Power BI - WHat It Is, How It Works, and Why It MattersJohn White
An overview of the Power BI offering from Microsoft as of the November 2013 Preview. Presentation covers the components that make it up, how they interact and function, and the role of the Power BI in the market.
Power BI - WHat It Is, How It Works, and Why It MattersJohn White
An overview of the Power BI offering from Microsoft as of the November 2013 Preview. Presentation covers the components that make it up, how they interact and function, and the role of the Power BI in the market.
this presentation will show the advantage and disadvantages of using Power BI software in the Business. Power BI is a software that can help people to analyze their business.
A simplified version of my presentation:
- PowerBI solution architecture
- Key steps to visualize data in PowerBI
- PowerBI Demo
- R in PowerBI
- Custom Visuals
- PowerBI Report Server
- Azure services and Power BI
vOffice365 - May 2016 - Overview of Microsoft's Power BI - Sean WallbridgeRegroove
"Power BI Overview - May 2016" Presentation by Sean Wallbridge, Principal Consultant with itgroove and SharePoint Server MVP. Delivered at SharePoint Users Group in Victoria, British Columbia, Canada on May 19, 2016.
"Power BI" is the new hip buzzword in the Office 365 community. You may have seen it pop up in your Office 365 Task Switcher. Want to learn more? Join Sean for an overview of how this business analytics tool is helping organizations bring their data to life.
His presentation covers a brief history of Microsoft's Business Intelligence and an overview of the Power BI Components followed and a live demo of the tool.
Power BI is truly a platform that has come into existence to uplift the enterprise picks of the respective companies. This unique direction in a way holds a lot of significance and it is very important to understand this area as well.
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
Get technically equipped to grow and build your Power BI (Business Intelligence) practice, enabling you to offer new solutions and services to customers. With Power BI, you can transform your customers' data into rich visuals they can collect and organize, helping them focus on what matters most to their businesses.
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...
Power BI (Business Intelligence) is a new and emerging self-service business intelligence and business analytics framework that brings together and enhances a few key Microsoft technologies. Fundamentally, Power BI is considered a premium Office option, because Microsoft licenses it that way. We will answer the following questions:
◾What makes Power BI different from the Microsoft Office I have known for years?
◾What are the major Power BI features in Excel 2013 and 2010?
◾What are the major features for Power BI for Office 365?
◾How can our team license Power BI?
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")
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
Are you really curious about Power BI Dashboards, but you are scared that you won’t understand any of the words? This is the session for you! During our short time together, I will define some basic terms and best practices in Data Analysis, provide a quick demo of Power BI, and show what it takes to create a few simple reports and dashboards.
What Will You Learn?
• How to ask the right questions
• How to quickly get and model data
• How to design easy reports and dashboards
#ATAGTR2021 Presentation : "Use of AI and ML in Performance Testing" by Adolf...Agile Testing Alliance
Interactive Session on "Use of AI and ML in Performance Testing" by Adolf Patel Performance Test Architect Cognizant at #ATAGTR2021.
#ATAGTR2021 was the 6th Edition of Global Testing Retreat.
The video recording of the session is now available on the following link: https://www.youtube.com/watch?v=ajyPSmmswpM
To know more about #ATAGTR2021, please visit:https://gtr.agiletestingalliance.org/
this presentation will show the advantage and disadvantages of using Power BI software in the Business. Power BI is a software that can help people to analyze their business.
A simplified version of my presentation:
- PowerBI solution architecture
- Key steps to visualize data in PowerBI
- PowerBI Demo
- R in PowerBI
- Custom Visuals
- PowerBI Report Server
- Azure services and Power BI
vOffice365 - May 2016 - Overview of Microsoft's Power BI - Sean WallbridgeRegroove
"Power BI Overview - May 2016" Presentation by Sean Wallbridge, Principal Consultant with itgroove and SharePoint Server MVP. Delivered at SharePoint Users Group in Victoria, British Columbia, Canada on May 19, 2016.
