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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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How AI and Omnichannel Support Elevate Customer Service in Call Center

Hodusoft

How AI and Omnichannel Support Elevate Customer Service in Call Center “Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think Al (Artificial Intelligence) will transform in the next several years.”

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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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How Agentic AI in Auto Finance Will Shake Up the Industry

Lightico

If you are following auto finance news you’ve probably seen that artificial intelligence (AI) continues to evolve, and we are witnessing the emergence of Agentic AI in Auto Finance a powerful iteration of AI that transcends mere content generation or structured workflows.

Finance 52
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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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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.

ML 77