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March 19, 2021

Data Lake And Analytics Online Summit - North America

Global Online Live Conference
All time mentioned in Eastern Time (New York / Atlanta / Toronto) zone







March 19, 2021

Data Lake And Analytics Online Summit - North America

Global Online Live Conference
All time mentioned in Eastern Time (New York / Atlanta / Toronto) zone







March 19, 2021

Data Lake And Analytics Online Summit - North America

Global Online Live Conference
All time mentioned in Eastern Time (New York / Atlanta / Toronto) zone





Briefly Know About This Event

Data lakes are storage repositories with an analytics and action purpose. You can see a data lake indeed a bit like a lake, without the swans and the water. ... But you get the idea: a big data lake in essence is a storage repository containing loads of data in their raw, native format. Data lakes typically require much larger storage capacity than data warehouses.Data lakes are next-generation hybrid data management solutions that can meet big data challenges and drive new levels of real-time analytics.

Data lakes can help break down silos, enabling organizations to gain 360-degree views of information and conduct cross-department, office or regional analytics. They also enable adoption of modern technologies such as artificial intelligence (AI) and the Internet of Things.

At Data Lake and Analytics Summit, North America will bring together industry professionals and thought leaders from the field of Data Visualisation and Data Analytics to address the big data, data analytics etc questions and share best-practices in both a business-focused perspective and in a technical perspective. It will help you in understanding and implementing data visualization in your business/for your client. It will also provide an excellent opportunity to interact and network with some of the top minds.

Agenda:
Track 1 : Data Science
Track 2 : Analytics





  • 10+

    Speakers

  • 10+

    Topics

  • 100

    Tickets

  • 02

    Tracks

Conference Schedule (March 19, 2021)

Track 1 : Data Science

Timezones : New York - 11:00AM, Seattle - 08:00AM, Denver - 09:00AM, Boston - 11:00AM, Toronto - 11:00AM, Chicago - 10:00AM

X Speaker Profile

Expertise developing and driving adoption of Responsible and Ethical AI standards with emphasis on Fairness, Inclusion, Transparency, Reliability, Security, and Privacy. Implemented ethical AI program across a 5,000 person organization with standardized measures, release criteria, and incident management tools and processes.

Data Science and Data Engineering Manager in Cloud and AI Division primarily focused on graph and AI models for AI Driven Selling, Marketing, and Business Intelligence. Built algorithms for Commercial account Life Time Value (CLTV), Next Logical Product (NLP), influence detection and targeting, and seller relationship strength for B2B selling. Researched, designed, and implemented the Post Sales Monetization streams and the Business Intelligence Graph to provide the data layer for future user, device, and business entity insights driven through our ML and AI layer.

X Topic Abstract

Over the past few years, we have seen increased activity in the development of software powered applications in a range of sectors, such as autonomous vehicles, security, and data mining. As the level of investment and research effort in these fields intensifies, companies are looking to protect the rights to the Intellectual Property of their innovative solutions and algorithms to protect their technology roadmap and gain an edge over their competitors. But what are the different ways we can protect these innovations? In this presentation, we will discuss the protection of software - based innovations, discuss how to deal with A.I “inventors”, and provide examples of IP considerations that need to be considered during the product development lifecycle.

X Topic Abstract

90 percent of the data in the world has been created in the last two years, and it is projected to increase by 40 percent annually. One of the key roles of the UN and other international or regional organizations is setting principles and standards to guide collective action around the safe use of big data for development and humanitarian action within a global community and according to common norms. Artificial Intelligence technologies are seeing a huge rate of adoption across almost all the industries including the development sector. This talk covers the nuances of applying artificial intelligence to attainment of Global sustainable development goals with certain relevant use cases.

X Speaker Profile

I am data scientist and bioinformatician with nearly eight years of industrial and academic experience from various fields, including biomedical research, agriculture and finance.

