Tech Trends Report, 2017

Published 2016-12 · 156 predictions

partial← 2016 2019 →

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Partial: the archived transcript covers slides 1-56 of the deck: trends 1-29 with their pages (quotes), and the industry lists on slides 6-28, which give the number and title of most of the 159 trends. Trends 30-158 are titles from those lists without quotes; numbers 94, 116, 117, 159 appear in no list and are missing. The Artificial Intelligence section page (year tag and Key Insight) is an umbrella trend (D40) before trend 1. Where a list prints a number with a different title once, the majority title is kept and the variant is in the entry note. The PDF was distributed through WeTransfer and is not archived.

web.archive.org/web/20201205002207/https://www2.slideshare.n

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Artificial Intelligence
Many facets of artificial intelligence (AI) have made our list since we first started publishing this report a decade ago.
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Predictive Machine Vision

Researchers at MIT’s CSAIL have trained computers to not only recognize what’s in a video, but to predict what humans will do next.

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Zero-Knowledge Proofs

With all of the hacking scandals that have plagued us in the past few years, smart businesses and organizations are turning to zero-knowledge proofs, which allows one party to verify data without conveying any additional information (like how or why the mathematical statement is true).

rank 9ftsg-tech-trends-2017-009

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Uncovering Hidden Bias in AI

Every single day, you are creating unimaginable amounts of data, both explicitly (uploading and tagging photos on Facebook) or implicitly (searching online for cooking utensils, cars, or doctors).

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Accountability and Trust

We will soon reach a point when we will no longer be able to tell if a data set has been tampered with, either intentionally or accidentally.

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Bots

You’ve no doubt heard of a bot: a software application that’s been designed to automate certain tasks, such as scheduling or managing basic customer service requests.

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Deep Learning

Programmers use special deep learning algorithms alongside a corpus of data—typically many terabytes of text, images, videos, speech and the like.

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Smart Virtual Personal Assistants (SVPAs)

Smart Virtual Personal Assistants use semantic and natural language processing, along with our data, in order to anticipate what we want or need to do next...even before we know to ask.

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Ambient Interfaces

Ambient music pioneer and visionary Brian Eno wrote in his liner notes for Music for Airports: “Ambient music must be able to accommodate many levels of listening attention without enforcing one in particular; it must be as ignorable as it is interesting.”

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Universal Basic Income

An unconditional, guaranteed income for everyone within a country—a concept made popular in the 1960s—is being debated once again in the wake of automation, advanced robotics and artificial intelligence.

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Artificial Intelligence in Hiring

Researchers are finding that the usual data sources—test scores, GPAs and the like—aren’t reliable indicators of talent.

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