Machine Learning is approaching a peak of inflated expectations, although we see AI daily and in all contexts. Media pressure is high, governments are overly optimistic, plenty of ventures are putting money in unviable ideas or some brilliant engineers fail to reach business users.
But Microsoft bring all of this under the same roof and unleash the power of AI by integrating Power BI ecosystem with Azure ML and Cognitive services. The result is as simple and effective as great technology at end-user's hand.
This session is not about learning how to do AI but how to make AI usable and add value. Integrating ML models and sophisticated cognitive services in reports, understanding concealed relations and bringing automated ML empowers any business user to exploit AI for better decisions, regardless of his technical skills.
Power BI has become a product with a ton of exciting features. This presentation will give an overview of some of them, including Power BI Desktop, Power BI service, what’s new, integration with other services, Power BI premium, and administration.
Presented to The Ottawa IT Community Meetup Group (Ottawa SQL - PASS Chapter) on Thursday September 19
Powerful Self-Service BI in Excel 2013 - Data search and discovery with Power Query (formerly "Data Explorer"), analyzing and modeling with Power Pivot, visualizing and exploring with Power View and Power Map (formerly codename "GeoFlow")
Power BI Overview, Deployment and GovernanceJames Serra
Deploying Power BI in a large enterprise is a complex task, and one that requires a lot of thought and planning. The purpose of this presentation is to help you make your Power BI deployment a success. After a quick Power BI overview, I’ll discuss deployment strategies, common usage scenarios, how to store and refresh data, prototyping options, how to share externally, and then finish with how to administer and secure Power BI. I’ll outline considerations and best practices for achieving an optimal, well-performing, enterprise level Power BI deployment.
Explain about power BI Overview from Power BI Desktop, Power BI Service, Power BI Report Server and Power BI Mobile that consume all BI Data from Dataset and datamodel
Microsoft Power BI | Brief Introduction | PPTSophia Smith
What is Power BI?
Microsoft Power BI is one of the most powerful data visualization software. It empowers the organizations with their tools and help the users to transform their raw data into valuable information. Let's have a look on How Power BI helps to your business.
Power BI has become a product with a ton of exciting features. This presentation will give an overview of some of them, including Power BI Desktop, Power BI service, what’s new, integration with other services, Power BI premium, and administration.
Presented to The Ottawa IT Community Meetup Group (Ottawa SQL - PASS Chapter) on Thursday September 19
Powerful Self-Service BI in Excel 2013 - Data search and discovery with Power Query (formerly "Data Explorer"), analyzing and modeling with Power Pivot, visualizing and exploring with Power View and Power Map (formerly codename "GeoFlow")
Power BI Overview, Deployment and GovernanceJames Serra
Deploying Power BI in a large enterprise is a complex task, and one that requires a lot of thought and planning. The purpose of this presentation is to help you make your Power BI deployment a success. After a quick Power BI overview, I’ll discuss deployment strategies, common usage scenarios, how to store and refresh data, prototyping options, how to share externally, and then finish with how to administer and secure Power BI. I’ll outline considerations and best practices for achieving an optimal, well-performing, enterprise level Power BI deployment.
Explain about power BI Overview from Power BI Desktop, Power BI Service, Power BI Report Server and Power BI Mobile that consume all BI Data from Dataset and datamodel
Microsoft Power BI | Brief Introduction | PPTSophia Smith
What is Power BI?
Microsoft Power BI is one of the most powerful data visualization software. It empowers the organizations with their tools and help the users to transform their raw data into valuable information. Let's have a look on How Power BI helps to your business.
Power BI is a business analytics service that enables you to see all of your data through a single pane of glass. Live Power BI dashboards and reports...
For business users, always using AI is about easy access to the tools without writing any code. This session is not about learning how to do AI but how to make AI usable and add value.
AI powered visuals such as Key Influencer in Power BI desktop to analyse the data without deep knoledge of the machine learning concepts.
Machine Learning is approaching a peak of inflated expectations, although we see AI daily and in all contexts. Media pressure is high, governments are overly optimistic, plenty of ventures are putting money in unviable ideas or some brilliant engineers fail to reach business users.
But Microsoft bring all of this under the same roof and unleash the power of AI by integrating Power BI ecosystem with Azure ML and Cognitive services. The result is as simple and effective as great technology at end-user's hand.
The slide deck from data and analytics workshop for HR professionals. Presented in @hrtechgroup event in Microsoft Vancouver. The workshop was built around the HR sample partner data set
https://docs.microsoft.com/en-us/power-bi/sample-human-resources
Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. This is a huge deck with lots of screenshots so you can see exactly how it works.
Achieving Business Transformation with UiPath RPACelonis
UiPath delivers the most advanced Enterprise RPA Platform, built for business and IT. As you strive to benefit from the opportunities of the “Automation First” era, your digital transformation can be accelerated here. And UiPath RPA is constantly adding new AI skills that can be applied to more complex use cases. Join Christian Berg, Director of AI Product Management, and Bella Liu, AI Partnership Lead to learn how UiPath RPA is enabling robots to address process automation end to end with new AI skills powered by Celonis.
Presenters:
Bella Liu, AI Partnership Lead, UiPath
Christian Berg, Director of AI Product Management, UiPath
This our kick-off session for the RPA Summer School program. In this session we will provide you with the tools and information needed to go smoothly through our following 3 sessions. We will address the introduction into RPA and UiPath StudioX technology.
18:00 Hello & welcome to RPA Summer School
18:05 Introduction to RPA technology and processes
18:35 Introduction to UiPath StudioX: download, install, features
18:55 Small automation demo using StudioX
19:00 Interaction and Q&A
19:20 Academy follow-up and examples.
Learn about the three advances in database technologies that eliminate the need for star schemas and the resulting maintenance nightmare.
