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Overview of the event

MMachine Learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn from data, without being explicitly programmed.

The "deep" in "deep learning" refers to the number of layers through which the data is transformed. Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to its original goals. In deep learning, each level learns to transform its input data into a slightly more abstract and composite representation.



Facts & Figures About The Event

7 Speakers
7 Topics
50 Tickets

Conference Schedule

Machine Learning and Deep Learning Day (06th December, 2019)
X Topic Abstract

ML/DL has bean ancillary to transformation aspiration from traditional business model to platform paradigm, we have not really seen what ML/DL could really do if we put in the driving seat, i.e. genuine AI/ML-driven business model.

Speaker Profile

Poomjai Nacaskul received his Bachelor of Arts degree in Physics and Economics, a double major, from Case Western Reserve University in 1992, a Master of Science degree in Operations Research, with Finance Minor, from Weatherhead School of Management in 1993, and a Doctor of Philosophy from Imperial College London in 1998. Whilst at Imperial, he also interned as Quantitative Analyst at the Chemical Bank’s Quantitative Research and Trading unit, where he developed object-oriented evolutionary optimisation programme for the ‘prop desk’ to explore intraday foreign-exchange trading.

Upon graduation from Imperial College in 1998, Poomjai immediately began his career as an Investment Officer with the Bank of Thailand’s International Reserves Management team, later on establishing the bank’s first Quantitative Models and Financial Engineering team, eventually graduating to the Principal Researcher position with the Bank of Thailand’s Monetary Policy Group. At the Bank of Thailand, Poomjai researched and developed in cutting-edge areas, from Relative Numeraire Risk in Multi-Currency Portfolio to Copula Modelling in Pricing Credit Derivatives and Eigenvector Centrality Analysis of Systemically Important Financial Institutions .

Poomjai joined Siam Commercial Bank as Head of the Credit Risk Analytics Department in 2013 and subsequently created the bank’s first Quantitative Models and Enterprise Analytics unit, which itself was merged into the bank’s Business Intelligence/Data Analytics function in 2017, and became one of the bank’s first dedicated Lead Data Scientists. He recently left Siam Commercial Bank to work on proprietary AI-driven algorithmic trading programme.

Apart from risk management, quantitative finance, machine learning, and data science, Poomjai has keen research interest in Sufficiency Economy Philosophy, Global Sustainable Development, and Circular Economy initiatives.


X Topic Abstract

While virtually every industry is embracing AI, it's the sectors that are stymied by well-worn processes and regulations. Many companies are realizing the importance of catching up to AI technology. So what industries are using AI, and what ones are likely to be disrupted by it. Lets discover few major industries — that are experiencing disruption.

Speaker Profile

Saurabh Katiyar, A Doctorate in Artificial Intelligence is a Technology Thought Leader is digital expert with nearly 25 years of experience in Industry from Retail, Manufacturing and Distribution, Agriculture and Processing, Telecommunications, Banking and Insurance.

He had rich exposure and insight to broad range of technologies like Cloud, Digital, Mobility, Applications, Automation, Data Analytics, IoT, Artificial Intelligence, Predictive Learning, DevOps, Cyber Security, Robotic, Block Chain etc and had managed large business and technology transformation projects for enterprise customers across multiple Industries namely Insurance, Banking, Manufacturing, Travel and Retail.

As a thought leader , Saurabh regularly addresses audiences at global summits, national or state conferences, special lectures and briefings, public events, conferences to share his insight on innovative technologies, emerging technologies, Digital Technologies like Blockchain, Robotics Process Automation ( RPA ), Development to Operations System and Process Automation (DevOps), Artificial Intelligence (AI), Cognitive Learning , Business Process Automation (iBPM) etc.

Saurabh has been invited to various technology initiatives directly or indirectly supported by Government of India namely in 2018-19 namely -

- Awarded and accredited for “Continued support and contribution to the Startup ecosystem in India” Startup Buddy India , Atal Innovation Mission , an Initiative supported by Prime Minister Sri Narendra Modi Office and other ministries namely, Minister of Commerce and Industry Sri. Suresh Prabhu, Piyush Goyal Office, Minister of Railways and Prestigious Education Institutions like BIMTECH-Birla Institute of Management Technology, Goa Institute of Management.

- As a part of India Vision Blockchain 2030, The first edition in Vision Blockchain 2030, Blockchain Summit India 2019 took place at IIM Lucknow (Noida Campus) on 22-23 February 2019. The initiative has started with a vision to bring full transparency in Governance and a flourished economy for India in coming 10 years. Saurabh is Invited by Indian Institute of Management Lucknow and Government of India for a Panelists Discussion to provide recommendations on “Aadhaar on Blockchain, a potential solution for continued innovation” initiative overall presided by Dr Harsh Vardhan, Minister of Information and Technology and Mr. Suresh Prabhu Minister of Commerce and Industry.

- Participate in Panel Discussion Headed by General V.K.Singh, Minister on Recommendations to “Strengthening National Cyber Security Policies in view of Aadhar leakage” , “Role of Pravasi Bhartiya Yuva in India’s Growth” during Pravasi Bhartiya Divas 2019, Varanasi India organized by Minister of External Affair, Government of India.

