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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 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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Avoid Trapdoor Decisions: 5 Lessons Learned from Scaling Stripe (Video + Transcript)

SaaStr

Scaling the company’s employee base, sales teams, marketing, and operations—all while preserving its culture—has required a laser focus on first principles, smart processes, and effective hiring. In this talk, Claire will share these and other lessons for scaling high-growth organizations. Our team is in Room 111.

Scale 157
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How Does Scaled Data Labeling Work With Marketing?

Neil Patel

You can decrease overall costs while improving efficiency and machine learning processes with the right platform on your side. Data labeling is the process of analyzing raw data and labeling it to provide context to machine learning software, algorithms, and end-users. What Is Data Labeling?

Scale 125
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The ultimate marketing technology stack for 2019

Intercom, Inc.

Stacks can be developed at the project, team, or functional level and are regularly used to improve internal collaboration, measure the impact of marketing activities and reach customers in new ways. Without this foundation, your marketing stack can become a set of siloed tools that will bog your team down in complexity.

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Customer Support is being turned upside down. Here’s what you need to do about it.

Intercom, Inc.

Delivering those better experiences requires a fundamentally new way to do customer support, a messenger-based approach that works at internet scale. Once every decade or two, developments in technology trigger monumental changes in an industry. Internet scale and changing customer expectations are driving and accelerating the change.

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

SaaStr

The SMB markets can test out features that aren’t built to scale yet, and as they succeed, Greenhouse invests in them and rolls them out to Enterprise customers. Now, over the next decade, they need to think about other things their customers do in hiring that aren’t done well and could be scaled. They did it. He ran from the term.