With the recent buzz on Generative AI & Large Language Models, the question is to what extent can these technologies be applied at work or when you're studying and how easy is it to manage/develop your own models? Hear from our guest speaker from Google as he shares some insights into how industries are evolving with these trends and what are some of Google's offerings from Duet AI in Google Workspace to the GenAI App Builder on Google Cloud.
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.
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
Generative AI: Past, Present, and Future – A Practitioner's Perspective
As the academic realm grapples with the profound implications of generative AI
and related applications like ChatGPT, I will present a grounded view from my
experience as a practitioner. Starting with the origins of neural networks in
the fields of logic, psychology, and computer science, I trace its history and
align it within the wider context of the pursuit of artificial intelligence.
This perspective will also draw parallels with historical developments in
psychology. Against this backdrop, I chart a proposed trajectory for the future.
Finally, I provide actionable insights for both academics and enterprising
individuals in the field.
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.
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.
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.
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
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.
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
Generative AI: Past, Present, and Future – A Practitioner's Perspective
As the academic realm grapples with the profound implications of generative AI
and related applications like ChatGPT, I will present a grounded view from my
experience as a practitioner. Starting with the origins of neural networks in
the fields of logic, psychology, and computer science, I trace its history and
align it within the wider context of the pursuit of artificial intelligence.
This perspective will also draw parallels with historical developments in
psychology. Against this backdrop, I chart a proposed trajectory for the future.
Finally, I provide actionable insights for both academics and enterprising
individuals in the field.
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.
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.
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.
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
Exploring Opportunities in the Generative AI Value Chain.pdfDung Hoang
The article "Exploring Opportunities in the Generative AI Value Chain" by McKinsey & Company's QuantumBlack provides insights into the value created by generative artificial intelligence (AI) and its potential applications.
🔹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.
A non-technical overview of Large Language Models, exploring their potential, limitations, and customization for specific challenges. While this deck is tailored for an audience from the financial industry in mind, its content remains broadly applicable.
(This updated version builds on our previous deck: slideshare.net/LoicMerckel/intro-to-llms.)
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.
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
How do OpenAI GPT Models Work - Misconceptions and Tips for DevelopersIvo Andreev
Have you ever wondered why GPT models work? Do you ask questions like:
◉ How does GPT work? Why does the same problem receive different answers for different users? Is there a way to improve explainability? ◉ Can GPT model provide its sources? Why does Bing chat work differently? What are my ways to have better performance and improve completions? ◉ How can I work with data in my enterprise? What practical business cases could a generative AI model fit solving?
If you are tired of sessions just scratching the surface of OpenAI GPT, this one will go deeper and answer questions like why, why not and how.
Key Terms; ChatGPT Enterprise; Top Questions; Enterprise Data; Azure Search; Functions; Embeddings; Context Encoding; General Intelligence; Emerging Abilities; Chain of Thought; Plugins; Multimodal with DALL-E; Project Florence
Generative AI Use-cases for Enterprise - First SessionGene Leybzon
In this presentation, we will delve into the exciting applications of Generative AI across various business domains. Leveraging the capabilities of artificial intelligence and machine learning, Generative AI allows for dynamic, context-aware user interfaces that adapt in real-time to provide personalized user experiences. We will explore how this transformative technology can streamline design processes, facilitate user engagement, and open the doors to new forms of interactivity.
Understanding generative AI models A comprehensive overview.pdfStephenAmell4
Generative AI refers to a branch of artificial intelligence that focuses on enabling machines to generate new and original content. Unlike traditional AI systems that follow predefined rules and patterns, generative AI leverages advanced algorithms and neural networks to autonomously produce outputs that mimic human creativity and decision-making.
Let's talk about GPT: A crash course in Generative AI for researchersSteven Van Vaerenbergh
This talk delves into the extraordinary capabilities of the emerging technology of generative AI, outlining its recent history and emphasizing its growing influence on scientific endeavors. Through a series of practical examples tailored for researchers, we will explore the transformative influence of these powerful tools on scientific tasks such as writing, coding, data wrangling and literature review.
Use Case Patterns for LLM Applications (1).pdfM Waleed Kadous
What are the "use case patterns" for deploying LLMs into production? Understanding these will allow you to spot "LLM-shaped" problems in your own industry.
[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.
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.
