2016年9月19日 8:00 至 2016年9月20日 17:00 ,Olygen Sdn Bhd在 吉隆坡·马来西亚吉隆坡会展中心·举办《BIGIT Technology Malaysia 2016》,会议大约有3000人参加。
由马来西亚 Olygen 私人有限公司举办,Malaysia Digital Economy Corporation (MDEC) 协办, 一年一度的BIGIT Technology Malaysia 2016将于今年 9月19日至20日 马来西亚吉隆坡会展中心 (KLCC Convention Centre)
考量了各市场的需求,Olygen特举办了这一连两天有关大数据 (Big Data) 和 数据安全 (Data Security) 的大会与展览。今年的大会主题为Data Security World Show 与4th Big Data World Show。鉴于去年的成功,大会预计今年将吸引3,000 名来自海内外的企业专才与领域精英前来参与这项活动。相信今年的活动也能办得有声有色。
BIGIT Technology Malaysia 2016 被誉为亚洲大数据节的主轴活动 (Anchor Event of the Big Data Week Asia 2016)。今年的活动阵容可谓庞大。本公司非常荣幸地邀请到多位资深的演讲嘉宾为活动助阵并且探讨市场的最新走向与大数据的发展潜力。
此活动由以下企业赞助:
主办方:Olygen Sdn Bhd
8.30am | Registration and Morning Coffee |
9.30am | Opening Remarks from the Chairperson/Emcee |
9.40am | Opening Keynote
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10.10am | Trends and Best Practices to Secure Your Government Organisation
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10.30am | A Security Architecture for Tomorrow’s Landscape
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10.50am | Increasing Awareness of A Cyber Attack and Reacting Swiftly
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11.10am | Safeguarding Critical Data in the Cloud Amidst Rising Cyber Security Threats
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11.30am | Limiting Lateral Movement and Containing Threats to Combat Sophisticated Cyber Attacks
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11.50am | Creating the Vigilant Employee in the Data Security War
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12.10pm | Assessing the Effectiveness of the Latest Technology for Preventing Data Loss in Your Organisation
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12.30pm | Lunch |
2.30pm | Next-Gen Endpoint Security: Protection, Detection and Response
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2.50pm | Managing Identity in Cloud and Big Data
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3.10pm | Effective Data Science Use Cases for Cyber Attack Detection and Prevention This session will cover case studies on the various types of cyber attacks and what was done or could be done in future, especially with the advancement of data science services available in the market. |
3.30pm | Panel Discussion This session will highlight the issues that arise from the different security requirements and regulations in Asian countries, and what are the concerns that should be addressed when working together across borders. Audience are encouraged to contribute their views and experience in this interactive discussion platform. |
4.20pm | Closing Summary |
4.30pm | End |
4th BIG DATA WORLD SHOW
Agenda Day 1: 19 September 2016
8.30am | Registration and Morning Coffee |
9.30am | Welcome Note by the Organiser |
9.35am | Opening Remarks from the Chairperson |
9.50am | Arrival of VIP |
10.00am | National Anthem, Doa Recital Opening Speech by VIP /guest of honour |
10.20am | Official Opening Ceremony – gimmick |
10.40am | Opening Address Reserved slot for Multimedia Development Corporation (MDEC) Malaysia |
11.20am | Exclusive Interview The Big Data Outlook for Asia |
11.50am | Keynote Address Amr Awadallah
Co-founder and CTO
Cloudera US |
12.10pm | Sponsor Case Study to be confirmed |
12.30pm | Lunch |
2.30pm | Keynote Address F1’s Formula to Success: Driving Efficiency to the Fast Lane’s via Big Data and Analytics
Mark Gallagher |
2.50pm | Sponsor Case Study session to be confirmed – Fusionex
Ivan Teh |
3.10pm | Embracing Open Government Data Platform in the Public Sector To Accelerate Innovation and Adoption |
3.30pm | Keynote Address Big Data as A Foundation for Broad Disruptive Innovation |
3.50pm | Panel Discussion Panelists: |
4.40pm | Closing Summary |
5.00pm | End |
Agenda Day 2: 20 September 2016 – Beyond Big Data Analytics
8.30am | Registration and Morning Coffee |
9.30am | Opening Remarks from the Chairperson/Emcee |
9.40am | Sponsor Case Study to be confirmed |
10.10am | Making the Right Investment: Maximising the Value of Customer Data with Data Analytics The banking industry is deemed to be greatly affected by the economic slowdown, learn how finance institutions are using cross-selling and up-selling insights to drive top line growth with “next best action” analytics model leading to increased profitability. The combination of internal and external data sets with applied advanced analytics techniques help to better identify and qualify target customers for increased conversion rates. This session will also discuss how targeting specific micro segments by combining various data points such as past buying behavior, demographics, sentiment analysis from social media and CRM data also improves customer engagement |
10.30am | WeChat Open Hardware Platform China’s most popular mobile messaging app moves towards Internet of Things (IOT) to allow consumers to control thir living environment through the app. |
10.50am | Sponsor Case Study to be confirmed |
11.10am | Presentation GrabTaxi: Using Machine to Predict Taxi Availability The ability to allocate search queries and planning for taxis to be in particular areas at certain timings when they are in high demand involves tremendous math. Learn how GrabTaxi uses big data algorithm model to optimise and analyse big data to meet the supply and demand chain – even before customers press the “book” button. |
