Agenda

Time Main Summit Agenda
With Industry 4.0 now with us, the arrival of Artificial Intelligence disrupting the whole landscape of businesses around the world, organizations should ride on the latest trends to enable them to boost their top and bottom lines. ANZ organizations are still lagging behind in terms of the pace and scale in adopting AI; this could potentially cause them to miss out on the biggest economic opportunities and business growth, going forward.

Through the first day session, you will gain insights on new waves of opportunities that AI and DL will bring to your organization in Australia & New Zealand through exploring local, regional and global trends. You will also be presented AI troubleshooting sessions with some of the best strategies in investing in AI in your organization as well as challenges organizations face in terms of selecting, integrating, scaling and establishing measurable returns in applying AI. We will also be exploring the potential of combining AI and Robotic Process Automation as strategic tools in differentiating your organization from your competitors.

09:00 am Opening Address by Conference Chairman
 Mario-Bojilov-112x128 Mario Bojilov
Chief Data Strategist

Meta Business Systems

MARIO BOJILOV is a Certified Information Systems Auditor, a Lecturer in Accounting Information Systems and has worked in the area of Data Analytics since 1994.

Mario founded Meta Business Systems in 2004 of which he is the current Chief Data Strategist. The company is focused on performance monitoring, business intelligence and social media analytics. A number of Queensland-based organisations, such as Griffith University, Brisbane City Council, Queensland Urban Utilities and QUT currently use solutions designed and implemented by Mario and Meta Business Systems.

Mario Bojilov holds a Master of Engineering Science Degree from the University of Queensland and a Graduate Diploma of Applied Finance and Investment from the Financial Services Institute of Australasia (FINSIA).

Mario has appeared as a presenter and lecturer at various professional and academic bodies, such as Institute of Internal Auditors (IIA), Information Systems Audit and Control Association (ISACA), University of Queensland and University of Southern Queensland.

09:10 am Intelligent Automation & AI: Analyzing the Game-Changing Potential of AI on Enhancing Operational Efficiency, Productivity & Automation
  • How AI and Deep Learning Lead to Automation, Better Employment, And Enhanced Productivity
  • The Digital Enterprise Evolution in the Context of Artificial Intelligence
  • What Are The Steps Needed to be embraced by Enterprises along this Necessary AI Journey
Fang-Chen-112x128 Dr. Fang Chen
Senior Principal Researcher in Data61
CSIRO

Dr. Fang Chen was employed with Beijing Jiaotong University in China from 1995-1999. She was appointed as the Associate Professor of the Faculty of Electronic and Information Engineering in 1995, as the Deputy Director of the Institute of Information Science in 1996, and then as the Dean of Faculty of Electronic and Information Engineering in 1997.

Dr. Chen began her career in industry in 1999 as senior researcher and Team Leader in Intel China Research Centre. She joined Motorola in 2000 as Principal Researcher and founding manager of the Speech and Language Generation Research Lab of Motorola China Research Centre, where she also acted as the account manager of business relationships for the Motorola China Research Centre. Dr. Chen moved to Australia in 2002 to work for the Motorola Australian Research Centre, where she chaired the Patent and Publication Committees.

She joined NICTA in 2004 and is currently the Research Group Manager and Senior Principal Researcher in Data61, CSIRO

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9:50 am What Organizations Can Do To Strategically Prepare For AI And Gain the Competitive Edge?
  • Explore the current business landscape of applications of AI and DL in Australasia
  • What are the major management hurdles and risks presented by AI in your organization?
  • Discover examples of the practical applications of artificial intelligence in the context of machine reading and writing, including question and answering and decision making
  • Identifying the role and impact of AI and DL within the different business sectors
Salim-Naim-112x128 Salim Naim
Chief Technology Officer, Advanced Analytics & Data Science
Microsoft Services

Salim Naim is the CTO Advance Analytics & Data Science for Microsoft Services in APJ. In this role, Mr. Naim is responsible for envisioning, solutions design, consulting and delivery of advance analytic services to customers and partners. He works closely with Microsoft’s Enterprise & Partner Group and Microsoft Enterprise Services, as well as the various Microsoft product teams to deliver a comprehensive portfolio of offerings across APJ.

