X

Submit Your Talk


X

Register

slider slider slider


July 16, 2021

Data Lake And Analytics Online Summit - North America

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







July 16, 2021

Data Lake And Analytics Online Summit - North America

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







July 16, 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

Our hearts and thoughts remain with those affected by the COVID-19 outbreak worldwide. In the past months,1point21GWS has been organizing conferences on Virtual platform.

This year Data lake And Analytics 2021 will also be hosted as Virtual live conference.
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:
Theme 1 : Data Science
Theme 2 : Analytics

about

  • 20+

    Global Speakers

  • 20+

    Topics

  • 2

    Tracks

  • 1

    Day Conference

Conference Schedule (July 16, 2021)

Theme 1 : Data Science
Theme 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

Key takeaways from my session:
Most Enterprise AI use cases still fail to scale and to translate into productive solutions
Organizational change in Enterprise IT towards empowering an AI culture can help
Combining the strength of Data Scientist’s experimental approach with Software Engineering’s DevOps methods can help
Building and maintaining a firm AI Reference Architecture can help

Speaker Profile

Yannick has been working in IT and Data science for over 20 years. From his experience at major companies, software vendors and consulting firms, he has built a broad outlook on solving business problems with innovative technologies. He is convinced that the combined use of Data Science and Machine Learning along with sound software engineering is the new disruptive force for businesses and communities.
After having founded a fintech startup applying data science to combating financial crime, Yannick has joined Capgemini in 2019. He is helping Capgemini's clients to scale AI while basing on sound ethical principles.

X Topic Abstract

The newest industry disruption is the Low-Code/No-Code (LCNC) development aims to empower business users to rapidly develop codeless applications to meet their needs. The distinction between tools that were thought to be simple enough for citizen developers and powerful enough for professional development teams are disappearing. In a true IT democratization process, citizen development is helping accelerate digitization of processes at an unprecedented rate. Through real-world examples, this talk aims to highlight the LCNC trend and how it is helping with Analytics and BI. Talk also provides constructive approaches which help IT / engineering teams embrace citizen developers while eliminating the historical points of friction from “shadow IT” work.

Speaker Profile

Garima V. Sharma is a senior engineering leader at Microsoft. She is a seasoned Tech professional, keynote speaker, STEM champion, technical blogger and proponent of diversity and inclusion. She runs a global team of data engineers and scientists focussed on building world-class analytics and BI solutions and next-gen AI applications. Garima has a passion for technology and has worked in progressive companies on Cloud Computing, Big Data & Artificial Intelligence solutions. She has helped shape science and technology for mission critical software, reliability in operations and re-design of architecture all geared towards advancements in medicine, security, cloud technologies and bottom line savings for the client businesses. An enthusiastic technology and STEM blogger, she brings together her passion for tech and diversity in her professional and personal endeavors.

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

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

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

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

“Data-Driven Marketing: Framework, Role of Machine Learning and Practice.”
What are the benefits of data driven marketing? Which ML techniques are relevant to specific stages of relating with the customer? How do you convert data to actionable insights? What are the biggest challenges to achieving success? In a hyper-competitive economy, data-driven marketing is crucial to the success of a company. Come learn the strategies and ML techniques necessary to thrive in a customer-centric field.

Speaker Profile

Dr. Savitha Namuduri, Ph.D. has over 20 years of experience in Data and Analytics space, spanning over several industries such as Telecom, Utility, Retail, Healthcare and CPG. Her analytical skill sets range from developing visualizations, to customer segmentation to building predictive models and democratizing data science techniques to solve day-to-day business problems. Savitha's career has been focused on marketing analytics for the past 10 years running Analytics teams for CRM, media marketing and Customer Journey. In addition to visualization and data analysis, Savitha also focuses on providing data-driven recommendations for strategy, setting up experimental designs, conducting primary and secondary research, and developing learning plans to inform marketing and sales strategies. She brings a unique blend of business acumen and technical skill set to consult with clients on the best marketing practices and their measurement.

schedule 10:50AM - 11:00AM Login / Conference Overview
Abhilasha Sinha, Director- Summits, 1.21GWS
speaker
11:00AM-11:30AM Keynote
Serena Bellesi, Ph.D., Distinguished Data Scientist. Machine Learning and AI Program Director, IBM
speaker
11:30AM-12:00PM Software Architecture Best Practices for Enterprise Artificial Intelligence Click Here for More Info
Yannick Martel, Vice President, Artificial Intelligence & Analytics, Capgemini
speaker
12:00PM-12:30PM Democratization of data with No Code/Low Code Movement - Click Here for More Info
Garima V. Sharma, Senior Director, Data Engineering and Applied AI, Microsoft
schedule 12:30PM-01:00PM Break
speaker
01:00PM-01:30PM Recommendation engines - Click Here for More Info
Sasa Radovanovic, Business Convenient Analytics Consultant, Telenor
speaker
01:30PM-02:00PM Strategies for protecting software-based innovations - Click Here for More Info
Dr Nikos Minas, Patent Attorney, IP strategist | Technologist, HMC-IP
speaker
02:00PM-02:30PM Reshaping Banking Industry through Data Science and Machine Learning - Click Here for More Info
Deepti Gupta, Data Scientist / Author
speaker
02:30PM-03:00PM 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)
schedule 03:00PM-03:30PM Break
speaker
03:30PM- 04:00PM Natural Language Processing for optimizing business from document/item understanding to search engines to voice-based interactions and customer service. Strategic ROI-driven planning of NLP initiatives - Click Here for More Info
Andrei Lopatenko, VP of Engineering, Zillow Group
speaker
04:00PM- 04:30PM Data-Driven Marketing with Machine Learning (ML) - Click Here for More Info
Savitha Namuduri, VP, Data Science and Analytics, Zeta Global

Ticket Price & Plan

(Per Participant)

EARLY BIRD

USD 249

Till 16 June, 2021

GROUP OF 3 OR MORE

USD 299

Till 16 July, 2021

STANDARD PRICE

USD 399

Till 16 July, 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 :

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




Our Past Sponsors


FAQs

- Software developers, Tech lead, QA Testers, Automation engineer
- IT support engineer, IT Operations person, Build and Release Engineer
- Architect, Engineering Managers
- RPA engineer, RPA professional
- Access to Full-day event
- Talks by industry experts on different aspects of Machine Learning, Deep Learning, Blockchain, Robotic Process Automation, via Selenium and other test automation tool
- Overview of frameworks and tools that you can adopt
- Networking opportunities with other passionate professionals from your city
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.
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
Yes, all conference attendees must register in advance to attend the event.