Name: 3rd Annual Big Data & Analytics West Summit
Start: 09/11/2022 03:30 PM +00:00
End: 11/11/2022 02:00 AM +00:00

Generative AI and language model services, such as Azure OpenAI Service, are enabling customers to use and create everyday AI experiences that are reinventing how employees spend their time. Powering organization-specific AI experiences requires a constant supply of clean data from a well-managed and highly integrated analytics system. But most organizations&rsquo; analytics systems are a labyrinth of specialized and disconnected services.&nbsp;&nbsp;
Introducing Microsoft Fabric - an end-to-end, unified analytics platform that brings together all the data and analytics tools that organizations need. Fabric integrates technologies like Azure Data Factory, Azure Synapse Analytics, and Power BI into a single unified product, empowering data and business professionals alike to unlock the potential of their data and lay the foundation for the era of AI.

Microsoft Azure

SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Together we can make data do amazing things.&nbsp;
SAS est le leader mondial de l&rsquo;analytique depuis 1976
SAS accompagne plus de 80 800 entreprises priv&eacute;es, institutions publiques, centres de recherche et universit&eacute;s dans 150 pays dans le monde pour exploiter les donn&eacute;es relatives &agrave; leurs activit&eacute;s, pour comprendre les comportements clients, fournisseurs, pr&eacute;dire les demandes futures, anticiper les d&eacute;faillances, octroyer des cr&eacute;dits, piloter les risques, combattre la fraude et les crimes financiers, analyser les menaces cyber, superviser la gestion des achats, des ressources humaines et accompagner le pilotage des ressources de sant&eacute; dans toute sa cha&icirc;ne de valeur. Ce n&rsquo;est pas pour rien que 88 des 100 premiers de la liste Fortune 500 de 2021 sont des clients de SAS.

The Alteryx Analytics Automation Platform delivers end-to-end automation of analytics, machine learning, and data science processes that accelerate digital transformation. Develop faster results, deeper insights, better decisions, and ultimately, a cultural shift where anyone can drive business outcomes through self-service analytics and data science.

Alteryx

From smartphones to connected cars, location data is changing the way we live and the way we run businesses. Everything happens somewhere, but visualizing data to see where things are isn&rsquo;t the same as understanding why they happen there. CARTO is the world&rsquo;s leading cloud native Location Intelligence platform, enabling organizations like TELUS, Groupe Dynamite, CIBC and the NHL to use spatial data and analysis for more efficient delivery routes, better behavioral marketing, strategic store placements, and much more.
Data Scientists, Developers, and Analysts use CARTO to optimize business processes, and predict future outcomes through the power of Spatial Data Science.

CARTO

Cloudera delivers a hybrid data platform with secure data management and portable cloud-native data analytics. We empower people to transform complex data anywhere into actionable insights faster and easier, enhancing their businesses and exceeding their expectations. Cloudera is leading hospitals to better cancer cures, securing financial institutions against fraud and cyber-crime, and helping humans arrive on Mars &mdash; and beyond. &nbsp;Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for companies around the world, making data and analytics easy and accessible for everyone.

Cloudera

Denodo est un leader en gestion des donn&eacute;es. La solution prim&eacute;e Denodo Platform est la plateforme leader en mati&egrave;re d'int&eacute;gration, de gestion et de livraison des donn&eacute;es, gr&acirc;ce &agrave; une approche logique pour permettre la BI en libre-service, la data science, l'int&eacute;gration des donn&eacute;es hybride/multi-cloud et les services de donn&eacute;es m&eacute;tiers.&nbsp;
Les clients de Denodo, des moyennes et grandes entreprises dans plus de 30 secteurs d'activit&eacute;, ont obtenu un ROI de plus de 400 % et r&eacute;alis&eacute; des millions de dollars de b&eacute;n&eacute;fices en moins de 6 mois. Pour plus d'informations, visitez <a href="https://www.denodo.com/fr">www.denodo.com/fr</a>.&nbsp;
Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self-service BI, data science, hybrid/multi-cloud data integration, and enterprise data services.&nbsp;
Realizing more than 400% ROI and millions of dollars in benefits, Denodo&rsquo;s customers across large enterprises and mid-market companies in 30+ industries have received payback in less than 6 months. For more information, visit <a href="http://www.denodo.com">www.denodo.com</a> or call +1 877 556 2531 or email: info.ca@denodo.com

