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Be Honest: Are You Communicating Effectively?

Beyond Philosophy

Effective communication is the lifeblood of any relationship, whether it’s between individuals, informal groups, within companies, between leaders and the people they govern, and, of course, between companies and their customers. Leverage Big Data for all it’s worth. 1 – Understand your customer.

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Insights in implementing production-ready solutions with generative AI

AWS Machine Learning

Achieving scale, reliability, and compliance Factors to consider in transitioning to full-scale production include scalability, data governance, privacy, consistent and responsible AI behaviors, security, integration with existing systems, monitoring, end-user feedback collection, and business impact measurement.

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Improve governance of your machine learning models with Amazon SageMaker

AWS Machine Learning

Overview of model governance. Model governance is a framework that gives systematic visibility into model development, validation, and usage. Model governance is applicable across the end-to-end ML workflow, starting from identifying the ML use case to ongoing monitoring of a deployed model through alerts, reports, and dashboards.

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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Without # being able to consult the Knowledge Base, I cannot provide details on any # particular new Bedrock Agent features at this time. Karam Muppidi is a Senior Engineering Manager at Amazon Retail, where he leads data engineering, infrastructure and analytics for the Worldwide Returns and ReCommerce organization.

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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

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15 CX Experts Talk about the Future and Challenges of Customer Experience in 2018 [part 1] 

Lumoa

Some hints: big data, omnichannel, personalisation, AI and organizational culture. Read the full answers: Ian Golding, CCXP, CX Consultant and Trainer @ijgolding | blog “CX is at a very interesting point in its evolution. Many organizations are currently enamoured with the promise of technology and big data.

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Teradata Influencer Summit Highlights

Natalie Petouhof

Key Principle #2: Big Data Technologies: Aster, Hadoop, Big Data Apps, Apps Center, Open Source Contribution and leverage. Key Principle #5: Consulting, Big Data Consulting, Analytics Consulting, Managed Services. Key Principle#3: Cloud for Analytics. Who should lead this?