X Topic Abstract

Data Science & Machine Learning | Artificial Intelligence & Big data | Introduction|History|Regulatory Aspect| Application of data science | Tools and evolving capabilities | Data | Uniqueness & challenges | Classification Algorithm

Case Study:

Predicting bank loan default | Data| Machine Learning Algorithms | Results & Discussion.

In this talk I will provide an overview of banks history, its regulatory aspects and application of machine learning in banking with real-time use case.

Speaker Profile

Deepti Gupta has done her MBA in Finance and PGPM in operation research. She has worked with KPMG and IBM and is currently working as a data scientist in the banking sector . Deepti has extensive experience in predictive modeling and machine learning with an expertise in SAS, R and Python. Deepti has authored a book on data science and machine learning and has developed data science courses, delivered data science training, and conducted workshops for both corporate and academic institutions. She has written

X Topic Abstract

Definition Purpose of Strageic planning
Current AI Use in Marketing and Financial Management
Steps in SP
Data types in SP
Data sources in SP
Datawarehouse vs Data Lake
Problems to be addresses
Our Solutions
A video on Animated description on how we do

schedule 10:45AM - 11:00AM Login / Conference Overview
Abhilasha Sinha, Director- Summits, 1.21GWS
speaker
11:00AM - 11:40AM Keynote
Serena Bellesi, Ph.D., Distinguished Data Scientist. Machine Learning and AI Program Director, IBM
schedule 11:40AM - 11:50AM Break
speaker
11:50AM - 12:20PM Ethical and Responsible AI - Click Here for More Info
Ken Johnston, Principal Data Science and Data Engineering Manager Enterprise Entity Graph and Responsible AI, Microsoft
schedule 12:20PM - 01:20PM Break
speaker
01:20PM - 01:50PM Strategies for protecting software-based innovations - Click Here for More Info
Dr Nikos Minas, Patent Attorney, IP strategist | Technologist, HMC-IP
speaker
01:50PM - 02:20PM Artificial intelligence for Global Sustainable Development Goals - Click Here for More Info
Srujana Kaddevarmuth, Board Member, United Nations Association, San Francisco
speaker
02:20PM - 02:50PM Application of AI in mature and developing markets - Click Here for More Info
Tomas Tokar, Chief Data Scientist, Wondeur AI
schedule 02:50PM - 03:05PM Break
speaker
03:05PM - 03:35PM Reshaping Banking Industry through Data Science and Machine Learning - Click Here for More Info
Deepti Gupta, Data Scientist / Author
speaker
03:35 PM - 04:05 PM AI-Driven Strategic Planning - Click Here for More Info
George B Moseley, Lecturer in Health Law and Management, Harvard School of Public Health (Boston), Visiting Professor, Strathmore Business School (Nairobi)

Conference Schedule (March 19, 2021)

Track 2- Analytics

Timezones : New York - 11:00AM, Seattle - 08:00AM, Denver - 09:00AM, Boston - 11:00AM, Toronto - 11:00AM, Chicago - 10:00AM

X Topic Abstract

We have created Next Best Offer recommendation for users. We have send the offer via App on Mobile phone.
There are various best offers for every client based on their past behavior. There are basically three best offers that every eligible user receive that are relevant for him.

Speaker Profile

20+years industry experience world-wide (Netherlands, USA, Serbia), from science& engineering (PhD in EE, UTwente NL) to marketing, business, analytics to Applied Data Science. In 2016 he started Data Science & Analytics team within marketing department of Telenor Serbia. He has been a keynote speaker and presenter to many Data Science conferences in Europe; promoting applied data science in Marketing & Business. Currently, he is as a freelance consultant on Business Convenient Analytics & Data Science.

X Topic Abstract

AI/Natural Language Processing technologies to analyze and improve voice-based interactions with customers by analyzing conversations at large scale

Speaker Profile

As Vice President of Engineering at Zillow Group, Andrei leads the teams responsible for the company’s search and discovery engines, including search science, development, infrastructure, and operations. As part of this role, he heads Zillow Group’s conversational AI efforts, which consist of initiatives around natural language processing platforms, speech analytics, call center AI, and conversational interfaces, with the goal of improving Zillow’s business and customer services using natural language processing and speech understanding.

