The document provides information on iRONYUN's video analytics and AI solutions, including their City Eyes Video Surveillance Appliance and Artificial Intelligence Video Search Appliance. It summarizes key features such as managing over 50,000 cameras, built-in video analytic capabilities, facial recognition, and artificial intelligence video search using natural language. The solutions can integrate with existing infrastructure and provide unlimited scalability through a cloud platform. Case studies show successful large-scale deployments with public safety organizations.
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. “The pace of progress in artificial general intelligence is incredible fast” (Elon Musk – CEO Tesla & SpaceX) leading to an AI that “would be either the best or the worst thing ever to happen to humanity” (Stephen Hawking – Physicist).
What sparked this new hype? How is Deep Learning different from previous approaches? Let’s look behind the curtain and unravel the reality. This talk will introduce the core concept of deep learning, explore why Sundar Pichai (CEO Google) recently announced that “machine learning is a core transformative way by which Google is rethinking everything they are doing” and explain why “deep learning is probably one of the most exciting things that is happening in the computer industry“ (Jen-Hsun Huang – CEO NVIDIA).
AI Basic, AI vs Machine Learning vs Deep Learning, AI Applications, Top 50 AI Game Changer Solutions, Advanced Analytics, Conversational Bots, Financial Services, Healthcare, Insurance, Manufacturing, Quality & Security, Retail, Social Impact, and Transportation & Logistics
Artificial Intelligence (A.I) and Its Application -SeminarBIJAY NAYAK
this presentation includes the the Basics of Artificial Intelligence and its applications in various Field. feel free to ask anything. Editors are always welcome.
The Future of AI is Generative not Discriminative 5/26/2021Steve Omohundro
The deep learning AI revolution has been sweeping the world for a decade now. Deep neural nets are routinely used for tasks like translation, fraud detection, and image classification. PwC estimates that they will create $15.7 trillion/year of value by 2030. But most current networks are "discriminative" in that they directly map inputs to predictions. This type of model requires lots of training examples, doesn't generalize well outside of its training set, creates inscrutable representations, is subject to adversarial examples, and makes knowledge transfer difficult. People, in contrast, can learn from just a few examples, generalize far beyond their experience, and can easily transfer and reuse knowledge. In recent years, new kinds of "generative" AI models have begun to exhibit these desirable human characteristics. They represent the causal generative processes by which the data is created and can be compositional, compact, and directly interpretable. Generative AI systems that assist people can model their needs and desires and interact with empathy. Their adaptability to changing circumstances will likely be required by rapidly changing AI-driven business and social systems. Generative AI will be the engine of future AI innovation.
In this new Accenture Finance & Risk presentation we explore machine learning as a solution to some of the most important challenges faced by the banking sector today. To learn more, read our blog on Machine Learning in Banking: https://accntu.re/2oTVJiX
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. “The pace of progress in artificial general intelligence is incredible fast” (Elon Musk – CEO Tesla & SpaceX) leading to an AI that “would be either the best or the worst thing ever to happen to humanity” (Stephen Hawking – Physicist).
What sparked this new hype? How is Deep Learning different from previous approaches? Let’s look behind the curtain and unravel the reality. This talk will introduce the core concept of deep learning, explore why Sundar Pichai (CEO Google) recently announced that “machine learning is a core transformative way by which Google is rethinking everything they are doing” and explain why “deep learning is probably one of the most exciting things that is happening in the computer industry“ (Jen-Hsun Huang – CEO NVIDIA).
AI Basic, AI vs Machine Learning vs Deep Learning, AI Applications, Top 50 AI Game Changer Solutions, Advanced Analytics, Conversational Bots, Financial Services, Healthcare, Insurance, Manufacturing, Quality & Security, Retail, Social Impact, and Transportation & Logistics
Artificial Intelligence (A.I) and Its Application -SeminarBIJAY NAYAK
this presentation includes the the Basics of Artificial Intelligence and its applications in various Field. feel free to ask anything. Editors are always welcome.
