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Marcelo Leite

Data & Artificial Intelligence Specialist at Microsoft

Frisco, United States

My passion is using Data and Artificial Intelligence technologies to help clients and professionals transform their services and products to better serve their clients.

Enabling our customers to accomplish more, I enjoy developing cooperative relationships with customers, partners, coworkers, and industry evangelists. As a Data & Artificial Intelligence Specialist at Microsoft, I'm focused on assisting State & Local Government organizations in the United States digitally transforming their services for people, creating a better environment for everyone.

In order to encourage businesses, professionals, and my MBA students to be enthusiastic about the future brought about by the new era of Artificial Intelligence, I am very involved in the Data & AI industry as a thought leader. To encourage conversation and create lasting connections, I speak, write, and post content on LinkedIn and YouTube.

Connect with me on LinkedIn - https://www.linkedin.com/in/marcelocml/
Follow me on YouTube: MarceloInTech - https://www.youtube.com/@marcelointech

How can I contribute to the market?
• Data & AI project coach driven by industry and technical skills
• Developing and shaping new business, and Go-To-Market strategies
• Developing senior-level Data & AI industry and client relationships
• Serving as a company ambassador, technology evangelist, and industry influencer
• Challenging the status quo and continuously driving innovation
• Developing & implementing sales enablement strategies
• Teaching, mentoring, guiding, and developing professionals

Available For: Advising, Authoring, Consulting, Speaking
Travels From: DFW, TX
Speaking Topics: Data Analytics, Artificial Intelligence

Marcelo Leite Points
Academic 0
Author 80
Influencer 0
Speaker 0
Entrepreneur 0
Total 80

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Enterprise
Minimum Project Size: Undisclosed
Average Hourly Rate: Undisclosed
Number of Employees: Undisclosed
Company Founded Date: Undisclosed

Areas of Expertise

AI 30.77
Analytics 33.31
Big Data 31.38
Business Strategy
Cloud
FinTech 31.04
Generative AI
GovTech
InsurTech 35.28
Predictive Analytics
Sales
Smart Cities

Industry Experience

Federal & Public Sector
Financial Services & Banking
Insurance

Publications

1 Book
Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide
Packt
December 01, 2022
Passing the DP-900 Microsoft Azure Data Fundamentals exam opens the door to a myriad of opportunities for working with data services in the cloud. But it is not an easy exam, and you'll need a guide to set you up for success and prepare you for a career in Microsoft Azure.

Absolutely everything you need to pass the DP-900 exam is covered in this concise handbook. After an introductory chapter covering the core terms and concepts, you'll go through the various roles related to working with data in the cloud and learn the similarities and differences between relational and non-relational databases. This foundational knowledge is crucial, as you'll learn how to provision and deploy Azure's relational and non-relational services in detail later in the book. You'll also gain an understanding of how to glean insights with data analytics at both small and large scales, and how to visualize your insights with Power BI. Once you reach the end of the book, you'll be able to test your knowledge with practice tests with detailed explanations of the correct answers.

By the end of this book, you will be armed with the knowledge and confidence to not only pass the DP-900 exam but also have a solid foundation from which to embark on a career in Azure data services.

What you will learn
Explore the concepts of IaaS and PaaS database services on Azure
Query, insert, update, and delete relational data using SQL
Explore the concepts of data warehouses in Azure
Perform data analytics with an Azure Synapse Analytics workspace
Upload and retrieve data in Azure Cosmos DB and Azure HDInsight
Provision and deploy non-relational data services in Azure
Contextualize the knowledge with real-life use cases
Test your progress with a mock exam

See publication

Tags: AI, Analytics, Big Data

2 eBooks
Open Insurance: new intelligence insurance models and their implementation on Microsoft Azure
Microsoft
December 20, 2021
The insurance market is facing a new era.
For #OpenInsurance to be an opportunity for innovation, a technology infrastructure that promotes flexibility, innovation, security and compliance in the use of data is needed.

Through this material created by the part of Microsoft Cloud for FSI team, understand how to structure your #OpenInsurance strategy with the #MicrosoftAzure
------------------------------------------------------------
O mercado de seguros está diante de uma nova era.
Para que o #OpenInsurance seja uma oportunidade de inovação, é necessária uma infraestrutura de tecnologia que promova flexibilidade, inovação, segurança e conformidade no uso de dados.

Através deste material criado por parte do time especialista em Cloud para mercado financeiro da Microsoft, entenda como estruturar sua estratégia de #OpenInsurance com a nuvem #MicrosoftAzure

See publication

Tags: Analytics, FinTech, InsurTech

Microsoft Azure´s reference architectures to support customers throughout the waves of Open Finance
Microsoft
March 01, 2021
Microsoft’s approach combines flexible and modular architecture to leverage new business models in Open
Finance and support regulatory compliance.

This document showcases reference architectures, based on the Azure cloud platform, to accommodate this correct balance and comply with regulatory requirements, from for example, the Brazilian Central Bank.

---------------------

A abordagem da Microsoft combina arquitetura flexível e modular para alavancar novos modelos de negócios no Open Finance e apoiar a conformidade regulatória.

Este documento apresenta arquiteturas de referência, baseadas na plataforma de nuvem Azure, para acomodar esse equilíbrio correto e cumprir os requisitos regulatórios, por exemplo, do Banco Central do Brasil.

See publication

Tags: Analytics, FinTech, InsurTech

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