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February 15-17, 2022

Analytics Day
Spatial Day
Machine Learning Day

Join us for three days of the best analytics and data presentations on the web.

Feb 15-17, 2022

Join us for three days of dynamic demo presentations. Level up your knowledge. Watch the leaders in analytics and data work their magic on Analytics, Machine Learning, and Graph. Ask questions, get real answers, and watch the solutions, all from the comfort of your desk. We’re doing demos! Attend one session or all three days, we look forward to seeing you.

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Winter TechCast Days

If you wish to attend multiple days, you must register for each day separately.

February 15th
Analytics Day

HOSTS
Dan Vlamis & Edelweiss Kammermann

*Session start times are subject to change.

11am ET
Coming soon

February 16th
Spatial Day

HOSTS
Wayne van Sluys and Hans Viehmann

*Session start times are subject to change.

11am ET
Coming soon

February 17th
Machine Learning Day

HOSTS
Abi Giles-Haigh, Roger Cressey

*Session start times are subject to change.

11am ET
Coming soon

Analytics Abstracts

Steve Eliopoulos, Rosendin Electric
Dan Vlamis

The implementation of Oracle Analytics Cloud (OAC) at Rosendin Electric did not get off to an auspicious start. They had recently begun migrating from Oracle Business Intelligence (OBIEE) 11.1.1.7 to OAC and had high expectations for their new system but were finding it difficult to get timely, quality results from it. Come to this presentation to hear how with Vlamis’s help, Rosendin identified root problems with the way OAC was being implemented, capitalized on OAC’s Data Visualization interface, and demonstrated the value of OAC. You will see examples of how Rosendin is using OAC to transform itself into a truly data-driven business. This involved using Oracle Data Integrator (ODI), to transform data into a newly-deployed Autonomous Data Warehouse (ADW), and visualized using Oracle Analytics Cloud (OAC).

Philippe Lions

Philippe, Senior Director of Product Management for Oracle Analytics (OA), will share some of the recent advancements across the various aspects of OA and amongst other things unbox some of the augmented features that have been recently delivered. Philippe will deep-dive on a few new aspects of OA that lead it to be seen by the Forrester Wave as a leader in its most recent analysis of the analytics marketplace. Join him to see OA in action delivering fast powerful insights, hear about the roadmap ahead and why the future continues to be bright.

Roger Cressey

American Eagle Outfitters were mired down in a web of Excel spreadsheets being used to perform all the FInance function operations. Qubix collaborated with AEO to implement an automated, centralized Oracle staging area and a single Essbase reporting cube with all of the commensurate dimensionality and functionality to comprehensively facilitate all executive and operational financial reporting.

Spatial Abstracts

Derek Hayden and Chris Sciullo, OUTFRONT Media
Tim Vlamis

OUTFRONT leverages the power of technology, location, and creativity (TLC) to connect brands with consumers outside of their homes. With thousands of out-of-home advertising locations across the United States, OUTFRONT Media needs to understand and analyze their productivity and potential through extensive map-based views and spatial analytics. You’ll see how Oracle Autonomous Data Warehouse and Spatial Studio were combined with Oracle Analytics Cloud to present a highly evolved custom map-based analytics interface for OUTFRONT’s Real Estate team.

Mark Daynes, Beyond Systems

If you have ever thought “which of my customers are within five miles of my store?” then you’re thinking spatially. Perhaps you’d like to highlight these customers on a map and be able to see who is spending in a specific time period? Oracle’s Spatial Studio makes spatial analysis and visualization more accessible to analysts who do not need specific spatial syntax knowledge. In this presentation, we will load, geocode, analyze and visualize data to demonstrate many examples of the capabilities of Spatial Studio including cluster maps and data changing over time, and other features in the Spatial Studio 21.3 release. We will then perform various analysis of this data including selecting customers in a specific region and customers closest to a specific store. We will go further and show how the results of our analysis can be leveraged by other tools, including Oracle Analytics and APEX. The aim of this presentation is not just to give you an overview of some of the capabilities of Spatial Studio, but also the confidence to explore and get value from your data in ways you may not have previously considered.

