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Event Schedule

  • Conference in Auckland : 14 - 15 February, 2019


Day 1: Machine Learning & Deep Learning Summit (14th February, 2019)

X Topic Abstract

Unlike typical software development, building machine learning/data science based products yields many new complexities. Data Scientists often want to investigate many different models, parameters and tools to solve a specific problem, they require the ability to track and manage their results and also be able to reproduce their work. Once the experimentation phase is done, developers need to use various different systems to "productionize" their models. Many companies have built "custom" ML deployment platforms which automate this process, but these processes are often limited by the type of models and other company infrastructure. In this talk I will present a newly made open-source tool from databricks, mlflow. Mlflow brings with it simple abstractions to make work reproducible, tracked and encapsulate models that can be used with other tools. At Quantiful we have used mlflow to rapidly increase the speed at which we conduct our machine learning development.

Speaker Profile

Vivek is a Data Scientist at Quantiful. At Quantiful Vivek works on building the the entire end-to-end machine learning platform to forecast consumer demand and sales for Quantifuls product. Prior to working at Quantiful, Vivek studied at the University of Auckland and completed a double degree in BE(Hons)/BSc majoring in Engineering Science and Statistics.

X Topic Abstract

Decision making is the key component of people’s daily life, from choosing a mobile phone to engaging in a war. To model the real world more accurately, probabilistic linguistic term sets (PLTSs) were proposed to manage a situation in which several possible linguistic terms along their corresponding probabilities are considered at the same time. Previously, in linguistic term sets, the probabilities of all linguistic term sets are considered to be equal which is unrealistic. In the process of decision making, due to the vagueness and complexity of real life, an expert usually hesitates and unable to express its opinion in a single term, thus making it difficult to reach a final agreement. To handle real life scenarios of a more complex nature, only membership linguistic decision making is unfruitful; thus, some mechanism is needed to express non-membership linguistic term set to deal with imprecise and uncertain information in more efficient manner. In this article, a novel notion called probabilistic hesitant intuitionistic linguistic term set (PHILTS) is designed, which is composed of membership PLTSs and non-membership PLTSs describing the opinions of decision makers (DMs). In the theme of PHILTS, the probabilities of membership linguistic terms and non-membership linguistic terms are considered to be independent. Then, basic operations, some governing operational laws, the aggregation operators, normalization process and comparison method are studied for PHILTSs. Thereafter, two practical decision making models: aggregation based model and the extended TOPSIS model for PHILTS are designed to classify the alternatives from the best to worst, as an application of PHILTS to multi-attribute group decision making. In the end, a practical problem of real life about the selection of the best alternative is solved to illustrate the applicability and effectiveness of our proposed set and models.

Speaker Profile

Dr. Abbas Malik has done his PhD in Computer Science from University of Grenoble, France. He has done the specialization in Machine Learning, Data Analytics and Machine Translation (Natural Language Processing). He has also done his Master in Computational Linguistics from University of Paris 7 – Denis Didrot, Paris, France and another Master in Computer Science. He has 10 years industrial experience in Software and Mobile App development. He also has experience in Data Analytics and Machine Learning. He is also an experienced academician and has served in different universities and institutions in France, Pakistan, Saudi Arabia and New Zealand. His areas of research are Machine Translation, Machine Learning, Data Analytics and Mobile apps.

X Topic Abstract

An increasing amount of training material on Machine Learning has been published in the last years. From the Math behind the ML "magic" to frameworks that can deliver models in a couple of clicks. All this accessible content is facilitating the entrance of new people in the field.
After seeing it work, gaining initial knowledge, or acquiring expertise in some of the tools, the common path is to start trying to solve problems, leading us to common questions:
Developer/Analyst: How do I go from a tutorial/example to my own solution?
Leads: How do I prove capability, what should I avoid and aim for?
Stakeholders: What skill set should I prioritise for future projects?
https://ssl.gstatic.com/ui/v1/icons/mail/images/cleardot.gifIn this talk, we are going to showcase techniques to identify problems where Machine Learning can be applied; defining goals and selecting necessary skills using case studies and real experiences.

