Using Machine Learning to Manage & Analyze Unstructured Financial Services Data: Pendo Systems

Name: Using Machine Learning to Manage & Analyze Unstructured Financial Services Data: Pendo Systems
Uploaded: 2019-03-26
Duration: 13 min 54 s
Description: Pendo Systems's CEO and founder, Pamela Cytron, Head of Marketing, Philip Smith, Chief Technical Officer, Philip Dodds, and Data Scientist, Lecia Pearce, discuss how they are using machine learning to manage and analyze unstructured financial services data, including handling messy client data, data processing and analysis, and creating a user-friendly experience.

Auto scroll

Tools

Tools

Download PDFopens in new window
Cite
Cite icon close
Format APA

Smith, P., Cytron, P., Dodds, P., & Pearce, L. (Speakers). (2019). Using machine learning to manage & analyze unstructured financial services data: pendo systems [Video]. SAGE Research Methods. https://dx.doi.org/10.4135/9781526493279

Smith, Philip, Pamela Cytron, Philip Dodds, and Lecia Pearce. "Using Machine Learning to Manage & Analyze Unstructured Financial Services Data: Pendo Systems." In SAGE Video. London: SAGE Publications Ltd, 2019. Video, 00:13:54. https://dx.doi.org/10.4135/9781526493279.

Smith, P., Cytron, P., Dodds, P. and Pearce, L., 2019. Using Machine Learning to Manage & Analyze Unstructured Financial Services Data: Pendo Systems, SAGE Video. [Streaming Video] London: SAGE Publications Ltd. Available at: <https://dx.doi.org/10.4135/9781526493279 & gt; [Accessed 7 Jul 2022].

Smith, Philip, et al. Using Machine Learning to Manage & Analyze Unstructured Financial Services Data: Pendo Systems. Online video clip. SAGE Video. London: SAGE Publications, Ltd., 26 Mar 2019. doi: https://dx.doi.org/10.4135/9781526493279. 7 Jul 2022.

Using Machine Learning to Manage & Analyze Unstructured Financial Services Data: Pendo Systems [Streaming video]. 2019. doi:10.4135/9781526493279. Accessed 07/07/2022

copy to clipboard
or

Export to your reference manager Endnote
- Export
- Cancel
Share
Share icon close
Share via
Email

Please log in from an authenticated institution or log into your member profile to access the email feature.

Sign in/register
Embed
Embed icon close
Embed this Content
Add this content to your learning management system or webpage by copying the code below into the HTML editor on the page. Look for the words HTML or </>. Learn More about Embedding Video icon link (opens in new window)
Clip - https://methods.sagepub.com/video/using-machine-learning-to-manage-and-analyze-unstructured-financial-service

Embed code:

Copy to clipboard

Select a length: Entire video

Select a size:

420x236

640x360

853x480

Sample View:
(opens in new window)

Cancel
Get link
Get link icon close
Select a length: Entire video

Link to this page directly with a permalink:
https://methods.sagepub.com/video/using-machine-learning-to-manage-and-analyze-unstructured-financial-service

Copy to clipboard
- Cancel

Using Machine Learning to Manage & Analyze Unstructured Financial Services Data: Pendo Systems

Video Type: In Practice

Transcript

Summary

Sign in to access this content

Get a 30 day FREE TRIAL

Watch next in SAGE Video

Data Management: Dealing with Messy Data by Example

Module Two: Transforming the Data

Using Data Science to Develop an App for Better Beekeeping: HiveTracks

Studying Event Detection Using Twitter Data and Time-Series Analysis

Support Vector Machine (SVM): Practice

Support Vector Machine (SVM): Theory

Using Data Science for Tick Genome Assembly: Chan Zuckerberg Biohub

Using Interactive Machine Learning to Build New Musical Instruments

More like this in SAGE Research Methods

Creating and Verifying Data Sets with Excel

Machine Learning

Machine Learning Interpretation Tools

An Introduction to Data Collection: Sharing And Reusing Data

Analyse-It

Analytic Mapping and Geographic Databases

Capital Punishment From the Polls to the Paper: Organizing Online Data to Explain Changes Over Time

Chartlr

SAGE Recommends