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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

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Build and train ML models using a data mesh architecture on AWS: Part 1

AWS Machine Learning

For example, in the financial services industry, you can use AI and ML to solve challenges around fraud detection, credit risk prediction, direct marketing, and many others. Large enterprises sometimes set up a center of excellence (CoE) to tackle the needs of different lines of business (LoBs) with innovative analytics and ML projects.

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Building the Foundation for an AI-Ready Organization

ConvergeOne

However, the reason that so many AI projects fail is not due to the AI processes themselves, but rather the lack of strong data governance, collaboration, and problem definition. The wheels are like a data governance strategy that provides processes, security, accessibility, and accountability.

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The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

NobelBiz

Account Setup and Verification : Upon receiving a debt, the agency sets up an account for the debtor and verifies all the details. Advanced analytics and machine learning algorithms are also being integrated into call center operations to predict debtor behavior and optimize contact strategies. In the U.S.,

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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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What is Marketing Operations?

ClearAction

What is Marketing Operations? Marketing Operations is the science and art of optimizing efficiency and effectiveness of the Marketing organization. The purpose of marketing operations is to increase organizational efficiency, agility, and value. What is the future of Marketing Operations? Lynn Hunsaker. Technology.

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Facebook’s Conversion API – what marketers need to know

Infinity

Accurately tracking and improving campaign performance is at the top of every marketer’s wish list. Every ‘event’ that happens online can be gold dust for marketers. The greater the visibility you have of the data needed to track conversion events, optimise ads and re-target users, the stronger the position you are in as a marketer.

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