The PPT contains the following content:
1. What is Google Cloud Study Jam
2. What is Cloud Computing
3. Fundamentals of cloud computing
4. what is Generative AI
5. Fundamentals of Generative AI
6. Breif overview on Google Cloud Study Jam.
7. Networking Session.
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
* "Responsible AI Leadership: A Global Summit on Generative AI"
*April 2023 guide for experts and policymakers
* Developing and governing generative AI systems
* + 100 thought leaders and practitioners participated
* Recommendations for responsible development, open innovation & social progress
* 30 action-oriented recommendations aim
* Navigate AI complexities
A Framework for Navigating Generative Artificial Intelligence for EnterpriseRocketSource
Generative AI has dominated the headlines recently, which has caused many enterprises to put a full stop to implementing this technology until they can understand what’s behind the glitz and glamour. What if we shifted the conversation? What if the focus became a fresh, incremental approach to embracing the opportunities with generative artificial intelligence to keep organizations moving upward on the S Curve of Growth?
Brands stay relevant and solve complex problems by testing the barometer for one thing — will a new strategy, tool, or piece of technology improve humanity?
Human connections are more vital than using shiny new tools or technology. As your teams work to steer clear of the temptation to do what everyone else is doing in uniform, this post will highlight how to stand out, compete, and do so with less risk in today’s world of generative AI overload.
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.
This session was presented at the AWS Community Day in Munich (September 2023). It's for builders that heard the buzz about Generative AI but can’t quite grok it yet. Useful if you are eager to connect the dots on the Generative AI terminology and get a fast start for you to explore further and navigate the space. This session is largely product agnostic and meant to give you the fundamentals to get started.
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
* "Responsible AI Leadership: A Global Summit on Generative AI"
*April 2023 guide for experts and policymakers
* Developing and governing generative AI systems
* + 100 thought leaders and practitioners participated
* Recommendations for responsible development, open innovation & social progress
* 30 action-oriented recommendations aim
* Navigate AI complexities
A Framework for Navigating Generative Artificial Intelligence for EnterpriseRocketSource
Generative AI has dominated the headlines recently, which has caused many enterprises to put a full stop to implementing this technology until they can understand what’s behind the glitz and glamour. What if we shifted the conversation? What if the focus became a fresh, incremental approach to embracing the opportunities with generative artificial intelligence to keep organizations moving upward on the S Curve of Growth?
Brands stay relevant and solve complex problems by testing the barometer for one thing — will a new strategy, tool, or piece of technology improve humanity?
Human connections are more vital than using shiny new tools or technology. As your teams work to steer clear of the temptation to do what everyone else is doing in uniform, this post will highlight how to stand out, compete, and do so with less risk in today’s world of generative AI overload.
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.
This session was presented at the AWS Community Day in Munich (September 2023). It's for builders that heard the buzz about Generative AI but can’t quite grok it yet. Useful if you are eager to connect the dots on the Generative AI terminology and get a fast start for you to explore further and navigate the space. This session is largely product agnostic and meant to give you the fundamentals to get started.
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.
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
Through a comprehensive exploration, this talk would intend to uncover the inner workings of GANs and demystify their training process. This talk shall help you gain insights into the different types of GANs, such as conditional GANs and style-based GANs, and how they contribute to the advancement of generative AI. To truly appreciate the significance of GANs, this talk will also discuss their wide-ranging industrial applications, spanning image synthesis, video generation, data augmentation, and virtual reality.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
Edge AI Smart Manufacturing - Defect Detection and Beyond (GTC 2019)Wei-Chao Chen
These are the slides about a talk I gave at NVIDIA's GTC 2019 (GPU Technology Conference) at San Jose, CA.
====
https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=263092
We'll discuss our experiences working with first-tier electronics manufacturing facilities to apply machine learning techniques to their product design processes and production pipelines. We'll provide details about several applications in the domains of circuit defect and product appearance inspections, quality control, and the associated edge AI algorithms, and explain the machinery we created to solve these problems. When applying AI to smart manufacturing, the first problems that come to mind are usually automatic product inspection, but in reality we often need to carefully redefine the problems to yield a satisfactory solution and return on investment.
