
CDO ANZ Hybrid Series - August Edition 2021
Creating A Data And Analytics Rich Culture To Support Critical Thinking And Creativity
Hosted by Factor
- 500 attendees
- 9761 hours
Overview
The uncertainty ushered in by 2020 will stay with us for multiple years to come. But with disruption comes enormous opportunity to not just restart what we used to do, but forge new paths. Data and analytics leaders that thrive will design and execute on a strategy that accelerates change, builds resilience and optimise business impact.
What to expect
- Virtual Attendees 200+
- Partners
- Speakers 10+
What we will cover
- Leverage key data and analytics trends to drive business outcomes.
- Advanced Data and Analytics: What Do Leading Organisations Do?
- Align data and analytics with business outcomes and digital acceleration
- Top Trends in Data and Analytics, 2021
Agenda
- Scaling Responsible AI(Plenary) In this session, Vicent will present how organizations can align their AI intentions and impacts. Going from producing one machine learning model a year to thousands is well within the average company’s reach, and operationalization has made it possible for a single model to impact millions of decisions (as well as people). On the surface, there of course aren’t any businesses that plan to do irresponsible AI; but on the other hand, they aren’t doing anything to explicitly ensure they are responsible, either — and therein lies the problem.
- How to Stop Thinking About Building Data Assets and Start Using Them(Plenary) Using data and analytics strategically is crucial to an organisation’s competitiveness and survival. Yet leaders face pressure to prioritise, measure and communicate the value of these initiatives and align them to business priorities. This session will explore why we're gathering data at unprecedented speeds but not attaining its full benefit, attend this opening session with Chief Data Officer and thought leader Kshira Saagar, Awarded the #2 Analytics Leader in Australia in 2019, and top 25 Analytics Leaders in '20 & '21 to explore: Building data assets to using data assets Understand the full potential from our data assets How do we change the conversation across the business?
- Three Reasons You Won't Have This Job Next Year(Plenary) The role of Chief Data Officer is relatively new, and often poorly defined. However, there are already several key predictors of success - or failure - for CDOs and other data leaders trying to build a data-driven culture inside their organisation. In this talk, we'll discuss three reasons that CDOs fail, how to identify them, and what to do about them, so you still have this job next year.
- Getting Comfortable with the Uncomfortable – How we Need to Think Differently About the Future of Work(Plenary) In a post-pandemic world leaders are increasingly concerned by the high turnover of their people. What can organisations be doing to maximise their employee experience and drive the careers of their people. Join EY's Global People Strategy Lead Liz Heathwood as we explore how to evolve our thinking as data & analytics leaders during times of uncertainty.
- The Era of Connected Intelligence(Plenary) Early graph innovators have already pioneered the most popular use cases – fraud detection, personalization, customer 360, knowledge graphs, network management, and more. Building upon their efforts, the next generation of graph thinkers are engineering the future of artificial intelligence and machine learning. Neo4j Graph Data Platform provides the latest in Connected Data capabilities, scaling to 1.2 trillion relationships with lightning fast processing speeds to enable your enterprise to cater for the needs and demands of today's digitally transformed world.
- Data and Analytics Architecture: The Foundation of Your Digital Acceleration(Plenary) In 2017 a study by Gartner found that only 15% of AI projects were successful.In 2019, a full two year later, this success rate had gone up by only 5%. In the same time the overall data and analytics spend of businesses had multiplied many times over. This leads us into asking what is a data and analytics architecture? How can we get better as data & analytics leaders? Join us to explore if there is a simpler more effective way forward.
- How to Optimise Data and Analytics Value: The New Strategic Imperative(Plenary) Panel session: How to Optimise Data and Analytics Value: The New Strategic Imperative. Data and analytics is a strategic business function that fuels digital acceleration. Yet, most organisations don’t have a systematic way to assess, optimise and articulate data and analytics value. Our panel will explore how we can drive our strategic organisational needs to create successful engagement across all units.
Speakers
Zak Khan · Senior Manager - Enterprise Business Analytics, AEMO Zak Khan is an accomplished data analytics strategist and thought leader with deep industry experiences. He has held diverse leadership roles across many facets of Information Management domain including data strategy formulation, building data quality and governance capabilities and operations management in Data warehousing, business intelligence & advanced analytics. Zak has global consulting experiences and assisted clients across Telecommunications, Utilities and Financial services sectors to uplift data analytics capabilities in order to solve complex business problems and deliver business outcome.
Gareth Lewis · Content Creator, Factor Creatively driven, strategic thinker, with a passion for story-telling & story-doing. Working to helping business leaders connect through meaningful and engaging experiences.
