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The new dawn of Machine Learning

Intercom, Inc.

Building ML products requires balance – it’s pointless to start with the problem if the solution is unattainable, but you shouldn’t start with the tech if it can’t meet real customer needs. AI has been quite overhyped in the past. ML teams tend to invest a fair share of resources in research that never ships. What’s up?

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10 technical strategies to avoid when scaling your startup (and 5 to embrace)

Intercom, Inc.

From premature optimization to over-engineering solutions for your product, it’s easy to get caught up in making technology decisions that slow you down instead of speeding you up. These things are usually artifacts of some engineer’s Objectives and Key Results (OKRs). The top ten technical strategies to avoid.

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Intercom on Product: How ChatGPT changed everything

Intercom, Inc.

We chatted about DALL-E, GPT-3, and if the hype surrounding AI is just that or if there was something to it. a text-generating AI, and according to OpenAI , it can generate text in a dialog format, which “makes it possible to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.”.

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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. Is topic modeling supervised machine learning (ML)?

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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.

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The Fourth Industrial Revolution: How automation and AI will impact manufacturing

Zendesk

But now that we’re in what’s being described as the Fourth Industrial Revolution, that visual is as outdated as the steam engine. More manufacturers are using AI, machine learning (ML), and blockchain to automate workflows and increase efficiencies. Advantages of AI. trillion in value by 2025. Intelligent technology.

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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.

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