ZoomInfo

LinkedIn Recruiter is an effective way to start the recruitment process for an open position. But that doesn't mean there aren't some frustrating roadblocks on the network. That's where ZoomInfo Recruiter comes in, helping bridge the gap when job sourcing and communication efforts stall on LinkedIn. Check out our latest ebook for a guide to the in-depth, wide-ranging candidate and company data offered by ZoomInfo Recruiter — and make your next round of candidate searches faster, more efficient,

An interactive guide filled with the tools to turn your data into a competitive advantage. What do startups and Fortune 500 companies have in common? They rely on data to power products, business insights, and marketing strategy. From search engines to navigation systems, data is used to fuel products, manage risk, inform business strategy, create competitive analysis reports, provide direct marketing services, and much more.

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.

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.

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

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.

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.

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.

Are your embedded analytics stuck in the past? If you haven’t explored your options recently, you might be in for a BIG surprise. Don’t settle for Retro Analytics. Download this free guide today!

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

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.

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

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.

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.

Everything you need to know about payment optimization – an easy-to-integrate, PCI-compliant solution that enables companies to take control of their PSPs, minimize processing costs, maximize approval rates, and keep control over their payments data.

As a software company, you already know the value of data and analytics for your business. The decision then becomes whether to build your own in-house analytics or invest in an analytics platform that can be easily embedded into your software. Find out which one is the best decision for software providers like you.

We’ve all got loads of data at our fingertips. Which metrics are the most valuable to keep an eye on? In this eBook, we share the top 10 KPIs every product pro should know. Some of them might already be familiar to you, but others will be brand new.

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.