Global Artificial Intelligence Virtual Conference- Webinar (Free) Posted on : Nov 26 - 2024

Free Online

Description
We are very excited to organize Global Artificial Intelligence(AI) Virtual Conference is held on Dec 10th - 12th 2024. As we get closer to the conference, we want to invite you to participate in Global Big Data Conference Webinar - Online Warm-Up on Dec 3rd (1.00PM - 2.00PM) PST.

We will features with speakers from our upcoming Global AI Virtual Conference each of which will present a 10 minute sessions.

Free Online Webinar:
Tuesday December 3rd 2024 : 1.00 PM PST - 2:00PM PST

Welcome to webinar hosted by Global Big Data Conference! Please start registering by entering your name and email address to attend Webinar

Schedule:
Revant Nayar (CTO, FMI Tech)
James Serra (Big Data Architect, Microsoft)
Manjeet Singh (Sr. Director, AI Platform, Salesforce)
Arunansu Pattanayak (Chief Architect, Microsoft)
Yogi Sikri (Senior Leader In AI, AWS)

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Revant Nayar (CTO, FMI Tech)
Topic: AI vs Physics in Portfolio Optimisation

Who is this presentation for? : Anyone in finance, banking, asset management or anyone interested in quantitative finance

Prerequisite Knowledge: Should know introductory level finance and optimisation

What attendees will learn or gain? : New insights into the use of AI and other cutting edge alternatives to AI, in portfolio optimisation.

Profile
Revant Nayar is a Research Affiliate at IAS and CTO at Dilaton Tech. He has published papers and given talks at many leading conferences and universities, with a special emphasis on physics-inspired approaches to financial modelling. He features in Wealth and Finance Magazine as well as CIO Outlook Capital Markets, as one of the chief developers of Field Machine Intelligence, which is a robust alternative to AI tailored for financial time series.

James Serra (Big Data Architect, Microsoft)
Topic: Unlocking the Power of Generative AI for Structured Data

Abstract
We are all familiar with using generative AI and large language models (LLMs) for processing and generating insights from unstructured text data. However, the capabilities of generative AI are evolving rapidly, extending into the realm of structured data. New tools and methodologies are now emerging that enable us to harness the power of AI to generate meaningful insights, recommendations, and even predictions from structured datasets, such as relational databases, spreadsheets, and CSV files. In this presentation, we will explore how these advancements are transforming the ways we interact with structured data, allowing AI to understand and derive context, identify patterns, and generate context-aware responses. Attendees will gain insights into practical applications, including how to integrate generative AI with their existing data infrastructure to unlock new levels of automation, decision-making, and efficiency in data analysis

Profile
James works at Microsoft as a big data and data warehousing solution architect where he has been for most of the last ten years. He is a thought leader in the use and application of Big Data and advanced analytics, including data architectures such as the modern data warehouse, data lakehouse, data fabric, and data mesh. He is a prior SQL Server MVP with nearly 40 years of IT experience. He is a popular blogger (JamesSerra.com) and speaker, having presented at dozens of major events. He is the author of the book “Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh”.

Manjeet Singh (Sr. Director, AI Platform, Salesforce)
Topic: AI Agents and how to build and scale it for enterprise

Abstract
Who is this presentation for? IT Teams, AI product engineer, Data Science,
Prerequisite knowledge: Basics of computer
What attendees will learn or gain? How to get your GenAI/LLM Apps from flashy demo to production? Hear the best practices and learning of building production scale GenAI apps in the last two years.

Manjeet is Senior Director of Product Management for Salesforce AI and Agentforce platform. Previously, he has held VP of products @ IRM and Head of Products roles at ServiceNow. He is passionate about building AI powered products and staying super fit to create a long term impact in the world.
He holds a bachelor's degree in Computer Science and an MBA in product innovation and marketing from Leavy School of Business Santa Clara, California.

