Open-source AI tools/solutions ARE available but they’re not easy to implement, aren’t always compatible, and each solve only a small piece of the puzzle. That’s why – despite growing adoption – AI is still difficult to deploy. That’s also why LF Artificial Intelligence Foundation (LFAI) was established – to reduce solution fragmentation, encourage project, company & developer collaboration, and drive the effective use of AI tools/solutions to increase adoption/innovation. LFAI ground-breaking projects include Acumos AI (open-source marketplace for Machine-Learning models initiated by ATT & Tech Mahindra) and Horovod, (distributed training framework for TensorFlow, Keras, & PyTorch contributed by Uber). Here Natarajan Subramanian explores LFAI projects & activities, including a new (very cool) AI open-source landscape tool. He also presents the opportunities and benefits of actively participating in the LFAI community
