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Title & Speakers Event

Discover best practices to scale Power BI effectively—improving performance, governance, and self-service across enterprise environments. Published at: https://datalere.com/articles/power-bi-best-practices-from-the-field-lessons-from-enterprise-deployments

BI Power BI

Chief Data Officers are expanding data sharing to drive productivity, innovation, and better decisions. Data marketplaces simplify access by connecting users to ready-to-use, high-value data through a centralized, self-service platform. Published at: https://www.eckerson.com/articles/how-data-product-marketplaces-enable-seamless-data-consumption-and-generate-value

Open meeting for any group members interested in being involved with the group's leadership & planning.

As we announced at the SQL Saturday RVA event, Wayne is stepping down from the group's leadership team. We are having a Q&A meeting for anyone interested in joining the leadership team, and to discuss future plans for our group meetings.

The current leadership team (Jamie, Az & Wayne) will be meeting in-person, and all members are invited to join us. A zoom link is also available for any members that are unable to attend in-person.

Group Leadership Planning Q&A

All data management activities—whether internally or externally focused—should either reduce costs or grow earnings. Published at: https://www.eckerson.com/articles/book-review-how-to-make-money-with-data

Data Management

This blog offers five guiding principles to help CIOs, CDOs, and team leaders optimize hybrid data environments. Published at: https://www.eckerson.com/articles/balancing-act-five-principles-to-optimize-hybrid-cloud-environments

Cloud Computing

This blog defines the governance requirements that streaming data pipelines must meet to make artificial intelligence/machine learning (AI/ML) initiatives successful. Published at: https://www.eckerson.com/articles/streaming-data-governance-three-must-have-requirements-to-support-ai-ml-innovation

AI/ML Data Governance Data Streaming
Anthony Cosgrove – Co-founder @ Harbr

Anthony Cosgrove, Co-founder at Harbr, tells us how successful data products focus on clear value propositions, tailored placement, intuitive packaging, and appropriate permissions. Published at: https://www.eckerson.com/articles/what-is-a-data-product

This blog, the second in a series, explores the mix of infrastructure types that support modern AI. Published at: https://www.eckerson.com/articles/cloud-on-prem-hybrid-oh-my-where-ai-adopters-host-their-projects-and-why

AI/ML Cloud Computing

Despite $180 billion spent on big data tools and technologies, poor data quality remains a significant barrier for businesses, especially in achieving Generative AI goals. Published at: https://www.eckerson.com/articles/poor-data-quality-is-a-full-blown-crisis-a-2024-customer-insight-report

AI/ML Big Data Data Quality GenAI

This blog discusses how GenAI and natural language processing are transforming SQL query generation, allowing non-technical users to access and query data easily. Published at: https://www.eckerson.com/articles/from-4gl-to-genai-how-sql-automation-has-evolved

GenAI NLP SQL
Piotr Czarnas – founder @ DQOps

This article by Piotr Czarnas, founder of DQOps, outlines a proven, team-based approach to tackling persistent issues like invalid data, delayed reporting, and inconsistent formats. Published at: https://www.eckerson.com/articles/overcoming-the-challenge-of-low-data-quality

Data Quality

As cloud adoption accelerates, not all analytics workloads are heading in the same direction. This blog explores three strategic options for data and IT leaders. Published at: https://www.eckerson.com/articles/are-you-cloud-bound-the-case-for-migration-repatriation-or-keeping-your-analytics-projects-on-premises

Analytics Cloud Computing

This article explores how Product Information Management (PIM) helps manufacturers and retailers manage rich product data through phased attribution and collaborative workflows. Published at: https://www.eckerson.com/articles/keys-to-succeeding-in-your-product-information-management-pim-journey

Registration is REQUIRED here - https://ms-workshops.cloudevents.ai/ms-innovation-workshops/events/44c795ed-3c87-4c98-9f3b-cbf2cebe85a2

  • Overview
  • In this hands-on lab, you will explore the concept of prompt engineering, learning how to craft effective prompts for AI models. You'll get hands-on experience with Azure OpenAI Playground, experimenting with different types of prompts and understanding their elements and design tips. The way developers shape their prompts significantly impacts the generative AI model's responses, allowing for tailored and formatted content when requested clearly and concisely. You'll learn how different prompts for similar content can shape the AI model's response to better satisfy your requirements.
  • You will explore how to use generative AI to improve advertising emails and categorize articles for your team. The prompt engineering techniques used in the exercise are applicable to various use cases. Tuning prompts to achieve the desired results is the core idea behind prompt engineering. *

