**POSTPONED** Big Data For Big Decisions

Innovation

31
Mar 2020

8:30 pm - 5:00 pm

Securities Commission Malaysia

Speakers : Dalbir Singh | Jaden Teo | Dr Ahmad Fazreen | M Nazri

Claimable
10 CPE

MYR 950 *Fee is not inclusive of 6% SST

KINDLY TAKE NOTE THAT THIS EVENT HAS BEEN POSTPONED FOLLOWING THE RECENT OUTBREAK OF COVID-19. 

STAY TUNED FOR DETAILS OF NEW DATE AND VENUE.

The global big data market is projected to increase to USD96 billion by 2026” – Statista 2018

With the proliferation of real-time and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The financial services industry is no exception to this trend, where Big Data has found a host of applications ranging from targeted marketing and credit scoring to usage-based insurance, data-driven trading, fraud detection and beyond. Recognising this, the Malaysian government projected the digital economy to form 20% of Malaysia’s GDP by 2020.

In light of this development, capital market infrastructure could also face major changes in the coming years as the industry moves towards more cloud-based solutions and high-quality structured data and automated reporting. Various new forms of technology such as Artificial Intelligence, robotic process automation and machine learning will be heavily incorporated as the industry begins to adopt more innovative solutions.

This programme will highlight the latest trends and applications in relation to Big Data as the scope has significantly expanded over the years. Big Data not only refers to the data itself but also various technologies that capture, store, manage and analyse large and variable collections of data in order to solve complex problems.

Programme Objective

This programme is designed to provide the latest trends and developments on how Big Data could be leveraged in creating new services, future products and customer experience to drive business growth.

Learning Outcomes

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

  1. analyse the impact of Big Data trends and developments in recent business landscape
  2. distinguish between good and bad analytics in ensuring good data governance practices
  3. explain how data and analytics could be utilized to drive successful business outcomes
  4. describe the challenges in preparing for the right talent to cater to the growth of Big Data
  5. explain how data is analysed using machine learning and artificial intelligence to stay ahead of a rapidly changing marketplaceCompetencies
Functional (Technical) – Digital Technology Application (Level 3)
Foundational (Product) – Capital Market Environment (Level 3)
Behavioural (Organisation Leadership) – Strategic Thinking (Level 3)

Target Audience

Individual 

Dealers, trading representatives, compliance, risk management Officers, fund managers, analysts, employees of PLCs, academicians, university students and employees impacted by Big Data.

Institutions 

Investment Banks, stockbroking companies, futures and options companies, fund management companies, PLCs, consultants

8.30 am Registration
9.00 am Top Trends and Future of Big Data

  • The latest trends and technologies in data analytics ecosystem
  • The impact of big data in business – Innovation to impact
  • How big data is reshaping the society

Big Data Governance

  • Who owns the data?
  • Board Roles
  • C-Suite Roles
  • Best Practices in Data Governance
  • Review of the Use Cases Compared to the Governance Issues
10.15 am Coffee Break
10.30 am Transforming the Financial Services Industry with Data Analytics

  • How data analytics disrupt the way business is conducted in the capital market
    – Use of Advanced Analytics as decision-making tools
  • Financial Technology (FinTech) innovations and challenges around big data
  • Case Studies: Customer Segmentation and Fraud Prediction
1.00 pm Lunch
2.00 pm Why (Big) Data Analytics Project Fail?

  • Why analytics project fail?
  • Key success criteria in data analytics and business intelligence projects
  • Getting ready for successful analytics projects
3.15 pm Coffee Break
3.30 pm Big Data Takeaways

  • Big Data is more than Data
  • How to avoid big data promises as a scam – make it real!
  • Lessons learned from Big Data in your organisation
  • What’s next?
    – Opportunities in machine learning
    – How AI can augment decision-making in capital markets
    – Recent career outlook and talent capacity in newly created jobs
5.00 pm End of Programme

Dalbir Singh, Vice President Innovation, DOING

He is currently the Vice President Innovation, DOING. An Entrepreneurial Technologist with years of proven strength in consultancy, strategy, innovation and technology for digital transformation in various verticals such as Government, Real Estate, Education, BFSI and Service Provider. He started off with a strong engineering background in Network and Security and with his continuous drive for growth and excellence, he evolved into being a trusted advisor to many organizations for both business and technology. His unique gift in understanding both business and technology and bridging the gap between the two has benefited many.

