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.
Speaker: Venkatesh Umaashankar
LinkedIn: https://www.linkedin.com/in/venkateshumaashankar/
What will be discussed?
What is Data Science?
Types of data scientists
What makes a Data Science Team? Who are its members?
Why does a DS team need Full Stack Developer?
Who should lead the DS Team
Building a Data Science team in a Startup Vs Enterprise
Case studies on:
Evolution Of Airbnb’s DS Team
How Facebook on-boards DS team and trains them
Apple’s Acqui-hiring Strategy to build DS team
Spotify -‘Center of Excellence’ Model
Who should attend?
Managers
Technical Leaders who want to get started with Data Science
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
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
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
The 3 Key Barriers Keeping Companies from Deploying Data Products Dataiku
Getting from raw data to deploying data-driven solutions requires technology, data, and people. All of which exist. So why aren’t we seeing more truly data-driven companies: what's missing and why? During Strata Hadoop World Singapore 2015, Pauline Brown, Director of Marketing at Dataiku, explains how lack of collaboration is what is keeping companies from building and deploying data products effectively. Learn more about Dataiku and Data Science Studio: www.dataiku.com
Webinar: AI as a Shared Service by Salesforce Senior Director of ProductProduct School
Main Takeaways:
-AI is just a mean to an end, the end goal need to be extremely clear
-Prioritize project where you know you have the data - data access can be the most challenging piece of an AI project
-Build your solution for a use case but find ways to make it a shared service
Speaker: Venkatesh Umaashankar
LinkedIn: https://www.linkedin.com/in/venkateshumaashankar/
What will be discussed?
What is Data Science?
Types of data scientists
What makes a Data Science Team? Who are its members?
Why does a DS team need Full Stack Developer?
Who should lead the DS Team
Building a Data Science team in a Startup Vs Enterprise
Case studies on:
Evolution Of Airbnb’s DS Team
How Facebook on-boards DS team and trains them
Apple’s Acqui-hiring Strategy to build DS team
Spotify -‘Center of Excellence’ Model
Who should attend?
Managers
Technical Leaders who want to get started with Data Science
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
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
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
The 3 Key Barriers Keeping Companies from Deploying Data Products Dataiku
Getting from raw data to deploying data-driven solutions requires technology, data, and people. All of which exist. So why aren’t we seeing more truly data-driven companies: what's missing and why? During Strata Hadoop World Singapore 2015, Pauline Brown, Director of Marketing at Dataiku, explains how lack of collaboration is what is keeping companies from building and deploying data products effectively. Learn more about Dataiku and Data Science Studio: www.dataiku.com
Webinar: AI as a Shared Service by Salesforce Senior Director of ProductProduct School
Main Takeaways:
-AI is just a mean to an end, the end goal need to be extremely clear
-Prioritize project where you know you have the data - data access can be the most challenging piece of an AI project
-Build your solution for a use case but find ways to make it a shared service
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
Chasing Innovation: Exploring the Thrilling World of Prompt Engineering JobsFredReynolds2
Innovation has emerged as the driving force behind technological achievements and societal growth. Prompt engineering jobs, which their dynamic and advanced characteristics can identify, lead the way in this wave of innovation. Prompt engineering has become an important subject supporting productivity, efficiency, and problem-solving across various sectors in the quickly changing world of technology and innovation.
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 as a Shared Service by Salesforce Senior Director of ProductProduct School
Main Takeaways:
-AI is just a mean to an end, the end goal need to be extremely clear
-Prioritize project where you know you have the data - data access can be the most challenging piece of an AI project
-Build your solution for a use case but find ways to make it a shared service
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
What is Salesforce? Where can I learn it? What is a Standalone Lightning app? These are the key questions this brief introduction to the world's #1 CRM platform might respond.
Trascrizione in italiano:
https://datasciencesnaps.wordpress.com/2019/06/29/cose-salesforce/
Entering the Conversational Era with Chatbots for the EnterpriseAleisha McKeeby
Free on-demand webinar recording: https://kore.com/entering-conversational-era-webinar/
Turning hype into action for emerging technologies like conversational AI, chatbots, machine learning, and natural language can be confusing and intimidating, but it doesn’t have to be. We will tell you what other vendors won’t to help you break through the noise and get you on your way to successfully leading your company into the conversational era.
