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Is Machine Learning Overhyped?

Tom Tunguz

Solomo (social local mobile). Mobile-first. 2016 was the year of machine learning. In this rare case, I think hype is masking quite a bit of true technical innovation. During last quarter of 2016, machine learning research has made huge strides. These innovations aren’t limited to the lab.

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Intercom’s product principles: Following design fundamentals to leave space for innovation

Intercom, Inc.

Our strength lies in knowing when we should follow standard best practices for design and when we need to innovate and create something new. “We We believe there’s no value in innovating if it doesn’t solve our customer’s problem. This is just not the right place to innovate: usability comes first.

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When AI Favors the Incumbents

Tom Tunguz

Incumbents have lept onto advances in generative machine learning more aggressively than any trend in recent technology history. Mobile, cloud, social - startups led each of those waves. Over the past decade, the most advanced machine learning systems have often been built inside the largest technology companies.

AI 169
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Which AI Model Should You Pick for Your Startup?

Tom Tunguz

The pace of innovation in the field clouds the answer. the company would prefer to rely on external experts to drive innovation within the models. the company has no plan/interest to staff a team to manage AI infrastructure or develop deep machine learning experience / expertise in-house. When to choose a small model?

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Efficient Merchandising Using Machine Learning Algorithms

Backlinkfy

Machine Learning and AI are set to assume incredibly prominent roles in the retail sector in the not so distant future. Machine Learning in Retail The retail space is undergoing a paradigm shift with innovative applications being tested out for machine learning and AI.

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FSM Software: 7 Growth Tips for Field Service Management Software Providers

Stax

TL;DR Understanding your target market is the first step to growing your FSM software business FSM software providers need to invest in product development and innovation to stay up-to-date with industry trends, forecast market needs, and respond with innovative solutions. And it doesn’t have to be all about innovating new products.

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When Will the Next Wave of UI Advances Happen?

Tom Tunguz

Technology innovations swing to a pendulum’s cadence. Sometimes innovations begin with infrastructure changes and reverberate up the stack. Other times, front-end engineers innovate at the application layer, which demand downstream changes in the infrastructure to scale. We’re in a period of punctuated equilibrium.