Mr. Naim is a fourteen-year Microsoft veteran, and has been based in Melbourne, Middle East & Africa and Europe. Prior to this role, he was the Digital Advisory Lead for Microsoft Services in Australia, as well as a member of the Worldwide Digital Advisory Team where he was responsible for driving and managing delivery and growth planning for digital innovation. He was responsible for the development and execution of Microsoft’s digital transformation strategy and solutions portfolio with key industry solutions, partners and customers across Financial Services, Government, Education, and Sports. His team delivered solutions to the industry to help companies enable their business to improve value chain performance, accelerate product development & innovation, achieve operational excellence and build customer centricity.

With twenty years of experience working in many industries including IT, advisory and consulting services spanning commercial and public sector, he is a highly respected leader with a strong track record and extensive knowledge on the evolving challenges and opportunities experienced by enterprises today, and how organizations can prepare themselves for the future.

Mr. Naim holds a degree in computing and instrumentation, including an MBA in Technology Management. He sits on the review board of International Association of Solutions Architects for the Australian chapter.

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10:30 am Morning Refreshments & Networking Session
10:45 am Artificial Intelligence, Data Science, Machine Learning, Deep Learning – Where are the Boundaries and Where Enterprises Can Apply Them?
  • Data Convergence – Moving from IoT to AI
  • Big data analytics: Managing structured and unstructured data and the value it can add to your business
  • Selection and integration- choosing and integrating appropriate artificial intelligence technologies
Hosein-Alizadeh-112X128 Hosein Alizadeh
Lead Data Scientist
VicSuper

Hosein is a PhD qualified Lead Data Scientist who established data science team at VicSuper in 2016 and since then he helped the fund to grow by making more data driven decisions.

He has 8+ years of hands-on experience in development of commercial solutions in various industries including Superannuation, Telecommunication, Banking, and Healthcare. He has in-depth technical knowledge of data science including predictive algorithms, cluster analysis, ensemble techniques, social network analysis, text mining, and optimisation algorithms. He has also worked on various databases including transactional, CRM, survey, text, and social media.

Hosein taught data science in graduate programs, conducted multiple workshops, and provided mentoring to other data scientists. He was awarded as “Elite Researcher” for his significant research achievements including 40+ papers published in outstanding data science journals and conferences since 2008. His fully commercialised innovation in segmentation received the highly commended prize of “Technology and Innovation Award” at AMSRS 2016.

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11:25 am How to accelerate the adoption of enterprise-wide AI using Big Data
  • How big data processes with the scale of artificial intelligence (AI) capabilities to accelerate the delivery of business value
  • How should organizations make use of underutilized data in generating more efficient ways of using current insights
  • Challenges in choosing the right problem and having enough existing data to produce meaningful results
  • Maximizing the systems that are already in place and supplement with new platforms in enhancing data and analytics capabilities
Babar-Jan-Haleem-112x128 Babar Jan-Haleem
APAC Segment Leader: Big Data Analytics | AI | ML
Amazon Web Services

Babar heads the APAC Big Data Analytics & AI Segment for Amazon Web Services responsible for driving AWS solution initiatives across APAC region. His professional experience is in Big Data Analytics & Data-warehousing field for over 19 years in United States & APAC including GC and Japan. Before being relocated to APAC, Babar provided technical consulting expertise to Fortune 500 organizations in the US in EDW & Business Analytics arena thus has a deep technical architecture background with focus on business outcomes. Prior to joining Amazon family, Babar headed APAC Big Data & Analytics Specialist practice for Oracle for over 11 years.

