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.
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.
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.
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.
For many decades now, the software industry has attempted to bridge the productivity gap, develop higher quality code and manage the ever growing complexity of software-intensive systems. The results have been mixed, and as a result, a great majority of today's software is still written manually by human developers. This is about to change rapidly as recent developments in the field of Artificial Intelligence show promising results. While artists and designers have been taken by surprise by OpenAI’s DALL-E 2’s capabilities in designing unique art, ChatGPT has astonished the rest of the world with its capability of understanding human interaction. AI-assisted coding solutions such as Github’s Copilot and Replit’s Ghostwriter, among many others, are rapidly developing in a direction where AI generates new code that runs fast with high quality. Little is known about the true capabilities of AI programmers and their impact on the software development industry, education, and research. This talk sheds light on the current state of ChatGPT, large language models including GPT-4, AI-assisted coding, highlights the research gaps, and proposes a way forward.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
An overview of the most important AI capabilities in marketing, advertising and content creation. I made this presentation to inform, educate and inspire people in the creative industries to familiarise themselves with the incredible toolsets that are already here and in development. I also explain how generative Ai works explore some possible new roles and business models for agencies. Hope you enjoy it!
Conversational AI and Chatbot IntegrationsCristina Vidu
Conversational AI and Chatbots (or rather - and more extensively - Virtual Agents) offer great benefits, especially in combination with technologies like RPA or IDP. Corneliu Niculite (Presales Director - EMEA @DRUID AI) and Roman Tobler (CEO @Routinuum & UiPath MVP) are discussing Conversational AI and why Virtual Agents play a significant role in modern ways of working. Moreover, Corneliu will be displaying how to build a Workflow and showcase an Accounts Payable Use Case, integrating DRUID and UiPath Robots.
📙 Agenda:
The focus of our meetup is around the following areas - with a lot of room to discuss and share experiences:
- What is "Conversational AI" and why do we need Chatbots (Virtual Agents);
- Deep-Dive to a DRUID-UiPath Integration via an Accounts Payable Use Case;
- Discussion, Q&A
Speakers:
👨🏻💻 Corneliu Niculite, Presales Director - EMEA DRUID AI
👨🏼💻 Roman Tobler, UiPath MVP, Co-Founder & CEO Routinuum GmbH
This session streamed live on March 8, 2023, 16:00 PM CET.
Check out our upcoming events at: community.uipath.com
Contact us at: community@uipath.com
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.
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.
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.
For many decades now, the software industry has attempted to bridge the productivity gap, develop higher quality code and manage the ever growing complexity of software-intensive systems. The results have been mixed, and as a result, a great majority of today's software is still written manually by human developers. This is about to change rapidly as recent developments in the field of Artificial Intelligence show promising results. While artists and designers have been taken by surprise by OpenAI’s DALL-E 2’s capabilities in designing unique art, ChatGPT has astonished the rest of the world with its capability of understanding human interaction. AI-assisted coding solutions such as Github’s Copilot and Replit’s Ghostwriter, among many others, are rapidly developing in a direction where AI generates new code that runs fast with high quality. Little is known about the true capabilities of AI programmers and their impact on the software development industry, education, and research. This talk sheds light on the current state of ChatGPT, large language models including GPT-4, AI-assisted coding, highlights the research gaps, and proposes a way forward.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
An overview of the most important AI capabilities in marketing, advertising and content creation. I made this presentation to inform, educate and inspire people in the creative industries to familiarise themselves with the incredible toolsets that are already here and in development. I also explain how generative Ai works explore some possible new roles and business models for agencies. Hope you enjoy it!
Conversational AI and Chatbot IntegrationsCristina Vidu
Conversational AI and Chatbots (or rather - and more extensively - Virtual Agents) offer great benefits, especially in combination with technologies like RPA or IDP. Corneliu Niculite (Presales Director - EMEA @DRUID AI) and Roman Tobler (CEO @Routinuum & UiPath MVP) are discussing Conversational AI and why Virtual Agents play a significant role in modern ways of working. Moreover, Corneliu will be displaying how to build a Workflow and showcase an Accounts Payable Use Case, integrating DRUID and UiPath Robots.
📙 Agenda:
The focus of our meetup is around the following areas - with a lot of room to discuss and share experiences:
- What is "Conversational AI" and why do we need Chatbots (Virtual Agents);
- Deep-Dive to a DRUID-UiPath Integration via an Accounts Payable Use Case;
- Discussion, Q&A
Speakers:
👨🏻💻 Corneliu Niculite, Presales Director - EMEA DRUID AI
👨🏼💻 Roman Tobler, UiPath MVP, Co-Founder & CEO Routinuum GmbH
This session streamed live on March 8, 2023, 16:00 PM CET.
