29 - 30 September, 2020  |  Digital Conference

Featured Speakers

AI, RPA & Data Live
Realizing True Digital Transformation Through Hyperautomation

Hyperautomation is upon us. RPA lessons have been learned. Cognitive automation has been introduced. One-sided Artificial Intelligence is available. But the key for global corporate enterprise is to benefit from the collective intelligence presented by the analysis of RPA and cognitive technology output by human talent. The key tool to fashion that collective intelligence, is data. 

Harnessing RPA Data

Knowing that data is a tool puts you a few steps ahead when the conversation comes around to data being the new oil. Not only is data a tool, it’s also potentially of more value to your enterprise than present cash on hand. But data being the new oil isn’t accurate. There is a direct market for the simple substance of oil. There is no market for your messy data. 

You are simply nowhere in intelligent automation and you can go nowhere with artificial intelligence if you haven’t harnessed your data.

Dataset Strategy, Ready Set Vision

The AI & Intelligent Automation Network has reams and reams of content on your structured data and your unstructured data. A decent to good intelligent automation roadmap will plot each data set as well as the means with which to address each data set. A good to above average Chief Data Officer will expound upon the importance of enterprise data and share an inspiring data strategy.

But your enterprise must have an automation data vision to win today, outpace the competition tomorrow and deliver for customers in the future.

Join the AI & Intelligent Automation Network for AI, RPA & Data Live Sept. 29-30 right here on AIIA.net

Key Topics

  • Lessons Learned From RPA For Hyperautomation
  • Actually Achieving A Data-Driven Business
  • Orchestrating True Enterprise Business Intelligence
  • Data Insights From Predictive, Prescriptive Predictive Analytics
  • Data Enrichment For The Soul Of Your Enterprise
  • Attaining Checks & Balances Data Governance
  • Expediting Drucker-Inspired Data Management
  • Diving in on Data Mining
  • Capturing Data Virtualization
  • Focusing In On Data Visualization
  • Optimizing Your Enterprise Data Platform
  • Divining Enterprise Information Management
  • Strategic & Operational Database Management
  • Masterminding Main Data

Who should attend?

RPA & Data Live is designed for Chiefs / Heads / Directors / General Managers / VPs of

Robotic Process Automation

Finance

Data & Analytics

Business Transformation

Technology

Digital Transformation

September 29th

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 30th 
 
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

Register today to secure your place and we will email the online event details through to you.

You can submit questions live to our industry experts or submit them directly to us using the contact details in the confirmation email. 

How do I join the online conference?

Register above using the form and your login will be emailed to you a week before the event. Your session access links and final agenda will be emailed to you one week prior to the conference.  

How much does it cost to attend?

The online event is completely free to attend.

Where is it located?

This is an online conference, which means that it can be accessed anywhere in the world through a desktop, laptop, mobile device or tablet.  Audio and presentation viewing is accessed through an internet connection.

Can I access the slides post-event?

All presentations will be available after the conference via the on-demand recording link.   When presenters have also approved for their slides to be available for download they will be made available in the Resource List folder inside the session and also in the digital gift bag post-event.