Wednesday 29th November 2017
Keynote Presentation: Time to Terminate BAU! Enhancing the Customer Journey via the Rise of Machine Learning and Advanced Analytics
Identifying where machine learning and artificial intelligence will add business value. Leveraging data to inform the customer experience. Discussing ways to operationalise the results from advanced analytics and models and put them in to action? How to we integrate our connected ecosystem of suppliers, customers, and stakeholders and realise the vision of the “digital value… Read more.Speaking
Keynote Panel Discussion: Meaningful Data Consumption – How to Ingest Insight into the Value Chain and Advance Data to Derive Measurable Impact
From idea to value – How to make data actionable? Identifying the main challenges of a data project and why value is first. Evaluate the (data) innovators dilemma: pull vs push? Technology driven vs business driven? Designing and adopting with ‘fast-fail’ to move forward and monetise data assets.Speaking
Keynote Presentation: Building a High Performance Advanced Analytics Team in Resource Constrained Markets
Sharing Vodafone New Zealand’s journey to build a high performing Data Science team in a market that does not offer many candidates. Exploring the technology ecosystem. Defining data science as a team sport that enables graduates to join and be instantly valuable within a team. Highlighting the solutions that Vodafone’s analytics team has delivered, and… Read more.Speaking
Day 2 Track A – DATA CAPABILITY
How to make sure your analytics outputs are actionable? What does good and not so good look like? Let’s discuss some of your stories.
Featuring an incredible panel of accomplished women well versed in using data to advance industry, serve communities and derive valuable insights. Issues to be addressed: What challenges do you feel exist, and what do you believe we can do to overcome these and establish women and other minorities within senior data and technology roles? How… Read more.
Day 2 Track B – DATA INNOVATION
In this session, Vikash will showcase how Wine-Searcher created a production line of cutting-edge AI applications – text mining, machine learning and image processing to maintain their pole position in the price and location of all wine in the world.. Wine-Searchers \’s increasing suite of AI applications includes a chat bot, Casey – your wine… Read more.
Presentation – Advanced Analytics to Optimise Infrastructure Networks and Minimise Forward Capital Liability in Auckland’s Growth Boom
This session will showcase infrastructure analytics which is underpinning Auckland’s growth. Providing some animations and real-life examples of how this is affecting infrastructure decisions that inform social and affordable housing solutions and the city we all aspire to live, work and play in!
Keynote Presentation: An End to Silos! Building Internal Bridges to Make Data and Analytics Pervasive
Defining the reality of becoming a data driven organisation. Harmonising all data related silos to capitalise on the strategic and tactical benefits that come with a data-driven approach to problem solving. Supporting your cross organisational data initiatives by delivering the right outcome to your key internal customers.Speaking
Drawn to data: Analytics as a lens for change. Exploring the ways to convert data into actionable insights – distilling the customer’s voice to inform and improve products. Examining the ways in which you can learn from mistakes and overcome roadblocks to develop more mature analytic cultures.Speaking
Keynote Presentation: Making Life Better for Kiwis – How Data Science is Creating Data Driven Services at Trade Me
Building products supercharged with data science that users love Delivering best-fit data science services with cloud technologies to do it fast Getting staff excited about what Data (and understanding how we can help them) Some Trade Me data wins so far (we’ve only just begun)Speaking
Examining the exciting opportunities and pitfalls presented by machine and deep learning, as well as artificial intelligence – exploring their practical applications for your business. Constantly evolving and learning – exploring the ways in which machine learning can be used to process huge amounts of unstructured data and the feedback cycle between human and machine… Read more.Speaking
Machine learning algorithms aren’t new, but the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. With steady advances in digitisation and cheap computing power, what tangible opportunities does this present for optimising your business and processes? Human vs. Machine – Discussing… Read more.Speaking