The Future of AI is Generative not Discriminative 5/26/2021Steve Omohundro
The deep learning AI revolution has been sweeping the world for a decade now. Deep neural nets are routinely used for tasks like translation, fraud detection, and image classification. PwC estimates that they will create $15.7 trillion/year of value by 2030. But most current networks are "discriminative" in that they directly map inputs to predictions. This type of model requires lots of training examples, doesn't generalize well outside of its training set, creates inscrutable representations, is subject to adversarial examples, and makes knowledge transfer difficult. People, in contrast, can learn from just a few examples, generalize far beyond their experience, and can easily transfer and reuse knowledge. In recent years, new kinds of "generative" AI models have begun to exhibit these desirable human characteristics. They represent the causal generative processes by which the data is created and can be compositional, compact, and directly interpretable. Generative AI systems that assist people can model their needs and desires and interact with empathy. Their adaptability to changing circumstances will likely be required by rapidly changing AI-driven business and social systems. Generative AI will be the engine of future AI innovation.
In this new Accenture Finance & Risk presentation we explore machine learning as a solution to some of the most important challenges faced by the banking sector today. To learn more, read our blog on Machine Learning in Banking: https://accntu.re/2oTVJiX
I delivered a talk on application of Artificial Intelligence in Fintech to the visiting students of University of Applied Sciences, Wurzburg-Schweinfurt, Germany at Christ University
🔹How will AI-based content-generating tools change your mission and products?
🔹This complimentary webinar [ON-DEMAND] explores multiple use cases that drive adoption in their early adopter customer base to provide product leaders with insights into the future of generative AI-powered businesses, and the potential generative AI holds for driving innovation and improving business processes.
[DSC DACH 23] ChatGPT and Beyond: How generative AI is Changing the way peopl...DataScienceConferenc1
In recent years, generative AI has made significant advancements in language understanding and generation, leading to the development of chatbots like ChatGPT. These models have the potential to change the way people interact with technology. In this session, we will explore the advancements in generative AI. I will show how these models have evolved, their strengths and limitations, and their potential for improving various applications. Additionally, I will show some of the ethical considerations that arise from the use of these models and their impact on society.
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
Presenting the landscape of AI/ML in 2023 by introducing a quick summary of the last 10 years of its progress, current situation, and looking at things happening behind the scene.
The talk will have 3 parts. The overview of the practical applications of the AI and ML in the FinTech industry with a short explanation of the PSD2 directive and the disruption is caused. Application of the AI/ML from the perspective of the end-user, personal financial health, financial coach, etc. The overview of the architecture, technologies, and frameworks used with practical examples from the Zuper company.
In this piece, we explore how AI has the potential to deliver the active management that will be required for the grid of the future. Powerful intelligence will be able to balance grids, manage demand, negotiate actions, enable self-healing and facilitate a host of new products and services.
Branch of computer science that develops machines and software with human-like intelligence
top 5 artificial intelligence stocks
artificial intelligence technology
artificial intelligence articles
artificial intelligence companies
artificial intelligence stocks to buy
artificial intelligence robots
artificial intelligence in medicine
artificial intelligence wikipedia
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckSlideTeam
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck is loaded with easy-to-follow content, and intuitive design. Introduce the types and levels of artificial intelligence using the highly-effective visuals featured in this PPT slide deck. Showcase the AI-subfield of machine learning, as well as deep learning through our comprehensive PowerPoint theme. Represent the differences, and interrelationship between AI, ML, and DL. Elaborate on the scope and use case of machine intelligence in healthcare, HR, banking, supply chain, or any other industry. Take advantage of the infographic-style layout to describe why AI is flourishing in today’s day and age. Elucidate AI trends such as robotic process automation, advanced cybersecurity, AI-powered chatbots, and more. Cover all the essentials of machine learning and deep learning with the help of this PPT slideshow. Outline the application, algorithms, use cases, significance, and selection criteria for machine learning. Highlight the deep learning process, types, limitations, and significance. Describe reinforcement training, neural network classifications, and a lot more. Hit download and begin personalization. Our AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3ngJCKf
Principles of Artificial Intelligence & Machine LearningJerry Lu
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as “deep learning” and “cognitive computing”
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!