He is passionate about the immense value Big Data Analytics & Artificial Intelligence solutions offer and how they are being leveraged by organization to generate value. His undergraduate and MBA studies in the US are in Information Systems and Mathematics. Based out of Australia, in his current role Babar maintains a close working relationship with AWS HQ development & product management organizations giving him direct insight into solution product roadmap & strategy and inner workings of solutions. He is a strategic thinker with the ability to clearly articulate long-term strategies for organizations embarking on strategic data driven cloud initiatives while overcoming mission critical challenges.

12:05 pm Networking Lunch
01:00 pm Get Ready for an AI-First World
We are living in a very special moment in history, we are building the foundations of Society 5.0, a new smart world. New technologies and cultural shifts are pushing the pace of change to exponential levels. Customer expectations are demanding organizations to prepare for extreme personalization and digital intimacy in order to survive, only achievable through a new front-end composed by smart virtual agents. And this will change everything forever.
william-confalonieri-112x128 William Confalonieri
Chief Digital Officer
Deakin University Australia
William Confalonieri is Chief Digital Officer and Vice-President with Deakin University Australia, originally being appointed Deakin’s first CIO in January 2012.William was the recipient of the 2017 ComputerWorld/IDG Premier 100 Global Technology Leader Award, was finalist for the 2017 ‘Australian CIO of the Year’ ITNews Benchmark Award, was awarded 2016 ‘CIO of the Year’ by the Australian Executive Awards/CEO Magazine, was named and worldwide showcased ‘Global Digital Leader’ by Gartner Symposium 2016, was Finalist for the 2015 ‘Australian CIO of the Year’ ITNews Benchmark Awards and was named 2014 ‘Australian CIO of the Year’ – ITNews Benchmark Awards.William is representative of the new breed of Digital Leaders who are focused on digitally driven enterprise strategy, with special emphasis on creating competitive advantage through the orchestration of digital ecosystems and organizational change to deliver premium experiences to stakeholders.
William is elected President of McKinnon Secondary College after serving many years as a Council member, and advisor to the Victorian Government – Victorian Public Sector Commission.William has postgraduate qualifications in Computer Science, Business Administration, Negotiation, and Economics, he is a certified Enterprise Architect and a graduate of the Australian Institute of Company Directors.
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01:40 pm How to Create the Conditions for Success in Adopting AI
  • Defining the criterion needed to derive maximum value from AI and DL to solve business problems
  • Seamlessly integrate AI into business processes in the different stages of AI
  • Developing the right minds on board in organizations to help bring the process around full circle during the growth stage of AI implementation
jeremy-hubbard-112x128 Jeremy Hubbard
Head of Digital and Technology

UBank

Jeremy Hubbard is a delivery focused leader who has more than 18 years’ experience delivering digital strategy and solutions in Australia, China and the United Kingdom across software and financial service companies.

Currently responsible for the digital business at UBank, Jeremy has played a key role in the development and deployment of UBank’s digital and financial products since 2008. He has managed and implemented UBank’s market-leading digital mortgage capability which was deployed in 2011.

In addition to UBank, Jeremy has also worked with the NAB technology team to develop its core banking replacement strategy and create an agile delivery capability for its new core banking team.

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02:20 pm Troubleshooting AI Adoption – Concurrent Round Tables (Presentation Sponsorship Opportunities still available)
A.    Establishing the AI Team – Who You Need and What Infrastructure is Critical
salim-ladak-112x128 Salim Ladak
Founder
EQ How

Salim Ladak is the 2013 Founder of EQ How, whose mission is to develop Software Engineers into Great Leaders. Salim is a dual expert in Leadership and AI Machine Learning. He brings over 20 years of Software Consulting and Leadership Development experience. EQ How addresses a variety of Software Engineering and Data Science audiences through Speaking Events, Workshops, Coaching, Consulting and EQ Assessments.

An advocate of lifelong education, Salim is currently pursuing a part-time MSCS in Machine Learning from Georgia Tech, USA. He received an MBA, Science and Technology, from Queen’s University, Canada in 2003 and a BASc in Industrial Engineering from the University of Toronto, Canada in 1995. In line with International Coach Federation (ICF) standards, he obtained his ACPEC in 2013 from the postgraduate College of Executive Coaching, USA.