Explore the risks and concerns surrounding generative AI in this informative SlideShare presentation. Delve into the key areas of concern, including bias, misinformation, job loss, privacy, control, overreliance, unintended consequences, and environmental impact. Gain valuable insights and examples that highlight the potential challenges associated with generative AI. Discover the importance of responsible use and the need for ethical considerations to navigate the complex landscape of this transformative technology. Expand your understanding of generative AI risks and concerns with this engaging SlideShare presentation.
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.
Exploring Opportunities in the Generative AI Value Chain.pdfDung Hoang
The article "Exploring Opportunities in the Generative AI Value Chain" by McKinsey & Company's QuantumBlack provides insights into the value created by generative artificial intelligence (AI) and its potential applications.
🔹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.
A non-technical overview of Large Language Models, exploring their potential, limitations, and customization for specific challenges. While this deck is tailored for an audience from the financial industry in mind, its content remains broadly applicable.
(This updated version builds on our previous deck: slideshare.net/LoicMerckel/intro-to-llms.)
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.
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
How do OpenAI GPT Models Work - Misconceptions and Tips for DevelopersIvo Andreev
Have you ever wondered why GPT models work? Do you ask questions like:
◉ How does GPT work? Why does the same problem receive different answers for different users? Is there a way to improve explainability? ◉ Can GPT model provide its sources? Why does Bing chat work differently? What are my ways to have better performance and improve completions? ◉ How can I work with data in my enterprise? What practical business cases could a generative AI model fit solving?
If you are tired of sessions just scratching the surface of OpenAI GPT, this one will go deeper and answer questions like why, why not and how.
Key Terms; ChatGPT Enterprise; Top Questions; Enterprise Data; Azure Search; Functions; Embeddings; Context Encoding; General Intelligence; Emerging Abilities; Chain of Thought; Plugins; Multimodal with DALL-E; Project Florence
Generative AI Use-cases for Enterprise - First SessionGene Leybzon
In this presentation, we will delve into the exciting applications of Generative AI across various business domains. Leveraging the capabilities of artificial intelligence and machine learning, Generative AI allows for dynamic, context-aware user interfaces that adapt in real-time to provide personalized user experiences. We will explore how this transformative technology can streamline design processes, facilitate user engagement, and open the doors to new forms of interactivity.
Understanding generative AI models A comprehensive overview.pdfStephenAmell4
Generative AI refers to a branch of artificial intelligence that focuses on enabling machines to generate new and original content. Unlike traditional AI systems that follow predefined rules and patterns, generative AI leverages advanced algorithms and neural networks to autonomously produce outputs that mimic human creativity and decision-making.
Let's talk about GPT: A crash course in Generative AI for researchersSteven Van Vaerenbergh
This talk delves into the extraordinary capabilities of the emerging technology of generative AI, outlining its recent history and emphasizing its growing influence on scientific endeavors. Through a series of practical examples tailored for researchers, we will explore the transformative influence of these powerful tools on scientific tasks such as writing, coding, data wrangling and literature review.
Use Case Patterns for LLM Applications (1).pdfM Waleed Kadous
What are the "use case patterns" for deploying LLMs into production? Understanding these will allow you to spot "LLM-shaped" problems in your own industry.
[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.
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.
Explore the risks and concerns surrounding generative AI in this informative SlideShare presentation. Delve into the key areas of concern, including bias, misinformation, job loss, privacy, control, overreliance, unintended consequences, and environmental impact. Gain valuable insights and examples that highlight the potential challenges associated with generative AI. Discover the importance of responsible use and the need for ethical considerations to navigate the complex landscape of this transformative technology. Expand your understanding of generative AI risks and concerns with this engaging SlideShare presentation.
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.
AI and ML Series - Introduction to Generative AI and LLMs - Session 1DianaGray10
Session 1
👉This first session will cover an introduction to Generative AI & harnessing the power of large language models. The following topics will be discussed:
Introduction to Generative AI & harnessing the power of large language models.
What’s generative AI & what’s LLM.
How are we using it in our document understanding & communication mining models?
How to develop a trustworthy and unbiased AI model using LLM & GenAI.
Personal Intelligent Assistant
Speakers:
📌George Roth - AI Evangelist at UiPath
📌Sharon Palawandram - Senior Machine Learning Consultant @ Ashling Partners & UiPath MVP
📌Russel Alfeche - Technology Leader RPA @qBotica & UiPath MVP
Article-An essential guide to unleash the power of Generative AI.pdfBluebash
Generative AI is a powerful branch of artificial Intelligence that allows computers to learn patterns from existing data and then employ that knowledge to create new data
How To Use AI To Clone Yourself. This AI Will Help Clone You and Do ALL The W...SOFTTECHHUB
Imagine a world where you could create a digital replica of yourself – a virtual clone that could handle all your work and responsibilities, freeing up your time and energy for the things that truly matter to you. Sound too good to be true? Welcome to the fascinating world of AI cloning, where science fiction meets reality.