Revolutionizing your Business with AI (AUC VLabs).pdfOmar Maher
"Revolutionizing your Business with AI" is a comprehensive yet digestible overview of Artificial Intelligence and Machine Learning. This presentation elucidates their fundamental concepts, showcases real-world applications, and equips attendees with strategic tools like the AI Idea Canvas and Evaluation Template. Whether you're a business leader or an intrigued learner, this presentation simplifies AI, aiding you in confidently navigating its transformative landscape.
Artificial Intelligence Machine Learning Deep Learning Ppt Powerpoint Present...SlideTeam
Choose our Artificial Intelligence Machine Learning Deep Learning PPT PowerPoint Presentation Slide Templates to understand this popular branch of computer science. Acquaint your audience with the process of building smart, capable machines that can perform intelligent tasks with the help of this neural network PPT presentation. Exhibit the difference between AI, machine learning, and deep learning through this informative robotics PPT design. Elaborate on the wide range of areas that can benefit from artificial intelligence like supply chain, customer experience, human resources, fraud detection, research, and development by taking the aid of this computer science PPT slideshow. Highlight the booming rate of AI business and its future revenue forecast by downloading this thought-provoking and indulging information technology PowerPoint graphics. Save your time and efforts with these pre-ready and professionally crafted content-specific slides. It will educate your audience about this complex process in an easy yet efficient way. Download this AI functioning PowerPoint deck to create a roadmap for the growth and expansion of your business. https://bit.ly/3x135nD
Franck Cohen, chief commercial officer at SAP, discusses the impact of artificial intelligence (AI) on e-commerce. From in-store analytics to digital assistants, AI is transforming e-commerce. Since 2012, AI commerce companies have raised US$990 million across 201 deals in the United States and Canada, as well as India, France, the United Kingdom, Singapore, Israel, and others. Join us for a discussion on how retail giants and start-ups alike can benefit from using this new technology today. Learn more: https://www.hybris.com/commerce
How Machine Learning & AI Will Improve Cyber SecurityDevOps.com
Machine Learning (ML) and Artificial Intelligence (AI) have been proclaimed as perhaps the next great leap in human quality of life, as well as a potential reason for our extinction. Somewhere in between lies how ML & AI can potentially improve our Cyber Security efforts. But are ML & AI a true panacea or merely the next shiny trinket for the cyber industry to fixate on? In this webinar we will explore:
How ML & AI are currently being utilized in cyber security efforts.
What is working and what has not worked
What is on the both the short term and near-term horizon for ML &AI
Practical steps you can take now to begin leveraging these technologies to tangibly improve your cyber security posture
Join our panel of industry experts as we explore this brave new frontier in cyber security with a candid look cutting through the hype.
I delivered a talk on application of Artificial Intelligence in Fintech to the visiting students of University of Applied Sciences, Wurzburg-Schweinfurt, Germany at Christ University
🔹How will AI-based content-generating tools change your mission and products?
🔹This complimentary webinar [ON-DEMAND] explores multiple use cases that drive adoption in their early adopter customer base to provide product leaders with insights into the future of generative AI-powered businesses, and the potential generative AI holds for driving innovation and improving business processes.
[DSC DACH 23] ChatGPT and Beyond: How generative AI is Changing the way peopl...DataScienceConferenc1
In recent years, generative AI has made significant advancements in language understanding and generation, leading to the development of chatbots like ChatGPT. These models have the potential to change the way people interact with technology. In this session, we will explore the advancements in generative AI. I will show how these models have evolved, their strengths and limitations, and their potential for improving various applications. Additionally, I will show some of the ethical considerations that arise from the use of these models and their impact on society.
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
Presenting the landscape of AI/ML in 2023 by introducing a quick summary of the last 10 years of its progress, current situation, and looking at things happening behind the scene.
The talk will have 3 parts. The overview of the practical applications of the AI and ML in the FinTech industry with a short explanation of the PSD2 directive and the disruption is caused. Application of the AI/ML from the perspective of the end-user, personal financial health, financial coach, etc. The overview of the architecture, technologies, and frameworks used with practical examples from the Zuper company.
In this piece, we explore how AI has the potential to deliver the active management that will be required for the grid of the future. Powerful intelligence will be able to balance grids, manage demand, negotiate actions, enable self-healing and facilitate a host of new products and services.