Arunansu Pattanayak (Chief Architect, Microsoft)
Topic: GenAI agents - Evolution of automation

Profile
Arun is a Technical Specialist at Microsoft, specializing in Data & AI for the Financial Services sector. With a passion for technology and a deep understanding of the industry, Arun is committed to helping organizations unlock their full potential through data-driven insights and informed decision-making. With a focus on elevating customer engagements, Arun collaborates closely with clients to identify strategic opportunities for growth and transformation. Drawing upon expertise in Data & AI, Arun develops and implements innovative solutions that optimize operational efficiency, enhance risk management, and drive revenue growth. In addition to his technical expertise, Arun is a highly regarded keynote speaker. He is frequently invited to share his insights on various topics, including how organizations can become data-driven entities, the importance of modernizing databases and applications, and implementing effective enterprise data governance strategies. Arun's dedication to empowering businesses to unlock the full potential of their data is evident in his commitment to staying ahead of the rapidly evolving digital landscape. Through his innovative solutions and strategic approaches, he enables organizations to thrive in today's competitive market, making a lasting impact on their growth and success.

Yogi Sikri (Senior Leader In AI, AWS)
Topic: AI as an enabler for unlocking Industry Data: Monetizing Enterprise Value

Abstract
This talk will explore the transformative potential of AI in harnessing untapped enterprise data across sectors such as insurance and capital markets. It will delve into how AI acts as an enabler for businesses to unlock hidden insights and create monetizable opportunities from their existing data assets. Attendees will gain insight into strategies that leverage AI for internal efficiency, embedding AI into products for customer value, and collaborating with data providers for revenue generation

Profile

Yogi Sikri is an executive with expertise in Generative AI, cloud transformation, and digital innovation. As an AWS leader, he drives strategic collaborations focused on non-linear growth across industry verticals. Yogi has spearheaded enterprise-scale Generative AI solutions solving complex industry use-cases. With a technical background and startup experience, he excels in designing and scaling AI/ML, data lake, and IoT solutions. Yogi's impact extends beyond technology, as he's a frequent executive speaker at C-level events and has contributed to publications like CIO Magazine.Description
We are very excited to organize Global Artificial Intelligence(AI) Virtual Conference is held on Dec 10th - 12th 2024. As we get closer to the conference, we want to invite you to participate in Global Big Data Conference Webinar - Online Warm-Up on Dec 3rd (1.00PM - 2.00PM) PST.

We will features with speakers from our upcoming Global AI Virtual Conference each of which will present a 10 minute sessions.

Free Online Webinar:
Tuesday December 3rd 2024 : 1.00 PM PST - 2:00PM PST

Welcome to webinar hosted by Global Big Data Conference! Please start registering by entering your name and email address to attend Webinar

Schedule:
Revant Nayar (CTO, FMI Tech)
James Serra (Big Data Architect, Microsoft)
Manjeet Singh (Sr. Director, AI Platform, Salesforce)
Arunansu Pattanayak (Chief Architect, Microsoft)
Yogi Sikri (Senior Leader In AI, AWS)

---------------------------------------------------------------------------
Revant Nayar (CTO, FMI Tech)
Topic: AI vs Physics in Portfolio Optimisation

Who is this presentation for? : Anyone in finance, banking, asset management or anyone interested in quantitative finance

Prerequisite Knowledge: Should know introductory level finance and optimisation

What attendees will learn or gain? : New insights into the use of AI and other cutting edge alternatives to AI, in portfolio optimisation.

Profile
Revant Nayar is a Research Affiliate at IAS and CTO at Dilaton Tech. He has published papers and given talks at many leading conferences and universities, with a special emphasis on physics-inspired approaches to financial modelling. He features in Wealth and Finance Magazine as well as CIO Outlook Capital Markets, as one of the chief developers of Field Machine Intelligence, which is a robust alternative to AI tailored for financial time series.