Objective

  • By the end of this lab, you will be able to:
  • Introduction to Prompt Engineering & Azure OpenAI Studio: Learn to craft effective prompts for AI models using Azure OpenAI Playground, experimenting with different types and design tips. This hands-on experience will help you understand how different prompt styles influence AI responses and improve your results.
  • Utilize prompt engineering in your app: Provision an Azure OpenAI resource, deploy a model, apply prompt engineering in the chat playground, set up and configure an application in Cloud Shell, and run your application to see the results.
  • Advanced Concepts (Read-Only): Master the art of tuning prompts to achieve specific outcomes and explore advanced methods for refining AI outputs, all without the need for fine-tuning GPT models. Learn how to leverage prompt adjustments and design techniques to enhance model responses effectively.
  • Fine Tuning (Read-Only): Master prompt engineering using Azure OpenAI Playground to refine AI responses, tailoring outputs for specific tasks such as enhancing advertising emails and categorizing articles.
  • Pre-requisites
  • Participants should have:
  • Familiarity with Azure OpenAI Service.
  • Prompt Engineering Basics
  • Architecture
  • In this hands-on lab, you'll delve into prompt engineering by first grasping the basics and its impact on AI responses. You'll then gain practical experience using Azure OpenAI Playground, experimenting with various types of prompts, and learning their design elements and tips. As you explore how to tailor prompts for improving advertising emails and categorizing articles, you'll see how effective prompt engineering can shape AI model outputs to meet specific requirements. The lab emphasizes how tuning prompts are crucial for optimizing AI responses across different use cases.

Instructor Name: Dwayne Natwick, CEO/Owner Captain Hyperscaler, LLC; Microsoft Certified Trainer (MCT) Regional Lead & Microsoft Most Valuable Professional (MVP) *

  • Bio: Dwayne is a vision-driven and goal-focused leader with a history of success managing the full lifecycle of Security and IT products and services including architecture, design, proposals, sales, and marketing. Hands-on network security, compliance, and identity engineering and design, with the business acumen and project management skills to ensure critical project delivery that is on-time and within budget. Dwayne has exceptional interpersonal skills with the ability to motivate highly technical teams while effectively communicating with stakeholders and business resources at all the levels of the organization. He has a proven track-record delivering major results and contributing to the achievement of business goals and objectives. His ability to train and develop people at varying technical levels to understand difficult security and cloud concepts is exceptional. Dwayne is a public speaker that is extremely passionate about security architecture and design.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 ODSC blog: https://opendatascience.com/ Facebook: https://www.facebook.com/OPENDATASCI Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science Slack Channel: https://hubs.li/Q038cQBy0 Code of conduct: https://odsc.com/code-of-conduct/

Hands-On Session "Build Prompt Engineering with Azure OpenAI Service"

Registration is REQUIRED here - https://ms-workshops.cloudevents.ai/ms-innovation-workshops/events/44c795ed-3c87-4c98-9f3b-cbf2cebe85a2

  • Overview
  • In this hands-on lab, you will explore the concept of prompt engineering, learning how to craft effective prompts for AI models. You'll get hands-on experience with Azure OpenAI Playground, experimenting with different types of prompts and understanding their elements and design tips. The way developers shape their prompts significantly impacts the generative AI model's responses, allowing for tailored and formatted content when requested clearly and concisely. You'll learn how different prompts for similar content can shape the AI model's response to better satisfy your requirements.
  • You will explore how to use generative AI to improve advertising emails and categorize articles for your team. The prompt engineering techniques used in the exercise are applicable to various use cases. Tuning prompts to achieve the desired results is the core idea behind prompt engineering. *