In today's world, where demands on our time and attention seem endless, the idea of having a digital assistant that can seamlessly blend into our lives and take care of our tasks is incredibly appealing. AI cloning is a cutting-edge technology that promises to revolutionize the way we live and work by creating intelligent virtual assistants modeled after ourselves.
These AI clones are not mere robotic entities but rather sophisticated artificial intelligence systems trained to mimic our personalities, thought processes, and behavioral patterns. They can engage in natural conversations, understand complex tasks, and even learn and adapt over time, making them incredibly versatile and efficient.
In this comprehensive guide, we will delve into the fascinating world of AI cloning – exploring its inner workings, its numerous benefits, and the practical applications that are poised to transform various industries. We will also examine real-world examples of individuals and businesses that have already embraced this technology, and provide insights on how you too can harness its power to achieve greater productivity and work-life balance.
Solving the dilemma should you build or buy aiSkyl.ai
About the webinar
Long gone are the days of questioning if your organization requires Artificial Intelligence to drive competitive advantage. 84% of businesses say AI will enable them to obtain or sustain the competitive advantage [Forbes].
AI offers highly data-driven insights, automates mundane processes, enhances customer experience, and hence increases overall efficiency. 36% of executives say their primary goal for AI is to free up workers to be more creative by automating tasks [HBR].
Businesses know what AI solutions they need but the real challenge lies in getting them implemented. AI initiatives require proper evaluation of the organizations’ ability to build in-house AI technology or buy commercially available AI applications.
Through this webinar, you will know the factors to consider while making the decision of AI implementation, and you get the answer to your biggest question - whether to build or buy AI application.
What you will learn
What factors to evaluate before making a decision to build or buy an AI solution
What will you require to build an AI model specific to your organizational need
How does building an AI solution fit into the long-term business model and help in gaining competitive advantage
With the evolution of no-code AI, sectors such as web development are advancing while others are just emerging. Now, with these no-code AI platforms, businesses have a chance to explore the technology without needing to hire tech experts or adopting expensive strategies.
NO-CODE PLATFORMS HAVE MADE IT EASY TO CREATE PROGRAMS THAT USE ADVANCED TECHNOLOGIES. THE INTRODUCTION OF THESE PLATFORMS HAS RESULTED IN AN INCREASING NUMBER OF BUSINESSES ATTEMPTING TO USE THEIR CAPACITY TO BUILD AI SOLUTIONS.
With this, visual drag-and-drop tools come into the picture, aiding data scientists in filling the void and making AI less daunting for people with non-technical backgrounds.
This article discusses the top no-code platforms for building AI solutions.
MonkeyLearn
MonkeyLearn is an all-in-one text analysis and data visualization studio that can be used to extract topic, sentiment, intent, keywords, and other information from unstructured text-based data. Automatically tagging business data, presenting actionable insights and trends, and simplifying text classification and extraction processes are just a few of the features. It integrates with Zendesk, RapidMinder, and Google products, with a few others on the way. Also, it is one of the best blog resources for text analysis.
RunwayML
RunwayML is a tool for creators that focuses on creative work that involves dealing with pictures, videos, text, latent spaces, and segmentation masks, as well as motion capture, backdrop removal, and style transfer. They have a Generative Engine, which is a storytelling machine that generates visuals automatically as you write.
Finally
Businesses are increasingly turning to no-code platforms for a variety of reasons. Access to developers and software engineers slows project delivery, partly owing to the ripple impact on workforce management, and this is where technology can help. The unicorn we all want to catch is not only enabling your team to create solutions but also being relevant and competitive in the present context.
For more such updates and perspectives around Digital Innovation, IoT, Data
Infrastructure, AI & Cybersecurity, go to AI-Techpark.com.
Dr Christoph Nieuwoudt- AI in Financial Servicesitnewsafrica
Dr. Christoff Nieuwoudt delivered a keynote on AI in Financial Services at Digital Finance Africa 2023 on the 2nd of August 2023 at Gallagher Convention Centre, Johannesburg, Midrand.
How can AI & Automation make your business processes intelligentMindfields Global
Enterprises gain a deeper understanding of their processes as they progress further into their automation journey. Exploring the connection between AI, automation and understanding how these technologies help make your business processes intelligent is a necessary next step.
