This document discusses AI and ChatGPT. It begins with an introduction to David Cieslak and his company RKL eSolutions, which provides ERP sales and consulting. It then provides definitions for key AI concepts like artificial intelligence, generative AI, large language models, and ChatGPT. The document discusses OpenAI's ChatGPT tool and how it works. It covers prompts, commands, and potential uses and impacts of generative AI technologies. Finally, it discusses concerns regarding generative AI and the future of life institute's call for more oversight of advanced AI.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Chat GPT 4 can pass the American state bar exam, but before you go expecting to see robot lawyers taking over the courtroom, hold your horses cowboys – we're not quite there yet. That being said, AI is becoming increasingly more human-like, and as a VC we need to start thinking about how this new wave of technology is going to affect the way we build and run businesses. What do we need to do differently? How can we make sure that our investment strategies are reflecting these changes? It's a brave new world out there, and we’ve got to keep the big picture in mind!
Sharing here with you what we at Cavalry Ventures found out during our Generative AI deep dive.
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.
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
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.
🔹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.
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
A brief introduction to generative models in general is given, followed by a succinct discussion about text generation models and the "Transformer" architecture. Finally, the focus is set on a non-technical discussion about ChatGPT with a selection of recent news articles.
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.
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
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.
"Increase Productivity with ChatGPT" is a comprehensive presentation that explores the benefits of using ChatGPT, to increase productivity in your working domain. From faster & accurate responses to quick task completion, discover how ChatGPT can help you to reach new levels of productivity and success.
Understanding the New World of Cognitive ComputingDATAVERSITY
Cognitive Computing is a rapidly developing technology that has reached practical application and implementation. So what is it? Do you need it? How can it benefit your business?
In this webinar a panel of experts in Cognitive Computing will discuss the technology, the current practical applications, and where this technology is going. The discussion will start with a review of a recent survey produced by DATAVERSITY on how Cognitive Computing is currently understood by your peers. The panel will also review many components of the technology including:
Cognitive Analytics
Machine Learning
Deep Learning
Reasoning
And next generation artificial intelligence (AI)
And get involved in the discussion with your own questions to present to the panel.
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.
Chat GPT 4 can pass the American state bar exam, but before you go expecting to see robot lawyers taking over the courtroom, hold your horses cowboys – we're not quite there yet. That being said, AI is becoming increasingly more human-like, and as a VC we need to start thinking about how this new wave of technology is going to affect the way we build and run businesses. What do we need to do differently? How can we make sure that our investment strategies are reflecting these changes? It's a brave new world out there, and we’ve got to keep the big picture in mind!
Sharing here with you what we at Cavalry Ventures found out during our Generative AI deep dive.
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.
This talk overviews my background as a female data scientist, introduces many types of generative AI, discusses potential use cases, highlights the need for representation in generative AI, and showcases a few tools that currently exist.
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.
🔹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.
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
A brief introduction to generative models in general is given, followed by a succinct discussion about text generation models and the "Transformer" architecture. Finally, the focus is set on a non-technical discussion about ChatGPT with a selection of recent news articles.
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.
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
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.
"Increase Productivity with ChatGPT" is a comprehensive presentation that explores the benefits of using ChatGPT, to increase productivity in your working domain. From faster & accurate responses to quick task completion, discover how ChatGPT can help you to reach new levels of productivity and success.
Understanding the New World of Cognitive ComputingDATAVERSITY
Cognitive Computing is a rapidly developing technology that has reached practical application and implementation. So what is it? Do you need it? How can it benefit your business?
In this webinar a panel of experts in Cognitive Computing will discuss the technology, the current practical applications, and where this technology is going. The discussion will start with a review of a recent survey produced by DATAVERSITY on how Cognitive Computing is currently understood by your peers. The panel will also review many components of the technology including:
Cognitive Analytics
Machine Learning
Deep Learning
Reasoning
And next generation artificial intelligence (AI)
And get involved in the discussion with your own questions to present to the panel.