"Power BI" is the new hip buzzword in the Office 365 community. You may have seen it pop up in your Office 365 Task Switcher. Want to learn more? Join Sean for an overview of how this business analytics tool is helping organizations bring their data to life.
His presentation covers a brief history of Microsoft's Business Intelligence and an overview of the Power BI Components followed and a live demo of the tool.
Power BI is truly a platform that has come into existence to uplift the enterprise picks of the respective companies. This unique direction in a way holds a lot of significance and it is very important to understand this area as well.
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
Get technically equipped to grow and build your Power BI (Business Intelligence) practice, enabling you to offer new solutions and services to customers. With Power BI, you can transform your customers' data into rich visuals they can collect and organize, helping them focus on what matters most to their businesses.
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...
Power BI (Business Intelligence) is a new and emerging self-service business intelligence and business analytics framework that brings together and enhances a few key Microsoft technologies. Fundamentally, Power BI is considered a premium Office option, because Microsoft licenses it that way. We will answer the following questions:
◾What makes Power BI different from the Microsoft Office I have known for years?
◾What are the major Power BI features in Excel 2013 and 2010?
◾What are the major features for Power BI for Office 365?
◾How can our team license Power BI?
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")
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
Are you really curious about Power BI Dashboards, but you are scared that you won’t understand any of the words? This is the session for you! During our short time together, I will define some basic terms and best practices in Data Analysis, provide a quick demo of Power BI, and show what it takes to create a few simple reports and dashboards.
What Will You Learn?
• How to ask the right questions
• How to quickly get and model data
• How to design easy reports and dashboards
#ATAGTR2021 Presentation : "Use of AI and ML in Performance Testing" by Adolf...Agile Testing Alliance
Interactive Session on "Use of AI and ML in Performance Testing" by Adolf Patel Performance Test Architect Cognizant at #ATAGTR2021.
#ATAGTR2021 was the 6th Edition of Global Testing Retreat.
The video recording of the session is now available on the following link: https://www.youtube.com/watch?v=ajyPSmmswpM
To know more about #ATAGTR2021, please visit:https://gtr.agiletestingalliance.org/
Neotys organized its first Performance Advisory Council in Scotland, the 14th & 15th of November.
With 15 Load Testing experts from several countries (UK, France, New-Zeland, Germany, USA, Australia, India…) we explored several theme around Load Testing such as DevOps, Shift Right, AI etc.
By discussing around their experience, the methods they used, their data analysis and their interpretation, we created a lot of high-value added content that you can use to discover what will be the future of Load Testing.
You want to know more about this event ? https://www.neotys.com/performance-advisory-council
Preparing for Holiday Performance, API editionSmartBear
1. Why you should have an API performance strategy in place before the holiday rush
2. The effects of API performance on theuser’s experience
3. Challenges simulating load and themetrics that matter most in API performance
Learn How to Design, Build and Map Services to Quantifiable Measurements in S...Splunk
IT departments are most effective when IT services are measured against business objectives and defined performance indicators. But tracking performance of these services has historically been a challenge.
This webinar explains how you can design, build and map performance of your IT services—improving support of critical business functions, processes and applications.
Topics include:
-Best practices to design and build an effective service model
-Techniques to deconstruct a service into its component parts
-How to build meaningful “glass tables” in Splunk ITSI for real-time insights into service health and key performance indicators
Practical Explainable AI: How to build trustworthy, transparent and unbiased ...Raheel Ahmad
This presentation is from the Federated & Distributed Machine Learning Conference. This talk focuses on why we need explainable AI and how can we build models that are trustworthy, transparency and unbiased.
Prithvi Prabhu + Shivam Bansal, H2O.ai - Building Blocks for AI Applications ...Sri Ambati
This session was recorded in NYC on October 22nd, 2019 and can be viewed here: https://www.youtube.com/watch?v=xAhQAYV5_PY&list=PLNtMya54qvOE3AvWRCNF2tybxNobUbAYp&index=3&t=2s
Bio: Prithvi is Chief of Technology, Applications at H2O.ai. Prithvi leads the design and development of “Q”, H2O.ai’s high scale exploratory data analysis and analytical application development platform.
