Data Analytics Online Summit (Time Zone – SGT)

    Theme – Drive Pervasive Outcomes using Data

    AI, Machine Learning and Deep Learning is Re-inventing.
    Don’t get left behind.

    Data analytics is no longer the luxury of organizations with large budgets that can accommodate roving teams of analysts and data scientists. Every organization, no matter the size or industry, deserves a data analytics capability. Thanks to a convergence of technology and market forces, that’s exactly what’s happening.

    At Data Analytics Online Summit, we will be learning the latest and innovations in Data Analytics technologies, processes and tools.

    Anoop Kumar
    Vice President & Head - Business Excellence
    Philip V. Varughese
    Vice President & Global Lead – Applied Intelligence, Analytics and Innovation
    Srinivasan Rengarajan
    VP & Global Head of Data Science and Analytics
    Raja Akkireddi
    Senior Data Scientist
    Raj is a senior Data Scientist in Melbourne who has worked extensively across the Finance, Telecommunication, FMCG, Gambling and Not for profit sector. He specializes in the are of predictive modelling and the ethics frameworks in using these models. In his spare time, he still works as a university educator who still plays cricket and football, I also run volunteer tutoring programs in Collingwood and Footscray and work actively for a few charities in Melbourne these include Liberty Victoria and The Human Rights and Arts Film Festival
    Kurian George
    Executive Director & Board Member
    Kurian is a strategic Information Governance & Data Analytics leader and advisor, uplifting organisational capabilities for creating and sustaining competitive advantage for Businesses. He commenced his career at the turn of the millennium, evolving through tactical Management of Projects (certified PMP®) enabling decision support through data, direction of Transformation Programs (certified PgMP®) including Data migration and Strategic Portfolio Investments (certified PfMP®) in building Business Intelligence & Analytics capabilities. Kurian has established Data Governance and Analytics practices with continuing Product Lifecycle and Service Delivery Management, enabling Organisational Change through professional services across industries, utilising Scaled Agile Framework and is a Certified Scrum Master (CSM). An Executive MBA from Melbourne Business School has equipped Kurian with commercial acumen for Business strategy & execution. As an Executive Director and a Board member of the Melbourne Chapter of Project Management Institute, an NFP with around 1600 professional members, Kurian is a visionary devising chapter strategy and defining operations utilising data & analytics. He is passionate about Information Practice building and uplifting Enterprise governance capability by enabling organisations to leverage information assets for creating insights and thereby developing a competitive advantage in this digital age.
    Romina Sharifpour
    Manager, Analytics & AI
    Suresh Karanam
    Data Analytics & AI Practice Head – Australia & NZ
    Zak Khan
    Forecasting Data, Analytics & Systems
    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.
    Dr John Brudenell
    Chief Data Officer (CDO)
    John is currently the Chief Data Officer (CDO) at Zetaris Pty Ltd, which is a data management, analytics software company with deep expertise in data analytics, information management, virtual data warehousing and ‘big data’ technologies. In this role, John runs the data strategy, data management and data science practice in Australia and overseas for Zetaris’ clients.
    Amin Sadri
    Senior Data Scientist
    Amin is a Ph.D. qualified data scientist with years of commercial experience and a strong mathematical background who has won several national and international mathematics awards. With years of professional experience, Amin has been working on different types of data including time-series, spatio-temporal data (trajectories & GPS), card transaction data, graphs (networks), customer data, bank data, text logs, and sensor data. Currently, he is working at ANZ as a senior data scientist.
    Dr William Yeoh
    Associate Professor
    Dr William Yeoh is an associate professor at Deakin University. He is a leading researcher in business intelligence and analytics field. His research has appeared in high-tier journals and the top five information systems conferences. He is the Editor-in-Chief Emeritus of the International Journal of Business Intelligence Research. His work has been recognised with several prestigious awards, including the ICT Educator of the Year Gold Award (awarded by the Australian Computer Society ACS), internationally-competitive IBM Faculty Awards, Deakin's Vice-Chancellor Award, and Deakin Faculty Excellence in Research Award.
    Deepak Mane
    Enterprise Solution Architect
    Deepak S. Mane is a enterprise solution architect in Artificial Intelligence and Data Science domain at Tata consultancy Services . In his previous role he was Scientific Officer at Tata Research Fundamental Research (TIFR). He has published 12 papers in Conference Seminars , and has been conducting Seminar/workshop at various colleges in Maharashtra and MP under AIP/FDP activities-TCS. He's also a mentor for KreSIT, Indian Institute of Technology-Mumbai. He is currently pursuing research in Cloud computing, Performance Management, Disaster Recovery and Capacity management.
    Phil Watt
    Dr Champ Mendis
    Chief Data Scientist
    Champ Mendis is the Chief Data Scientist of Triple A Super, an adjunct lecturer, Charles Sturt University, Hony Assistant Secretary, IEEE VIC/TAS Section. He has more than 10 years of experience working in Artificial Intelligence & Machine Learning, Information Security and Computer Information Systems. He has worked in several industries, including Finance, Defence, Education, Transport, Telecom, Construction and Insurance. He had the opportunity to work for organizations such as Colmar Brunton, University of Melbourne, ACTU, DST (formerly DSTO), University of Sydney and ARRB. He holds PhD in Computing and Information Systems from University of Melbourne and was a member of one of the best research groups in AI in Australia. In his spare time, he plays Table Tennis and Chess, do cycling.

