Predictive Intelligence - RE•WORK Blog

The Public Service Algorithm: Personalization at the CBC

We're building something different at the CBC: A recommendation system, not powered by the bottom line, that uniquely presents relevant and valuable content to our audience. Our goal: a better personalized experience and...

FinTech

AI in Finance Summit, New York - Day 1 Highlights

Leaders in Artificial Intelligence from industry and academia gathered in New York today to attend the first day of RE•WORK’s AI in Finance Summit. Over 250 attendees participated in a plethora...

Deep Learning in Finance Summit

Stock Predictions Based On AI: Is the Market Truly Predictable?

I Know First is an AI fintech company that provides state of the art self-learning AI based algorithmic forecasting solutions for the capital markets to uncover the best investment opportunities....

Machine Learning

The A.I. Gold-Mine: Predicting Stock Market Success

The ability to successfully and consistently predict the stock market is, obviously, a gold mine which technologists have been working towards for many years. Thanks to recent rapid developments in deep learning algorithms,...

Customer Service

3 Lessons Learned From Automating Customer Service With AI

Customer service chat automation is one of those areas where already today AI is used to benefit companies. Among large enterprises it is one of the prime targets for automation this year. Virtual...

Machine Learning

Understanding Content in News Feed at Facebook

One of Facebook's primary goals is to provide a personalised experience to every user. They do this by looking at your profile, interaction with adverts, and people to people interaction, however they haven't...

Machine Learning

How do ASOS use deep learning to optimise performance?

Artificial intelligence is being applied in retail across the whole product service cycle from targeted marketing, product recommendation, customer service interactions, and customer lifetime value.With the Deep Learning in Retail & Advertising...

Deep Learning

Deep Learning in Finance: Learning to Trade with Q-RL and DQNs

Price changes in financial products are largely random but can often be supplemented by features, providing additional structure that can be exploited for trading profits. Experienced traders are skilled at identifying these features...

Deep Learning

Applying Autoencoding in the Financial Sector

Like most industries, artificial intelligence is expected to impact the financial sector in numerous areas, including blockchain technologies, robo-advisors and virtual banking assistants, financial forecasting, stock market prediction, and fraud detection among others....

Big Data

The Future of Emotionally Intelligent AI

“Society will get the AI it deserves.” - Joscha Bach, What to Think About Machines That Think Today, AI-powered machines can defeat the most skilled players in chess, game of Go, Jeopardy and...

Machine Learning

11th Global Deep Learning Summit to Be Held Singapore This April

Following the success of the Deep Learning Summit series in San Francisco, London, and Boston, RE•WORK is pleased to announce its 11th global Deep Learning Summit in Singapore. It is taking place...

Deep Learning

Video Interview With SwiftKey Founder & CTO Ben Medlock

As co-founder and CTO of SwiftKey, Ben Medlock invented the intelligent keyboard for smartphones and tablets that has transformed typing on touchscreens. SwiftKey's smart typing technology learns from each user to more accurately...

Neural Networks

Predicting Future Human Behavior With Deep Learning

Carl Vondrick is a doctoral candidate and researcher at MIT, where he studies computer vision and machine learning. His research focuses include leveraging large-scale data with minimal annotation and its applications to predictive...

Big Data

How Will Deep Learning Impact the Finance Industry?

Artificial intelligence (AI) is not a new concept, but thanks to breakthroughs in deep learning, recent years have seen a rapid resurgence leading to an increasing impact across many industries. Finance in particular...

Deep Learning

Deep Learning with Tony Jebara, Director of ML Research at Netflix

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Deep Learning

Recap: Videos From RE•WORK Virtual Assistant Summit, San Francisco 2016

In San Francisco on 28-29 January 2016, the Virtual Assistant Summit brought together business leaders, influential technologists, data scientists and entrepreneurs creating next-generation virtual assistants. The summit showcased the opportunities of advancing trends...

Deep Learning

Here's What We Can Expect from Deep Learning in 2016 and Beyond

As 2015 draws to a close, all eyes are on the year's accomplishments, as well as forecasting technology trends of 2016 and beyond. One particular field that has frequently been in the spotlight...

Anticipatory Computing

Humanizing Artificially Intelligent Agents - and Why it Matters

A company is applying artificial intelligence to solve a problem that every office struggles with - scheduling and organisation. How will they accomplish this for 400 million users? With a little help from...

Machine Learning

Creating a More Humane Artificial Intelligence

Virtual assistants have received a lot of attention as helpful tech that will make our lives easier, whether it's finding the quickest route to our destination; controlling smart home products; suggesting restaurants or...

Machine Learning

From Virtual Assistants to Virtual Specialists

From the same company that brought us Siri, SRI International launched Kasisto in 2014 with the aim of taking mobile conversation to the next level. Founded with the vision of helping consumers in...

Big Data

Using Artificial Intelligence to Decode IoT Big Data

As sensors spread across almost every industry, the Internet of Things (IoT) is causing a massive influx of big data. But how do we make use of all this data of this on...

Big Data

Making Sense of IoT Data with Machine Learning

A big promise of the Internet of Things (IoT) is that by analyzing millions of new sources of data from embedded, networked devices our experience of the world becomes better and more efficient....

Recommended Reads - Intelligent Machines Week

Big Data

Predictive Analytics in IoT: Lessons Learnt from Aerospace

The rapid spread of Internet of Things (IoT) technologies is producing a massive volume of sensor data, and growing exponentially each year. As the value for this kind of data is impacting multiple...