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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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Enable Amazon Bedrock cross-Region inference in multi-account environments

AWS Machine Learning

The customers AWS accounts that are allowed to use Amazon Bedrock are under an Organizational Unit (OU) called Sandbox. We want to enable the accounts under the Sandbox OU to use Anthropics Claude 3.5 Use case For our sample use case, we use Regions us-east-1 and us-west-2. Sonnet v2 model using cross-Region inference.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning

AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses. In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences.

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Guest Post: The Power of Visualizing and Sharing Customer Service Feedback Data

ShepHyken

You don’t want to inundate team members with survey data. Data visualization isn’t a new concept, but it very well could be a new way for you to share customer feedback with your internal teams. Visualizing data makes it more comprehensible and accessible — while accurately representing all of it. Then share it with your team.

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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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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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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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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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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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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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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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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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Foundational ABM Building Blocks

Account-based marketing (ABM) is a key strategy for driving sustainable growth. Watch this webinar with Rachael Foster, Director of Account-Based Experience at ZoomInfo, and Dan Dolph, Manager of Account-Based Experience at ZoomInfo. Today, many B2B companies use ABM teams or technologies to make sales.

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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.