Unite.AI

MARCH 18, 2024

With many years of executive management experience, Scott has held a track record for driving the success and growth of a number of start-up companies and large organizations prior to his current role. It can be hard to know where to start leveraging AI in your own organization. How does Acquire.AI How does Acquire.AI

Automation 306

Automation AI Strategy Algorithm Robotics 306

AI Weekly

SEPTEMBER 14, 2023

Powered by attention.tech In the News TIME100 AI list : 100 most influential people in AI This group of 100 individuals is in many ways a map of the relationships and power centers driving the development of AI. Plus, they feed insights that have pulled in an extra $250k in ARR per rep. Start automating your sales today!]

Robotics 218

Robotics Artificial Intelligence Artificial Intelligence Machine Learning 218

Snorkel AI

JUNE 15, 2023

As more consumers get interested in that, eventually others pick up on that product. All the techniques we use are common across these different categories. I want to talk about this hard area in the middle (Filter). I have a brief analogy that I shared with my team to drive this home.

Data Scientist 52

Data Scientist Machine Learning Data Science Large Language Models 52

Snorkel AI

JUNE 15, 2023

As more consumers get interested in that, eventually others pick up on that product. All the techniques we use are common across these different categories. I want to talk about this hard area in the middle (Filter). I have a brief analogy that I shared with my team to drive this home.

Data Scientist 52

Data Scientist Machine Learning Data Science Large Language Models 52

AWS Machine Learning Blog

AUGUST 3, 2023

Use cases range from self-driving cars, content moderation on social media platforms, cancer detection, and automated defect detection. Both requirements are hard and costly to obtain. If you have a team of data scientists, they might also want to enhance the models further and pick a more custom and flexible option.

Computer Vision 63

Computer Vision Data Scientist ML Deep Learning 63

Explosion

AUGUST 3, 2017

It’s easy to reuse the code but hard to reuse the data, so building AI mostly means doing annotation. During that time, spaCy has grown into the most popular library of its type, giving us a lot of insight into what’s driving success and failure for language understanding technologies.

Convolutional Neural Networks 52

Convolutional Neural Networks Python Machine Learning Algorithm 52

Cold Takes

JUNE 23, 2022

OK, so what's driving the weirdness? If a nonprofit is a year old and has 3 employees, it probably shouldn't be investing a ton of its energy in having a great board (especially since this is hard). Not a big enough deal: most other stuff in this category. Keeping it simple for low-stakes organizations.

Explainability 59

Explainability 59