In the past, getting insights from the data using machine learning (ML) and artificial intelligence (AI) required experts with coding skills and knowledge of math & statistics. The scarcity of talent and huge infrastructure set up cost, often makes it difficult for organizations to get early results from their Machine Learning initiatives.
Through this webinar, we will learn how 'No Code AI' tools make it possible to leverage the power of machine learning without needing to code. It is helping business analysts, domain experts, and business decision-makers to experiment and get started with quick-win Machine Learning projects.
What you'll learn
- Traditional vs No Code AI Process
- Best practices to accelerate machine learning adoption
- Demo: How organizations are deploying machine learning models without coding expertise within hours, not weeks
Complete No code solution to Machine Learning using Azure ML Studio. The aim of this presentation is to discuss the capability of Azure ML Studio in enabling any novice to perform ML experiments.
Salesforce Einstein: Use Cases and Product Features
#ImpactSalesforceSaturday Session
by @newdelhisfdcdug
Date and Time
Saturday, June 29, 2019
11:30 AM – 12:30 pm
Location: Online
A warm welcome to all the members and Guests in the meetup.
Join us for #ImpactSalesforceSaturday a series of online Salesforce Saturday sessions.
We invite all – Developers – Administrators – Group Leaders – Consultants with advanced, intermediate or beginner level knowledge on Salesforce(Sales Cloud, Service Cloud, Pardot, Marketing Cloud, IOT, CPQ, Einstein, etc).
Speaker: Jayant Joshi
Jayant is a Salesforce Technology Delivery Architect and Manager (Multi-Cloud) working on Large and Mid Size CRM Implementation Projects. Overall, He has around 14 years of CRM delivery experience with 9+ years in Salesforce.com Projects and Opportunities. He is very passionate about emerging technologies and has a deep interest in major innovations around the world. He has 19 Salesforce Certifications and accreditations currently and is passionate about various Salesforce Products including Salesforce Einstein.
Agenda
a. Introduction
b. Salesforce Einstein – Products and Use Cases
c. Q & A
Join us for another #ImpactSalesforceSaturday, a series of online Salesforce Saturday sessions.
We invite all – Developers – Administrators – Group Leaders – Consultants with advanced, intermediate or beginner level knowledge on Salesforce(Sales Cloud, Service Cloud, Pardot, Marketing Cloud, IOT, CPQ, Einstein, etc).
Topic: Introduction (Four Pillars of Einstein)
Date and Time: Sunday, November 1, 2020,
11:00 AM to 12:00 PM IST
Speaker: Abhinav Garg
Abhinav is a Salesforce Einstein Analytics Certified Consultant.
Agenda:
1. Set up and Einstein App
2. Permissions and Licenses required
3. Getting data from Different sources
4. Basic overview of Dashboard designer
These are the slides of the session I presented at Global Power Platform Bootcamp at Microsoft, Bangalore. While it was a demo heavy session on RPA, the slides give an insight to the rise of the powerapps in the enterprise.
Empowering you - Power BI, Power Platform & AI BuilderRui Quintino
Slides for the "Microsoft Empowering You" webinar about Power BI, Power Apps, Power Automate & AI Builder by DevScope.
Explore how Power Platform & AI Builder can enrich your Power BI experience.
Watch the full session at https://youtu.be/IhwiESvFaxg
(English subtitles available)
Complete No code solution to Machine Learning using Azure ML Studio. The aim of this presentation is to discuss the capability of Azure ML Studio in enabling any novice to perform ML experiments.
Salesforce Einstein: Use Cases and Product Features
#ImpactSalesforceSaturday Session
by @newdelhisfdcdug
Date and Time
Saturday, June 29, 2019
11:30 AM – 12:30 pm
Location: Online
A warm welcome to all the members and Guests in the meetup.
Join us for #ImpactSalesforceSaturday a series of online Salesforce Saturday sessions.
We invite all – Developers – Administrators – Group Leaders – Consultants with advanced, intermediate or beginner level knowledge on Salesforce(Sales Cloud, Service Cloud, Pardot, Marketing Cloud, IOT, CPQ, Einstein, etc).
Speaker: Jayant Joshi
Jayant is a Salesforce Technology Delivery Architect and Manager (Multi-Cloud) working on Large and Mid Size CRM Implementation Projects. Overall, He has around 14 years of CRM delivery experience with 9+ years in Salesforce.com Projects and Opportunities. He is very passionate about emerging technologies and has a deep interest in major innovations around the world. He has 19 Salesforce Certifications and accreditations currently and is passionate about various Salesforce Products including Salesforce Einstein.
Agenda
a. Introduction
b. Salesforce Einstein – Products and Use Cases
c. Q & A
Join us for another #ImpactSalesforceSaturday, a series of online Salesforce Saturday sessions.
We invite all – Developers – Administrators – Group Leaders – Consultants with advanced, intermediate or beginner level knowledge on Salesforce(Sales Cloud, Service Cloud, Pardot, Marketing Cloud, IOT, CPQ, Einstein, etc).
Topic: Introduction (Four Pillars of Einstein)
Date and Time: Sunday, November 1, 2020,
11:00 AM to 12:00 PM IST
Speaker: Abhinav Garg
Abhinav is a Salesforce Einstein Analytics Certified Consultant.
Agenda:
1. Set up and Einstein App
2. Permissions and Licenses required
3. Getting data from Different sources
4. Basic overview of Dashboard designer
These are the slides of the session I presented at Global Power Platform Bootcamp at Microsoft, Bangalore. While it was a demo heavy session on RPA, the slides give an insight to the rise of the powerapps in the enterprise.
Empowering you - Power BI, Power Platform & AI BuilderRui Quintino
Slides for the "Microsoft Empowering You" webinar about Power BI, Power Apps, Power Automate & AI Builder by DevScope.
Explore how Power Platform & AI Builder can enrich your Power BI experience.
Watch the full session at https://youtu.be/IhwiESvFaxg
(English subtitles available)
ทีมงาน MVPSkill ร่วมกับบริษัท ไมโครซอฟต์ (ประเทศไทย) จำกัดขอเชิญผู้สนใจเข้าร่วมงาน “Power Platform Series : App in a day in Action” งานที่จะมาพาผู้เข้าร่วมงานทุกท่านเดินทางสู่การพัฒนา Application ขึ้นใช้เองในองค์กรอย่างง่ายๆ โดยใช้ Power Platforms ที่มีประสิทธิภาพ และอำนวยความสะดวกให้ท่านเป็นอย่างมาก ท่านจะสามารถพัฒนา Application ขึ้นเองได้โดยเขียน Code เพียงไม่กี่บรรทัด (หรืออาจจะไม่ต้องเขียนเลยก็ได้)
MongoDB.local Austin 2018: Building Intelligent Apps with MongoDB & Google CloudMongoDB
Intelligent apps are emerging as the next frontier in analytics and application development. Learn how to build intelligent apps on MongoDB powered by Google Cloud with TensorFlow for machine learning and DialogFlow for artificial intelligence. Get your developers and data scientists to finally work together to build applications that understand your customer, automate their tasks, and provide knowledge and decision support.