Objective

  • By the end of this lab, you will be able to:
  • Introduction to Prompt Engineering & Azure OpenAI Studio: Learn to craft effective prompts for AI models using Azure OpenAI Playground, experimenting with different types and design tips. This hands-on experience will help you understand how different prompt styles influence AI responses and improve your results.
  • Utilize prompt engineering in your app: Provision an Azure OpenAI resource, deploy a model, apply prompt engineering in the chat playground, set up and configure an application in Cloud Shell, and run your application to see the results.
  • Advanced Concepts (Read-Only): Master the art of tuning prompts to achieve specific outcomes and explore advanced methods for refining AI outputs, all without the need for fine-tuning GPT models. Learn how to leverage prompt adjustments and design techniques to enhance model responses effectively.
  • Fine Tuning (Read-Only): Master prompt engineering using Azure OpenAI Playground to refine AI responses, tailoring outputs for specific tasks such as enhancing advertising emails and categorizing articles.
  • Pre-requisites
  • Participants should have:
  • Familiarity with Azure OpenAI Service.
  • Prompt Engineering Basics
  • Architecture
  • In this hands-on lab, you'll delve into prompt engineering by first grasping the basics and its impact on AI responses. You'll then gain practical experience using Azure OpenAI Playground, experimenting with various types of prompts, and learning their design elements and tips. As you explore how to tailor prompts for improving advertising emails and categorizing articles, you'll see how effective prompt engineering can shape AI model outputs to meet specific requirements. The lab emphasizes how tuning prompts are crucial for optimizing AI responses across different use cases.

Instructor Name: Dwayne Natwick, CEO/Owner Captain Hyperscaler, LLC; Microsoft Certified Trainer (MCT) Regional Lead & Microsoft Most Valuable Professional (MVP) *

  • Bio: Dwayne is a vision-driven and goal-focused leader with a history of success managing the full lifecycle of Security and IT products and services including architecture, design, proposals, sales, and marketing. Hands-on network security, compliance, and identity engineering and design, with the business acumen and project management skills to ensure critical project delivery that is on-time and within budget. Dwayne has exceptional interpersonal skills with the ability to motivate highly technical teams while effectively communicating with stakeholders and business resources at all the levels of the organization. He has a proven track-record delivering major results and contributing to the achievement of business goals and objectives. His ability to train and develop people at varying technical levels to understand difficult security and cloud concepts is exceptional. Dwayne is a public speaker that is extremely passionate about security architecture and design.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 ODSC blog: https://opendatascience.com/ Facebook: https://www.facebook.com/OPENDATASCI Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science Slack Channel: https://hubs.li/Q038cQBy0 Code of conduct: https://odsc.com/code-of-conduct/

Hands-On Session "Build Prompt Engineering with Azure OpenAI Service"

Registration is REQUIRED here - https://ms-workshops.cloudevents.ai/ms-innovation-workshops/events/44c795ed-3c87-4c98-9f3b-cbf2cebe85a2

  • Overview
  • In this hands-on lab, you will explore the concept of prompt engineering, learning how to craft effective prompts for AI models. You'll get hands-on experience with Azure OpenAI Playground, experimenting with different types of prompts and understanding their elements and design tips. The way developers shape their prompts significantly impacts the generative AI model's responses, allowing for tailored and formatted content when requested clearly and concisely. You'll learn how different prompts for similar content can shape the AI model's response to better satisfy your requirements.
  • You will explore how to use generative AI to improve advertising emails and categorize articles for your team. The prompt engineering techniques used in the exercise are applicable to various use cases. Tuning prompts to achieve the desired results is the core idea behind prompt engineering. *

Objective

  • By the end of this lab, you will be able to:
  • Introduction to Prompt Engineering & Azure OpenAI Studio: Learn to craft effective prompts for AI models using Azure OpenAI Playground, experimenting with different types and design tips. This hands-on experience will help you understand how different prompt styles influence AI responses and improve your results.
  • Utilize prompt engineering in your app: Provision an Azure OpenAI resource, deploy a model, apply prompt engineering in the chat playground, set up and configure an application in Cloud Shell, and run your application to see the results.
  • Advanced Concepts (Read-Only): Master the art of tuning prompts to achieve specific outcomes and explore advanced methods for refining AI outputs, all without the need for fine-tuning GPT models. Learn how to leverage prompt adjustments and design techniques to enhance model responses effectively.
  • Fine Tuning (Read-Only): Master prompt engineering using Azure OpenAI Playground to refine AI responses, tailoring outputs for specific tasks such as enhancing advertising emails and categorizing articles.
  • Pre-requisites
  • Participants should have:
  • Familiarity with Azure OpenAI Service.
  • Prompt Engineering Basics
  • Architecture
  • In this hands-on lab, you'll delve into prompt engineering by first grasping the basics and its impact on AI responses. You'll then gain practical experience using Azure OpenAI Playground, experimenting with various types of prompts, and learning their design elements and tips. As you explore how to tailor prompts for improving advertising emails and categorizing articles, you'll see how effective prompt engineering can shape AI model outputs to meet specific requirements. The lab emphasizes how tuning prompts are crucial for optimizing AI responses across different use cases.

