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Avoid these 8 Data-related Mistakes on Data Projects

insideBIGDATA

This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 8 data-related mistakes on data projects

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Scaling Data Quality with Computer Vision on Spatial Data

insideBIGDATA

In this contributed article, editorial consultant Jelani Harper discusses a number of hot topics today: computer vision, data quality, and spatial data. Its utility for data quality is evinced from some high profile use cases. This technology can produce similar boons for other facets of the ever-shifting data ecosystem.

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How Data Silos Hinder Big Data Analytics and How to Overcome Them

insideBIGDATA

In this contributed article, IT Professional Subhadip Kumar draws attention to the significant roadblock that data silos present in the realm of Big Data initiatives. In today's data-driven landscape, the seamless flow and integration of information are paramount for deriving meaningful insights.

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Decoding the Data Landscape: Dr. Kiran R on Data Science & Innovation

Analytics Vidhya

In this episode of Leading with Data, we’re joined by Dr. Kiran R, a distinguished leader in Applied ML and Data Science, who shares insights from his extensive experience at Microsoft, VMware, and beyond. With a Ph.D.

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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)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role.

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Data Blending: Manage Your Data Efficiently and Cost-Effectively

insideBIGDATA

In this contributed article, Lukas Racickas, Product Manager at Coresignal, believes that with the global marketplace witnessing a relentless data surge, business leaders are on a quest for strategies that maximize data utility. Data Blending' positions businesses at the frontier of data analytics.

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Close the Data Gap

insideBIGDATA

In this contributed article, Sangeeta Krishnan highlights how a data gap refers to missing data about a particular area of interest. Data gaps are a problem for organizations of all sizes. They can be costly, frustrating and time consuming to fix.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity?

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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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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies.

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How to Build Data Experiences for End Users

Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.

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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.

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You’re Invited: Innovate Through Data Virtual Summit

Speaker: Logi Analytics

Logi Spark 2021 consists of two days of networking, best practice sessions, and forward-thinking keynotes on the future of data. Preview our sessions and sign up to join other data leaders looking to transform the world of analytics.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?