How can we use generative AI in learning products? A rapid introduction to generative AI. Presented at ED Games Expo 2023 at the U.S. Department of Education, September 22, 2023.
Artificial intelligence (AI) and machine learning (ML) are undergoing revolutionary changes that will affect wide swaths of our society. And the applications of this technology are increasingly diverse. Join us as we narrow in on how researchers in AL and ML are using AWS to identify and prevent financial market manipulation in a high-volume, high-velocity stock market. We also explore how to use natural language processing to aid emergency response organizations in real time during deadly disasters, such as during hurricanes and catastrophic wildfires.
Build an LLM-powered application using LangChain.pdfAnastasiaSteele10
LangChain is an advanced framework that allows developers to create language model-powered applications. It provides a set of tools, components, and interfaces that make building LLM-based applications easier. With LangChain, managing interactions with language models, chaining together various components, and integrating resources like APIs and databases is a breeze. The platform includes a set of APIs that can be integrated into applications, allowing developers to add language processing capabilities without having to start from scratch.
In this ChatGPT in Cybersecurity video, we delve into the role of ChatGPT in the realm of cybersecurity. Discover how this powerful language model assists in threat detection, vulnerability assessment, and incident response. Gain insights into the innovative ways ChatGPT is shaping the future of cybersecurity. Join us to explore the fascinating intersection of AI and cybersecurity.
Artificial Intelligence in Project Management by Dr. Khaled A. HamdyAgile ME
Video recording of the Dr. Khaled's session can be found at https://youtu.be/TFNhvAXNU5E.
The presentation explores how Artificial Intelligence (AI) can be used in the Project Management field. The origins and history of AI are discussed followed by a brief simplified explanation of the theories behind its application. The actual utilization of AI tools in the Project Management domain is discussed covering diverse areas such as Engineering Design, Cost Estimating and Bidding, Planning and Scheduling, Risk Management, Performance Prediction as well as Project Monitoring and Control. The presentation concludes by a brief discussion about Data Management and Knowledge Engineering and how they are used today to simplify (or complicate) our lives.
Prompt engineering is the practice of designing and refining specific text prompts to guide transformer-based language models, such as Large Language Models (LLMs), in generating desired outputs. It involves crafting clear and specific instructions and allowing the model sufficient time to process information. By carefully engineering prompts, practitioners can harness the capabilities of LLMs to achieve different goals.
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.
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
Through a comprehensive exploration, this talk would intend to uncover the inner workings of GANs and demystify their training process. This talk shall help you gain insights into the different types of GANs, such as conditional GANs and style-based GANs, and how they contribute to the advancement of generative AI. To truly appreciate the significance of GANs, this talk will also discuss their wide-ranging industrial applications, spanning image synthesis, video generation, data augmentation, and virtual reality.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
Edge AI Smart Manufacturing - Defect Detection and Beyond (GTC 2019)Wei-Chao Chen
These are the slides about a talk I gave at NVIDIA's GTC 2019 (GPU Technology Conference) at San Jose, CA.
====
https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=263092
We'll discuss our experiences working with first-tier electronics manufacturing facilities to apply machine learning techniques to their product design processes and production pipelines. We'll provide details about several applications in the domains of circuit defect and product appearance inspections, quality control, and the associated edge AI algorithms, and explain the machinery we created to solve these problems. When applying AI to smart manufacturing, the first problems that come to mind are usually automatic product inspection, but in reality we often need to carefully redefine the problems to yield a satisfactory solution and return on investment.
How can we use generative AI in learning products? A rapid introduction to generative AI. Presented at ED Games Expo 2023 at the U.S. Department of Education, September 22, 2023.
Artificial intelligence (AI) and machine learning (ML) are undergoing revolutionary changes that will affect wide swaths of our society. And the applications of this technology are increasingly diverse. Join us as we narrow in on how researchers in AL and ML are using AWS to identify and prevent financial market manipulation in a high-volume, high-velocity stock market. We also explore how to use natural language processing to aid emergency response organizations in real time during deadly disasters, such as during hurricanes and catastrophic wildfires.
