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Data Science & Machine Learning

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Data Science & Machine Learning

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Linking Unstructured Data Using Machine Learning

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Improving ML Accuracy & Trust with Humans in the Loop

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Metaflow: Rapid Reaction

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Predictive Drilling

Keeping the Drill Bit in the Pay

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Data Science & Machine Learning
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More for
Data Science & Machine Learning
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Data Science & Machine Learning
2020-01-13
false
Lightning Talk

UX Design for Data Products

  • Improving data products through UX design
  • Understanding, trusting, & taking action on data
  • Workflows, information hierarchy, & design systems
  • Testing designs to gain insights and iterate
2020-01-06
true
Lightning Talk

Machine Learning For Structured Finance

  • Alternative Investments
  • Predict Next-Best Position
  • Score Next-Best Move
  • Time-Series Forecasting
2019-11-06
false
Lightning Talk

Machine Learning CI/CD Pipelining

  • Productionizing machine learning
  • Machine learning CI/CD deployment
  • Delivering ML outcomes to users
  • Data science production
2019-11-05
false
Lightning Talk

What is a Data Product?

  • Data Products
  • Machine Learning CI/CD Pipeline
  • Data Science as a Product
  • Scalable Data Science
2019-10-23
false
Lightning Talk

Model Interpretability

  • Bias Detection/Correction
  • Accurate Interpretation
  • Model Fairness
  • Factor & Sensitivity Analysis
2019-07-12
false
Lightning Talk

Transportation, Auto & Infrastructure

  • Risk Based Characteristics
  • Varied Infrastucture
  • Risk Scoring
  • Time-Series Forecasting
2019-07-09
false
Lightning Talk

Deploying Machine Learning Systems

  • Scatter Plots
  • ML Behind the Scenes
  • Satisfaction Scoring
  • Linear Regression
2019-07-09
false
Lightning Talk

Linear Regression in Machine Learning

  • Simple Models
  • Line of Best Fit
  • Scatter Plots
  • Customer Satisfaction
2019-07-09
false
Lightning Talk

Machine Learning For Supply Chain

  • Demand Prediction
  • Inventory Planning
  • Forecasting
  • Neural Networks
2019-07-09
false
Lightning Talk

Machine Learning For Oil & Gas (Part 1)

  • Predictive Maintenance
  • Save Time & Money
  • IoT Devices & Sensors
  • Graph/ML Algorithm
2019-07-09
false
Lightning Talk

Keeping Humans in the Machine Learning Loop

  • Verification
  • Software & Hardware Trust
  • Machine Learning Automation
  • Lower Barrier Adoption
2020-11-18
false
Online Seminar

Improving ML Accuracy & Trust with Humans in the Loop

  • Key areas where adding human-in-the-loop improves AI results
  • Data in AI ecosystem
2020-11-04
false
Online Seminar

Applying Notebook Analysis in Your Trading Applications

  • Data science applications to trading systems
  • Risks commonly encountered in nascent applications
  • How notebooks can be embedded in existing applications
  • Trading or risk management, to control access, and report on results
2020-10-28
false
Online Seminar

Retail Fraud Round Table with TigerGraph

  • Key Challenges in Retail Fraud
  • Methods to reduce false positives by 10%
  • Fraud based ‘data products’ for Preventive & Predictive analytics
  • Use of Visualization for ‘Explainable’ ML
2020-09-22
false
Online Seminar

Productizing Data Science in Commercial Products

  • Data product idea generation
  • Stakeholder ROI expectations
  • Data science R&D and shipping product
  • Missing pieces from productization today
2020-05-29
false
Online Seminar

Data Products Strategy and Implementation Round Table

  • Data Products Organizational Strategy
  • Data Products Implementation Roadmapping
  • Delivery Optimization
  • Portfolio Optimization
2020-04-09
false
Online Seminar

Data Products: What Product Managers Need to Know about Productizing Data Science

  • Help data science teams produce value
  • Data Science development cycles
  • How much data do I need to do X?
  • Syncing product and data science teams
2020-03-02
false
Online Seminar

Technological Foundation of Data Products

  • Data Versioning
  • Computational Graphs
  • Machine Learning CI/CD
  • Deploying Data Products
2019-12-11
true
Online Seminar

Deploying Data Products

  • Use Cases
  • Recouping Data Science Investment
  • Increased Workflow Visibility
  • Required Data; Expected Gains
2019-07-17
false
Online Seminar

Fraud Detection Using ML & Graph

  • Technology integration
  • Actor & entity relationships
  • Risk scoring with real-time data
  • Machine Learning for fraud detection
2019-07-10
false
Online Seminar