ทีมงาน MVPSkill ร่วมกับบริษัท ไมโครซอฟต์ (ประเทศไทย) จำกัดขอเชิญผู้สนใจเข้าร่วมงาน “Power Platform Series : App in a day in Action” งานที่จะมาพาผู้เข้าร่วมงานทุกท่านเดินทางสู่การพัฒนา Application ขึ้นใช้เองในองค์กรอย่างง่ายๆ โดยใช้ Power Platforms ที่มีประสิทธิภาพ และอำนวยความสะดวกให้ท่านเป็นอย่างมาก ท่านจะสามารถพัฒนา Application ขึ้นเองได้โดยเขียน Code เพียงไม่กี่บรรทัด (หรืออาจจะไม่ต้องเขียนเลยก็ได้)
Personalizing B2B Buying with Salesforce Einstein AnalyticsDocmation
Every customer wants to feel special. They want to be given personalized attention and care, be it a B2C or B2B purchase.
For more: https://docmation.com/personalizing-b2b-buying-with-salesforce-einstein-analytics/
Building Intelligent Apps with MongoDB & Google CloudMongoDB
Intelligent apps are emerging as the next frontier in analytics and application development. Learn how to build intelligent apps on MongoDB powered by Google Cloud with TensorFlow for machine learning and DialogFlow for artificial intelligence. Get your developers and data scientists to finally work together to build applications that understand your customer, automate their tasks, and provide knowledge and decision support.
MongoDB.local Sydney 2019: Building Intelligent Apps with MongoDB & Google CloudMongoDB
Intelligent apps are emerging as the next frontier in analytics and application development. Learn how to build intelligent apps on MongoDB powered by Google Cloud with TensorFlow for machine learning and DialogFlow for artificial intelligence. Get your developers and data scientists to finally work together to build applications that understand your customer, automate their tasks, and provide knowledge and decision support.
How to leverage artificial intelligence in power apps with ai builder Concetto Labs
Microsoft introduced Artificial Intelligence in PowerApps with an AI builder. You will need PowerApp developers well-versed with the AI builder functions.
How Salesforce's sales cloud helps companies of all sizes grow faster?Atocloud
Salesforce help you to handle every single opportunity through your mobile even with no internet connectivity and flourish business in the right direction.
Read More - https://www.atocloud.com/blog/how-salesforces-sales-cloud-helps-companies-of-all-sizes-grow-faster
ทีมงาน MVPSkill ร่วมกับบริษัท ไมโครซอฟต์ (ประเทศไทย) จำกัดขอเชิญผู้สนใจเข้าร่วมงาน “Power Platform Series : App in a day in Action” งานที่จะมาพาผู้เข้าร่วมงานทุกท่านเดินทางสู่การพัฒนา Application ขึ้นใช้เองในองค์กรอย่างง่ายๆ โดยใช้ Power Platforms ที่มีประสิทธิภาพ และอำนวยความสะดวกให้ท่านเป็นอย่างมาก ท่านจะสามารถพัฒนา Application ขึ้นเองได้โดยเขียน Code เพียงไม่กี่บรรทัด (หรืออาจจะไม่ต้องเขียนเลยก็ได้)
Marketing cloud for salesforce admins Pakistan Dreamin' 2021Kerry Townsend
Session primarily focuses on Salesforce Admins that are interested in or making the transition to Marketing Cloud. Non Salesforce Admins will be exposed to both Salesforce core and Marketing Cloud terminology. The session was delivered at Pakistan Dreamin' 18th Sept '21.
Salesforce Tableau CRM AKA Einstein Analytics helps customers to get predictive analysis of their data, scattered over multiple systems at one platform
Hidden Gems That Give You Greater Power on Your Salesforce B2B eCommerce Plat...Docmation
With Docmation, You can explore the features it has become even easier to Scale Up for Growth with Salesforce Commerce Cloud Quick-Start Solutions.
https://docmation.com/hidden-gems-that-give-power-on-salesforce-b2b-ecommerce-platform/
Introduction to Power Platform
Low Code Evolution
Who is building solutions with the Power Platform?
Why Power Platform?
Integrated low code platform
What is the Common Data Service?
Two Types of Data.
Power Apps
Power Automate
Power BI
Demo
Reference
Automate with Salesforce and across other platformsCristina Vidu
Learn how to synchronize data between Excel and Sales Cloud using the Salesforce activity pack and how to use the Salesforce Connector to automate case-close events in SFDC, triggering invoice creation automation in SAP and sending customer notifications.
No Code AI - How to Deploy Machine Learning Models with Zero Code?Skyl.ai
In the past, getting insights from the data using machine learning (ML) and artificial intelligence (AI) required experts with coding skills and knowledge of math & statistics.
The scarcity of talent and huge infrastructure set up cost, often makes it difficult for organizations to get early results from their Machine Learning initiatives. Through this webinar, we will learn how 'No Code AI' tools make it possible to leverage the power of machine learning without needing to code. It is helping business analysts, domain experts, and business decision-makers to experiment and get started with quick-win Machine Learning projects.
What you will learn:
- Traditional vs No Code AI Process
- Best practices to accelerate machine learning adoption
- Demo: How organizations are deploying machine learning models without coding expertise within hours, not weeks
test - Future of Ecommerce: How to Improve the Online Shopping Experience Usi...Skyl.ai
About the webinar
It’s no secret that a well-organized product catalog becomes extremely crucial as consumers look for a more rich and consistent online experience while E-shopping. Often, the task of digitizing the catalog of the fast-moving and large volume products becomes daunting due to insufficient, erroneous and fragmented data.
This leads us to the question: If E-commerce and fashion companies need to be agile and consumer-friendly, then why are so many still using the same product catalog management methods that were devised years ago? The manual product classification and data attribution process are only leading to an increased risk of error and time delay affecting the brand reputation. Also, leading to lost sales opportunities due to incomplete or inaccurate product records that don’t really reflect the actual product.
In this webinar, we will discuss how to efficiently manage machine learning projects without tech headaches by plugging in your data and building your models instantly.
What you'll learn
- How E-commerce companies are using AI to drive more sales and seamless customer experience
- Know the secret sauce of automating time-intensive, repetitive steps to quickly build models
- Demo: A deeper understanding of the end-to-end machine learning workflow for a fashion product catalog management using Skyl.ai
ทีมงาน MVPSkill ร่วมกับบริษัท ไมโครซอฟต์ (ประเทศไทย) จำกัดขอเชิญผู้สนใจเข้าร่วมงาน “Power Platform Series : App in a day in Action” งานที่จะมาพาผู้เข้าร่วมงานทุกท่านเดินทางสู่การพัฒนา Application ขึ้นใช้เองในองค์กรอย่างง่ายๆ โดยใช้ Power Platforms ที่มีประสิทธิภาพ และอำนวยความสะดวกให้ท่านเป็นอย่างมาก ท่านจะสามารถพัฒนา Application ขึ้นเองได้โดยเขียน Code เพียงไม่กี่บรรทัด (หรืออาจจะไม่ต้องเขียนเลยก็ได้)
MongoDB.local Austin 2018: Building Intelligent Apps with MongoDB & Google CloudMongoDB
Intelligent apps are emerging as the next frontier in analytics and application development. Learn how to build intelligent apps on MongoDB powered by Google Cloud with TensorFlow for machine learning and DialogFlow for artificial intelligence. Get your developers and data scientists to finally work together to build applications that understand your customer, automate their tasks, and provide knowledge and decision support.