Build an LLM-powered application using LangChain.pdfAnastasiaSteele10
LangChain is an advanced framework that allows developers to create language model-powered applications. It provides a set of tools, components, and interfaces that make building LLM-based applications easier. With LangChain, managing interactions with language models, chaining together various components, and integrating resources like APIs and databases is a breeze. The platform includes a set of APIs that can be integrated into applications, allowing developers to add language processing capabilities without having to start from scratch.
In this ChatGPT in Cybersecurity video, we delve into the role of ChatGPT in the realm of cybersecurity. Discover how this powerful language model assists in threat detection, vulnerability assessment, and incident response. Gain insights into the innovative ways ChatGPT is shaping the future of cybersecurity. Join us to explore the fascinating intersection of AI and cybersecurity.
Artificial Intelligence in Project Management by Dr. Khaled A. HamdyAgile ME
Video recording of the Dr. Khaled's session can be found at https://youtu.be/TFNhvAXNU5E.
The presentation explores how Artificial Intelligence (AI) can be used in the Project Management field. The origins and history of AI are discussed followed by a brief simplified explanation of the theories behind its application. The actual utilization of AI tools in the Project Management domain is discussed covering diverse areas such as Engineering Design, Cost Estimating and Bidding, Planning and Scheduling, Risk Management, Performance Prediction as well as Project Monitoring and Control. The presentation concludes by a brief discussion about Data Management and Knowledge Engineering and how they are used today to simplify (or complicate) our lives.
Prompt engineering is the practice of designing and refining specific text prompts to guide transformer-based language models, such as Large Language Models (LLMs), in generating desired outputs. It involves crafting clear and specific instructions and allowing the model sufficient time to process information. By carefully engineering prompts, practitioners can harness the capabilities of LLMs to achieve different goals.
Building what's next with google cloud's powerful infrastructureMediaAgility
Building What's Next with Google Cloud's Powerful Infrastructure. Companies are facing increasing challenges
Be more data driven, but on-prem data is hard to access, analyze, and use
Have to focus to stay ahead of competition, can’t afford wasted efforts
Attract and retain customers and employees with great experiences
Security threats keep growing
Be more agile - turn IT into competitive advantage
Google is focused on helping companies meet those challenges. To know more feel free to explore these slides and write back to us.
Lock in your calendars for October because GDSC GTBIT is about to drop the Google Cloud Jams bomb, and guess what? You're on the VIP list! 🌟🥳 Join us for an electrifying session hosted by tech virtuoso Mukal himself And upskill your learning journey using the Google Skill Boost Portal and conquer those certifications !
This presentation covers the Orientation Cermony ppt of Google Developer Student Clubs that is organised in an Online mode, by the students of Noida Institute of Engineering and Technology.
201705 neoteric software development introMatt Kurleto
Introduction to software development services provided by Neoteric. Java, JavaScript, AngularJS, JointJS, NodeJS, MongoDB, Neo4j developers. Get a quote for free.
[Srijan Wednesday Webinars] How to Build a Cloud Native Platform for Enterpri...Srijan Technologies
Drupal has been a consistent leader in the Gartner Magic Quadrant for Web Content Management. However, enterprises leveraging Drupal have traditionally relied on PaaS providers for their hosting, scaling and lifecycle management. And that usually leads to enterprise applications being locked-in with a particular cloud or vendor.
As container and container orchestration technologies disrupt the cloud and platform landscape, there’s a clear way to avoid this state of affairs. In this webinar, we discuss why it's important to build a cloud-native Drupal platform, and exactly how to do that.
Join the webinar to understand how you can avoid vendor lock-in, and create a secure platform to manage, operate and scale your Drupal applications in a multi-cloud portable manner.