Prithvi has been with H2O.ai since its early days and has been responsible for several products including Driverless AI (our flagship automatic machine learning platform), Steam (distributed cluster management, model management and deployment for H2O), H2O.js (Javascript transpiler for H2O’s distributed runtime), Play (on-demand cloud provisioning system for H2O), Flow (a hybrid GUI/REPL/Notebook for H2O) and Lightning (statistical graphics for H2O).
Bio: Shivam Bansal is a Data Scientist at H2O.ai and Kaggle Grandmaster in Kernels Section. He is the three times winner of Kaggle’s Data Science for Good Competition and winner of multiple other offline AI and Data Science competitions.
Shivam has extensive cross-industry and hands-on experience in building data science products. He has helped clients in the Insurance, Healthcare, Banking, and Retail domains to solve unstructured data science problems by building end to end pipelines and solutions.
Exploring What a Typical Data Science Project Looks LikeProduct School
What does a typical Data Science Project look like? Explore the current Business Analytics Landscape : Get past the Jargon into actual business cases. The co-founder of Bowery Analytics, Ania Wieczorek, talked about how Data Science is the newest hot trend in the world of business and what it really means. She took the audience through a real case and explained what the project lifecycle looks like from a business perspective. We also discussed specific steps a typical data science project goes through, the outputs you will see and the jargon being used.
Intro to Data Analytics with Oscar's Director of ProductProduct School
The Director of Product at Oscar, Vasudev Vadlamudi, went over key types of quantitative analysis that B2C product managers use on the job including: funnels, cohorts, and a/b testing. For each one he looked into when and why they are used, and used examples.
ATAGTR2017 Machine Learning telepathy for Shift Right approach of testingAgile Testing Alliance
The presentation on Machine Learning telepathy for Shift Right approach of testing was done during #ATAGTR2017, one of the largest global testing conference. All copyright belongs to the author.
Author and presenter : Santhosh GS
How can you implement machine learning and artificial intelligence without having to build your own? In this webinar, we explore APIs, how companies are providing them "as-a-service" and how Ogilvy is applying machine learning to shopper reviews.
Over 90% of today’s data has been generated in the last two years, and growth rates continue to climb. In this session, we’ll step through challenges and best practices with data capturing, how to derive meaningful insights to help predict the future, and common pitfalls in data analysis.
Come discover how integrated solutions involving Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon Machine Learning/Deep Learning result in effective data systems for data scientists and business users, alike.
We Will Discuss »
- Organizational and technical challenges of turning big data into valuable business insights
- Should you collect as much data as you can and worry about analyzing it later?
- Recommendations for enterprises to navigate the guardians and pitfalls of the data landscape
SplunkLive! Stockholm 2015 breakout - Splunk IT Service IntelligenceSplunk
Splunk's new Premium App offering, Splunk IT Service Intelligence, is full of exciting new features and functionality to enable the data-driven enterprise to monitor, alert on, and visualize these services in several new ways, including flexible free-form dashboards called "Glass Tables." Join us in this session to explore the versatility of the Glass Tables feature, discuss best practices around creating valuable and compelling Glass Tables for IT operations and business users, and inspect several examples of purpose-built Glass Tables.
Open Data Science Conference Agile DataDataKitchen
To rephrase an old saying: ‘It takes a village to raise an Analyst.’ Data Analysts and Scientists are working in teams delivering insight and analysis on an ongoing basis. So how do you get the team to support experimentation and insight delivery without ending up in an IT Engineer vs Analyst vs Data Governance war? We present 5 shocking steps to get these teams of people working together with practical, doable steps that can help you achieve data agility.
To rephrase an old saying: ‘It takes a village to raise an Analyst.’ Data Analysts and Scientists are working in teams delivering insight and analysis on an ongoing basis. So how do you get the team to support experimentation and insight delivery without ending up in an IT Engineer vs Analyst vs Data Governance war? We present 5 shocking steps to get these teams of people working together with practical, doable steps that can help you achieve data agility. The speaker has decades of hands on and executive management experience in data, analytics, and software development.
