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February 23 - 24, 2023 | Bangalore

6th World Machine Learning Summit

Venue : Sterlings Mac Hotel Bengaluru
February 23 - 24, 2023 | Bangalore

6th World Machine Learning Summit

Venue : Sterlings Mac Hotel Bengaluru
February 23 - 24, 2023 | Bangalore

6th World Machine Learning Summit

Venue : Sterlings Mac Hotel Bengaluru
Ways to convince Your Boss Ways to Save

Briefly Know About This Event

6th World Machine Learning Summit is a 2 day conference will focus on technical and practical verticals including use cases around Real-time analytics, AI regulations, NLP, Machine Learning and Deep Learning.

The conference is gathering young and innovative minds, practitioners, experts to motivate and give the delegates new ways to work and achieve through data. Machine learning 2023 flourishes to see a developed and better future.

Day 1 (23 February, 2023):
Theme : Tools, APIs & Frameworks & Applications/Use Case

Day 2 (24 February, 2023):
Theme : Trending & Deep Learning

  • 20+

    Global Speakers

  • 20+

    Topics

  • 100

    Tickets

  • 2

    Days Conference

about
about


Conference Schedule (February 23, 2023)

Theme : Tools, APIs & Frameworks & Applications/Use Case

X Speaker Profile

Extensive AI/ML/Data science and platform engineering experience. PhD from IITM and 20 years in data, from distributed systems to cloud computing, big data and data science. Leading data science and platform teams for the last 10 years.

X Topic Abstract

Generative AI refers to unsupervised and Semi-Supervised algorithms that enable computers to generate new content (text,audio,video).

Speaker Profile

Data Science Leader with around 18 years of experience.

X Topic Abstract

Importance of domain knowledge and integration of it with model, Challenges of : Skewed data, missing data, incorrect data, etc.

Speaker Profile

Meru is Director of Machine Learning with Glassbeam. Where he leads team of data scientists in the areas of predictive maintenance of medical devices. Before joining Glassbeam he worked at Philips Research as a Senior Scientist. Before that, he was at Samsung Advanced Institute of Technology and GE Healthcare. Meru has move than 17 years of industry experience with more than 10 years of experience in AI with focus in healthcare domain. Meru has filed a number of patent applications and has been granted 3 patents. In addition, he has published a number of research articles in reputed conferences and journals. He holds a Master's degree in Biomedical Engineering from IIT Bombay and Bachelor's degree in Computer Science and Engineering from Visvesvaraya Technological University Belgaum

X Topic Abstract

Key takeaways :
Why is causality important and how can Graphs help with it.
Use Cases where understanding causality is as valuable as predicting outcomes.
Assess how GraphML can change the way they think about solving business problems.

Speaker Profile

Aditya leads the Data Science-AI horizontal at LatentView Analytics enabling new tech adoption and standardisation across domains. With his experience in Data Science and a knack for solving business problems, Aditya drives innovation and adoption while connecting it with real world problems.

X Topic Abstract

Operationalise Data Models

Speaker Profile

18 years in the Industry. Predominantly worked with Data Engineering, Analytics and Machine Learning

X Topic Abstract

The need for low-code tools has enabled citizen data scientists to create efficient and reusable data science solutions. As a result, low-code solutions have gained a lot of attention, plus they are easy to debug and interpret. In this session, we will understand how to build low-code solution along with demo using the free and open-source data science tool KNIME Analytics Platform.

Speaker Profile

Mahantesh Pattadkal has 5+ years of experience Data Science and completed his Master’s in Digital Engineering from OVG Magdeburg University, Germany. He is currently working as a data scientist at KNIME. The data science techniques he is interested in are machine learning, natural language processing, deep learning, predictive modeling, and business analytics. He enjoys solving data science use cases with tools/languages like KNIME, Python, SQL, Tensorflow/Keras, Pytorch, and R.

