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
Today, During a Management Development Program at Radisson Hotel, Noida.
Participant from PSUs like NTPC, GAIL and HR Personnel from Corporate with more than 20 years of experience.
A grand Teaching Learning Experience
Is this what the future of high-volume recruitment will look like? We hope so!
Let's take a look at how AI can save high-volume recruitment.
AI for recruiting is the application of artificially intelligent abilities such as learning or problem-solving designed to automate some part of the recruiting workflow.
In 7 steps we take a look at the impact of AI technology on recruitment.
Step 1: Your job posting receives receives hundreds of resumes which get collected by your ATS. On average, 75% of the candidates are unqualified.
Step 2: AI recruitment in the form of automated resume screening technology instantly grades and shortlists the qualified 25% of candidates for you.
Step 3: With a click of a button, you can set up interviews with qualified candidates using an auto-dialer, auto-texter, or auto-emailer.
Step 4: AI recruitment in the form of a chatbot can help you engage with candidates by answering their questions about the job and providing them with feedback about their applications.
Step 5: AI recruitment in the form of video interview technology uses algorithms to analyze candidates’ emotions, word choices, and personality traits to help you assess whether they’d be a good fit for the job.
Step 6: You can interview candidates online in real time or watch pre-recorded interviews on your own time. With a click of a button, you can invite candidates to an in-person interview or hire them based on their video interview.
Step 7: By automating or streamlining parts of your recruiting workflow, AI recruitment allows you to spend more of your valuable time engaging with candidates and partnering with hiring managers to make better hires, faster.
HOW AI IS CHANGING THE WAY YOU RECRUIT AND HIRE TOP TALENTHuman Capital Media
The continuous evolution of technology is changing the way we conduct business. New skills and roles are being introduced into the workforce at a record pace. This means that recruiters are tasked with finding and screening candidates that fit both the current and future needs of the organization, while also considering organizational fit. So how can recruiters continue to thrive in an era of constant change?
This session will provide attendees:
An understanding of how technology is impacting candidates’ expectations of the hiring process
How organizations can identify top talent with advanced, predictive selection assessments
Will recruiters be replaced by AI? Will recruiters be eventually replaced by AI?
This presentation explores AI trends in recruitment and how
AI can be leveraged to support humans by automating;
- Sourcing
- Screening
- Matching
- and assessing candidates
Today, During a Management Development Program at Radisson Hotel, Noida.
Participant from PSUs like NTPC, GAIL and HR Personnel from Corporate with more than 20 years of experience.
A grand Teaching Learning Experience
Is this what the future of high-volume recruitment will look like? We hope so!
Let's take a look at how AI can save high-volume recruitment.
AI for recruiting is the application of artificially intelligent abilities such as learning or problem-solving designed to automate some part of the recruiting workflow.
In 7 steps we take a look at the impact of AI technology on recruitment.
Step 1: Your job posting receives receives hundreds of resumes which get collected by your ATS. On average, 75% of the candidates are unqualified.
Step 2: AI recruitment in the form of automated resume screening technology instantly grades and shortlists the qualified 25% of candidates for you.
Step 3: With a click of a button, you can set up interviews with qualified candidates using an auto-dialer, auto-texter, or auto-emailer.
Step 4: AI recruitment in the form of a chatbot can help you engage with candidates by answering their questions about the job and providing them with feedback about their applications.
Step 5: AI recruitment in the form of video interview technology uses algorithms to analyze candidates’ emotions, word choices, and personality traits to help you assess whether they’d be a good fit for the job.
Step 6: You can interview candidates online in real time or watch pre-recorded interviews on your own time. With a click of a button, you can invite candidates to an in-person interview or hire them based on their video interview.
Step 7: By automating or streamlining parts of your recruiting workflow, AI recruitment allows you to spend more of your valuable time engaging with candidates and partnering with hiring managers to make better hires, faster.
HOW AI IS CHANGING THE WAY YOU RECRUIT AND HIRE TOP TALENTHuman Capital Media
The continuous evolution of technology is changing the way we conduct business. New skills and roles are being introduced into the workforce at a record pace. This means that recruiters are tasked with finding and screening candidates that fit both the current and future needs of the organization, while also considering organizational fit. So how can recruiters continue to thrive in an era of constant change?
This session will provide attendees:
An understanding of how technology is impacting candidates’ expectations of the hiring process
How organizations can identify top talent with advanced, predictive selection assessments
Will recruiters be replaced by AI? Will recruiters be eventually replaced by AI?