Top 10 tredning technologies to learn in 2021Lokesh Agarwal
In this world of digitalization, technologies are expanding rapidly. As the world foremost tech news contributor, it is the duty of us to keep everyone updated with the newest trends of the top 10 trending technologies in 2021. Technology and programming language are so important in day to day lifestyle to make the livelihood more facile. These computer scientists and professionals are regularly making the bests out of anything. Technology has taken a face of more productiveness and give the best to the nation. In the present scenario, everything is done through the technical process, you don’t have to bother about doing work, everything will be done automatically. In this article, some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top 10 trending technologies in2021 and its impression in the coming future.
Entering the Conversational Era with Chatbots for the EnterpriseAleisha McKeeby
Free on-demand webinar recording: https://kore.com/entering-conversational-era-webinar/
Turning hype into action for emerging technologies like conversational AI, chatbots, machine learning, and natural language can be confusing and intimidating, but it doesn’t have to be. We will tell you what other vendors won’t to help you break through the noise and get you on your way to successfully leading your company into the conversational era.
We are seeing an explosion of the use of Bots in the areas of sales and customer service, but what makes a Chatbot useful? During the recent rise in Chatbot popularity we have seen many bad deployments, so how can you avoid the pitfalls and ensure your Bot succeeds?
Join us to learn all about the new world of Chatbots, Artificial Intelligence, Neuro-linguistic programming, Machine Learning and best practices for deploying the technology for your business.
A practical guide for startups to drive growth and innovation.
Denver Startup Week Product Track presentation by Argie Angeleas, Taylor Names, Matt Reynolds
Salesforce Architect Group, Frederick, United States July 2023 - Generative A...NadinaLisbon1
Joined our community-led event to dive into the world of Artificial Intelligence (AI)! Whether you were just starting your AI journey or already familiar with its concepts, one thing was certain: AI was reshaping the future of work. This enablement session was your chance to level up your skills and stay ahead in that rapidly evolving landscape.
As AI news continues to dominate headlines, it's natural to have questions and concerns about its impact on our lives. Will AI take over human jobs? Will it render us obsolete? Rest assured, the outlook is far brighter than you may think. Rather than replacing humans, AI is designed to enhance our capabilities and work alongside us. It won't be replacing marketers, service representatives, or salespeople—it will be empowering them to achieve even greater results. Companies across industries recognize this potential and are embracing AI to unlock new levels of performance.
During this enablement session, you'll have the opportunity to explore how AI advancements can positively influence your professional journey and daily life. We'll debunk common misconceptions, address fears, and showcase real-world examples of how successful AI implementation leads to workforce augmentation rather than replacement. Be prepared to gain valuable insights and practical knowledge that will help you navigate the AI landscape with confidence.
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
A confluence of events is accelerating the growth of AI in the Enterprise - (i) The COVID pandemic is accelerating the digital transformation of enterprises, (ii) increased digital sales & digital interaction is fueling interest in operationalizing AI to drive revenue and cost efficiencies and (iii) Enterprise databases and enterprise apps are infusing AI to transparently augment predictive capabilities for clients. Enterprise Power Systems are pillars of the global economy hosting our trinity of operating systems
How is ChatGPT and AI Revolutionizing Adaptive Project Portfolio ManagementOnePlan Solutions
In the rapidly evolving landscape of adaptive project portfolio management, emerging technologies like ChatGPT, Microsoft Copilot, Sofia GPT, and other AI tools are becoming viable options for gaining additional insights and saving time in your portfolio of projects.
This webinar delves into the transformative potential of these tools, offering insights into how they can streamline processes, enhance decision-making, and drive efficiency in Adaptive Project Portfolio Management.
Key Takeaways:
Project Portfolio Prioritization: Understand the role of Sofia GPT in portfolio prioritization, which is crucial for effective resource allocation and achieving high-impact outcomes.
Resource Optimization & Risk Management: Delve into how Sofia GPT aids in resource optimization and risk identification, pivotal for maximizing ROI and proactive project management.
AI-Enhanced Portfolio Decision Making: Learn how Sofia GPT’s automation and predictive analytics complement ChatGPT and Copilot, streamlining tasks and enhancing data-driven decision-making.
Enhancing Data Integrity and Strategic Insights: Explore AI’s role in augmenting data entry and automating information retrieval, ensuring data accuracy and informed strategic decision-making.