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
Tech Jobs That Don’t Require Coding .pptxcalltutors
There are a lot of tech jobs that don't require coding languages such as data analyst, product manager, scrum master, IT Business analyst, and so on.
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
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
Platform approach to scaling machine learning across the enterpriseOlalekan Fuad Elesin
We will walk through how we are scaling and democratizing the development of intelligent products based on AI with a platform approach. From the culture needed to shape this mindset, to execution which resulted into reducing the time it takes to productionize machine learning by 50%. We will discuss how we leveraged product mindset, coupled with data, to enable data scientists to be 50% more productive, while scaling the knowledge across our internal builder community.
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
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
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
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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
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Innovation has emerged as the driving force behind technological achievements and societal growth. Prompt engineering jobs, which their dynamic and advanced characteristics can identify, lead the way in this wave of innovation. Prompt engineering has become an important subject supporting productivity, efficiency, and problem-solving across various sectors in the quickly changing world of technology and innovation.
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 as a Shared Service by Salesforce Senior Director of ProductProduct School
Main Takeaways:
-AI is just a mean to an end, the end goal need to be extremely clear
-Prioritize project where you know you have the data - data access can be the most challenging piece of an AI project
-Build your solution for a use case but find ways to make it a shared service
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
What is Salesforce? Where can I learn it? What is a Standalone Lightning app? These are the key questions this brief introduction to the world's #1 CRM platform might respond.
Trascrizione in italiano:
https://datasciencesnaps.wordpress.com/2019/06/29/cose-salesforce/
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Free on-demand webinar recording: https://kore.com/entering-conversational-era-webinar/
Turning hype into action for emerging technologies like conversational AI, chatbots, machine learning, and natural language can be confusing and intimidating, but it doesn’t have to be. We will tell you what other vendors won’t to help you break through the noise and get you on your way to successfully leading your company into the conversational era.
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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.
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- Best practices to automate AI/ML models
- Demo: How to route customer queries to the right department or professional
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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
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
Platform approach to scaling machine learning across the enterpriseOlalekan Fuad Elesin
We will walk through how we are scaling and democratizing the development of intelligent products based on AI with a platform approach. From the culture needed to shape this mindset, to execution which resulted into reducing the time it takes to productionize machine learning by 50%. We will discuss how we leveraged product mindset, coupled with data, to enable data scientists to be 50% more productive, while scaling the knowledge across our internal builder community.
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.
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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.
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Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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.
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
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Salesforce Architect Group, Frederick, United States July 2023 - Generative AI for Trailblazers_ Unlock the Future of AI + Special Guest Topic.pdf
1. Generative AI for Trailblazers:
Unlock the Future of AI
+ Special Guest Topic
2. Nadina D. Lisbon
CRM Enterprise Architect at NetApp
Justin W. Lisbon
Salesforce Technical Architect at Vacasa
https://www.linkedin.com/in/jwlisbon
Group Leaders
Frederick MD Architect
https://www.linkedin.com/in/nadinalisbon
6. Group and Local Community Announcements
Group Announcements
★ Call for Speakers!
○ https://forms.gle/Kbfjf7yEu8s2eqA86
Local Community Announcements
★ Salesforce Admin Group, Washington, D.C., United States &
Salesforce Nonprofit User Group, Washington, D.C., United States
○ Topic : EinsteinGPT and the Latest Innovations from Salesforce with Charlie Isaacs
○ Date : Wed, Jul 26, 6:00 PM (EDT)
○ Location: In Person
10. Salesforce Einstein Pioneered AI for CRM
First AI for CRM
Everyone’s data
scientist
Low code
Every Cloud
1 Trillion
predictions a week
+
11. Messages
Landing Pages
Slack Workflows
MuleSo Integrations
Tableau Data Stories
Apex Code
Flows
@Einstein
create
leads
Say to
Einstein GPT
The world’s
most trusted
generative AI
for enterprise
12. What is generative AI?
Why is it important?
