Data and Analytics Leaders Conference
Beyond analytics – examining AI, Augmented Intelligence and data leadership within NZ organisations
- Scalability, platforms and the business case for data – why organisations now need Chief Data Officers
- Setting the tone for organisation wide analytics capabilities
- From the top down – how a strong data and analytic capability enables growth and innovation across the business
No other technology trend has caused a wave quite like the rise of Artificial Intelligence, Machine Learning and Augmented Intelligence. This panel will examine the rise of these technologies and the role they can play in augmenting your IT strategy.
- Case studies from implementation – small- and large-scale implementation and areas for rapid improvement within existing IT strategies
- Beyond chat bots – how you can augment your customer facing processes through smart AI deployment
- Why data is still king – fine tuning your data practices to enable practical AI applications across your business functions
- Examining governance models for ethical and compliant data use
- What is hindering effective data commercialisation within NZ’s business environment?
- Legal frameworks and risk analysis for data commercialisation models
The rapid growth of data analytics, machine learning and IoT have enabled organisations to use these data sets to allow comprehensive modelling.
- Utilising digital twins to optimise performance and time to market
- Examining the digital twin simulation advantage – how we can use advanced analytic capabilities for accurate predictive intelligence
- Using digital twins to contextualise data and to gain deeper understanding into the operating environment
- Looking outside of the analytics teams – bringing literacy across the organisation to maximise data outcomes
- Why dashboards are just the beginning – encouraging and supporting staff to use data outputs to improve their roles, productivities and outputs
- Retaining, hiring and training staff to fulfil skills gaps and requirements around data and analytics
- Adjusting analytic programmes for Agile environments – ensuring data products aren’t obsolete before they are complete
- What analytics capacity is needed? Bringing data science within Agile teams
- What analytic tools can bring your data
- What does ethical AI and data use look like?
- Examining the underpinning ethical values that guide AI deployment and development
- Transparency, trust and privacy – frameworks for data protection and ethical use of AI
As malware, ransomware, and other cyber threats increase significantly, organisations are needing to have a stringent plan in place to support the security of data. This session will examine case studies of when data security has failed, the outcomes and the lessons we can learn.
- Reengineering data use to form a customer centric approach
- Identifying the line between customer safety, regulation and privacy
- How we can continue to adapt and evolve our data use policies to enable a greater customer centric approach