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Don’t Get Left Behind in the AI Race: Your Easy Starting Point is Here

Cloudera

But for many enterprises, the biggest hurdle is getting started. It is more important than ever for companies to support the deployment of customer AI use cases, which is why I am excited about Cloudera’s Enterprise AI Fast Start. Reduced Resources: Get started with AI without a massive investment.

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What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. Machine learning adds uncertainty.

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How Real is Spatial Computing For The Enterprise?

Timo Elliott

Many thanks to Jerome Conin , part of the SAP Mobile Experience team which is working to get the most out of this technology in work environments. Oliver’s presentation, demos, and wide variety of use-cases helped convince me that the technology was maturing to the point where it was becoming really useful.

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Pair Programming with AI

O'Reilly on Data

In a conversation with Kevlin Henney, we started talking about the kinds of user interfaces that might work for AI-assisted programming. These methodologies stressed iteration: building something useful, demo-ing it to the customer, taking feedback, and then improving. That solution is probably embedded in an IDE.

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Defining Simplicity for Enterprise Software as “a 10 Year Old Can Demo it”

Cloudera

During the development of Operational Database and Replication Manager, I kept telling folks across the team it has to be “so simple that a 10 year old can demo it”. so simple that a 10 year old can demo it”. Watch this: Enterprise Software that is so easy a 10 year old can demo it. How hard is it for engineering to build?

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Text AI Updates Drive Faster Business Value

DataRobot Blog

Get Your Hands on These Text AI Upgrades Today. DataRobot AI Cloud platform customers can get started with these Text AI upgrades right away. For more information, visit DataRobot documentation and schedule a demo. Request a demo. Explore Our Text AI Upgrades.

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Build event-driven data pipelines using AWS Controllers for Kubernetes and Amazon EMR on EKS

AWS Big Data

Create an EMR virtual cluster Let’s start by creating a virtual cluster in Amazon EMR and link it with a Kubernetes namespace in EKS. services.k8s.aws/v1alpha1 kind: Bucket metadata: name: sparkjob-demo-bucket spec: name: sparkjob-demo-bucket kubectl apply -f ack-yamls/s3.yaml The module eks_ack_addons in addon.tf We use the s3.yaml