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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. about

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 : Data Science / Analytics

About 1.21GWs

1.21GWs(1point21gws.com) is a technology consulting firm based in Australia, India and Americas.

Why this unique name - 1point21gws?

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."

About Qubole

Qubole, an open data lake company, provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform offers the openness and data workload flexibility of Qubole while radically accelerating data lake adoption, reducing time to value, and lowering cloud data lake costs by 50 percent. Qubole’s Platform provides end-to-end data lake services such as cloud infrastructure management, data management, continuous data engineering, analytics, and machine learning with near-zero administration. Qubole is trusted by leading brands such as Expedia, Disney, Oracle, Gannett, and Adobe to spur innovation and to transform their businesses for the era of big data.



about
about

about

  • 10+

    Global Speakers

  • 10+

    Topics

  • 100

    Tickets

  • 1

    Day Conference





Conference Schedule (July 16, 2021)

Theme : Data Science / Analytics

( All time mentioned in New York timezone )

Timezones : New York - 09:50AM, Seattle - 06:50AM, Denver - 07:50AM, Boston - 09:50AM, Toronto - 09:50AM, Chicago - 08:50AM
X Topic Abstract

A Modern Data Strategy to help companies look at the past, present and future.

Today, organizations are becoming more data-driven by using their data to build new products, stay ahead of the competition and provide better customer experiences. As a result, data management and processing it for various stakeholders needs to be fast, automated and scalable.

Organisations currently collect and process the data in a manner that allows them to make decision making process simpler, helping them gaze the past, manage present and predict the future. Data warehouse supports analysis of operational system data for BI while data lakes support newer use cases that leverage data for machine learning, predictions, and real-time analysis. The question is: does your business need both and why?

Speaker Profile

Brian Flug, with decades of worldwide demonstrated pioneering as a Technologist, big data, analytical, distributed intelligent cloud computing, HPC, IoT wizard, HPC/ML/AI data storage, data intelligence, CAE/CAD/CAM/CFD Expertise in life sciences, medical, financial, entertainment, gaming, manufacturing, defense, DOE, DOJ, automotive and consumer goods. With success in computational solutions, from supercomputing, to cluster and grid computing, to pre & post cloud computing, research, business intelligence, scientific analytic s and engineering, simulations and animations, data sciences, distributed and parallelism computing, from Startups to IOP’s, patents, copyrights and investment funding successes, from consultant, technical sales, CTO, CDO, management, director, solution, data and enterprise architect.

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

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

Data is everywhere and lots of it. In this presentation, the author discusses the challenges of procuring data, cleansing it and derive segmentations for marketing campaigns or operational transactions to engage effectively with your customers.

Speaker Profile

Rama Ravindranathan is an innovator and technologist who solves complex healthcare business problems. Rama focuses on building the product engineering discipline to build the solutions. Rama leads technology strategy for UHG Corporate's Occupational Health and Safety solutions. Data Engineering is an essential pillar in Rama's portfolio and it plays an important role in gathering, feeding and processing it for use within transactional and business intelligence systems.

X Topic Abstract

For a long time now, an evolution of technology has been occurring. The end result of that evolution is the data lakehouse. This presentation describes that evolution.

Speaker Profile

Bill Inmon, the father of the data warehouse, has written 61 books. One book has sold over 500,000 copies and has been translated into 9 languages. Bill was named by Computerworld as one of the ten most influential people in the history of computer science.

X Topic Abstract

This evolution from centralized and golden record centric of IT mindset to business user-centric golden profiles, has resulted in the need for complementary contextual and analytical models

Speaker Profile

Siva Juluri, a Data Scientist, has over 20 years of IT experience predominantly in DATA serving across various industries. In his current role, Siva is Practice Lead for the "Data Management & Governance (DMG) for North America Clients" . He is responsible for practice vision and strategy, Customer Advisory, Thought leadership and nurturing of emerging trends and partner ecosystem management in the areas of DMG.

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.

X Topic Abstract

This talk will introduce how deep learning has been used in several use cases within the pharmaceutical space. These use cases include:

Identification of abnormal patterns for drug safety
Characterization of phenotypes in cell-based imaging
Classifying protein crystallization results

Speaker Profile

Peter Henstock is the Machine Learning & AI Lead at Pfizer. His work has focused at the intersection of AI, visualization, statistics and software engineering applied mostly to drug discovery but more recently to clinical trials. Peter holds a PhD in Artificial Intelligence from Purdue University along with 6 Master’s degrees. He was recognized as being among the top 12 leaders in AI and Pharma globally by the Deep Knowledge Analytics group. He also currently teaches graduate AI, Software Engineering, and Computer Vision courses at Harvard.

schedule 09:50AM - 10:00AM Login / Conference Overview
Abhilasha Sinha, Director- Summits, 1.21GWS
schedule 10:00AM - 10:30AM Data Lake vs Data Warehouse - Click Here for More Info
Brian Flug, Presales Solutions Architect, Qubole
speaker
10:30AM-11:00AM Keynote
Serena Bellesi, Ph.D., Distinguished Data Scientist. Machine Learning and AI Program Director, IBM
speaker
11:00AM-11:30AM Recommendation engines - Click Here for More Info
Sasa Radovanovic, Business Convenient Analytics Consultant, Telenor
speaker
11:30AM-12:00PM 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
speaker
12:00PM-12:30PM How to deliver actionable insights through data storytelling - Click Here for More Info
Rama Ravindranathan, Sr. Director of Technology, Unitedhealth Group
schedule 12:30PM-01:00PM Break
speaker
01:00PM- 01:30PM Evolution to the data lakehouse - Click Here for More Info
Bill Inmon, Founder, Forest Rim Technology
speaker
01:30PM-02:00PM MDM in the Age of Disruption - THE CHANGING ROLE OF MDM - Click Here for More Info
Sivaprasad Juluri,Sr Manager / Practice lead for Data Management and Governance , Accenture
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
speaker
04:30PM- 05:00PM Applying deep learning image understanding to drug discovery - Click Here for More Info
Peter Henstock, ML software Engineer, Pfizer

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: +61416893630

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




Platinum Sponsor

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.