Speaker Profile

I am Jabour has an M.Sc. in Informatics specialised in Optimization and Machine Learning having publications on the segment of Machine Learning and Optimization for Document Processing. With years of experience on Development, Big Data, and Machine Learning he collected experience in different companies’ sizes and industries (from start-ups to Microsoft), having to work with a wide array of stakeholders, teams, skills, and projects.

X Topic Abstract

At Xero, we are integrating more and more AI features into our product to handle menial, robotic tasks, such that our users are free to do what they love: beautiful business.
We will offer a look into how we leverage the latest deep learning algorithms in realistic use cases, the roadblocks we’ve encountered along the way, and the practices driving our exploits in this new field.

Speaker Profile

Jeff is a Data Scientist at Xero working to deliver user-focused machine learning features driven by cutting edge research and engineering. He has a strong interest in deep learning, specialising particularly in computer vision and natural language processing.

X Topic Abstract

Conversational Artificial Intelligence systems are becoming an indispensable part of modern world ecosystem. These conversational chatbots have come a long way from their rule-based predecessors to intelligent Digital Human platform with their incredible ability to create human-like real time chats/discussions. In today’s world, almost every company is deploying their chatbots to enhance customer experience based on these self-learning frameworks using machine learning and deep learning models.
An AI based chatbot understands the context of the conversation and can handle any user goal gracefully to provide quick tailored results thereby decreasing the operation cost and building AI scalable solutions.
In this discussion , we will take a deep dive into conversation chatbot and how they have evolved from traditional BOTS to Digital Human.

X Topic Abstract

Overview
Scenario:
What is Reinforcement learning ?
Why reinforcement learning ?
Applications

Speaker Profile

Lead the development of Huawei's digital products and services for Huawei customers globally. Visit MyGit Hub: https://github.com/romeosd

X Topic Abstract

Should you be informed that you were chatting with a bot? Should it be required to? If so, at what point?
More and more of our interactions are going to be augmented by automation and machine learning in the present days. Part of the challenge in transitioning to a more machine-learning economy is that we have such a divided understanding of human vs. machine roles in the larger cultural conversation surrounding automated interactions.
Are you ready to address the challenge?

Speaker profile

Seann is an award-winning speaker, a UX happiness speaker and a certified digital coach. He is the founder and director at Institute of Digital Marketing New Zealand (IDMNZ) and Ministry of UX New Zealand. Seann is passionate in Agile UX, digital creative strategy and learning experience (LX) design. He is the only scholarship winner in New Zealand awarded by an Australian public listed company recently to extend his knowledge into UX in AI, alongside with his research on digital user happiness by design.


schedule 08:45AM - 09:00AM Registration
schedule 09:00AM - 09:15AM Conference Overview
1.21GWS
schedule 09:15AM - 10:00AM Building an end-to-end machine learning workflow using mlflow: Model inception to deployment - Click Here for More Info
Vivek Katial, Data Scientist at Quantiful, Quantiful
schedule 10:00AM - 10:45AM Machine Learning and Multi-Attribute Group Decision Making - Click Here for More Info
M. G. Abbas Malik, Lecturer at Unitec Lecturer, Otago Polytechnic
schedule 10:45AM - 11:15AM Tea Break
schedule 11:15AM - 12:00PM Creating Value with Machine Learning: AND How to deliver value using Machine Learning in new projects? - Click Here for More Info
Iam Jabour, Sr Consultant, Intergen
schedule 12:00PM - 12:45PM Getting started with practical deep learning and what to watch out for! - Click Here for More Info
Jeff Mo, Data Scientist | Machine Learning Engineer, Xero
schedule 12:45PM - 01:45PM Lunch Break
schedule 01:45PM - 02:30PM Deep Dive Into Building Chat-bots Using Machine Learning - Click Here for More Info
Laxmikant Sinha, Senior Manager, Assurity Consulting
schedule 02:30PM - 03:15PM Reinforcement Learning - Click Here for More Info
Ramy Amer, Principal at GLG, GLG (Gerson Lehrman Group)
schedule 03:15PM - 03:45PM Tea Break
schedule 03:45PM - 04:30PM Should A Bot Tell You It’s a Bot ? - Click Here for More Info
Seann Lautner, Chief Experience Designer & Founder, Ministry of UX

Day 2: Cognitive RPA & Artificial Intelligence (15th February, 2019)