    With a mission to become truly data driven, companies make significant investment in establishing data analytics platforms but many of them fail to realise the full potential due to poorly executed strategy underpinned by ineffective organisation design. In order to embed data analytics culture at the heart of the organisation, the importance of fit-for-purpose organisational model cannot be overlooked. How do you source, retain and deploy talent? Should you go with centralised, decentralised or hybrid model? How do you build a COE to that can maximise knowledge sharing, yet operate effectively to deliver value?
    This talk helps you explore what type of model would be most effective for your organisation and how best to implement them.

    How we are leveraging user and customer first principles and building out self-serve data products and data foundations to deploy effective data analytics for business decisions.

    Artificial Intelligence (AI) systems have achieved major milestones in the past few years. Some industries have successfully leveraged AI and machine learning, proving its potential to have a tremendous impact on various aspects of humanity life, such as the detection of skin and breast cancer more reliably than trained clinicians. There is no doubt that this progress has been made possible with advances in machine learning, the amount of data available and the computational power. The successful path to explore and leverage these opportunities however, can benefit from a thoughtful design framework, guiding us through the process. We will explore the design thinking framework for a successful AI journey, from problem identification to implementation, that enables us to identify risks early on and arrive at a meaningful solution free of bias.

    In this session we will explore a list of charts categorised by their data visualization functions or by what you want a chart to communicate to an audience. While the allocation of each chart into specific functions isn't a perfect system, this session will focus on a useful guide for selecting chart based on your analysis or communication needs to make the best representation of data.

    Machine learning models are being increasingly used to make decisions that affect people’s lives. To paraphrase Uncle Ben from the Spiderman comics (even though I am a DC fan) “with great power comes great responsibility”, this is true as the models that we build can adversely or favourly affect demography’s of a population. So, to ensure that the model predictions are fair and not discriminating we need to ensure our models do not contain an inherent bias by those who design them.
    In my presentation I look to explore the idea of inherent model bias and potential strategems to tackle this issue.

    In Artificial intelligence & What They Mean for BI. Next in the beginning, may be 5 to 10 years ago, data visualization ... "Big data: The next frontier for innovation, competition, and productivity". .... The next generation of NLG, pioneered, unifies two divergent aspects of Artificial Intelligence.

    Artificial intelligence and Roboticsare hardly new,but the
    technologies have progressed substantially inrecent years. Advances
    in machine learning techniques,improvements in sensors and
    ever-greater computingpower have helped create a new generation of
    hardwareand software robots with practical applications in
    nearlyevery industry sector, especially in Banking and Financial
    sector.At present, artificial Intelligence (AI) technologies are
    increasingly being applied in the banking industry, mainly toward
    knowledge management, identity authentication, market analysis,
    customer relationship management, anti-money laundering, and risk

    But there are major challenges to decide/choose right architecture
    strategy for different application This presentation intends to talk
    about differnt architecture principles of AI&Robotics in Banking
    sector .

    Data & Analytics Leaders should consider how effective and useful data lakes will be in their overall data and analytics strategies. The key is to build data lakes for specific requirements of key user groups or analytics use cases. Failures can be avoided by reviewing the expectations of business units, availability of skills and infrastructure capabilities of the organisation.

    While the data analytics and insights have leapfrogged by many notches, are the businesses realizing the full potential of this revolution? The answer could be mixed. Business process and organization design plays a key role in enabling this which would be covered in this presentation. By making these changes, we have seen up to 10x improvements in process efficiency, cycle time and throughput using analytics.

    User adoption or product adoption is the number one goal for many product organizations. But there are many challenges that come in the way, for example, product awareness issue, complex onboarding experience, business value, and lack of continuous feedback loop from the customer. In this presentation, you will learn an easy to use framework that we applied across our customer, partner, the customer-facing team (like customer success) and product development and design teams to get the right data at the right time to make better decisions.

    Standard Price
    Till 24 July
    SGD 349
    Special Price
    Till 24 July
    INR 10000 + GST
    [contact-form-7 id="334" title="Contact form 1"]
    Leave a Comment

    Event Details