Building a Data Cloud to enable Analytics & AI-Driven Innovation - Lak Lakshm...Daniel Zivkovic
Learn how Google Cloud addresses the key challenges when building an Agile Data & AI platform. This lecture is important regardless of the Cloud you are (will be) using because most businesses face the same 6 challenges:
1. High-quality AI requires a lot of data
2. AI Expertise is in high demand
3. Getting the value of ML requires a modern data platform
4. Activating ML requires surfacing AI into decision UIs
5. Operationalizing ML is hard
6. State-of-the-art changes rapidly
The lecture recording with Q&A is at https://youtu.be/ntBEQdD1IeQ
Dev Dives: Unlock automation adoption with UiPath AppsCristina Vidu
In this developer-focused deep dive session, you will learn how to build modern and intuitive low-code applications using UiPath Apps. UiPath Partner, Ashling Partners, and our experienced Sales Engineer Silvana Schmitt will share UX and technical best practices for app development and show you how to implement them in a live build. This session is intended for a technical audience and requires a preliminary understanding of the UiPath Platform. Both new and seasoned UiPath Apps developers are welcome.
📕 During the session we will cover:
What is UiPath Apps?
Identifying Apps Use Cases Within your Organization
App Creation Framework (Ashling Partners)
Demo - Care Management App
Best Practices
BONUS: Get a Ready-to-Use Polling App.
Speakers:
👩💻 Silvana Schmitt, Sales Engineer @UiPath
👨💻 David Kroll, Director, Solutions Engineering @Ashling Partners
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
2. David M. Cieslak, CPA.CITP, CGMA, GSEC
RKL eSolutions, LLC - EVP, Chief Cloud Officer
Frequent speaker for AICPA, CalCPA and numerous
accounting industry groups and conferences
Named one of Accounting Today’s 100 Most Influential
People in Accounting 20 times
CPA Practice Advisor – 2011-23 “Top 25 Thought Leader,”
Hall of Fame Inductee – 2020
LA Business Journal Top 100 Accountant - 2022
AKA “Inspector Gadget”
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dcieslak@rklesolutions.com
Phone: 717-409-8835
www.rklesolutions.com
Twitter: @dcieslak
3. (www.rklesolutions.com)
Subsidiary of RKL LLP (#59 in the Top 100 CPA firms)
ERP sales and consulting since 2001: Sage Intacct, Sage 100, 500, X3
100+ employees in 22 states
Sage Intacct success
Rookie of the Year (2012)
Premier Partner (2015 – 2022)
Growth Partner of the Year (2022)
12 full-time Sage Intacct consultants (and growing)
125 implementations in the last 3 years
10. Robotic Process Automation (RPA) - Definition
Non-electromechanical “Robotics”
or “bots” / software that is
programmed to mimic the
keystrokes humans make in
completing a process.
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11. RPA - Examples
• Employee onboarding
• Password resets
• Account reconciliation
• Compliance reporting
• System integration
• A/P invoice entry
• Claims verification
• EFT or ACH processing
• Rekeying data (“dirty” interface) – no APIs
• Add missing functionality to a system
• One person enters data from multiple systems
• Payroll tax deposits
• Account verification
• Customer service
• Social media review
• Web data collection
• Document management
• Industry reporting
• Chat bots
• Review all files for a certain issue
• Convert unstructured data to structured data
• Manual checking, decisions and calculations
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12. RPA Challenges
Process – Optimizing a sub-optimal process flow
(vs. replacing with more capable applications
and/or process)?
Risk – If poorly implemented or controlled, can
introduce security and/or internal control risk.
Often done at the desktop level, and may escape
proper organizational control and governance.
Zero-sum – Time & efficiency gains offset by
monitoring, security & assurance requirements.
Knowledge loss – will users still understand process
if automated?
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15. Adobe Acrobat
Liquid Mode view –
automatically resizes documents
for mobile devices (page count,
table of content)
Processing done on Adobe’s
Document Cloud servers – for
display only, does not change
original doc.
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16. Salesforce - Einstein
Discovery – discover relevant patterns in
your data.
Prediction Builder - Predict business
outcomes, such as churn or lifetime value.
Create custom AI models on any Salesforce
field or object with clicks, not code.
Next Best Action - Define recommendations,
create action strategies, build predictive
models, display recommendations, and
activate automation.
Bots - build, train, and deploy custom bots
on digital channels that are connected to
your CRM data.
Vision - see the entire conversation about
your brand on social media and beyond.
