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AI Technology is Invaluable for Cybersecurity

Smart Data Collective

AI technology is helping with cybersecurity in a myriad of ways. The proliferation of cybersecurity firms reflects the increasing sophistication of cyber threats in today’s technology-driven society. They also uphold relevant regulations and protect systems, data, and communications.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

How companies in Europe are preparing for and adopting AI and ML technologies. In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Data Platforms. Data Integration and Data Pipelines.

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Top 4 Ways to Improve Storage Performance and Increase Agility

CDW Research Hub

In today’s data-driven world, your storage architecture must be able to store, protect and manage all sources and types of data while scaling to manage the exponential growth of data created by IoT, videos, photos, files, and apps. Flash storage and NVMe remove bottlenecks from workloads across the data center.

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Customer Experience and Emerging Technologies: My CXChat Summary on Artificial Intelligence, Machine Learning and the Customer

Business Over Broadway

The chat (#CXChat) was on customer experience and emerging technologies. I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. This week’s CXChat was about customer experience and emerging technologies. ’ Also, research shows that CX is a priority but technology adoption lags.

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Big Data Ingestion: Parameters, Challenges, and Best Practices

datapine

This pace suggests that 90% of the data in the world is generated over the past two years alone. A large part of this enormous growth of data is fuelled by digital economies that rely on a multitude of processes, technologies, systems, etc. Data has grown not only in terms of size but also variety. Self-Service.

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever. Software development has made great strides in terms of saving thanks to Big Data.

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The DataOps Vendor Landscape, 2021

DataKitchen

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix.

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