI to improve forecast accuracy? AI-enabled WFM solutions leverage machine learning (ML), an AI technology that is effective at finding patterns.

ML 77
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Bringing creativity to self-service: A CX Moment with Kajabi

Zendesk

Kajabi’s story began when its founder and CEO engineered a complex sprinkler out of PVC pipe. The company has now started to caption those videos to ingest for artificial intelligence (AI) and machine learning (ML). Integrate AI and machine learning—it’s simpler than you think. Jared Loman.

CX 98