X Topic Abstract

• What is RPA?
• Understanding the RPA Phenomenon: Myth Vs Reality
• Why RPA?
• Charting the right RPA Journey: Critical decision points during the RPA journey
• Taking the first steps with RPA – Structured approach to full-scale implementation
• RPA implementation is not without its share of issues and challenges

Speaker Profile

Adnan has 14 years of experience serving clients across New Zealand, Europe and South Asia. His primary interest is in working using digital innovations such are automations, AI based solutions, chatbots and cognitive solutions. He has played various roles such as Solution Architect, Oracle Solutions Consultant, Technical Business analyst, Development lead and Process Analyst. He is well-versed in creating solutions using design thinking techniques, industry challenges, disruptive forces, and technology trends. He works as the Senior Consultant at Automate Practise, Deloitte in Auckland, New Zealand.

X Topic Abstract

There are different toolkits for converting image to text (OCR). In this one hour sesison, I will show you how to use some pre build AI tools like Microsoft cognitive service with some self service mobile application (Power Apps) and a data flow management (Microsoft Flow) to create n apps that take a photo from a text and then able to convert the text in the image to text to be able to stored in database. This session will introduced myltiple technoligies that user are not goin to write more than 10 lines of codes in total experiment. This session will show you how with out knowing the behinfd the seen of these toolkint how you able to use them in real world scenario.

Speaker Profile

Leila is a PhD, Consultant and Data scientist for Microsoft Data Platform applications. She holds Microsoft MVP award (Most Valuable Professional ) in AI and Data Platform fields. She is the first AI MVP in New Zealand and Australia and she is one of the seventy existing Microsoft AI MVP in the world. She is working in RADACAD as co-director, Trainer, Consultant and mentor in Microsoft AI and Machine Learning fields. She run Machine learning and Advanced Analytics Training in Australia, New Zealand, Europe and Asia. And She is the author of couple of books and also co-organizer of a monthly Power BI meet up in Auckland for 6 years and also the organizer of SQL Saturday Auckland, Dfinity and AI Bootcamp in New Zealand. She is an international speaker that spoken in more than 100 conferences such Microsoft ignite USA, PASS Summit, and so forth.

X Topic Abstract

Imagine how lives would have been had wheel wouldn't evolve through ages to what we get in a car today. So how about letting our day-in day-out activities evolve under our supervision such that we boss them out to deliver asks at our command.

Let's welcome the digital world of Robotic Process Automation with open arms and "Boss the BOTs". Here we are to burst the myths of the digital transformation and introduce ourselves to a great opportunity to boss the bots using the AssistEdge suite.

Demo :

Use case automated using AssistEdge

1. Reading from Excel/CSV file & screen scraping a web portal to populate Stock Values back in excel.
2. Connecting to (public) REST based APIs to fetch and store data in (advanced) loop.

Case Studies (short talk on implementation possibilities and challenges observed)

1. RPA in the Cloud.
2. Automating Legacy Applications.
3. Scaling RPA.

Hands on :

1. Setup and basics of the tool.
2. Basic automation function/operation.
3. Creating a medium complexity process (similar to the stock value use case in Demo).

X Topic Abstract

AI, Cognitive technologies, and RPA is on fire in the marketplace with every organisation trialling them in some shape and form. On the other hand, digital transformation is well and truly underway globally and in New Zealand supporting key business goals and aspirational roadmaps – and creating a well thought-out operating model and governance structures in organisations to deliver measurable benefits. However, while there are quite a few advocates for embedding AI / RPA / Cognitive as part of digital transformation initiatives, quite often we see them executed in a disjoint manner during delivery. In this highly interactive session, we will explore the value that a joined-up approach to AI / RPA / Cognitive may bring to your digital transformation agenda and a holistic view of business optimisation, operational agility, and customer experience. We will talk about real-life examples and learnings – and put that in perspective of reports / artefacts from analyst firms and vendors. We will cover –

SDLC, DevOps, and a lifecycle approach to RPA – Lifecycle does not apply to RPA programmes alone, but the entire IT portfolio. The enterprise IT juggernaut is always moving with each bit and piece evolving in its own microcosm, while the enterprise architecture is ever changing. RPA projects need to have a coping strategy with ever changing enterprise and cloud applications and AI to ensure virtual workers have the smarts to handle these changes, leveraging automation itself. We will explore architectural principles and practices that offer robust capabilities to RPA programmes.