Salim has been a Global Speaker at over 200 venues, lived in 6 countries and traveled through 40 countries. The recipient of 15 Public Speaking trophies & awards, he is a Toastmasters Division Champion & District Podium Winner and has earned the ACB credential. A Canadian citizen, he has also lived in the UK, Hong Kong, Tanzania and Dubai and currently resides in Sydney, Australia.

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B.     How Can You Implement AI in Your Organization?

How can you implement AI in your organization? In today’s day and age, people are concerned about robots, automation, and being taken over in our daily jobs. With technology moving faster than we can tweet, and robots being placed in all aspects of our lives, how do we add artificial intelligence to our businesses without taking over all our jobs. In this session we’ll look at the future of work, and how processes can benefit from AI.

Michelle-Mannering-112x128 Michelle Mannering
Founder
Variant X

Coming from both a Science and Arts background at the University of Melbourne, Michelle has spent the past two years in Melbourne’s entrepreneurial landscape. She has co-founded an artificial intelligence company and competed on the world stage, representing Australia at Microsoft’s global technology competition. Running an AI company at the forefront of our world’s innovation, Michelle took every opportunity to gain knowledge about AI and machine learning. This included attending NVIDIA’s Deep Learning conferences, brushing up on code, going to as many data science events as possible and reading as much as possible. Whilst running this startup, Michelle remained heavily involved in both the startup and corporate community, from running hackathons to MCing, speaking, and facilitating a range of events. Known as the “Hackathon Queen”, Michelle has now started a new venture, Variant X, and works alongside BajaBoard, the custom designed, off-road electric skateboard, as well as Motum Simulation, a motion VR racing simulator built for driver training.

C.     How to Bridge the gap between data and insights with business transformation and great outcomes

Tim will walk through a couple of anonymous use cases adapted from real-world analytics projects his team has implemented. He will describe the challenges posed by messy data (including free-form text), incorporating business subject matter expertise into an automated solution, and approaches they took to effectively deliver insights to key business stakeholders.

Tim-Manns-112x128 Tim Manns
Data Science Lead
Analytics8
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D.     How to Use Machine Learning to Build Predictive AI Models with Big Data

Basic overview of two case studies demonstrating real-world applications of Machine Learning working with large dynamic datasets.

  1. Corporate Experience: Outcomes from improving ATM cash dispenser performance across First Data International ATM supply chain using continual machine learning, predictive analytics and self-optimization of individual ATMs.
  2. Start-up Experience: Applying machine learning and predictive models to fast-track energy efficiency in apartment buildings using accessible cloud service platforms.

Ross will further present a quick start guide to launching basic Machine Learning, Predictive AI Models, and Big Data projects using Google Cloud Services. The presentation will include a quick step guide to setting up a free 12-month trial and accessing services such as Big Query, ML Engine, IoT Core and spinning up Hadoop clusters.

male-silhouette Ross McIntyre
Co-Founder and Chief Data Officer
Wattblock, Micheal Crouch Innovation Center, University of NSW

Ross is the co-founder and Chief Data Officer of Wattblock. Winner of the SCA Innovation of the Year in 2016, Wattblock has developed a “smart city” analytics platform to reduce energy waste in high-density urban environments. Wattblock provides sustainability reports for strata buildings covering energy efficiency, solar, batteries, smart meters, electric vehicle recharging, gas, and water. It has offices in Sydney and Brisbane and has assisted strata buildings across Australia.

Wattblock received investment from muru-D as part of Telstra’s startup accelerator program and an environmental innovation grant from the City of Sydney. The development of the technology has been supported in part by the Department of Industry, Skills, and Regional Development through the Innovate NSW program.

