The State of NLP: The Latest Breakthroughs And Their Implications For The Enterprise
AI Ops; Consolidated date pipelines; Intelligently labeled long-tail data; Generalization distillation models; Robust testing
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How do you enable Enterprise AI transformation? Enable computation on arbitrary objects first. The complexity of possible embeddings of that computations have grown exponentially with the expansion of compute.
But the practical realities of applied enterprise AI remain elusive without:
- AI Ops
- Consolidated date pipelines
- Intelligently labeled long-tail data
- Generalization distillation models
- Robust testing
This session discusses what you can do now to enable enterprise AI transformation at your organization through NLP.
Watch the session on demand now.
Session Overview
The State of NLP: The Latest Breakthroughs And Their Implications For The Enterprise
Richard Biggs - Market Development Lead - APAC, Element AI
Hardeep Arora - Industry Principal - Banking, Element AI
With all of the hype around GPT-3 we break down some of the latest advancements in the field of NLP. We identify the potential opportunities and pit-falls for companies pursuing NLP solutions. And we showcase examples of how Element AI is addressing common business problems with state of the art NLP powered deployments. Walk away with:
- A digestible understanding of the latest trends in the NLP field
- Insights into how to approach AI deployments in the enterprise
- Key use-cases & case studies of how NLP has been used by Element AI to solve business challenges
Watch the session on demand now.
