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What is Data Integration? Process, Tools, and Examples

IT Toolbox

Creating a unified view of data residing in different systems in disparate formats is called data integration. The post What is Data Integration? Process, Tools, and Examples appeared first on.

Examples 246
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What Is Descriptive Analytics? Definition, Process, and Examples

IT Toolbox

Descriptive analytics examines past data to provide a comprehensive understanding of historical patterns and trends. Definition, Process, and Examples appeared first on Spiceworks. The post What Is Descriptive Analytics?

Examples 265
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What Is NoSQL? Features, Types, and Examples

IT Toolbox

NoSQL databases are non-tabular and handle data storage differently than relational tables. Features, Types, and Examples appeared first on Spiceworks. The post What Is NoSQL?

Examples 246
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What is Metadata? Definition, Types, Uses, and Examples

IT Toolbox

Metadata is data about data: i.e., its properties, history, origin, versions, and other information about a data asset. Definition, Types, Uses, and Examples appeared first on Spiceworks. The post What is Metadata?

Examples 246
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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. The quick-to-deploy Senzing® entity resolution API enables graph database users to gain insights from their data they couldn’t see before.

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What is a Supercomputer? Features, Importance, and Examples

IT Toolbox

A supercomputer processes data at lightning speeds, measured in floating-point operations per second (FLOPS). Features, Importance, and Examples appeared first on. The post What is a Supercomputer?

Examples 246
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Outcomes Drive Your Data Architecture Strategy

Forrester IT

The mark of an insight driven business is a data architecture strategy grounded on business outcomes. Unfortunately, investments to modernize data platforms have historically led to solving the challenges, bottlenecks, and objectives of IT.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.

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Outrun Your Competition: Best Practices for Accelerating Sales Processes

By building a modern GTM motion that uses data, automation, and proven best practices to unlock insights, engage customers, and win faster. How can you speed it up?

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How Banks Are Winning with AI and Automated Machine Learning

Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics.

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Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. The risk of bias in artificial intelligence (AI) has been the source of much concern and debate.

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Realizing the Benefits of Automated Machine Learning

Real-world examples of companies using the DataRobot automated machine learning platform. This white paper covers: What’s new in machine learning and AI. The definition of automated machine learning and its benefits for organizations across multiple industries.

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How to Scale a Data Literacy Program at Your Organization

Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health

Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. In this webinar, you will learn about: Launching data literacy programs and building business cases.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.

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Solving the Biggest Tech Challenges in RevOps

In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data.