Check out our upcoming events at: community.uipath.com
Contact us at: community@uipath.com
🔹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.
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.
A journey into the business world of artificial intelligence. Explore at a high-level ongoing business experiments in creating new value.
* Review AI as a priority for value generation
* Explore ongoing experimentation
* Touch on how businesses are monetising AI
* Understand the intent of adoption by industries
* Discuss on the state of customer trust in AI
Part 1 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com
Seminar on ChatGPT Large Language Model by Abhilash Majumder(Intel)
This presentation is solely for reading purposes and contains technical details about ChatGPT fundamentals
My presentation today about ChatGPT, Open AI, conversational AI, and the Future Of Work. Includes survey data from the audience. Presented at our Constellation Research Execution Network monthy Office Hours of CIOs, CDOs, and other CXOs.
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.
As an AI language model, ChatGPT is a program consisting of a large neural network that has been trained on vast amounts of textual data. Specifically, ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) family of models developed by OpenAI.
This presentation presents an overview of the challenges and opportunities of generative artificial intelligence in Web3. It includes a brief research history of generative AI as well as some of its immediate applications in Web3.
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.
This presentation is detailed on the topic of ChatGPT and covering other topics of Open AI like Whisper, Music, and Dall e. Made this with the sole purpose of my own presentation in class. With this presentation, I got 9.65 points out of 10, the best among the class. Hope You like it too.
AI and the Future of Work [TUG-CO, 11/15/23]Matt Small
This talk was given to the Tech User Group, Central Oregon on November 15th, 2023.
~~
AI revolutionizes the way we interact with information. It will change the way we work. In this talk, we will introduce the fundamental concepts and the latest research and policies in the field. We will then explore numerous opportunities and societal challenges related to technology adoption, work augmentation and identity. Finally, we will introduce Personal AI and the mission of Kwaai Lab.
Kwaai Lab, a non-profit, volunteer-based open-source AI lab, is composed of researchers, architects, developers, and philosophers. Our goal is to design and implement the tools, fundamentals, and policies that empower us all to own our own Personal AI assistants.
🔹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.
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.
A journey into the business world of artificial intelligence. Explore at a high-level ongoing business experiments in creating new value.
* Review AI as a priority for value generation
* Explore ongoing experimentation
* Touch on how businesses are monetising AI
* Understand the intent of adoption by industries
* Discuss on the state of customer trust in AI
Part 1 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com
Seminar on ChatGPT Large Language Model by Abhilash Majumder(Intel)
This presentation is solely for reading purposes and contains technical details about ChatGPT fundamentals
My presentation today about ChatGPT, Open AI, conversational AI, and the Future Of Work. Includes survey data from the audience. Presented at our Constellation Research Execution Network monthy Office Hours of CIOs, CDOs, and other CXOs.
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.
As an AI language model, ChatGPT is a program consisting of a large neural network that has been trained on vast amounts of textual data. Specifically, ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) family of models developed by OpenAI.
This presentation presents an overview of the challenges and opportunities of generative artificial intelligence in Web3. It includes a brief research history of generative AI as well as some of its immediate applications in Web3.
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.
This presentation is detailed on the topic of ChatGPT and covering other topics of Open AI like Whisper, Music, and Dall e. Made this with the sole purpose of my own presentation in class. With this presentation, I got 9.65 points out of 10, the best among the class. Hope You like it too.
AI and the Future of Work [TUG-CO, 11/15/23]Matt Small
This talk was given to the Tech User Group, Central Oregon on November 15th, 2023.
~~
AI revolutionizes the way we interact with information. It will change the way we work. In this talk, we will introduce the fundamental concepts and the latest research and policies in the field. We will then explore numerous opportunities and societal challenges related to technology adoption, work augmentation and identity. Finally, we will introduce Personal AI and the mission of Kwaai Lab.
Kwaai Lab, a non-profit, volunteer-based open-source AI lab, is composed of researchers, architects, developers, and philosophers. Our goal is to design and implement the tools, fundamentals, and policies that empower us all to own our own Personal AI assistants.
AI EXPLAINED Non-Technical Guide for PolicymakersBranka Panic
This guide is meant to help policymakers and citizens understand the basics of Artificial Intelligence (AI) and how it affects our society. It offers explanations and additional resources to help policymakers prepare for the current
and future AI developments.
