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Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q

AWS Machine Learning

In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket.

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Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

AWS Machine Learning

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. Compliance tags – These may be needed to adhere to regulatory requirements, such as tagging with classification levels or whether data is encrypted or not.

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It’s all about context stupid! Why most businesses fail to take this into account

Beyond Philosophy

They were asking for the account number right off the bat. The senior managers thought customers would be ready to present their account numbers upon getting through the call center queue. The quicker the call center employee had the account number, the faster they could resolve the issue and have their employee process another call.

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Shocking! Yahoo’s data breach

Beyond Philosophy

If you aren’t sure this is true, then ask yourself: would I open a Yahoo email account today? It’s because 500 million of Yahoo’s account users’ names, email addresses, telephone numbers, birth dates, scrambled passwords, and security questions are in the wind. Yahoo’s new email account set up is also quiet today.

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Why B2B Contact and Account Data Management Is Critical to Your ROI

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. The digital age has brought about increased investment in data quality solutions. However, investing in new technology isn’t always easy, and commonly, it’s difficult to show the ROI of data quality efforts.

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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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Migrate Amazon SageMaker Data Wrangler flows to Amazon SageMaker Canvas for faster data preparation

AWS Machine Learning

Amazon SageMaker Data Wrangler provides a visual interface to streamline and accelerate data preparation for machine learning (ML), which is often the most time-consuming and tedious task in ML projects. After you create the folder, take care to move and consolidate relevant SageMaker Data Wrangler flow files together.

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The 5 Stages of Account-Based Marketing — and How to Win Them All

The benefits of account-based marketing are clear: internal alignment, shorter sales cycles, higher conversion rates. But none of this is possible without the most important element of a successful ABM program: good data. Data is the fuel that powers your ABM engine. Without it, you can’t find and reach your target accounts.

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Buyer’s Checklist: How to Evaluate a B2B Contact Data Provider

Leveraging a data provider to help identify and connect with qualified prospects supports company revenue goals by alleviating common headaches associated with prospecting research and empowers sales productivity. Download ZoomInfo’s data-driven eBook for guidance on effectively assessing the vendor marketplace. So what’s the problem?

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The Data Intelligence Glossary for Recruiting and HR Professionals

As a recruiter, your goal is to place the right candidates at the right jobs or into ideal accounts. To build a candidate pipeline and keep the talent flowing into your agencies and organizations, it’s important to understand data-driven recruiting concepts to stay ahead of competitors.

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Digitizing Logistics: Harness the Power of Data in 4 Steps

That’s where your data comes in. In demand generation, data is essential for knowing who you should target and how. In this eBook, you’ll learn how to identify and target your ideal prospects — when they’re most receptive to hearing your message — using different types of data. Leveraging intent data.

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What We Learned From Our Own Data-Driven ABM Strategy

Analysts and professionals alike tend to argue that account based marketing (ABM) is not new. ZoomInfo has created the following eBook to help other B2B organizations gain insights on how to launch their own data-driven ABM strategy. On the surface, this is an accurate statement. So, what does ABM look like in 2022?

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4 AI Hacks to Make Sales Teams More Efficient

For sales teams, AI opens up a world of new possibilities, including automating outreach, identifying best-fit buyers, and keeping CRMs flush with fresh data. In this eBook, discover four AI assisted sales hacks and get your reps hitting their number: Clone ideal accounts. Simplify account-health management.

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How ZoomInfo Enhances Your ABM Strategy

For marketing teams to develop a successful account-based marketing strategy, they need to ensure good data is housed within its Customer Relationship Management (CRM) software. More specifically, updated data can help organizations outline key accounts for their campaigns. Not so fast, though.

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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.