Branch of computer science that develops machines and software with human-like intelligence
top 5 artificial intelligence stocks
artificial intelligence technology
artificial intelligence articles
artificial intelligence companies
artificial intelligence stocks to buy
artificial intelligence robots
artificial intelligence in medicine
artificial intelligence wikipedia
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckSlideTeam
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck is loaded with easy-to-follow content, and intuitive design. Introduce the types and levels of artificial intelligence using the highly-effective visuals featured in this PPT slide deck. Showcase the AI-subfield of machine learning, as well as deep learning through our comprehensive PowerPoint theme. Represent the differences, and interrelationship between AI, ML, and DL. Elaborate on the scope and use case of machine intelligence in healthcare, HR, banking, supply chain, or any other industry. Take advantage of the infographic-style layout to describe why AI is flourishing in today’s day and age. Elucidate AI trends such as robotic process automation, advanced cybersecurity, AI-powered chatbots, and more. Cover all the essentials of machine learning and deep learning with the help of this PPT slideshow. Outline the application, algorithms, use cases, significance, and selection criteria for machine learning. Highlight the deep learning process, types, limitations, and significance. Describe reinforcement training, neural network classifications, and a lot more. Hit download and begin personalization. Our AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3ngJCKf
Principles of Artificial Intelligence & Machine LearningJerry Lu
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as “deep learning” and “cognitive computing”
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!
Revolutionizing your Business with AI (AUC VLabs).pdfOmar Maher
"Revolutionizing your Business with AI" is a comprehensive yet digestible overview of Artificial Intelligence and Machine Learning. This presentation elucidates their fundamental concepts, showcases real-world applications, and equips attendees with strategic tools like the AI Idea Canvas and Evaluation Template. Whether you're a business leader or an intrigued learner, this presentation simplifies AI, aiding you in confidently navigating its transformative landscape.
Artificial Intelligence Machine Learning Deep Learning Ppt Powerpoint Present...SlideTeam
Choose our Artificial Intelligence Machine Learning Deep Learning PPT PowerPoint Presentation Slide Templates to understand this popular branch of computer science. Acquaint your audience with the process of building smart, capable machines that can perform intelligent tasks with the help of this neural network PPT presentation. Exhibit the difference between AI, machine learning, and deep learning through this informative robotics PPT design. Elaborate on the wide range of areas that can benefit from artificial intelligence like supply chain, customer experience, human resources, fraud detection, research, and development by taking the aid of this computer science PPT slideshow. Highlight the booming rate of AI business and its future revenue forecast by downloading this thought-provoking and indulging information technology PowerPoint graphics. Save your time and efforts with these pre-ready and professionally crafted content-specific slides. It will educate your audience about this complex process in an easy yet efficient way. Download this AI functioning PowerPoint deck to create a roadmap for the growth and expansion of your business. https://bit.ly/3x135nD
Franck Cohen, chief commercial officer at SAP, discusses the impact of artificial intelligence (AI) on e-commerce. From in-store analytics to digital assistants, AI is transforming e-commerce. Since 2012, AI commerce companies have raised US$990 million across 201 deals in the United States and Canada, as well as India, France, the United Kingdom, Singapore, Israel, and others. Join us for a discussion on how retail giants and start-ups alike can benefit from using this new technology today. Learn more: https://www.hybris.com/commerce
How Machine Learning & AI Will Improve Cyber SecurityDevOps.com
Machine Learning (ML) and Artificial Intelligence (AI) have been proclaimed as perhaps the next great leap in human quality of life, as well as a potential reason for our extinction. Somewhere in between lies how ML & AI can potentially improve our Cyber Security efforts. But are ML & AI a true panacea or merely the next shiny trinket for the cyber industry to fixate on? In this webinar we will explore:
How ML & AI are currently being utilized in cyber security efforts.
What is working and what has not worked
What is on the both the short term and near-term horizon for ML &AI
Practical steps you can take now to begin leveraging these technologies to tangibly improve your cyber security posture
Join our panel of industry experts as we explore this brave new frontier in cyber security with a candid look cutting through the hype.
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Video surveillance is an important part of any organization's security strategy. Security and safety of human resources, physical and intellectual assets are of utmost importance.