Denodo Technologies Corporation

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world's most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world. For more information about IBM visit: <a href="http://www.ibm.com/">www.ibm.com</a>.&nbsp;
IBM est le leader mondial de la transformation organisationnelle avec sa plateforme infonuagique hybride ouverte et l&rsquo;IA, et elle dessert des clients dans plus de 170 pays. Aujourd&rsquo;hui, 47 des entreprises sur la liste Fortune 50 comptent sur IBM Cloud pour g&eacute;rer leurs activit&eacute;s et I&rsquo;IA pour l&rsquo;entreprise d&rsquo;IBM Watson est utilis&eacute;e dans plus de 30 000 mandats. IBM est aussi une des plus indispensables organisations de recherche pour les entreprises, forte de 28 ann&eacute;es cons&eacute;cutives comme chef de file en mati&egrave;re de brevets. Guid&eacute;e par les principes de confiance, de transparence et de soutien pour b&acirc;tir une soci&eacute;t&eacute; plus inclusive, IBM s&rsquo;engage &agrave; &ecirc;tre un innovateur technologique responsable et une force oeuvrant pour le bien dans le monde. Pour en savoir plus : www.ibm.com.

Keboola is a next-gen data platform as a service. It simplifies and accelerates data engineering so companies get better results from their data operations. Keboola enables data engineers, analysts, and engineers to collaborate on analytics and automation as a team, from extraction, transformation, data management, and pipeline orchestration to reverse ETL. Keboola provides a cloud-based data integration platform to support the entire workflow, from data extraction, cleaning, warehousing, and enrichment, to ML-based predictions and loading. The platform is highly collaborative and solves the most significant hurdles of "IT" based solutions. Try us out! You will love the experience :)

Keboola

Adastra transforms businesses into digital leaders. Since 2000, Adastra has been helping global organizations accelerate innovation, improve operational excellence, and create unforgettable customer experiences, all with the power of their data. By providing cutting-edge Artificial Intelligence, Big Data, Cloud, Digital and Governance services and solutions, Adastra helps enterprises leverage data that they can control and trust, connecting them to their customers &ndash; and their customers to the world. Adastra North America has offices in Toronto, Calgary, Ottawa, Miami, and Los Angeles. &nbsp;

Adastra

CITTABASE Solutions, specialists in BI and Data Analytics, performs data-centric vocation with an expert team of consultants. Data Integration, Data Management, Data Warehouse, Data Stores, Business Intelligence and Data Analytics are some of our playing fields where we thrive and excel. We help our clients make informed decisions by providing timely, accurate and actionable information by unraveling the hidden facts from their pile of data which are scattered around many systems. in Data Warehousing, BI Applications and EPM Implementations. CITTABASE, having its base in Singapore and footprints in North America, intends to cater to the growing need of BI requirements in Asia Pacific and North America

Cittabase

Since 2008, Collibra has been uniting organizations by delivering trusted data for every use, for every user, and across every source. Our Data Intelligence Cloud brings flexible governance, continuous quality and built-in privacy to all types of data. The Global 2000 relies on Collibra to create the critical alignment that accelerates workflows and delivers better results faster. &nbsp;

