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 on-premise? What’s your... 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 Intelligence, and alleviate some... Read more
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 the year. More businesses, organizations, and startups are talking about deep learning and what it means... 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 power of deep... 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 if your boardroom... 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 2018, Dr. Jennifer... 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 case.  AI hasn’t... Read more
Using Mobile Devices for Deep Learning
A key avenue for deploying deep learning models is a mobile device. The advantage of running models in mobile apps instead of sending them to the cloud is the reduction in latency and the ability to ensure data privacy for users. Despite the variety of deep learning libraries and... Read more
OS for AI: How Serverless Computing Enables the Next Gen of ML
Jon Peck is a Full Spectrum Developer & Advocate for Algorithmia, an open marketplace for algorithms. At ODSC West 2018, he delivered a talk “OS for AI” which discussed how serverless computing enables the next generation of machine learning. The slides for Peck’s presentation can be found HERE.  The... Read more
Watch: State of the Art Natural Language Understanding at Scale
Natural language understanding is a key component in many data science systems that must understand or reason about text. Common use cases include question answering, paraphrasing or summarization, sentiment analysis, natural language BI, language modeling, and disambiguation. Building such systems usually requires combining three types of software libraries: NLP... Read more