Relational databases in the 1980s were typically designed using the Codd-Date rules for data normalization. It was the most efficient way to store data used in operations. As BI and multi-dimensional analysis became popular, the relational databases began to have performance issues when multiple joins were requested. The development of the star schema was a clever way to get around performance issues and ensure that multi-dimensional queries could be resolved quickly. But this design came with its own set of problems.
Unfortunately, the analytic process is never simple. Business users always think up unimaginable ways to query the data. And the data itself often changes in unpredictable ways. These result in the need for new dimensions, new and mostly redundant star schemas and their indexes, maintenance difficulties in handling slowly changing dimensions, and other problems causing the analytical environment to become overly complex, very difficult to maintain, long delays in new capabilities, resulting in an unsatisfactory environment for both the users and those maintaining it.
There must be a better way!
Watch this webinar to learn:
- The three technological advances in data storage that eliminate star schemas
- How these innovations benefit analytical environments
- The steps you will need to take to reap the benefits of being star schema-free
Modernizing Integration with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3CMqS0E
Today, businesses have more data and data types combined with more complex ecosystems than they have ever had before. Examples include on-premise data marts, data warehouses, data lakes, applications, spreadsheets, IoT data, sensor data, unstructured, etc. combined with cloud data ecosystems like Snowflake, Big Query, Azure Synapse, Amazon S3, Redshift, Databricks, SaaS apps, such as Salesforce, Oracle, Service Now, Workday, and on and on.
Data, Analytics, Data Science and Architecture teams are struggling to provide the business users with the right data as quickly and efficiently as possible to quickly enable Analytics, Dashboards, BI, Reports, etc. Unfortunately, many enterprises seek to meet this pressing need by utilizing antiquated and legacy 40+ year-old approaches. There is a better way. Proven by thousands of other companies.
As Forrester so astutely reported in their recent Total Economic Impact Study, companies who employed Data Virtualization reported a “65% decrease in data delivery times over ETL” and an “83% reduction in time to new revenue.”
Join us for this very educational webinar to learn firsthand from Denodo Technologies and Fusion Alliance how:
- Data Virtualization helps your company save time and money by eliminating superfluous ETL pipelines and data replication.
- Data Virtualization can become the cornerstone of your modern data approach to deliver data faster and more efficiently than old legacy approaches at enterprise scale.
- How quickly and easily, Data Virtualization can scale, even in the most complex environments, to create a universal abstraction semantic model(s) for all of your cloud, on premise, structured, unstructured and hybrid data
- Data Mesh and Data Fabric architecture patterns for maximum reuse
- Other customers have used, and are using, Data Virtualization to tackle their toughest data integration and data delivery challenges
- Fusion Alliance can help you define a data strategy tailored to your organization’s needs and requirements, and how they can help you achieve success and enable your business with self-service capabilities
Power BI has in its DNA the goal of enabling everybody to experience their data any way, anywhere—in seconds and at global scale.
Power BI offers a set of capabilities that are uniquely enabled by its global and cloud nature:
The ability to harness data from Excel spreadsheets, on-premises data sources through the data gateway, big data, streaming data, and cloud services. It doesn’t matter what type of data you want or where it lives, Power BI allows you to connect to hundreds of data sources.
Out-of-the box SaaS content packs that deliver a curated experience with pre-built dashboards to get you up and running quickly. We have hundreds of ISVs building content packs to cater to the needs of millions of Power BI users.
Unmatched, unique ways for users to experience their data with speed and agility:
Live dashboards that maintain a real-time pulse on the business and provide critical insights.
Natural language query that enables users to simply and intuitively ask questions of their data, including through Cortana.
Custom visuals that bring data to life and surface intelligence hidden in the sea of data, with our community leveraging the Power BI visualization stack to create new ways to visualize data in a way that makes more sense. (Now available in the Office store.)
Integration of Power BI with the Microsoft stack. Power BI is part of larger ecosystem that integrates with services like Microsoft Teams, Office 365, and Dynamics 365. These services are aware of Power BI, are wired to Power BI, and enable you to use Power BI in the context of your work.
Anywhere access to insights. Whether in the office or on-the-go, Power BI provides anywhere access to insights with dashboards accessible via the desktop, on the web, or across mobile devices. Inside Excel, embedded—we have hundreds of ISVs embedding Power BI in their offerings.
Power BI Tutorial For Beginners | Power BI Tutorial | Power BI Demo | Power B...Edureka!
( Power BI Training - https://www.edureka.co/power-bi-training )
This Edureka videoon "Power BI Tutorial" will provide you with the fundamental knowledge on Power BI (Blog: https://goo.gl/uFTDU3). Below are the topics covered in this tutorial:
1. Why do we need Business Intelligence?
2. What is Self Service Business Intelligence?
3. Why Power BI?
4. What is Power BI?
5. Demo: Report and Dashboard Creation
Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
This presentation will give you an overview of what Microsoft Power BI is. What are its features. Why it is an upcoming popular Data Visualization tool in the market. How to use it and comparison with other Visualization tools.
In this webinar, our special guest panelist, Chris Wagner, the Director of Data Solutions at Baker Tilly, a Microsoft MVP, and founder of KratosBI.com discussed how Power BI capabilities can help your organization visualize your data and showcase your impact.
You will also learn what Microsoft Fabric is all about, best practices, tips, and tricks from one of the most popular YouTubers in the data world!
Power BI is a business analytics service that enables you to see all of your data through a single pane of glass. Live Power BI dashboards and reports...
For business users, always using AI is about easy access to the tools without writing any code. This session is not about learning how to do AI but how to make AI usable and add value.
AI powered visuals such as Key Influencer in Power BI desktop to analyse the data without deep knoledge of the machine learning concepts.
