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The future of Gen AI in analytics

CIO

Enter Gen AI, a transformative force reshaping digital experience analytics (DXA). Gen AI as a catalyst for actionable insights One of the biggest challenges in digital analytics isn’t just understanding what’s happening, but why it’s happening—and doing so at scale, and quickly. That’s where Gen AI comes in.

Analytics 317
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Top 3 considerations for choosing a digital experience analytics platform

CIO

The impact of DXA on customer experience For product leaders, Digital Experience Analytics (DXA) has provided a transformative shift. Quantum Metric’s position in the DXA space Building on this innovation, we’re thrilled to be recognized as a leading Digital Experience Analytics Platform by Research in Action’s 2024 Vendor Selection Matrix™.

Analytics 289
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Cloud analytics migration: how to exceed expectations

CIO

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

Analytics 130
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Why CIOs should embrace the potential of data and analytics enablement platforms for a brighter future

CIO

This is why the overall data and analytics (D&A) market is projected to grow astoundingly and expected to jump to $279.3 In a recent Gartner data and analytics trends report, author Ramke Ramakrishnan notes, “The power of AI and the increasing importance of GenAI are changing the way people work, teams collaborate, and processes operate.

Analytics 279
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Monetizing Analytics Features

Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics. But today, dashboards and visualizations have become table stakes.

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What is predictive analytics? Transforming data into future insights

CIO

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. As such it can help adopters find ways to save and earn money.

Analytics 363
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MrBeast’s analytics platform ViewStats is out in beta

TechCrunch

MrBeast (Jimmy Donaldson) co-founded the new analytics platform ViewStats, which is now available in beta. The top YouTuber in the U.S., Similar to tools like Socialblade, ViewStats uses the YouTube API to unveil detailed stats about channels that both creators and their fans can see.

Analytics 336
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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics.

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Blueprint to Modernize Analytics

As the value of modern in-app analytics becomes clearer, more companies are making analytics a priority before it becomes a problem. The longer you wait to modernize your application’s analytics, the harder you’ll eventually feel the pain of lost customers and missed revenue. Download the eBook to get started today!

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market. 4 common approaches to analytics for your application.

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Delve into the diverse use cases where data analytics plays a pivotal role. Key objectives: Introduction to the structures and ownership dynamics of data platform, analytics and AI teams, along with an exploration of various roles in the data ecosystem. Join us for a forward-looking exploration of the future data landscape!

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success.