In today's tech-driven world, the integration of artificial intelligence (AI) into applications has become increasingly prevalent. From personalized recommendations to intelligent chatbots, AI enhances user experiences and optimizes processes. However, building an AI app can seem daunting to those unfamiliar with the process. Fear not! This guide aims to demystify the journey, offering step-by-step insights into how to build an AI app from scratch.
Estado tecnológico soluciones y disruptores IA, GOOGLEAMETIC
Presentación 'Estado tecnológico soluciones y disruptores IA' de Isaac Hernández. Country Manager, Google Cloud Iberia. GOOGLE en el II Encuentro de Inteligencia Artificial de AMETIC #AIlikeIT2
A presentation on how to lead the AI era with Microsoft Cloud. For the event: AI, Data, and CRM: Shaping Business through Unique Experiences. By Silia Sideri
Designing Impactful Services and User Experience - Lim Wee KheeNUS-ISS
In this engaging talk, we explore crafting impactful user-centric services, revealing the design principles that drive exceptional experiences. From empathetic customer journeys to innovative interfaces, learn how design can create meaningful connections, inspiring you to revolutionise your approach and drive lasting change in user satisfaction and brand success.
Upskilling the Evolving Workforce with Digital Fluency for Tomorrow's Challen...NUS-ISS
In today's digital age, the key to true transformation lies in our people. This talk will highlight the importance of digital fluency, emphasizing that everyone in an organization is now a digital professional. By synergizing the fundamental digital skills ranging from an agile mindset to making data-informed decisions and design thinking, we will discuss how a digitally skilled workforce can propel organizations to drive digital transformation with new heights of value creation. Though widespread workforce upskilling presents its challenges, this talk offers innovative organizational learning approaches that may pave the way to success. Join us to find out how to shape the future of your organization where success is defined not just by technology but by a workforce fully equipped with digital competencies, ready to take on whatever the future holds.
How the World's Leading Independent Automotive Distributor is Reinventing Its...NUS-ISS
In this captivating session, we'll unveil the profound impact of AI, poised to revolutionise the business landscape. Prepare to shift your perspective, as we transition from the lens of a data scientist to the visionary mindset of a product manager. We're about to demystify the captivating world of Generative AI, dispelling myths and illuminating its remarkable potential. We will also delve into the pioneering applications that Inchcape is leading, pushing the boundaries of what's achievable. Join us for an exhilarating journey into the future of AI, where professionalism meets unparalleled excitement, and innovation takes center stage!
The Importance of Cybersecurity for Digital TransformationNUS-ISS
In the rapidly evolving landscape of digital transformation, the importance of cybersecurity cannot be overstated. As organizations embrace digital technologies to enhance their operations, innovate, and connect with customers in new and dynamic ways, they simultaneously become more vulnerable to cyber threats.
This talk will discuss the importance of having a well thought through approach in dealing with cybersecurity in the form of a strategy that lays out the various programmes and initiatives that will underpin a secure and resilient digital transformation journey. Not surprisingly, having a pool of well-trained cybersecurity personnel is one of the key ingredient in a cyber strategy as exemplified in Singapore's own national cybersecurity strategy.
Architecting CX Measurement Frameworks and Ensuring CX Metrics are fit for Pu...NUS-ISS
Join us for a deep dive into the art of architecting Customer Experience (CX) measurement frameworks and ensuring that CX metrics are precisely tailored for their intended purpose. In this engaging session, you'll walk away with actionable insights and a tangible plan for refining your measurement strategies. Discover how to craft CX measurement frameworks that align seamlessly with your business objectives, ensuring that your metrics deliver meaningful and robust insights. Whether you're seeking to enhance customer satisfaction, optimise processes, or drive innovation, this session will provide you with potential approaches and practical steps to bolster the effectiveness and relevance of your CX metrics. It's your blueprint for creating a customer-centric roadmap to success.
Digital Product-Centric Enterprise and Enterprise Architecture - Tan Eng TszeNUS-ISS
Enterprises striving to unlock value through digital products face a pivotal shift towards product-centric management, a transformation that carries its share of challenges. To navigate this journey successfully, close collaboration between Enterprise Architects and Digital Product Managers is essential. Together, they can craft the ideal strategy to deliver digital products on a grand scale. Join us in this session as we shed light on the critical interactions and activities that foster synergy between Enterprise Architects and Digital Product Managers. Discover how this collaboration paves the way for effective product-centric management, enabling enterprises to harness the full potential of their digital offerings.