Machine Learning is approaching a peak of inflated expectations, although we see AI daily and in all contexts. Media pressure is high, governments are overly optimistic, plenty of ventures are putting money in unviable ideas or some brilliant engineers fail to reach business users.
But Microsoft bring all of this under the same roof and unleash the power of AI by integrating Power BI ecosystem with Azure ML and Cognitive services. The result is as simple and effective as great technology at end-user's hand.
The slide deck from data and analytics workshop for HR professionals. Presented in @hrtechgroup event in Microsoft Vancouver. The workshop was built around the HR sample partner data set
https://docs.microsoft.com/en-us/power-bi/sample-human-resources
Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. This is a huge deck with lots of screenshots so you can see exactly how it works.
Achieving Business Transformation with UiPath RPACelonis
UiPath delivers the most advanced Enterprise RPA Platform, built for business and IT. As you strive to benefit from the opportunities of the “Automation First” era, your digital transformation can be accelerated here. And UiPath RPA is constantly adding new AI skills that can be applied to more complex use cases. Join Christian Berg, Director of AI Product Management, and Bella Liu, AI Partnership Lead to learn how UiPath RPA is enabling robots to address process automation end to end with new AI skills powered by Celonis.
Presenters:
Bella Liu, AI Partnership Lead, UiPath
Christian Berg, Director of AI Product Management, UiPath
This our kick-off session for the RPA Summer School program. In this session we will provide you with the tools and information needed to go smoothly through our following 3 sessions. We will address the introduction into RPA and UiPath StudioX technology.
18:00 Hello & welcome to RPA Summer School
18:05 Introduction to RPA technology and processes
18:35 Introduction to UiPath StudioX: download, install, features
18:55 Small automation demo using StudioX
19:00 Interaction and Q&A
19:20 Academy follow-up and examples.
Learn about the three advances in database technologies that eliminate the need for star schemas and the resulting maintenance nightmare.
Relational databases in the 1980s were typically designed using the Codd-Date rules for data normalization. It was the most efficient way to store data used in operations. As BI and multi-dimensional analysis became popular, the relational databases began to have performance issues when multiple joins were requested. The development of the star schema was a clever way to get around performance issues and ensure that multi-dimensional queries could be resolved quickly. But this design came with its own set of problems.
Unfortunately, the analytic process is never simple. Business users always think up unimaginable ways to query the data. And the data itself often changes in unpredictable ways. These result in the need for new dimensions, new and mostly redundant star schemas and their indexes, maintenance difficulties in handling slowly changing dimensions, and other problems causing the analytical environment to become overly complex, very difficult to maintain, long delays in new capabilities, resulting in an unsatisfactory environment for both the users and those maintaining it.
There must be a better way!
Watch this webinar to learn:
- The three technological advances in data storage that eliminate star schemas
- How these innovations benefit analytical environments
- The steps you will need to take to reap the benefits of being star schema-free
Modernizing Integration with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3CMqS0E
Today, businesses have more data and data types combined with more complex ecosystems than they have ever had before. Examples include on-premise data marts, data warehouses, data lakes, applications, spreadsheets, IoT data, sensor data, unstructured, etc. combined with cloud data ecosystems like Snowflake, Big Query, Azure Synapse, Amazon S3, Redshift, Databricks, SaaS apps, such as Salesforce, Oracle, Service Now, Workday, and on and on.
Data, Analytics, Data Science and Architecture teams are struggling to provide the business users with the right data as quickly and efficiently as possible to quickly enable Analytics, Dashboards, BI, Reports, etc. Unfortunately, many enterprises seek to meet this pressing need by utilizing antiquated and legacy 40+ year-old approaches. There is a better way. Proven by thousands of other companies.
As Forrester so astutely reported in their recent Total Economic Impact Study, companies who employed Data Virtualization reported a “65% decrease in data delivery times over ETL” and an “83% reduction in time to new revenue.”
Join us for this very educational webinar to learn firsthand from Denodo Technologies and Fusion Alliance how:
- Data Virtualization helps your company save time and money by eliminating superfluous ETL pipelines and data replication.
- Data Virtualization can become the cornerstone of your modern data approach to deliver data faster and more efficiently than old legacy approaches at enterprise scale.
- How quickly and easily, Data Virtualization can scale, even in the most complex environments, to create a universal abstraction semantic model(s) for all of your cloud, on premise, structured, unstructured and hybrid data
- Data Mesh and Data Fabric architecture patterns for maximum reuse
- Other customers have used, and are using, Data Virtualization to tackle their toughest data integration and data delivery challenges
- Fusion Alliance can help you define a data strategy tailored to your organization’s needs and requirements, and how they can help you achieve success and enable your business with self-service capabilities
Power BI has in its DNA the goal of enabling everybody to experience their data any way, anywhere—in seconds and at global scale.
Power BI offers a set of capabilities that are uniquely enabled by its global and cloud nature:
The ability to harness data from Excel spreadsheets, on-premises data sources through the data gateway, big data, streaming data, and cloud services. It doesn’t matter what type of data you want or where it lives, Power BI allows you to connect to hundreds of data sources.
Out-of-the box SaaS content packs that deliver a curated experience with pre-built dashboards to get you up and running quickly. We have hundreds of ISVs building content packs to cater to the needs of millions of Power BI users.
Unmatched, unique ways for users to experience their data with speed and agility:
Live dashboards that maintain a real-time pulse on the business and provide critical insights.
Natural language query that enables users to simply and intuitively ask questions of their data, including through Cortana.
Custom visuals that bring data to life and surface intelligence hidden in the sea of data, with our community leveraging the Power BI visualization stack to create new ways to visualize data in a way that makes more sense. (Now available in the Office store.)
