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Data and AI
Virtual Forum
Australia and New Zealand

In partnership with white IBM 800x480

Thursday, 23 July 2020

10:30am - 2:30pm AEST | 12:30pm - 4:30pm NZST

 
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Watch live sessions, engage with experts and get real time guidance via desktop, tablet & mobile

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We’re thrilled to invite you to the Data and AI Virtual Forum Australia and New Zealand, brought to you by IBM and Corinium.


AI is the defining transformation technology of our time, yet adoption remains relatively low. Why? While business leaders may know that a modern infrastructure is fundamental to AI adoption, many don’t quite understand the data or technologies required to fully unleash its potential.

Whether you’re an executive, business user, data scientist, or IT practitioner, this free virtual experience promises insightful discussions with industry pioneers and technical sessions that’ll leave you ready to embrace the possibilities of AI.

No matter where you are in your AI journey, join us at the Data and AI Virtual Forum and learn the steps necessary to successfully scale AI throughout your organisation. We’ll take you through real-world examples, explore AI drivers, investigate IBM’s modernised platform offerings, as well as unpack some of the challenges organisations are currently facing in their adoption of AI.

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Speaker Lineup

Rob Thomas

Senior Vice President, IBM Cloud and Data Platform,

IBM

Zhi-Ying Barry

Senior Analyst,

Forrester

Lisa Bouari

Director,

OutThought | AI Assistants

Paul Smith

Technology Editor,

The Australian Financial Review

Paul van der Linden

Director,

OutThought | AI Assistants

Karen Hardie

Senior Technical Sales Consultant,

IBM

Keith Doan

Enterprise Analytics Architect,

IBM

Nicholas Renotte

Data Science and AI Specialist,

IBM

Trevor Noseda

Team Leader, Hybrid Data Management Technical Sales,

IBM

Hui Sim Ng

Information Architecture Technical Sales Specialist,

IBM

Isaac Tranis

Information Architecture Technical Development Manager,

IBM

Gloria Yi

Data and AI Technical Development Manager,

IBM

Damon Wynne

Client Technical Manager, IBM Storage,

IBM

Sagar Kulkarni

Data and AI Champion,

IBM

Hans Siebrand

Hybrid Data Management Technical Sales Specialist,

IBM

Felix Yong

DataOps Specialist,

IBM

Paul Griffin

Client Technical Professional, IBM Security,

IBM

Stuart Maclean

Technical Sales, Watson,

IBM

Peter Elford

Unstructured Data and AI Technical Specialist,

IBM

Stephen Fox

Governance Risk and Compliance Lead, Asia Pacific,

IBM

Kevin Jessop

Lead Solutions Specialist, Performance Management Analytics Solutions,

IBM

Angus Stewart

Financial Crime Management Lead, Asia Pacific,

IBM

Tim Brown

Data and AI Solution Engineer,

IBM

Ian Godsell

Data and AI Analytics Architect,

IBM

Andrew Assauw

Distinguished IT Specialist, IBM Cloud and Cognitive Software,

IBM

Andrea C. Crawford

IBM Distinguished Engineer, DevOps Garage Solution Engineering,

IBM

Ross Davis

Asia Pacific Architect,

IBM

Ben Swinney

AI Platform Specialist,

IBM

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Agenda

The event has been tailor-made to unpack some of the most common challenges faced by businesses seeking to unlock the value of data and put AI to work. Hear from IBM’s Senior Vice President, Cloud and Data Platform, Rob Thomas – who will discuss how AI will change the way you work, Forrester Analyst, Zhi-Ying Barry who will share market trends and insight on the rise of platform business models and Lisa Bouari, Director, OutThought, who was recently named a 2020 Global Leader in AI.


The event is designed to be interactive with live Q&A and the option to book 1:1 meetings or chat directly with IBM experts and partners.

Choose your track:

Experience five deep-dive breakout technical sessions on the key phases of the AI implementation journey:

Data and AI Virtual Forum Agenda PDF updated

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Data is often siloed by rigid architectures that separate information according to functional area and data type. This often results in splintered views and difficulty accessing data, ultimately limiting the value of analytics. In this track you’ll learn how to collect data of every type, regardless of where it lives in your organisation, to help enable flexibility in the face of ever-changing data sources. With new high-performance data virtualisation technology, you can now access data across multiple types, sources and locations within a single view. This real-time virtualised data helps simplify how you fuel your AI initiatives without moving data, dealing with the complexity of data duplication, the cost of additional storage or extract, transform, load (ETL).

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DataOps (data operations) is the orchestration of people, processes, and technology to rapidly deliver trusted, business-ready data to data citizens, operations, applications and artificial intelligence (AI). Discover how you can organise all your data into a business-ready foundation with built-in governance and protection. By automating data cataloguing, preparation and quality controls, you can deliver a self-service data pipeline designed to improve data scientist productivity. This automation also helps ensure the data that fuels your AI is secured.

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Analyse your data in smarter ways and empower your team to gain new insights and make more informed decisions. With AutoAI technology, you can automate the majority of the AI lifecycle, from data preparation to model creation, through to optimising operational explainability, bias mitigation and accuracy. Discover how you can simplify the AI lifecycle of preparing data and building, deploying and managing your models.

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While rethinking your business practices and workflows, consider applying prebuilt enterprise AI applications that speed up time to value across key domains, such as customer service, financial planning, risk management and IT operations. Discover how you can infuse AI into your workflows to predict and shape future outcomes, automate complex processes, and optimise your employees’ time.

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Modernise and simplify how you collect, organise and analyse your data within a multi-cloud platform - while unifying your AI models with the data they need. The combination of IBM’s proven framework, open platform and deep industry expertise can help you build a successful AI strategy, optimise talent and deploy AI capabilities at scale to help achieve the innovation, speed and agility your business needs.

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What to expect at the Data and AI Virtual Forum

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Exclusive Networking

Chat live with speakers and fellow attendees

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20+ Expert Sessions

Learn from visionary leaders and technical experts

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Access from Anywhere

Available on any device - live 

 

 

     
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  • Benchmark where you are on your AI journey and learn the steps to scale AI throughout your organisation.
  • Gain new insights from global perspectives and assess real AI success stories.
  • Explore ‘deep-dive’ technical sessions and demos.
 
  • Ask your questions directly to the experts in our dedicated chat rooms and 1:1 meetings.
  • Engage live with the IBM partner ecosystem through the virtual exhibition hall.
  • Do all this from wherever you are free of charge.
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Who Should Attend

CDAOs-1 Heads data and analytics-1

1 LOB

4 CXO
2 DA S 5 DA 7 tech Practitioners new

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