Instructor Name: Dwayne Natwick, CEO/Owner Captain Hyperscaler, LLC; Microsoft Certified Trainer (MCT) Regional Lead & Microsoft Most Valuable Professional (MVP) *

  • Bio: Dwayne is a vision-driven and goal-focused leader with a history of success managing the full lifecycle of Security and IT products and services including architecture, design, proposals, sales, and marketing. Hands-on network security, compliance, and identity engineering and design, with the business acumen and project management skills to ensure critical project delivery that is on-time and within budget. Dwayne has exceptional interpersonal skills with the ability to motivate highly technical teams while effectively communicating with stakeholders and business resources at all the levels of the organization. He has a proven track-record delivering major results and contributing to the achievement of business goals and objectives. His ability to train and develop people at varying technical levels to understand difficult security and cloud concepts is exceptional. Dwayne is a public speaker that is extremely passionate about security architecture and design.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 ODSC blog: https://opendatascience.com/ Facebook: https://www.facebook.com/OPENDATASCI Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science Slack Channel: https://hubs.li/Q038cQBy0 Code of conduct: https://odsc.com/code-of-conduct/

Hands-On Session "Build Prompt Engineering with Azure OpenAI Service"

Registration is REQUIRED here - https://ms-workshops.cloudevents.ai/ms-innovation-workshops/events/44c795ed-3c87-4c98-9f3b-cbf2cebe85a2

  • Overview
  • In this hands-on lab, you will explore the concept of prompt engineering, learning how to craft effective prompts for AI models. You'll get hands-on experience with Azure OpenAI Playground, experimenting with different types of prompts and understanding their elements and design tips. The way developers shape their prompts significantly impacts the generative AI model's responses, allowing for tailored and formatted content when requested clearly and concisely. You'll learn how different prompts for similar content can shape the AI model's response to better satisfy your requirements.
  • You will explore how to use generative AI to improve advertising emails and categorize articles for your team. The prompt engineering techniques used in the exercise are applicable to various use cases. Tuning prompts to achieve the desired results is the core idea behind prompt engineering. *

Objective

  • By the end of this lab, you will be able to:
  • Introduction to Prompt Engineering & Azure OpenAI Studio: Learn to craft effective prompts for AI models using Azure OpenAI Playground, experimenting with different types and design tips. This hands-on experience will help you understand how different prompt styles influence AI responses and improve your results.
  • Utilize prompt engineering in your app: Provision an Azure OpenAI resource, deploy a model, apply prompt engineering in the chat playground, set up and configure an application in Cloud Shell, and run your application to see the results.
  • Advanced Concepts (Read-Only): Master the art of tuning prompts to achieve specific outcomes and explore advanced methods for refining AI outputs, all without the need for fine-tuning GPT models. Learn how to leverage prompt adjustments and design techniques to enhance model responses effectively.
  • Fine Tuning (Read-Only): Master prompt engineering using Azure OpenAI Playground to refine AI responses, tailoring outputs for specific tasks such as enhancing advertising emails and categorizing articles.
  • Pre-requisites
  • Participants should have:
  • Familiarity with Azure OpenAI Service.
  • Prompt Engineering Basics
  • Architecture
  • In this hands-on lab, you'll delve into prompt engineering by first grasping the basics and its impact on AI responses. You'll then gain practical experience using Azure OpenAI Playground, experimenting with various types of prompts, and learning their design elements and tips. As you explore how to tailor prompts for improving advertising emails and categorizing articles, you'll see how effective prompt engineering can shape AI model outputs to meet specific requirements. The lab emphasizes how tuning prompts are crucial for optimizing AI responses across different use cases.

