Artificial Inteligence Development Team Review Software Review Systems Review 
Bain Public
APRIL 25, 2022
We had some insightful discussions and they confided in me the challenges the local startups and ecosystem were experiencing regarding their roadmap development. "I Claude, Daniel and I began to ideate on ways that we could collaborate by leveraging Daniel’s software. We got lucky; they saw our potential and did our diligence.
Iteratively Blog
MARCH 15, 2020
Apache Kafka), distributed systems, and much more. ? Data Elixir is one of the top newsletters in the market sharing the best articles on machine learning, data visualization, analytics, and strategy. Development. A large part of the reason is due to the fact that not everything is measurable. 4 Data Elixir.
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Intercom, Inc.
DECEMBER 9, 2022
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?
Mironov Consulting
FEBRUARY 9, 2023
But if this is a nearly-universal problem – systemic across companies and industries – there must be something more fundamental happening. It 2] software product companies should almost never make changes for a single customer , no matter how big the deal. But
The Product Coalition
JUNE 26, 2023
The AI Journey So Far The encouraging news is that most enterprises have already embarked on their artificial intelligence journey over the past decade years. For enterprises that view artificial intelligence as a cornerstone of their business strategy, the time to double down on generative AI adoption is now.
Mironov Consulting
DECEMBER 29, 2022
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
PMLesson's Ace the PM Interview
JUNE 10, 2020
Machine Learning & Statistical Modeling Wikimedia Commons A big part of being a data scientist is building and using machine learning models to better understand complex or multidimensional data sets. The skills necessary would primarily fall under high-level statistics and mathematics.
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