Artificial Intelligence (AI) is one of the hottest topics in the tech and startup world at the moment. The field of AI and its associated technologies present a range of opportunities – as well as challenges – for corporates. Learn more about what Artificial Intelligence means for your organization.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
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
This guide demystifies AI and democratizes AI knowledge on how it creates and delivers value. It provides an essential understanding of AI to anyone with varying technical knowledge, curiosity, and interest in the technology.
Similar to [DSC DACH 23] ChatGPT and Beyond: How generative AI is Changing the way people interact with computers - Iveta Lohovska (20)
[DSC MENA 24] Medhat_Kandil - Empowering Egypt's AI & Biotechnology Scenes.pdfDataScienceConferenc1
In this talk, I'll journey from my time as a Research Assistant at the Bernoulli Institute, delving into the classification of neurodegenerative diseases, to my encounters with groundbreaking biotechnology and AI companies like Proteinea, AlProtein, Rology, and Natrify in Egypt. These innovative ventures are reshaping industries from their Egyptian hub. Join me as I illuminate the transformative power of this thriving ecosystem, showcasing Egypt's remarkable strides in biotech and AI on the global stage.
Building big scale data product doesn't rely only on sophisticated modeling. It also requires an agile methodology, iterative research & development process, versatile big data stack, and a value-oriented mindset. I'll discuss how we -at Dsquares- build big-scale AI product that leverages clients' data from different industries to deliver business-critical value to the end customer. I'll cover the process of product discovery, R&D tasks for unsolved problems, and mapping business requirements into big data technical requirements.
[DSC MENA 24] Asmaa_Eltaher_-_Innovation_Beyond_Brainstorming.pptxDataScienceConferenc1
Innovation thrives at the intersection of data and creativity. While brainstorming has traditionally fueled the generation of new ideas, leveraging data alongside creative techniques empowers organizations to develop more effective and impactful innovations
[DSC MENA 24] Basma_Rady_-_Building_a_Data_Driven_Culture_in_Your_Organizatio...DataScienceConferenc1
In today's fast-paced and competitive business environment, harnessing the power of data is essential for staying ahead. Building a data-driven culture within an organization is not just a strategic advantage, but a necessity for those who wish to thrive and innovate. In this insightful talk, our esteemed speaker, a Chief Data Scientist with a decade of experience in the financial services sector, will unravel the complexities of embedding data into the DNA of your organization. The speaker will explore the key tenets of establishing a data-centric mindset, the importance of executive support, and the need for enhancing data literacy across the company. Practical solutions and real-world examples will be provided, demonstrating how to overcome obstacles and successfully integrate a data-driven approach. Attendees will learn strategies for empowering every team member to use data effectively and how to leverage technology to facilitate this cultural shift. The session promises to be a guide for those looking to champion data within their organizations, offering actionable insights for transformation.
[DSC MENA 24] Ahmed_Muselhy_-_Unveiling-the-Secrets-of-AI-in-Hiring.pdfDataScienceConferenc1
The use of Artificial Intelligence (AI) is rapidly transforming the recruitment landscape. This talk explores the various ways AI is being used in hiring, from candidate sourcing and screening to skills assessments and interview preparation. We'll discuss the benefits of AI, such as increased efficiency and reduced bias, but also address potential drawbacks like ethical considerations and the human touch.
[DSC MENA 24] Ziad_Diab_-_Data-Driven_Disruption_-_The_Role_of_Data_Strategy_...DataScienceConferenc1
In today's business landscape, data strategy plays a pivotal role in driving innovation within business models. This talk explores how organizations can leverage data effectively to transform their operations, products, and services.
[DSC MENA 24] Mohammad_Essam_- Leveraging Scene Graphs for Generative AI and ...DataScienceConferenc1
Delve into the unexplored potential of scene graphs in the realms of Generative AI and innovative data product development. This session unveils the intricate role of scene graphs in generating realistic content and driving advancements in computer vision, and automated content creation. Join us for a journey into the intersection of scene graphs and cutting-edge AI, gaining insights into their pivotal role in reshaping the landscape of data-centric innovation. This talk is your gateway to understanding how structured visual representations are shaping the future of AI and revolutionizing the creation of data-driven solutions.