ทีมงาน MVPSkill ร่วมกับบริษัท ไมโครซอฟต์ (ประเทศไทย) จำกัดขอเชิญผู้สนใจเข้าร่วมงาน “Power Platform Series : App in a day in Action” งานที่จะมาพาผู้เข้าร่วมงานทุกท่านเดินทางสู่การพัฒนา Application ขึ้นใช้เองในองค์กรอย่างง่ายๆ โดยใช้ Power Platforms ที่มีประสิทธิภาพ และอำนวยความสะดวกให้ท่านเป็นอย่างมาก ท่านจะสามารถพัฒนา Application ขึ้นเองได้โดยเขียน Code เพียงไม่กี่บรรทัด (หรืออาจจะไม่ต้องเขียนเลยก็ได้)
Personalizing B2B Buying with Salesforce Einstein AnalyticsDocmation
Every customer wants to feel special. They want to be given personalized attention and care, be it a B2C or B2B purchase.
For more: https://docmation.com/personalizing-b2b-buying-with-salesforce-einstein-analytics/
Building Intelligent Apps with MongoDB & Google CloudMongoDB
Intelligent apps are emerging as the next frontier in analytics and application development. Learn how to build intelligent apps on MongoDB powered by Google Cloud with TensorFlow for machine learning and DialogFlow for artificial intelligence. Get your developers and data scientists to finally work together to build applications that understand your customer, automate their tasks, and provide knowledge and decision support.
MongoDB.local Sydney 2019: Building Intelligent Apps with MongoDB & Google CloudMongoDB
Intelligent apps are emerging as the next frontier in analytics and application development. Learn how to build intelligent apps on MongoDB powered by Google Cloud with TensorFlow for machine learning and DialogFlow for artificial intelligence. Get your developers and data scientists to finally work together to build applications that understand your customer, automate their tasks, and provide knowledge and decision support.
How to leverage artificial intelligence in power apps with ai builder Concetto Labs
Microsoft introduced Artificial Intelligence in PowerApps with an AI builder. You will need PowerApp developers well-versed with the AI builder functions.
How Salesforce's sales cloud helps companies of all sizes grow faster?Atocloud
Salesforce help you to handle every single opportunity through your mobile even with no internet connectivity and flourish business in the right direction.
Read More - https://www.atocloud.com/blog/how-salesforces-sales-cloud-helps-companies-of-all-sizes-grow-faster
ทีมงาน MVPSkill ร่วมกับบริษัท ไมโครซอฟต์ (ประเทศไทย) จำกัดขอเชิญผู้สนใจเข้าร่วมงาน “Power Platform Series : App in a day in Action” งานที่จะมาพาผู้เข้าร่วมงานทุกท่านเดินทางสู่การพัฒนา Application ขึ้นใช้เองในองค์กรอย่างง่ายๆ โดยใช้ Power Platforms ที่มีประสิทธิภาพ และอำนวยความสะดวกให้ท่านเป็นอย่างมาก ท่านจะสามารถพัฒนา Application ขึ้นเองได้โดยเขียน Code เพียงไม่กี่บรรทัด (หรืออาจจะไม่ต้องเขียนเลยก็ได้)
Marketing cloud for salesforce admins Pakistan Dreamin' 2021Kerry Townsend
Session primarily focuses on Salesforce Admins that are interested in or making the transition to Marketing Cloud. Non Salesforce Admins will be exposed to both Salesforce core and Marketing Cloud terminology. The session was delivered at Pakistan Dreamin' 18th Sept '21.
Salesforce Tableau CRM AKA Einstein Analytics helps customers to get predictive analysis of their data, scattered over multiple systems at one platform
Hidden Gems That Give You Greater Power on Your Salesforce B2B eCommerce Plat...Docmation
With Docmation, You can explore the features it has become even easier to Scale Up for Growth with Salesforce Commerce Cloud Quick-Start Solutions.
https://docmation.com/hidden-gems-that-give-power-on-salesforce-b2b-ecommerce-platform/
Introduction to Power Platform
Low Code Evolution
Who is building solutions with the Power Platform?
Why Power Platform?
Integrated low code platform
What is the Common Data Service?
Two Types of Data.
Power Apps
Power Automate
Power BI
Demo
Reference
Automate with Salesforce and across other platformsCristina Vidu
Learn how to synchronize data between Excel and Sales Cloud using the Salesforce activity pack and how to use the Salesforce Connector to automate case-close events in SFDC, triggering invoice creation automation in SAP and sending customer notifications.
No Code AI - How to Deploy Machine Learning Models with Zero Code?Skyl.ai
In the past, getting insights from the data using machine learning (ML) and artificial intelligence (AI) required experts with coding skills and knowledge of math & statistics.
The scarcity of talent and huge infrastructure set up cost, often makes it difficult for organizations to get early results from their Machine Learning initiatives. Through this webinar, we will learn how 'No Code AI' tools make it possible to leverage the power of machine learning without needing to code. It is helping business analysts, domain experts, and business decision-makers to experiment and get started with quick-win Machine Learning projects.
What you will learn:
- Traditional vs No Code AI Process
- Best practices to accelerate machine learning adoption
- Demo: How organizations are deploying machine learning models without coding expertise within hours, not weeks
test - Future of Ecommerce: How to Improve the Online Shopping Experience Usi...Skyl.ai
About the webinar
It’s no secret that a well-organized product catalog becomes extremely crucial as consumers look for a more rich and consistent online experience while E-shopping. Often, the task of digitizing the catalog of the fast-moving and large volume products becomes daunting due to insufficient, erroneous and fragmented data.
This leads us to the question: If E-commerce and fashion companies need to be agile and consumer-friendly, then why are so many still using the same product catalog management methods that were devised years ago? The manual product classification and data attribution process are only leading to an increased risk of error and time delay affecting the brand reputation. Also, leading to lost sales opportunities due to incomplete or inaccurate product records that don’t really reflect the actual product.
In this webinar, we will discuss how to efficiently manage machine learning projects without tech headaches by plugging in your data and building your models instantly.
What you'll learn
- How E-commerce companies are using AI to drive more sales and seamless customer experience
- Know the secret sauce of automating time-intensive, repetitive steps to quickly build models
- Demo: A deeper understanding of the end-to-end machine learning workflow for a fashion product catalog management using Skyl.ai
Future of Ecommerce: How to Improve the Online Shopping Experience Using Mach...Skyl.ai
About the webinar
It’s no secret that a well-organized product catalog becomes extremely crucial as consumers look for a more rich and consistent online experience while E-shopping. Often, the task of digitizing the catalog of the fast-moving and large volume products becomes daunting due to insufficient, erroneous, and fragmented data.
This leads us to the question: If E-commerce and fashion companies need to be agile and consumer-friendly, then why are so many still using the same product catalog management methods that were devised years ago? The manual product classification and data attribution process are only leading to an increased risk of error and time delay affecting the brand reputation. Also, leading to lost sales opportunities due to incomplete or inaccurate product records that don’t really reflect the actual product.
In this webinar, we will discuss how to efficiently manage machine learning projects without tech headaches by plugging in your data and building your models instantly.
