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Introduction to Process Mining: Understanding the Basics and Benefits

CSM Magazine

By visualizing the end-to-end flow, teams can identify inefficiencies and make informed decisions. Performance Analysis : Metrics such as throughput, cycle time, and resource utilization are essential for process optimization. How can we improve resource allocation? logs from ERP systems, applications, or databases).

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Accelerate machine learning time to value with Amazon SageMaker JumpStart and PwC’s MLOps accelerator

AWS Machine Learning

Thinking of ML in terms of pipelines that generate and maintain models rather than models by themselves helps build versatile and resilient prediction systems that are better able to withstand meaningful changes in relevant data over time. Many organizations start their journey into the world of ML with a model-centric viewpoint.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

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Exploring summarization options for Healthcare with Amazon SageMaker

AWS Machine Learning

This wealth of information, while essential for patient care, can also be overwhelming and time-consuming for medical professionals to sift through and analyze. Models can be trained to analyze and interpret large volumes of text data, effectively condensing information into concise summaries.

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Converse 2022

Uniphore

Case Studies. Join us as we explore the technology and strategies needed to accelerate key initiatives, improve customer retention and drive revenue growth in today’s enterprise. Umesh is an alumnus of Jaypee Institute of Information Technology, and also a renowned ‘TED Talk’ speaker. Conversational AI Platform.

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B2B Customer Experience Governance

ClearAction

Your CRM (customer relationship management) system is typically used by all of these parties. Reference, loyalty and experiential marketing managers have programs underway to collect case studies and references, drive repeat purchases, and engage customers in advocating your brand.

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Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

AWS Machine Learning

Building a production-ready solution in the cloud involves a series of trade-offs between resources, time, customer expectation, and business outcome. It involves organizing teams effectively, designing IDP systems to handle workloads efficiently, operating these systems at scale, and continuously evolving them to meet customer needs.