This presentation will delve into the transformative role of Artificial Intelligence in reshaping social media landscapes. We'll explore cutting-edge AI technologies that are integrating with social media platforms, altering how we interact, consume content, and perceive digital communities. The talk will also cast a visionary eye towards future trends, discussing potential impacts on user experience, content creation, digital marketing, and privacy concerns. Join us to uncover how AI is not just a tool but a game-changer in the evolving narrative of social media.
Supercharge your software development with Azure OpenAI Service! Azure cloud platform provides access to cutting-edge AI models for diverse tasks. Explore different models for generating content, translating languages, and even generating code. Leverage data grounding to fine-tune models for your specific needs. Discover how Azure OpenAI Service accelerates innovation and injects intelligence into your software creations.
[DSC MENA 24] Nezar_El_Kady_-_From_Turing_to_Transformers__Navigating_the_AI_...DataScienceConferenc1
In this insightful talk, we'll embark on a journey from the origins of programming in 1883 and the conceptualization of AI in the 1950s, to the current explosion of AI applications reshaping our world. We'll unravel why AI has surged to prominence in the last decade, driven by unprecedented data generation and significant hardware advancements. With examples ranging from individual email filtering to complex supply chain optimizations, we'll explore AI's pervasive impact across various sectors including finance, manufacturing, healthcare, and media. The talk will address the challenges of AI implementation, such as the high cost of AI teams and the quest for universally applicable models, while highlighting the promising horizon of no-code AI platforms democratizing access. Furthermore, we'll delve into the ethical dimensions of AI, from biases to privacy concerns, and the pressing question of AI's potential to replace human roles. Lastly, we'll discuss the transformative potential of language models and generative AI, underscoring the importance of understanding and integrating AI into our lives and businesses for a future that's both scalable and sustainable.
[DSC MENA 24] Omar_Ossama - My Journey from the Field of Oil & Gas, to the Ex...DataScienceConferenc1
Transitioning to a career in data science requires careful planning and smart choices. In this session, I'll help you understand how to switch to data science. Using my own experiences and what I've learned from the industry, we'll break down the important steps for a successful transition. We'll cover everything from figuring out which skills you can carry over to learning the technical stuff and connecting with other professionals. By the end, you'll have the knowledge and tools you need to start your journey into data science, whether you're a seasoned professional looking for something new or just starting out in the field.
[DSC MENA 24] Ramy_Agieb_-_Advancements_in_Artificial_Intelligence_for_Cybers...DataScienceConferenc1
With the continuous growth of the digital environment, the risks in the online realm also increase. This calls for strong security measures to safeguard valuable information and essential systems. Artificial Intelligence (AI) has become a powerful weapon in the fight against cyber threats. This talk presents a thorough examination of the most recent algorithms and applications of artificial intelligence in the field of cybersecurity.
[DSC MENA 24] Sohaila_Diab_-_Lets_Talk_Gen_AI_Presentation.pptxDataScienceConferenc1
What is Generative AI and how does it work? Could it eventually replace us? Let's delve deep into the heart of this groundbreaking technology and uncover the truths and myths surrounding Generative AI and how to make the most of it.
Background: The digital twin paradigm holds great promise for healthcare, most importantly efficiently integrating many disparate healthcare data sources and servicing complex tasks like personalizing care, predicting health outcomes, and planning patient care, even though many technical and scientific challenges remain to be overcome. Objective: As part of the QUALITOP project, we conducted a comprehensive analysis of diverse healthcare data, encompassing both prospective and retrospective datasets, along with an in-depth examination of the advanced analytical needs of medical institutions across five European Union countries. Through these endeavors, we have systematically developed and refined a formal Personal Medical Digital Twin (PMDT) model subjected to iterative validation by medical institutions to ensure its applicability, efficacy, and utility. Findings: The PMDT is based on an interconnected set of expressive knowledge structures that are calibrated to capture an individual patient’s psychosomatic, cognitive, biometrical and genetic information in one personal digital footprint in a manner that allows medical professionals to run various models to predict an individual’s health issues over time and intervene early with personalized preventive care.Conclusion: At the forefront of digital transformation, the PMDT emerges as a pivotal entity, positioned at the convergence of Big Data and Artificial Intelligence. This paper introduces a PMDT environment that lays the foundation for the application of comprehensive big data analytics, continuous monitoring, cognitive simulations, and AI techniques. By integrating stakeholders across the care continuum, including patients, this system enables the derivation of insights and facilitates informed decision-making for personalized preventive care.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
3. GENERATIVE AI
• Marketing, Content, Chat
Bots
• Drug Design
• Material Science
• Chip Design
• Synthetic Data
• Personalized Therapy
• Explaining Complex
Algorithms
• …
Supercomputing
efficiently
solves
extremely
complex or data
intensive
problems by
concentrating
the processing
power of
multiple,
parallel
computers.