What you will learn
- How E-commerce companies are using AI to drive more sales and seamless customer experience
- Know the secret sauce of automating time-intensive, repetitive steps to quickly build models
- Demo: A deeper understanding of the end-to-end machine learning workflow for a fashion product catalog management using Skyl.ai
AI for Customer Service - How to Improve Contact Center Efficiency with Machi...Skyl.ai
About the webinar
It only takes one bad interaction for a customer to abandon a service or product. Businesses are no longer just competing with other companies’ products, they’re competing with a customer’s last service experience. All contact centers worldwide are looking for new and strategic ways to increase operational performance, reduce cost and still provide high-touch customer experiences that improve customer loyalty and highlight ways to increase revenue and productivity.
Through this webinar, we will understand how AI can augment the effort, focus and problem-solving abilities of human agents so that they can tackle more complex or creative tasks. With an abundance of data from logs, emails, chat and voice recordings, contact centers can ingest this data to provide contextual customer service at the right time with the right way providing satisfactory customer service and retain the brand value.
What you'll learn:
- How organizations are leveraging AI & Machine learning in Customer Service
- Live Demo of AI & ML in Customer Service
- Best practices to automate machine learning models
To explore more, visit: https://skyl.ai/form?p=start-trial
AI Recruitment - How Businesses Are Winning the Race for the TalentSkyl.ai
About the webinar
Have you ever faced this situation wherein your recruitment team didn’t get enough time to build a stellar candidate experience and faced a hard time sifting through thousands of resumes and scheduling calls?
According to a survey by HR.com, in today's time one in ten recruiters use AI and nearly half expect to adopt it in their recruitment process within the next 5 years to keep up with changing market pace.
Over the course of 45 minutes, you will gain insights into how AI is changing recruitment and giving companies a competitive edge.
What you'll learn:
- How organizations are leveraging AI to accelerate the search for top talent
- Live Demo of smart resume search using Natural language processing
- Best practice to automate machine learning models in hours not months
To explore more, visit: https://skyl.ai/form?p=start-trial
How to analyze text data for AI and ML with Named Entity RecognitionSkyl.ai
About the webinar
The Internet is a rich source of data, mainly textual data. But making use of huge quantities of data is a complex and time-consuming task. NLP can help with this problem through the use of Named Entity Recognition systems. Named entities are terms that refer to names, organizations, locations, values etc. NER annotates texts – marking where and what type of named entities occurred in it. This step significantly simplifies further use of such data, allowing for easy categorization of documents, analyze sentiments, improving automatically generated summaries etc.
Further, in many industries, the vocabulary keeps changing and growing with new research, abbreviations, long and complex constructions, and makes it difficult to get accurate results or use rule-based methods. Named Entity Recognition and Classification can help to effectively extract, tag, index, and manage this fast and ever-growing knowledge.
Through this webinar, we will understand how NER can be used to extract key entities from large volumes of text data
What you will learn
- How organizations are leveraging Named Entity Recognition across various industries
- Live demo - Identify & classify complex terms & with NERC (Named Entity Recognition & Categorization)
- Best practice to automate machine learning models in hours not months
Ai in insurance how to automate insurance claim processing with machine lear...Skyl.ai
Explore more at https://skyl.ai/form?p=start-trial
About the webinar
Insurance companies are looking at technology to solve complexity created by the presence of cumbersome processes and the presence of multiple entities like actuaries, support team and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
AI in Insurance: How to Automate Insurance Claim Processing with Machine Lear...Skyl.ai
About the webinar
Insurance companies are looking at technology to solve complexity created by presence of cumbersome processes and presence of multiple entities like actuaries, support team and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
What you'll learn
- How Insurance companies are using ML to drive more efficiency and business gain
- Best practices to automate machine learning models
- Demo: A deeper understanding of the end-to-end machine learning workflow for car damage recognition using Skyl.ai
How an AI-backed recommendation system can help increase revenue for your onl...Skyl.ai
About the webinar
Picture this: A customer logs onto your E-commerce platform to purchase an item. As soon as they put in the product details into the search bar, they are bombarded with a long catalog of various items that they have to painfully sort through. High chance that they leave without completing a purchase, not sure of what they should pick.
Product recommendation systems must become way better - Platforms need to understand the shopper, and provide them with best-fitting tailored products. This can be way more challenging for retailers with vast catalogs or the ones with only slight variations in products.AI/ML model for 'Recommendations' generated using Skyl.ai can help E-commerce platforms to provide a superior digital-shopping experience to its customers.
This webinar will showcase a live demo of how to build such a robust recommendation model in hours.
What you will learn
- How e-commerce companies drive sales through AI-powered product recommendation engines
- Challenges faced in ML automation and how to overcome those using a unified ML platform
- Live Demo: Demo on how to create a product recommendation system using Skyl.ai end-end ML automation platform
Twitter Sentiment Analysis in 10 Minutes using Machine LearningSkyl.ai
About the webinar:
Social media is one of the richest sources of data for brands. According to Domo's 'Data never sleeps' report, every single minute 456,000 tweets are posted on Twitter, 46,740 photos are uploaded on Instagram and 510,000 comments & 293,000 statuses are updated on Facebook.
This data contains valuable information like product feedback or reviews and information that can be used to better understand users or find valuable insights. However, traditional ways struggle to analyze the unstructured data and this is where sentiment analysis using machine learning comes to the rescue!, Machine learning can help to understand the text and extract the sentiment using Natural Language Processing. Sentiment analysis can be applied in a range of business applications like - social media channel analysis, 360-degree customer insights, user reviews, competitive analysis, and many more.
What you will learn
- How businesses are leveraging sentiment analysis to their advantage
- Best practice to automate machine learning models in hours not months
- Demo: How to build a twitter sentiment analysis model
"AI in product development revolutionizes the innovation landscape by optimizing design, streamlining project management, and enhancing quality assurance. From predictive insights to automated testing, AI transforms the product lifecycle, ensuring efficient processes, informed decision-making, and personalized user experiences. Despite challenges like data privacy concerns, embracing AI is essential for businesses seeking to stay competitive in the dynamic world of product development."
How to classify documents automatically using NLPSkyl.ai
About the webinar
Documents come in different shapes and sizes - From technical documents, customer support chat, emails, reviews to news articles - all of them contain information that is valuable to the business.
Managing these large volume data documents in a traditional manual way has been a complex and time-consuming task that requires enormous human efforts.
In this webinar, we will discuss how Machine learning can be used to identify and automatically label news articles into categories like business, politics, music, etc. This can be applied in another context like categorizing emails, reviews, and processing text documents, etc.
What you will learn
- How businesses are leveraging document classification to their advantage
- Best practice to automate machine learning models in hours not months
- Demo: Classify news articles into the right category using convolution neural network
Solving the dilemma should you build or buy aiSkyl.ai
About the webinar
Long gone are the days of questioning if your organization requires Artificial Intelligence to drive competitive advantage. 84% of businesses say AI will enable them to obtain or sustain the competitive advantage [Forbes].
AI offers highly data-driven insights, automates mundane processes, enhances customer experience, and hence increases overall efficiency. 36% of executives say their primary goal for AI is to free up workers to be more creative by automating tasks [HBR].
Businesses know what AI solutions they need but the real challenge lies in getting them implemented. AI initiatives require proper evaluation of the organizations’ ability to build in-house AI technology or buy commercially available AI applications.