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17. Ensure accuracy as transactions are recorded into the system
Proactively catch
errors
• Leverage GL
approvals
• Score outliers
using machine
learning
• Call attention to
what requires a
closer look
This combination is unusual – Account,
Department, Location, Amount
Sage Intacct - GL Outlier Detection
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18. MindBridge AI Auditor
100% audit with risk scoring via
advanced AI and Machine Learning
algorithms
Assessed against 28 control points
Identified risk areas include
◦ Monetary flows
◦ Manual entry
◦ Unusual coding
◦ Period over period
◦ Industry
Out of the box integration with leading
ERP systems
20+ standard financial reports & ratios
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19.
20. Definitions
AI (Artificial Intelligence) - ability of computer systems or machines to imitate
human-like intelligence/behavior; Includes the ability to perceive, reason, learn,
and make decisions
◦ Artificial narrow intelligence (ANI)- Focused. Narrow range of abilities
◦ Examples: Smart voice assistants, spam filters, RPA, TV show recommendations….and ChatGPT!
◦ Artificial general intelligence (AGI) - On par with human capabilities. Also called Strong
AI or Deep AI. Mimics human behavior. Includes Common Sense, Background
Knowledge, Transfer Learning, Abstraction & Causality. Not limited to single domain or
tasks.
◦ Artificial superintelligence (ASI) / Singularity - hypothetical point when artificial
intelligence surpasses human intelligence and becomes unstoppable.
AGI & ASI are theoretical, i.e. not yet possible
Many experts are very worried about AGI – Elon Musk warns: “AGI is humanity’s
biggest existential threat. Efforts to bring it about, are like “summoning the
demon.”
21. Definitions (Cont.)
*Generative AI - type of artificial intelligence that uses unstructured deep
learning models to produce content based on user input. Content includes
written materials, images, video, audio and music, and computer code.
LLM (Large Language Model) - a massive database that has been trained on a
vast quantities of data (in the case of ChatGPT, the entire internet through
2021) to produce human-like responses to dialogue or other inputs. LLMs make
use of deep learning models to process, analyze, and make predictions with
complex data. Common data sources include:
◦ Literature
◦ On-line content
◦ News and current affairs
◦ Social media
23. Definitions (Cont.)
RLHF - advanced approach to training AI systems that combines reinforcement
learning with human feedback. It is a way to create a more robust learning
process by incorporating the wisdom and experience of human trainers in the
model training process
Chatbot - (also called AI writer) refers to a type of artificial intelligence-powered
program that is capable of generating written content from a user's input
prompt.
25. Open AI - ChatGPT
Interactive, conversational chatbot
Stands for “Chat Generative Pre-Trained Transformer”
Overnight sensation – over 100M users in under 2 mos.
Conversational – so results can be refined. More detailed questions (prompts) yield
more specific responses.
Cost:
◦ GPT-3.6 – free to the general public (US only)
◦ GPT-4 – $20/mo. Full access to newest version, even during peak times
◦ Business subscription coming (data won’t be used to train models)
Microsoft has pledged more than $10B to OpenAI (49% stake). Native integration
with Edge (Power Bing) and Office (Copilot) applications.
Other OpenAI solutions: Whisper, DALL*E 2, CLIP, Jukebox
https://openai.com
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26. GPT-4
Data through Aug-22
Multi-modal, i.e. works with both text and images.
Example: GPT-4 can describe the content of a photo,
identify trends in a graph, or even generate captions for
images
Fun use case: generate recipe based on pic of what’s in
the refrigerator.
Output up to 25,000 words of text
Complex problem solving
Reduction of biased / inappropriate responses
Aware/responds to emotions expressed in text
Sentient or sense of humor? No, but able to mimic more
convincingly
27.
28. Prompts
Prompt engineering is the process of
designing and optimizing prompts for AI
language models, such as ChatGPT, to
generate high quality responses.
New books and training courses arriving daily
“Prompt Engineers” making $300K?
External marketplaces & repositories already
available – some free, others for a fee. Eg.