Integration of Power BI with the Microsoft stack. Power BI is part of larger ecosystem that integrates with services like Microsoft Teams, Office 365, and Dynamics 365. These services are aware of Power BI, are wired to Power BI, and enable you to use Power BI in the context of your work.
Anywhere access to insights. Whether in the office or on-the-go, Power BI provides anywhere access to insights with dashboards accessible via the desktop, on the web, or across mobile devices. Inside Excel, embedded—we have hundreds of ISVs embedding Power BI in their offerings.
Power BI Tutorial For Beginners | Power BI Tutorial | Power BI Demo | Power B...Edureka!
( Power BI Training - https://www.edureka.co/power-bi-training )
This Edureka videoon "Power BI Tutorial" will provide you with the fundamental knowledge on Power BI (Blog: https://goo.gl/uFTDU3). Below are the topics covered in this tutorial:
1. Why do we need Business Intelligence?
2. What is Self Service Business Intelligence?
3. Why Power BI?
4. What is Power BI?
5. Demo: Report and Dashboard Creation
Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
This presentation will give you an overview of what Microsoft Power BI is. What are its features. Why it is an upcoming popular Data Visualization tool in the market. How to use it and comparison with other Visualization tools.
In this webinar, our special guest panelist, Chris Wagner, the Director of Data Solutions at Baker Tilly, a Microsoft MVP, and founder of KratosBI.com discussed how Power BI capabilities can help your organization visualize your data and showcase your impact.
You will also learn what Microsoft Fabric is all about, best practices, tips, and tricks from one of the most popular YouTubers in the data world!
In this webinar, our special guest panelist, Chris Wagner, the Director of Data Solutions at Baker Tilly, a Microsoft MVP, and founder of KratosBI.com discussed how Power BI capabilities can help your organization visualize your data and showcase your impact.
You will also learn what Microsoft Fabric is all about, best practices, tips, and tricks from one of the most popular YouTubers in the data world!
Power BI Create lightning fast dashboard with power bi & Its Components Vishal Pawar
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips, You will learn all latest and greatest features of Power BI.
SqlSaturday#699 Power BI - Create a dashboard from zero to heroVishal Pawar
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips.
Learn how to create Power BI Dashboard from scratch.
Top 60 Power BI Interview Questions and Answers for 2023.pdfDatacademy.ai
Description:-
Power BI is a business analytics service provided by Microsoft. It allows users to create reports and dashboards based on various data sources, such as Excel, databases, and online services. With Power BI, users can visualize and analyze their data, and share their insights with others in their organization. Power BI offers a range of features, including data modeling, data visualization, reporting, and collaboration. It is available as a standalone service, or as part of various Office 365 plans. Power BI is designed to be user-friendly, so that people with little or no technical expertise can use it to gain insights from their data.we are provide top 60 Power BI Interview Questions and Answers for 2023.
Visit by :-https://www.datacademy.ai/power-bi-interview-questions/
Project Cortex, UI Flows, Power Virtual Agent, Private Teams Channel and many more MS Ignite highlights.
We have received an enormous number of updates and announcement in the last week's Microsoft Ignite event. Some of the changes will be game-changer – how we implement solutions for our business and customers. In this meetup we will share some major highlight from the Ignite news. We will also dig deeper for some of the announcements.
Power BI vs Tableau - An Overview from EPC Group.pptxEPC Group
Power BI and Tableau are two dominating business intelligence technologies, and many enterprises use either of them. Both the tools collect, integrate, analyze, and present business data. They assist you in performing data analysis, data manipulation, and data visualization to extract sense from raw business data.
Businesses, learners, and practitioners often find it hard to decide which tool is best for them. We organized this webinar to discuss some significant differences between Power BI and Tableau and help you find the best BI tool suiting your requirements.
Key Points of Discussion:
-History of Power BI and Tableau
-Cost of Power BI and Tableau
-Performance and Functionality of -Power BI vs. Tableau
-User Interface of Power BI and Tableau
-Data Sources in Power BI and Tableau
PowerBI following the Business Applications summit has changed it's colors and added a lot of new capabilities functionalities and long requested features. This is the slide deck for the Vancouver user group review June 2019
Groupby -Power bi dashboard in hour by vishal pawar-Presentation Vishal Pawar
Power BI Dashboard in an hour with Various Slides.
Target Audience:
Useful for Develops and DBA those who want to know what is Power BI and How we can utilize various features.
Also session will be useful for anyone who wants learn Power BI from basic.
Abstract:
In this session, We will walk through various features of Power BI, How Power BI can transform your company’s data into rich visuals and Easy yet powerful Analytics solutions for your whole organization.
At end of session with following Power BI Dashboard example
sp_Blitz in Dashboard
SQL Server Info Dashboard
Twitter Dashboard
World Dashboard
Most important takeaways from session –
You will be learning basics of Power BI with the additional perk of analyzing sp_Blitz in Power BI.
Various features of Power BI making you from ZERO to HERO
After this session, you will be able to analyze data into Power BI
Machine learning applications are typically stitched together from hopes and dreams, shell scripts, cron jobs, home-grown schedulers, snippets of configuration clipped from multiple blog posts, thousands of hard-coded business rules, a.k.a. "our SQL corpus," and a few lines of training and testing code. Organizing all the moving parts into something maintainable and supportive of ongoing development is a challenge most teams have on their TODO list, roadmap, or tech debt pile. Getting ahead of the day-to-day demands and settling into a sane architecture often seems like an unattainable goal. The past several years have seen an explosion of tool-building in the data engineering and analytics area, including in Apache projects spanning the areas of search and information retrieval, job orchestration, file and stream formats, and machine learning libraries. In this talk we will cover our product and development teams' choices of architecture and tools, from data ingestion and storage, through transformations and processing, to presentation of results and publishing to web services, reports, and applications.
