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03 November, 2020
Global Online Live Conference (Time Zone - BST)

World Machine Learning Online Summit

Theme : Data Science, Deep Learning, and Algorithms
03 November, 2020
Global Online Live Conference (Time Zone - BST)

World Machine Learning Online Summit

Theme : Data Science, Deep Learning, and Algorithms
03 November, 2020
Global Online Live Conference (Time Zone - BST)

World Machine Learning Online Summit

Theme : Data Science, Deep Learning, and Algorithms
Ways to convince Your Boss Ways to Save

Briefly Know About This Event

We are very excited to announce our 3rd edition of World Machine Learning Online Summit-2020, being organized by 1point21GWs, stay ahead with us!

World Machine Learning Online Summit is a 1 day conference on 03 November, 2020. This is a Program being curated based on guidelines from industry experts, with a target of about 500+ delegates.

Theme of the Conference:
The Summit will be on what are the key challenges to improve your Machine Learning strategy and Implementation, Tools, API and Frameworks, Application/Use case & Deep Learning.







Who Should Attend :
• 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
  • 10+

    Global Speakers

  • 10+

    Topics

  • 100

    Tickets

  • 1

    Day

Conference Schedule (03rd November, 2020)

X Topic Abstract

With a mission to become truly data driven, companies make significant investment in establishing data analytics platforms but many of them fail to realise the full potential due to poorly executed strategy underpinned by ineffective organisation design. In order to embed data analytics culture at the heart of the organisation, the importance of fit-for-purpose organisational model cannot be overlooked. How do you source, retain and deploy talent? Should you go with centralised, decentralised or hybrid model? How do you build a COE to that can maximise knowledge sharing, yet operate effectively to deliver value?

This talk helps you explore what type of model would be most effective for your organisation and how best to implement them.

Speaker Profile

Zak Khan is an accomplished data analytics strategist and thought leader with deep industry experiences. He has held diverse leadership roles across many facets of Information Management domain including data strategy formulation, building data quality and governance capabilities and operations management in Data warehousing, business intelligence & advanced analytics. Zak has global consulting experiences and assisted clients across Telecommunications, Utilities and Financial services sectors to uplift data analytics capabilities in order to solve complex business problems and deliver business outcome.

X Topic Abstract

How we are leveraging user and customer first principles and building out self-serve data products and data foundations to deploy effective data analytics for business decisions.

X Topic Abstract

Artificial Intelligence (AI) systems have achieved major milestones in the past few years. Some industries have successfully leveraged AI and machine learning, proving its potential to have a tremendous impact on various aspects of humanity life, such as the detection of skin and breast cancer more reliably than trained clinicians. There is no doubt that this progress has been made possible with advances in machine learning, the amount of data available and the computational power. The successful path to explore and leverage these opportunities however, can benefit from a thoughtful design framework, guiding us through the process. We will explore the design thinking framework for a successful AI journey, from problem identification to implementation, that enables us to identify risks early on and arrive at a meaningful solution free of bias.

X Topic Abstract

In this session we will explore a list of charts categorised by their data visualization functions or by what you want a chart to communicate to an audience. While the allocation of each chart into specific functions isn't a perfect system, this session will focus on a useful guide for selecting chart based on your analysis or communication needs to make the best representation of data.

X Topic Abstract

Machine learning models are being increasingly used to make decisions that affect people’s lives. To paraphrase Uncle Ben from the Spiderman comics (even though I am a DC fan) “with great power comes great responsibility”, this is true as the models that we build can adversely or favourly affect demography’s of a population. So, to ensure that the model predictions are fair and not discriminating we need to ensure our models do not contain an inherent bias by those who design them.

In my presentation I look to explore the idea of inherent model bias and potential strategems to tackle this issue.

Speaker Profile

Raj is a senior Data Scientist in Melbourne who has worked extensively across the Finance, Telecommunication, FMCG, Gambling and Not for profit sector. He specializes in the are of predictive modelling and the ethics frameworks in using these models. In his spare time, he still works as a university educator who still plays cricket and football, I also run volunteer tutoring programs in Collingwood and Footscray and work actively for a few charities in Melbourne these include Liberty Victoria and The Human Rights and Arts Film Festival

X Topic Abstract

In Artificial intelligence & What They Mean for BI. Next in the beginning, may be 5 to 10 years ago, data visualization ... "Big data: The next frontier for innovation, competition, and productivity". .... The next generation of NLG, pioneered, unifies two divergent aspects of Artificial Intelligence.

X Topic Abstract

Artificial intelligence and Roboticsare hardly new,but the technologies have progressed substantially inrecent years. Advances in machine learning techniques,improvements in sensors and ever-greater computingpower have helped create a new generation of hardwareand software robots with practical applications in nearlyevery industry sector, especially in Banking and Financial sector.At present, artificial Intelligence (AI) technologies are increasingly being applied in the banking industry, mainly toward knowledge management, identity authentication, market analysis, customer relationship management, anti-money laundering, and risk control.

But there are major challenges to decide/choose right architecture strategy for different application This presentation intends to talk about differnt architecture principles of AI&Robotics in Banking sector .

Speaker Profile

Deepak S. Mane is a enterprise solution architect in Artificial Intelligence and Data Science domain at Tata consultancy Services . In his previous role he was Scientific Officer at Tata Research Fundamental Research (TIFR). He has published 12 papers in Conference Seminars , and has been conducting Seminar/workshop at various colleges in Maharashtra and MP under AIP/FDP activities-TCS. He's also a mentor for KreSIT, Indian Institute of Technology-Mumbai. He is currently pursuing research in Cloud computing, Performance Management, Disaster Recovery and Capacity management.