Key Takeaways:
- Why you need a cloud-native Drupal platform and how to build one
- How to craft an idiomatic development workflow
- Understanding infrastructure and cloud engineering - under the hood
- Demystifying the art and science of Docker and Kubernetes: deep dive into scaling the LAMP stack
- Exploring cost optimization and cloud governance
- Understand portability of applications
- A hands-on demo of how the platform works
How google cloud platform can benefit devops?VishnuAnji
The VisualPath Best Google Cloud Platform Training In Hyderabad is designed to enhance your skills. We have experienced trainers. Get Real-time exposure to technology. If you want to become an expert in GCP then Register Now@9989971070.
Machine Learning and Data Science are the hot technologies everyone is chasing this year, but sharing Machine Learning solutions is more complicated than simple source control. How do you share the process that allowed you to arrive at your solution? How do you effectively communicate between Data Scientists and Developers? How do I make it pretty so that I can present the work to non-technical stakeholders?
This talk answers these questions using Azure Notebooks. We will walk through a real example of a Jupyter Notebook, its features and I how I created it. The topics covered include:
• What are Azure Notebooks? How do they fit into the Azure Ecosystem?
• What is Jupyter? What are it's strengths and weaknesses?
• Mixing code snippets and execution results
• Data Visualization for presentation and analysis
• Markdown for exposition and formatting
• Sharing and Source Control
You'll leave with an understanding of Jupyter and Azure Notebooks and understand how to apply Azure Notebooks to real-world problems.
TARGET AUDIENCE: Developers, Architects, Business Analysts, Data Scientists, Data Developers
Machine Learning in the Cloud has influences operations company-wide. Learn from Data Scientist, Ahmed Sherif, how to leverage Cloud offerings including AWS, IBM Cloud, and Microsoft Azure.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
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.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
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.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
3. Strap in, folks, and get ready to
buckle up because your host for
today is here to take you to the
world of the cloud. 🌥️🚀🌌
Narula Institute of technology
RAJ SAHA
Google DSC’23 Lead
6. "Cloud computing: Where
the future takes shape
one virtual byte at a
time." ☁️💻
Narula Institute of Technology
Rajdip Bhattacharya
Google DSC’23 Cloud & DevOps Lead
7. And why do we need to host it?
“A computer program or device that provides a service to another
computer program and its user, also known as the client”
We host servers to make them publicly/privately available to other
servers/users. There are three ways of hosting servers-
● On premise
● Cloud
● Hybrid
So what is a server, after all?
8. Pros of on-premise
● Control over server hardware
● Security of data
● Low latency
9. But there are cons as well
● Capital expenditure: Companies need to make a capital investment
to set up the server beforehand.
● Estimation problems: There can be overestimation/underestimation
in hardware choice, thereby leading to cost issues.
● Scalability: You can not just add another server or remove servers as
you want to.
● Increased management cost: Professional IT people are required to
maintain and monitor the servers all the time. If any component needs
replacement, the company has to bear the cost.
● Risk of data loss: In case a server holding business data crashes,
entire data would be lost.
11. Cloud computing is the on-demand
delivery of IT resources over the
Internet with pay-as-you-go pricing.
Instead of buying, owning, and
maintaining physical data centres and
servers, you can access technology
services, such as computing power,
storage, and databases, on an as-needed
basis from a cloud provider.
—Amazon Web Services (AWS)
12. ● Cost savings: Cloud uses the pay-as-you-go model, which means, we pay for only
what we use. This shifts us from capital expenditure (CapEx) to operational
expenditure (OpEx)
● No maintenance cost: The cloud providers are responsible for maintaining the
servers. Hence, we do not pay for it.
● Scalability and flexibility: We can provision more cloud resources or remove
them as and when needed.
● Data loss prevention: Cloud providers provides us with data backup and
recovery options so that we never lose our data.
Pros of cloud computing
13. Timeline of cloud computing
1960 1999 2002 2010
Introduction of
computers
Salesforce and VMWare
came into existence
Google App Engine was
launched
Emergence of the first
VM
1972 1977 1991 2008
The term “cloud” was
coined
The World Wide Web
was created
Amazon Web Services
(AWS) was launched
Microsoft Azure was
launched
14. Why switch to cloud computing?
● Cost reduction, flexibility, and reliability.
