RE•WORK | Blog

Building Collaborative AI from the Ground Up By Dean Teffer on Nov 27, 2018

Compared to even just a few years ago, the tools available for data scientists and machine learning engineers today are of remarkable variety and ease of use. However, the availability and sophistication of such tools belies the ongoing challenges in implementing end-to-end data analytics use cases in the enterprise and in production. It is common knowledge that the biggest lift in applying machine learning in production is variously “data engineering,” “data modeling,” “building a data pipeline,” or some other logistical effort notionally divorced from the algorithms and objective functions of data science.

Topics: Business Applications

5 Reasons You Shouldn’t Miss the Applied AI Summit & Machine Learning for DevOps Summit, Houston By Hollie Jaques on Nov 21, 2018

Next week for the first time, RE•WORK is bringing its AI Summits to Houston. As the fourth most populous city in the USA, the home of NASA, and a thriving hub of technology progressions, it’s set to be an exciting week. We’re highlighting 5 key points we’re most looking forward to, and why you shouldn’t miss the summits. RE•WORK events are famous for the calibre of speakers from both industry and academia coming together to share both research progressions and real-world applications. Here are some of the presentations we’ve got our eye on:

Topics: Business Applications

Interview with Julia Badger, Project Manager for Robotics and Intelligence for Human Spacecraft at NASA By Hollie Jaques on Nov 14, 2018

Designs are underway for the next human outpost in space, a habitat in lunar orbit. This “Gateway” to deep space human presence represents a paradigm shift in human spaceflight. Unlike the continuously crewed International Space Station, the Gateway will be uncrewed and operational for 11 months of the year. The Gateway will require an unprecedented amount of autonomy and artificial intelligence for a complex, human-rated spacecraft.

Topics: Business Applications

God Doesn’t Play Dice But We Do By Karry Lu on Oct 26, 2018

Personalization is everywhere these days. From Netflix movie recommendations to optimizing call-to-action font size, never before in recorded history has so much existential grief and mental energy worthy of a Faulkner novel gone into making people click on flashing icons. Everyone’s doing A/B tests now, on everything from their e-commerce frontend or their email marketing campaigns; you (or your UX designer) are probably not an exception.

Topics: Business Applications

AI and automation: The benefits for business and industry By Scott McLay on Oct 19, 2018

On 4 August 1997, Skynet, a US military developed program, became self-aware and began to think for itself. Operators tried to deactivate the computer system but the now ‘intelligent’ system perceived this as a threat and in order to protect its mandate of ‘safeguarding the world’ Skynet launched a nuclear war against humanity. In 1984, this was the dystopian future in a post-apocalyptic world that James Cameron envisaged with his film The Terminator.

Topics: Business Applications

The Benefits of Simple AI Models: Regression For the Win By Vinod Bakthavachalam on Oct 03, 2018

Machine learning and artificial intelligence have revolutionized data science by allowing the creation of automated models that can self-learn intricate patterns from the data. Countless data products ranging from classical recommendation systems to complex facial recognition software have turned to machine learning to improve their performance. A lot of the recent buzz in this space has been around deep learning and neural networks and not without justification as a lot of the headline improvements in the products above have been powered by this class of models.

Topics: Business Applications

Why use Machine Learning in DevOps? By Hollie Jaques on Oct 01, 2018

Whilst DevOps has improved software development exponentially, from increasing both qualities to productivity, there are still limitations. The relationship between ML and DevOps evident, and it is capable of enhancing organisations’ ability to manipulate and analyse large amounts of data far more accurately and rapidly than a human engineer. ML is able to handle the volume, amount and variety of data through its agile capabilities to learn from and process data far quicker and more accurately than its human counterparts.

Topics: Business Applications

Deep Learning for Dummies: An Overview of Deep Learning and Neural Networks for Beginners By Limor Leah Wainstein on Sep 18, 2018

Deep learning and neural networks have been making a lot of headlines in the technology sphere lately, and with good reason too. The growth of deep learning is an important aspect of what some sources are calling “the A.I. revolution”. Artificial intelligence is nothing new, however, its potential is now being realized more than ever due to the availability of cheap, vast computational power and enormous stores of data.

Topics: Business Applications

Interview with Hao Yi Ong, Research Scientist at Lyft By Hollie Jaques on Sep 11, 2018

It’s hard to give an exhaustive list of how Lyft uses AI. As a teaser, consider the dispatch problem that arises whenever you request a ride. In this case, we have what we call a“bipartite matching problem” to determine what’s the best set of matches between passengers on the one hand and drivers on the other. But deciding which passenger-driver pair to prioritize depends on market efficiency and ride satisfaction considerations that are determined using statistical machine learning models and longer-term budgeting considerations.

Topics: Business Applications

Day 2 Highlights - AI in Finance Summit, New York By Hollie Jaques on Sep 07, 2018

Following an incredibly busy first day of the AI in Finance Summit which explored cutting-edge advancements in research and AI tools and techniques, we were excited to return today to shift focus to the latest applications of AI in Finance. The morning kicked off by celebrating innovative startups using AI for Finance, in which compère, Teal Willingham introduced with great enthusiasm, working with startups herself at NYC’s first tech incubator and largest community of AI startups in the city, NYU Tandon Future Labs.

Topics: Business Applications

5 Steps to Implement Deep Learning By Hollie Jaques on Aug 30, 2018

AI allows researchers to focus on the problems at hand instead of spending time creating new tools to approach new problems. (Ian Goodfellow, Google Brain) Whilst AI is now readily available for implementation cross-industry, there are still challenges in the commercial applications of deep learning. Despite the availability of multiple research oriented open-source deep learning frameworks, they are not efficient enough for application in many domains (e.g., cybersecurity); their incorporation in the final product is complicated; and even where applicable, highly skilled and scarce deep learning experts are required to employ them.

Topics: Business Applications

Beyond The Hype - Will Every Business Benefit From Applying AI? By Yazmin How on Aug 28, 2018

Artificial Intelligence is disrupting and transforming every industry it touches. From business operations and efficiency to innovative means of customer service, medical research breakthroughs, smarter transport systems and targeted advertising campaigns, it’s an inescapable reality of today’s world. Businesses unwilling to adopt AI will fall behind, and it’s predicted that the revenue generated from both the direct and indirect application of AI software will grow from $1.38 billion in 2016 to $59.75 billion by 2025.

Topics: Business Applications