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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Cloud analytics is one example of a new technology that has changed the game. Let’s delve into what cloud analytics is, how it differs from on-premises solutions, and, most importantly, the eight remarkable ways it can propel your business forward – while keeping a keen eye on the potential pitfalls.

Analytics 203
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Predictive analytics vs. AI: Why the difference matters in 2023?

Data Science Dojo

Artificial Intelligence (AI) and Predictive Analytics are revolutionizing the way engineers approach their work. This article explores the fascinating applications of AI and Predictive Analytics in the field of engineering. Descriptive analytics involves summarizing historical data to extract insights into past events.

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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning Blog

Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. Solution overview The following diagram illustrates the solution architecture.

AWS 96
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Jira & Zendesk Aid with Analytics-Driven Management

Smart Data Collective

Description: Looking for a comparison between Jira Service Management and Zendesk? Big data and technical support services are twin pillars of successful organizations. There are a growing number of platforms that help companies use analytics to offer better technical support.

Analytics 104
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Embedded analytics offers a strategic solution to this challenge. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Here’s how.

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AI transforms the IT support experience

IBM Journey to AI blog

We know that understanding clients’ technical issues is paramount for delivering effective support service. Enterprises demand prompt and accurate solutions to their technical issues, requiring support teams to possess deep technical knowledge and communicate action plans clearly.

AI 73
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Top 11 AI Call Center Software for 2024

Towards AI

This blog explores the top 11 call center solutions, including their features, pros, cons, pricing, and user/expert opinions. How Can AI Be Used To Improve Customer Service? Sentiment analysis and predictive analytics offer insights into customer behavior, allowing for proactive service adjustments.

AI 114
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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.". Brought to you by Logi Analytics.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. Brought to you by Logi Analytics. How much value could you add? This framework explains how application enhancements can extend your product offerings.

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Insiders Guide to Self-Service Analytics

Self-service analytics are vital for how your users interact and engage with your application. As you explore analytics solutions for your application, see why self-service analytics— and how they're delivered— can prove critical to the adoption and stickiness of your application.