◦ Github
◦ PromptBase
◦ Arvin
29. ChatGPT Prompts
According to ChatGPT, the anatomy of a prompt is as follows:
1. Act Instruction – specify role & expertise of AI
2. Context – describe situation, setting, or topic
3. Task or Question - define the specific objective or inquiry the AI is expected to address
4. Constraints or Limitations - set any boundaries or conditions the AI should consider while
generating a response
5. Additional Guidance - provide further instructions, like tone or formatting, to fine-tune the AI's
output
30. ChatGPT Prompts
A more basic approach:
1. Talk like you would a person
2. Set the stage and provide context
3. Tell the AI to assume and identity or profession
4. Keep AI on track (re-direct and/or challenge responses)
31. ChatGPT Prompts
You can add more aspects to ensure more accurate and nuanced
responses:
specify the desired length
request a particular tone of voice
request examples/analogies
incorporate multiple perspectives
cite sources/reference materials
address potential misconceptions/pitfalls
32. ChatGPT Commands
Continue
Elaborate
Summarize
List
Compare & Contrast
Pros and Cons
In Simple/Layman's Terms
Act As
Imagine
Clarify
Step by Step
Brainstorm
Rephrase
Rank
Devil's Advocate
Roleplay
Translate
Retrofit
Critique
Troubleshoot
Analogous
35. ChatGPT API
ChatGPT API is different from ChatGPT plugins. The API brings ChatGPT's
tools to other sites, whereas the ChatGPT plugins take other sites and add
their functionality into ChatGPT.
ChatGPT API uses GPT-4 rather than GPT-3.5, so apps using the ChatGPT
API could be more powerful and have greater functionality than the free
version of ChatGPT
API data usage policy – end user data not used to train underlying LLM
36. Edge & Bing search integration
Visual input & output
Bing search engine in MS Edge
integrated with ChatGPT-4 (newest
LLM), and results better due to use of
“Prometheus Model” (merges search
and chat data)
Saves chat history
Avail for all – no wait list
16% bump in search traffic
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37. Microsoft 365 Copilot
ChatGPT integration with Office suite
Prompts from/to Copilot filtered through
Microsoft Graph
Sample uses include:
◦ Excel – VBA macro coding or data
visualization
◦ Word – first draft to edit and iterate on
◦ PowerPoint – presentations
◦ Outlook – summarize email threads and
respond to emails
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40. Bard
Google announced internal code red in Jan-23;
Bard avail beginning Mar-23
Considered “experimental”
Uses Google’s own LaMDA (Language model for
dialogue applications) model. Moving to PaLM 2
(Pathways Language Model 2)- better w/ math,
logic, security & medical. Trained on over 100
languages. Not multi-modal yet.
Less tech-heavy responses
Scrapes Google search results daily (more up to
date responses)
Integration with Google search – avail??
https://bard.google.com
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41. Google Workspace
AI-powered features avail. to “Trusted Testers”
in Docs and GMail
◦ draft, reply, summarize, and prioritize your Gmail
◦ brainstorm, proofread, write, and rewrite in Docs
◦ bring your creative vision to life with auto-
generated images, audio, and video in Slides
◦ go from raw data to insights and analysis via auto
completion, formula generation, and contextual
categorization in Sheets
◦ generate new backgrounds and capture notes in
Meet
◦ enable workflows for getting things done in Chat
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42. Amazon
Announced series of generative AI services on
April 13th
Hosted on AWS:
◦ Bedrock – API accessible foundation models
◦ CodeWhisperer – AI based coding assistant
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43. Stanford Alpaca AI
Stanford research team started with Meta's open-
source LLaMA 7B language model (the smallest and
cheapest of several LLaMA models available).
Then asked GPT to take 175 human-written
instruction/output pairs, and start generating more
in the same style and format, 20 at a time. This was
automated through one of OpenAI's helpfully
provided APIs. In a short time, team had some
52,000 sample conversations to use in post-training
the LLaMA model. Cost less than US$500.
Then, used that data to fine-tune the LLaMA model –
process took about three hours and cost less than
US$100.
Note: OpenAI says this violates their terms of service,
but fully expect others will do similar
45. Auto-GPT
Open source “recursive AI” application, using GPT-4
Able to carry out more complex, multi-step
procedures than existing LLM-powered applications
by creating its own prompts and feeding them back
to itself, creating a loop.
Breaks larger tasks into smaller sub-tasks. Original
instance acts as “project manager.”
https://autogpt.net
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46. Impact of Generative AI
“More impactful than the printing press”?!