Vehicle for embedding Cognitive – Cognitive technologies provide great advantages in processing and handling semi-structured data. Traditional RPA provides great results in handling processes dealing with structured data – which covers about 20% of an enterprise’s data estate. However, RPA does provide a great opportunity to embed cognitive capabilities at the point of decision making, therefore freeing up human workers from repetitive tasks around unstructured data – be it running identity documents through OCR and facial recognition to validate customer identity and speed up KYC, monitoring CCTV footage, orchestrating regulatory processes such as GDPR, or integrating with eDiscovery tools to assist legal departments. We will explore reference architectures to enable and scale such use cases

Process identification and pipeline – arguably, the most critical piece of a successful RPA programme is a robust process pipeline. While enterprises hold a great deal of knowledge on their processes and pain areas, in an increasingly data driven world, what role does data and analytics play in identifying candidates for process automation based on hard data and process telemetry? Enter process mining, a relatively new discipline in the automation world that may provide significant value to larger RPA programmes. We will see how it can analyse and identify ERP data to outline process optimisation and automation opportunities.

Speaker Profile

Sayan has many years of experience serving clients across New Zealand, United States, South East Asia, and South Asia. He has played various roles such as Enterprise Architect, Solution Architect, Programme / Project manager, Business analyst and Development lead. Sayan focuses in illustration and elucidation of business value to non-technical as well as technical audiences, through inspirational artefacts such as use cases and case studies, as well as more traditional artefacts such as business cases, TCO models and so on. Sayan also has a clear track record working with partners in realizing outcomes, often successfully creating joint offerings by establishing relationships, and putting the end-client needs first. Sayan also has comprehensive experience and delivery track record in Cloud consulting - both Cloud platforms (IaaS, PaaS and SaaS), Migration roadmaps, modernization considerations, as well as productivity platforms. He is well-versed in creating Solution and Enterprise Architecture artefacts keeping in mind complex client needs, industry challenges, disruptive forces, and technology trends. Sayan also has experiences in running multiple complex, Enterprise scale SDLC projects following traditional project management and consulting delivery methodologies and understands the nuances of delivering value and managing / balancing stakeholder expectations in an Enterprise environment. He works as the Principal Architect at Quanton, the leading intelligent automation consultancy based in Auckland, New Zealand.

LinkedIn : https://www.linkedin.com/in/sayanghosh/
Twitter : https://twitter.com/sayanghosh/

X Topic Abstract

As the University of Auckland progress on their intelligent automation journey to evolve Digital Operations platforms across the Business environment, Machine Learning is the first step towards cognitive automation.
This presentation will focus on how we have used RPA as a foundation for intelligent automation, and the use of Machine Learning to further enhance business operations and customer value through automation.

X Topic Abstract

Its not just the RPA, but business also need to go through the adaption process to realise the full benefits of RPA. Most of the existing business processes have evolved in its current form as a result of learning and mistakes made somewhere in the past. Implementing RPA into those business processes in their as is form are often not easy, which results in high cost, low STP and eventually ends in a failure. By taking a fresh approach in reassessing those processes, understanding the capability of the RPA tools, and pushing for simplification often give far better results.

Speaker profile

I'm working in the field of Robotics and Automation since past 9 years. During my RPA career, I assisted clients to build New Zealand's largest and one of the most successful Virtual Workforce. I have created Standards & Guidelines to streamline the development work and actively worked to find optimal ways to integrate newer technologies into RPA. As a technology expert, I always been on the forefront of solving challenging issues using RPA, and therefore aware of most of the true capabilities and false promises of the RPA world.

X Topic Abstract

Automation is a great tool to increase productivity and output. But too often, we use them for the wrong problem and sacrifice user experiences in the process.

Should we bot, or not? The is a challenge with automation - a challenge knowing when you’ve gone too far, when you’ve automated to the point of ruining the very thing you sought in the first place: a better customer experience.

Speaker Profile

Seann is an award-winning speaker, a UX happiness speaker and a certified digital coach. He is the founder and director at Institute of Digital Marketing New Zealand (IDMNZ) and Ministry of UX New Zealand. Seann is passionate in Agile UX, digital creative strategy and learning experience (LX) design. He is the only scholarship winner in New Zealand awarded by an Australian public listed company recently to extend his knowledge into UX in AI, alongside with his research on digital user happiness by design.