Previously Ross spent 10 years working for First Data in Australia, Hong Kong, Singapore, and China. He has consulted to tier 1 banks on high volume transaction data for ATMs and merchant acquiring. Ross has a Masters in finance and an honors degree specializing in product development and innovation from the University of NSW.

E.    Deep Learning: Applications for Human Perception and how to get started

Jonathan will be presenting on deep learning applications across various industries including asset management, power, sports and medical. He will dive into a case study on how Deep Learning is being applied to automate human perception and explore the difference it’s made to the organization.

johnathan-chang-112x128 Jonathan Chang
CEO & Co- Founder
Silverpond

Jonathan is the founder and CEO of Silverpond, a machine learning and AI company based in Melbourne. Silverpond helps startups and organizations such as CliniCloud and Powercor adopt machine learning and Artificial Intelligence technology through consulting, educational workshops, hosting events and conferences, and the Silverbrane product. Working on computer vision, natural language processing, audio and predictive models on time series data, Silverpond has delivered solutions for industries spanning retail, property, advertising, energy, and healthcare.”

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04:00 pm Afternoon Refreshment & Networking Session
04:20 pm Roundtable Round-Up Panel Discussion:
05:00 pm Champagne Networking Session
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Time Agenda
Applications of AI, Deep Learning and Machine Learning

Showcasing diverse business benefits of AI and DL in different industries and how they can go on to be the game changer in enhancing organization excellence. Case studies of different industries who have successfully implemented AI and DL from research and development, manufacturing, logistics, sales, marketing, and customer service will also be showcased and discussed in greater detail to understand how AI and DL could be used to achieve operational efficiency, top and bottom line growth and better user experience.

The conference will examine the potential pitfalls in deploying AI owing to hype-driven, ill-informed investments which lead to bottom line and reputational loss. The last session will also allow you to glean insights into preparing your organization for the next stage of advancement of artificial intelligence in looking into super intelligence and possibly, quantum computing – preparing for the next phase of AI.

09:00 am Opening Address by Conference Chairman
Highlights on Conference Day 2 Key Sessions
09:15 am

How AI and Machine Learning is Transforming Many Different Industry Verticals – Fast Sprint Interactive Roundtables with recent Case Studies (Presentation Sponsorship Opportunities still available)

Legal, Court Services, Tax, Auditing, Trusts 

  • AI in Law – Unleashes AI to Automate Legal & Tax Cases: AILIRA Case Study
Adrian-Cartland-112x128 Adrian Cartland
Principal
Cartland Law

Adrian Cartland has worked as a tax lawyer in top tier law firms as well as boutique tax practices. He is now the Principal of Cartland Law, a boutique tax and commercial law firm. Adrian is also the Creator of Ailira, the Artificially Intelligent Legal Information Research Assistant, which automates legal research and advice. Ailira is currently used by hundreds of Australian tax lawyers and accountants from the ‘Big 4’ to small practices, for tax research, and is currently expanding into other legal areas. Ailira can also provide tailored legal information to consumers, initially in the areas of Domestic Violence (for which Cartland Law has already delivered a SA Government funded prototype), Business Structuring, and Wills and Estates. Adrian is known for his innovative advice and ideas and also for his entertaining and insightful professional speeches.

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Medical Research & Life Sciences

  • AI in Medicine – How AI-driven image analysis helps to improve embryo selection in IVF (In Vitro Fertilisation)
Dr-Michelle-Perugini-112x128 Dr. Michelle Perugini
Managing Director
Life Whisperer

Dr Michelle Perugini is an entrepreneur, academic and an internationally renowned expert in health, medical research, advanced analytics, and cognitive AI. Michelle spent the first 13 years of her career in health and medical research, specializing in predictive genetics and translational medicine. Michelle led large complex research projects that translated genetic mutation analysis (bioinformatics) to clinical treatments for cancer patients. She was also the pioneer of new methods in proteomics that now drive drug discovery. In 2007 Michelle co-founded the innovative start-up ISD Analytics, where she led the research and development, and commercialization of its award¬ winning human-population behavior predictive analytics software product Simulait. Michelle is now working with and mentoring various innovative technology start-ups. Michelle is also co-founder of Presagen and Life Whisperer. Presagen has an advanced AI platform for automating human behavior, as well as image-based medical diagnostics. Life Whisperer uses AI to better select healthy embryos for IVF, and to ultimately improve outcomes for couples wanting to have children.