Instructor Name: Dwayne Natwick, CEO/Owner Captain Hyperscaler, LLC; Microsoft Certified Trainer (MCT) Regional Lead & Microsoft Most Valuable Professional (MVP) *

  • Bio: Dwayne is a vision-driven and goal-focused leader with a history of success managing the full lifecycle of Security and IT products and services including architecture, design, proposals, sales, and marketing. Hands-on network security, compliance, and identity engineering and design, with the business acumen and project management skills to ensure critical project delivery that is on-time and within budget. Dwayne has exceptional interpersonal skills with the ability to motivate highly technical teams while effectively communicating with stakeholders and business resources at all the levels of the organization. He has a proven track-record delivering major results and contributing to the achievement of business goals and objectives. His ability to train and develop people at varying technical levels to understand difficult security and cloud concepts is exceptional. Dwayne is a public speaker that is extremely passionate about security architecture and design.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 ODSC blog: https://opendatascience.com/ Facebook: https://www.facebook.com/OPENDATASCI Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science Slack Channel: https://hubs.li/Q038cQBy0 Code of conduct: https://odsc.com/code-of-conduct/

Hands-On Session "Build Prompt Engineering with Azure OpenAI Service"

Registration is REQUIRED here - https://ms-workshops.cloudevents.ai/ms-innovation-workshops/events/44c795ed-3c87-4c98-9f3b-cbf2cebe85a2

  • Overview
  • In this hands-on lab, you will explore the concept of prompt engineering, learning how to craft effective prompts for AI models. You'll get hands-on experience with Azure OpenAI Playground, experimenting with different types of prompts and understanding their elements and design tips. The way developers shape their prompts significantly impacts the generative AI model's responses, allowing for tailored and formatted content when requested clearly and concisely. You'll learn how different prompts for similar content can shape the AI model's response to better satisfy your requirements.
  • You will explore how to use generative AI to improve advertising emails and categorize articles for your team. The prompt engineering techniques used in the exercise are applicable to various use cases. Tuning prompts to achieve the desired results is the core idea behind prompt engineering. *

Objective

  • By the end of this lab, you will be able to:
  • Introduction to Prompt Engineering & Azure OpenAI Studio: Learn to craft effective prompts for AI models using Azure OpenAI Playground, experimenting with different types and design tips. This hands-on experience will help you understand how different prompt styles influence AI responses and improve your results.
  • Utilize prompt engineering in your app: Provision an Azure OpenAI resource, deploy a model, apply prompt engineering in the chat playground, set up and configure an application in Cloud Shell, and run your application to see the results.
  • Advanced Concepts (Read-Only): Master the art of tuning prompts to achieve specific outcomes and explore advanced methods for refining AI outputs, all without the need for fine-tuning GPT models. Learn how to leverage prompt adjustments and design techniques to enhance model responses effectively.
  • Fine Tuning (Read-Only): Master prompt engineering using Azure OpenAI Playground to refine AI responses, tailoring outputs for specific tasks such as enhancing advertising emails and categorizing articles.
  • Pre-requisites
  • Participants should have:
  • Familiarity with Azure OpenAI Service.
  • Prompt Engineering Basics
  • Architecture
  • In this hands-on lab, you'll delve into prompt engineering by first grasping the basics and its impact on AI responses. You'll then gain practical experience using Azure OpenAI Playground, experimenting with various types of prompts, and learning their design elements and tips. As you explore how to tailor prompts for improving advertising emails and categorizing articles, you'll see how effective prompt engineering can shape AI model outputs to meet specific requirements. The lab emphasizes how tuning prompts are crucial for optimizing AI responses across different use cases.

Instructor Name: Dwayne Natwick, CEO/Owner Captain Hyperscaler, LLC; Microsoft Certified Trainer (MCT) Regional Lead & Microsoft Most Valuable Professional (MVP) *

  • Bio: Dwayne is a vision-driven and goal-focused leader with a history of success managing the full lifecycle of Security and IT products and services including architecture, design, proposals, sales, and marketing. Hands-on network security, compliance, and identity engineering and design, with the business acumen and project management skills to ensure critical project delivery that is on-time and within budget. Dwayne has exceptional interpersonal skills with the ability to motivate highly technical teams while effectively communicating with stakeholders and business resources at all the levels of the organization. He has a proven track-record delivering major results and contributing to the achievement of business goals and objectives. His ability to train and develop people at varying technical levels to understand difficult security and cloud concepts is exceptional. Dwayne is a public speaker that is extremely passionate about security architecture and design.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 ODSC blog: https://opendatascience.com/ Facebook: https://www.facebook.com/OPENDATASCI Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science Slack Channel: https://hubs.li/Q038cQBy0 Code of conduct: https://odsc.com/code-of-conduct/

