Applied AI Digest 117

2017 AI Digest Review

Every week the BootstrapLab’s team curates the most interesting and current articles on Artificial Intelligence. To inspire you in 2018, we wanted to share our 2nd Annual Applied AI Digest Review – a recap of all the major AI news and trends of 2017.

Machine Learning (Theory)

We are clearly not in a steady-state situation. Is this a bubble or a revolution? The answer surely includes a bit of revolution—the fields of vision and speech recognition have been turned over by great empirical successes created by deep neural architectures and more generally machine learning has found plentiful real-world uses. Read more.

Why Diversity in the Artificial Intelligence Sector Is Critical

Artificial intelligence offers limitless potential for the financial industry, but at Fortune‘s MPW International Summit on Tuesday Mastercard vice chairman Ann Cairns also called attention to some of its existential risks. Cairns had recently been in China, where she said it was clear to her that AI was taking off there in a big way—just as it has in Silicon Valley. Read more.

AI at Google: our principles

Machine learning is increasingly moving from hand-designed models to automatically optimized pipelines using tools such as H20, TPOT, and auto-sklearn. These libraries, along with methods such as random search, aim to simplify the model selection and tuning parts of machine learning by finding the best model for a dataset with little to no manual intervention. Read more.

Chatbots Were the Next Big Thing: What Happened?

Chatbots were The Next Big Thing. Our hopes were sky high. Bright-eyed and bushy-tailed, the industry was ripe for a new era of innovation: it was time to start socializing with machines. And why wouldn’t they be? All the road signs pointed towards insane success… Read more.

Real-world AI

Unsure where or how AI applies to your company? The McKinsey Global Institute found more than 400 real-life examples where AI can improve longstanding business challenges. Read more.

Why the Future of Machine Learning is Tiny

When Azeem asked me to give a talk at CogX, he asked me to focus on just a single point that I wanted the audience to take away. A few years ago my priority would have been convincing people that deep learning was a real revolution, not a fad, but there have been enough examples of shipping products that that question seems answered. Read more.

Job Opportunities:

CargoChief: Full-Stack Engineer

GetAccept: Digital Marketing Manager

Sibly: Head of Engineering

UnitQ: Natural Language Processing and Machine Learning Engineer

UnitQ: Software Engineer Back End Developer

Aeye: Sr. Electrical Engineer

Vidora: Senior Software Engineer – Applications

Smart Ear: Lead Engineer

Trusted Insight: Django/Python Full Stack Engineer Product Marketing Director

dataalab: Senior Data Scientist

See more job opportunities.

AAI18 Panel – Applied AI in FinTech: Faster, Cheaper, Better?

Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. During this session, the panelists discussed AI in finance technology, data privacy and security, interpretability of algorithms and the need for a strong relationship with regulators.