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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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History of Marketing Technology and What's Special about Journey Orchestration

Customer Experience Matrix

The timeline* traces three categories: marketing channels; tools used by marketers to manage those channels; and data available to marketers. Pontis also promised their February release would use machine learning to pick optimal messages and channels during each treatment.

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How AI and Omnichannel Support Elevate Customer Service in Call Center

Hodusoft

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. This leads to frustration, dissatisfaction, and potential loss of customers.

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Informatica Buys AllSight and What It Means for the CDP Industry

Customer Experience Matrix

Informatica lays out the contrast quite nicely: they characterize MDM as limited to highly governed, structured data that delivers the “best version of the truth” about master objects (customers, products, supplier, etc.), These are not found in all CDPs, which is probably one reason Informatica selected AllSight in particular.

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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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B2B: When & Where AI for Customer Experience Fits

InteractionMetrics

“…for most [machine learning] projects, the buzzword “AI” goes too far. Unstructured data is invaluable for understanding customers’ feelings and thoughts, but only if your analysis respects the nuances. But for many companies, adding AI to analyzing unstructured data is not always required.

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The Dark Data Goldmine and How Can AI Help Companies Unlock It

SugarCRM

For most companies using mediocre software, dark data can pose more risk than opportunity. But there’s light at the end of this data black hole: Artificial intelligence (AI) developers learned how to leverage unstructured data to generate predictive capabilities, helping companies utilize the unused data.