Before joining Zillow in 2019, Andrei led search science teams within eBay and Walmart. Prior to Walmart he worked at Google and Apple, serving as a core contributor to products like Google web search, Apple Maps, Apple’s AppStore, and iTunes search engines. He previously led engineering efforts for Recruit Holdings’ AI Lab. He founded and sat on the advisory board of Ozlo, a Conversational AI startup acquired by Facebook in 2017.

Andrei earned a Doctor of Philosophy in Computer Science from The University of Manchester, United Kingdom and Master of Science Degree from the Moscow Institute of Physics and Technology.

X Topic Abstract

Speaker Profile

X Topic Abstract

Speaker Profile

X Topic Abstract

Speaker Profile

X Topic Abstract

Speaker Profile

schedule 10:45AM - 11:00AM Login / Conference Overview
Abhilasha Sinha, Director- Summits, 1.21GWS
speaker
11:00AM - 11:40AM Keynote
Serena Bellesi, Ph.D., Distinguished Data Scientist. Machine Learning and AI Program Director, IBM
schedule 11:40AM - 11:50 AM Break
speaker
11:50AM - 12:20PM Recommendation engines Click Here for More Info
Sasa Radovanovic, Business Convenient Analytics Consultant, Telenor
schedule 12:20 PM - 01:20 PM Break
speaker
01:20PM - 01:50PM Artificial Intelligence, Analytics, and NLP to improve voice-based Customer Service. Call Center and Conversational AI Click Here for More Info
Andrei Lopatenko, VP of Engineering, Zillow Group
speaker
01:50PM - 02:20PM Data to Insights to Decisions In BFSI
speaker
02:20PM - 02:50PM Feature Based Opinion Mining
schedule 02:50PM - 03:05PM Break
speaker
03:05PM - 03:35PM Industry 4.0 – Pain vs gain. Why everyone should understand this paradigm?
speaker
03:35PM - 04:05PM Democratization of AI with Augmented Analytics

Ticket Price & Plan

(Per Participant)

EARLY BIRD

USD 249

Till 20 January, 2021

GROUP OF 3 OR MORE

USD 299

Till 19 March, 2021

STANDARD PRICE

USD 399

Till 19 March, 2021

Register Your Attendance At Conference 2021

Any Question? Call: +1 908 444 0221

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, abhilasha@1point21gws.info



Bronze Sponsor



Knowledge Partner



Media Partner



Supporting Partners

                 

Our Partners

FAQs

Who can attend Data Lake and Analytics Online Summit ?
- Software developers, Tech lead, QA Testers, Automation engineer
- IT support engineer, IT Operations person, Build and Release Engineer
- Architect, Engineering Managers
- Big Data engineer, Big Data professional


Why to attend Data Lake and Analytics Online Summit ?
- Access to Full-day event
- Talks by industry experts on different aspects of DevOps, Microservices and Container
- Overview of frameworks and tools that you can adopt
- Networking opportunities with other passionate professionals from your city


What will you learn about?
Learn latest techniques and skills required for Big Data from industry stalwarts themselves. Latest trends, concepts, processes and tools to understand and acknowledge challenges in Big Data, Microservices and Containers. Meet and network with fellow DevOps 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?
Best practices while attending online conference:
Login to your system with the login detail 10 minutes prior to the start time
Should be connected to a good network to avoid interruptions.
Should be at a quiet place while taking your session.
Ensure all other windows are closed and no application is running. This will ensure good audio and video quality
Mute yourself if not expected to speak
Do ask the question via chat box to keep the session lively. You can Ask questions


Do I need to register for the event?
Yes, all conference attendees must register in advance to attend the event.