Unlock the Future of AI
Generative AI Fundamentals
13. What is Generative AI?
Generative AI
a family of deep learning
algorithms that can automatically
create new content such as text,
imagery, code, voice, and even
video.
14. What is Generative AI?
Generative AI
Deep
Learning
Machine
Learning
AI
Uses complex
algorithms (also
known as neural
networks) to learn
and perform tasks
without explicitly
programmed
step-by-step
instructions.
A family of deep
learning
algorithms that
can automatically
create new
content such as
text, imagery,
code, voice, and
even video.
Leverages data to
generate
predictions. The
more data we feed
into a machine
learning system,
the better it can
predict.
The concept of having
machines “think like
humans” — in other
words, perform tasks
like reasoning,
planning, learning, and
decision-making.
15. LLMs or Foundational Models
What is Generative AI?
Traditional Deep
Learning Methods
Millions of parameters
Large Language
Models
Billions of parameters
vs
16. The Rise of Generative AI
Three key contributing factors
More Data
Availability or large
amounts of data
Better Algorithms
Better algorithms that
are able to
exploit/discover patterns
in these large amounts
of data
Compute Power
Large amounts of
available compute
power
+ +
17. What is generative AI?
Why is it important?
Unlock the future of AI
Agenda
18. Generative AI Is Creating Opportunities
Generative AI in IT Survey
67%
of IT leaders are
prioritizing generative
AI in the next six
months
19. 4 Principles to Use Generative AI Responsibly
Trust
Make it clear when
content is
AI-generated. Follow
company guidelines
around usage.
Security
Protect personally
identifying
information and
proprietary company
information.
Accuracy
Review and revise
generated content to
ensure accuracy.
Empowerment
Use AI as an assistant
to supercharge your
capabilities.
20. Common Concerns About Generative AI
Hallucinations Data Security Plagiarism User Spoofing Sustainability
Learn more on Trailhead: sforce.co/AISkillsQuest
21. What is generative AI?
Why is it important?
Unlock the future of AI
Agenda
22. 3 Steps to Unlock the Future of AI
Step 1
Stay up-to-date on
Salesforce AI news
and announcements
Step 2
Learn generative AI
fundamentals
Step 3
Get ready to unlock
the future of AI
23. Understand Prompt Engineering
Sample prompts:
● Write a friendly email text when a contact gets
converted to an opportunity.
● Write a SOQL statement that shows me users
with API access.
● Give me five slogans for an onboarding campaign
for new Salesforce users with my financial
company.
● Write a poem about how Friday is the best day of
the week.
Always follow your company security policies when using generative AI tools.
What are prompts?
Prompts are how you
interact with generative
AI. Natural language
prompts are the input
used to “prompt” the
generated response.
24. Three Tips for Expert Prompt Engineering
Discover how generative AI can assist you with your daily work
1. Provide Context 2. Be Security-Minded 3. Review and Revise
Always ground prompts in
your own knowledge to
provide important context.
Do not put any confidential
company information or
data into public generative
AI tools.
Review and revise outputs
to ensure accuracy. Do not
deploy solutions directly
into production without
testing.
Write an email.
vs.
Write an onboarding email
for a new Salesforce user
in a financial services
company.
Confidential information
can include: source code,
deal information,
customer information.
Always follow company
security policies.
Avoid copyright issues.
Ensure content is relevant
and up-to-date.
25. Complete the trailmix to learn the
basics of artificial intelligence and
unlock the future of AI.