Collibra

ALL SESSIONS  &nbsp; 8:20 AM OPENING COMMENTS FROM YOUR HOST &nbsp; 
Gain insight into today&rsquo;s sessions so you can get the most out of your conference experience and maximize your value.  &nbsp; Scott Taylor, The Data Whisperer&nbsp;  &nbsp; 8:30 AM: KEYNOTE PANEL: TOOLS TO BUILD A DATA-DRIVEN CULTURE&nbsp; LEVERAGING PROCESSES AND METHODS TO CULTIVATE A DATA-DRIVEN CULTURE WITHIN YOUR ORGANIZATION&nbsp; Andrea Hanley, Director of Data and Analytics, Calgary Airport Authority&nbsp; Melisa Albas, Director of Enterprise Insights, First West Credit Union&nbsp; Andrew Hall, Vice President, Data &amp; Analytics, Canada Drives Group&nbsp; Moderator- Mark Lowerison, Co-Founder and Chief Technology, B153 Ltd&nbsp; &nbsp; 9:00 AM INDUSTRY EXPERT: EVOLUTION OF GOVERNANCE &nbsp; EXPLORING THE FUTURE OF GOVERNANCE&nbsp; Kimberly Nevala, Director of Business Strategies, SAS Best Practices &amp; Advisory Business Solution Manager, SAS&nbsp;  &nbsp; 9:30 AM: CASE STUDY: HEALTHCARE NLP&nbsp; HEALTHCARE APPLICATIONS WITH NATURAL LANGUAGE PROCESSING&nbsp; Raymond Ng, Director of Data Science Institute, Canada Research Chair in Data Science and Analytics, University of British Columbia&nbsp; &nbsp; 10:00 AM INDUSTRY EXPERT: INTELLIGENT DATA PLATFORM&nbsp; MODERN GOVERNANCE AND ANALYTICS AT SCALE WITH MICROSOFT INTELLIGENT DATA PLATFORM &nbsp;&nbsp; Jeeva Akr, WW Leader, Cloud Scale Analytics, Microsoft&nbsp; &nbsp; 10:30 AM MORNING BREAK  &nbsp;
<ul>
<li>Engage with conference speakers and fellow attendees&nbsp;</li>
<li>Secure new business contacts and discuss crucial developments in data analytics&nbsp;</li>
<li>Experience live demos and test drive new technology&nbsp;</li>
</ul>
&nbsp;
11:00 AM KEYNOTE CASE STUDY: DIGITAL TRANSFORMATION&nbsp; DATA ISN'T ALL ABOUT AI...IT&rsquo;S ABOUT CULTURE AND INNOVATION&nbsp; Ryan Hum, CIO &amp; VP of Data, Canada Energy Regulator&nbsp; &nbsp; 11:30 AM DATA STRATEGY&nbsp; RECOVERING YOUR DATA AND ANALYTICS FUNCTION AFTER COVID&nbsp; Karen Beckmann, Senior Director, Information Technology, Rocky Mountaineer&nbsp; &nbsp; 12:00 INDUSTRY EXPERT: DATA VIRTUALIZATION&nbsp; ENABLING A DATA MESH WITH DATA VIRTUALIZATION&nbsp; David Kerner, Regional Vice-President and General Manager, Denodo Canada&nbsp; &nbsp; 12:40 PM NETWORKING LUNCH &nbsp;
<ul>
<li>Expand your network and make connections that last beyond the conference&nbsp;</li>
<li>Visit the exhibitor hall and pose your toughest questions to leading solution providers&nbsp;</li>
<li>Enjoy great food and service while engaging with your data colleagues&nbsp;</li>
</ul>
&nbsp;
1:55 PM AFTERNOON KEYNOTE: DATA FOR YOUR BENEFIT&nbsp; HOW CREDIT UNIONS ARE FLIPPING THE SCRIPT ON THE USE OF DATA&nbsp; Jeremy Coughlin, VP of Enterprise Analytics, Coast Capital Savings Federal Credit Union&nbsp; &nbsp; 2:25 PM INDUSTRY EXPERT: ALTERYX&nbsp; ANALYTICS FOR ALL, ALL FOR ONE &ndash; THE FOUR COMPONENTS OF ENTERPRISE ANALYTICS&nbsp; Chris Smallwood, Manager, Solutions Engineering, Alteryx &nbsp;
&nbsp;
3:05 PM AFTERNOON BREAK &nbsp;
<ul>
<li>Engage with conference speakers and fellow attendees&nbsp;</li>
<li>Secure new business contacts and discuss crucial developments in data analytics&nbsp;</li>
<li>Experience live demos and test drive new technology&nbsp; </li>
</ul>
&nbsp;
3:40 PM INDUSTRY EXPERT: CARTO&nbsp; THE RISE OF THE CLOUD NATIVE SPATIAL ANALYSIS&nbsp; Eva Adler, Data Scientist, CARTO&nbsp; &nbsp; 4:10 PM CASE STUDY: DATA MONETIZATION&nbsp; DATA MONETIZATION THROUGH SCALABLE AI: PRACTICAL LESSONS LEARNED FROM THE PURSUIT OF BUZZWORDS &nbsp;&nbsp; Ian Hargreaves, Managing Director of AI, ATB Financial&nbsp; &nbsp; 4:45 PM CLOSING COMMENTS FROM YOUR HOST   &nbsp; Review the key solutions and takeaways from today&rsquo;s sessions. Source a summary of action points to implement in your work. Discuss tomorrow&rsquo;s highlights!  &nbsp; Scott Taylor, The Data Whisperer&nbsp;  &nbsp; 5:00 PM EVENING RECEPTION &nbsp; Don&rsquo;t miss this chance to connect with speakers, attendees and sponsors! Unwind, mingle and build relationships that will benefit you in the years to come.   &nbsp;  &nbsp; 5:45 PM CONFERENCE DAY 1 ADJOURNS &nbsp;

