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Building Resolution Bot: How to apply machine learning in product development

Intercom, Inc.

We are at the start of a revolution in customer communication, powered by machine learning and artificial intelligence. So, modern machine learning opens up vast possibilities – but how do you harness this technology to make an actual customer-facing product? The cupcake approach to building bots.

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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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The $939B Question: Is AI Eating SaaS or Feeding It?

SaaStr

The Infrastructure Bypass Midmarket software companies are caught in a “pressure cooker” with fast-moving AI startups developing applications far more rapidly than traditional software companies on one side, and tech giants investing billions in proprietary AI tools on the other.

AI Search 283
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The Compound Startup Advantage: Why The CEO of Rippling Believes Focus Is Overrated

SaaStr

Companies typically manage this through disconnected systemsan HRIS here, a payroll system there, separate systems for pensions, hours tracking, annual leave, and banking. IT Cloud : Setting up employees in apps, device management, and IT systems. His rationale: Training capacity : Sales teams can only absorb so much product knowledge.

Startup 152
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How To Build A High-Performing Team And Retain Top Talent with Snowflake Global Director of Market Intelligence Guan Wang (Video)

SaaStr

How To Build A High-Performing Team And Retain Top Talent. Every leader needs to have a strategic playbook to build high-performing teams and retain top talent,” says Guan Wang, Global Director of Market Intelligence for Snowflake. . Stage 3: Employee Development. The Playbook For Building And Retaining A High-Performing Team .

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The biggest challenges facing support teams right now (and how to solve them)

Intercom, Inc.

Most support teams have seen an influx of support queries since COVID-19 hit – and those issues are more complex than ever. According to recent research, however, many teams aren’t sufficiently equipped to meet these new challenges. Challenge #1: Limited team bandwidth, resources, and budget.

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What’s New at Greenhouse: $200M ARR, AI in the Real World, Going Big with PE, and More

SaaStr

Greenhouse is combating this with a patent on a new machine learning-based resume parser to increase accuracy. If one resume says software engineer and the other says developer, AI can converge these skills so people don’t slip through the cracks because they typed a title incorrectly. Daniel’s team is an anti-gravity device.