X Topic Abstract

Data & Analytics Leaders should consider how effective and useful data lakes will be in their overall data and analytics strategies. The key is to build data lakes for specific requirements of key user groups or analytics use cases. Failures can be avoided by reviewing the expectations of business units, availability of skills and infrastructure capabilities of the organisation.

Speaker Profile

Kurian is a strategic Information Governance & Data Analytics leader and advisor, uplifting organisational capabilities for creating and sustaining competitive advantage for Businesses. He commenced his career at the turn of the millennium, evolving through tactical Management of Projects (certified PMP®) enabling decision support through data, direction of Transformation Programs (certified PgMP®) including Data migration and Strategic Portfolio Investments (certified PfMP®) in building Business Intelligence & Analytics capabilities. Kurian has established Data Governance and Analytics practices with continuing Product Lifecycle and Service Delivery Management, enabling Organisational Change through professional services across industries, utilising Scaled Agile Framework and is a Certified Scrum Master (CSM). An Executive MBA from Melbourne Business School has equipped Kurian with commercial acumen for Business strategy & execution. As an Executive Director and a Board member of the Melbourne Chapter of Project Management Institute, an NFP with around 1600 professional members, Kurian is a visionary devising chapter strategy and defining operations utilising data & analytics. He is passionate about Information Practice building and uplifting Enterprise governance capability by enabling organisations to leverage information assets for creating insights and thereby developing a competitive advantage in this digital age.

X Speaker Profile

Amin is a Ph.D. qualified data scientist with years of commercial experience and a strong mathematical background who has won several national and international mathematics awards. With years of professional experience, Amin has been working on different types of data including time-series, spatio-temporal data (trajectories & GPS), card transaction data, graphs (networks), customer data, bank data, text logs, and sensor data. Currently, he is working at ANZ as a senior data scientist.

X Topic Abstract

While the data analytics and insights have leapfrogged by many notches, are the businesses realizing the full potential of this revolution? The answer could be mixed. Business process and organization design plays a key role in enabling this which would be covered in this presentation. By making these changes, we have seen up to 10x improvements in process efficiency, cycle time and throughput using analytics.

X Topic Abstract

User adoption or product adoption is the number one goal for many product organizations. But there are many challenges that come in the way, for example, product awareness issue, complex onboarding experience, business value, and lack of continuous feedback loop from the customer. In this presentation, you will learn an easy to use framework that we applied across our customer, partner, the customer-facing team (like customer success) and product development and design teams to get the right data at the right time to make better decisions.

schedule 09:00AM – 09:10AM Login / Conference Overview
Nitesh Naveen, Founder, 1.21GWS
schedule 09:10AM – 09:50AM Organisation design for Effective Data Analytics - Click Here for More Info
Zak Khan, Forecasting Data, Analytics & Systems, Australian Energy Market Operator (AEMO)
schedule
09:50AM – 10:30AM Organisation design for Effective Data Analytics at TVS motors - Click Here for More Info
Anand Das, Head of Data Science & engineering (Customer, Channels and Brands), TVS Motors
schedule
10:30AM - 11:10AM Our design thinking journey for AI - Click Here for More Info
Romina Sharifpour, Manager, Analytics & AI, Deloitte
schedule 11:10AM – 11:30AM Break
schedule 11:30AM – 12:10PM Identify different types of data visualizations and how to use them effectively - Click Here for More Info
Srinivasan Rengarajan, VP & Global Head of Data Science and Analytics, 3i Infotech Ltd.
schedule
12:10PM - 12:50PM Ethical AI and in particular model bias and how to combat that - Click Here for More Info
Raja Akkireddi, Senior Data Scientist, RUBIX
schedule 12:50PM – 01:50PM Break
schedule
01:50PM – 02:30PM Artificial Intelligence & NLG - The Next Frontier of Data Visualization - Click Here for More Info
Philip V. Varughese, Vice President & Global Lead – Applied Intelligence, Analytics and Innovation, Accenture Security
schedule
02:30PM – 03:10PM Architecture Principles of AI and Robotics applications in Banking sector - Click Here for More Info
Deepak Mane, Enterprise Solution Architect, Tata Consultancy Services
schedule
03:10PM - 03:40PM How to avoid Data Lake failures - Click Here for More Info
Kurian George, Executive Director & Board Member, PMI Melbourne Chapter
schedule 03:40PM – 04:00PM Break
schedule
04:00PM – 04:40PM Effective Machine Learning With Better Training Data - Click Here for More Info
Amin Sadri, Senior Data Scientist, ANZ
schedule
04:40PM – 05:20PM Organisation design for Effective Data Analytics - Click Here for More Info
Anoop Kumar, Vice President & Head - Business Excellence, Infosys
schedule
05:20PM – 06:00PM How we successfully laid the foundation for Data-Driven enterprise - Click Here for More Info
Manjeet Singh, Sr. Principal Product Manager, ServiceNow

Register Your Attendance At Conference 2020

Any Question? Call: +919810667556

Ticket Price & Plan

(Per Participant)

Standard Price

GBP 100

Till 03rd November, 2020

Our Sponsors

Use this opportunity to improve the visibility of your organization

Instant Sponsorship :


Avail instant sponsorship at just USD 200


Instant Sponsorship Includes :


Branding of your company as Bronze Sponsor - Company's Logo on the event page with cross link to your website.

One delegate pass.

10% discount on registration fee for any more delegate from your organization.

Introduction Via Email.

Full day attendance 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

nitesh@1point21gws.info, naveen@1point21gws.info



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