Hands-On Session "Build Prompt Engineering with Azure OpenAI Service"

Registration is REQUIRED here - https://ms-workshops.cloudevents.ai/ms-innovation-workshops/events/44c795ed-3c87-4c98-9f3b-cbf2cebe85a2

  • Overview
  • In this hands-on lab, you will explore the concept of prompt engineering, learning how to craft effective prompts for AI models. You'll get hands-on experience with Azure OpenAI Playground, experimenting with different types of prompts and understanding their elements and design tips. The way developers shape their prompts significantly impacts the generative AI model's responses, allowing for tailored and formatted content when requested clearly and concisely. You'll learn how different prompts for similar content can shape the AI model's response to better satisfy your requirements.
  • You will explore how to use generative AI to improve advertising emails and categorize articles for your team. The prompt engineering techniques used in the exercise are applicable to various use cases. Tuning prompts to achieve the desired results is the core idea behind prompt engineering. *

Objective

  • By the end of this lab, you will be able to:
  • Introduction to Prompt Engineering & Azure OpenAI Studio: Learn to craft effective prompts for AI models using Azure OpenAI Playground, experimenting with different types and design tips. This hands-on experience will help you understand how different prompt styles influence AI responses and improve your results.
  • Utilize prompt engineering in your app: Provision an Azure OpenAI resource, deploy a model, apply prompt engineering in the chat playground, set up and configure an application in Cloud Shell, and run your application to see the results.
  • Advanced Concepts (Read-Only): Master the art of tuning prompts to achieve specific outcomes and explore advanced methods for refining AI outputs, all without the need for fine-tuning GPT models. Learn how to leverage prompt adjustments and design techniques to enhance model responses effectively.
  • Fine Tuning (Read-Only): Master prompt engineering using Azure OpenAI Playground to refine AI responses, tailoring outputs for specific tasks such as enhancing advertising emails and categorizing articles.
  • Pre-requisites
  • Participants should have:
  • Familiarity with Azure OpenAI Service.
  • Prompt Engineering Basics
  • Architecture
  • In this hands-on lab, you'll delve into prompt engineering by first grasping the basics and its impact on AI responses. You'll then gain practical experience using Azure OpenAI Playground, experimenting with various types of prompts, and learning their design elements and tips. As you explore how to tailor prompts for improving advertising emails and categorizing articles, you'll see how effective prompt engineering can shape AI model outputs to meet specific requirements. The lab emphasizes how tuning prompts are crucial for optimizing AI responses across different use cases.

Instructor Name: Dwayne Natwick, CEO/Owner Captain Hyperscaler, LLC; Microsoft Certified Trainer (MCT) Regional Lead & Microsoft Most Valuable Professional (MVP) *

  • Bio: Dwayne is a vision-driven and goal-focused leader with a history of success managing the full lifecycle of Security and IT products and services including architecture, design, proposals, sales, and marketing. Hands-on network security, compliance, and identity engineering and design, with the business acumen and project management skills to ensure critical project delivery that is on-time and within budget. Dwayne has exceptional interpersonal skills with the ability to motivate highly technical teams while effectively communicating with stakeholders and business resources at all the levels of the organization. He has a proven track-record delivering major results and contributing to the achievement of business goals and objectives. His ability to train and develop people at varying technical levels to understand difficult security and cloud concepts is exceptional. Dwayne is a public speaker that is extremely passionate about security architecture and design.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 ODSC blog: https://opendatascience.com/ Facebook: https://www.facebook.com/OPENDATASCI Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science Slack Channel: https://hubs.li/Q038cQBy0 Code of conduct: https://odsc.com/code-of-conduct/

Hands-On Session "Build Prompt Engineering with Azure OpenAI Service"

This article breaks down the evolving landscape of AI/ML platforms, from AutoML to full-stack AI workbenches, and provides a structured tool evaluation framework to cut through vendor ambiguity. Published at: https://www.eckerson.com/articles/the-ai-ml-tool-evaluation-template-a-guide-to-smarter-selection

AI/ML
Secrets of Data Analytics Leaders