Resources

Monitoring AWS Container Environments at Scale

Datadog

In this eBook, learn how to monitor AWS container environments at scale with Datadog and which key metrics to monitor when leveraging two container orchestration systems (ECS and EKS).

Assess and Advance Your Organization’s DevSecOps Practices

Datadog

In this white paper, a DevSecOps maturity model is laid out for technical leaders to use to enable their organizations to stay competitive in the digital economy.

Address the Challenges of Siloed Monitoring Tools

Datadog

Companies frequently experience monitoring tool sprawl. Find out why monitoring tool sprawl occurs, why it’s a problem for businesses, and the positive business impacts of monitoring tool consolidation.

Cloud-Scale Monitoring With AWS and Datadog

Datadog

In this eBook, find out the benefits and complexities of migrating workloads to AWS, and services that AWS offers for containers and serverless computing.

What E-Commerce Performance Metrics Are CTOs Monitoring?

Datadog

In this eBook, Danny Miles, CTO of Dollar Shave Club, reveals an efficient framework for thinking about and prioritizing the performance metrics that matter most to him, providing a blueprint for fellow e-commerce CTOs to follow as they evaluate their own business.

AI in Manufacturing

Data Robot

Manufacturers want to deliver the best products on the market as quickly and ethically as possible. Learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform.

Build Trustworthy AI With MLOps

Data Robot

Machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. Discover the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance.

The Business Value of MLOps

Data Robot

As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. This report highlights some of the most impactful benefits of MLOps tools.

The Hitchhiker’s Guide to Embedded Analytics – 4 Mission-Critical Steps to Take on Your Analytics Journey

The right analytics capabilities will turn data into valuable insights for your end users. This research-based guide, derived from insights of industry professionals, will allow you to create an optimal strategy for acquiring those capabilities.

TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

Enterprises poured $73 billion into data management software in 2020 – but are seeing very little return on their data investments. 22% of data leaders surveyed have fully realized ROI in the past two years, with 56% having no consistent way of measuring it.

12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

Businesses today compete on their ability to turn big data into essential business insights. Modern enterprises leverage cloud data lakes as the platform used to store data. 57% of the enterprises currently using a data lake cite improved business agility as a benefit.

2021 Dresner Advisory Services Business Intelligence Market Study

Every year Dresner reviews the state of the BI market as it stands today. This 12th annual report breaks down customer perceptions of BI and how well each vendor performs. See for yourself how all the major BI vendors stack up.

How to Use a Semantic Layer to Scale Data & Analytics Across Your Organization

Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.

Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

Data Robot

The risk of bias in artificial intelligence (AI) has been the source of concern and debate. High-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data.

Going to Market Smarter in the New Economy

ZoomInfo

In 2021, as companies continue to move more functions online, employees will take a more virtual -- and flexible -- mindset and lifestyle in parallel to the digitization of businesses. To succeed, you must change the way you conceive and build new products as a digital business. Download the report today to discover more!

The Forrester Wave™: B2B Marketing Data Providers, Q2 2021

ZoomInfo

In our 24-criterion evaluation of B2B marketing data providers, we identified the 11 most significant vendors — Data Axle, Dun & Bradstreet, Enlyft, Global Database, InsideView, Leadspace, Oracle, SMARTe, Spiceworks Ziff Davis, TechTarget, and ZoomInfo Technologies — and researched, analyzed, and scored them. This report shows how each provider measures up and helps B2B marketing professionals select the right one for their needs.

4 AI Hacks to Make Sales Teams More Efficient

ZoomInfo

Over the last two years, there’s been a 76 percent increase in AI adoption across sales organizations. 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. Read on to learn the four AI hacks sales teams need to improve their performance. Download the eBook today!

How to Overcome the Pain Points of Your CRM

ZoomInfo

CRM software is a powerful tool when used correctly, yet another obstacle to a sales team’s efficiency when it’s not. Leveraging research and commentary from industry analysts, this eBook explores how your sales team can get back valuable time by overcoming some pain points with your CRM, such as low adoption rates, integrations, and data quality.

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