- Other Thought Leader Speaker Sessions:

• International IoT Conference, Malaysia 2018
• Global Robotics Process Automation Summit Bangkok 2018
• Asia Digital Society Summit 2018
• Global DevOps Summit Bangkok 2018
• Global DevOps Conclave Bangalore 2019
• World Citizen Summit Bangkok 2019
• Guest of Honor to Doctoral Award Ceremony of Commonwealth University 2019
• Guest Speaker at by Ministry of Israel, Smart Water Conference Bangkok.
• Guest Speaker at by Ministry of Finland Conference on Power Management, Bangkok.

He is currently based in Bangkok Thailand from more decade and currently serving at Senior Executive Management level of Large Multinational managing Research and Development for Digital Transformation Initiatives.

X Topic Abstract


X Topic Abstract

Call center is like double-edged swords, it is one of the preferred channel but also a high cost channel. Machine learning and analytic can help reducing the call entered to this channel, significantly reducing the cost and increasing both call agents and customers satisfaction. Furthermore, it can help to improve the product to suit the customers' needs.


Speaker Bio

Satsawat joined Siam Commercial Bank as AVP, senior data scientist and is responsible for leading, developing and executing the call center analytic initiatives. Before joining Siam Commercial Bank (SCB), Satsawat worked in consulting and telecommunications industries. He has proven records in delivering values both realized benefit and unrealized benefit by using analytics and machine learning to drive the business. When Satsawat was in dtac, he used advance analytic techniques to identify the opportunity and recommend the new product concept for prepaid subscribers. Satsawat received his Bachelor of Engineering degree in Computer Engineering from KMUTT in 2009, and Master of Science in Management from Exeter University in 2010. Satsawat has keen interest in developing free education platform for Thai students in rural areas.

X Topic Abstract

Emotional understanding is the key factor of conversational agents or chatbot. However, while most of the chatbot is focusing to understand the propose (or intent) of users’ message, there is a lack of emotional understanding. In this work, we propose the framework that can generate the right response not only in terms of content but also appropriate emotion for chitchat (small-talk) chatbot.

X Topic Abstract

Machine Learning (ML) has been one of the top tech new topics in recent months and is now being widely applied to businesses. ML has the ability to compute vast quantities of data and to collect metrics while developing more intelligent algorithms that will be able to perform complex tasks. Organizations are investing in taking machine learning and AI to evolve into a deeper evolution of data analysis and access where humans and machines co-exists. Where real-time intelligence for complex decision-making is crucial for businesses today, that forecasting the performance of the markets in future years will be best accomplished with ML over human force. Let’s look at how ML can fuel and add power to knowledge-intensive Systems and Applications to greater scale. Thus delivery more value to the ecosystem.

Our Sponsors

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• Branding of your company as Bronze Sponsor – Company's Logo on the event page with cross link to your website.
• One Speaking Slot (45 min -non sales talk).
• 10% discount on registration fee for any delegate from your organization.
• Full day attendance at the event with lunch
• 1 x Roll up stand / Brochure distribution at the event
• Online Interview post of your company's senior executive at our media portal

For Silver, Gold Platinum & Titanium Sponsorship opportunites, please request for Sponsorship Brochure via email at contact@1point21gws.com, naveen@1point21gws.info

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Our Speakers


Yongyos Kaewpitakkun, Ph.D

Data Scientist | NLP Scientist

Pordeekum.ai


Keynote Speaker
Poomjai Nacaskul

Ex-FSVP, Lead Data Scientist/Head of Credit Risk Analytics

SCB- Siam Commercial


Satsawat Natakarnkitkul

Senior Data Scientist, AVP

SCB- Siam Commercial Bank


Malay Mitra

Cloud Adoption, AI And RPA For BFSI And Public Services

Mentor System


Vinol Joy D’souza

Vice President - Analytics

Eatigo


Korakot Chaovavanich

Head of Telco AI

True Digital Group


Dr. Saurabh Katiyar PhD

Deputy Director

Charoen Pokphand Group Co.,Ltd.

Want to become Speaker Please register here Register

Our Pricing

Group of three or more(Early Bird)

THB 9000

Till November 06
Group of three or more(Standard)

THB 9600

Till December 06
Individual(Early Bird)

THB 13000

Till November 06
Individual(Standard)

THB 19000

Till December 06


Our Testimonial

FAQs

Who can attend Machine Learning and Deep Learning Day in Bangkok?

• Data Engineers/Developers / Scientists
• Analytics Professionals
• Startup Professionals
• Scientists/Researchers
• Professors
• President/Vice president
• Chairs/Directors

And last but not the least……….
Anyone interested in Machine Learning & thrives to make the future developed and better

Why to attend Machine Learning and Deep Learning Day in Bangkok?

Understand the state of development of Machine learning by exchanges, clearing houses, central counter parties and payment systems, and what it means for you.

What will you learn about?

Detecting where underlying problems and frictions exist in your organisation that will be alleviated by Machine learning technologies. Using Machine learning as a tool for innovation across your organisation

Are there any prerequisites to attend this program?

No

Do I need to register for the event?

Yes, all conference attendees must register in advance to attend the event.