This presentation explores AI trends in recruitment and how
AI can be leveraged to support humans by automating;
- Sourcing
- Screening
- Matching
- and assessing candidates
The HR Business Partner is the most critical role in the modern HR Model. The HRBP is the employee, who acts as the single point of the contact for internal clients. However, the HRPB is not a pure sales person. The HRBP influences the work of Human Resources, participates in setting HR Goals and Objectives, leads difficult projects and collaborates with HR Centers of Excellence.
The role is critical, but many companies fail in choosing right employees for the position. The HR Business Partner has to be highly skilled and has to understand to all HR processes to sell them the right way.
Artificial Intelligence: threat or opportunity for HR? Tom Haak
At HR Innovation Day 2017, in Leipzig, Tom Haak of the HR Trend Institute, gave a presentation on HR and Artificial Intelligence. These are the slides he used.
In 2019, Workology distributed an “HR Artificial Intelligence (AI) Readiness” survey to its global subscriber list of over 100,000 HR practitioners. This survey captured HR feedback to determine the implications and understanding of AI, how HR can leverage same and what implementation strategies HR professionals use to deploy AI. The results of the AI HR Readiness survey will be used to provide data points in this broader discussion of AI on 15 May 2019.
This presentation, which is accredited for both HRCI and SHRM CEUs, will:
Highlight the history of Technology in HR, showing software and tools to help HR move the needle from being tactical and administrative to more strategic partnering
summarize advances in technologies and related tools supporting AI for HR address macro economic changes in the workforce (demographics, remote workers, gig economy, low unemployment, etc.) that now provide HR an opportunity to use AI
summarize some use cases of AI in HR today with potential implications review steps to begin an AI strategy in your organization
My talk on AI for Human Resource Management at the Faculty Development Programme conducted by Department of Management Studies MVGR College of Engineering
HR Management PowerPoint Presentation Slides is a highly visual virtual tool specially designed to showcase HRM strategies and practices. Human Resource Management PPT theme encompasses all the seven primary functions that rest on the shoulders of the HR department. Our workforce management PowerPoint slideshow is furnished with striking data visualization tools to assist you in effortlessly showcasing sophisticated processes. Several KPI and dashboard diagrams of personnel management PPT presentation help you to consolidate huge amounts of information systematically. Use this employee management PowerPoint theme to demonstrate strategic human resource planning, including recruitment, selection, motivation, training, development, and evaluation. The comprehensive layout of our staff management PPT slideshow helps you address all the fundamentals of a sound HRM system. Present details like compensation types, types of appraisal methods, workplace safety, and health laws using the HR management PowerPoint template. So, download our human capital management PPT deck and illustrate all the HRM functions with a dash of visual brilliance. https://bit.ly/3jrgTCu
Now a days every organization has HR Software but some of those don't know how AI will help to Human resource tasks.
You are may be already aware about what is AI but here we have explained about how Artificial Intelligence help to HR (Human resource) to make simplify task.
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 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
The HR Business Partner is the most critical role in the modern HR Model. The HRBP is the employee, who acts as the single point of the contact for internal clients. However, the HRPB is not a pure sales person. The HRBP influences the work of Human Resources, participates in setting HR Goals and Objectives, leads difficult projects and collaborates with HR Centers of Excellence.
The role is critical, but many companies fail in choosing right employees for the position. The HR Business Partner has to be highly skilled and has to understand to all HR processes to sell them the right way.
Artificial Intelligence: threat or opportunity for HR? Tom Haak
At HR Innovation Day 2017, in Leipzig, Tom Haak of the HR Trend Institute, gave a presentation on HR and Artificial Intelligence. These are the slides he used.
In 2019, Workology distributed an “HR Artificial Intelligence (AI) Readiness” survey to its global subscriber list of over 100,000 HR practitioners. This survey captured HR feedback to determine the implications and understanding of AI, how HR can leverage same and what implementation strategies HR professionals use to deploy AI. The results of the AI HR Readiness survey will be used to provide data points in this broader discussion of AI on 15 May 2019.
