FEBRUARY 28, 2023
These problems are why, despite the early promise and floods of investment, technologies like self-driving cars have been just one year away since 2014. As a result, the AI production gap, the gap between “that’s neat” and “that’s useful,” has been much larger and more formidable than ML engineers first anticipated.
Towards AI
AUGUST 25, 2023
Any competent software engineer can implement any algorithm. Even if you are an experienced AI/ML engineer, you should know the performance of simpler models on your dataset/problem. References [1] Artificial Intelligence Engineering [2] J. 12, 2014. [3] MIT Press, ISBN: 978–0262028189, 2014. [7] 16, 2020.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Chatbots Life
MAY 16, 2023
Deeper Insights Year Founded : 2014 HQ : London, UK Team Size : 11–50 employees Clients : Smith and Nephew, Deloitte, Breast Cancer Now, IAC, Jones Lang-Lasalle, Revival Health. Services : AI Solution Development, ML Engineering, Data Science Consulting, NLP, AI Model Development, AI Strategic Consulting, Computer Vision.
TheSequence
JULY 12, 2023
After my post-doc I went to work for a string of small European startups before moving to the US in 2014 and joining Instacart where I led engineering teams dealing with payments and orders, and dabbled in MLOps. In 2018, I joined Cruise and cofounded the ML Infrastructure team there.
AWS Machine Learning Blog
NOVEMBER 16, 2023
Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. In this post, we describe how Philips partnered with AWS to develop AI ToolSuite—a scalable, secure, and compliant ML platform on SageMaker.
AWS Machine Learning Blog
APRIL 5, 2024
SageMaker geospatial capabilities make it straightforward for data scientists and machine learning (ML) engineers to build, train, and deploy models using geospatial data. Among these models, the spatial fixed effect model yielded the highest mean R-squared value, particularly for the timeframe spanning 2014 to 2020.
Snorkel AI
MARCH 9, 2023
The project itself debuted in 2014, and has become the infrastructure backbone of many modern software companies and their products. Containerizing slows iteration speed, which can be a particular challenge for data scientists and ML engineers. This introduction to Kubernetes will cover the basics of the system.
Expert insights. Personalized for you.
126 
Let's personalize your content