X Speaker Profile

Bastin Robins is a seasoned Data Scientist who has successfully built data products for the largest FMCGs in India and handled clients in Retail, Banking, Telecom, Social, and Government. He has developed products that have a combination of Machine Learning, Deep Learning, Neural networks, Collective Intelligence & Web Intelligence. He has published some of the most interesting research papers in the area of Data Science and Natural Language Processing and also was instrumental in building and maintaining a few open-source data science platforms. He is currently working in the areas of Collective Intelligence in Data Science and Cyber Security and is currently Head of Data Science and Ai @Cleverinsight. He has a great passion for mentoring students and is currently a visiting faculty in some of the most reputed institutions across the country. He has initiated CleverInsight Innovative Foundation and mentored budding data enthusiasts in solving problems in the area of Public Health, Agriculture, and Education using Data Science and Collective Intelligence.

schedule 09:30AM - 10:00AM Registration / Conference Overview
Atul Srivastava, Consultant, 1.21GWS
speaker
10:00AM - 10:40AM Keynote : Implementing Efficient Transformers: Applications in NLP and Computer Vision - Click Here for More Info
Vijay Srinivas Agneeswaran, Machine Learning Research Leader, Microsoft
schedule 10:40AM - 11:00AM Tea Break
speaker
11:00AM - 11:40AM Generative AI - Click Here for More Info
Abhay Ranjan, Assistant Director - DataScience, Ernst and Young (EY)
speaker 11:40AM - 12:20PM AI for Serviceability of Medical Devices - Click Here for More Info
Meru A Patil, Director – Machine Learning, Glassbeam Inc
speaker 12:20PM - 01:00PM Causal Inference using GraphML - Click Here for More Info
Aditya Kumar, Head of DataScience-AI Practice, LatentView Analytics
schedule 01:00PM - 02:00PM Lunch Break
speaker 02:00PM - 02:40PM Towards a Convenient ML Infra - Click Here for More Info
Sujay Bhattacherjee, Director, GoTo
speaker 02:40PM - 03:20PM Low Code Data Science Solutions with KNIME - Click Here for More Info
Mahantesh Pattadkal, Data Scientist, KNIME
schedule 03:20PM - 03:50PM Tea Break
speaker 03:50PM - 04:30PM Data Driven Decision Making - Click Here for More Info
Bastin Robins, CTO & Director of Decision Science, CleverInsight

Conference Schedule (February 24, 2023)

Theme : Trending & Deep Learning

X Topic Abstract

Every business is trying to make themselves sustainable and it can't happen without supporting the ecosystem around it. Lots of innovation is happening to bring sustainability to the planet and support businesses with clean next generation solutions. AI is supporting this initiative very well with some high impact deployments. We are still at the start of the curve but this technology brings confidence that the future is going to be beautiful and sustainable. Let's discuss some of these case studies where AI helped organizations build clean solutions and showed us a ray of hope.

X Topic Abstract

Forecasting in the real world, dealing with challenges with data

Speaker Profile

- Hands-on data scientist
- Creative and empathetic
- Demonstrated ability in bringing disparate teams and people together to achieve breakthrough innovation

X Topic Abstract

1. Building Data Science CoE from scratch
2. Data Science CoE maturity model
3. How to measure success and what are the pillars of success
4. Best practices of the CoE

Speaker Profile

Karthik has overall 10+ years of rich experience in the Data Science domain where he worked with companies like Mu Sigma, Infogain & Amazon. He has solved a diverse set of business problems for various Fortune 100 clients leveraging his experience in Machine Learning (ML), Text Analytics, Natural Language Processing (NLP), Deep Learning using scripting languages like SAS, R, Scala and Python.

Karthik graduated from R.V. College of Engineering (Bangalore). He started his career at Mu Sigma as a Data Scientist by building various statistical and ML models to solve business problems for over 3.5 years. He then joined Infogain as a Sr. Analytics Consultant to setup their Analytics Centre of Excellence (CoE) which he built from scratch to scale it up to 10 member team. He spent his last 5 years at Amazon as a Pricing Analytics SME and built the Analytics team which created various pricing strategies with the help of ML model. Thereafter, he was heading the Alexa AI (Knowledge) for ANZ region to help Alexa get smarter and engage better through various NLP techniques.

While working with numbers and solving business problems keeps his inquisitive soul excited at work, he thoroughly enjoys mentoring young professionals/students. Currently he heads the Data Science org at Imarticus Learning, where he built the entire Data Science org from the scratch (currently 15 members) which consists of Data Scientists, Data Science Coaches & Program Managers.