User group presentation that was delivered 13/01/2022 for the Power BI and Excel User group in Baku. Introduction to Power Automate and working with Power BI and Power Automate
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
The slide deck for the Power Platform Presentation in SQL Saturday Redmond 2019. We have reviewed the power Platform Components, why is it better together and how to make it happen. During the demo all the options of implementation between the Power Apps and PowerBI were demonstrated. Including the data visualization changes with new data feed. Use some of the following ideas in your organization and POC's for more complex implementations.
Visual Guidance to build an optimized report for PowerBI
What are the components to be considered in your governance policy, how to make the report comprehensive in 1 glance and what should the report consumers get (a pretty report is not your spec...)
Governance in the ever-changing PowerBI world for the organization
Best practices
deployment recommendations
Security settings
Reporting on the reports and optimizations
*According to all the new features and capabilities as by March 2019, will probably change again very soon.
Comparing the current PowerBI version and the Azure ML Lab for basic predictive models. A 101 session accompanied by live demos (not attached). Difinity conference New Zealand
The current Microsoft PowerBI governance enabling and recommendations. Including the changes following the November PowerBI release and PASS conference announcements.
What is Governance policy in the organization?
Why do we need it in PowerBI? How is it connected to groups and other O365 components?
Presented in Redmond SQL Saturday 2018
The slide deck for my presentation at the Vancouver PowerBI user group September 2017. Latest and updates in PowerBI - PAge drill, Ribbon, colorful visuals. Custom Visual gallery and comparing 20 custom visuals. The Reports can be found int he Data Story Gallery: https://community.powerbi.com/t5/Data-Stories-The Anime Example: https://community.powerbi.com/t5/Data-Stories-Gallery/Anime-Rating/m-p/252271
The fish example: https://community.powerbi.com/t5/Data-Stories-Gallery/Fish/m-p/251903
The You tube video (45 min of a 60 min lecture): https://www.youtube.com/watch?v=aigmvBp-uX4&t=3s
Slides deck for the PowerBI and Office 365 solution for a small business "Oil Test Systems"
Full presentation in my Youtube channel or in my site: YanaBerkovich.com
How to do Product Management for a small business using Groups, PowerBI, Flow, Planner and SharePoint. Some ideas and the Product Management Process. Presented at SharePoint Saturday Vancouver
