September 29^th

Chair Opening Remarks

9:00am AET
Unpacking Data Wrapping: Data Informing The Customer Experience
Robert Welborn, Chief Data & Analytics Officer, General Motors

Investigating the 3 types of data monetization
Not differentiating in the start price but in the service price
Realizing zero privacy issues and far more inclusivity
Enriching the product through data
Increasing value while creating a premium experience
Incentivization of desired optimized behavior from enterprise and consumer

10:00am AET
Democratizing Data, Analytics and Insights For Your Internal Customers
Kate Carruthers, Chief Data & Analytics Officer, University of New South Wales

Having not a data lake but a curated data lake
- An enrollment use case
Sitting down with business leads to find what the business needs to move the enterprise forward
Building a semantic layer over data that translates into meaningful insights
Understanding and managing data as an asset
Realizing true business intelligence and insight throughout the entire organization through your efforts

9:00am SGT
Innovation Through Leveraging Data to Make Decisions
Uzair Rashid, Director Of Innovation, Blue Cross Blue Shield

Uzair Rashid is a vetted Strategy and Innovation Leader. In his current role as
Director of Innovation at Blue Cross Blue Shield of Massachusetts – Uzair is tasked with generating both incremental and around-the-bend innovations that align with business strategic imperatives to drive execution through innovation all with an aim to delight members and consumers. There’s a new intersection within business that meets at strategy, innovation, and technology. Uzair lives at that intersection.

Harnessing the change in velocity, veracity, variety and volume in data
Taking advantage of the elimination of a delta in time
Proactively and simultaneously activating iterative and long-term insights
Learning from real-time data to forecast the future of healthcare

10:00am SGT
The State of NLP: The Latest Breakthroughs And Their Implications For The Enterprise
Richard Biggs - Market Development Lead - APAC, Element AI
Hardeep Arora - Industry Principal - Banking, Element AI

With all of the hype around GPT-3 we break down some of the latest advancements in the field of NLP. We identify the potential opportunities and pit-falls for companies pursuing NLP solutions. And we showcase examples of how Element AI is addressing common business problems with state of the art NLP powered deployments. Walk away with:

A digestible understanding of the latest trends in the NLP field
Insights into how to approach AI deployments in the enterprise
Key use-cases & case studies of how NLP has been used by Element AI to solve business challenges

11:00am SGT
How Data Virtualization Puts Enterprise Machine Learning Programs into Production
Chris Day, Director, APAC Sales Engineering, Denodo

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.

Attend this session to learn how companies can use data virtualization to:

Create a logical architecture to make all enterprise data available for advanced analytics exercise
Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc.

12:00pm SGT
5 Questions On Reinventing Your Intelligent Automation Data Strategy
Sveta Freidman, Data Analytics & Science Director, carsales.com.au

Is everyone aware of the access that they have to the necessary data to them?
Who has a holistic view of your digital enterprise?
Who knows what data your digital workforce needs?
Who knows what the most valuable data is to your enterprise?
Who knows what data sets you don’t have that you need?
Blending intellectually property and intellectual acuity to scale your digital workforce

September 30^th

Chair Opening Remarks

9:00am AET
From RPA to AI: Utilizing Data In Achieving Hyperautomation
Brian Martin, Head of AI in R&D Information Research, Research Fellow, AbbVie

Providing hundreds of thousands of hours back to employees through RPA
Working with universities to inspire student to tackle issues in new and different ways
Harnessing the virtuous cycle of tools, talent & data
Building a platform from data to information to knowledge to insight
Providing insight for patients and healthcare providers to make better decisions

10:00am SGT
The Convergence of RPA and Automated Machine Learning
Greg van Rensburg, Director, Solutions Consulting, Automation Anywhere
Colin Priest, Vice President, AI Strategy, DataRobot

Robotic Process Automation (RPA) has disrupted repetitive business processes across a variety of industries. The combination of RPA, cognitive automation, and analytics is a game changer for unstructured data-processing and for gaining real-time insights. The next frontier? A truly complete, end-to-end process automation with AI-powered decision-making and predictive abilities. Join Automation Anywhere and DataRobot at this session to learn how organisations are using business logic and structured inputs, through a combination of RPA and Automated Machine Learning, to automate business processes, reduce customer churn and transform to digital operating models.

11:00am SGT
Agile Transformation
Charles Weiser, Head of CX Digital Consumer, CXO Chapter Area Lead Agile, Optus

Managing design, engineering, automation and analysis in a ‘phygital' environment
Delivering the traditional numbers through digital transformation
Being unambiguous about who’s doing what
Developing your craft and showing your homework
Engaging in culture change through a true focus on people

Richard Biggs

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