ODSC APAC Virtual Conference | August 22 - 23rd, 2023

Big Data & Data Analytics

Learn the latest models, advancements, and trends from the top practitioners and researchers behind Data Analytics
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Data Analytics

Data Analytics has seen rapid advances in recent years. With some of the sharpest minds in data science presenting, learn the latest techniques and processes to analyze raw data, be able to automate data into mechanical processes and algorithms, and hear use-cases focusing on how  data can be used to optimize business performance.

This focus area will cover many of the techniques for drawing conclusions and insights from raw data. You’ll learn from leading experts in the field and complete the conference with an understanding of how more efficiently and accurately analyze data by demonstrating your knowledge in SQL, Python and Data Storytelling.

Some of Our Featured Big Data & Data Analytics Speakers

COO | Board MemberQosmo | Estyle

Akira Shibata, PhD

Akira is a renowned data scientist in Japan who led the growth of DataRobot Japan as CEO until June 2021. His background in entrepreneurship (Shiroyagi Corporation), strategy consulting (BCG), experimental particle physicist (LHC, CERN) gives him a unique edge to develop business potential of AI and data technologies. He has worked with over a hundred companies in deploying advanced analytics and digital transformation projects. His active podcast and blog can be found through the links.

MLOps for Musicians(Talk)

Сhief Data ScientistDeephaven Data Labs

Chip Kent

Chip Kent is the chief data scientist at Deephaven Data Labs. He holds a Ph.D. from CalTech, with decades of quantitative, mathematical, and computer science experience. Chip comes from a background in quantitative private investment, using data to make investments at Walleye Capital.

Real-time Data Science Made Easy(Talk)

Head of Data Analytics & Digital ProductsJakarta Smart City

Juan Intan Kanggrawan

Juan Kanggrawan is the current Head of Data Analytics at Jakarta Smart City. His key role is to fully utilize data to formulate public policy and to improve the quality of public services. Juan is currently working on several city-scale strategic analytics initiatives. He is actively analyzing complex, diverse and exciting urban data on a daily basis: citizen complaint/aspiration, transportation/mobility, health (COVID-19), CCTV, Open Data, weather-flood-river bank, subsidy utilization, food commodities price elasticity, etc. He is also developing and aligning a strategic partnership framework between Jakarta Smart City with other government agencies, business enterprises, research agencies, and universities.

Video Analytics & Image Processing Implementation at Jakarta Smart City’s Citizen Response Management Solution(Talk)

Deputy Dir., Sr. Lecturer, FounderUNSW Data Science Hub | Univ. of New South Wales | OmniOmics.AI Pty Ltd

Dr. Fatemeh Vafaee

Dr Fatemeh Vafaee is the Deputy Director of the Data Science Centre at the University of New South Wales (UNSW Sydney) and leads the ‘Health Data Science’ priority area. She launched and leads Artificial Intelligence in Biomedicine Laboratory (VafaeeLab.com) at UNSW and is the founder of OmniOmics.ai proprietary limited company (OmniOmics.ai) with the mission to develop and deploy AI technologies to enhance disease diagnosis and accelerate drug development. Dr Vafaee received her PhD in Artificial Intelligence from the School of Computer Science at the University of Illinois at Chicago, USA (2011) followed by 2 multidisciplinary postdoctoral fellowships at the University of Toronto, Canada, and the University of Sydney, Australia (2012 – 2017) on computational biomedicine. Dr Vafaee has a strong track record of multidisciplinary research leadership and industrial engagement. Her research has attracted over $10.5M across >12 research and industry-based project grants and has been published in top-tier journals in the field.

Big Data and Artificial Intelligence – Driving Personalised Medicine of the Future(Talk)

Head of Data SciencePortcast.io

Urvesh Devani

Urvesh, currently Head of Data Science at Portcast.io (real time predictive visibility and demand forecasting to optimize supply-chain), has more than 8 years of hands-on and 4 years of leadership experience overall across Machine Learning, Software product development, management, and cross-functional collaboration. Urvesh started his career as a software engineer at Cisco, writing and fixing protocols for firewalls and exploring use of machine learning in malware classification. He later joined noodle.ai as a Data Scientist and worked on numerous ML projects involving government, manufacturing industry, and airlines. He has spent some time mentoring Data Science Students at SpringBoard and is currently a fellow at On Deck Data Science (ODDS).

Key Performance Indicators, Visualisation Techniques and Interpretability for ETA (Estimated Time of Arrival) Prediction Models(Talk)

Senior Data ScientistCitiPower, Powercor & United Energy

Thilaksha Silva, PhD

Thilaksha Silva has obtained a Doctor of Philosophy (PhD) in Statistics from Monash University, Australia. Thilaksha is skilled in data science for electricity distribution, statistics, time series forecasting, predictive modelling and big data analytics. She is adept at advanced data analytics with 10+ years of experience and has mastered in communicating the business value across the business and engaging audience with data science on a deeper level.