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf
Ai in power platform
1. Yana Berkovich Data Platform MVP
@yana_Berkovich
YanaBerkovich.com
AI in PowerBI
Vancouver PBI User Group
Joseph Yeates,
@FthrsAnalytics
https://feathersanalytics.com/
2. AI in Power
BI & Power
Platform
Joseph Yeates, aCAP
www.feathersanalytics.com
@FthrsAnalytics
in/josephyeates237
3. Yana Berkovich
BI Analyst& DEV, Microsoft Data Platform MVP
Consultant, Product Manager
BusinessIntelligenceand Data Visualization Consultant
https://www.linkedin.com/in/yanaberkovich
http://yanaberkovich.com
@Yana_Berkovich
4. AGENDA
• What is AI and analytics
• Natural language Query
• Simple prediction algorithm in existing visuals
• The ML model
• AI builder and image recognition
• Summary
7. WHAT IS AN ALGORITHM?
An algorithm is a set of rules to be followed in
problem solving operations
Initial Input Computation
Instructions
Produce
Output
8. SORTING ALGORITHM EXAMPLE
Sorting algorithm takes an unsorted list, applies pre-
determined instructions and produces a sorted list
Unsorted
List
Sorting
Instructions
Sorted List
10. WHAT IS ARTIFICIAL INTELLIGENCE?
Artificial Intelligence is “intelligence”
demonstrated by machines
11. TYPES OF ARTIFICIAL INTELLIGENCE
Artificial intelligence
applied to a specific task
Applied
AI
General
AI
Ability to accomplish a
variety of cognitive tasks
12. DIFFERENT TYPES OF ANALYTICS
• AI is in the Predictive
analytics space, we
are predicting based
on the past the
future observations
13. WHAT IS MACHINE LEARNING?
Machine Learning is an application of Artificial
Intelligence that learns to construct Algorithms
from experience
15. Lifeexp by year line by country
Pop by continent column sort by pop
Average gdpPercap by average lifeExp scatter by
country legend continent
Gdppercap by top 10 country in year 2007
ASK A QUESTION
17. THE FIRST STEP – EXPLORING AND VISUALIZING YOUR DATA –
QUICK INSIGHTS
Quick insights mode
Quick insights mode
18. ADDING INFORMATION TO OUR DATA
VISUALIZATION
PowerBI
Min value line
Max value line
Trend line – we can see that the AVG delay time
increases?
Expediential Smooth
Seasonality – 7 points (week in a month)
Ignore last 10 points – to check our prediction
Forecast length- to see what the other 7 days will
look like
19. STATISTICS…(YES WE KINDA HAVE TO)
WHICH PREDICTION MODEL ARE WE USING?
Average
Single Exponential Smoothing
Exponential smoothing is a rule of thumb
technique for smoothing time series data using
the exponentialwindow function. Whereas in the
simple moving average the past observations
weighted equally,exponential functions are used
to assignexponentially decreasing weights over
time.
( Wikipedia to the rescue… )
Moving Average
The last month might be a better prediction for
flights than the last 20 months
Weighted Moving Average
Some observations are more significant than
others, flights of a domastic flight company have
different performance and cannot be compared to
others or big vs small planes
Can be chosen, for the single smoothing, between 0.1
and 0.9, is chosen through a local optimal minimum
value
We choose the best value for α so the value which
results in the smallest MSE. (Mean of Square Errors)
20. ADDING INFORMATION TO OUR DATA
VISUALIZATION
PowerBI – How can we explain the predicted results?
Trend line – we can see that the AVG delay time
increases?
Possible explanations for this prediction and what can we do about it – Prescriptive Analytics
• End of October - Thanksgiving?
• Weather changes at the airports for the worse
• The trend line doesn’t continue for the predicted data
• How can we control the Alpha? Well in Power View for O365, not in PowerBI yet
24. THE AI BUILDER - POWERAPPS
PowerBI is no longer a “single in the mingle” it has a family – the power platform
So How do we do AI with the PowerPlatform?
Meet the AI builder
25. THE AI BUILDER HOW TO BUILD YOUR ON AI?
Create the
terms in CDM
Create new
model
Select type -
image
Add picturesAdd TagsTrain
Save Test
Add to an
application
31. AND THE RESULT?
With Ken’s help, 1 Goose was successfully
detected in the picture!
32. BUT WAIT…GOOGLE CAN DETECT MY MOM IN
EVERY PICTURE SO WHAT’S SO EXCITING
ABOUT THIS GOOSE CHASE?
• You can add the AI feature right into your own
application
• Building inspection object detection in the
application
• Business Data and Business Pictures
• One Drive for Business or Azure repository and files
management
• CDM – the tagging is an object in your Common
Data Model not stand alone object
Editor's Notes
I am a Data Analyst at BlueShore Financial in North Vancouver, British Columbia and hold my Certified Analytics Professional Designation.
I use SQL Server, R Studio, and Power Query in Excel & Power BI to model, manipulate, analyze, and visualize data.
I also run internal information sessions on predictive analytics and training sessions on Power Query and Power BI.
I’m also a member and regularly speak at the Vancouver Power BI User Group.
My website is Feathers Analytics .com, where I blog about all things Power BI and R
but most importantly – how to bring the different strengths of these tools together to build powerful solutions that provide actionable insights.
– Joseph adds his slides – Joseph makes introduction and adds the slides
Yana to add the data flow and prediction model for aiplanes and not bike buyers
What is a ML model – Yana to add a slide
Slide about premium
Joseph to add all the AI