Through this webinar, you will know the factors to consider while making the decision of AI implementation, and you get the answer to your biggest question - whether to build or buy AI application.
What you will learn
What factors to evaluate before making a decision to build or buy an AI solution
What will you require to build an AI model specific to your organizational need
How does building an AI solution fit into the long-term business model and help in gaining competitive advantage
AI for Customer Service: How to Improve Contact Center Efficiency with Machin...Skyl.ai
About the webinar
It only takes one bad interaction for a customer to abandon a service or product. Businesses are no longer just competing with other companies’ products, they’re competing with a customer’s last service experience. All contact centers worldwide are looking for new and strategic ways to increase operational performance, reduce cost, and still provide high-touch customer experiences that improve customer loyalty and highlight ways to increase revenue and productivity.
Through this webinar, we will understand how AI can augment the effort, focus and problem-solving abilities of human agents so that they can tackle more complex or creative tasks. With an abundance of data from logs, emails, chat, and voice recordings, contact centers can ingest this data to provide contextual customer service at the right time with the right way providing satisfactory customer service and retain the brand value.
What you will learn
- How organizations are building engaging interactions that deliver value to customers
- Best practices to automate AI/ML models
- Demo: How to route customer queries to the right department or professional
Intro to Artificial Intelligence w/ Target's Director of PMProduct School
Given that Machine Learning (ML) is on every product enthusiast’s mind, this talk gave a broad view of the investment landscape for future innovation. Director of Product Management at Target, Aarthi Srinivasan, talked about macro AI themes & trends, how you can build your AI team and how to create a ML backed product vision.
Additionally, this talk armed the attendees with enough information to create your Point of View (POV) on how to incorporate AI into your business.
How to analyze text data with Named Entity RecognitionSkyl.ai
The internet is a rich source of data, mainly textual data. But making use of huge quantities of data is a complex and time-consuming task. NLP can help with this problem through the use of Named Entity Recognition systems. Named entities are terms that refer to names, organisations, locations, values etc. NER annotates texts – marking where and what type of named entities occurred in it. This step significantly simplifies further use of such data, allowing for easy categorisation of documents, analyze sentiments, improving automatically generated summaries, etc.
Further, in many industries, the vocabulary keeps changing and growing with new research, abbreviations, long and complex constructions and makes it difficult to get accurate results or use rule-based methods. Named Entity Recognition and Classification can help to effectively extract, tag, index, and manage this fast and ever-growing knowledge.
Through this webinar, we will understand how NER can be used to extract key entities from large volumes of text data.
What you will learn:
- How organizations are leveraging Named Entity Recognition across various industries
- Live demo - Identify & classify complex terms & with NERC (Named Entity Recognition & Categorization)
- Best practice to automate machine learning models in hours not months
What Product Management Frameworks Work by Google PM LeadProduct School
Main takeaways:
-There are many types of Product Management jobs - strategic frameworks can be used to better understand the role, customer, and how best to innovate
-Horizon planning is one popular framework that can help determine useful metrics and priorities
-The Technology Layers Framework helps identify feedback channels and your closest allies
How to perform Secure Data Labeling for Machine LearningSkyl.ai
Data annotations or more commonly called data labeling are an integral part of AI and Machine Learning.
One of the biggest concerns that organizations have while doing AI and ML is handling data.
Many organizations have concerns about data security and privacy of the training data, especially highly regulated industries like Healthcare, Banking, Government, etc. where data privacy and security are paramount.
What you will learn:
- Risks associated with data annotations and how to manage data privacy and data protection
- How to handle deployments and infrastructure to manage data security
- How to manage collaborative contributors for secure data labeling to balance scale, security, cost, and quality in data labeling
AI in Quality Control: How to perform Visual Inspection with AISkyl.ai
About the webinar:
Recalls are a manufacturer’s nightmare. Failure to detect and resolve a quality problem that results in a recall costs the business millions of dollars every year, not to mention the brand damage and reputation cost. In some cases, defects can even endanger human lives when it comes to construction, food, airline, or healthcare products.
Leading manufacturers in the food industry, consumer goods, electronics, or any other production line, as well as industries like construction, utilities, etc., are employing AI-powered solutions to detect defects early and avoid defective products going live.
Machine learning can help to understand the text and extract the sentiment using Natural Language Processing. Sentiment analysis can be applied in a range of business applications like - social media channel analysis, 360-degree customer insights, user reviews, competitive analysis, and many more.
Through this webinar, we will learn how AI and Computer Vision can be used to aid visual inspections and efficiently detect defects to prevent huge money or losses to human lives.
What you will learn:
- How various industries are leveraging AI to assist in visual inspections.
- Live Demo: How to collect data, label, and train the AI model to detect defects, all within a few minutes.
How to do Secure Data Labeling for Machine LearningSkyl.ai
Data annotation or more commonly called data labeling is an integral part of AI and Machine Learning.
One of the biggest concerns that organizations have while doing AI and ML is about handling data.
Many organizations have concerns about data security and privacy of the training data, especially highly regulated industries like Healthcare, Banking, Government, etc. where data privacy and security are paramount.
What you will learn:
- Risks associated with data annotations and how to manage data privacy and data protection
- How to handle deployments and infrastructure to manage data security
- How to manage collaborative contributors for secure data labeling to balance scale, security, cost and quality in data labeling
- Live demo of a secure data labeling platform
AI in Insurance: How to Automate Insurance Claims Processing with Machine Lea...Skyl.ai
Insurance companies are looking at technology to solve complexity created by the presence of cumbersome processes and the presence of multiple entities like actuaries, support teams, and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system, and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
What you will learn:
. Deep dive into how insurance companies are adopting AI
. Discuss prominent industry use cases
. Live demo of vehicle damage assessment for insurance claims management
How AI and Machine Learning can Transform OrganizationsSkyl.ai
About the webinar
83% of businesses say AI is a strategic priority for their businesses today, while only 23% of businesses have incorporated AI into processes and product/service offerings today [source: Forbes].
Artificial intelligence and machine learning have started to disrupt the traditional way of doing business and revolutionize everything from farming to rocket science. Do you want to be left behind?
Through this webinar, we will discover how various industries are adopting technologies to innovate and disrupt their business models to increase revenue, reduce costs, improve quality and customer satisfaction as well as to handle risks.
What you will learn
- How organizations have gained benefits with AI in their business to increase revenue, reduce cost, improve quality and manage risks
- Mind-blowing Innovative and disruptive emerging AI use cases in various industry sectors
- How to leverage AI in your business to get a competitive advantage
How to do Secure Data Labeling for Machine LearningSkyl.ai
About the webinar
Data annotations or more commonly called data labeling is an integral part of AI and Machine learning.
One of the biggest concerns that organizations have while doing AI and ML is about handing data.
Many organizations have concerns about data security and privacy of the training data, especially highly regulated industries like Healthcare, Banking, Government, etc. where data privacy and security are paramount.
What you will learn
- Risks associated with data annotations and how to manage data privacy and data protection
- How to handle deployments and infrastructure to manage data security
- How to manage collaborative contributors for secure data labeling to balance scale, security, cost and quality in data labeling
- Live demo of a secure data labeling platform
AI in Quality Control: How to do visual inspection with AISkyl.ai
About the webinar
Recalls are a manufacturer’s nightmare. Failure to detect and resolve a quality problem that results in a recall costs the business millions of dollars every year, not to mention the brand damage and reputation cost. In some cases, defects can even endanger human lives when it comes to construction, food, airline, or healthcare products.