3
4. AI
4
(artificial narrow intelligence)
self-driving cars, web search, smart
parking, prescriptive maintenance,
face recognition
AI
ANI AGI
(artificial general intelligence)
anything a human can do, ability to reason,
solve a puzzle, exhibit common sense,
consciousness
5. AI
5
(artificial narrow intelligence)
self-driving cars, web search, smart
parking, prescriptive maintenance,
face recognition
AI
ANI AGI
(artificial general intelligence)
anything a human can do, ability to reason,
solve a puzzle, exhibit common sense,
consciousness
ASI
(artificial superintelligence)
AI that surpasses human intelligence
7. Generative AI Models
7
Microsoft Corporation's co-founder Bill Gates praised OpenAI's AI-
powered chatbot called chatGPT and called it as significant as the
invention of the internet.
An artwork made by AI won first place at the Colorado State Fair's
fine arts competition, sparking controversy about whether AI-
generated art can be used to compete in competitions.
PARIS - Sciences Po, one of France's top universities, has banned
the use of ChatGPT, an artificial intelligence-based chatbot that can
generate coherent prose, to prevent fraud and plagiarism.
The AI Act is a proposed European law on artificial intelligence – the
first law on AI by a major regulator anywhere. The law assigns
applications of AI to three risk categories.
Ai Ethics: private companies, research institutions and public sector have
issued principles and guidelines for ethical AI. However, despite an apparent
agreement that AI should be ‘ethical’, there is debate about what constitutes
‘ethical AI’
• GPT-4
• DALL-E
• Whisper
• Bard
• Jasper
• Llama
• Palm
• Fliki
• …
Pause Giant AI Experiments: An Open Letter
We call on all AI labs to immediately pause for at least 6 months the
training of AI systems more powerful than GPT-4.
11. Is this the Future?
11
Timeline of images generated by AI
12. Is this the Future?
12
Timeline of images generated by AI
13. This is the Future
13
Timeline of images generated by AI High-resolution image reconstruction with
latent diffusion models from human brain
activity
14. Important for all AI Conversations, Designs, and Models
HPE AI ETHICS PRINCIPLES
Privacy
Enabled
and Secure
Human
Focuse
d
Inclusiv
e
Responsib
le
Robust
TRUSTWORTHY AI
Transparency Trust Bias Robustness
Fundamental Pillars Addressing Key Technology Gaps in Today’s Conventional AI
14
15. 15
Year 1800
6 hours
Year 1950
8 seconds
Year 2013
1/2 second
Year 2023
AI is a period of transformation
Intent of Slide: Explain why exascale era technologies are needed in digital transformation
Massive data growth felt by every organization, big and small is driving the need for larger and more detailed models and simulations and new ways to compute on that data with new algorithms such as AI and other data models that are used together with new algorithms that push the limits of loosely-coupled, scale out systems.
Taken together, this requirements are driving the need for infrastructure that increasingly relies on HPC and supercomputing technologies. We feel in time, that as digital transformation continues to take hold—all datacenters will require supercomputing technologies to support these new modeling, simulation, analytics, and AI workflows.
Intent of the slide: Illustrate HPE engagement with Zenseact for Highly Autonomous Driving
If there’s an auto brand synonymous with driver safety, it’s Volvo. And if there’s a new technology pushing the automobile into the vast unknown, it’s autonomous driving. At the center of that crossroads is Zenseact—a Volvo Cars-owned start-up that uses an HPE built consumption-based platform to deliver thousands of simulations per second and make cars safer.
The challenge of autonomous driving is one of the greatest facing the automotive industry today. To develop software that will safely and securely allow cars to drive autonomously, huge amounts of data needs to be collected and processed. Zenseact (formerly Zenuity), which is today wholly owned by the Swedish car maker, Volvo Cars Corporation (VCC) , has designed their platforms to deliver world-class performance in autonomous driving, while at all times meeting stringent real-world safety benchmarks.
HPE will provide the entire HPC/AI infrastructure and services to support the development of next generation autonomous driving features (L3), available on the market from 2023.
Press Release
https://www.hpe.com/psnow/doc/a50004350enw
For more information, please, contact aind_practice_nwe_geo@hpe.com
Pause Giant AI Experiments: An Open Letter
We call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4.