Emerging & Future Technology - How to Prepare for the Next 10 Years of Radica...NUS-ISS
We find ourselves in an era of exponential growth and transformation. The relentless pace of technological advancement is reshaping our world at a rate never seen before, making it increasingly challenging to stay abreast of these rapid developments. Join us for an insightful talk where we embark on a journey to explore the most significant technology trends set to unfold over the next decade. These trends promise to be nothing short of seismic, with the power to reshape every facet of our lives, from the way we work and learn to how we forge relationships and structure our society. Prepare to be enlightened as we delve into a future where the very fabric of our existence is on the brink of transformation. This talk is your compass to navigate the uncharted territory of tomorrow's world, and it's an opportunity you won't want to miss.
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...NUS-ISS
The hottest topic in the tech world right now is generative AI. In this session, we go beyond the hype to delve into honest answers about how generative AI is impacting the future of work. This is an important topic for all digital leaders to have a thorough understanding of when driving digital transformation.
Supply Chain Security for Containerised Workloads - Lee Chuk MunnNUS-ISS
Containers have emerged as an indispensable component of modern cloud-native applications, serving diverse roles from development environments to application distribution and deployment on platforms like Azure's App Service and Kubernetes. In this presentation, we will delve into a suite of powerful tools designed to ensure the adoption of best practices in container management. You'll gain insights into how to scan container images rigorously, identifying and mitigating vulnerabilities effectively. We'll also explore the art of generating comprehensive software bill of materials (SBOM) for your containers and the significance of signing container images for enhanced security. The ultimate goal of this presentation is to empower you with the knowledge and skills necessary to seamlessly integrate these tools and practices into your CI (Continuous Integration) pipelines. By the end of this session, you'll be well-equipped to fortify your container workflows, delivering secure and robust cloud-native applications that thrive in today's dynamic digital landscape.
The future is always uncertain. To be truly future-ready, companies need the ability to quickly learn and adapt and to foster a culture of continuous curiosity and experimentation. But how can we facilitate rapid learning throughout the organisation? What will the future of learning look like for you? How can we ensure our organisations become engines of growth through learning?
The future is always uncertain. To be truly future-ready, companies need the ability to quickly learn and adapt and to foster a culture of continuous curiosity and experimentation. But how can we facilitate rapid learning throughout the organisation? What will the future of learning look like for you? How can we ensure our organisations become engines of growth through learning?
Site Reliability Engineer (SRE), We Keep The Lights On 24/7NUS-ISS
There are many phases in the software development cycle, from requirements to development and testing, but at the tail of the process, is an often overlooked aspect: deployment and delivery. With the paradigm shift of delivering on-site software to offering software-as-a-service, Site Reliability Engineering is beginning to take a greater role in product delivery.
This session aims to give a glimpse of the work that goes into site reliability engineering (SRE) and effort that goes into keeping a service going 24/7.
Product Management in The Trenches for a Cloud ServiceNUS-ISS
More often than not, people’s perception of Product Management is usually centred around the definition, management and prioritisation of software features and functionality. While that is largely true, it is also one of many things that a Product Manager needs to focus on, given limited time and resources.
This session aims to provide an unfiltered view of how Product Management looks like in the context of Enterprise Cloud Applications development, the challenges confronting Product Managers, and the tradeoff decisions to be made in order to overcome these challenges.
All this, while shipping a working product with each release that will surprise and delight the end user.
Overview of Data and Analytics Essentials and FoundationsNUS-ISS
As companies increasingly integrate data across functions, the boundaries between marketing, sales and operations have been blurring. This allows them to find new opportunities that arise by aligning and integrating the activities of supply and demand to improve commercial effectiveness. Instead of conducting post-hoc analyses that allow them to correct future actions, companies generate and analyze data in near real-time and adjust their operations processes dynamically. Transitioning from static analytics outputs to more dynamic contextualized insights means analytics can be delivered with increased relevance closer to the point of decision.
This talk will cover the analytics journey from descriptive, predictive and prescriptive analytics to derive actionable and timely insights to improve customer experience to drive marketing, salesforce and operations excellence.
With the use of Predictive Analytics, companies are able to predict future trends based on existing available data. The actionable business predictions can help companies achieve cost savings, higher revenue, better resource allocation and efficiency. Predictive analytics has been used in various sectors such as banking & finance, sales & marketing, logistics, retail, healthcare, F&B, etc. for various purposes.
Get set to learn more about the different stages of predictive analytics modelling such as data collection & preparation, model development & evaluation metrics, and model deployment considerations will be discussed.