This presentation, which is accredited for both HRCI and SHRM CEUs, will:
Highlight the history of Technology in HR, showing software and tools to help HR move the needle from being tactical and administrative to more strategic partnering
summarize advances in technologies and related tools supporting AI for HR address macro economic changes in the workforce (demographics, remote workers, gig economy, low unemployment, etc.) that now provide HR an opportunity to use AI
summarize some use cases of AI in HR today with potential implications review steps to begin an AI strategy in your organization
My talk on AI for Human Resource Management at the Faculty Development Programme conducted by Department of Management Studies MVGR College of Engineering
HR Management PowerPoint Presentation Slides is a highly visual virtual tool specially designed to showcase HRM strategies and practices. Human Resource Management PPT theme encompasses all the seven primary functions that rest on the shoulders of the HR department. Our workforce management PowerPoint slideshow is furnished with striking data visualization tools to assist you in effortlessly showcasing sophisticated processes. Several KPI and dashboard diagrams of personnel management PPT presentation help you to consolidate huge amounts of information systematically. Use this employee management PowerPoint theme to demonstrate strategic human resource planning, including recruitment, selection, motivation, training, development, and evaluation. The comprehensive layout of our staff management PPT slideshow helps you address all the fundamentals of a sound HRM system. Present details like compensation types, types of appraisal methods, workplace safety, and health laws using the HR management PowerPoint template. So, download our human capital management PPT deck and illustrate all the HRM functions with a dash of visual brilliance. https://bit.ly/3jrgTCu
Now a days every organization has HR Software but some of those don't know how AI will help to Human resource tasks.
You are may be already aware about what is AI but here we have explained about how Artificial Intelligence help to HR (Human resource) to make simplify task.
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 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
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
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
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.
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
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'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
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
Salesforce Architect Group, Frederick, United States July 2023 - Generative A...NadinaLisbon1
Joined our community-led event to dive into the world of Artificial Intelligence (AI)! Whether you were just starting your AI journey or already familiar with its concepts, one thing was certain: AI was reshaping the future of work. This enablement session was your chance to level up your skills and stay ahead in that rapidly evolving landscape.
As AI news continues to dominate headlines, it's natural to have questions and concerns about its impact on our lives. Will AI take over human jobs? Will it render us obsolete? Rest assured, the outlook is far brighter than you may think. Rather than replacing humans, AI is designed to enhance our capabilities and work alongside us. It won't be replacing marketers, service representatives, or salespeople—it will be empowering them to achieve even greater results. Companies across industries recognize this potential and are embracing AI to unlock new levels of performance.
During this enablement session, you'll have the opportunity to explore how AI advancements can positively influence your professional journey and daily life. We'll debunk common misconceptions, address fears, and showcase real-world examples of how successful AI implementation leads to workforce augmentation rather than replacement. Be prepared to gain valuable insights and practical knowledge that will help you navigate the AI landscape with confidence.
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
Thinking Outside the Bots: Recruiting Science - The Truth Behind Analytics an...Aggregage
We are consistently bombarded with whether great recruiting is an art or a science. The truth is: it is both. The human heart and mind will always be necessary parts of a successful recruitment process. But, those required parts can be augmented to include data like we've never seen before. And, we have the science to back up the data and decipher it. 'What does it all mean and how can we benefit?'
In this webinar, Data and Analytics Expert Andrew Gadomski will share the truth about Artificial Intelligence Today, where we can expect it to be tomorrow and and how it impacts talent attraction, recruiting, and employee retention. HR and Hiring Professionals will benefit from this insightful presentation based in known facts and currently used practices, as well as knowledge-based predictions about analyses-based recruitment to expedite and better the process.
Thinking Outside the Bots: Recruiting Science - The Truth Behind Analytics an...Naba Ahmed
We are consistently bombarded with whether great recruiting is an art or a science. The truth is: it is both. The human heart and mind will always be necessary parts of a successful recruitment process. But, those required parts can be augmented to include data like we've never seen before. And, we have the science to back up the data and decipher it. 'What does it all mean and how can we benefit?'
In this webinar, Data and Analytics Expert Andrew Gadomski will share the truth about Artificial Intelligence Today, where we can expect it to be tomorrow and and how it impacts talent attraction, recruiting, and employee retention. HR and Hiring Professionals will benefit from this insightful presentation based in known facts and currently used practices, as well as knowledge-based predictions about analyses-based recruitment to expedite and better the process.
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
Learnbay provides industry accredited data science courses in Bangalore. We understand the conjugation of technology in the field of Data science hence we offer significant courses like Machine learning, Tensor flow, IBM watson, Google Cloud platform, Tableau, Hadoop, time series, R and Python. With authentic real time industry projects. Students will be efficient by being certified by IBM. Around hundreds of students are placed in promising companies for data science role. Choosing Learnbay you will reach the most aspiring job of present and future.