In addition, productivity and discipline aspects are also linked with video surveillance. However, the video surveillance solutions available in the market today offer reactive security.
This slide describes that what domains CyberLab covers and what standards & technologies it is using under it's Security Division.
For More Details Visit:
www.CyberLabZone.com
Video surveillance is a booming business, and installations become larger and larger. At the same time,
several studies have highlighted the hit and miss nature of human intervention to spot change in a surrounding
environment. And the challenge becomes larger as systems expand. In addition, a massive
amount of video is being recorded, but never watched or reviewed, due to lack of time.
As a result, events and activities are missed, and suspicious behavior is not noticed in time to prevent
incidents. This has led to the development of intelligent video (IV).
We are the first Indian technology driven and innovative comapny in this domain. We design and produce solutions in the field of Network Surveillance and Security.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
2. CONFIDENTIAL
Program Requirements and Agenda
Proposed
Solution
iRONYUN Cloud
Analytics and AI Solutions
• iRONYUN
• Products
City Eyes Video Surveillance Appliance
Artificial Intelligence (AI) Video Search Appliance
• Summary
• Next Steps
3. CONFIDENTIAL
iRONYUN the Leader in AI and Big Data Video Analytics
• iRONYUN cloud computing business unit founded in 2009
• Performs contract R&D and consulting for Taiwan government, Asian and
International
• Expansion and established in the United States 2015
• End-to-end SaaS, PaaS and IaaS products in web hosting, video surveillance,
computing and cloud storage
• Investment to-date over - $30mm USD
• World wide office support
4. CONFIDENTIAL
City Eyes Video Surveillance Appliance
The iRONYUN City Eyes private cloud video surveillance appliance (CEA) is an “all-in-one” which consolidates all the hardware
and software components that are needed to build a private cloud, big data enterprise hosted video surveillance infrastructure.
• Cloud surveillance solution
• Manage 50,000+ video cameras
• Support all kinds of cameras, NVR, DVR
• Cloud video analytic solution
• Built-in PaaS framework designed for video analytic – do video analytic in cloud
computing way
• Full stack cloud computing platform – IaaS, PaaS, SaaS
• Highly scalable and stackable
• Cloud big data solution
• Ability to scale to petabyte (PB) – record your video camera for years
• Store your video in a cost efficient way – Multi-tier storage (performance-tier,
expansion-tier, archive-tier)
CityEyes Cloud Analytics
Solutions
5. CONFIDENTIAL
Artificial Intelligence (AI) Video Search Appliance
The iRONYUN AI NVR Enterprise Video Mining and Video Search Solution
“Deep learning is a game changer for the video surveillance industry. Neural network based deep learning technology
dramatically increases the adaptability of video analytics
• Industry's First Artificial Intelligence Solution with a Simple and Easy User
Interface
• Built-in artificial intelligence software and hardware video search capability for
fast, efficient search of video objects stored in NVR or DVR storage devices.
• Eliminates the need to manually inspect hours of video for objects or persons
of interest. Allowing the user to Locate the needle in the haystack of terabytes
of video data.
• Search engine keywords include
– Many types of vehicles (car, bus, motorbike, bicycle)
– People, face, color, animals (dog, cat, etc.)
– Objects (e.g. video scenes with four cars)
AI NVR Solution
6. CONFIDENTIAL
Artificial Intelligence Technology for Video
Surveillance
Trained, Not Programmed
– AI NVR deep learning video analytics is not based on computer programming.
– Instead, it is trained based on Artificial Intelligence neural networks, reducing significant time and cost.
Significantly increase productivity and time savings compared to use of manual inspection and visual identification
The AI object detection engine is based on natural language input
– people, faces, cars, buses, motorbike, colors, time
Easy to use, Google like search interface and intuitive results display.
Exploitation of High Performance GPU (Graphics Processor Unit).
