About Anthill Inside:
In 2016, we saw a growing interest in NLP, Computer Vision and Deep Learning in The Fifth Elephant community. Consequently, we launched Deep Learning conference in 2016 and learned that the most pressing need in 2016 was understanding what products to build using AI. For once, technology was ahead of its time. The challenge we faced was which business and domain problems to solve with AI.
Between 2016 and 2018, participants and speakers shared work from medicine, e-commerce and advertising domains to navigate this challenge, and to explain:
- How NLP and Computer Vision techniques were utilized for different cases.
- Research concepts applied in practice: knowledge graphs, uncertainty, explainability (among others).
Watch videos from the previous editions on: hasgeek.tv/anthillinside to learn more about Anthill Inside.
About the 2019 edition of Anthill Inside:
At the 2018 edition of Anthill Inside, a conversation that got most traction and interest was about the hubs and spokes of AI. At a Birds of Feather (BOF) session on the hubs and spokes of AI, we discussed:
- Data acquisition and health of data; incorporating label uncertainty while training models.
- Retraining models; detecting and handling concept drifts in the data.
- DevOps and best practices for model change management; monitoring model health
- Human intervention factors, including incorporating learnings from the feedback loop; pointers for moving in the direction of auto-pilot mode.
Anthill Inside 2019 is a single track conference. Birds of Feather (BOF) sessions, round table discussions and office hours with speakers will be held in parallel with talks in the main auditorium.
Tutorials and workshops:
We will host a variety of workshops and tutorials, before and after the conference, as well as in other cities (Delhi and Hyderabad, besides Bangalore) between June and December 2019. If you want to teach a tutorial or a hands-on workshop on the following topics, submit a proposal here.
- Knowledge graphs
- Bayesian network
- Statistical techniques for ML modelling
- Computer Vision
- Natural Language Processing
You can suggest topics for someone to teach tutorials and workshops, or instructors from who you’d like to learn more. Suggestions and submissions have to be made here.