Leading manufacturers in the food industry, consumer goods, electronics, or any other production line, as well as industries like construction, utilities, etc. are employing AI-powered solutions to detect defects early and avoid the defective products going live.
Machine learning can help to understand the text and extract the sentiment using Natural Language Processing. Sentiment analysis can be applied in a range of business applications like - social media channel analysis, 360-degree customer insights, user reviews, competitive analysis, and many more.
Through this webinar, we will learn how AI and Computer Vision can be used to aid visual inspections and efficiently detect defects to prevent huge money or losses to human lives.
What you will learn
- How various industries are leveraging AI to assist in visual inspections.
- Live Demo: How to collect data, label and train the AI model to detect defects, all within a few minutes.
- Address the challenges of AI & Machine learning and how to overcome them.
AI in Healthcare: How to Implement Medical Imaging Using Machine Learning?Skyl.ai
About the webinar
According to a report “The Digital Universe Driving Data Growth in Healthcare,” published by EMC with research and analysis from IDC, Hospitals are producing 50 petabytes of data per year. Almost 90% of this data is comprised of medical imaging i.e. digital images from scans like MRIs or CTs. More than 97% of this data goes unanalyzed or unused.
The top healthcare institutions across the globe are adopting AI in medical imaging to increase speed and imaging accuracy, monitor data in real-time, and eliminate the need for humans to do time-consuming and complex tasks. This has been enabling doctors to optimize treatment approaches, speed of care, and interconnected health conditions.
Through this webinar, you will understand how AI can be used to automate routine processes and procedures and help radiologists to identify patterns, and help in treating patients with critical conditions quickly.
What you will learn:
- How healthcare institutions are leveraging AI to augment decision making, prevent medical errors, and reduce costs in medical imaging
- Discuss the approach to automate machine learning workflow, creating and deploying models in hours, not weeks or months
- Demo: How to detect pneumonia from chest x-rays using AI within a few minutes using skyl.ai
AI in Healthcare: Can AI Help in Diagnosing CoronavirusSkyl.ai
About the webinar
The entity that has caused a newfound global love of hand sanitizers and masks? The Coronavirus (known as ‘2019-nCov’ or ‘Covid-19), which has infected about 5,00,000 people globally within a few months!
According to the WHO: 'In the most severe cases, the infection can cause pneumonia, severe acute respiratory syndrome, and even death.' Statements like these beg the question: 'How accurate are the tests to spot the disease?' 'Can AI assist in giving a more accurate diagnosis?'
The AI Model generated via Skyl.ai’s deep learning platform can accurately detect COVID-19 through patterns in X-ray scans and differentiate it from community-acquired pneumonia and other lung diseases that may otherwise be overlooked by a doctor.
Through this webinar, we will demo how AI can be used to test the Covid19 infections, and help in treating patients with critical conditions quickly.
What you'll learn
- How healthcare institutions can leverage AI to detect COVID-19 and reduce the time taken to provide critical care to patients who are affected.
- Discuss the approach to automate the machine learning workflow, creating and deploying models in hours and not weeks or months.
- Demo: How to create an ML model that can detect COVID-19 from chest x-rays using Skyl.ai.
How AI is Changing Medical Imaging in the Healthcare Industry Skyl.ai
About the webinar
According to a report “The Digital Universe Driving Data Growth in Healthcare,” published by EMC with research and analysis from IDC, Hospitals are producing 50 petabytes of data per year. Almost 90% of this data is comprised of medical imaging i.e. digital images from scans like MRIs or CTs. More than 97% of this data goes unanalyzed or unused.
The top healthcare institutions across the globe are adopting AI in medical imaging to increase speed and imaging accuracy, monitor data in real-time and eliminate the need for humans to do time-consuming and complex tasks. This has been enabling doctors to optimize treatment approaches, speed of care and interconnected health conditions.
Through this webinar, we will understand how AI can be used to automate routine processes and procedures and help radiologists to identify patterns, and help in treating patients with critical conditions quickly.
What you'll learn
- How healthcare institutions are leveraging AI to augment decision making, prevent medical errors, and reduce costs in medical imaging
- Discuss the approach to automate machine learning workflow, creating and deploying models in hours, not weeks or months
- Demo: How to detect pneumonia from chest x-rays using AI within a few minutes using skyl.ai
Twitter Sentiment Analysis in 10 Minutes Using Machine LearningSkyl.ai
About the webinar
Social media is one of the richest sources of data for brands. According to Domo's 'Data never sleeps' report, every single minute 456,000 tweets are posted on Twitter, 46,740 photos are uploaded on Instagram and 510,000 comments & 293,000 statuses are updated on Facebook. This data contains valuable information like product feedback or reviews and information that can be used to better understand users or find valuable insights. However, traditional ways struggle to analyze the unstructured data and this is where sentiment analysis using machine learning comes to the rescue!
Machine learning can help to understand the text and extract the sentiment using Natural Language Processing. Sentiment analysis can be applied in a range of business applications like - social media channel analysis, 360-degree customer insights, user reviews, competitive analysis, and many more.
What you'll learn
- How businesses are leveraging sentiment analysis to their advantage
- Best practice to automate machine learning models in hours not months
- Demo: How to build a twitter sentiment analysis model
How to Build an AI-powered Automatic Document Classification ModelSkyl.ai
About the webinar
Documents come in different shapes and sizes - From technical documents, customer support chat, emails, reviews to news articles - all of them contain information that is valuable to the business. Managing these large volume data documents in a traditional manual way has been a complex and time-consuming task that requires enormous human efforts.
In this webinar, we will discuss how Machine learning can be used to identify and automatically label news articles into categories like business, politics, music, etc. This can be applied in another context like categorizing emails, reviews, and processing text documents, etc.
What you'll learn
- How businesses are leveraging document classification to their advantage
- Best practice to automate machine learning models in hours not months
- Demo: Classify news articles into the right category using convolution neural network
How to Implement Biomedical Named Entity Recognition with Machine Learning Skyl.ai
Biomedical research & healthcare practices are generating information like scientific publications, transcription and EMR records in an unprecedented way. For example, the new generation of sequencing tech is helping to process billions of DNA sequence data per day. Further, Biomedical vocabulary keeps changing and growing with new research, abbreviations, long and complex constructions and makes it difficult to get accurate results or use rule-based methods. Named Entity Recognition and Classification can help to effectively tag, index and manage this fast and ever-growing knowledge.
Through this webinar, we will understand how Machine Learning can be used to automate complex processes and help in extracting key entities like the chemicals, diseases, genes, proteins, anatomical constituents, organization name, etc.
What you'll learn
- How organizations are leveraging Machine Learning in biomedical & healthcare industry
- Best practice to automate machine learning models in hours not months
- Live demo - Identify & classify complex medical terms & names with NERC
AI in Health Care: How to Implement Medical Imaging using Machine Learning?Skyl.ai
About the webinar
According to a report “The Digital Universe Driving Data Growth in Healthcare,” published by EMC with research and analysis from IDC, Hospitals are producing 50 petabytes of data per year. Almost 90% of this data is comprised of medical imaging i.e. digital images from scans like MRIs or CTs. More than 97% of this data goes unanalyzed or unused.