Andrew Hall

Mark Lowerison

Chris Smallwood

Ian Hargreaves

Andrea Hanley

Melisa Albas

Jeeva Akr

Jeremy Coughlin

Karen Beckmann

Kimberly Nevala

Ryan Hum

Scott Taylor

David Kerner

Eva Adler

Raymond Ng

Big Data & Analytics West Summit 2022 - Day One

LEVERAGING PROCESSES AND METHODS TO CULTIVATE A DATA-DRIVEN CULTURE WITHIN YOUR ORGANIZATION&nbsp; Organizations have lofty goals to use data to drive customer insights and product strategy. Having access to data is one challenge, but what to do with that data is another. Successfully adopt a data-driven culture by effectively utilizing data as part of your team&rsquo;s everyday rhythm. Gain insights on how to:&nbsp;
<ul>
<li>Utilize different methods, such as automated insights, to grow a data-first mindset&nbsp;</li>
<li>Accelerate product strategy development&nbsp;</li>
<li>Improve customer experience &nbsp;</li>
</ul>
Share real-world experiences with your organization to help develop a data-driven culture.&nbsp; &nbsp; Andrea Hanley, Director of Data and Analytics, Calgary Airport Authority&nbsp; Melisa Albas, Director of Enterprise Insights, First West Credit Union&nbsp; Andrew Hall, Vice President, Data &amp; Analytics, Canada Drives Group&nbsp; Moderator: Mark Lowerison, Co-Founder and Chief Technology, B153 Ltd&nbsp;

KEYNOTE PANEL: TOOLS TO BUILD A DATA-DRIVEN CULTURE

EXPLORING THE FUTURE OF GOVERNANCE&nbsp; Data and analytics practices continuously evolve. But are different forms of governance required? From artificial intelligence (AI) to the data mesh, explore if and how your governance program needs to adapt. This keynote will address:&nbsp;
<ul>
<li>Governance requirements of emerging tech &nbsp;</li>
<li>What governance practices will go the distance&nbsp;</li>
<li>New mindsets and requirements to address&nbsp;</li>
</ul>
Discover new forms of data governance and adapt your program.&nbsp; &nbsp; Kimberly Nevala, Director of Business Strategies, SAS Best Practices &amp; Advisory Business Solution Manager, SAS&nbsp;

INDUSTRY EXPERT: EVOLUTION OF GOVERNANCE

HEALTHCARE APPLICATIONS WITH NATURAL LANGUAGE PROCESSING&nbsp; Unstructured documents often come with embedded structured data. Representing valuable and structured information as tables is popular in health, financial, and many domains. However, manual extraction of structured information from documents typically costs tremendous time and labor, motivating the need for a system for automating the process. After such tables have been extracted, the data can be used for a wide variety of tasks such as question answering and various &ldquo;down-stream&rdquo; analytics tasks. In this talk, we will discuss how to leverage groundbreaking pre-trained language models to develop tools for automated table extraction from various types of documents. We will present different applications from cancer registry reporting, cancer care, to psychiatry hospitalization prediction and waste management from mineral mining.&nbsp; &nbsp; Raymond Ng, Director of Data Science Institute, Canada Research Chair in Data Science and Analytics, University of British Columbia&nbsp;

