Watch: The Future of Machine Learning
See the video from Accelerate AI West 2019 where keynote, Alex Holub, talks about where the biggest innovations in applied Machine Learning will occur in the next 5 years. He is discussing how some of the largest global organizations are using Machine Learning today, and the... Read more
ML Operationalization: From What and Why? to How and Who?
Operationalization may be the newest 18 letter word in AI, but there are specific steps to removing your AI initiative from the silos and putting it into production at scale. Sivan Metzger of ParallelM is here to share his experiences, mistakes and all, deploying machine learning... Read more
The Past, Present, and Future of Automated Machine Learning
As a consultant in data science and machine learning, and also a tech journalist, I’m in a position to recognize current trends in the industry. One of the latest crazes centers around “automated machine learning” or AutoML as many call it. In fact, I’ve written a... Read more
A Manager’s Guide to Starting a Computer Vision Program
So you’re thinking of starting a computer vision program, but you’ve realized now that the logistics are overwhelming. What framework do you use? What infrastructure? Do you go with an out of the box solution or take the time to build your own? Cloud GPU or... Read more
How To Democratize Artificial Intelligence in Your Business
Olivier Blais of Moov.ai  has had a lot of experience building AI initiatives for organizations. He’s been a lot of places and is well aware of the hype and hysteria surrounding AI. He’s here to help you and your company build better AI initiatives, democratize Artificial... Read more
Best Practices for Deploying Machine Learning in the Enterprise
This post discusses the best practices for deploying machine learning in the enterprise. If you’re an organization worried about being left behind with deploying machine learning, it’s not just you. According to Gartner’s Hype Cycle Chart, machine (and deep) learning are the biggest hyped trends of... Read more
Deep Learning for Speech Recognition
Deep learning is well known for its applicability in image recognition, but another key use of the technology is in speech recognition employed to say Amazon’s Alexa or texting with voice recognition. The advantage of deep learning for speech recognition stems from the flexibility and predicting... Read more
Leveraging AI For Product and Company Growth
Everyone thinks everyone else is deploying and leveraging AI, but in reality, most companies aren’t. The ones that are sometimes have AI initiatives that don’t line up with business growth. AI’s buzz may have everyone rushing to implement their own strategies to use this tech, but... Read more
An Introduction to Active Learning
The current utility and accessibility of machine learning is in part due to the exponential increase in the availability of data over time. While data is abundant, labels that are required for specific supervised machine learning tasks can be difficult to obtain. At ODSC West in... Read more
Greatest Hurdles in AI Proliferation in Education
Whenever we talk about AI’s applications, we tend to doubt the reality of AI proliferation in education. The advancements and new research don’t talk much about applications in education, and Varun Arora, founding director of Open Curriculum, has some ideas about why this might be the... Read more