X Topic Abstract

Key Implementation takeaways to build DS CoE

Speaker Profile

Kanth is an AI CoE and Six Sigma Certified. He is an AI Consultant for various Top-MNC like Nokia, EY, Cognizant, BMW etc. Kanth delivered end-to-end AI Solutions using Machine Learning and Deep Learning on Embedded Devices. Built various AI Solutions which impacted financial gains and human effort reduction. Part of "Technical Interview" panel team for 3 Major MNC

Kanth is a Mentor who delivered AI, Machine Learning, Deep Learning, IoT, Industry 4.0 & Digital TwinCustomised Training Programs across Dubai, Malaysia, Singapore, South Africa, Sudan etc. Kanth delivered more than 100+ training for Data Scientists & AI Engineers to upgrade their skill level for upcoming projects.

schedule 09:30AM - 10:00AM Registration / Conference Overview
Atul Srivastava, Consultant, 1.21GWS
speaker
10:00AM - 10:40AM Keynote : Sustainability & AI: Next gen business - Click Here for More Info
Nitin Aggarwal, Head of Cloud AI Industry Solution Services (India), Google
schedule 10:40AM - 11:00AM Tea Break
speaker
11:00AM - 11:40AM AutoML - Click Here for More Info
Navindra Ray, Associate Director (Artificial Intelligence and Machine Learning), EY
speaker 11:40AM - 12:20PM DataOps (Data Operations)
speaker
12:20PM - 01:00PM Demand Forecasting - Click Here for More Info
Sydney Lewis, Data Science Leader
schedule 01:00PM - 02:00PM Lunch Break
speaker 02:00PM - 02:40PM Building a Data Science Center of Excellence - Click Here for More Info
Karthik C, Vice President, Head of Data Science, Imarticus Learning
speaker
02:40PM - 03:20PM Ideas of creating value with Machine learning - Click Here for More Info
Navindra Ray, Associate Director (Artificial Intelligence and Machine Learning), EY
schedule 03:20PM - 03:50PM Tea Break
speaker 03:50PM - 04:30PM Building Data Science Center of Excellence - Click Here for More Info
Rajeev Kanth, Chief Data Scientist, AI CoE, BEPEC

Conference Ticket Price & Plan

Any one day
Group of three or more

Rs 9000 + GST

Till 24 February, 2023

Any one day
Individual(Early Bird)

Rs 9000 + GST

Till 24 January, 2023

Any one day
Individual (Standard)

Rs 10000 + GST

Till 24 February, 2023



Both the Days
GROUP OF THREE OR MORE

Rs 18000 + GST

Till 23 February, 2023

Both the Days
INDIVIDUAL(EARLY BIRD)

Rs 18000 + GST

Till 23 January, 2023

Both the Days
INDIVIDUAL (STANDARD)

Rs 19000 + GST

Till 23 February, 2023



Our Sponsors

If you are looking for any of the below, we can assure this is the event for you.

1. Building brand awareness
2. Acquiring new clients or Increasing sales numbers
3. Improving brand image
4. Looking for right people
5. Networking with peers
6. Anything else - (write here)

Our deal of partnership will benefit you in following ways:

1. A complimentary slot to be a speaker billed as a Keynote
2. Placement of the sponsor’s Organisation name, a short brief about Organization and logo on the website
3. Organisation logo to be placed on all event promotional banners and flyers.
4. Mention the sponsor’s Organisation logo and name in all our posts, email campaigns, and social media posts.
5. Special Individual speaker flyer promotion on all platforms
6. Discounts to sponsor Organisation's customers willing to register for the conference.
7. Introduction of the sponsor’s Organisation to the audience on the day of conference in our Overview section
8. Full day attendance for 2 people from Organization
9. We will make continual effort to promote the sponsors Organisation both before and after the event.
10. We are flexible and open to any suggestions from you.
(write here)


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


Get your copy of Sponsorship brochure from here, fill in the details below

Any Question? Call: +61416893630


FAQs

• 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
Understand the state of development of Machine learning by exchanges, clearing houses, central counter parties and payment systems, and what it means for you.
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
Yes, all conference attendees must register in advance to attend the event.