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How to Bring Agile Innovation to Customer Success

Totango

Improved customer collaboration follows from prioritizing individuals and interactions, a result of success teams engaging closely with customers and customer data. Responsiveness to change results from allowing customer data to drive CS plan implementation. Delivering more customized, personalized CS outcomes.

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How AI can deliver a personalized and predictive customer experience

Eptica

Date: Wednesday, September 20, 2017 How AI can deliver a personalized and predictive customer experience. Author: Vincent Giraud Customers are ever-more demanding, and want fast, high quality and above all personalized service from the organizations that they deal with. Published on: September 20, 2017.

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Teradata Influencer Summit Highlights

Natalie Petouhof

Herman says that the guiding priorities of Teradata are: Key Principle #1: Analytic ecosystem: Teradata, DB, UDA, Real-time, Fabric Architecture. Key Principle #2: Big Data Technologies: Aster, Hadoop, Big Data Apps, Apps Center, Open Source Contribution and leverage. Key Principle#3: Cloud for Analytics.

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Prescriptive analytics: The way forward for Big Data

Hero Digital

This, in a nutshell, is prescriptive analytics. For a long time, the field of data and analytics was focused on describing what happened — how many customers bought the product, what they looked like, how many came back, etc. With the advent of advanced ML algorithms, analytics has now entered the prescriptive phase.

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Innovation Is What Makes Us Great

DMG Consulting

I live in a country where I can freely, without fear of persecution, disagree with my government. Innovations drive change, which often results in productivity and quality improvements and allows companies to provide better and more personalized service at costs they can afford.

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Why Customer Experience Excellence Requires HR Engagement

ClearAction

CX governance structure: what does the company need, according to the organization and customers? Ensure that the right balance of tech/ empathy/ personal interaction is kept. Keep up-to-date through the ClearAction newsletter: Originally published on IBM Big Data & Analytics Hub. —@Lynn_Teo.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

This data is information rich but can be vastly heterogenous. Proper handling of specialized terminology and concepts in different formats is essential to detect insights and ensure analytical integrity. This takes about two hours and can be done in multiple sessions, in person and by phone. How will my privacy be protected?

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