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Can Data Analytics Help with Choosing Reliable Event Organizers?

Smart Data Collective

Data analytics has become a very important element of success for modern businesses. Many business owners have discovered the wonders of using big data for a variety of common purposes, such as identifying ways to cut costs, improve their SEO strategies with data-driven methodologies and even optimize their human resources models.

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Cloud Hosting Creates Better Sales Opportunities through Improved Webinar Platforms

Smart Data Collective

Companies have taken their marketing strategies to the cloud in order to reach a larger audience and improve cost-effectiveness. One of the biggest benefits of aligning cloud technology with marketing strategies is that it gives companies a better opportunity to engage in webinar marketing. Host Diverse Webinars on Cloud Platforms.

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How a cloud-first enterprise application strategy boosts speed and scale for your business

CIO Business Intelligence

Against a backdrop of disruptive global events and fast-moving technology change, a cloud-first approach to enterprise applications is increasingly critical. What could be worse than to plan for an event that requires the scaling of an application’s infrastructure only to have it all fall flat on its face when the time comes?”.

Strategy 137
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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How to build a successful talent acquisition strategy

IBM Big Data Hub

Talent acquisition refers to the ongoing strategy and process an organization and its HR department uses to source, attract, evaluate, hire and retain the highly-qualified new employees it needs to grow. A well-crafted talent acquisition strategy has become a critical component for organizations seeking to secure a competitive edge.

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Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications

AWS Big Data

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams.

IoT 91
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Getting infrastructure right for generative AI

CIO Business Intelligence

For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. Do you have the data center and data science skill sets?” We looked at how much data we needed and for how long. It’s well within the budget.”