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20 Predictions for 2020 from AI to Data Management

  • Trifacta Will Davis The Bloor Group Eric Kavanagh & The Bloor Group Evren Cakir

On-Demand Webinars

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Building Actionable Machine Learning Models Using Trifacta, DataRobot, and Tableau

From preparing data for machine learning to putting models to work and visualizing insights, delivering ROI from analytical projects used to take months. Self-service data preparation from Trifacta and automated machine learning from DataRobot expedites the entire process of developing and deploying actionable machine learning models to days. In this webinar recording, industry expert Jen…

  • DataRobot Jen Underwood

How the Role of Data Prep & ETL is Evolving

As businesses have modernized data processes to prioritize self-service and agility, the need for more “analysis ready” data, faster, has led to the advent of modern data preparation solutions. Data preparation platforms prioritize ease of use, rapid iteration, and machine learning-guided functionality to make the traditionally-tedious process of data cleaning more efficient and accessible to…

  • Ovum Paige Bartley & Trifacta Will Davis

Introducing the New Cloud Wrangler

Introducing the New Cloud Wrangler Now with a completely cloud-based architecture, Wrangler has array of new features focused on increasing ease-of-use and efficiency. Users benefit by never having to download any software and it lets our team push new features out at a much faster pace. Listen to this recording our webinar with Alon Bartur…

  • Trifacta Will Davis & Alon Bartur

How QEL Implemented an Agile Data Preparation and Reporting Platform

Insurance Demands a New Approach to Data Preparation and Reporting As an insurance professional, you may have found it difficult to consolidate, dirty and complex data for monthly reporting. You may have even used manual approaches causing downstream reporting issues and human error. Organisations that have achieved success in more quickly leveraging complex data (such…

  • Charles Taylor Ludovic Veale & QEL Jurriaan de Vries

Making Big Data Work in the Cloud

In this webinar you will learn: The advantages of Big Data cloud solutions with unlimited scalability, speed of deployment, simplified management, and cost reduction How to build an architecture that helps insulate from changes to data and schema The need to embrace self-service for business users, be it for preparing or analyzing data How to…

  • 451 Research Matt Aslett & Trifacta Bertrand Cariou

Harness the Power of Big Data Analytics

From BI to AI, the need for Big Data and analytics is pervasive and transformational. However, Big Data technologies such as Hadoop or Spark are still quite complicated and not leveraged to their full capacity by business practitioners. New technologies are available to leverage the power of big data platforms for self-service data preparation and automated machine learning to help…

  • DataRobot Raju Penmatcha & Trifacta Connor Carreras

How to Wrangle Data for Machine Learning on AWS

Machine learning outcomes are only as good as the data they are built upon, but preparing data for machine learning is a time-consuming process. The work of preparing data (data wrangling) for analytics can consume over 80% of the project effort. Data wrangling solutions running on Amazon Web Services (AWS) can help streamline machine learning…

  • AWS Pratap Ramamurthy, Consensus Corp Harrison Lynch & Trifacta David McNamara

Minimizing Model Risk with Automated Data Preparation & Machine Learning

In today’s complicated financial landscape predictive analytics are a necessity for banks to remain competitive, but working with data and developing accurate predictive models is challenging. The quality of predictive output relies on the quality of input. That’s why proper data preparation is such a critical success factor for achieving optimal machine learning results. However,…

  • DataRobot  Seph Mard & Trifacta Chris Moore

The State of Data Preparation in 2018

Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint research across UC Berkeley and Stanford, it is now recognized as a critical technology by end users, organizations and industry analysts alike. Data preparation has evolved tremendously since the category first emerged…

  • Dresner Advisory Services Howard Dresner & Trifacta Will Davis

Top 4 Excel Functions Done Better with Data Wrangling

Analysts have relied on Excel for decades, but as the size, variety, and pace of data accelerates, certain Excel functionality has begun to feel archaic. Today’s data wrangling platforms offer analysts new approaches to preparing data that alleviate Excel bottlenecks. In this webinar, we will demonstrate how to leverage data wrangling techniques to execute common…

  • TCB Analytics Tanya Cashorali & Trifacta David McNamara