London, 20-22 Mar 2019


3 day Masterclass

Predictive Analytics with Real Time Data

DATA WRANGLING • ALERTING • CASE MANAGEMENT


book before 1st March and save £160

Predictive Analytics with the Jube platform

Jube is a platform for Augmented Predictive Analytics. The problem Jube sets out to address is that there is an ever-increasing amount of data in the organisation, oftentimes spread across an ever-increasing number of databases. The problem is that datasets are hard to use for a business user in the first instance and the data required is often stored amount them quite disparately.

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get practical

Implement analytical techniques in a corporate environment. Each case study is based on real world experience of the trainer and Jube.IO

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gain strategic advantage

Introduction with Numeric Prediction, Big Database Fundamentals, Machine Learning & Technical Analysis

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learn from the best

Instructions on how to implement & maintain this powerful platform from the developer.

LEARN HOW TO INSTALL AND MAINTAIN THE JUBE PLATFORM FOR BETTER ANALYTICS

The course will present a variety of use cases that showcase all functionality available in the platform. The use cases to be explored in the course are:

Fraud Prevention in eCommerce, Debit Card and Risk Based Authentication, Real Time Prescriptive Bidding in Advertising Technology, Stock Market \ Numeric Prediction, Instruction Detection via Packet Sniffing and Syslog Monitoring

Jube sets out to empower the business user.  The solution is that business users wrangle with data, automate machine learning and dictate precise outcomes (which can include taking immediate action, SMS \ Email Notifications or using Case Management embedded in Jube).

Jube takes domain expertise as the foundation for machine learning, where domain expertise is introduced collaboratively and without any code.  Jube is entirely in memory and NO IO and, despite being created by a point and click user interface, compiles rules and filters into memory to wrangle data accross thousands of rules in a fraction of a millisecond.  Predictive Analytics projects often fail when it comes to integration to the operation and speed of recall, Jube deals with these challenges from the outset taking an integration first approach.

 

book today saving £160

In just 3 days you will:

  • Learn how to apply the predictive analytics methodology in the real world.
  • Understand how to use some of the most powerful Predictive Analytics packages in common use.
  • Lean how to use your models in real-life, including manually running your models in batch or integrating with production systems.
  • Understand the infrastructure of the Jube platform
  • Experience a multitude of case studies, covering a wide range of Jube functionalities
  • Benefit from a highly consultative engagement. There will be plenty of time to discuss your specific projects and learning objective to provide immediate return to your organisation upon course completion.
  • Create numeric prediction models as well as more advanced classification models
  • You will understand machine learning algorithms, introduced from a theoretical and practical perspective

Meet your instructor

Richard Churchman teaching Predictive Analytics with Real Time Data for Terrapinn Training

Richard Churchman is Managing Partner at Jube.io where he is responsible for developing a proprietary predictive analytics platform that is used in a variety of industries. The platform is predominantly positioned in Funds (Banks, Hedge Funds, Sovereign Wealth Funds and Mutual Funds etc.) to help manage investment portfolios using a blend of Quantitative Methods (Regression and Neural Networks typically) and Qualitative Methods (Expert Judgement and increasingly Augmented Bayesian Networks).

Richard has over 16 years’ experience working with predictive analytics across a variety of industries and so can provide meaningful insight into the application of all techniques taught on the course in other problem industrial domains (e.g. Marketing Churn Models).

Organisations that will benefit:

  • All Forward Thinking Companies
  • Retailers
  • Ecommerce Platforms
  • Software Developers
  • Banks & Financial Services
  • Service providers
  • Business Intelligence Firms
  • Data Companies

Who will attend:

  • C-Suite Executives: CEOs, CFOs, CTOs, COOs, CIOs
  • Heads of Technology
  • Heads of Analytics
  • Heads of Enterprise
  • Marketing Managers
  • Risk Executives
  • Big Data
  • Data Warehousing
  • Business Analysts
  • Data Officers/Scientists/Engineers
  • Database Developers
  • Product Managers
  • Product Designers

book today for just £3,340 and save
£160 before 1st March

Course Agenda

Day 1: Architecture, Installation and Classification ⇓

  • The Predictive and Prescriptive Analytics Methodology. Platform Technical Architecture.
  • Case Study 1: Installing the Prerequisites and the Jube Platform.
  • Messaging and Integration Introduction.
  • Case Study 2: Messaging the Jube Platform.
  • Introduction to the Entity Model System.
  • Case Study 3: Financial Transaction Model, Payload Definition and Inline Scripting.
  • Entity Abstractions, Abstraction Calculations, Abstraction Deviations and Search Key Cache.
  • Case Study 4: Creating Fraud Prevention Abstractions.
  • Sampling Activations, Response Elevations, TTL Counters and Evaluations.
  • Case Study 5: TTL Counter Activation and Auto Tagging.

Day 2: Numeric Prediction, Machine Learning and More Classification. ⇓

  • The Symbol Registry, Symbol Models and Symbol Covariance.
  • Case Study 6: Consuming Stock Prices 1D.
  • Symbol Abstraction, Abstraction Deviation, Activation and Evaluation.
  • Case Study 7: Emulating Technical Analysis of a Chart.
  • Introduction to Adaptations.
  • Machine Learning. Regression and Neural Networks using Exhaustive.
  • Case Study 9: Training and recall of a Symbol Model Adaptation.
  • Syslog and PropSniff integration for network and host intrusion detection.
  • Case Study 10: Block IP on Failed Login, Abuse IP, Excessive Ping or SQL injection.

Day 3: Adjacent and Advance Functionality. ⇓

  • Case Management.
  • Case Study 11: Fraud Prevention Alerts.
  • Databases, Compression and Encryption Zones.
  • Multi Tenancy, Users, Roles and Permissions.
  • Telerik Reporting Designer.
  • Case Study 14: Fraud Prevention Authentication Types.
  • Entity Model Inheritance, Volume Monitoring and Background Limits.
  • Case Study 15: Create a Real Time Auction for Advertising Technology.
  • Getting Help from Jube, Backup and Recovery of Tenants.
  • vb.net platform augmentation.

For further information please call: +44 (0)207 092 1045

download full agenda

The earlier you book, the more you save…

Additionally, VAT may be applicable depending on course location.
Before 1 Mar 2019After 1 Mar 2019
£3,340
Save £160
£3,500

  • “I think is a fantastic course for anybody who is enthusiastic about big data”

    - Pricing Analyst,First National Bank

  • “The course content format the delivery methods examples were very engaging that I developed a special interest in Data secure again”

    - Director, MDSap Tech

  • “An awesome, hands on training that will teach you how to apply these concepts in real life”

    - Research analyst, Kauffman Foundation

IN-HOUSE

We can come to you too! If you have a team of six or more, why not hold a private course? Our experts come to you and the course is tailored to your requirements.

Call +44 (0)20 7092 1045 (United Kingdom)
or emma-jane.dinan@terrapinn.com (Asia Pacific)
for more details

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