In this digital transformation era, we have seen the rise of digital platforms and increased usages of devices particularly in the area of wearables and the Internet of Things (IoT). Given the fast pace change to the IoT landscape and devices, data has become one of the important source of truth for analytics and continuous streaming of data from sensors have also emerged as one of the fuel that revolutionise the emergence of IoT. These includes health telematics, vehicle telematics, predictive maintenance of equipment, manufacturing quality management, consumer behaviour, and more. With this, we will give you an introduction on how to leverage the power of data science and machine learning to understand and explore feature engineering of IoT and sensor data.
Diagnosing Complex Problems Using System ArchetypesNUS-ISS
In today’s VUCA world, we are faced with problems coming in fast and furious. In order to resolve such problems quickly, we need to first understand the problems. One of the techniques to understand complex problem is through the use of system archetypes. System archetypes are patterns of behaviour of a system. Let’s us explore some of the system archetypes in this session as well as tips on how to resolve them.
Satisfying the ‘-ilities’ of an Enterprise Cloud ServiceNUS-ISS
‘Feature is DONE !’ A regular statement that is typically shared by an overjoyed engineer who is declaring the completion of a feature that he/she has implemented and has been approved by a test engineer. BUT is it ‘Done, Done ?!!’ Engineering an enterprise cloud services would require teams to satisfy the ‘ilities’ requirements. If you are wondering what they are, how engineering teams tackle them and satisfy these requirements, this session will give you an insight of the work and investment needed for a feature to be ‘Done’ in the enterprise cloud world.
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.
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/
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
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
"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.
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
Understanding GenAI/LLM and What is Google Offering - Felix Goh
1. Understanding LLM/GenAI
Google Portfolio of AI Services
Felix Goh
Strategic Lead, Singapore
Education, Research and EdTech
Global Public Sector, Google Cloud
M: +65 90117062 | E: fgoh@google.com
2. Introductions
Born and breed in Singapore, gone through the
Singapore education system & military system.
Started my career as an IT Trainer teaching Pri - Sec
school students.
Focused on the education sector for over 17 years
holding technical, consultant, program and sales
roles.
3. The AI Revolution & How it’s impacted Industries
Exploring Google Portfolio of Services
What’s Next and how do I get started?
Contents
6. Confidential + Proprietary
First, some vocab
Generative Model: An ML model that produces content, including language,
code, imagery, music, video, etc.
Large Language Model: machine learning models that are really good at
understanding and generating human language. Large refers to both size and
complexity of the neural network itself, as well as the size of the dataset it was
trained on. Can also be used for non-generative language tasks (eg classification)
Transformer: The neural network architecture underlying most of today’s
generative models (and, more widely, most SOTA ML models). Published by Google
in 2017.
7. What is
Generative AI?
AI
Artificial Intelligence
Ability for machines to
mimic human intelligence
ML
Machine Learning
Making predictions using data
NLP
Natural Language Processing
Machine learning with text data
as input
DL
Deep Learning
Based on deep neural network
LLM
Large Language Models
NLP neural networks based on
1b+ model parameters
GLM
Universal/Foundation Models
General purpose language
models, text generation models
capable of solving many use
cases
8. The Path to Generative Language Models
Traditional Programming
Is this a cat?
This is a cat.
This is not a cat.
Yes.
Wave of Neural Networks (~2012)
Go read this huge
pile of books.
So, you’ve learned
about cats and a ton
of other concepts.
What’s a cat?
A cat is…
Generative Language Models
12. Proprietary + Confidential
A paradigm shift across industries powered by
Generative AI
Internal - The Impact of Generative AI in the Enterprise
Technology Media & Telecom Consumer & Retail
Life Sciences &
Healthcare
Banking & Fin.
Services
Industrial &
Manufacturing
Government &
Public Sector
Personalized
AR/VR
Experience
Generation
Interactive
Streaming & User
Engagement
Conversational
eCommerce &
Retail
AR/VR Content
Generation for
Digital Therapy
Fraud Simulation
& Pattern
Detection
Generative AR/VR
Product design
Academic 24/7
Office Hours
Virtual Assistant
Personalized &
Automated
UI/UX Design
Trailer Generation
& Feedback
Curation
Customized
Product Design &
Recommendation
Predictive &
Virtual Patient
Triage
Tax and
Compliance Audit
& Scenario
Testing
Generative
Simulation &
Safety Testing
Infrastructure
Mapping &
Planning
Synthetic
Outage / Threat
Simulation for
Testing
Script/Score
Design & Subtitle
Generation
Product Details &
Photography
Generation
Protein
Sequence
Modeling for
Drug Discovery
Personalized
Virtual Financial
Advisor
Text-to-Simulatio
n Product Design
& Development
Predictive
Policing &
Emergency
Response
Autonomous
Code
Generation &
Completions
Personalized News
& Content
Generation
Digital Shopping
Assistant & Exp.
