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Better together? Why AWS is unifying data analytics and AI services in SageMaker

CIO

Data warehousing, business intelligence, data analytics, and AI services are all coming together under one roof at Amazon Web Services. It combines SQL analytics, data processing, AI development, data streaming, business intelligence, and search analytics.

Analytics 183
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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 allows organizations to unlock deeper insights and act on them with unprecedented speed by automating the collection and analysis of user data. As Gen AI continues to evolve, its role in digital experience analytics will only grow.

Analytics 193
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With Neptune Analytics, AWS combines the power of vector search and graph data

TechCrunch

AWS decided to leave the debate to others by combining the best of both capabilities in a new service announced today at AWS re:Invent called Neptune Analytics. There’s been a debate of sorts in AI circles about which database is more important in finding truthful information in generative AI applications: graph or vector databases.

AWS 261
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What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Curate the data.

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

CIO

Technology leaders want to harness the power of their data to gain intelligence about what their customers want and how they want it. This is why the overall data and analytics (D&A) market is projected to grow astoundingly and expected to jump to $279.3 billion by 2030. That failure can be costly.

Analytics 172
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Homa raises another $100 million for its data-driven mobile gaming tools

TechCrunch

With Voodoo , Homa is one of the companies that have turned mobile gaming development into a methodical, data-driven process. Homa’s software development kit (SDK) helps you track various metrics thanks to built-in analytics features. Other investors in the Series B include Northzone, Fabric Ventures, Bpifrance, Eurazeo and Singular.

Games 355
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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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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. How do you differentiate one solution from the next?

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming.

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Monetizing Analytics Features: Why Data Visualization Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Turning embedded analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Discover which features will differentiate your application and maximize the ROI of your embedded analytics.

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How to Use a Semantic Layer to Scale Data & Analytics Across Your Organization

Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? 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.

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Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way.