#History of #PowerBI
Introduction of #DigitalTransformation
Introduction of #PowerPlatform and how #PowerBI fits in.
Building Blocks of #PowerBI
Showed a #real-life scenario
At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Ente...Inside Analysis
The Briefing Room with Wayne Eckerson and Birst
Live Webcast on March 4, 2014
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=573944bdf3e01bfb977fa9f3d1d623c2
At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Enterprise - Mar. 4
The Briefing Room with Wayne Eckerson and Birst
Cloud BI, once a novelty, is now going mainstream. More and more organizations are adopting Cloud BI and folding it in their BI strategy. Learn what considerations are necessary to determine if Cloud BI should be part of your multi-platform BI architecture.
Register for this episode of The Briefing Room to learn from veteran Analyst Wayne Eckerson as he explains what to consider when choosing cloud-based solutions. He will be briefed by Brad Peters of Birst, who will tout his company’s enterprise-caliber cloud BI platform. Peters will describe how the coexistence of cloud applications and traditional environments can provide the kind of agility and flexibility that can lead to faster time to value.
Visit InsideAnlaysis.com for more information.
Starting in May 2010, with SQL Server 2008 R2, Microsoft began talking more and more about "Personal BI". The focus of this discussion was a paradigm shift moving business intelligence from being something a few BI professionals do with a data warehouse to a practice done by Information Workers every day in familiar tools like Microsoft Excel and SharePoint. Over the course of this session we will show you the improvements that Microsoft has made in the 2013 stack to take this new focus from being a “nice idea” to a truly powerful reality. We will explore the improvements made to Excel, PowerPivot & Power View, & Reporting Services. We will explain the underlying technology that makes the new features possible and walk through demos of some of the shinier toys. At the end of the session you will walk away with a better understanding of what is new in 2013 for business intelligence and an extreme desire to build reusable data model that will undoubtedly bring real value to your business.
BI: new of the buzz words that everyone is talking about but what is it? How can it be used to make a impact in my organization? How do I get started? This session was delivered for SharePoint Saturday Reston.
Similar to Machine Learning at Hand with Power BI (20)
Cybersecurity and Generative AI - for Good and Bad vol.2Ivo Andreev
The presentation is an extended in-depth version review of cybersecurity challenges with generative AI, enriched with multiple demos, analysis, responsible AI topics and mitigation steps, also covering a broader scope beyond OpenAI service.
Popularity, demand and ease of access to modern generative AI technologies reveal new challenges in the cybersecurity landscape that vary from protecting confidentiality and integrity of data to misuse and abuse of technology by malicious actors. In this session we elaborate about monitoring and auditing, managing ethical implications and resolving common problems like prompt injections, jailbreaks, utilization in cyberattacks or generating insecure code.
Architecting AI Solutions in Azure for BusinessIvo Andreev
The topic is about Azure solution architectures that involve IoT and AI to solve common business domain problems. With near real time recommender system and an object detection with image recognition we review the architecture, build from the ground-up and illustrate how the typical realistic challenges could be addressed.
Cybersecurity Challenges with Generative AI - for Good and BadIvo Andreev
The presentation is an extended in-depth version review of cybersecurity challenges with generative AI, enriched with multiple demos, analysis, responsible AI topics and mitigation steps, also covering a broader scope beyond OpenAI service.
Popularity, demand and ease of access to modern generative AI technologies reveal new challenges in the cybersecurity landscape that vary from protecting confidentiality and integrity of data to misuse and abuse of technology by malicious actors. In this session we elaborate about monitoring and auditing, managing ethical implications and resolving common problems like prompt injections, jailbreaks, utilization in cyberattacks or generating insecure code.
JS-Experts - Cybersecurity for Generative AIIvo Andreev
Popularity, demand and ease of access to modern generative AI technologies reveal new challenges in the cybersecurity landscape that vary from protecting confidentiality and integrity of data to misuse and abuse of technology by malicious actors. In this session we elaborate about monitoring and auditing, managing ethical implications and resolving common problems like prompt injections, jailbreaks, utilization in cyberattacks or generating insecure code.
This is a totally different perspective of LLMs
How do OpenAI GPT Models Work - Misconceptions and Tips for DevelopersIvo Andreev
Have you ever wondered why GPT models work? Do you ask questions like:
◉ How does GPT work? Why does the same problem receive different answers for different users? Is there a way to improve explainability? ◉ Can GPT model provide its sources? Why does Bing chat work differently? What are my ways to have better performance and improve completions? ◉ How can I work with data in my enterprise? What practical business cases could a generative AI model fit solving?
If you are tired of sessions just scratching the surface of OpenAI GPT, this one will go deeper and answer questions like why, why not and how.
Key Terms; ChatGPT Enterprise; Top Questions; Enterprise Data; Azure Search; Functions; Embeddings; Context Encoding; General Intelligence; Emerging Abilities; Chain of Thought; Plugins; Multimodal with DALL-E; Project Florence
OpenAI GPT in Depth - Questions and MisconceptionsIvo Andreev
OpenAI GPT in depth – misconceptions and questions you would like answered
Have you ever wondered why GPT models work? Do you ask questions like:
How does GPT work? Why does the same problem receive different answers for different users? Is there a way to improve explainability? Can GPT model provide its sources? Why does Bing chat work differently? What are my ways to have better performance and improve completions? How can I work with data in my enterprise? What practical business cases could a generative AI model fit solving?
If you are tired of sessions just scratching the surface of OpenAI GPT, this one will go deeper and answer questions like why, why not and how.
Cutting Edge Computer Vision for EveryoneIvo Andreev
Microsoft offers a wide range of tools and advanced solutions to support you in managing computer vision related tasks.