James Serra (Big Data Architect, Microsoft)
Topic: Unlocking the Power of Generative AI for Structured Data

Abstract
We are all familiar with using generative AI and large language models (LLMs) for processing and generating insights from unstructured text data. However, the capabilities of generative AI are evolving rapidly, extending into the realm of structured data. New tools and methodologies are now emerging that enable us to harness the power of AI to generate meaningful insights, recommendations, and even predictions from structured datasets, such as relational databases, spreadsheets, and CSV files. In this presentation, we will explore how these advancements are transforming the ways we interact with structured data, allowing AI to understand and derive context, identify patterns, and generate context-aware responses. Attendees will gain insights into practical applications, including how to integrate generative AI with their existing data infrastructure to unlock new levels of automation, decision-making, and efficiency in data analysis

Profile
James works at Microsoft as a big data and data warehousing solution architect where he has been for most of the last ten years. He is a thought leader in the use and application of Big Data and advanced analytics, including data architectures such as the modern data warehouse, data lakehouse, data fabric, and data mesh. He is a prior SQL Server MVP with nearly 40 years of IT experience. He is a popular blogger (JamesSerra.com) and speaker, having presented at dozens of major events. He is the author of the book “Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh”.

Manjeet Singh (Sr. Director, AI Platform, Salesforce)
Topic: AI Agents and how to build and scale it for enterprise

Abstract
Who is this presentation for? IT Teams, AI product engineer, Data Science,
Prerequisite knowledge: Basics of computer
What attendees will learn or gain? How to get your GenAI/LLM Apps from flashy demo to production? Hear the best practices and learning of building production scale GenAI apps in the last two years.

Manjeet is Senior Director of Product Management for Salesforce AI and Agentforce platform. Previously, he has held VP of products @ IRM and Head of Products roles at ServiceNow. He is passionate about building AI powered products and staying super fit to create a long term impact in the world.
He holds a bachelor's degree in Computer Science and an MBA in product innovation and marketing from Leavy School of Business Santa Clara, California.

Arunansu Pattanayak (Chief Architect, Microsoft)
Topic: GenAI agents - Evolution of automation

Profile
Arun is a Technical Specialist at Microsoft, specializing in Data & AI for the Financial Services sector. With a passion for technology and a deep understanding of the industry, Arun is committed to helping organizations unlock their full potential through data-driven insights and informed decision-making. With a focus on elevating customer engagements, Arun collaborates closely with clients to identify strategic opportunities for growth and transformation. Drawing upon expertise in Data & AI, Arun develops and implements innovative solutions that optimize operational efficiency, enhance risk management, and drive revenue growth. In addition to his technical expertise, Arun is a highly regarded keynote speaker. He is frequently invited to share his insights on various topics, including how organizations can become data-driven entities, the importance of modernizing databases and applications, and implementing effective enterprise data governance strategies. Arun's dedication to empowering businesses to unlock the full potential of their data is evident in his commitment to staying ahead of the rapidly evolving digital landscape. Through his innovative solutions and strategic approaches, he enables organizations to thrive in today's competitive market, making a lasting impact on their growth and success.

Yogi Sikri (Senior Leader In AI, AWS)
Topic: AI as an enabler for unlocking Industry Data: Monetizing Enterprise Value

Abstract
This talk will explore the transformative potential of AI in harnessing untapped enterprise data across sectors such as insurance and capital markets. It will delve into how AI acts as an enabler for businesses to unlock hidden insights and create monetizable opportunities from their existing data assets. Attendees will gain insight into strategies that leverage AI for internal efficiency, embedding AI into products for customer value, and collaborating with data providers for revenue generation

Profile
Yogi Sikri is an executive with expertise in Generative AI, cloud transformation, and digital innovation. As an AWS leader, he drives strategic collaborations focused on non-linear growth across industry verticals. Yogi has spearheaded enterprise-scale Generative AI solutions solving complex industry use-cases. With a technical background and startup experience, he excels in designing and scaling AI/ML, data lake, and IoT solutions. Yogi's impact extends beyond technology, as he's a frequent executive speaker at C-level events and has contributed to publications like CIO Magazine. View More