At the core of our platform are domain-specific micro-language models. These models enable us to harness vast amounts of enterprise data, convert it into enterprise knowledge, and train the models. It also helps build solutions that leverage this intelligence, to optimize enterprise processes and drive operational efficiency.
Featured Products
Automated discovery of task and process data, Mining and Model Training
Read MoreCollaborative workspace to accelerate new solution development, and enhancing platform functionality
Read MoreIntegrate Al with Enterprise systems to leverage inferences, exchange data, trigger actions seamlessly within the enterprise ecosystem
Read MoreDigital Persona of Employees, providing insights for informed decisioning and real-time knowledge assistance.
Read MoreOur comprehensive portfolio encompasses niche pProducts that are powered by a range of AI technologies, including Process Intelligence, Generative AI, and Vision AI to accelerate the adoption of AI solutions in Enterprises.
Key factors contributing to the challenges to accelerate AI adoption in enterprises:
Fragmented understanding of enterprise processes
Lack of clear use cases and business value
Requires a collaborative focus and a unified AI platform approach
Trained on infinite data of the internet, lacking domain specificity
Lack of precision and consistency in LLM output; critical for enterprises
Customization and fine-tuning of LLM is effort and cost-intensive
Integrating LLM with existing apps and data can be challenging
Model monitoring, maintenance, and retraining is expertise-intensive
Optimization for speed and accuracy requires experimentation
Sensitive data cannot be shared with cloud LLMs
Compliance and regulatory objectives add complexity
Need to manage bias, transparency, and accountability in training models
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GENERATIVE AI USE CASES BY Function
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