Complete the Trailmix
to Learn More
sforce.co/GenAITrailblazers
28. AI - The Great Accelerator
What we want is a machine that can learn from experience. – Alan Turing
Any sufficiently advanced technology is indistinguishable from magic. – Arthur C. Clarke
It is science fiction until it is science fact – Mo Gawdat
AI Seems Scary
29. AI may not replace
you, but the person
using AI will
30. Salesforce Admins solve
business problems by
configuring the Salesforce
Platform
Admin
● Formulas & Validation Rules
● Language Translations
● Release Notes
● Demystifying complex
terms/ideas
Business Analysts/Product
Owners are responsible for
maximizing the business
value being delivered
BA/PO
● Business Requirements
● Generating User Stories & Test
Plans
● Business Use Cases
● Language Translations
Sales includes multiple
roles, including pre-sales,
sales representative &
operations
Sales
● Sales Messaging/Emails
● Generating Sales Enablement
● Industry Trends, Metrics &
Solutions
● Summarizing 10-K/10-Q
Documents
Using their expertise,
problem-solving ability,
and best practices
knowledge, the
consultant will design,
build, deliver, and
maintain Salesforce
tools.
Consultant
● Industry & Vertical Best Practices
● Platform Best Practices
● Process & Integration Mapping
● Documentation & Training
They are responsible for
overseeing projects from
start to finish, with the
primary objective of
ensuring the project’s
success by delivering it
on time and within
budget.
Project
Manager
● Project Methodologies/Milestones
● Create Implementation Plans
● Phases of a Salesforce Project
● Stakeholder Communication &
Reporting
How AI Supercharges Salesforce Roles
There are many AI tools but these use cases are focused on ChatGPT & OpenAI Playground
31. Perfect Prompt Template
Prompt Recipe (Structure)
● Context
● Specific Goal
● Specific Format
● Breaking Down Tasks
● Providing Examples
Prompt Seasoning (Bonus Tips)
● Role Prompting - Act as a Persona
● Shot Prompting - 0, 1, Few
● Priming
● Chain of Thought Prompting
● In & Out Prompting - Accuracy = In, Bias = Out
Prompt Garnish (Advanced Parameters)
● Model Version
● Temperature
● Stop Sequences
● Top P
● Frequency & Presence Penalty
● Philosophy, Storytelling, Creativity
32. Prompt Sample Recipes
Marketing
Discuss the elements of a successful
marketing campaign, considering
Aristotle's concepts of Ethos, Pathos,
and Logos.
Imagine you're a marketing executive
at a startup launching a new fitness
app that uses AI to create
personalized workout plans. Write a
blog post introducing Sarah, a busy
working mom struggling to find time to
exercise, and show how our app can
help her overcome her challenge and
achieve her fitness goals.
Career
I want you to act as an interviewer. I
will be the candidate and you will ask
me the interview questions for the
position position. I want you to only
reply as the interviewer. Do not write
all the conversation at once. I want you
to only do the interview with me. Ask
me the questions and wait for my
answers. Do not write explanations.
Ask me the questions one by one as
an interviewer does and wait for my
answers. My first sentence is “Hi”
Provide me a roadmap for learning and
become a Salesforce Architect in the
Salesforce ecosystem
Technical Solutions
I want you to act as a Salesforce
Architect. I will provide some details
about the functionality of an application
or other digital product, and it will be
your job to come up with ways to
integrate it into the Salesforce
landscape. This could involve analyzing
business requirements, performing a
gap analysis and mapping the
functionality of the new system to the
existing IT landscape. Next steps are to
create a solution design, an ERD,
definition of interfaces for system
integration, and a blueprint for the
deployment environment. My first
request is "I need to integrate an ERP
system."
33. AI, Jobs, and You
Skills
● Prompt Engineering/Prompt Templates
● ChatGPT and other AI Tools
● AI Automation & Language Model Training
● Systems & Creative Thinking
● Outcome Based Problem Solving
Roles
● GPT Specialist
● AI and Machine Learning Engineers
● Large Language Model Engineers
● AI Ops - IT Ops for Machine Learning/AI
● ML Ops - DevOps for Machine Learning
http://bit.ly/AIResources2023
Emerging Roles/Skills
● AI UX
● AI Devtools
● AI Infrastructure
● AI Agents
● LLM Ops - MLOps for Operationalizing LLMs
● LLM Tools, including Langchain, and more
● Open Source Models (training, finetuning,
inferencing, evaling)