Utilizes existing NVR/VMS
Support existing cameras
Leverages CityEyes Cloud VOS
Benefits of AI for Surveillance to the End User
7. CONFIDENTIAL
CityEyes Integrated Analytics
Turn This “Mess” to ”Look what's happening Here”
Automation, Detection and Human Behavior
Any camera (IP, analog, HD, non-HD) information can be processed by IronYun Deep Analytics Engine and deliver state of the
art analytics with advanced applications that empower situational awareness, incident response effectiveness and proactive
security at a fraction of legacy solutions costs
Works with your existing cameras and NVR– no
need for forklift upgrades
Easy to deploy – fast return on investment
Advanced capabilities:
• License Plate Recognition (LPNR)
• Facial Recognition
• Fight/crowds Detection
• People Counting
• Virtual Fences
• Abandoned/Missing Object Detection
• Parking Management
• Camera Health Monitoring
• Object/Person Tracking
• Demographics Analysis
• Dwell Time & Loitering
• Suspect Search
• Movement Detection.... +!!
8. CONFIDENTIAL
CityEyes an All-In-One Solution
CityEyes can integrate with your existing Video Surveillance infrastructure (cameras, DVR, NVR, VMS) enhancing you current
system capabilities with deep Analytics capabilities. CityEyes can also replace your existing DVR, NVR and VMS since it
integrates all of these functions in a single appliance for thousands of cameras
CityEyes CEA Appliance
VMS & CMS Software
Analog & IP Cameras
Private Cloud Virtualization Software
DVR & NVR
Multi-tier HDD & Tape
system
Intelligent Video Analytics
Simple, Easy-to-Deploy and Manage
All-in-one, Hyper-Convergence Architecture
9. CONFIDENTIAL
CityEyes the 1st Hyper-Convergence Video
Analytics Solution in the Market
CityEyes takes full advantage of the Virtualization and Hyper-Convergence technologies by deploying a cluster of Video
Analytics nodes orchestrated by IronYun´s Video Analytics Operating Systems (VOS). VOS manages the optimal distribution of
Video tasks so that maximum efficiency and capabilities are 100% guaranteed.
The world without PaaS The world with PaaS
Certain type of analytic job can only be handled
by certain server
The computing power of analytic servers is fully
utilized.
• Unlimited scalability
• Flexible growth
• Optimal use of resources
• Simplified administration
• Lower TCO
• Easy deployment of new
Video Analytics services
• Unlimited number of cameras
and video streams
• Modular growth – more
controlled CAPEX
• On-Premises or Cloud
deployments
10. CONFIDENTIAL
CityEyes Simplifies Security Management
With a simple and intuitive user interface that facilitates regular tasks and at the same time provides the capabilities to do deep
analysis of live/recorded events by applying any of the advanced analytics functionalities. The analytics engine can run on the
customer premises or on IronYun Cloud for maximum scalability.
All Rights Reserved 2016
IRONYUN
Find your camera on the map and
click to see the video
View live stream from multiple
cameras for surveillance
Get a health report of your
cameras regularly
Download critical video file and do analytic to
find useful event information
11. CONFIDENTIAL
Unlimited Video Management
Video Wall
Allows Users to Monitor all Videos
seamlessly and quickly
– Easily Manageable
– Customized Layout
– Show Instant alert Notification
– Interactive video, zoom and snapshot
12. CONFIDENTIAL
CityEyes FR – Facial Recognition
The CityEyes facial recognition module uses Deep Learning algorithms for real-time video analysis (or recorded video) from
cameras of any type and resolution. The system operates with a blacklist of known images and searches with high levels of
accuracy even in poor quality videos.
Blacklist SuspectsReal-Time Match & Image
13. CONFIDENTIAL
Artificial Intelligence NVR & Search Analytic
Artificial Intelligence (AI) Deep Learning Technology
Utilizes Natural Language Interface
Exploits the Nvidia High Performance GPU
Immediate Searchable Meta Data Storage
Different Types and Combinations of Object Search
• Car, Bus, Motorbike, Bicycle, Airplane
• Person, Face
• Color – Blue, Red, Yellow, White, Black, etc.
• Dog, Cat, Bird
• Object counting; (e.g. car=4, person=3)
Trainable to Recognize New Objects
Now offered as a Standalone AI NVR or as a Integrated Analytic within CityEyes (Q4)
16. CONFIDENTIAL
The CityEyes Appliance (CEA) Models
A CityEyes solution is built by stacking one or more CityEyes Appliances (CEA).
