BI & Data Trends 2022

BI & Data Trends 2022
According to PwC, nearly 4 out of 5 CEOs believe that remote collaboration will last after the pandemic. And Gartner predicts that through 2025, 80% of organizations trying to scale digital business will fail because they don’t take a modern approach to data and analytics governance.
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Spotlight

OTHER ON-DEMAND WEBINARS

Applying Hybrid Operational/Analytic Processing (Hoap) in the Real World

MariaDB

The need to monetize data has become a strategic imperative for businesses undergoing digital transformation, whether it’s using data to improve customer engagement, identify compelling opportunities or deliver actionable insight. However, as businesses look to expand revenue-generating, customer-facing applications beyond operational processing to include analytics, they find themselves outgrowing the their transactional database. They need full operational and full analytic capabilities.
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How to Operationalize Data Mapping for Engineering

In this webinar, we will discuss the importance of data maps in building a privacy program. We look at the gap between privacy and engineering teams, the problems of scaling privacy programs with a business process approach to data mapping, and how an application-led approach helps you develop dynamic & complete data maps.
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UNDERSTANDING BIG DATA & ARTIFICIAL INTELLIGENCE

Yoh

Still feeling a bit in the dark about Big Data or terrified by the term Artificial Intelligence? Many organizations have been embracing both of these concepts and capitalizing on their insights for years. Now it’s your turn to truly get on board with how you can use Big Data and Artificial Intelligence to shape your Talent Acquisition strategy. And when better to learn more about these than at the beginning of a new year? Hear from a panel of visionaries and learn the ins and outs of Big Data and Artificial Intelligence, from providing in-depth explanations to leadership, to identifying their pitfalls and opportunities, who should be spear-heading these initiatives within your organization and how to implement.
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Accelerating Machine Learning on Databricks

CartoDB

Learn how you can combine CARTO and Python for spatial data science from the comfort of your own Jupyter notebook. In this technical webinar, Andy Eschbacher (Data Scientist at CARTO) and Joe Pringle (VP - North America at CARTO) show how to apply CARTOframes and CARTO's Python SDK to build powerful end-to-end spatial data science workflows. This webinar specifically focus on two areas: Using CARTO in a Jupyter notebook. Demo examples of custom data science web applications built with CARTOframes and CARTO VL.
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