10 Must-Have Capabilities of an Enterprise AI Platform

10 Must-Have Capabilities of an Enterprise AI Platform
Data-driven organizations use AI and ML, either natively within applications or infused into applications, to gain enhanced decision intelligence as well as automate processes for greater efficiency. But the proliferation of AI projects, ML models, APIs, and data sets to enable these processes present serious challenges that stand in the way of successful AI and ML deployments.
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Rakuten Marketing on acquiring new customers through AI-powered, data-driven prospecting

Rakuten Marketing

In a recent InternetRetailing webinar, How to acquire unexpected new customers through AI-powered, data-driven prospecting, we heard from Dr Neal Richter, CTO at Rakuten Marketing. Here’s a bulletpoint overview of his presentation.
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Measuring Database Performance on Bare Metal AWS Instances

ScyllaDB

AWS has recently announced a new type of instance targeted at I/O intensive applications, the i3.metal. That instance does away with the virtualization layer altogether, and gives back the resources that would otherwise be used by the hypervisor back to the application.To use all of those resources — 72 CPUs and 512GB of memory — a database needs to be have the ability to scale both up and out.
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Steering the Sea Monster: Integrating Scylla with Kubernetes

ScyllaDB

Kubernetes is a declarative system for automatically deploying, managing, and scaling server-side applications and their dependencies. In this webinar, we will introduce Kubernetes at a high level and demonstrate how to get started using Scylla with Kubernetes and Google Compute Engine.Join us to:Understand the principles of Kubernetes and how it solves common problems of deploying distributed applications.
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Smarter than Spreadsheets: How AI Will Supercharge Your Resource Planning in 2023

Working smarter not harder is the goal of every business, but in the architecture and engineering space, where margins can be razor-thin, it’s imperative. So, how do firms work smarter without spending a lot of time wising up? By leveraging artificial intelligence—or AI—for their resource planning.
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