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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. The data mesh is a modern approach to data management that decentralizes data ownership and treats data as a product.

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Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

AWS Machine Learning

Conventional ML development cycles take weeks to many months and requires sparse data science understanding and ML development skills. Business analysts’ ideas to use ML models often sit in prolonged backlogs because of data engineering and data science team’s bandwidth and data preparation activities.

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25 Indicators of Fraud on Inbound Calls

Callminer

Scammers are armed with advanced technology and access to private user data obtained through illicit channels. Further, malicious callers can manipulate customer service agents and automated systems to change account information, transfer money and more. Organizations need to be prepared to effectively combat call center fraud.

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How Rocket Companies modernized their data science solution on AWS

AWS Machine Learning

Thats why we use advanced technology and data analytics to streamline every step of the homeownership experience, from application to closing. Data exploration and model development were conducted using well-known machine learning (ML) tools such as Jupyter or Apache Zeppelin notebooks.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. For the multiclass classification problem to label support case data, synthetic data generation can quickly result in overfitting.

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Guest Post: How to Design a Customer Success Program That Works

ShepHyken

Account management Offer workshops on relationship-building, active listening, and consultative selling for identifying upsell or cross-sell opportunities. Encourage shadowing experienced account managers who can disseminate their best tips and tricks. Assess how they’re going to harness analytics to make the right decisions.

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