Resources

AI in Manufacturing

Data Robot

Manufacturers want to deliver the best products on the market as quickly and ethically as possible. They want to increase productivity and profits. Their problems and needs don’t change, but the technology and solutions do. In our AI in Manufacturing eBook, you can learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform.

Build Trustworthy AI With MLOps

Data Robot

Trust is an essential part of doing business. Whether it is the reliability of the supply chain, the accuracy of financial predictions, or the assurance of product availability, trust from customers, vendors, and suppliers is non-negotiable. For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions.

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. Machine learning operations (MLOps) is the technical response to that issue, helping companies to manage, monitor, deploy, and govern their models from a central hub. Our report, The Business Value of MLOps by Thomas Davenport, highlights some of the most impactful benefits of MLOps tools and processes for different types of o

The Role of Artificial Intelligence in Pandemic Response: Lessons Learned From COVID-19

Data Robot

In March 2020, the world was hit with an unprecedented crisis when the COVID-19 pandemic struck. As the disease tragically took more and more lives, policymakers were confronted with widely divergent predictions of how many more lives might be lost and the best ways to protect people. They were making huge historical decisions based on very little information.

Migrating Oracle to PostgreSQL

PostgreSQL is a powerful and versatile database management system with a host of features that make it a compelling database platform. If you’re currently on Oracle and considering making a change, find out why PostgreSQL is a worthy contender.

Monitoring AWS Container Environments at Scale

Datadog

Containers power many of the applications we use every day. Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources. Download this eBook to learn about: The changing state of containers in the cloud and explore why orchestration technologies have become an essential part of today’s container ecosystem.

Assess and Advance Your Organization’s DevSecOps Practices

Datadog

Organizations must advance their DevSecOps practices to deliver high quality, secure digital services to market quickly and efficiently. In order to do that, leaders must ask themselves three key questions: What is our current level of DevSecOps maturity? Where is our desired level of DevSecOps maturity? How do we get there? Datadog's whitepaper introduces a DevSecOps maturity model that technical leaders can use to answer these three questions, and enable their organizations to stay competitive

A Recruiter’s Guide To Hiring In 2021

ZoomInfo

With vaccination rates rising, consumers spending more money, and people returning to offices, the job market is going through a period of unprecedented adjustment. As the New York Times observed, “It’s a weird moment for the American economy.” And recruiting professionals are caught in the middle. Businesses are looking to hire quickly, but they face a disjointed market.

Data Value Scorecard Report

This report examines the quantitative research of data leaders on data value and return on investment.

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. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. 451 Group’s research indicates 57% of the enterprises currently using a data lake cite improved business agility as a benefit.

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

Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments. According to the study conducted by Wakefield Research in 2021, only 22% of the data leaders surveyed have fully realized ROI in the past two years, with most data leaders (56%) having no consistent way of measuring it.

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 much concern and debate. Numerous 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. These risks undermine the underlying trust in AI and affect your organization’s ability to deliver successful AI projects, unhindered by potential ethical and reputational consequences.

Going to Market Smarter in the New Economy

ZoomInfo

The fight to find new customers and retain existing ones is the biggest business challenge for many companies. Technology will continue to play a part in fostering buyer allegiance and building brands in the “new normal.” In 2022, 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.

The Modern Customer Success Playbook

ZoomInfo

The evolution of every high-functioning, effective customer success strategy centers around three C’s: connected experiences, an engaging customer journey, and a culture built on customer-centricity. Satisfaction won’t cut it. Quarterbacking your customers to long-term success and growth is proven to combat churn and transform customer success teams into revenue-drivers.

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. In this eBook, discover four AI assisted sales hacks and get your reps hitting their number: Clone ideal accounts.

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.