There are two modes of CEA: The Cloud Analytic Center (CAC) and the Cloud Video Recorder (CVR)
–Cloud Analytic Center (CAC)
•Virtualization environment
•PaaS Framework
•Hosting of video analytic engines
–Camera health monitoring
–Video summarization
–Vehicle route tracking
–Face recognition
–More…
–Cloud Video Recorder (CVR)
•Video recording
•Support multi-tier storage
CAC CVR
*CEA-100 is an entry-level product designed for smb/training/demo/poc, which doesn’t require high computing power for video analytic.
• Can be purchased without a CVR
and connect to existing NRV system
• Can provide analytics capabilities
for thousands or cameras
• As number of cameras grow or
additional Analytics functionalities
are deployed new CAC nodes can
be added to the CityEyes Cluster to
scale capacity and performance
• Customers needing to replace
current NVR can deploy the CVR
appliance
• Multiple models available to meet
any recording & storage demands
scaling to Petabytes
• Enhanced video streaming
• Optimized for high performance
video storage & retrieval
17. CONFIDENTIAL
Artificial Intelligence (AI) Appliance Solution
DVR/NVR + iRONYUN CAC-AI for easy plug-and-play deployment
AI NVR as an add-on product to YOUR existing product line and customers
• AI NVR (CAC-AI) Appliance Solution
– Built-in artificial intelligence software and hardware
video search capability
– Stand-alone System
• OEM Opportunities/Program
OEM Opportunities/Program
• Embed the iRONYUN AI Solution
• Resell as your solution
Video Streaming
Meta Data
1Gbps LAN Ethernet
Standard DVR/NVR
IronYun CAC-AI
Artificial Intelligence DVR/NVR Architecture
18. CONFIDENTIAL
IronYun Success Stories
CityEyes has been adopted in many production sites including New Taipei City Police Department, Taiwan and Hsinchu City
Police Department, Taiwan to manage 25,000+ cameras and do video analysis including LPR/ANPR, vehicle route tracking
and video summarization.
IronYun’s prowess in VMS is best illustrated at the New Taipei City police department
based in Taiwan. The police department in New Taipei City managed 25,000+ video
surveillance cameras with a legacy system that was difficult to maintain and scale.
The CityEyes solution helped automate most of the hardware camera maintenance with
the private cloud solution. Now, the city can scale up the number of cameras and
storage devices in a single, seamless architecture. This has resulted in a saving of about
40 percent of the total cost of ownership in its first year of implementation itself.
IronYun Customers Industry
Sectors
• Hotels Group
• Manufacturers
• Retail/Shopping Malls
• University / School
• Banking
• Government
• Railway
• Airport
Customer Locations
• U.S./Canada
• Korea/Japan
• Taiwan/China
• Singapore
• Thailand
• Philippines
• Vietnam
• South America
19. CONFIDENTIAL
Sample CityEyes FR Deployment
The Facial Recognition solution can be deployed in two modes: Real Time and Forensic. In the Real Time option, the system
architecture allows you to analyze live video from the cameras deployed on the network through CityEyes EDGE, which
performs pre-processing of the video and extracts faces from the video streams.
IPCAM
Faces detected
(4 ~ 5KB per image)
Existing
Cameras
CityEyes
EDGE
IPCAM
CAC Server
The video from the cameras
is sent to the existing system
and the CityEyes EDGE
VMS/DVR/NVR
Existing
The CityEyes EDGE preprocesses
the video, extracts the faces and
sends these and the metadata
to CAC
CAC processes faces and
compares against Blacklist and
generates alerts
Low bandwidth
consumption
Private
Network
20. CONFIDENTIAL
Key Takeaways
• iRONYUN has the most advanced Analytics and AI platforms in the market
• Integrates with all existing cameras (IP, analog, HD & non-HD)
• Integrates with Video Surveillance infrastructure NO replacement needed
• Easy to deploy
• Unlimited scalability – Cloud and Hyper-convergence ready
• Large scale success cases in Public Safety around the world
21. We (Chakra Cloud Security Solutions PVT LTD) are
authorized resellers in India region. For more details
visit:
chakrasecure.com
Niranjan Gadag
Mobile: +91-8296494863
Email: ngadag@chakrasecure.com