Learnbay data science course covers Data Science with Python,Artificial Intelligence with Python, Deep Learning using Tensor-Flow. These topics are covered and co-developed with IBM.
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.
Similar to AI Recruitment - How Businesses Are Winning the Race for the Talent (20)
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
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
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
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
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
Remote sensing and monitoring are changing the mining industry for the better. These are providing innovative solutions to long-standing challenges. Those related to exploration, extraction, and overall environmental management by mining technology companies Odisha. These technologies make use of satellite imaging, aerial photography and sensors to collect data that might be inaccessible or from hazardous locations. With the use of this technology, mining operations are becoming increasingly efficient. Let us gain more insight into the key aspects associated with remote sensing and monitoring when it comes to mining.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
What are the main advantages of using HR recruiter services.pdfHumanResourceDimensi1
HR recruiter services offer top talents to companies according to their specific needs. They handle all recruitment tasks from job posting to onboarding and help companies concentrate on their business growth. With their expertise and years of experience, they streamline the hiring process and save time and resources for the company.
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Attending a job Interview for B1 and B2 Englsih learnersErika906060
It is a sample of an interview for a business english class for pre-intermediate and intermediate english students with emphasis on the speking ability.
India Orthopedic Devices Market: Unlocking Growth Secrets, Trends and Develop...Kumar Satyam
According to TechSci Research report, “India Orthopedic Devices Market -Industry Size, Share, Trends, Competition Forecast & Opportunities, 2030”, the India Orthopedic Devices Market stood at USD 1,280.54 Million in 2024 and is anticipated to grow with a CAGR of 7.84% in the forecast period, 2026-2030F. The India Orthopedic Devices Market is being driven by several factors. The most prominent ones include an increase in the elderly population, who are more prone to orthopedic conditions such as osteoporosis and arthritis. Moreover, the rise in sports injuries and road accidents are also contributing to the demand for orthopedic devices. Advances in technology and the introduction of innovative implants and prosthetics have further propelled the market growth. Additionally, government initiatives aimed at improving healthcare infrastructure and the increasing prevalence of lifestyle diseases have led to an upward trend in orthopedic surgeries, thereby fueling the market demand for these devices.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
Accpac to QuickBooks Conversion Navigating the Transition with Online Account...PaulBryant58
This article provides a comprehensive guide on how to
effectively manage the convert Accpac to QuickBooks , with a particular focus on utilizing online accounting services to streamline the process.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
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, Manufacturing, Human
Resources, 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
Finally, please familiarize yourself with the Zoom ‘Control Panel’ on your screen
6. Live Demo of smart
resume search using
Natural language
processing
...In the next 45
minutes
How organizations are
leveraging AI to
accelerate the search
for top talent
Best practice to
automate machine
learning models in hours
not months
1 2 3
7. A quick intro about Skyl.ai
Machine Learning automation platform for unstructured data
Build & deploy ML models faster on unstructured data
Guided machine learning workflow
Collaborative Data Collection and Labelling
Easy-to-use & scalable AI SaaS platform.
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. Artificial intelligence (AI)
is the ability of a
computer to think
and learn like a human
Understanding the fundamentals
Select best resumes
through automatic
keyword match
Apply the most suitable
algorithms that are trained
to process the resumes
Machine learning (ML)
is an application of AI
with algorithms that provide
systems the ability to
automatically learn and improve
from data without being
explicitly programmed.
Natural Language
Processing (NLP) is the
branch of machine
learning that helps
computers understand,
interpret and manipulate
human language.
Keyword extraction from
resume with NLP
11. Hence, Medical imaging is treated as Computer Vision
problems in the AI world
AI is here to enhance our decision making, improve
efficiency and simplify jobs.
How can it help you in Recruitment?