David Lapp, Oracle

Oracle Application Express (APEX) is a popular rapid web and mobile application development framework, included with Oracle Database. APEX 21.2 introduces native support for Oracle Spatial with several new features. This includes a new native Region type for maps that can source from Spatial, and new Item types for geocoding and mapping an address or coordinate. When paired with the longstanding ability of APEX to leverage Spatial operations with standard SQL and PL/SQL, these new features allow APEX developers to more easily create robust location-based applications. In this session these new features will be explained and demonstrated.

Daniel Geringer, Oracle

Some call it low-hanging fruit. This session will cover key best practices, tips and tricks that can effectively realize over 100x performance gains when using the powerful features of Oracle Spatial. Topics covered include a new CBTREE spatial index optimized to handle streaming point data from IOT devices and other sources, leveraging parallel query to maximize throughput of massive spatial computations,
new techniques to optimize spatial data storage that greatly improve spatial query performance, tips to maximize nearest neighbor performance, important considerations when partitioning spatial data, and lessons learned in real customer use cases that apply to many.

Machine Learning Abstracts

Ambili T

Machine Learning scares you? Are you naive when it comes to making predictions using ML models? Oracle Analytics with its robust ML capabilities is here for your rescue. Multiple case studies covering the end-to-end journey will teach you to do this the Oracle Analytics Cloud way – with ‘No Code’! Without the need to write a single line of code, do you know want to harness the power of Machine Learning, through Oracle Analytics Cloud? Well, this is the session wherein you will experience the end-to-end development journey of the same. Let us build a machine learning workflow and witness the ease with which OAC enables you to do – loading, cleansing, data transformation, machine learning model creation and eventually the model evaluation. This session is intended to inspire and empower you with the ML capabilities of OAC which helps even a beginner to sail through with ease!

Mark Hornick

Oracle Machine Learning (OML) enables data exploration and preparation, and model building, evaluation, and deployment at scale. For Oracle Autonomous Database in early 2021, OML expanded to include an integrated Python API (OML4Py), REST services for model management and deployment (OML Services), and a no-code user interface supporting automated machine learning (OML AutoML UI). Since then, we’ve introduced multiple enhancements and new features to the OML product suite. Join us for this session to learn about the new Oracle Machine Learning capabilities along with demonstrations. 

Žiga Vaupot

Traditionally, the use of machine learning is in the domain of the data scientist. The latter has in-depth knowledge of machine learning methods and algorithms and strives for the most optimal preparation of machine learning models, which are then used for various analyses such as predictions, customer segmentation, anomaly detection, finding patterns and the like. Because the machine learning process usually takes a long time, even a few weeks, the data scientist is a rather “rare species”. Business users usually need results quickly and often don’t have time to wait their turn. They are faced with the dilemma to choose between lower accuracy over the speed of development of machine learning models.

There is no doubt that there are business problems which require machine learning models that provide accuracy as high as possible, but on the other hand there are situations where speed of finding an advanced analytics solution is even more important and when “good enough” model is acceptable to the business.

Regardless of the dilemma described above, one thing is in common to both approaches. It is the machine learning process which must be implemented in any case. It is now commonly expected that this is supported by any analytics tool. Oracle Analytics certainly fulfills this requirement.

The workshop Business Users and Machine Learning in Oracle Analytics will look at not only a few examples where a business user can use machine learning algorithms, but also what options are available for the whole machine learning process and how they can use them independently, without the involvement of data scientists and/or other IT professionals. Of course, we will also look at scenarios when data scientists are available and how the results of their work can also be used in business analysis.

Register Early for Fall 2021 TechCast Days

Oct 12th–14th

Oct 12th – Analytics+ Day

Oct 13th – Graph Day

Oct 14th – ML Day

Past TechCast Days