Architecting a Corporate Compliance Platform with Graph and NoSQL Databases

  • Graph-enabled approach
  • Data model design
  • System integration
  • Expero & Scylla
2019-06-18
false
Online Seminar

Supply Chain: Transportation and Logistics

  • Accuracy
  • Adaptability
  • Machine Learning
  • Time Series & Forecasting
2018-05-30
true
Online Seminar

Data Management for Oil and Gas: Predictive Maintenance Intelligence

  • Predictive Maintenance
  • Oil Field IoT
  • Machine Learning & Time Series Data
  • DataStax Enterprise
2018-05-16
false
Online Seminar

Data Management for Oil and Gas

  • Asset Management
  • Equipment Maintenance
  • Machine Learning
  • DataStax Enterprise
2018-04-18
false
Online Seminar

Customer 360 Using Graph & ML

  • Graph 101 for Customer 360
  • Predictive Machine Learning
  • Intervene, Recommend, Cross-Sell
  • Datastax Enterprise
2018-04-11
false
Online Seminar

Fraud Detection and Optimization using Graph & ML

  • Finserv Fraud with Graph and ML 101
  • Determanistic Algorithms
  • Demo: Insurance Fraud
  • Datastax Enterprise
2018-04-04
false
Online Seminar

Supply Chain Optimization with Graph & ML

  • Why Graph & ML for Supply Chain?
  • Predictive Analytics
  • Demo: Aircraft Fleet and Routing
  • Datastax Enterprise
2018-02-28
false
Online Seminar

Graph & ML for Supply Chain

  • Graph & Machine Learning Algorithms
  • Machine Learning Examples
  • Demo: Rerouting
  • Visualations of Analysis
2018-02-20
false
Online Seminar

Lock Down Funding for Intelligent, Graph-Enhanced Fraud Solutions

  • 6 Steps for Graph Project Funding
  • Value Calculation Examples
  • ROI Planning
  • Get Graph Projects Funded with Neo4j
2018-02-14
false
Online Seminar

Graph & ML for Customer 360

  • Graph 101 Banking
  • Banking 360
  • Intervene with ML & Graph
  • Predictive Similarity with ML & Graph
2018-02-07
false
Online Seminar

Graph & Machine Learning for Fraud Detection

  • Graph 101 for Fraud Avoidance
  • Fraud Machine Learning Algorithms
  • Visualizations for Fraud Avoidance
  • Demo: Credit Card Banking
2018-02-06
false
Online Seminar

Thwart Fraud Using Graph & AI

  • Prop Graphs for Fraud
  • ML Algorithms for Fraud Avoidance
  • Rapid Prototyping for Fraud Apps
  • Neo4j & Expero Graph
2017-11-08
false
Online Seminar

DataStax Edition: Optimizing Logistics & Supply-Chain with Graph

  • Supply Chain with Datastax Enterprise
  • Graph 101
  • Link Prediction
  • Visualization Examples
2019-08-28
false
Demo

Visualize Supply Chain Planning

  • Batch Analytics
  • Real-time Visualizations
  • Supply Chain Planning Workflow
  • Resource Utilization and Manufacturing Assets
2019-08-28
false
Demo

Visualize Supply Chain Planning II

  • Time Series & Real-time Data
  • Risk Visibility
  • Operation Components
  • Executive Dashboard
2018-12-06
false
Demo

Linking Unstructured Data Using Machine Learning

  • Tensorflow
  • Document Management
  • Relationships
  • Graph
2020-02-19
false
Blog

Metaflow: Rapid Reaction

What Netflix’s newly open-sourced data science toolkit has to offer.
2019-12-04
true
Blog

Implementing Data Products

Data products are the deployed scalable, reproducible outcomes from a data science initiative. Realize ROI from data science and deliver value to end-users.
2019-07-23
false
Blog

The Three Paradigms of GraphML

The three types of graph machine learning (graphML) are smart data extraction, data structure analysis, and full graphML. This article explains all three.
2019-07-15
false
Blog

Automated Narrative Summary

A machine learning system tells heated stories about commercial real estate auctions it watches, encouraging customer reengagement and new customer acquisition.
2017-10-05
false
Blog

Web Design, Courtesy of AI

Can an AI learn to write better looking websites than a human? Frighteningly, yes.
2017-09-27
false
Blog

What Machine Learning Can Learn from Graph

Graphs are rich data structures that can be used to improve the accuracy and effectiveness of machine learning workflows.
2017-03-28
false
Blog

Machine Learning: A Brief Intro

What is machine learning for? How can I group my users into market segments? Machine learning can provide insight to help answer these types of questions.
2020-05-28
false
CASE Study

GroundMetrics

Is it possible to decrease the time required to image CO2 storage by a factor of a million?
2020-03-12
false
CASE Study

Predictive Analytics for Kinsa Health

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