Remove Engineering Remove Machine Learning Remove Unstructured Data
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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?” It’s all about artificial intelligence and machine learning.

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Glossary of AI terms: Understanding GPT, neural networks, and more

Intercom

Deep learning algorithms are highly effective at processing complex and unstructured data, such as images, audio, and text, and have enabled significant advances in a wide range of applications such as natural language processing, speech recognition, and image recognition systems that include facial recognition, self-driving cars, etc.

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The Future of Customer Experience: Embracing AI, Predictive Analytics

SurveySensum

In this modern life, an average customer is being driven by a cognitive overload and to cope with and alleviate this burden, customers are now pushing the traditional brand interaction and are turning to AI engines to make routine decisions for them.

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Building a better Social Suite: 12 features that fuel your enterprise-wide social media strategy

Sprinklr

An omni-channel social listening strategy is the fuel that makes your customer experience engine run. Monitor and analyze results with visual insights that help you aggregate millions of data points in one place. Surface actionable insights across billions of data-points by using industry-leading AI for unstructured data.

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How to Streamline Auto Loan Origination with Intelligent Document Processing (IDP)

Lightico

IDP leverages and combines AI, Large Language Models (LLM) , OCR, and natural language processing (NLP) to seamlessly extract data from a diverse array of documents, ranging from scanned forms to digital submissions. All with our pre-training.

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How AI and Omnichannel Support Elevate Customer Service in Call Center

Hodusoft

Chatbots Chatbots are AI-powered tools engineered to communicate like humans. Machine Learning (ML) In the last few years, ML is proving to be a game changer for call centers and customer-facing organizations. Natural Language Processing (NLP) NLP enables machines to understand and interpret human language in a meaningful way.

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Contact Center Technology Stack: The (Immediate) Transformation You Need?

Ameyo Callversations

But, if the marketing teams can provide real-time information about a safety hazard with the vehicle, the engineering teams can arrange for a recall before any major accident hurts the consumer and the brand’s image. The contact centers need to upgrade their tech stack to include data from the edge devices.