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Overview of the event

Join us in the Bangkok for “Agile Testing and Test Automation” & “Machine Learning Deep Learning Day” on 24th of January 2020.

A key trend that will sweep over to bring economies of scale, speed and intelligence will be automated testing followed by AI. We've seen a massive movement from manual to automation in the last couple of years, as manual could not handle this scale of change. Manual testing matrices are too big to approximate manually, take a long time, and are very complex to handle for applications like Uber, Snapchat, and Twitter that are scaling at the speed of light.

Agile Testing, Test Automation & Machine Learning and Deep Learning Day will help you get industry best practices in Test Automation and the latest tools and techniques to achieve it on the other hand Machine 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.



Facts & Figures About The Event

7 Speakers
7 Topics
50 Tickets

Our Past Speakers


Anna Ceberio-Verghese

Director of Enterprise Agile

NCR Corporation


Ken Johnston

Principal Data Science and Data Engineering Manager

Microsoft


Sumanta Boral

Senior Technical Program Manager

Amazon


Doug Boyce

Scrum Master & Agile Coach

T-Mobile | CSM, CPO & SA


Kevin Klinemeier

Principal

Shipshape Software


Malini K RamachandraMurthy

Senior Consultant Automation SDET

Infogain Corporation


Ross Smith

Director

Skype


Juan de Dios Delgado Bernal

Automation Testing Project Leader & QA Consultant

Mobica


Kamal Mudgal

Automation Test Engineer



Want to become Speaker Please register here Register

Conference Schedule

Agile Testing, Test Automation & Machine Learning and Deep Learning Day, Bangkok

X Topic Abstract


X Topic Abstract

Will give an overview of how to successfully implement and measure using A/B testing. With increasing use cases for ML, what is the best way to test, implement and iterate these.

Speaker Profile

Worked in public (healthcare) and private sector organisations (agoda) in Europe and Asia. Strong background in experimentation particularly in relation to operations and product. Currently Senior Manager BI at eatigo.


X Topic Abstract

What are needed in automation test for a company that release their website to end customer 8 times a day? Plus, it’s the automation that enable >200 developers (>50 scrums) working on one share product code base and allow them to get quality feedback in matter of few minutes at any time they want. It takes < hour between last line of code from developer to last server deployment in production and we are talking about big scale production (5 data centers around the world with more than 250,000 cpu core production scale)

Speaker Profile

Passionate in building the best technology to grow business. I’m almost 20 years in software testing area, first 8 year in Thomson Reuters and last 10 years in Agoda.com before founded my own Testing service company name’s Doppio Tech last months. In Agoda.com, I lead 180 multi-national technical QA engineers. Transform the team from 100% manual to 100% FAST automation. We release hourly then the automation test needs to be executed with in the matter of few minutes!


X Topic Abstract

Agile Transformations, like any other major change initiative are doomed to fail if they ignore people and organization culture.

Agile is an iterative approach to project management and software development that helps teams deliver value to their customers faster and with fewer headaches.

Instead of betting everything on a "big bang" launch, an agile team delivers work in small, but consumable, increments. Requirements, plans, and results are evaluated continuously so teams have a natural mechanism for responding to change quickly.

However this requires a mindset shift, new behaviors and a cultural shift in many parts of the organization … and there are a few challenges!

X Topic Abstract

I'll be talking about the concepts behind Generative Adversarial Networks (GANs), and how they can be applied in Data Science. GANs have been a huge advancement in Deep Learning because it allows us to generate realistic data from a few data we have. This allows us to get a high classification accuracy from a few labeled data.


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.

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

This talk provides a brief history of how development and testing has become more complex. Next the question of responsibility and accountability of teams will be explored, by looking at the model Amazon has pioneered. Then we look into the different stages of a modern development lifecycle and focus on the area of security testing. What technologies exist and what they are good for. The talk also explores common pitfalls and gotchas that should be avoided at all cost.


X Topic Abstract

Follow nine Quality steps , Risk analysis approach , Risk mitigation plan activation , Training people , using best practices , Harmonization of standards , Using Customer feedback as learning , Effective CAPA.




Our Sponsors

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Avail instant sponsorship at just USD 2000

Instant sponsorship includes
• 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

Our Sponsors


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Our Past Sponsors


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Our Speakers


Patrick Rae

Senior Manager BI

Eatigo


Prateek Srivastava

Full Stack Engineer

Agoda


Gonzague Patinier

Service and Project Management Independent Consultant

Independent


Dr. Saurabh Katiyar PhD

Deputy Director

Charoen Pokphand Group Co.Ltd


Nutdanai Wiangwang

CEO & Founder

Doppio Tech


Tanin Phongpandecha

Chief Data Officer

Data Wow Co. Ltd.


Malay Mitra

Cloud Adoption, AI And RPA For BFSI And Public Services

Mentor System


Keynote Speaker
Poomjai Nacaskul

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

SCB- Siam Commercial


Stefan Streichsbier

FOUNDER AND CEO

GuardRails


Dr.Uttam Chandra Krishna

Quality Head Asia Pacific

DSM and also Technical advisor for USFDA.



Want to become Speaker Please register here Register



Our Pricing

Group of 3 or more(Early Bird)
THB 9000 Till December 31
Group of 3 or more(Standard)
THB 9600 Till January 24
Individual(Early Bird)

THB 13000 Till December 31
Individual (Standard)

THB 16000 Till January 24




Our Testimonial



FAQs

Who can attend Agile Testing, Test Automation & Machine Learning and Deep Learning Day in Bangkok?

Agile Testing, Test Automation & Machine Learning and Deep Learning Day 2020 in Bangkok is open to anyone who has an interest in Agile, Automation Testing, Automation Frameworks or any related field.

Why to attend Agile Testing, Test Automation & Machine Learning and Deep Learning Day in Bangkok?

Following are the three key questions you and your testing organization or testing department and testing center of excellence should be solving for now: How do we as testers and testing company evolve and thrive in SMAC & IoT world?
From tooling to skilling and from strategies to fundamental values what needs to change and how? What are solutions and services available in market which I can leverage? Agile Testing, Test Automation & Machine Learning and Deep Learning Day 2020 is an attempt to seek and share answers to these basic questions.

What will you learn about?

Learn latest techniques and skills required to test disruptive technologies from industry stalwarts themselves Latest trends, concepts, processes and tools for testing in SMAC & IoT Recognize, understand and acknowledge challenges in testing emerging technologies. Meet and network with fellow testing experts from leading companies.Learn how to adapt and adopt these changes quickly and swiftly within a team and also across the enterprise.

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.