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The Strategy Stack: Connecting Business, Product, and Technology Strategy

Roman Pichler

To ensure that the right technologies are applied, you’ll benefit from using a technology strategy. The company took the strategic decision to heavily invest in artificial intelligence and now uses AI to help Office users be more productive. [1] Similarly, the technology strategy is directed by the business strategy.

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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. At Intercom, we have taken advantage of these technologies relatively early. A complex system that works is invariably found to have evolved from a simple system that worked”.

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The new dawn of Machine Learning

Intercom, Inc.

In the past five years, we’ve seen neural network technology really take off into its own. We wanted to know what’s up with this surge, so we’ve asked our Director of Machine Learning, Fergal Reid , if we can pick his brain for today’s episode. ML teams tend to invest a fair share of resources in research that never ships.

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Machine Learning for Product Managers – A Quick Primer

Mind the Product

Currently, there are thousands of products, apps, and services driven by machine learning (ML) that we use every day. As was reported by Crunchbase, in 2019 there were 8,705 companies and startups that rely on this technology. trillion to global GDP by 2030. trillion to global GDP by 2030. It’s obvious [.].

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Leveraging New Technologies: 3 Tips for Product People

Roman Pichler

Listen to the audio version of this article: [link] Make Time to Keep up with Technology Trends As new technologies come and go, it’s important for you—the person in charge of the product—to stay on top of the developments. The following four measures will help you with this.

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The ultimate marketing technology stack for 2019

Intercom, Inc.

Known as the Martech 5000 — nicknamed after the 5,000 companies that were competing in the global marketing technology space in 2017, it’s said to be the most frequently shared slide of all time. The reasons for this growth – high-velocity economics of software innovation, the migration of money from old media to new media, etc.

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5 Machine Learning Lessons for Product Managers

Mind the Product

Artificial intelligence (AI) is probably the biggest commercial opportunity in today’s economy. We all use AI or machine learning (ML)-driven products almost every day, and the number of these products will be growing exponentially over the next couple of years. What does it mean for us as product managers?