The top healthcare institutions across the globe are adopting AI in medical imaging to increase speed and imaging accuracy, monitor data in real-time and eliminate the need for humans to do time-consuming and complex tasks. This has been enabling doctors to optimize treatment approaches, speed of care and interconnected health conditions.
Through this webinar, we will understand how AI can be used to automate routine processes and procedures and help radiologists to identify patterns, and help in treating patients with critical conditions quickly.
What you'll learn
- How healthcare institutions are leveraging AI to augment decision making, prevent medical errors, and reduce costs in medical imaging
- Discuss the approach to automate machine learning workflow, creating and deploying models in hours, not weeks or months
- Demo: How to detect pneumonia from chest x-rays using AI within a few minutes using skyl.ai
To explore more, visit: https://skyl.ai/form?p=start-trial
Machine learning projects may seem similar to any software engineering endeavor, the reality is machine learning projects are onerous, demand high quality work from every person involved, and are sensitive to any tiny mistake.
It seems that we cannot go five years without having some massive technology shift that becomes an essential part of our day-to-day lives. So, we will start with a proper definition of machine learning and how it is changing the way businesses analyze information. We will then continue by discussing proper ways to begin machine learning projects, including weighing the feasibility of a project, planning timelines, and the stages of the machine learning workflow once you start your project.
After exploring the stages of the machine learning workflow, we will end the webinar with an example of a completed machine learning project. We will demonstrate how to create a similar project and give you the tools to create your own.
What you'll learn:
A deeper understanding of the end-to-end machine learning workflow.
The tools needed to effectively create, design, and manage machine learning projects.
The skills to define your goal, foresee issues, release models, and measure outcomes during the ML project lifecycle.
Demo: Skyl Platform for End-End machine learning workflow.
This is the slide deck for this webinar:
https://skyl.ai/webinars/guide-end-to-end-machine-learning-projects
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
No Code AI - How to Deploy Machine Learning Models with Zero Code?
1. No Code AI
How to Deploy Machine Learning
Models with Zero Code?
2. Technology leader with 20+ years expertise in Product Development, Business strategy and
Artificial Intelligence acceleration. Active contributor in the New York AI community
Extensively worked with global organizations in BFSI, Healthcare, Insurance, Manufacturing,
Retail and Ecommerce to define and implement AI strategies
Nisha Shoukath
Co-founder, People10 & Skyl.ai
The Speaker
3. Shruti Tanwar
Lead - Data Science
Extensive experience building future tech products using Machine Learning and
Artificial Intelligence.
Areas of expertise includes Deep Learning, Data Analysis, full stack development
and building world class products in ecommerce, travel and healthcare sector.
The Speaker
4. CTO & Software Architect with 15 years of experience working at the
forefront of cutting-edge technology leading innovative projects
Areas of expertise include Architecture design, rapid product
development, Deep Learning and Data Analysis
The Panelist
Bikash Sharma
CTO and Co-founder at Skyl.ai
5. All dial-in participants will be muted to enable the
presenters to speak without interruption
Getting familiar with ‘Zoom’
Questions can be submitted via Zoom Questions chat
window and will be addressed at the end during Q&A
The recording will be emailed to you after the webinar
Please familiarize yourself with the Zoom ‘Control Panel’ on your screen
6. A quick intro about Skyl.ai
ML automation platform for unstructured data
Guided Machine Learning Workflow
Build & deploy ML models faster on
unstructured data
Collaborative Data Collection & Labelling
Easy-to-use & scalable AI SaaS platform
7. ...In the next 30 minutes
Demystifying
No code AI
Live Demo: How
product managers can
deploy ML models in
minutes
1 2 3
Live Demo: Easy model
tuning & refinement
for data scientists
8. POLL #1
At what stage of Machine learning adoption your
organization is at?
⊚ Exploring - Curious about it
⊚ Planning - Creating AI/ML strategy
⊚ Experimenting - Building proof of concepts
⊚ Scaling up - Some departments are using it
⊚ In production - Using it in product features
⊚ Transforming - AI/Ml driven business
10. $4.32 bn to $21.2 billion
Increased demand for No code
development platform from 2017-
20
Forrester Research
Citizen development
is happening, and IT needs to be
more engaged.
Gartner, 2017
11. No Code Development platform uses a visual
development environment allowing users to create
apps without coding skills.
What is ‘No code’ platform?
12. Who is a Citizen Developer?
Citizen developer is a user who creates new
business applications from a corporate or
collective code base, system or structure
14. Business applications using Excel
Stock Trading Simulator Excel
Source: LetOurMoneyGrow.com
Allowed users to perform complex number crunching using Excel functions
15. No code in website
Build an Ecommerce shop
with ‘Shopify’
- Drag & drop builder
Gives power to create fully functional websites without any coding
Ecommerce shop with Magento
Manage websites & content on ‘Wordpress’ without developer intervention
16. No code in mobile
Quicker & faster app development using
‘Appsheet’
Build intuitive mobile apps without coding
Deliver a rich user experience with a robust
feature set
17. No code in Artificial Intelligence
Teachable Machine by Google
https://teachablemachine.withgoogle.com/
Fast way to create machine learning models
18. Benefits of No Code Tools
Agility Reduced
Cost
Better
productivity
Easy change
management
offset
shadow IT
19. Approach - Traditional AI
Prepare
Data
Fine-tune
models
Evaluate
model
performance
Write
prediction
API
Deploy
using
DevOps
1 3 64 52
Implement
the
algorithm
20. Approach - No Code AI
Prepare
Data
Evaluate
model
performance
1 32
Train &
fine-tune
models
Write
prediction
API
Deploy
using
DevOps
Implement
the
algorithm
21. POLL #2
Some challenges that you are facing while
implementing AI & Machine Learning
⊚ Not started yet, so no
challenges
⊚ Data collection
⊚ Data Labeling
⊚ Large volumes of data
⊚ Identifying the right data set to
train
⊚ Lack of knowledge of ML tools
⊚ Lack of end to end platform
⊚ Lack of expertise
⊚ Choosing the right
algorithms
22. Live Demo: How business
users can create ML
models in minutes
02
24. Challenges in catalog management
⊚ Inaccurate product catalog
⊚ Missing apparel attributes
⊚ Inconsistent supplier-provided product data
⊚ Time consuming and error prone human product catalog management
25. Live Demo to optimize
ecommerce catalog
management
26. No Code AI enabling Business Agility
⊚ Early visibility & transparency
⊚ Easy Collaboration
⊚ Monitor model performance real-time
⊚ Less time spent on development & feedback
⊚ No infrastructure setup cost
How it’s helping CXOs, Product Managers and Business Analysts
28. News Category
Classification
based on headline
Tag news articles by using Natural Language Processing
Business Sports Entertainment Politics Technology
31. No Code AI enabling Data Science
⊚ Faster data collection & uploading without engineering help
⊚ More time focused on fine tuning the model rather than
managing development & infrastructure work
⊚ Push button deployment without devops
⊚ Faster experimentation & quicker results
How it’s helping data scientists
35. 85 Broad Street, New York, NY, 10004
+1 718 300 2104, +1 646 202 9343
contact@skyl.ai
We hope to hear from you soon
Thank you for joining!