11.30am | Making the Right Call: Applying Advanced Analytics for Effective Real-Time Contextual Campaigning to Reduce Churn The telecommunications industry are one of the few who holds highly comprehensive data, however are susceptible to high churn rate and price competition. Learn how the telco industry improve the quality of the network operations and provide enhanced customer service for valued customers, perform scenario-based analyses and campaign simulations in real-time using live customer and established campaign data and to gain marketing agility by creating smarter real-time promotional campaigns: pushing relevant products or services at the right place and time. |
11.50pm | Mining Big Data to Improve Clinical Effectiveness With an ageing population and management of chronic diseases, Singapore has one of the lowest fertility rates in the world and one of the fastest ageing population. Singapore succumbs to digital health to enhance its healthcare systems to meet the challenges posed by the demographic and epidemiological shift. This case study shares how the hospital managements can be more efficient with EHR. The use of precise clinical information helps improve preoperative patient care with real-time feedback, helping top management make more informed decisions to reduce operational cost and increase ROI. This digital advancement would help reduce disparities in access to healthcare and increase value by turning individuals into advocates for their own health |
12.10pm | Sponsor Case Study to be confirmed |
12.30pm | Lunch |
2.30pm | Panel Discussion The Barriers Keeping Companies From Acting Upon Possibilities Big Data Has to Offer This session aims to look into the characteristics of a data driven organisation, and what are the possible barriers that are holding companies back from adopting the big data practice. The participants in this panel will discuss about how organisations can overcome this barriers in order to optimally run big data projects. |
3.10pm | Panel Discussion Privacy vs Trust – Maintaining the Balance: Using Private Data for Public Good This session will act as a platform to discuss the issues that arise with personalisation at the expense of data privacy. It will look into the fine line of building trust and strengthening credibility to use customer data in a responsible way and customers’ level of comfort. |
3.50pm | Closing Summary |
4.00pm | End |
Agenda Day 2: 20 September 2016 – Data-Driven Businesses
8.30am | Registration and Morning Coffee |
9.30am | Opening Remarks from the Chairperson/Emcee |
9.40am | Opening Keynote How Airbnb Uses Machine Learning to Detect Host Preferences Airbnb developed a machine learning and algorithm model that infers Airbnb host preferences for accommodation requests based on past behaviour. Learn how Airbnb’s price optimisation feature would increase the host and guest matches that leads to booking conversion |
10.10am | Sponsor Case Study to be confirmed |
10.30am | Fueled by Data: Unleashing the Power of Your Data to Drive Innovation This session will uncover the types of persistent challenges of the industry that can be addressed through big data to discover new patterns and how can organisations adapt to emerging technologies for creating value from the available data |
10.50am | The Rise of Data Capital Data is now a kind of capital, on par with financial capital. And just like financial capital, having more than your competition is necessary but not sufficient. Companies will have to embrace new tactics like platform competition and network effects to create sustainable competitive advantage as their industries become ever more data-intensive. While these changes will be more intense for some businesses than others, none will be left untouched. |
11.10am | Sponsor Case Study to be confirmed |
11.30am | Optimising Delivery Routes of Lorries in Malaysia with Lean Technology The 20-person start-up will share their journey on the data driven business model to increase reliability of the transportation industry. |
11.50pm | Sponsor Case Study to be confirmed |
12.10pm | Customising E-Commerce Sites to Suit Different Cultures by Designing Relevant Market Campaigns The mushrooming of e-commerce sites has given consumers more options, however the competition increases to convert consumers to customers and to maintain customer loyalty. Dealing with different cultures, it is crucial to aggregate customer experience by identifying trends across the community. How can the personalised designing of relevant market campaigns through predictive analytics help increase customer engagement and what would this mean to your organisation? |
12.30pm | Lunch |
2.30pm | Panel Discussion The Rise of On-Demand Services in Malaysia Ubiquitous communications, freelance work forces and low transaction costs are giving rise to the on-demand companies. The presence of inexpensive computing power and sophisticated mobile devices had bred the new generation of cloud-based services of all kind. This panel brings together the new generation of young entrepreneurs to share their views. |
3.10pm | Sponsor Case Study to be confirmed |
3.50pm | Closing Summary |
4.00pm | End |
我们的演讲嘉宾:
另外还有:
- Dr Emery Jou, the Advisory Engineer of the Institute for Information Industry, Taiwan
- Prof. Sang Kyun Cha, the Director of Big Data Institute
*团体 (>3 人)可享有团体票价。
您可选择以美元(USD)支付活动的入门票。学生通行证为 USD 50, 普通通行证的票价为USD 299,中级通行证的票价为 USD 499 和 高级通行证 USD 999。