Remove blogs tag hybrid-data
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Four things that matter in the AI hype cycle

CIO

Vector Databases To make use of a Large Language Model, you’re going to need to vectorize your data. Traditional data structures, typically organized in structured tables, often fall short of capturing the complexity of the real world,” says Weaviate’s Philip Vollet. Enter vector embeddings. For that, you’ll need an embedding model.

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Data security vs usability: you can have it all

Cloudera

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Quickly onboard data. Multi-tenant data access.

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Mastering Cloud Transformation for Business: Program Model

Perficient

In this series of blog posts, we will explore the four pillars of a successful Cloud Transformation: Program Model, Cloud Foundations, Portfolio Transformation, and Enterprise App Migration. Data: Ensuring that data strategy and workload modernization align to create a scalable data foundation for improved analytics, AI, and ML capabilities.

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Cloud Analytics Powered by FinOps

Cloudera

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications.

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Five Ways A Modern Data Architecture Can Reduce Costs in Telco

Cloudera

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. There are savings to be made in modernizing the data stack itself, in addition to applying data across the enterprise.

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Perimeter Is Where Your Workload Is: Creating Policy Abstracted from IP Addressing

Palo Alto Networks

In this new landscape, securing the perimeter no longer works and IP addresses are not an efficient or reliable way to keep track of workloads that are dynamic and moving in and out of the data center and cloud. ” We need to evolve away from the legacy approach to defining policy boundaries in the data center. .”

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An A-Z Data Adventure on Cloudera’s Data Platform

Cloudera

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

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