Editor's Notes
Hello and welcome everyone. Thank you for joining today - my name is … and I’ll be your host today for the webinar on No Code AI- How to Deploy Machine learning models with zero code- Now I’d like to take a brief moment to introduce 3 AI-expert speakers who will be sharing their knowledge today..
First we have Nisha Shoukath - Nisha is a technology entrepreneur with background in investment banking. She’s co-founded two successful technology startups and has worked with wide variety of global organizations from different industries. She helps enterprises with defining AI strategy, and AI adoption roadmaps. She’s also an active member in the New York AI community as well. Welcome, Nisha!
Next we have Shruti Tanwar - Shruti is an expert in data science who has extensive experience in building SaaS products using Machine Learning and AI.
Her expertise includes Deep Learning and Data Analysis which are some of the topics we’ll be discussing today. Welcome, Shruti!
Finally, we have an AI expert panelist joining today - Bikash Sharma. Bikash is CTO and Software Architect with 15 years of experience in leading innovative software projects and solutions. He’s co-founded Skyl.ai with his expert knowledge in AI and Machine Learning, so welcome, Bikash!
Before we begin, I’d like to talk about Zoom for a bit.
First off, all participants in the webinar will be muted to avoid any interruptions during the session.
If you have any questions during the webinar you can submit them to the Zoom Questions chat window which is located on the bottom of the Zoom screen in the controls and we’ll make sure to address them towards the end during Q&A.
Also, the recording of the webinar will be emailed to you afterwards, so don’t worry if you’ve missed any points during the session or wish to view it again
So that’s all for the introduction - now, we’ll get started with the webinar and I’ll hand it over to Nisha
Exploring - Curious about it
Planning - Creating AI/ML strategy
Experimenting - Building proof of concepts
Scaling up - Some departments are using it
In production - Using it in product features
Transforming - AI/Ml driven business
So, who are these “citizen developers”? They are individuals within a company who have access to a visual integrated development environment (IDE). Within this environment, the citizen developer is able to use drag-and-drop application components, connect them together in order to generate a new unique web or mobile application. This low-code/no-code software empowers employees to design and build powerful applications which can grow an adapt according to the needs of a business.
In the past, end-user application development has typically been limited to single-user or workgroup solutions built with tools like Microsoft Excel and Access. However, today, end users can build departmental, enterprise and even public applications using shared services, fourth-generation language (4GL)-style development platforms and cloud computing services.
Business professional creating applications like stock trading simulator or income tax submission without needing to code.
The example above is of Deriscope that includes a chart of all three quote types – bid, ask and trade price – that extend up to the time of the last received feed
Wiith the evolution of ecommerce- wordpress magento, wix , shopify
Today anyone with a computer and access to the internet can build a website using tools. These GUI-based tools have extended far beyond static sites to fully functional applications. In less than an hour you can create -
templated user-interface and user experience functionality for common needs such as forms, workflows, and data display allowing creators to expedite parts of the app creation process.
(Put examples of popular platform)
Like how Google created Teachable Machine, a simple experiment that lets users teach a machine using your camera. Teach a model to classify images using files or your webcam, Teach a model to classify audio by recording short sound samples. etc
Agility - Faster to build apps using pre-built modules, Less time to build due to automated testing process . Create and deploy multi-platform apps in real-time.
Reduced Cost - No need to spend money on setting up infrastructure & skilled developers
Better productivity - The IT staff is not overloaded with requests from every other department.
Easy to make changes - With traditional hand coding, the problem is that you can’t really change a functionality or a feature at the drop of a hat. Especially when the coding language is foreign to you. A no-code development platform is an exact opposite. You can deliver a rich user experience with a robust feature set.
Offset Shadow IT - Companies are taking a long and hard look at no-code development as a means to offset shadow IT and ensure that their IT departments aren’t clogged with requests.
hard code the behavior of the program.
--Devops and software engineering - eliminated
Analyst and Data science - get more time to finetune
Prepare data
Implement the algorithm
Fine Tuning the model
Write prediction API
Deployment using DevOps
Evaluate model performance
hard code the behavior of the program.
--Devops and software engineering - eliminated
Analyst and Data science - get more time to finetune
Prepare data
Implement the algorithm
Fine Tuning the model
Write prediction API
Deployment using DevOps
Evaluate model performance
Not started yet, so no challenges
Data collection
Data Labeling
Data Bias
Large volumes of data
Identifying the right data set to train
Lack of knowledge of ML tools
Lack of end to end platform
Lack of expertise
Choosing the right algorithms
Monitoring the model performance
2 PErsona —— 2 use cases
Can you imagine a scenario wherein you were writing a code to classify all the attributes of a product?
It’s not just cat or dog but you have to input all species of dogs and cats else how would you tell the difference among different breeds
If you start writing code for it then it will become a complicated process and this is where machine learning comes into the picture
Persona driven data —— Define persona - use case (HR) - what problem are they trying to solve? --Computer vision & NLP problem
Upload prelabeled data - Train - predict demo (as a non tech user how you can deploy models)
2 PErsona —— 2 use cases
Can you imagine a scenario wherein you were writing a code to classify all the images of dogs and cats?
It’s not just cat or dog but you have to input all species of dogs and cats else how would you tell the difference among different breeds
If you start writing code for it then it will become a complicated process and this is where machine learning comes into the picture
Persona driven data —— Define persona - use case (HR) - what problem are they trying to solve? --Computer vision & NLP problem
Upload prelabeled data - Train - predict demo (as a non tech user how you can deploy models)
More tech centric benefits
Now, we
Thank you Shruti
So if you’re interested in incorporating powerful and easy-to-use machine learning solutions to your business, or just interested in learning more about machine learning in general, Skyl offers free trial for 15 days plus complimentary consultation, you can follow the link on the screen and register - it’ll only take a few minutes.
Thank you, Nisha and Shruti! We will go ahead and take some time for questions now. Just a reminder, please be sure to type your questions into the question box in your control panel.
---------------
We’ll wrap up today’s webinar with some questions from you guys - *read questions and pass over to Nisha or Shruti*
Sample questions:
How difficult is it for a non technical person to use the platform?
How do I build a labelled dataset through the platform?
How do I test the accuracy of the model and also in the case that it declines in fairness over time?
Ok so we’ll wrap up here, that’s all the time we have for the webinar today.
I’m sorry if your question wasn’t answered today, you can still contact Skyl through contact@skyl.ai and the Skyl team will get back to you within 24 hours - so feel free to send the team any questions you might have
about incorporating machine learning to your business or just to learn more about how Skyl handles the machine learning process. You can also contact Skyl via Linkedin as well if you’d like by just searching s k y l. As mentioned before, the recording of this webinar will be provided to you via email and also will be uploaded on Skyl.ai which is the url link you see on the screen below the email address
Confidently - to be charge of / control of your AI projects.Script: https://docs.google.com/document/d/1NWGBbMg1SpePzvaFiO0gy_vkgoyAGGcwe1D2_OUcQIE/edit#
---------------------
All right, so that’s it for today’s webinar on No Code AI - I hope you enjoyed it, we have a lot more webinars coming up on different machine learning topics and how they can be implemented in your businesses - the next webinar will be on “how to implement biomedical named entity recognition with machine learning” so don’t miss out and make sure you sign up for that one as well - thank you for joining and have a wonderful day