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Payments

  • AI in Financial Services – Disrupting Payment using Deep Learning and Automation
Shendon-Ewans-112x128 Shendon Ewans
CEO
Gobbill

Shendon Ewans is CEO & Co-founder of Gobbill, a digital service focused on making bill payments easier for households and businesses. Prior to Gobbill, he was a former advisor in innovation and commercialisation for the University of Melbourne, Melbourne Ventures and National ICT Australia (now CSIRO Data61). He has developed digital strategies to create new services and revenue streams for large organisations faced with increasing competition and digital disruption. Shendon was previously the VP & CTO for an Australian-American biotechnology company that he helped to startup and grow. The company served high profile clients across medical research institutes, hospitals, pharmaceutical and biotech companies. It was later acquired by the U.S. Government and private investors. He has extensive experience in business consulting and managing enterprise (ICT) transformations working at PwC, Arthur Andersen & KPMG.

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Lending

  • AI in Bank Lending
Nissanka-Janaratne-112x128 Nissanka Janaratne
Digital Advisory and Transformation Lead
Independent

Nissanka is passionate about building banks of the future with fintech innovation capturing the possibilities emerging from the convergence of AI, big data and experience design to bring financial inclusion for 2 billion unbanked and underbanked people globally who don’t have access to financial services.
 
He helps business unit leaders to realise their digital transformation visions to build banks of the future with identifying unmet customer needs, developing digital transformation strategies and road maps to overseeing successful implementation of transformation programs.
 
Nissanka brings to the table insights gained from his cross industry consulting experience intersecting technology, design and innovation enriched with senior leadership experience as a former banking sector CIO and Head of IBM Services. 

Healthcare

  • AI in Healthcare
Cody-Middlebrook-112x128 Cody Middlebrook
Head of Artificial Intelligence and Data Science
AI Sydney / eHealth NSW
Ai Sydney
Yogesan-Kanagasingam-112x128 Professor Yogesan Kanagasingam
National Research Director
Australian e-Health Research Centre

Presently, Professor Yogesan is the National Research Director of the Australian e-Health Research Centre at CSIRO (based in Perth, Brisbane, Melbourne and Sydney). Prof Yogesan is also a visiting scholar at Harvard University (Centre for Research in Computation and Society). He was a Fulbright Scholar to Stanford University School of Medicine in 2011 and worked on developing a non-invasive imaging device to screen premature babies for retinal abnormalities.

Yogesan’s research focuses on early detection of diseases non-invasively from the eye as the window to the body and use of technologies to improve health care delivery for the underserved. His team was the first to demonstrate the relationship between the retina (eye) and AD, and also the first to develop ocular biomarkers and an eye test for the non-invasive early detection of AD. This pioneering research has lead to new knowledge about the progress of the disease. His current research is about demonstrating that amyloid plaque in the eye can be removed using curcumin (found in turmeric spice), and may prevent or delay the onset of AD. Early detection of AD through a non-invasive screening test will accelerate the development of treatments, providing huge market potential and decreasing the burden of disease worldwide.

AU Ehealth Research
female-silhouette Dr. Yang Li
Data Scientist (Health)
AI Sydney / BICG
Ai Sydney
Logistics

  • AI in Supply Chain & Logistics: How AI is being deployed in Supply Chain Management in disrupting & improving the Logistics & Supply Chain industry
kyle-rogers-112x128 Kyle Rogers 
Business Development Manager
Silk Contract Logistics

Kyle is a Supply Chain and Logistics (SC&L) enthusiast, with a sharp focus on technology and innovation. Kyle graduated with a BSc in Transportation & Logistics in is home country of Ireland. Since arriving in Australia Kyle has become increasingly interested in technology and the effects it has in both our personal and business lives. There is no disputing that the world is experiencing radical change and disruption or what can be called industry 4.0. SC&L impacts all of us on a daily basis and is the perfect application for AI and Machine Learning. Kyle will discuss how AI can be used for the right reasons to improve our lives both now and into the future.