Data Science in a Data Driven Energy Organisation(Talk)

Director | InstructorVerge Labs | General Assembly

Ian Hansel

Ian Hansel is a Director of Verge Labs, a company empowering businesses through Machine Learning and Artificial Intelligence. Verge Labs bridges the gap between business and cutting-edge research applications. Ian has lead data teams in corporates and believes in taking away the complexity of machine learning to show people how to use amazing technology on their own.

Building Machine Learning Apps(Tutorial)

Senior Data ScientistPortcast.io

Ghassen Chniti

Ghassen, currently data scientist at Portcast.io (real time predictive visibility and demand forecasting to optimize supply-chain), has close to four years of experience and extensive expertise in leading full-spectrum descriptive and predictive analyses towards supporting high-level decision-making.

Key Performance Indicators, Visualisation Techniques and Interpretability for ETA (Estimated Time of Arrival) Prediction Models(Talk)

Senior Data Scientist | Data Science MentorDataiku | MentorCruise

Hui Xiang Chua

Hui Xiang Chua is Senior Data Scientist at Dataiku, helping enterprises with data democratization and enabling them to build their own path to AI. Dataiku is a 2x Gartner Magic Quadrant Leader for Data Science and Machine-Learning Platforms (as of 2021).

She has both public and private experiences solving problems using data, namely over six years in the public service and two years in the media industry. She was also previously an instructor with General Assembly.

In 2017, she was accepted to the Data Science for Social Good Fellowship and was mentored by Rayid Ghani, Chief Scientist of the Obama for America campaign in 2012. For bringing data science into a high school’s curriculum, Hui Xiang was a recipient of the KDD Impact Program award by SIGKDD, the Association for Computing Machinery’s special interest group on knowledge discovery and data mining. She also runs a data science blog called Data Double Confirm that was recognised as 2018/2019 Top 100 Data Science Resources on MastersInDataScience.com.

Hui Xiang holds a B.Sc.(Sons) in Statistics and M.Sc. in Business Analytics from National University of Singapore.

The Future of AI and Machine Learning(Talk)

Customer Success Data ScientistWhyLabs

Raymond Reed

Ray is a Customer Success Data Scientist at WhyLabs, the AI Observability company. He has a long held passion for machine learning and loves helping customers save time and money by monitoring their ML systems at scale. Ray was formerly a Senior Success Engineer at Datorama, a Salesforce Company, where he drove success for large enterprise customers with a focus on improving query performance across the company. With his spare time, Ray enjoys hiking, music, and more hiking.

Monitoring CV Systems: A Unique Solution to a Unique Problem(Talk)

StudentRV College of Engineering

Rohan Maheshwari

Rohan Maheshwari is a student at RV College of Engineering in Bengaluru, India with a keen interest in Deep Learning, Natural Language Processing, Graph modelling and Machine Learning as well as their applications in finance and sentiment analysis. He has worked under the Samsung PRISM program to create a code-mixed multi-intent classification system. He has also worked with SCII to create an invoice extraction system. He is actively working with the LexisNexis® Risk Solutions HPCC Systems® team and the RV College of Engineering Centre of Excellence on Cognitive Intelligent Systems for Sustainable Solutions to investigate block data stored on the blockchain to gain insight and build relationships between transactions that can shed light on potential criminal transactions . Rohan is pursuing a Bachelor of Computer Science and Engineering at RV College of Engineering.

Analyzing Blockchain Data to Detect Illicit Transactions made Using Bitcoin(Talk)


ODSC APAC Virtual Conference - August 22-23rd 2023

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Who will attend

The Open Data Visualization Conference is where industry’s top creative minds gather to discuss and shape the most exciting trends and topics in data visualization. Whether you are a data visualization expert, or just starting your journey on better data presentation, this is the conference for you.

  • Thought leaders working in data science

  • Data visualization professionals

  • Graphic artists

  • Data scientists

  • UX designers

  • Business intelligence experts

  • Graphic designers

  • Media & publishing data storytellers

  • Startup founders and executives

Why Attend

Organizations are now understanding the need to break down big data to make it intuitive, insightfu,l and actionable. Be among the first to understand the power of data analytics.

Immerse yourself in two days of in-depth talks and workshops on data analytics and data science topics, tools, and languages.

Get full access to the full suite of recorded presentations on-demand post conference.

With an incredible lineup, this event will provide training and insight to professionals who understand their organization’s need to deliver compelling data.

Get access to the Open Data Analytics Conference plus 3 other co-located conferences including open data science, big data science, and disruptive data science.

Connect with peers and top industry professionals at our many networking events to discover your next job, service, product, or startup.

ODSC APAC Virtual Conference - August 22-23rd, 2023

Register your Interest

ODSC Newsletter

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