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BIGIT Technology Malaysia 2016

BIGIT Technology Malaysia 2016

2016-09-19 08:00 至 2016-09-20 17:00

吉隆坡   马来西亚吉隆坡会展中心

Olygen Sdn Bhd   

3000人

报名截止

推荐会议:DAMS2024中国数据智能管理峰会(上海)

发票类型:增值税普通发票 增值税专用发票

Olygen Sdn Bhd

BIGIT Technology Malaysia 2016

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) 盛大举行。

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: 

BIGIT Technology Malaysia 2016

 

Agenda Day 1: 19 September 2016
8.30am Registration and Morning Coffee
9.30am Opening Remarks from the Chairperson/Emcee
9.40am

Opening Keynote 
Building Data Security, Resilience and the Role of Governments

  • Emphasising the need for implementing frameworks for security standards effectively
  • Having an authority to regulate and enforce data security standards of commercial entities
  • Ensuring confidence in the security infrastructure to gain public trust
10.10am

Trends and Best Practices to Secure Your Government Organisation

  • Discovering issues of the latest data threats to the public sector
  • How these issues will affect private sectors
  • How to enhance data security within the government
10.30am

A Security Architecture for Tomorrow’s Landscape

  • Highlighting key strategies supplemented with network security tools that can discover and close vulnerabilities
  • Using intelligent metrics within continuous monitoring systems to empower greater cyber-situational
  • Determining the tools to help identify mitigating controls for potential threats
10.50am

Increasing Awareness of A Cyber Attack and Reacting Swiftly

  • Increasing cyber situational awareness
  • Supporting critical national infrastructure and managing cyber incidents
  • Techniques to change attitudes, behaviours and culture to limit exposure to threat
11.10am

Safeguarding Critical Data in the Cloud Amidst Rising Cyber Security Threats

  • Improving resilience against cyber threats and exploitation due to vulnerabilities in information systems, network and technology
  • Securing your data on attacks against virtual payment systems
  • Safeguarding vital business information against stealthier malware
11.30am

Limiting Lateral Movement and Containing Threats to Combat Sophisticated Cyber Attacks

  • Discussing the requirement for continued monitoring and vigilance
  • Reducing cyber dwell time to keep attackers out
  • Development of in depth defense (firewalls, keyboard security and vaccine development capability)
11.50am

Creating the Vigilant Employee in the Data Security War

  • Evolution of the insider threat
  • Equip developers with expansive security knowledge
  • Building a cybersecurity culture as strong as your safety culture
12.10pm

Assessing the Effectiveness of the Latest Technology for Preventing Data Loss in Your Organisation

  • Addressing security vulnerabilities that threatens organisation’s sensitive data
  • Implications of consumer mobile systems in the enterprise
  • Addressing data prevention leakage and how to avoid losing sensitive data (data encryption)
12.30pm Lunch
2.30pm

Next-Gen Endpoint Security: Protection, Detection and Response

  • What are the types of connected threat defence and modern endpoint protection?
  • Identifying and conducting forensic analysis of potential threats (inconsistencies) using real-time information
  • Develop security intelligence for defense against future attacks by disrupting threats at early stage
2.50pm

Managing Identity in Cloud and Big Data

  • The security risks involved in cloud adoption
  • Potential identity issues that may arise with cloud as a vehicle for continuous innovation
  • Effective data management to maintain integrity and secure sensitive data
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
Cross Border Privacy’s the Case for Asian Businesses and Consumers

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

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 
Propelling Malaysia’s Journey to Big Data Adoption

Reserved slot for Multimedia Development Corporation (MDEC) Malaysia

11.20am Exclusive Interview
The Big Data Outlook for Asia
11.50am

Keynote Address 
Hadoop’s Impact on the Future of Data Management
As Hadoop and the surrounding projects mature, their impact on the data management sector is growing. Amr will talk about his views on how will the impact change over the next five years, what industries will benefit most, and which technologies are at risk of displacement and encroachment.

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

  • Deploying real-time data analytics to accelerate F1 cars into the winning track
  • Combining historical data and predictive models to enable strategic decision making
  • Optimising data-driven analytics to maximise component performance 

Mark Gallagher 
Managing Director 
CMS Motor Trading (Grand Prix Motor Racing)
UK

2.50pm

Sponsor Case Study session to be confirmed – Fusionex 

Ivan Teh
Managing Director 
Fusionex
Malaysia

3.10pm

Embracing Open Government Data Platform in the Public Sector To Accelerate Innovation and Adoption
This session will demonstrate Australia’s success in publishing data to foster compatibility and interoperability by creating a methodology for public policy to transform transparency in government. Though change are often resisted especially in the Asian culture, learn how changing the culture of agencies to support the rest of the economy in building ecosystems of service delivery.

3.30pm

Keynote Address Big Data as A Foundation for Broad Disruptive Innovation  
It is said that data is a valuable asset for an organisation. However, it is only true if the collected data are put to good use. This session will dissect how organisations can use big data analytics systematically improve operations, detect trends and make quicker decisions in order to maximise the value from the data assets, technologies and tools that have been invested.

3.50pm

Panel Discussion 
Challenges and Opportunities of Adopting Big Data in Your Organisation
This session will act as a platform to discuss the benefits, pitfalls when adopting big data in your organisation, as well as the opportunities that comes with scaling up their technologies. The participants in the panel would also be discussing on how to determine the type of Big Data software suitable for oganisations. Audience are encouraged to share their views in this interactive discussion.

Panelists:
 
Mark Gallagher 
Managing Director
CMS Motor Trading (Grand Prix Motor Racing)
UK

4.40pm Closing Summary
5.00pm End
Agenda Day 2: 20 September 2016

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

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

 
Richard Benjamins 
Group Director 
BI and Big Data 
Telefonica
Spain

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:  

BIGIT Technology Malaysia 2016

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。

 

 

会议标签:

信息安全 大数据

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