CASE STUDY: HEALTHCARE NLP 

MODERN GOVERNANCE AND ANALYTICS AT SCALE WITH MICROSOFT INTELLIGENT DATA PLATFORM&nbsp; Data analytics efficacy is at the top of mind for every customer. As we consistently hear from our customers, challenges in leveraging data across the organization at scale and its efficacy have become a major impediment to realizing their investments in digital transformation. As our customers continue to make investments in modernizing their data infrastructure, a new architectural paradigm which will help modernize analytics infrastructure, achieve governance at scale and increase the operational efficiency in analytics has gained traction in our industry. Increasingly more customers are moving away from a centralized solution to federated ecosystem to enable data and analytics across different Lines of Businesses.&nbsp; In this session, Jeeva will share high level overview of Microsoft hybrid architecture based on Intelligent Data Platform that will help you to:&nbsp;
<ul>
<li>Focus on business value creation by empowering LOBs through analytics federation - serving the data and services that they need to build their own business insights (data products).&nbsp;</li>
<li>Implement effective data management and governance to reduce data duplication, enable ease of access to relevant data and improve data quality.&nbsp;</li>
<li>Improve time to insight by leveraging automation and removing redundant data engineering work across the organization.&nbsp;</li>
<li>Achieve cost efficiency by reducing infrastructure and data processes complexity.&nbsp;</li>
</ul>
Jeeva Akr, WW Leader, Cloud Scale Analytics, Microsoft&nbsp;

INDUSTRY EXPERT: INTELLIGENT DATA PLATFORM

DATA ISN'T ALL ABOUT AI...IT&rsquo;S ABOUT CULTURE AND INNOVATION&nbsp; Ryan Hum, CIO &amp; VP of Data, Canada Energy Regulator&nbsp;

KEYNOTE CASE STUDY: DIGITAL TRANSFORMATION

RECOVERING YOUR DATA AND ANALYTICS FUNCTION AFTER COVID&nbsp; Karen Beckmann, Senior Director, Information Technology, Rocky Mountaineer

DATA STRATEGY 

ENABLING A DATA MESH WITH DATA VIRTUALIZATION&nbsp; Data Mesh is a concept that is getting a lot of attention recently, it offers an alternative way for organizations to manage and deliver data and changes the organizational dynamics of data ownership and data governance. This session cuts through the hype and confusion around Data Mesh and discusses everything that you need to know but were too afraid to ask. Gain key insights into: &nbsp;
<ul>
<li>Defining data mesh and its purpose and explore how organizations have implemented data mesh. &nbsp;</li>
<li>Establish the differences from other modern data architectures and the benefits. &nbsp;</li>
<li>Devise a plan to get started with a Data Mesh initiative and discover the best methods to avoid roadblocks &nbsp;&nbsp;</li>
</ul>
Realizing the benefits of Data Mesh&nbsp; &nbsp; David Kerner, Regional Vice-President and General Manager, Denodo Canada&nbsp;

INDUSTRY EXPERT: DATA VIRTUALIZATION

HOW CREDIT UNIONS ARE FLIPPING THE SCRIPT ON THE USE OF DATA&nbsp; Every day, algorithms are mining our data to sell us more products. But is this really the best we can do with all the data we have available to us? Discover how a shifting data landscape with open banking and new privacy laws will impact your work and chart a path to be part of the solution. Take away practical tips to: &nbsp;
<ul>
<li>Develop a roadmap to prepare for the new opportunities with open banking &nbsp;</li>
<li>Utilize consumer insights to build trust and deliver true value to your customers&nbsp;</li>
<li>Demonstrate to your organization how the use of data must evolve beyond product recommendations &nbsp;</li>
</ul>
How to best apply data for your benefit.&nbsp; &nbsp; Jeremy Coughlin, VP of Enterprise Analytics, Coast Capital Savings Federal Credit Union&nbsp;

AFTERNOON KEYNOTE: DATA FOR YOUR BENEFIT

ANALYTICS FOR ALL, ALL FOR ONE &ndash; THE FOUR COMPONENTS OF ENTERPRISE ANALYTICS&nbsp; We live in a new economy, where digital business models are winning. At the heart of this transformation are data, analytics, automation, and AI. Organizations at the forefront have taken a different approach to how they manage data access, analytics platforms, and data-driven decision making. They&rsquo;ve adopted a democratized approach, an &ldquo;Analytics for All&rdquo; strategy. Attend this session to learn how self-service analytics fosters data stewardship across the business, combats talent shortages, and accelerates digital transformation while ensuring governance and control. Experience the power and ease of analytics. From data prep and blend to machine learning, explore how you can get started on your journey to advanced analytics&nbsp; &nbsp; Chris Smallwood, Manager, Solutions Engineering, Alteryx &nbsp; &nbsp;

