AI & U

8: Best Practices for Adopting AI and Machine Learning

April 25th, 2022  |  46 mins 5 secs

ai, ai & u, ai&u, computer vision, data science, machine learning, ml, natural language processing, nlp, onica, rackspace technology, transfer learning, transformer architectures

AI and machine learning aren’t just for large companies anymore. Here’s how any company of any size can get started using the leading-edge technologies.

7: Giving Children the Gift of Lighter, Faster Bionic Arms

March 24th, 2022  |  49 mins 41 secs

ai, ai & u, ai&u, bionics, computer vision, data science, machine learning, ml, natural language processing, nlp, onica, rackspace technology, transfer learning, transformer architectures

Fewer than one-third of the children who need a prosthetic arm get one. Nonprofit Limbitless Solutions is working to change that with leading-edge bionics.

6: AI and Machine Learning Are Here to Empower People — Not Replace Them

August 24th, 2021  |  46 mins 47 secs

ai, ai & u, ai&u, computer vision, data science, machine learning, ml, natural language processing, nlp, onica, rackspace technology, transfer learning, transformer architectures

AWS experts explain how success in AI and machine learning permeates everything from tech efficiency to bettering humanity as a whole.

5: The AI Aesthetic: Building Beautiful Data Apps

June 21st, 2021  |  32 mins 38 secs

ai, ai & u, ai&u, computer vision, data science, machine learning, ml, natural language processing, nlp, onica, rackspace technology, transfer learning, transformer architectures

The frontend often takes a backseat in the machine learning lifecycle. That’s why you need help to bring apps to life.

4: Enabling the Computer Vision Revolution

May 26th, 2021  |  45 mins 6 secs

ai, ai & u, ai&u, data science, machine learning, ml, natural language processing, nlp, onica, rackspace technology, transfer learning, transformer architectures

Startups are popping up to help innovators apply computer vision simply and without in-depth machine learning or deep learning expertise.

3: The Chief Data Officer’s Perspective on AI

April 29th, 2021  |  35 mins 53 secs

ai, ai & u, ai&u, data science, machine learning, ml, natural language processing, nlp, onica, rackspace technology, transfer learning, transformer architectures

The Chief Data Officer is responsible for making sense of data within an organization. What is their perspective on AI?

2: Utilizing ML libraries in deep learning

March 30th, 2021  |  43 mins 40 secs

ai, ai & u, ai&u, data science, machine learning, ml, natural language processing, nlp, onica, rackspace technology, transfer learning, transformer architectures