White Papers


The Future of Cybersecurity: Anticipate, Prevent and Neutralize Cyber Risks with SOCaaS

Move beyond reactive cybersecurity with SOCaaS. Learn how AI-driven tools like MDR and EDR enable proactive threat management, and get a checklist for choosing providers and adopting cutting-edge security.


Reframing Cybersecurity A Risk Management Approach

Cybersecurity is a critical business risk, not just an IT issue. This ebook shows how to align cyber investments with business goals, simplify risks for leaders, and build resilience with a proactive approach.


Modernizing MDM: Unify and mobilize trusted data in real time

This white paper provides a comprehensive look at how you can leave the challenges of legacy MDM behind and realize the cost savings and productivity gains a modern MDM can deliver.


Ventana White Paper: Enhancing Business Agility with Trusted Data Products

Unlock AI-Powered Data Unification. Are you ready to remove data silos quickly and create unique customer profiles for accurate segmentation? The latest white paper from Ventana Research reveals how you can achieve these goals and more.


IDC Spotlight: Boosting AI Impact with Data Products

The digital business era, driven by artificial intelligence (AI) and generative AI (gen AI), demands unified, interoperable data to overcome challenges like data integrity and control concerns. IDC’s January 2024 survey of 881 respondents reveals significant investment in gen AI, emphasizing the need for centralizing intelligence about data. Trends such as modern data architectures and treating data as a product underscore the importance of data interoperability.


Building a trusted data foundation for AI/ML and business intelligence (BI)

With high-quality, timely data for your business intelligence and AI/ML initiatives, you can improve business efficiency, mitigate risks, enhance the customer experience, and improve insights for better business outcomes. Learn how Reltio platform uses ML and gen AI to automate entity resolution, improve data quality, and boost data steward productivity—setting a new standard for efficiency and value in data unification.


Infographic: Shield of Excellence

The shift from Microsoft E3 to E5 is making a huge difference in security posture and peace of mind. In this infographic, explore some of the top benefits of E5.


Whitepaper: Prepare Your Environment for Microsoft 365 Copilot

Deep dive into why Zero Trust and Microsoft E5 are critical upgrades when securing a Microsoft 365 Copilot deployment. Read the guide to unpack how Insight can help you prepare.


Whitepaper: When “As Secure As Possible” Isn’t Enough

As bad actors advance their approaches, Microsoft E5 is helping organizations rise to the challenge. In this whitepaper, read why now is the time to upgrade from Microsoft E3 to E5.


Article: Before You Take Off With Microsoft 365 Copilot, Don’t Skip This Essential Preflight Adoption Guide

How do you get the most ROI from your Microsoft 365 Copilot investment? Read this article for a deep dive into Copilot use cases, readiness strategies and more.


Infographic: Explore the Microsoft 365 Copilot Universe

How does Microsoft 365 Copilot integrate with existing Microsoft applications? Use this infographic as a visual guide to break it all down.


Advance your business with AI and ML

This e-book shows how enterprises across industries are using Red Hat OpenShift to build AI/ML solutions that deliver real business outcomes.


Data Warehouses Meet Data Lakes

Ventana Research found that 73% of organizations are combining their data warehouse and data lakes in some way — and 23% of organizations are replacing the data warehouse with data lakes. As the data warehouse and data lake converge, a new data management paradigm has emerged that combines the best of both worlds: the Lakehouse architecture.


The Outsourcers' Guide to Quality

Like any project or task, without the proper tools, data labeling vendors simply can’t do a good job. Learn tips for evaluating vendor toolsets and our approach to tooling in the Outsourcer's Guide to Quality.


Crowd vs. Managed Team - A Study on Quality Data Processing at Scale

Hivemind data scientists tested CloudFactory’s managed workforce against a leading crowdsourcing platform’s anonymous workers. Completing a series of tasks, from basic to complicated, they determined which team delivered the highest-quality structured datasets and costs associated.


20 Critical Questions to Ask Data Labeling Providers

When you’re creating high-performing machine learning models, you need quality, labeled data...and lots of it. Getting it can be a challenge. A growing number of innovators are outsourcing data labeling operations so their teams can focus on strategy and innovation. Choosing a data labeling partner is an important decision that can affect your model performance and speed to market. But how do you choose the right data labeling vendor? Find all of the answers here.


Foundations for Architecting Data Solutions

Now more than ever, CIOs and COOs must maximize long-term success throughout the life of AI projects. One of the ways of doing that is by reducing risk.


Scaling Quality Training Data

The right workforce gives you the flexibility to respond to changes in the market, products or your business. Find out which workforce is ideal for scaling and accelerating your AI training data labeling.


Accelerate AI With Annotated Data

Discover how 9 industry leading companies are employing data annotation solutions to accelerate their machine learning projects and deliver the true promise of AI.


Reduce Risk & Improve Analytics with Solutions to Real-time KYC Compliance

Leverage our digital identity cloud API Personator to protect against fraud, verify customer data and ensure compliance at point-of-entry. Cross verify all contact information – address, name, email and phone – and SSN and ID documentation with Personator. Try it Free!


GE Aviation: From Data Silos to Self-Service

This white paper tells the story of GE Aviation’s data revolution. Discover the history of their data teams, the technological and organizational setup that enabled transformation, use cases, how they handle data education, and more.


The Importance of AutoML for Augmented Analytics

This white paper provides a deep dive into how AutoML came to be, the difference between it and Augmented Analytics, and how they both have brought about the rise of the citizen data scientist.


Empowering Chief Data Officers With Tools to Succeed

We surveyed more than 50 Chief Data Officers (CDOs) worldwide to uncover how they overcome their data and organizational challenges. This report explores the data landscape and maps the Data Revolution. Learn more.


Six Key Challenges to Building a Successful Data Team

Whether you’re in the process of building a data team from the ground up or looking to scale a data team that already exists, this white paper will detail how to address, avoid, and fix challenges. Learn more.


Data Science Operationalization: Ten Steps

Use this guide to learn how to find the common ground between data and IT teams, empowering them to work together to operationalize data projects - quickly. Get the details behind the ten recommendations to go from data project development to operationalizion. Learn more.