Kshira Saagar · Chief Data Officer, Latitude Financial Services Awarded the #2 Analytics Leader in Australia for 2019, and Top 25 Analytics Leaders in 2019, '20 & '21. Kshira Saagar (Shee-Raa Sa-Ga) has been with the Analytics/Decision Sciences industry for more than a decade now having worked across Americas, Asia, Europe and more importantly Australia. The bulk of his work has been focussed on developing solutions for the Data Science and Analytics problem spaces of the Retail, Telecom and Insurance marketing departments at some of the leading Fortune 100 clients. In his other roles, he has enabled decision making through data for clients from the Media, Healthcare, Aviation, Logistics and FMCG organisations. As Latitude's first Chief Data Officer, his role involves leading a large team of Data Scientists, Data and Digital analysts, Data Architects, Data Engineers, Machine Learning Engineers, Data warehouse Developers, BI Developers and Data Governance & Risk Remediation experts, along with designing the strategy for Data Enablement @ Latitude by securing the necessary enterprise support and executive sponsorship to drive Data Transformation. Previously at THE ICONIC, he was responsible for institutionalising data-driven analytics across the company’s core competencies and growing a 2 member data-analyst team to a 20+ strong Full Stack data science team entirely based out of their Sydney offices. The wider team was responsible for all the elements of data at the company ranging from Data Engineering (ETL), Dashboards and Analyses and more importantly production-ready algorithms - also known as the Full Stack Data Science team. Kshira is adept at working with senior executive stakeholders and the board members to solve key strategic company problems using Data Science and AI paradigms, in a business-friendly language that senior decision makers have time to appreciate and act upon. He also uses these skills to help smaller AI start-ups and ventures to raise funds on a pro-bono basis, and get into initial seed rounds and build their initial teams around the modern day data principle. As a leader in the data space, he believes in the modern day data principle that every singe member of an organisation is a data analyst or scientist and the whole company should have the right tools and the correct access to act as one big data team!
Liz Heathwood · Global People Strategy Lead, Strategy & Transactions, EY Liz is an expert in Talent Strategy, Talent Development, Transformation and Change as well as Talent Communications. Liz leads and works with teams globally and is known for her creative thinking style and ability to bring out of the box thinking to the talent projects she leads. Liz regularly speaks at events both internal and external about the Future of Work and strategy writing, her work also talks to the communication and engagement required to engage a global audience in the strategic talent agenda.
Nic Crouch · Account Executive, Snowflake
Peter Philipp · General Manager, ANZ, Neo4j Peter brings more than 20 years' of technology and leadership experience, working with business and technology leaders on data-driven projects, from government agencies in Europe and Asia-Pacific, to several of the world's top 10 financial institutions. Prior to joining Neo4j, Peter held regional leadership positions with SAP, HP Autonomy and most recently as GM of Europe for Attivio, a Gartner Magic Quadrant leader for Insight Engines.
Mark Reidy · Digital Marketing Manager, Ramsay Health Care Marketing professional with 5+ years of experience developing and executing marketing strategies for online digital companies specialising in e-commerce. Experience with: B2B; B2C; Australian, UK & US markets, public & not for profit sectors. Adaptable to waterfall and agile environments & a certified scrummaster. Studying towards an MBA from AGSM.
Vicent Osabel · Senior Solutions Engineer, Dataiku Vicent Osabel is a senior solutions engineer from Dataiku based in Melbourne. She has 20+ years experience in Data and Analytics by supporting large organisations realise their data science vision and roadmap through defining AI solution roadmaps, implementing data science projects and conducting training and enablement for customers and prospects. Having worked predominantly in the Financial Services sector both in A/NZ and SE Asia, she has accumulated expertise in the areas of regulatory compliance, credit risk management and customer analytics during her careers at SAS (PH and AU), Businessminds (now merged with Bain & co) and Deloitte Australia. She is also an advocate of women pursuing careers in Data Science and has been a trainer and judge for a datathon sponsored by TechWomenNZ late last year."
Partners
Dataiku Dataiku is the centralized data platform that moves businesses along their data journey from analytics at scale to enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies. Customers like Unilever, GE, and Comcast use Dataiku to ensure they are moving quickly and growing exponentially along with the amount of data they’re collecting. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.
Neo4j Neo4j is the leading graph database platform that drives innovation and competitive advantage at Airbus, Comcast, eBay, NASA, UBS, Walmart and more. Thousands of community deployments and more than 300 customers harness connected data with Neo4j to reveal how people, processes, locations and systems are interrelated. Using this relationships-first approach, applications built using Neo4j tackle connected data challenges including artificial intelligence, fraud detection, real-time recommendations and master data. Find out more at Neo4j.com.- Snowflake Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.
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