Management
Genomic
Analysis for
Personalized
Therapy Plans
End-to-end
Automated
Claims
Processing
Automated
Technical
Equipment
Training
Personalized
Academic
Planning &
Testing
Automated
Debugging &
Issue Resolution
Personalized
Wired/Wireless
Phone Plans
Personal Travel
& Logistics
Assistant
Diagnostic
Decision
Support &
Report
Generation
Financial
Reporting
Analysis & Insight
Generation
Generative
Automation for
Smart Factories
NLP-based
Administrative
Processing
Generative Product /
Offering Design
Self-serve HR &
IT functions
End-to-end Automated
Customer Service
Accessibility Support
(text-to-speech &
speech-to-text)
Social Media Marketing
Campaign Generation
Enterprise Search &
Knowledge Management
Text Summarization &
Image Generation
Marketing / Sales
Content Generation
Customer Feedback
Sentiment Classification
Market Research
Acceleration
Vertical
Use
Cases
Horizontal
Use
Cases
Emerging
Mature
Early value capture through horizontal
use cases across industries such as
customer support, content generation
Vertical use cases will require nuanced
domain expertise and customized
models
13. Google Workspace brings the
best of Google to Education
AppSheet
Productivity &
Work Transformation
14. Even with Google Workspace…
Spelling & Grammar Suggestions
Smart Reply
Noise Cancellation
Portrait Restore
Smart Compose
Malware Detection and Prevention
2017 2018 2019 2020 2021 2022 2023
2016
Explore
2015
Suggested Actions
Chart Suggestions
Answers
Grammar Suggestions
Formula Acceleration Formula Suggestions
Smart Compose
Smart Compose
File Suggestions
Write & Re-Write
AI-Generated Summaries
Sharing Suggestions
15. Generative AI in
Google Workspace
Easily integrate an intuitive,
natural language experience
that delights your customers
and drivers conversion into
your existing consumer
search apps and platform.
17. Google Cloud brings the
best of Google to Education
AppSheet
Compute
Engine
Google
Kubernetes
Engine
App
Engine
Cloud
Storage
Cloud
VPN
Google
Cloud
Armor
Application
Migration
Security
Command
Center
IAM
Virtual
Private
Cloud
Cloud
Network
Contact
Center AI
BigQuery AI Platform Cloud
Spanner
Cloud
SQL
Apigee API
Platform
Cloud
Data
Fusion
Apigee
Sense
Productivity &
Work Transformation
Public Cloud Hybrid Cloud Multi Cloud Edge Cloud
Infrastructure-as-a-Service
Insights Platform/
Smart Analytics
-as-a-Service
Data
Management
-as-a-Service
API Management
-as-a-Service
Application
Platform
-as-a-Service
18. Generative AI: for businesses & governments
Generative AI support in Vertex AI
Generative AI APIs, end to end support from serving to tuning of
foundation models
● Generative AI APIs across multiple modalities
● Model Garden and Generative AI Studio
● Prompt design and prompt tuning
● Fine tuning of foundation models
● Foundation model support for training, prediction and ML Ops
Generative AI App Builder
Fast application development leveraging the power of search,
immersive conversational experiences, and foundation models
with enterprise controls
Search
● Google-quality out-of-box
search
● Tuneable
● Multimodal
● Conversational
Conversation
● Single Turn
● Multi Turn
● Information Seeking
● Transactional
● Flow Control
19. Expanding our portfolio
To support the needs of Generative AI centric enterprise development
Business users
Developers
AI Practitioners
Vertex AI
Powered by Foundation Models
CCAI Document AI Discovery AI Healthcare AI
Conversation AI
Enterprise Search
Foundation
Models
Generative AI
App Builder
End-to-End ML Platform
Generative AI Studio | Generative AI APIs | Model Garden
Google Cloud Infrastructure
Powered by Foundation Models Powered by Foundation Models Powered by Foundation Models
21. Proprietary + Confidential
Enterprise Search
Developers
No ML skill required
AI Practitioners
Advanced ML skill
OOTB search
Google-quality out-of-the-box search
experience for implementers
Fast and easy setup for
Application Developers
Tuneable, multimodal, &
conversational search
“Tune the OOTB” search
Customization for
Search Developers
Build your own search
“Build your own” search with advanced
ML/AI
Model training/ tuning for
AI/ML Engineers
23. Education, research & tools
Online training courses, guidebooks, research papers,
product documentation, RAI best practices, Tensorflow
Responsible AI toolkit
Product & use case reviews
Customer AI Use case & Product Development Reviews,
Fairness Testing
Responsible AI offerings
ML Metadata, Model Registry, Explainable AI, Model
Monitoring
AI comes with its own set
of unique challenges.