From purely coding approaches with ML.NET, through zero-code ComputerVision.ai to advanced and flexible AI service in Azure ML, there is a solution for every need and each type of person.
From running on premises, through managed infrastructure to completely cloud services the speed of getting to the desired results and the return of investment are guaranteed.
Join this session to get insights about the options, deployment, pricing, pros and cons compared and select the most appropriate tech for your business case.
Collecting and Analysing Spaceborn DataIvo Andreev
Communicating with space and analysing satellite data
Azure reached beyond the clouds and bring space-born satellite data to your subscription for analysis and discovering insights.
Satellite as a service, Azure Orbital and a whole new ecosystem signal the ambition to push the limits and explore new opportunities.
In this session we are talking about geospatial AI-based analysis and a comprehensive flow that will allow you touch a vector of increasing importance for extending the cloud and helping businesses make tactical decisions.
Collecting and Analysing Satellite Data with Azure OrbitalIvo Andreev
Azure reached beyond the clouds and bring space-born satellite data to your subscription for analysis and discovering insights.
Satellite as a service, Azure Orbital and a whole new ecosystem signal the ambition to push the limits and explore new opportunities.
In this session we are talking about geospatial AI-based analysis and a comprehensive flow that will allow you touch a vector of increasing importance for extending the cloud and helping businesses make tactical decisions.
Azure Orbital - a fully managed cloud-based ground station as a service that enables you to communicate with your spacecrafts or satellites and generate products for customers.
AZ orbital handles machine-machine communication for the user based on the schedule and TLE location of satellites.
Azure software modules decrypt satellite data and prepare for usage.
Since Nov 2021 AZ cognitive for language is having a fresh tool – the Language Studio which is now in Preview. The studio offers multiple prebuilt and preconfigured models which allow you to quickly implement, test and deploy tasks like understanding conversational language, extracting information, classifying text or answering questions. But it goes further and offers multiple features to create, train and deploy custom models that model your data and serves your needs best. Language Studio does that by utilizing workflows that let developers build models without the need of ML knowledge and deploy the results as handy APIs.
Cosmos DB is among the top databases, with its strengths being in a flexible, extremely scalable hosted model, high SLA, low latency, globally distributed, automatic indexing, 2-dimensional redundancy and granular access level. But how does it suit IoT scenarios and for what scenarios is it appropriate?
Forecasting time series powerful and simpleIvo Andreev
Time series are a sequence of data points positioned in order of time. Time series forecasting has two main purposes - to understand the mechanisms that lead to rise or fall, and to predict future values. Very often it analyses trends, cyclical events, seasonality and has unique importance in Economics and Business. The quality of predictions can be evaluated only in future due to temporal dependencies on previous data points and there are many model types for approximation. In this session we are going to talk about challenges, ways of improvement and technology stack like ML.NET, ARIMA, Python, Azure ML, Regression and FB Prophet
Constrained Optimization with Genetic Algorithms and Project BonsaiIvo Andreev
Traditional machine learning requires volumes of labelled data that can be time consuming and expensive to produce,”
“Machine teaching leverages the human capability to decompose and explain concepts to train machine learning models
direction (teaching the correct answer is not by showing the data for it, but by using a person to show the answer).
Project Bonsai is a low code platform for intelligent solutions but with a different perspective on data it allows a completely new approach to tasks, especially when the physical world is involved. Under the hood it combines machine teaching, calibration and optimization to create intelligent control systems using simulations. The teaching curriculum is performed using a new language concept - “Inkling” and training a model is easy and interactive.
Azure security guidelines for developers Ivo Andreev
Azure security baselines and benchmarks, Security Maturity Model, Industrial Internet Consortium IIC , Certification, Web Application Firewall, API Management Service
Autonomous Machines with Project BonsaiIvo Andreev
Autonomous machines rely on fusion of many technologies to sense, plan, optimize and act as if an intelligent superhuman is in control.
Project Bonsai is a machine teaching service that combines machine learning (ML), calibration and optimization to create intelligent control systems using simulations. The teaching curriculum is performed using a proprietary “Inkling” language close to JavaScript and training a model is easy and interactive. Join this session for a Bonsai jump start and a demo and try it yourself – it is free.
Global azure virtual 2021 - Azure LighthouseIvo Andreev
Azure Lighthouse provides capabilities to perform cross-tenant management at scale.
We do this by providing you the ability to view and manage multiple customers from a single context.
Building a scalable business model in the cloud is a real challenge that is of uncomparable complexity compared to project-based solutions.
If you want to offer a solution in the cloud and onboard multiple customers, the next step would be to consider how would you deploy, maintain and monitor such environment. What is Azure Lighthouse and how to make your first steps following good practices is the response to that question and the main topic of our session.
Flux QL - Nexgen Management of Time Series Inspired by JSIvo Andreev
The time series landscape evolves fast to meet the aggressive challenges in IoT. Influx 2.0 Beta was released in the first days of 2020 and although being already Top 1 time series database it introduces a revolutionary change again. InfluxDB 2 is now generally available and its key features are originate from Flux - a functional and open source 4th generation analytical programming language inspired by JavaScript. Supported in VS Code it takes a new approach towards data exploration of time series data and enables some unmatched capabilities like enrichment and filtering of time series data with external data from RDBMS.
Azure architecture design patterns - proven solutions to common challengesIvo Andreev
Building a reliable, scalable, secure applications could happen either following verified design patterns or the hard way - following the trial and error approach. Azure architecture patterns are a tested and accepted solutions of common challenges thus reducing the technical risk to the project by not having to employ a new and untested design. However, most of the patterns are relevant to any distributed system, whether hosted on Azure or on other cloud platforms.