On the flip side, Kyle is equally passionate about the human side of things and our impact on the future. He believes we need to learn how to work with AI and it can only be as good as the data inputted. We can either think “Are robots going to take our jobs” or “How can I apply myself to work alongside them”. Kyle also believes we can either choose to condemn change; or choose to co-exist with change. Ultimately the choice is ours.

Silk Logistics
Robotic Process Automation

  • AI in Robotic Process Automation and Business Process Management
AI and Social Media Analytics
Education

  • AI in Education: How Advances in AI are Giving Teachers a Better Understanding of How Their Students Learn and Personalize Individual Learning
Harry-Toukalas-112x128 Harry Toukalas
Group Managing Partner
Blackhall & Pearl

Harry is the co-founder of Blackhall & Pearl. His senior career encompassed roles as the Regional Vice President Asia/Pacific Risk Management for Bankers Trust and the Global General Manager of Operational Risk and Compliance for the NAB. He was also the founding Managing Director of the Bank of Cyprus Australia (now Delphi Bank), building it into a full-service retail bank. Harry is currently completing a Ph.D. on Risk and Artificial Intelligence.

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01:00 pm Networking Lunch
02:00 pm How to: Change Organizational Mindsets and Manage Change Resistance from Enterprises – Wide Adoption of AI
 There are at least four forces driving massive change across our private and work lives. Chief amongst these forces, technological disruption, and development (especially in artificially intelligent systems) is resulting in technologically structural unemployment, as well as the creation of wholly new careers. Now and into the future, the primary work skills we all need focus on our creativity, decision making, and complex communication.

Accommodating this through successful workplace change will need careful and considered leadership if we are to accommodate and effectively work with artificially intelligent systems.

This presentation will offer relevant case studies of organizational change and frameworks that will enable the development of best practice.

clive-smallman-112x128 Professor Clive Smallman
Speaker, Author, Mentor, Non-Executive Director 
Clive SmallmanProfessor Clive Smallman PhD FBCS CITP GAICD is a Thought Leader working in the space of personal and professional development in the evolving world of work. Formerly a Research Fellow at Cambridge University, Clive’s 30 plus year career spans applied artificial intelligence research and applied business research. His professional experience inlcudes financial services, the gas industry and higher education.
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02:45 pm Emerging Paradigms & Innovation Trends in IoT, AI & 5G – Visions of Future Mobility & Immersive User Experiences
At the intersection of disruptive technologies and market/industry trends, there are numerous emerging applications that are rapidly shaping the modern world. At the confluence of IoT, AI, and 5G we are witnessing a maturing fourth industrial revolution and a new world order is being formed. It all comes to meaningful innovative applications that are enabling humanity to cross the chasm in multiple domains from education to healthcare. We shall explore some examples, key learnings from the past & present/insights leading to some potential future scenarios/ foresight.
anuraj-gambhir-112x128 Prof. Anuraj Gambhir
Strategic Advisor and Innovation Catalyst / Director – Entrepreneurship & Innovation | Adjunct Faculty
S P Jain School of Global Management
Anuraj Gambhir is an internationally recognized Strategic Business Advisor, Technology Visionary and Innovation Evangelist.As an Innovation catalyst Anuraj assists organizations to spearhead their innovation agenda. He has over 25 years’ experience working across the mobile ecosystem spanning 5 continents. A few prominent companies he has worked for include: NASA/JPL, Optus, Logica/Aethos, T-Mobile, Orange, GSM Association, Sharp, Siemens, Spice, Ericsson, MTS, Globacom. He has worked in hands-on technical roles to senior executive management positions and is regarded by many as an industry visionary.‘Simplexity’ (a term he coined) is the essence of his work in curating relevant ecosystems, embracing digital disruption, designing compelling solutions and delightful end-user experiences. Leading Strategic Planning, Vision & Advisory, Technology Marketing, New Business/Product Development, Industry-Academia Collaboration, Innovation Management from ‘mind- to-market’ & ‘ideas-to-impact’. He has spearheaded several innovations in the advanced as well as the grass-roots level mobile domain in mature and emerging markets. He steers his efforts on value creation via strategic business development and nurturing breakthrough concepts leading to game-changing and disruptive/radical innovation.Major focus areas are emerging smart devices with a strong emphasis on Wearable Tech/IoT, multimedia convergence, 3D Visualization, mEducation, mHealth, HNI (Human-Nature Interface) and seamless access as a part of the connected world.

