Snorkel Flow
The platform for programmatic AI development—set a new pace for AI application development.
Labeled data is required to train highly accurate AI/ML models for specialized, domain-specific tasks. However, manual data labeling with human annotation is slow, expensive, and often blocks enterprise AI projects on day one. AI data development eliminates this bottleneck by streamlining collaboration between data scientists and SMEs via a unified platform for capturing domain knowledge and applying it to enterprise data, empowering data scientists to label entire datasets with the click of a button rather than requiring a team of SMEs to hand label each data point. Snorkel Flow provides data scientists and subject matter experts with a collaborative platform for capturing domain knowledge, using it to label entire datasets or generate synthetic ones, and to quickly iterate on training data and model development via built-in guided error analysis and model evaluation. AI/ML teams should never be blocked due to missing or low-quality training data. Nor should data scientists, ML engineers, and SMEs be required to spend valuable time on manual data labeling. Empower data scientists to curate high-quality training data in days rather than months Take advantage of SME-in-the-loop to improve quality without the need for manual data labeling Deploy AI/AML models which demonstrate higher accuracy and meet production requirements Curate training data and fine-tune embedding models and LLMs as well as extract document metadata for enhanced retrieval. Foundation models have become extremely capable, but they lack the domain knowledge needed to perform specialized tasks within the enterprise. However, specialized models can be derived from them, combining their inherent natural language and reasoning capabilities with enterprise data, corporate policies, and industry standards. Deploy models with MLflow or via AWS SageMaker, Google Vertex AI, and Databricks integration. Optimize RAG pipelines by fine-tuning embedding models and extracting document metadata to improve retrieval accuracy. Take the next step and see how you can accelerate AI development by 100x. In the new world of off-the-shelf generative AI models, you can just grab a model pre-trained by OpenAI, Google, Hugging Face, etc., and start generating predictions. And these predictions can be large chunks of generated content! This leaves many data scientists wondering, where does my data actually add value in the development of production AI healthcare applications? In this webinar, you’ll learn how your unique data is critical to developing high-quality generative AI applications and learn where your data can be used and how it should be prepared, managed, and applied to deliver real-world value for your organization. Nazanin Makkinejad is an applied machine learning engineer at Snorkel AI, where she works with enterprise data science teams to realize the benefits of data-centric AI and Snorkel Flow. Prior to her role at Snorkel AI, Nazanin was a Postdoctoral Research Fellow at Ha
Blue Prism
SS&C Blue Prism fuels the world’s top businesses with agentic automation that’s trusted, tested and ready to run. Leaders in Agentic AI, RPA &
Automation is becoming more autonomous, and the SS C | Blue Prism® WorkHQ platform brings together AI agents, digital workers, people, systems and data into one governed, unified environment, creating smarter, more efficient workflows. We’re changing the future of work; join us on the journey. SS C Blue Prism Intelligent Automation Platform SS C Blue Prism Intelligent Automation Platform We’re a leading agentic automation vendor with the expertise and enterprise-grade technology to guide your automation journey, whether you’re just starting out or you’re an expert in AI. We help you plan, build, implement, deploy and scale agentic automation into your end-to-end workflows to streamline work and increase efficiency via an agentic workforce. We want to deliver unlimited possibilities and transformational results so you can unify your workforce and realize the best value for your organization, people and customers. Our humble story starts with two people who sought to create business-led solutions by having humans train software robots, rather than gatekeeping them with complex codes and applications. But they didn’t stop at business-led solutions; they looked at the wider scope – at the governance. That’s where the first iteration of RPA came in. SS C Blue Prism coined the term robotic process automation (RPA) in 2012, and the rest… Well, it isn’t history, it’s the future! SS C Technologies combined generative AI with SS C Blue Prism AI agents to quickly process financial documentation. The AI agents help them interpret and process unstructured data, leading to better customer experiences and eliminating errors. Frende used SS C Blue Prism AI agents and generative AI to rapidly sort and summarize emails, saving 300 hours of staff time each month and speeding up vendor payments --- all while keeping their data secure. The University of Calgary sped up key finance processes with SS C Blue Prism agentic automation. They returned 125,000 hours to the university and reduced manual effort by 70%. They attribute their success to a clear vision, solid foundation and executive support. Tropex and Tara Exports implemented SS C Blue Prism agentic automation with Virtual Blue to future-proof their business and return 500+ hours to their business annually. They now have real-time visibility into digital invoices, with live updates to improve team transparency. SS C Global Investor and Distribution Solutions (GIDS) and Retirement Solutions (RS) adopted SS C Blue Prism AI agents with generative AI, computer vision, RPA and process orchestration to onboard retirement plans 8x faster. Their people and Aia gents collaborate to ensure better customer experiences. Alberta Health Services (AHS) brought in SS C Blue Prism agentic automation with generative AI to improve the patient experience by making clinical information more accessible to healthcare professionals. They’ve freed $15.8 million in effort over the program’s lifetime. At SS C Blue Prism, we
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