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PASS Marathon: Analytics

Session Date/Time (dd-MM-YYYY 24h)	Speaker	Category	Track	Title
22-08-2019 15:00	David Alzamendi	Breakout Session (60 minutes)	Advanced Analytics	Empower your business decisions with Vision Azure Cognitive Services
22-08-2019 16:00	Jen Underwood	Breakout Session (60 minutes)	Advanced Analytics	Visualization Best Practices for Explainable AI
22-08-2019 17:00	Hasham Niaz	Breakout Session (60 minutes)	Advanced Analytics	Power BI From 0 to Hero
22-08-2019 18:00	Shabnam Watson	Breakout Session (60 minutes)	Advanced Analytics	Aggregations in Power BI
22-08-2019 19:00	Diego Oppenheimer, Cormac Foster	Breakout Session (60 minutes)	Advanced Analytics	The New ML Lifecycle: Deploying and Managing Machine Learning Models at Scale
22-08-2019 20:00	Gabriel Villa	Breakout Session (60 minutes)	Advanced Analytics	Analytics on AWS
22-08-2019 21:00	Anil Maharjan	Breakout Session (60 minutes)	Advanced Analytics	Power Query and Power BI to tell your story from your Facebook Data
22-08-2019 22:00	Dinesh Priyankara	Breakout Session (60 minutes)	Advanced Analytics	Stepping into Data Science: Predictive Analytics

SessionID: 96776

Empower your business decisions with Vision Azure Cognitive Services

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Event Date: 22-08-2019 15:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics

Speaker(s): David Alzamendi

Title: Empower your business decisions with Vision Azure Cognitive Services

Description:

Do you want to learn more about the Azure Cognitive Services offering? Would you like to learn about the latest features in the Vision Category?

If so, this is the perfect session for you as it will answer these questions and more. Using Azure Cognitive Services, you will learn how to empower your business with AIaaS (Artificial Intelligence as a Service) models that are ready for consumption. The session explores the options available in the Vision category, including services such as Face API, Computer Vision or Form Recogniser. This session is completely up-to-date.

SessionID: 96766

Visualization Best Practices for Explainable AI

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Event Date: 22-08-2019 16:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics

Speaker(s): Jen Underwood

Title: Visualization Best Practices for Explainable AI

Description:

How do you know if a machine learning model is trustworthy or potentially biased? One the top trends in analytics is the rise of explainable AI, the practice of presenting transparent views into how algorithms make decisions. In this session, we will dive deeper into understanding and explaining machine learning terms and charts to the business using Jupyter Notebooks, Python and Power BI. We will walk-through real-world examples from healthcare, retail, marketing, banking, and other industries.

SessionID: 96550

Power BI From 0 to Hero

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Event Date: 22-08-2019 17:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics

Speaker(s): Hasham Niaz

Title: Power BI From 0 to Hero

Description:

This session will use Sales data as sample data-set & will cover following;

Data Source Parametrization Data Loading Data Modelling Designing Reports Report Bookmarks Themes & Visuals Publishing & Sharing Utilizing New App experience

SessionID: 96767

Aggregations in Power BI

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Event Date: 22-08-2019 18:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics

Speaker(s): Shabnam Watson

Title: Aggregations in Power BI

Description:

Aggregations are now generally available in Power BI and are one of the most important optimization methods for managing large datasets. Combined with Direct Query storage mode, they allow big datasets to be analyzed efficiently by answering high level analytical queries quickly from memory while sending more detailed queries back to the source database.

In this session, you will learn about aggregations, different table storage modes, how to set up aggregation tables and configure them to improve query performance.

SessionID: 96777

The New ML Lifecycle: Deploying and Managing Machine Learning Models at Scale

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Event Date: 22-08-2019 19:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics

Speaker(s): Diego Oppenheimer, Cormac Foster

Title: The New ML Lifecycle: Deploying and Managing Machine Learning Models at Scale

Description:

Over decades, app developers have refined a Software Development Life Cycle (SDLC) with established roles, responsibilities and tools. Unfortunately, the traditional SDLC doesn’t map well to Machine Learning (ML), leaving Data Science teams to sort out manual solutions. The Result? Data Scientists spend the majority of their time doing everything except data science, and many ML projects never get off the ground.

This Webinar will help you understand how can we adapt our infrastructure, operations, staffing, and training to meet the challenges of a newSDLC for ML–without throwing away everything that already works.

Topics will include:

• How model and application development are different • Where the traditional SDLC breaks down for ML • How leading companies have automated model deployment and management • How to integrate with existing life cycle management tools • How to deploy, serve, and govern ML models at scale

SessionID: 96778

Analytics on AWS

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Event Date: 22-08-2019 20:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics

Speaker(s): Gabriel Villa

Title: Analytics on AWS

Description:

If you heard of some of the data analytics products on AWS but unsure where to start, this session may help. Amazon Web Services offers analytics tools to enable data ingestion, storage, analysis, and visualization. From this session, take home an introduction to services such as AWS Data Migration Services, S3, Amazon Athena and take an introductory look into Amazon QuickSight, visualization on AWS. Learn how to leverage Amazon’s cloud infrastructure, platform and software as a service to build an analytics and insights solution on the cloud.

SessionID: 96779

Power Query and Power BI to tell your story from your Facebook Data

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Event Date: 22-08-2019 21:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics

Speaker(s): Anil Maharjan

Title: Power Query and Power BI to tell your story from your Facebook Data

Description:

This session is mainly for the one who is trying to extract the story behind their Facebook data by using Power Query. By using Power Query along with Power BI you can extract your Facebook data easily and analyze your own story by using your Facebook data. Power Query can connect data across a wide variety of sources. Facebook is just one of the data sources. In this session, you will drill the story related to Facebook Feed Trend Analysis and Facebook Photos by Location Tracking. This session helps you to learn about Power Query and Power BI and shows you how to use self-service BI based on your Facebook data.

SessionID: 96780

Stepping into Data Science: Predictive Analytics

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Event Date: 22-08-2019 22:00 - Category: Breakout Session (60 minutes) - Track: Advanced Analytics

Speaker(s): Dinesh Priyankara

Title: Stepping into Data Science: Predictive Analytics

Description:

Predictive Analytics is no longer an occasional implementation, it has become a must-to-have feature for any industry. However, the way of getting data prepared for experiments and make necessary adjustments in data science angle is still unknown to many and not practicing well. Let’s discuss the process, few areas related to data engineering, how to create a training experiment and convert it into a predictive experiment using Python and Jupiter notebook.

Key Learning • What is Data Science and its processes? • Feature engineering and preparing data for an experiment • Make a training experiment and predictive experiment using Python