IDC find that organizations experienced with AI are moving to on-prem deployments and favor dedicated on-premises infrastructures for their AI environments. This approach offers key benefits- accelerated Innovation, customization and flexibility and data sovereignty.
OriginAI is an AI factory infrastructure solution built upon proven, pre-defined AI infrastructure architectures backed by Penguin's intelligent, intuitive cluster management software and expert services for designing, building, deploying, and managing AI infrastructure.
Enterprises are racing to develop generative AI but struggle with its challenges. Understanding AI’s evolution is key to leveraging its potential. Download the guide to explore its history, strategy considerations, and expert insights.
This book provides an introductory overview to LLMs and gen AI applications, along with techniques for training, tuning, and deploying machine learning (ML) models.
Discover how to overcome the top challenges in deploying AI at scale.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
How does Microsoft 365 Copilot integrate with existing Microsoft applications? Use this infographic as a visual guide to break it all down.
This e-book shows how enterprises across industries are using Red Hat OpenShift to build AI/ML solutions that deliver real business outcomes.
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.
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.
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.
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.
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.
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.
Discover how 9 industry leading companies are employing data annotation solutions to accelerate their machine learning projects and deliver the true promise of AI.
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!