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March 08, 2019, Dublin
Venue : Hilton Dublin

World Machine Learning Summit

March 08, 2019, Dublin
Venue : Hilton Dublin

World Machine Learning Summit

March 08, 2019, Dublin
Venue : Hilton Dublin

World Machine Learning Summit

Ways to convince Your Boss Ways to Save

Briefly Know About This Event

We are very excited to announce our 1st edition of World Machine Learning Summit-2019, Dublin being organized by 1point21GWs, stay ahead with us!

Our CEO Says - "1.21GWS (1point21gws), the name is inspired by the all-time hit time-travelling movie "Back to the Future". As in the movie, the protagonists required 1.21 GWs of power to move in time, this company provides the 'right' knowledge and content needed to build the world of the future."

World Machine Learning Summit is a 1 day conference in Dublin on March 08, 2019. This is a Program being curated based on guidelines from industry experts, with a target of about 75+ delegates.







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

  • 75

    Tickets

  • 1

    Day

Our Brilliant Speakers

Past Speakers

speakers

Kishore M

CEO
Future1Coin
speakers

Amie Lin

Co-Founder & Chief Executive Officer
Helios Media Design Pty Ltd
speakers

Keith Lim

Founder and CEO
Hearti Lab Pte Ltd
speakers

Jurgen Hase

CEO
Unlimit IoT Pvt. Ltd.
speakers

Sameer Sibal

Founding Partner
Jerome Merchant + Partners
speakers

Kumar Gaurav

Founder
Cashaa
speakers

Girish Nuli

Founder and CEO
CoreBlockchain.com
speakers

Dr. Harish Pant

Managing Director
Hampson Industries Pvt. Ltd
speakers

Mitchell Pham

Director - Augen Software Group & Kiwi Connection Tech Hub | Chairman
NZTech & FinTechNZ
speakers

Jan Bolhuis

Director
BLOCKCHAIN DESIGN & DEVELOPMENT, BLINK71
speakers

Adam Turner

Head of Development
NOIZ
speakers

Daniel

Founder & CEO
Token Advisors
speakers

Aftab Hasan

CEO
Arya Insurance Brokerage Co. (LLC)
speakers

Stephen Peters

Founder
Aluna
speakers

Indradi Soemardjan

Director
Anapana Pte. Ltd
speakers

Kirsten Roy-Reid

Senior Partner & Compliance Director
Next Level Consulting
speakers

Anouk Pinchetti

Business Strategy Consultant and Blockchain Educator
Intraverse Blockchain Technologies
speakers

Roux Visser

Managing Director
DOCKX PTY LTD
speakers

Paul Hadden

Chief Operating Officer - Petcoin, Cryptocurrency Specialist
Aquarius Crypto
speakers

Jason Lee

Director
NEM.io Foundation
speakers

Sarthak Moghe

Founder
TillBilly
speakers

Jag Jassel

CEO
Blockchain Experts Academy
speakers

John Bassilios

Special Counsel (Lawyer) - Financial Services, Funds Management, Fintech, Blockchain, Crypto Currencies, Blockchain Strategy - Course Mentor
RMIT Online
speakers

James Lynch

CEO
Castlecoin Blockchain Real Estate
speakers

Mark Glikson

CEO, Enterpreneur & Board Advisor
Gumbuya Inc
speakers

Anil Bandi

Managing Director & Co-Founder
Co-Create Labs
speakers

Gregory Sembelides

Entrepreneur & Bitcoin Evangelist
Bitcoin Talks
speakers

Yuan Heng Fan

Associate Partner (Senior Expert)
McKinsey & Company
speakers

SahilPuri

Specialist | Automation | Senior Analyst
McKinsey & Company
speakers

Anthony Bosisto

Principal
RPA Solutions
speakers

Amir Rozenberg

Director of Product Management
Sauce Labs

World Machine Learning Summit, Dublin (08th March, 2019)

X Topic Abstract

Artificial Intelligence will undoubtedly redefine our future. There has been an explosion of innovation in the field of A.I, which is predicted to further intensify in the coming years. Given the level of R&D investment placed in this exciting field, many companies have increased their efforts at protecting A.I related innovations. However, the majority of these companies have realised, at great expense and effort, that not all innovations can or should be protected. In this presentation, we will explore the nature of A.I innovations, how they can be protected, and provide examples of smart IP protection strategies that when correctly implemented can yield a tangible return on investment".

