To put this to the test, Aible offers a 30-day satisfaction guarantee where Aible doesn’t get paid unless the customer sees value from AI within 30 days. Aible partnered with Intel to prove this ‘30 day to AI value’ approach at 25 cus…
With the steady increase in Internet of Things (IoT) & Artificial Intelligence (AI) use cases, coupled with the declining cost of sensors, restaurant operators globally are adopting technology that digitizes restaurant operations, creates greater o…
A large retailer uses Artificial Intelligence, the Internet of Things and Remote services to digitally transform store operations across over 2,100 connected stores in North America. The retailer improved occupant comfort, transformed store equipment m…
In this guide, Matrox explores key market trends and areas of future opportunity, the benefits and challenges of leveraging a remote production model, and how the right solution gives broadcasters the flexibility to cover more live events with fewer re…
As Kubernetes adoption becomes increasingly more widespread, securing Kubernetes environments from ever-more prevalent and dangerous cyber attacks is imperative. This cheat sheet provides a valuable guide and a compendium of best practices, includin…
As the adoption of Kubernetes continues to grow, so does the number of Kubernetes distributions, solutions, and platforms—making it difficult to evaluate and choose from a large pool of vendor offerings. In this Buyer’s Guide, we highlight key…
Managing multiple Kubernetes clusters at scale is not a cakewalk. Learn how to easily deploy production Kubernetes in your organization by learning standard requirements, add-ons, and commands for operational success. This cheat sheet breaks down al…
In a multi-tenant Kubernetes architecture, multiple applications, services, workloads, users, or teams share a cluster’s resources. A well-developed multi-tenant strategy can drive more efficient use of infrastructure and personnel, improvin…
Research by Forrester states that 76% Organizations expect their ML use cases to increase in the next 18 months. In this eBook, you will explore: 1. Implications of large scale ML models in production 2. Challenges with MLOps and how to…
The customer’s existing ML models determining Pricing and Promotion had high infrastructure cost, slow run time, high maintenance, low prediction quality, and could not be migrated to multiple geographies. Furthermore, training the model for any …