⊚
⊚
⊚
Analyze large number of resumes in less time
Provide intelligent recommendations to match relevant job profiles & candidates
Channelize efforts to build stellar hiring experience instead of focusing on paperwork
It will help recruitment in following:
13. Resume Screening
Shortlist resumes by matching and ranking based on
relevancy
Matching and categorizing job profile phrases
with resume content to shortlist candidates
Autofill information like skills, experience,
candidate details by parsing resume
Resume ranking based on relevancy of skill set
and job profile
Automatic generation of profile summary based
on candidate’s resume
Source: Naukri Resume Quality score too, Linkedin profile summary
14. Intelligent Recommendations
For candidates: Identifying the most relevant jobs
where they are top applicants
Source: Linkedin feature
For recruiters: Identifying the most relevant
resumes from applicant tracking system
15. Job Discovery
Suggesting jobs based on the profile and
skill set of the candidate
Recommend job postings based on the profile
Source: Linkedin & Naukri job recommendation feature
16. Interview Assessment
Creating QnA from a given set of resumes
to help interviewers with relevant
questions and suggestions
Helping recruiters assess candidates based
on facial expression, body language and
communication during video interview
Help interviewers with contextual data
17. Diversity Hiring
Writing inclusive job adverts without any
human preferences or bias
AI can help eliminate bias which can be a
result of human preference & assumptions
Find and attract new hires of all sexes, ages, and
ethnicities
18. POLL #2
State your role in the AI initiatives/ projects in
your organization
⊚ We don’t have any AI projects yet
⊚ Practitioner - Data Science/ Engineering background
⊚ Sponsor / Executive
⊚ Product Manager
⊚ Project Manager
⊚ Student
⊚ Others
19. Live Demo of smart resume search
using Natural language processing0
2
21. Live Demo on how to extract keywords to shortlist
resume using Natural language processing
22. Advantages of a unified platform
Speed, Visibility, Quality, Collaboration,
Flexibility
03
23. POLL #3
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
24. Data Collection - Flexible options
(CSV bulk upload, APIs, Mobile capture, Form based…)
25. Data Labeling - Simple 4 steps process
(collaboration jobs, guided workflow…)
26. Data Labeling - Real-time early visibility
(class balance, missing data…)
27. Data Labeling - Early Visibility
(data frequency, data intuition, outliers, trends, labeling accuracy…)
28. Data Labeling with Effective Collaboration
(Job allocation, trend, statistics, interactive messaging…)
Manage collaborator
progress, activity,
interactive messaging
Analyse trends and progress
of your data labeling job in real
time with statistics and
interactive visualizations
29. Data Visualization in building strong data intuition
( visuals for data composition, data adequacy)
30. Machine Learning - One click training at scale
(Easy feature sets, out of the box algorithms, API integration, hyper
parameter tuning, auto scaling…)
● Train, Deploy and Version your
models by creating feature-sets
in no time with our easy feature
selection provision.
● Choose from state-of-art neural
network algorithms, tune
hyperparameters and see logs for
your training in real time.
● Integrate our powerful inference
API with your application for AI-
driven actionable intelligence.
● Auto scaling of model training
based on data and
hyperparameters
31. Model Monitoring of metrics in real-time
(inference count, execution time, accuracy…)
● Monitor your deployed
models and analyse
inference count, accuracy
and execution time.
● See how your models are
performing in real-time.
No black boxes here.
32. Model Evaluation - Release Confidently
(Accuracy, Precision, Recall, F1 Score)
● Monitor your deployed
models and analyse
inference count, accuracy
and execution time.
● See how your models are
performing in real-time. No
black boxes here.
33. No upfront cost in Infrastructure set up
(no DevOps needed, auto-deploy, SaaS & On-prem models…)
No DevOps required - Incorporates
automatic deployment and dockerization
Scalable tech with latest stack
Domain agnostic build by data type
Scalable on demand
On premise and saas models
37. 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
She is a technology leader who wears multiple hats. From defining product strategy , developing product , accelerating AI adoption to scaling businesses, she knows it all. She is based in New york
She is a versatile person who builds scalable , high-performance solutions and shares expertise through blogs and is currently building future tech products using ML and AI
Innovator, problem solver and creator
Change Medical imaging image - different types of scans /CTs
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
Speed up the recruitment process by automating
time-consuming & repetitive tasks
automatically opens the resumes and parses the content. If this were to be done manually it would take a lot of time.
Automating the detection of abnormalities in commonly-ordered imaging tests, such as chest x-rays, could lead to quicker decision-making and fewer diagnostic errors.
For example, when a patient enters the emergency department with a complaint such as shortness of breath, “the chest radiograph is often the first imaging study that is available,” ACR DSI says.
“It can be used as a quick initial screening tool for cardiomegaly, which in and of itself can be used as a marker for heart disease. A quick visual assessment by a radiologist is sometimes inaccurate.”
3. Pneumonia and pneumothorax are two conditions that require quick reactions from providers. Both may also be prime targets for artificial intelligence algorithms.