X Topic Abstract

This presentation overviews AI techniques and its applications in different domains. A few applications including the use of AI in politics, conversation bot for an educational robot, and the application of Deep Learning and TensorFlow in autonomous driving will be demonstrated/discussed during this presentation.

Speaker Profile

Farhad received his PhD in computer science, and also completed his post-doctoral research in Kyushu University, Japan between 2007 and 2010. From 2006 to 2016, he was a senior R&D expert and an academic, where he participated in several joint projects with industry in Japan.
He joined Tech Futures Lab at Auckland as a Data Science and IoT Specialist in May 2016. Later in 2017 he joined Unisys as a senior consultant and data scientist. Alongside his current academic placement as a senior lecturer at Otago Polytechnic (Auckland Campus), he has also founded STEM Fern, a startup in Auckland developing AI and robotics technologies and content for primary aged STEM education.
Farhad has a broad experience both in industry and academia across three different countries and has initiated and led several interdisciplinary R&D projects particularly on AI, robotics, and IoT-enabled smart systems.

schedule 08:30AM - 08:45AM Registration
schedule 08:45AM - 09:00AM Conference Overview
1.21GWS
schedule 09:00AM - 09:45AM Understanding the RPA Phenomena – Myth vs Reality, Why RPA? - Click Here for More Info
Adnan Ahmad, Senior Consultant at Deloitte
schedule 09:45AM - 10:30AM Image to Text Application: With Cognitive Service and Power Platform Technologies - Click Here for More Info
Leila Etaati, Data Scientist | Microsoft AI and Data Platform MVP | Co Founder, RADACAD
schedule 10:30AM - 10:45AM Tea Break
schedule 10:45AM - 11:45AM AssitEdge Suite: Bossing the Bots - Click Here for More Info
Rahul Sovani, Senior Member Of Technical Staff, EdgeVerve
schedule 11:45AM - 12:30PM Digital Transformation; or How I Learnt to Stop Worrying and Love the Bots! - Click Here for More Info
Sayan Ghosh, Principal Architect, Quanton
schedule 12:30PM - 01:30PM Lunch Break
schedule
schedule
01:30PM - 02:15PM RPA to Cognitive Workforce using Machine Learning Technologies - Click Here for More Info
Izak van Niekerk, Business Transformation Architect, University of Auckland
Co-Presenter : Mark Burton, Senior Business Solution Consultant, University of Auckland
schedule 02:15PM - 03:00PM RPA Plus - Click Here for More Info
Abhishek Ranjan, RPA Developer Lead, Fonterra
schedule 03:00PM - 03:45PM To bot, or not to bot? - Click Here for More Info
Seann Lautner, Chief Experience Designer & Founder, Ministry of UX
schedule 03:45PM - 04:00PM Tea Break
schedule 04:00PM - 04:45PM AI: From Politics to Education and Autonomous Driving - Click Here for More Info
Dr Farhad Mehdipour, Lecturer, Otago Polytechnic Auckland International Campus

Conference Ticket Price & Plan

Conference Only

Special Offer Price(Both days)

NZD 900 (Till 10th Jan, 2019)

Group of 3 or more(Both days)

NZD 1000 (Till 15th Feb, 2019)

Any one day

NZD 649 (Till 15th Feb, 2019)

Both days

NZD 1200 (Till 15th Feb, 2019)

Register Via Eventbrite
RPA Workshop Only

Special Offer Price

NZD 900 (Till 10th Jan, 2019)

Group of 3 or more

NZD 1000 (Till 12th Feb, 2019)

Early Bird

NZD 1200 (Till 12th Jan, 2019)

Standard

NZD 1500 (Till 12th Feb, 2019)

Register Via Eventbrite
ML Workshop Only

Special Offer Price

NZD 900 (Till 10th Jan, 2019)

Group of 3 or more

NZD 1000 (Till 12th Feb, 2019)

Early Bird

NZD 1200 (Till 12th Jan, 2019)

Standard

NZD 1500 (Till 12th Feb, 2019)

Register Via Eventbrite