2020 Marketing Predictions – Part 1

What’s next for Marketing is something we talk about A LOT at 6sense. The industry moves at the speed of light (at least, it feels that way) and marketers are expected to stay one step ahead — even when it seems like we’re struggling just to keep up.
As a CMO planning for a new year, here are the top five Marketing trends I’m looking at in 2020:
1.

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Interview with Kirti Singh, Chief Analytics & Insights Officer of P&G

As a follow-up to his keynote talk at TMRE 2019, I was able to sit down with Kirti Singh, Chief Analytics & Insights Officer of Procter & Gamble to discuss the evolution of the insights function at P&G, his view on the future of the role and the research industry, and the implications for insights & analytics suppliers.

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Battling Fraud Through Innovation: Your Data Quality Depends on it

We talk a lot in the market research industry about what needs to change and the challenges we face, but there are some notable innovations happening as well. In fact, we’re seeing positives like rising respondent engagement with suppliers focusing on experiences and using technology like automation to even turn down “bad” studies that are long and complicated.

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Social Media Impressions vs. Reach: What’s More Important?

Let’s talk about social media metrics.
When counting engagement, there are two terms you should know: reach and impressions.
Reach is used to define who sees content. It’s the total number of people who see a tweet you make, an Instagram story you post, or a Facebook event page.
Let’s say you have an ad that was displayed 500 times on social media pages.

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Benefit People: Thinking Through Culture and Values

After watching Michael Skok’s excellent talk on Culture, Vision and
Mission, I was tempted
to have a bash at defining the values that I care about. Here’s my
attempt.
Benefit People
Benefit as many people as much as possible. The best kind of benefit
is that which helps people benefit people.
Make it Easy
Make everything easy. Everything is a conversation. Make conversations
easy.

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Video of my talk: Rise of the Research Software Engineer

Audiences can be brutal
I still have nightmares about the first talk I ever gave as a PhD student. I was not a strong presenter, my grasp of the subject matter was still very tenuous and I was as nervous as hell. Six months or so into my studentship, I was to give a survey of the field I was studying to a bunch of very experienced researchers.

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The Two Tribes of Language Researchers

TL;DR not-a-rant rant
When I talk to friends who work on human language (#nlproc), I notice two tribes of people. These are folks who do Natural Language Processing and folks who do Computational Linguistics. This distinction is not mine and is blurry, but I think it explains some of the differences in values different researchers place when they see new work.

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For Predictive Modeling, Big Data Is No Big Deal

That is what I will be speaking about when I give a keynote talk a the Predictive Analytics World conference on Monday, September 30th in Boston.For one thing, data has always been big. Big is a relative concept and data has always been big relative to the computational power, storage capacity, and I/O bandwidth available to process it.

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A Real World Reinforcement Learning Research Program

We are hiring for reinforcement learning related research at all levels and all MSR labs. If you are interested, apply, talk to me at COLT or ICML, or email me.
More generally though, I wanted to lay out a philosophy of research which differs from (and plausibly improves on) the current prevailing mode.

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Hyper Networks | 大トロ

In this post, I will talk about our recent paper called [1609.09106] HyperNetworks. I worked on this paper as a Google Brain Resident – a great research program where we can work on machine learning research for a whole year, with a salary and benefits! The Brain team is now accepting applications for the 2017 program: see g.co/brainresidency.

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