He is trained and experienced in Blue Ocean Strategy, Design Thinking and TOGAF. He utilizes this in his advisory and master planning engagements to create business and technology blueprints for various clients. You can count on him to blaze new trails in assisting organizations with digital transformation or in the wilderness trails that he pursues during the weekend. He is also passionate about giving back to society and he has a soft spot for the underprivileged and children with special needs.

Jaden Teo, Chief Data Scientist & Co-Founder, Quandatics Certified RapidMiner Expert

Jaden co-founded Quandatics in 2014, which focuses on developing and providing advanced analytics services and solutions to clients across a wide range of industries. Jaden
is now heading the big data analytics solution teams in Quandatics and his clientele-base includes telecommunications providers, financial institutions, retailers, plantations, government agencies, and higher education institutions across ASEAN.

Jaden began his career as an Application Engineer in TechSource Systems, the ASEAN sole distributor of MATLAB. As a consultant, he focused on technical computing areas such as data analytics, artificial intelligence, image processing, and application deployment. During this time, Jaden has assisted many engineering and research professionals to create more efficient workflows and obtain better results. In 2013, Jaden transitioned to take charge of MATLAB commercial accounts in Malaysia and Indonesia. He worked with decisionmaking executives and has established a thorough understanding on business
requirements that necessitates adoption of new technologies.

Jaden graduated from Wichita State University (USA) in 2010, with a Bachelor’s Degree in Aerospace Engineering. His primary design work in college was the design-build-fly of a radio-controlled aircraft. Other notable efforts include the Global Design Challenge, a collaborative airframe design competition sponsored by Spirit Aerosystems. The close-to-industry project management
and collaboration prepared Jaden for a jump-start in his career. Jaden is also an alumni of the Varsity Internship Program, a door-to-door book-selling summer internship in the US. Via the program, Jaden has acquired important sales, communication, and business management experience that contributed a long way toward his eventual entrepreneurship.

Dr Ahmad Fazreen Ahmad Baharuden

Dr. Ahmad Fazreen has worked in the field of business and technology consulting for more than 18 years with profound theoretical and industrial knowledge of requirements engineering and business analysis. Designed and authored few business and technology blueprints for clients in the government, retail, telecommunications, and education.

He was appointed as an Industry Panel Expert for the Universiti Teknologi Malaysia’s Advanced Informatics School and the Malaysia-Japan International Institute of Technology (MJIIT). He is currently completing his second doctorate in the area of statistical literacy within the context of business analytics.

M Nazri, President / Group CEO of MyFinB Group

Nazri specialises in AI and cognitive analytics, having spent more than two decades as a practitioner in these fields. He currently heads a venture builder company and is currently the Founder/Group CEO of one of the award winning tech companies, called MyFinB.

Regarded as one of the early pioneers to deploy AI based analytics in Asia Pacific, Nazri plays a leading role in the digital transformation for the financial sector and SME development in the region. He is also a regular contributor on AI-related topics, featured in various media platforms and spoke on the topic in various parts of Europe, Asia, Africa and Middle East.

Prior to his entrepreneurial journey, Nazri was part of the investment and research team of international asset management groups (Citigroup and Prudential) where he managed a portfolio of more than USD 5 billion in Asia Pacific (ex Japan) – before joining an international ratings agency (Fitch Ratings) where he covered regional financial institutions in Asia.

He is presently the Honorary Consul for The Republic of Cabo Verde Member, Board of Governors for Republic Polytechnic (Singapore) and Advisor to its School of Infocomm. Nazri was previously appointed as the Chairman of the Investment Committee of the Malay Heritage Foundation (a statutory body of the Singapore government) where he was also its board member.

In 2018, Nazri was named as one of the world’s top 500 prominent and influential personalities in the Islamic world and economy (A.I./Fintech category). Nazri was also awarded the Asia Pacific’s Top Young Business Leader Award in 2010 by the Ministry of International Trade and Industry.

Nazri has an MBA from University of Western Australia and a bachelor’s degree in accountancy and economics from the University of Queensland, Australia.

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