● Absolute control over resources.
● Out of the box support for AI, ML and
analytics.
● Increase team’s performance and
strategies.
● Support for remote workforce.
Kyu switch karna hai ?
15. When we think about using cloud computing, we would
want to know what best suits our purpose. These are
the three main models of cloud:
● Software as a service (SaaS)
● Platform as a service (PaaS)
● Infrastructure as a service (IaaS)
Different flavours of cloud
18. Pricing in cloud computing
Now that we are familiar with cloud computing, we should also understand a bit
about the pricing model. Any major cloud provider charges their customers in the
following ways,
● Free tier
● Pay-as-you-go
● Full upfront
● Partial upfront
● No upfront
While free tier and pay-as-you-go might be a good choice for experimentation, for
the long run, reservation of your hardware is recommended.
19. Whatever the cloud provider might be, they provide a particular set of
tools that can be categorized as follows:
1. Compute
2. Storage
3. Database
4. Containers
5. Serverless
6. Security and IAM
7. Machine learning
8. Analytics
9. Cloud SDK
Product Categories
20. Certifications are the best way to showcase your skills. They not only prove your
knowledge, but also makes you stand out in the crowd. Certifications in cloud are of 3
kinds,
● Foundation: Gets you started with the cloud platform
● Associate: Gets you comfortable working in the platform
● Professional: Gets you covered up with security and best practices
Just a quick note. Although certifications are a good thing to pursue and
showcase, they are by no means the way to judge someone. Remember, you don’t
judge a book by its cover :)
Cloud certifications
21. 😜 What do you call an AI that
tells jokes?
A "comedAIan"! 🎤🤣
Narula Institute Of Technology
Sambit Chakraborty
Google DSC’23 AI-ML Lead
22. ChatGPT use karte ho ????
🤣🤣🤣
PS: FOR SOLVING CODING PROBLEMS
Narula Institute of technology
23.
24. Timeline of cloud computing
1951 2018 2020
From 2022
onwards
Noam Chomsky
publishes
Syntactic
Structures
1. FastText is
developed
2. OpenAI released
GPT-2
1. OpenAI released GPT-
3
2. Google released
LaMDA
1. Word2Vec is
developed
2. GloVe is developed
3. seq2seq based GRU
introduced
2013 & 2014 2015 2017 2021
Transformer model
developed;
Google Translate
improved
1. Generative
adversarial networks
(GANs) are developed;
2. GEN AI term coined
1. Google AI released
BERT
2. Meena Model got
founded by Google
Narula Institute of technology
25. What is Generative AI ????????.....
Generative AI is a Deep Learning Algorithm which
generates sequence of text, audio, image and synthetic
data, based on user input, known as prompt.
These are backed by Generative Model algorithm like
Naive Bayes etc and GANs.
Narula Institute of technology
26. Large Language Models (LLMs)
● LLMs are a special type of AI algorithm that trained on literally massive dataset
of text.
● Trained Using Strongly Supervised Dataset annotation technique.
● What kind of tasks it can perform??
- Generating texts, Translation, Question-Answer, Summarization, Creative
Content.
● Once your model is on its first version. Just finetune it. You’re ready to solve
multiple problems.
Example: Transformer, BERT, CTRL,
BLOOM, T5, RoBERTa etc..
Narula Institute of technology
27. Foundation Models (FMs)
● FMs are improved version of LLMs that trained on massive complex data which
mixes text, code, image, video, audio. Data scales time by time.
● Trained Using Self Supervise & Semi Supervise annotation technique.
● What kind of tasks it can perform??
- More diverse fine tasks than traditional LLMs
● Little effort needs to finetune the model
Example: GPT, LaMDA, PaLM, Pathways System,
Gopher, LLaMa, SeamlessM4T, Falcon,
Midjourney, Dall-E etc.