At Google, we are integrating AI into our
products boldly and with a deep sense of
responsibility and highest standards of
information integrity with our AI principles.
Responsible AI at the foundation
24. surveillance violating internationally
accepted norms
1 be socially beneficial
avoid creating or reinforcing unfair bias
2
be built and tested for safety
3
be accountable to people
4
incorporate privacy design principles
5
uphold high standards of scientific
excellence
6
7 be made available for uses that accord
with these principles
AI should:
likely to cause overall harm
principal purpose to direct injury
purpose contravenes international law
and human rights
Google
AI Principles
1
2
3
4
Applications we will
not pursue:
26. Introduction to Generative AI Learning Path
This learning path provides an overview of generative AI concepts, from the fundamentals of large language
models to responsible AI principles.
27. Introduction to Large Language Models
An introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized,
and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
28. Google Certified Coach (GCC)
The Certified Coach program empowers
instructional coaches to work 1:1 with
educators and drive impactful technology
use in their schools.
Google Certified Educator
Level 1 (GCE Level 1)
The Google Certified Educator Level 1
offers certification on the fundamentals of
Google Workspace for Education.
Google Certified Innovator (GCI)
The Certified Innovator program are for educators
who innovate with technology to solve meaningful
challenges in educator.
Google Certified Trainer (GCT)
The Certified Trainer program empowers
instructional leaders to train, develop, and
support educators in learning with technology
Google Certified Educator
Level 2 (GCE Level 2)
The Google Certified Educator Level 2
offers certification on the advance uses of
Google Workspace for Education.
Google Certified Educator
In Google for Education, we offer certification programs to help educators equip
themselves with the right tools. These certifications are globally recognised and provides
opportunities for educators to be leaders in their schools.
29. ● Explore what you can do with Google
Cloud Platform to engage students
and enhance teaching.
● It is the intent of the program that the
credits are used by students to learn
how to use the cloud for career
development purposes.
● Faculty can apply to receive $100 in
GCP credits and $50 per student.
Credits can be used in courses,
student clubs, and other
faculty-sponsored events.
Google Cloud
Credits for Learning
● Get hands-on experience using
Google Cloud Platform with training
for everyone from beginners through
advanced users.
● Faculty can apply for 5,000 Qwiklabs
credits, while students and IT enablers
can apply for 200 credits. Everyone
can request free access to 13 online
training courses in Coursera.
Google Cloud
Training Credits
● Transform research data into valuable
insights and conduct large-scale
analyses with the power of Google
Cloud Platform.
● Research faculty can apply for up to
$5,000 in Google Cloud Platform
credits for academic research.
Google Cloud Research
Credits
Google Cloud Programs for Education
Fuel new research, encourage teachers to innovate, and offer Google Cloud Platform training and
certification with credits and discounts from Google
30. ● Google Cloud Generative AI Learning Path
● Google Skillshop
● Skills Ignition SG
● Google Digital Garage
● Google Bard
● Google AI Test Kitchen
● Google AI
● Google Interland
Additional
Resources
31. Thank you for attending NUS-ISS Learning Festival!
We hope you have gain great insights and knowledge from the sessions today and we want to
hear from you!
1. Post your photo or video on your Facebook/Instagram/TikTok/Linkedin account. Remember to
make your post public!
2. Use the hashtag #NUSISSLearningFestival and tag our official account (@iss.nus/@nus_iss)
to make sure we see your masterpiece.
3. In the caption, share your insights or takeaways from the festival. What have you learned?
What inspired you?
The best entries will get a complimentary course of your choice from our Blended Learning
Programmes!
Let's make learning a blast! 🚀💡😁
Share Your Learnings!
32. We’d Love to Hear From You
Speakers’ decks will be shared with attendees who completed the post event survey.
33. Thank You
Felix Goh
Strategic Lead, Singapore
Education, Research and EdTech
Global Public Sector, Google Cloud
M: +65 90117062 | E: fgoh@google.com