High-resolution image reconstruction with latent diffusion models from human brain activity
People had their brains scanned in an fMRI machine while viewing a target image. The scan data was then decoded and reconstructed with a diffusion model.
Intent of the slide: Expand Trustworthy AI (relative to all AI conversations)
Trustworthy AI is AI where accuracy, equity, sustainability, privacy, compliance, and confident are engineered in.
As more companies adopt AI, the importance of embedding key principles that enforces ethical and inclusive decisions in AI designs and models is critical. HPE’s ethical guidance for AI serves two critical needs:
Demonstrates with transparency how current technology can be applied with confidence
Illuminates where current technologies fall short and that’s where we need to innovate.
At HPE, we’ve crafted 5 principles to guide ethical AI across our products, processes and partnerships. These are guiding principles we will use during AI development, distribution or when we’re helping others create AI systems.
Privacy-enabled and secure—Designed and used to respect individual’s privacy, be secure and minimize the risk of errors, unintended or malicious use.
Human focused—Respect human rights and abide by law throughout their life cycle, designed and used with mechanisms and safeguards, such as capacity for human determination or oversight, to support responsible use and prevent misuse.
Inclusive—Designed and used to be inclusive, minimizes harmful bias, ensures fair and equal treatment and access for individuals.
Responsible—Designed to be used responsibly and mechanisms should be put in place to ensure accountability. AI systems should disclose information to allow a general understanding of the AI, including how AI can consume resources and influence outcomes. AI driven outcomes should be open to challenge.
Robust—Subject to a hazard-based safety engineering approach throughout their lifecycle to build in quality testing and technical safeguards to ensure appropriate function, minimize the risk of misuse, and impact of failure.
As we have applied these principles in practice, we’ve uncovered gaps where conventional AI is not meeting our aim of Trustworthy AI. Closing these technology gaps will take engineering and ingenuity. If we are successful in applying these 5 principles and also addressing these shortfalls, the result is Trustworthy AI.
Bias: How can a model unveil hidden correlations in the training data that can cause discrimination:
Explainability: Ensuring humans can remain in the loop in AI-driven decisions, or how to explain if the system works even when it behaves unexpectedly
Trust: Trust rooted in confidence you can measure: Confidence in decisions, or how to increase user’s confidence and make users comfortable with measures of stability and model reliability
Robustness: How to understand model failures, detecting and preventing adversarial attacks
Intent of the slide: AI importance and its adoption
Artificial intelligence and machine learning (AI and ML) are no longer the new game in town. As the C-suite continues to focus on shifting technological needs, AI is one of their highest priorities.
98% of customers say they’re already using AI in some capacity or conducting proof-of-concept or pilot programs.
Almost half of organizations put AI among their organization’s top 2 initiatives and 2/3 of dedicated AI budgets will continue or increase over the next year.
While AI certainly has significant mindshare, the depth, sophistication, and level of understanding of AI varies widely across organizations.
It is important to start from Data. A comprehensive data strategy is the foundation for a fully developed AI Strategy.
A lack of trust in data impedes further adoption: 63% of orgs still in the early stages of AI/ML development are skeptical of the data they work with.
Quick and easy access to Data is key for the success of advanced AI implementations. Indeed, only the 18% of orgs still in the early stages of AI/ML development, find easy and quick the access to their Data.
The most AI advanced organizations are scaling AI into Production with specialized tools and expertise, combining them in MLOps frameworks.
This is still a minority as we found that 14% have fully realized their AI Strategy and 89% need help scaling AI in Production.
Intent of the slide: Key principles for AI, which will be covered in later slides in the deck
What do the winning brands know?
They all agree that data is the lifeforce that’s essential for activating next-gen operating and business models for their business
For some, this is about delivering rich experience across billions of moments
For others, it’s about accelerating decision velocity to cut through organizational lethargy
And lastly, many are using data to see around the corner and to drive continuous innovation
They all agree that Artificial Intelligence success comes driving incremental business value
For some, this is about improving decision-making to reduce human error and move faster
For others, it’s uncover deeper insights improving quality and faster time to market
And lastly, many are using AI to deliver cost efficiency optimizing outcomes and productivity
They all agree that ML Ops is needed for bringing AI at Scale combining specialized software and expertise
For some, this is about integrate AI into existing IT to automate and collaborate better
For others, it’s a moving to Production pilots and standardize practices for optimization and efficiency benefits
And lastly, many are using ML Ops to overcome the last mile, operationalizing and generate business value