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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. Comet.ML — Allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility. Locke Data — Data science services.

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How to Launch Your AI Projects from Pilot to Production – and Ensure Success

CIO Business Intelligence

Have business leaders defined realistic success criteria and areas of low-risk experimentation? Where there are thousands of IoT devices, there are opportunities to deploy AI applications to run on the devices. Here are several factors to consider: Educate business leaders about their roles in ML projects.

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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

P&G) has grown to become one of the world’s largest consumer goods manufacturers, with worldwide revenue of more than $76 billion in 2021 and more than 100,000 employees. It has moved past what Cretella calls the “experimentation phase” with scaled solutions and increasingly sophisticated AI applications.

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What Heineken’s CIO is brewing for better connectivity

CIO Business Intelligence

As part of Heineken’s 2021 EverGreen strategy to commit to future-proof the organization, adapt to market dynamics, and emerge stronger from the pandemic, there’s the objective to digitally transform the business and its relations with stakeholders. There’s also a growing emphasis on improving team performance.

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The History of Malware: A Primer on the Evolution of Cyber Threats

IBM Big Data Hub

1971: Creeper worm Just five years after John von Neumann’s theoretical work was published, a programmer by the name of Bob Thomas created an experimental program called Creeper, designed to move between different computers on the ARPANET , a precursor to the modern Internet.

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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

With a combination of low-latency data streaming and analytics, they are able to understand and personalize the user experience via a seamlessly integrated, self-reliant system for experimentation and automated feedback. In response, we launched On-Demand streams in 2021 to provide a simple and automatic scaling experience.

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