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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. Provide Much Deeper Context than Traditional Software Projects, Especially Use Cases and Business Goals.

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The SaaS Manager’s Toolkit: Top Alternatives for Google Analytics for 2024

Userpilot

Our review presents a variety of analytics platforms, from privacy-focused to feature-rich, ensuring you’ll find the right tool that respects user data, integrates easily, and scales with your SaaS business. The platform’s no-code capabilities make it accessible for teams without extensive technical expertise.

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Why I Became a Software Engineer at Modus Create

Modus Create

When I came to Georgetown, I learned what doing business meant. Georgetown is generally considered a target school for investment banking, which means that most students have an interest in working on Wall Street, and Wall Street wants them. Joining the Modus Create Team. They all saw an opportunity and seized the moment.

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Product Design: Let’s get Emotional

Mind the Product

Hardware, software and mobile technologies have become cheaper and easier to deploy, enabling small and mid-size companies to have access to similar if not better technologies than the big boys. Indeed startups are often launching with or driving the development of new technologies. But this competitive advantage is small.

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Intercom on Product: How ChatGPT changed everything

Intercom, Inc.

In a recent episode, our Director of Machine Learning, Fergal Reid , shed some light on the latest breakthroughs in neural network technology. OpenAI released their most recent machine learning system, AI system, and they released it very publicly, and it was ChatGPT. Where did it learn that?

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Product Model, Service Models, and Investor Valuations

Mironov Consulting

Almost every week, I have a conversation with executives at B2B software companies who don’t see a bright-line distinction between software license revenue and customization/implementation revenue.  Or What do I mean by software product vs software services ?  A billable).  Building

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Embedded Analytics Examples and Use Cases in 23 Different Industries

Reveal

Businesses of all industries and all sizes incorporate embedded analytics technologies and capabilities into their own software, SaaS platforms, Angular apps , or other apps because of the tremendous benefits that they get. Banking : Deliver great benefits to customers and employees alike. Reveal Embedded Analytics.