RE•WORK | Blog

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

Could the AI Revolution Bring a Four Day Work Week? By Joni Lindes on May 18, 2018

Technology has a profound impact on work. Advanced smartphones have made us unable to ignore work emails when we leave the office, but a new technology is set to bring about a greater work-life balance. AI is set to be the key to mankind’s fourth industrial revolution at 300 times the scale and, roughly, 2000 times the impact achieved by electricity. The nature of how we live and work will be transformed.

Topics: Business Applications

Making Deep Learning More Accessible With Indico By Pip Curtis on Mar 28, 2018

We’re always hearing that applying machine learning in the real world is what businesses need to be doing to ensure they don’t get left behind. This however, can be challenging for companies when they’re initially looking to adopt these technologies. How much will it cost? How time consuming will it be? How do I train my staff? This is where Indico comes in - the start-up focused on making deep learning practical in the enterprise by helping to automate tedious back-office tasks, improving the efficiency of labor-intensive document-based workflows, and extracting valuable insights from your unstructured content, including text and images.

Topics: Business Applications

Interview: Shekhar Yadav, Founder of Objects.AI By Yazmin How on Jan 22, 2018

Businesses of all shapes and sizes are recognising the power of AI. Small businesses and enterprises can leverage these technologies to help improve efficiency, and large companies are automating whole departments of their business. Some companies however do not have the resources to employ whole data science teams to implement and manage AI systems. With only one week to go until the AI Assistant Summit in San Francisco, we caught up with Shekhar Yadav, Founder of Objects.AI.

Topics: Business Applications

Where is Deep Learning Heading? By Pip Curtis on Jan 01, 2018

Deep learning is the fastest growing field in machine learning and is used to solve many big data problems such as computer vision, speech recognition, and natural language processing. It’s used across multiple industries and as a method of overcoming real world problems like preventing disease, building smart cities, revolutionising analytics and so much more. Whilst deep learning is being adopted by businesses of all shapes and sizes, it can be overwhelming. Until very recently, its implementation has only been realistic for large companies with access to huge amounts of data such as images, signals and text to provide to the machine in order for it to learn. Smaller businesses or researchers who have limited historical data have previously been missing out; however there are ways of overcoming this barrier to implement deep learning methods.

Topics: Business Applications