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Is Machine Learning Overhyped?

Tom Tunguz

2016 was the year of machine learning. During last quarter of 2016, machine learning research has made huge strides. While some may groan that every pitch deck is littered with the words machine learning or artificial intelligence, I think each deck ought to be. Mobile-first.

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Managing a User's Trust with Machine Learning SaaS Software

Tom Tunguz

Machine learning SaaS startups face another trust risk – one introduced by probability. In both the 2008 and 2016 analyses, the math may have been correct and the theory consistent. But in 2008, the results built trust in data and in 2016, the outcome eroded it. Many machine learning systems also rely on probability.

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Digital Biology

Andreessen Horowitz

Daphne Koller is the founder and CEO of insitro, a company using AI and machine learning to engineer drug discovery. 03:23] AI in the life sciences [07:02] LLM for cells [11:37] Engineering disease and drug discovery [13:33] Bits vs. atoms [17:36] The opportunity ahead Why life sciences? 00:32] Why life sciences? [03:23]

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Trends in Early Stage SaaS Fundraising Market of 2016

Tom Tunguz

Artificial intelligence is to be a big trend in the SaaS world, a theme that matured in 2016 but will very much continue through 2017. 17% of SaaS companies who have raised so far in 2016 employ machine learning. And investors are excited to support them.

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The Software Startup Sectors Raising the Most Capital in 2017

Tom Tunguz

In other words, if machine learning startups raised the same amount of money in 2016 is 2010, the chart would show a value of 1. Advertising technology has seen a resurgence in 2016, reversing a three year trend of declines. Machine learning startups continue to raise ever more capital, as do big data companies.

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The top marketing statistics for 2018 and why they matter

Intercom, Inc.

You could say we’re biased, but the evidence became clearer than ever when messaging apps surpassed social networks in popularity in 2016: Reach. from 8 minutes in 2016 ( eMarketer, 2017 ). 53%: Consumers are 53% more likely to shop with a business they can message ( Facebook Nielsen report, 2016 ). Engagement. Engagement.

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Kinzen’s CEO Mark Little on the fight against disinformation

Intercom, Inc.

. “To tackle the challenge, they’re using a combination of machine learning and human analysis that can scale the response to a global level” Ever since, they’ve been working to get ahead of this threat and protect online communities from dangerous misinformation and hate speech that creates real-world harm. Mark: Exactly.