INDUSTRY EXPERT: ALTERYX

THE RISE OF THE CLOUD NATIVE SPATIAL ANALYSIS &nbsp; &nbsp; The Rise of the Cloud Native Spatial Analysis&nbsp; With more and more data analytics professionals turning to location data to predict and optimize their business processes, it&rsquo;s clear that new big data sets and data warehouses have revolutionized the way in which we analyze data and create and enrich spatial models.&nbsp; &nbsp;In this workshop, Eva Estrada-Adler, Solutions Engineer at CARTO, walks us through how to perform spatial analytics directly in the cloud data warehouse of your choice - whether that&rsquo;s Google BigQuery, Snowflake, Amazon Redshift or other solutions such as Databricks. Touching on use cases such as site selection, customer segmentation and environmental risk assessments - we&rsquo;ll see how spatial data and cloud native analysis has revolutionized the way companies power business decisions.&nbsp; &nbsp; What will you learn?&nbsp; Innovative types of location data available natively in the cloud such as human mobility, credit card transactions, natural hazard risks, and more. Real life examples of using spatial analysis for revenue prediction, twin area analysis, customer segmentation and more, all within your preferred cloud data warehouse.&nbsp; &nbsp; Eva Adler, Data Scientist, CARTO&nbsp;

INDUSTRY EXPERT: CARTO

DATA MONETIZATION THROUGH SCALABLE AI: PRACTICAL LESSONS LEARNED FROM THE PURSUIT OF BUZZWORDS &nbsp;&nbsp; In this presentation, Ian Hargreaves of ATB Financial will take us through how ATB is leveraging AI to create value for clients. He'll walk through opportunities for AI in financial services, the challenge of finding the right problem, and how AI can be delivered at scale. These lessons for success are drawn from years of trying (and often failing) to deliver on the promise of AI. The keys to success? Mapping out the value drivers of your business, creating a data monetization strategy, borrowing from product management to shift the focus from "building AI" to "building Data Products", and the critical role of building with the intent to scale.&nbsp;
<ul>
<li>A discussion on the critical step of mapping key value drivers for your business - and the role of a Data Monetization strategy in doing so. &nbsp;</li>
<li>A review of common failure points for AI - including practical lessons learned and how you can surmount them.&nbsp;</li>
<li>An overview of an AI Services model.&nbsp;</li>
</ul>
Monetize your data through scalable AI&nbsp; &nbsp; Ian Hargreaves, Managing Director of AI, ATB Financial&nbsp; &nbsp;

CASE STUDY: DATA MONETIZATION 

Review the key solutions and takeaways from today&rsquo;s sessions. Source a summary of action points to implement in your work. Discuss tomorrow&rsquo;s highlights!  &nbsp; Scott Taylor, The Data Whisperer&nbsp;

Agenda

Speakers.css-1f6omqm{margin:0;font-size:1.4rem;font-weight:500;line-height:1.5;color:#5d5d5d;font-family:'Poppins',sans-serif;margin-left:0.8rem;}28 Speakers

Chris Smallwood

Kimberly Nevala

Piotr Mierzejewski

Jeremy Coughlin

Raymond Ng

George Firican

Ian Hargreaves

Scott Taylor

Rob Davidson

Andrea Hanley

Melisa Albas

Jeeva Akr

Mark Kohout

Mirko Moeller

Rajat Paliwal

Eva Adler

Andrew Hall

Dylan Roth

Mark Lowerison

Vandana Mohan

Fred Popowich

Bryan Bottinelli

David Kerner

Ryan Hum

Karen Beckmann

Xavier Pradees

Sudipta Chakraborty

Martin Fiser

Booth.css-7303n9{margin:0;font-size:1.4rem;font-weight:500;line-height:1.5;color:#5d5d5d;font-family:'Poppins',sans-serif;color:#FFFFFF;margin-left:0.8rem;font-weight:400;}11 Booth