Industrial IoT from the Ground up with Azure and Open Source
IIoT leverages the power of machines and realtime analytics to pick up on industrial inefficiencies and problems sooner, and save time and money in addition to supporting BI efforts. In a myriad of reference architectures it is up to experience and trial-error to find out what really works in a real life scenario.
We will review the challenges and solutions in building an IIoT platform from the ground up on the edge between Azure and open source in order to have the best from both worlds. Technical focus will be on IoT Edge, TS Insights, Stream Analytics, IoT Hub, App Insights, Event Grid, Service Bus, ARM templates, Influx DB, Grafana and more - all neatly glued together by Azure Functions.
The Power of Auto ML and How Does it WorkIvo Andreev
Automated ML is an approach to minimize the need of data science effort by enabling domain experts to build ML models without having deep knowledge of algorithms, mathematics or programming skills. The mechanism works by allowing end-users to simply provide data and the system automatically does the rest by determining approach to perform particular ML task. At first this may sound discouraging to those aiming to the “sexiest job of the 21st century” - the data scientists. However, Auto ML should be considered as democratization of ML, rather that automatic data science.
In this session we will talk about how Auto ML works, how is it implemented by Microsoft and how it could improve the productivity of even professional data scientists.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Enhancing Research Orchestration Capabilities at ORNL.pdf
Machine Learning at Hand with Power BI
1. April 27
GLOBAL AZURE BOOTCAMP IS POWERED BY:
Machine Learning at Hand with Power BI
How Developers and Data Scientists could
Bring AI to the Business User
2. Thanks to our Sponsors:
Global Sponsor:
Platinum Sponsors:
Gold Sponsors:
Silver Sponsors: Swag Sponsor:
General Sponsor:
3. About me
• Software Architect @
o 17+ years professional experience
• Microsoft Azure MVP
• External Expert Horizon 2020
• External Expert Eurostars-Eureka, InnoFund Denmark
• Business Interests
o Web Development, SOA, Integration
o IoT, Machine Learning, Computer Intelligence
o Security & Performance Optimization
• Contact
ivelin.andreev@icb.bg
www.linkedin.com/in/ivelin
www.slideshare.net/ivoandreev
4. AGENDA
The ML Hype
The ML Features in PBI
PBI Premium, Pro, Embedded
Auto ML
Quick Insights
Text Analytics
Key Influencers
Custom R/Python
Demo
5. “Difference between ML and AI?
- If it is written in Python, probably it is ML.
- If it is written in PowerPoint, probably it is AI.”
* * *
“When you’re fundraising, it’s AI. When you’re hiring, it’s ML.
When you’re implementing, it’s linear regression.“
* * *
“How many data scientists it takes to change a light bulb?
(A data scientist at heart would say “None, as it is a HW problem”)
In fact it is 20 seniors and 1 intern.
Data scientists will argue over a month on the right approach,
the intern will copy the solution from StackOverflow.”
Wondering why AI does not Provide the Expected
6. Gartner’s Hype Cycle
3. Trough of
disillusionment
4. Slope of
enlightment
5. Plateau of
productivity
Expectations
Time
1. Technology
Launch generates
significant interest
2. A peak of inflated
expectations
7. “Business impact from AI initiatives takes much longer than
anticipated”
* * *
“Classical ML techniques are extremely
underrated.”
* * *
“…many organizations are pushing to apply deep learning
techniques without even understanding how they apply to their
current initiatives.”
* * *
“Through 2022, over 75% of organizations will
use DNNs for use cases that could be
addressed using classical ML techniques”
Chirag Dekate,
Sr. Research Director
9. Users are Drowning in Data
• Environment generates massive data volumes
• Understanding requires AI for exploration
• Users are asking to get insights with no code
The Microsoft Approach
• Place AI in the hands of the end-users
• Expose backend data science work
10. Microsoft Place AI in the Hands of End-Users
• Azure Cognitive Services
o ML algorithms to extract information from unstructured sources
o Vision, speech and facial recognition, language understanding
• Key Driver Analysis
o Help users understand what combination of impact features determines a KPI
o Automatically point most important factors
• Integrate ML models in PBI
o Azure ML models shared by data scientists to business analysts
• Own ML Models in PBI
o Business Analysts produce own ML models without writing code
o Use Automated ML features targeting users, rather than developers
11. PBI Target Audience, Licensing and Pricing
• PBI Portfolio
o On-Premises: Desktop, Mobile, Report Server
o Service: Free, Pro, Premium(EM/P SKU), Embedded (A SKU)
• New AI features N/A in Pro
o AI Preview requires A2 SKU but provisioning fails on A2 SKU
o Hint: Create on A4, downscale to A2
• “A” SKUs identical to “EM/P”
o Pro – 8.8 EUR User/ М (Shared)
o A1 SKU – 630 EUR / M (equals EM1)
o A2 SKU – 1’256 EUR / M (equals EM2)
o A3 SKU – 2’518 EUR / M (equals EM3)
o A4 SKU – 5’041 EUR / M (equals P1)
o A5 SKU – 10’087 EUR / M (equals P2)
o A6 SKU – 20’180 EUR / M (equals P3)
PBI
User
Licensing
PBI Free PBI Pro
Capacity
Licensing
P SKU EM SKU A SKU
A SKU EM SKU P SKU
Purchase Azure O365 O365
Sharing
Use Case
Embedded rep. Embedded rep.
SharePoint
MS Teams
Embedded rep.