Narula Institute of technology
29. It’s a process of designing and crafting prompts to guide large
language models (LLMs) to generate the desired outputs.
Prompt Engineering
It is a crucial skill for anyone who wants to use LLMs effectively.
- It brings significant impact and improvement on the
quality of the output.
Tips:
1. Be clear and concise
2. Provide Context, assign role, variety of sentence structures, rules
3. Be specific and formal
4. Use examples, keywords
5. Avoid leading to bias, usage of slangs
Narula Institute of technology
31. ChatGPT, BARD use karna
bandh kardo 🤮🤮
Narula Institute of technology
32. Enough is enough…no more definitions and…..NO MORE EMOTIONAL DAMAGE
Forget everything and let’s get into GOOGLE’S Inventory of GEN AI
33. is leader in this diverse field.
From introducing Transformer architecture which made
today’s GEN AI move possible for other orgs…to announcing
most versatile Language Model - PaLM, which actually
powerful than the GPT-4, when it SCALES
Narula Institute of technology
34. DUET AI
Elevate your working experience in Google Workspace
Gmail:
● Smart Compose
● Smart Reply
Google Docs:
● Smart Compose
● Idea Brainstorming
● Smart Rewrite
● Summarizer
Google Sheets:
● Smart Organizer
Google Slides:
● Custom Visuals
Google Meet:
● Portrait Restore
● Portrait Light
● Automated Transcription*
● Meeting Summary*
Google Space:
● Chat Summary
*Will be released later this year
Narula Institute of technology
35. Vertex AI got GEN AI essence
Vertex AI is a unified platform on GCP for building and deploying machine learning models.
Announced in Google I/O’23 event, Vertex AI now has Generative AI support.
- PaLM 2
- New Foundation Models
- Codey
- Imagen
- Chirp
- Generative AI Studio
- Gen App Builder
- Model Garden
- Embeddings API, RLHF
Narula Institute of technology
36. PaLM 2
Stands for Pathway Language Model v2, developed by Google AI, successor of original PaLM model.
Tasks it performs:
- Have literature excellency
- Generate Music
- Generate Code & Scripts
- Write Email and letters
- Question & Answer
- Text Summarization and information retrieval
- Creative Content
USP: Seamless translation of 100+ languages, AR & VR
integration support, Robust and Failsafe scaling by
surpassing the accuracy of GPT-4
Narula Institute of technology
37.
38. Codey
Primarily targeted for Google Colab Integration. Based on PaLM 2 Model
Tasks it performs:
- Generating Code
- Analyzing and fixing errors
- Code Completion
- Improve code quality with uniqueness
USP: Natural Language dependency, 20+ Programming
language support efficiently, Smart Suggestion
Developed to rival with GPT powered Github Copilot
Narula Institute of technology
39. Imagen
Text-to-image diffusion model by Google AI. Primarily target for business.
Tasks it performs:
- High res image generation
- Product Image creation
- AR & VR integration
- Consistent Image generation with context
- Edit Images with generative filling
USP: AR-VR integration, consistency
Developed to rival with Midjourney, DALL-E, Firefly
Narula Institute of technology
40. Chirp
speech-to-text model by Google AI.
Tasks it performs:
- Speech Recognition & Analysis
- Voice assistant
- Live Captioning
- Live Translation
- Transcription
- Text-to-speech generation
USP: 100+ Language support, 98% Accuracy in English, Simultaneous
10 million distinct support of speakers, improved relative
Developed to rival with Whisper, Polly, SeamlessM4T
42. Project IDX
Narula Institute of Technology
Project IDX is a new browser-based
development experience built on
Google Cloud and powered by Codey.
Scan this QR to explore project IDX
43. Narula Institute of Technology
So long, farewell!
Just like AI, life is all
about continuous
learning and growth.
Take care! 🌱👋
Image generated by Imagen & DUET AI
47. Narula Institute Of Technology
Sawan Bhattacharya
Google DSC’23 Tech Lead
Unleashing the power of
the cloud Study Jam, one
question at a time. ☁️🌟
Your Cloud Facilitator
here.