X Topic Abstract

Model selection and evaluation is an integral part during the construction of models. Before handling any data, there is need to understand the nature of data and best suited model for the data. Evaluation helps to find most accurate model that represents our data and how well the chosen model will work in the future. For any good prediction, there must be a generalised model for unseen sample data and model should not fail to make better prediction with future sample. Different machine learning algorithms evaluation can help to select more proficient candidate for given problem. An experimental evaluation of machine learning algorithm for the supervised learning has been done using IoT data. Different machine learning algorithms are used depend upon the use cases and evaluated degree of accuracy and performance of models for prediction, classification and regression.

X Topic Abstract

Deep learning has increased in popularity with researchers and developers investigating and using it for various use cases and applications. This research work focuses on realtime network intrusion detection by making use of deep learning. A cloud-based prototype system was developed to investigate the capability of deep learning based binomial classification and multinomial models to detect network intrusions in real-time. An evaluation study was carried out using the benchmark NSL-KDD dataset to compare deep learning models built using H2O and DeepLearning4J libraries, with other commonly used machine learning models such as Support Vector Machines, Random Forest, Logistic Regression and Na¨ıve Bayes. The results showed that the choice of the deep learning library is an important factor to consider for real-time applications. The H2O deep learning based binomial and multinomial models generally outperformed the other models, achieving over 99.5% accuracy using crossvalidation on the NSL-KDD training dataset and over 83% accuracy on the test dataset.

X Topic Abstract

A key differentiator for Microsoft Operations is being Customer Obsessed. Over 2 million email-based communications are received from over 500 Business Partners globally, in 11 supported languages. The challenge to provide a real-time and systematic feedback & categorization of Voice of the Business. The source of this data is the unstructured text of case emails from partners in multiple languages. Text Sentiment and Clustering systems are developed as key tools to gain actionable insight and Generate predictive insight of true scale of issues over time and course correct processes and offerings.

Speaker Profile

After completing a Ph.D. in Highway Engineering, Martin Perry spent 5 years in Project Management roles in the Building Materials Industry. In 2000 he moved into the Software Industry, undertaking Finance, Strategy and Senior Leadership roles with IBM and Microsoft. His current leadership role is Senior Data Professional. He is passionate about developing data and machine learning techniques to better support customers and partners.
Education remains central to maintaining relevant skills in the modern workplace. He recently completed the EDX.org hosted Microsoft Professional Program - Data Science.

schedule 09:00AM – 09:15AM Registration / Conference Overview
Nitesh Naveen, Partner & Managing Consultants - Digital Transformation, 1.21GWS
schedule 09:15AM - 10:00AM Smart strategies for protecting Artificial Intelligence innovations - Click Here for More Info
Dr. Nikos Minas, Senior Associate - European Patent Attorney | IP strategist | Technologist, MacLachlan & Donaldson
schedule 10:00AM – 10:45AM Machine Learning: Experimental Evaluation - Click Here for More Info
Pramit Kumar, Consultant ( Data & Analytics), Masters in Data Analytics (NCI), Fidelity Investments
schedule 10:45AM - 11:15AM Tea Break
schedule 11:15AM - 12:00PM Cloud-based Real-time Network Intrusion Detection Using Deep Learning - Click Here for More Info
Santhosh Parampottupadam, Data Scientist, TCS
schedule 12:00PM – 01:00PM Lunch Break
schedule 01:00PM - 01:45PM An Enterprise Listening System. Text Sentiment and Clustering Analysis with Azure Machine Learning - Click Here for More Info
Martin Perry, Senior Data Professional & Group Manager, Microsoft
schedule 01:45PM – 02:30PM Machine Learning Methods and Analysis
schedule 02:30PM – 03:15PM Innovations in Machine Learning and Deep Learning
schedule 03:15PM - 03:45PM Tea Break
schedule 03:45PM – 04:30PM Machine Learning on Source Code
schedule 04:30PM – 05:15PM Cracking Open the Black Box of Neural Networks

Conference Ticket Price & Plan

Special Offer

EUR 249

Till 15th February, 2019

Conference ticket

Tea break

Group of three or more

EUR 299

Till 8th March, 2019

Conference ticket

Tea break

Early Bird

EUR 399

Till 8th February, 2019

Conference ticket

Tea break

Standard

EUR 499

Till 8th March, 2019

Conference ticket

Tea break



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