SharePoint
MS Teams
PBI Apps
Billing Hourly Monthly Monthly
Commitment No Year/Month Year/Month
12. PBI Service - Pro vs Premium
PRO PREMIUM
Highlights License individual users
• Create content
• Consume content
License capacity to serve multiple users:
• No additional cost to view content
• Creators still need PBI Pro
Size Small-medium deployments (i.e. 200 users) Cost efficient from 500 viewers
Cost Calculator: https://powerbi.microsoft.com/en-us/calculator/
Hardware • Shared capacity=shared resources
• Limitations ensure QoS (1GB file size)
• Dedicated hardware, consistent performance
• Larger data volumes (10GB file size)
Functionality • Dataset refresh - 8 times / 24h • Dataset refresh – 48 times / 24h
• PBI Report Server
• Data flows
• AI workloads
• Embedded deployment
• Sharing, Personalization, Geolocation
13. Power BI Pro AI Features
• Key Influencers
• Quick Insights
• Cognitive services (manual)
• Python / R script
Power BI Premium AI Features
• AI insights & Cognitive Services
• Automated ML
14. Automated ML in PBI (Preview)
• Enables Business Analyst to create and train model directly in PBI
• Requires Premium Workspace
• Supports Binary Prediction, Classification and Regression models
• Auto ML Service automatically
o Extracts meaningful parameters from query
o Splits data in training and validation dataset
o Performs training with multiple models
o Summarizes accuracy of model
o Apply model to future data for predictive insights
o AI insights allow direct access to Cognitive services
https://sqlbits.com/Sessions/Event18/Power_BI_Premium_on_a_budget
https://docs.microsoft.com/en-us/power-bi/service-machine-learning-automated
18. PBI Desktop Quick Insights
Use insights in Power BI Desktop to explain
increases and decreases seen in visuals
Text Analytics
Use Azure Cognitive Services text analytics
APIs to enrich dataset in PBI M Query
19. Quick Insights
What is “Quick Insights”:
• Sophisticated ML against dataset and output to formatted visuals
• Output visuals can be integrated in reports
How it works:
o PBI Service: Datasets > … > “Generate Quick Insights”
o PBI Desktop: Data point > right-click > “Analyze”
Key Limitations:
o Not executed against DirectQuery, Streaming and Live connect
o Non-numeric measures are not supported
o Power BI Desktop is limited to the local dataset
20. Text Analytics in Azure with Power BI
• What is “Text Analytics”:
o Identify meaning and topics from unstructured data
• Limitations:
o Up to 17 languages supported (Apr 2019)
• How it works:
o Register Azure Cognitive Services Text API Key
o M-language query from new Power Query
21. Text Analytics (Step by Step)
1. Create new query in left queries panel
2. Open View > “Advanced Editor”
3. Write the M-code function query
4. On target query, add function column
5. Set column, func. query and parameter
6. Use column in report (i.e. WordCloud)
➀➁
➂
➃
➄
22. Key Influencers Visual
Explain the factors that drive a metric of
interest
Top Segments
Explain what combination of factors are
most influential
23. Key Influencers (preview)
One of the key ML usages is to find hidden insights
What is “Key Influencers”:
• Understand factors that impact a metric of interest
• Understand the importance of each factor
• Top segment factor combinations
Limitations
o Works for categorical & numeric fields
o Not supported for measures and aggregates
o Not supported in PBI Embedded and Mobile
Note: Increasing the number of categories to analyze
means there are fewer observations per category.
24. The Key Influencers Visual
1. Tabs
o Top contributors / Top segments
2. Metric of interest
3. Restatements
o Help to interpret the pane visuals
4. Average line
o Determined by factors in black
5. Checkbox
o Show only influencers
➀
➁
➂ ➂
➃
➄
25. The Top Segments Visual
1. Impact of combination of factors on metric
2. Metric of interest
3. Order of segments
o Ranked by % of metric of interest
o Higher proportion ⇨ higher bubble
4. Segment distribution details
o Number of data points ⇨ size of segments
5. Drill down
o Segment details and deep dive
➁
➃
➀
➂
➄
➄
26. How does Key Influencers Work
Key Influencers
• Runs on ML.NET framework
• Logistic regression to search patterns
• For target category
o Split data points “Category” vs “Not the Category”
o Determine features that distinguish two classes
• Features with little data points are not
considered factors
Top Segments
• Runs on ML.NET framework
• Decision trees to find subgroups
• For each factor
o Decide on best split
o Check representative set reached
• Filters are grouped into segments
27. Custom AI with Python/R
PBI models with custom and
R/Python visuals
28. Custom AI with Python/R
• PBI Visuals & Power Query with Python since Feb 2019 (preview Aug 2018)
• PBI Desktop automatically detects runtimes
o Install: https://www.python.org/downloads/, https://www.rstudio.com/
o Packages: pip install [name]; install.packages(‘[name]', dependencies = TRUE)
• Very good for interactive reports trained from past data
• Key Limitations
o 150’000 rows, 250MB, 2MB image, 1 GB RAM
o 60s (Service) / 300s (Desktop)
o PBI Service: limited packages; Python 2.7 and 3.7
• Python IDEs (write and debug Python script)
o Jupyter NB? ML Workbench? VS2019 Python Support
29. PBI Prediction with Custom Model
https://towardsdatascience.com/how-to-predict-values-from-a-custom-r-model-in-power-bi-3364f83b0015
* Publish to web is currently
not supported for R visuals
(April 2019)
30. Takeaways & References
• About Automated Machine Learning
o https://docs.microsoft.com/en-us/azure/machine-learning/service/concept-automated-ml
• Power BI Guided Learning
o https://docs.microsoft.com/en-us/power-bi/guided-learning/
• Azure Data-AI-IoT (Samples, Training & Tutorials)
o https://github.com/Azure/data-ai-iot
• PBI for Data Science
o https://www.pbiusergroup.com/communities/community-
home?CommunityKey=5b43099c-d801-49ed-af87-f1da8311f41e
• PBI Samples
o https://docs.microsoft.com/en-us/power-bi/sample-datasets
• Starter Books