He is a valued advisory board member of several organizations globally, involved with mentoring various start-ups, advising and leading select innovation projects with both small & large organizations along with teaching as adjunct faculty.

03:15 pm Panel Discussion: What works, what doesn’t
When AI + Machine Learning Goes Wrong: Case Studies of Failed AI Projects, What You Need to Prepare For
04:00 pm Networking Session & End of Day 2

 

Overview:

A unique highlight of this year’s event is that this conference will be hosted together with Machine Learning and Deep Learning Bootcamp, a unique program that will give you a comprehensive roadmap of using machine learning to automate data analysis and uncover operational efficiencies. You will also learn how to use deep learning to train neural networks and solve problems with minimal supervision. By the end of the conference and bootcamp, you will be able to demonstrate your knowledge leadership in AI and develop unique applications that will immediately deliver benefits to your organization.

Key Takeaways:

By the end of this program, participants will be able to:

  • Get up to speed on how AI, Machine Learning and Deep Learning will impact global business
  • Gain deep insight in the application of machine learning and deep learning algorithm that will drive new business opportunity
  • Review key enabling technologies including big data and computing processing
  • Explore the fundamentals of deep learning to train neural networks and use results to improve performance and capabilities
  • Look at the landscape of how Artificial Intelligence stands today, why it is gravitating towards Deep Learning and how that fits into your organization’s future
  • Embed Deep Learning in your organization’s existing technology development life-cycle
  • Understand why unsupervised learning will become far more important in the future

james-ward-112x128

James Ward
Managing Director
Epistemology

James Ward is a leading thinker and practitioner in the art of applying Artificial Intelligence to the challenges of business strategy, with a particular focus on marketing and distribution in Financial Services. He is the CEO of Epistemology, which is an AI consulting and products business.

Prior to that, he was the former Head of Analytics for IAG Satellite who developed group-wide Artificial Intelligence strategy using the power of Machine Learning, to increase IAG’s ability to keep policyholders safe while delivering beautiful customer experiences. James was also the former Senior Manager of Analytics for McKinsey & Company as well as former Director of Technology Advisory for Deloitte as an industry insider working with some of Australia’s largest Financial Services companies in Banking and Insurance, and as a fundamental academic researcher with the Key Centre for Advanced Computing Sciences.

AGENDA DAY 1
Session 1: Comprehensive Overview of AU & Machine Learning

Session 2: The Importance of Big Data Analytics

Session 3: Understanding Supervised Learning and Unsupervised Learning

Session 4: Machine Learning System Design

Session 5: Machine Learning Business Applications

Session 6: Devising a Successful Machine Learning Strategy

AGENDA DAY 2
Session 7: Transiting from Machine Learning to Deep Learning

Session 8: Understanding Deep Neural Networks

Session 9: Helping Organizations Make Business Decisions by Examining Large and Varied Data Sets

Session 10:Deep Learning Business Applications

Session 11:Devising a Successful Deep Learning Strategy

Session 12: AI and the Future of Business