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Digital Transformation: What Product Managers Need To Know

The Product Coalition

"Digital transformation" is the process of using technology to redefine processes, products, and services to create more value for customers and organizations. Digital transformation touches every corner of an organization—from the way they interact with customers to the way they design products and services.

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What is the Average Scrum Manager Salary?

The Product HQ

This article provides an overview of how much a Scrum master earns according to well-researched reports, the factors mentioned above that affect it, and what the future holds for the earning potential of a Scrum master. Comparably , on the other hand, reports a Scrum master’s salary ranges from $75,000 to $105,000 per year.

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Two Development Team Configurations I Lobby Against

Mironov Consulting

And at least in public, Engineering and Product leadership need to be shoulder-to-shoulder , actively supporting each other at every turn.   Not everything that’s reported as a bug is a bug – or should be fixed.  Customers become a professional services/custom consulting company. Bug or feature?  

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2022 in review: Highlights from this year’s best conversations

Intercom, Inc.

Throughout the year, we’ve talked with and learned from industry leaders, experts, and innovators about a multitude of topics: from facing the tech slowdown to the dawn of machine learning, from the trends transforming customer support to using human insight to create memorable experiences. We learned a lot. Paul Adams: Yeah.

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Transformational Leadership – 4 Real-World Examples

Modus Create

There are two ways to talk about transformational leadership. . We can dive deep into the academic theory created by Bruce Avolio and Bernard Bass in 1991 and understand how it fits into the broader Full Range Leadership Model. . But first, let’s define transformational leadership. . What is Transformational Leadership?

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Product Management Tips for Data Science Projects

Mironov Consulting

Data science has traditionally been an analysis-only endeavor: using historical statistics, user interaction trends, or AI machine learning to predict the impact of deterministically coded software changes. This is data science (DS) as an offline toolkit to make smarter decisions. And creates a storehouse of resonant insights.

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5 Machine Learning Lessons for Product Managers

Mind the Product

According to Crunchbase, in 2018 there were 5,000 startups relying on machine learning for their main and ancillary applications, products, and services. trillion to global GDP, “making it the biggest commercial opportunity in today’s fast changing economy”, according to a recent report by PwC. If so, ranking could help.