Pneumonia, either acquired in the community or after a medical procedure, can be life threatening if left untreated. Radiology images are often used to diagnose pneumonia and distinguish the condition from other lung conditions, such as bronchitis.
Yet radiologists may not always be available to read images – and even if radiologists are present, they may have difficulty identifying pneumonia if the patient has pre-existing lung conditions, such as malignancies or cystic fibrosis.
In addition, “subtle pneumonias, such as those projecting below the dome of the diaphragms on front chest radiographs, can easily be overlooked and lead to unnecessary CT scans, which AI could help reduce,” ACR DSI says.
An AI algorithm could assess x-rays and other images for evidence of opacities that indicate pneumonia, then alert providers to the potential diagnoses to allow for speedier treatment.
4. Fractures and musculoskeletal injuries can contribute to long-term, chronic pain if not treated quickly and correctly.
Injuries such as hip fractures in elderly patients are also tied to poor overall outcomes due to reductions in mobility and associated hospitalizations.
Using artificial intelligence to identify hard-to-see fractures, dislocations, or soft tissue injuries could allow surgeons and specialists to be more confident in their treatment choices.
Images obtained by MRI machines, CT scanners, and x-rays, as well as biopsy samples, allow clinicians to see the inner workings of the human body. However, these images often contain large amounts of complex data that can be difficult and time consuming for human providers to evaluate.
AI tools can augment the workflow of radiologists and pathologists, acting as clinical decision support and enhancing care delivery.
Use images and expand the points
Automating the detection of abnormalities in commonly-ordered imaging tests, such as chest x-rays, could lead to quicker decision-making and fewer diagnostic errors.
For example, when a patient enters the emergency department with a complaint such as shortness of breath, “the chest radiograph is often the first imaging study that is available,” ACR DSI says.
“It can be used as a quick initial screening tool for cardiomegaly, which in and of itself can be used as a marker for heart disease. A quick visual assessment by a radiologist is sometimes inaccurate.”
3. Pneumonia and pneumothorax are two conditions that require quick reactions from providers. Both may also be prime targets for artificial intelligence algorithms.
Pneumonia, either acquired in the community or after a medical procedure, can be life threatening if left untreated. Radiology images are often used to diagnose pneumonia and distinguish the condition from other lung conditions, such as bronchitis.
Yet radiologists may not always be available to read images – and even if radiologists are present, they may have difficulty identifying pneumonia if the patient has pre-existing lung conditions, such as malignancies or cystic fibrosis.
In addition, “subtle pneumonias, such as those projecting below the dome of the diaphragms on front chest radiographs, can easily be overlooked and lead to unnecessary CT scans, which AI could help reduce,” ACR DSI says.
An AI algorithm could assess x-rays and other images for evidence of opacities that indicate pneumonia, then alert providers to the potential diagnoses to allow for speedier treatment.
4. Fractures and musculoskeletal injuries can contribute to long-term, chronic pain if not treated quickly and correctly.
Injuries such as hip fractures in elderly patients are also tied to poor overall outcomes due to reductions in mobility and associated hospitalizations.
Using artificial intelligence to identify hard-to-see fractures, dislocations, or soft tissue injuries could allow surgeons and specialists to be more confident in their treatment choices.
Images obtained by MRI machines, CT scanners, and x-rays, as well as biopsy samples, allow clinicians to see the inner workings of the human body. However, these images often contain large amounts of complex data that can be difficult and time consuming for human providers to evaluate.
AI tools can augment the workflow of radiologists and pathologists, acting as clinical decision support and enhancing care delivery.
Examples of traits —— (write an example - what you are training the machine on - and output)
In the future, assessments themselves will evolve. For example, today’s ability tests typically include yes/no or true/false statements, which are easily analysed. Future AI-powered ability tests could include open-ended questions, such as ‘Tell me what you see when you look at this graphic’.
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Practitioner - Data Science/ Engineering background
Sponsor
Product Manager
Project Manager
Student
Others
How
5 minutes intro - 10 industry awareness - 15 min demo - 20 minutes QnA
Define problem - Features model - How this model is built using skyl.ai
Add slide of Pneumonia detection
Benefit
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
Now, we
Confidently - to be charge of / control of your AI projects.Script: https://docs.google.com/document/d/1NWGBbMg1SpePzvaFiO0gy_vkgoyAGGcwe1D2_OUcQIE/edit#