Getting Buy-in for your AI product

Getting Buy-in for Your AI Product

July’s installment of the Scaletech AI Product Series featured Mike Olson, founder and former CEO of Cloudera and Nahla Salem, Senior Product Manager at Loopio alongside co-hosts Alistair Croll, founder of Fwd50, Startupfest and Scaletech,…

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Episode 124: Scaling with AI

As an early or growth stage company, scaling is always top of mind. Skills are scarce and expensive, so machine learning and AI have to be the foundation you build on. And balancing this opportunity…

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Six Key Insights On Product Management From Virtual Scaletech 1.0

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San Francisco-based Beckie Wood joined us for our first Virtual Scaletech AI Product event on May 20. Beckie spent 12 years at music streaming pioneer…

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Four Machine Learning Techniques in Simple Terms

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Often when you hear experts talk about machine learning and artificial intelligence, it’s easy to feel alienated. A common sentiment we hear from entrepreneurs is…

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Episode 120: AI for Accident and Disaster Recovery Has Arrived

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Recovery from an accident or a disaster is slow and cumbersome. It can take weeks for the claims process to run its course. That painstaking…

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Episode 116: Level Up with Machine Learning

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Machine learning isn’t just for the Googles and Facebooks of the world. But how can startups (or even, growth equity investment firms 😃🤓) do data…

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Building Effective Machine Learning Teams

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The war for talent is intense, and startups find it hard to attract and retain talent. We wrote this guide to help startups build high-performing…

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A Practical Guide to Improving User Retention

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| Product, Trust, Ethics, and Privacy, Applied Artificial Intelligence A Practical Guide to Improving Product Retention In both of the startups I have been involved…

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Episode 115: Ghost Work: the Hidden Workers of AI

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The Gig economy. We know what that means. Outsourcing jobs. We know what that means. Working remotely. We know what that means. But what happens…

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Writing a Top Job Description

Acquiring Top ML Talent

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Acquiring TopML Talent | Applied Artificial Intelligence Describing the battle for talent in the ML space as competitive doesn’t do it justice. Impossible might come…

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ML Teams Resources

Building ML Teams Resources

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Resources to Build an ML Strategy and Team | Applied Artificial Intelligence We’ve pulled together twelve top resources to help you set the vision, prioritize…

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SaaS Metrics That Matter

The Metrics that Matter for Growth Stage Startups in 2020

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Early lessons on SaaS metrics Early in my career in growth equity, I was (willingly) pulled into the rabbit hole of SaaS metrics. As strange…

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Constrained optimization - how to do more with less

Constrained Optimization: How to Do More with Less

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What is Constrained Optimization? Constrained optimization is a field of study in applied mathematics. You can use the tools it provides wherever you need to…

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Episode 114: What Makes a Successful AI Project?

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In this week’s podcast Jon Prial is joined by Tara Khazaei, Chief Data Scientist, National AI Team, Customer Success Unit at Microsoft. Jon and Tara…

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Episode 112: Designing for Humans and Machines

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Human-centered design has helped to make truly great products, by designing the product so that the user has a great experience and perceives value. Now,…

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What IoT Means for the Future of Technology Businesses

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What IoT Means for the Future of Technology Businesses | Trust, Ethics, and Privacy, Applied Artificial Intelligence What is IoT? IoT (Internet of Things) refers…

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Operationalizing Responsible AI

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I recently spoke on a panel at the TWIML AI Platforms Conference discussing how to operationalize responsible AI with Rachel Thomas (Center for Applied Data…

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