Report from analysts at Goldman Sachs.
◦ Two-thirds of Euro/American jobs are set to change
due to AI automation, and up to a quarter of all
current work will be taken over by AI.
◦ AI could eventually increase annual global GDP by 7%.
80 per cent of the US workforce could have at least 10
per cent of their work tasks affected by GPTs
Knowledge workers most impacted
Staffing shortage relief?
“Fighting against Generative AI is like fighting against
calculators!”
49. Impact of Generative AI
Possible immediate uses by accountants:
◦ Technical research / documentation
◦ Summarize PDFs
◦ Excel formulas, VBA automation, coding
◦ Transaction ledger entry & error detection
◦ Financial analysis and data rendering (charts &
graphs)
◦ Forecasting / predictive analytics
◦ Fraud detection / risk mgmt
◦ Tax compliance
Other significant use-cases
◦ Cybersecurity
50. Generative AI Concerns
Use/Misuse
◦ Can be used for good, or nefarious purposes – cheat on schoolwork, malware/phishing scams,
deepfakes, etc.
◦ Job augmentation vs. replacement?
◦ Proliferating web-sites
Application
◦ Prompts can be difficult to write
◦ Prone to "hallucinations," fabricated responses that sound plausible but are inaccurate. Includes
citing books/articles that actually don’t exist! According to Sam Altman, OpenAI CEO – “It's a
mistake to be relying on it for anything important right now.”
◦ Only as good as the LLM, i.e. limited data set (ChatGPT data thru 2021), bias baked-in, etc.
◦ Copyright considerations – original vs. proprietary content? (demand citations!)
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51.
52. Generative AI Concerns
Environment
◦ Insecure environments – vulnerable to compromised apps/extensions
◦ Risk of exposing confidential data based on additional information fed into chat bots (searchable
by others).
◦ Chat GPT “DAN” mode (“Do Anything Now”) - “jailbroken” versions that allow users to go against
ChatGPT’s guidelines.
Existential threat to humanity!?
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53. Future of Life Institute (FLI)
Non-profit organization that aims to reduce global
catastrophic and existential risks facing humanity,
particularly existential risk from advanced artificial
intelligence (AI)
Recently published open letter, signed by thousands of AI
researchers and concerned others, including Apple
cofounder Steve Wozniak, SpaceX, Tesla and Twitter CEO
Elon Musk; Stability AI CEO Emad Mostaque; Sapiens
author Yuval Noah Harari; and Yoshua Bengio, founder of
AI research institute Mila.
Citing “an out-of-control race to develop and deploy ever
more powerful digital minds that no one — not even
their creators — can understand, predict or reliably
control,” the letter called for a 6-month pause in the
development of anything more powerful than GPT-4
Additional time would allow ethical, regulatory and
safety concerns to be considered and states that
“powerful AI systems should be developed only once we
are confident that their effects will be positive and their
risks will be manageable.
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54.
55. Predictive AI - Definition
Predictive AI
◦ Studies historical data, identifies patterns and makes
predictions about the future that can better inform business
decisions.
◦ Can detect data flow anomalies and extrapolate how they
will play out in the future in terms of results or behavior;
enhance business decisions by identifying a customer’s
purchasing propensity as well as upsell potential; and
improve business outcomes.
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56. Predictive AI vs. Generative AI
Both generative AI and predictive AI use artificial
intelligence algorithms to obtain their results. Key
differences include:
◦ Creativity – generative AI is creative and produces things that
have never existed before. Predictive AI lacks the element of
content creation.
◦ Inferring the future – predictive AI is all about using historical
and current data to spot patterns and extrapolate potential
futures. Generative AI also spots patterns but combines them
into unique new forms.
◦ Different algorithms – generative AI uses complex algorithms
and deep learning to generate new content based on the data it
is trained on. Predictive AI generally relies on statistical
algorithms and machine learning to analyze data and make
predictions.
Bottom line – Generative – more creative, Predictive – more
analytical
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57. What’s Next (already here)?
Use cases
◦ Medicine
◦ Personalized medicine
◦ Disease diagnosis
◦ Drive-thru AI
◦ AI lawyers (verify references!)
Platform
◦ GPT-5
◦ AGI(?)
◦ Avail late 23/early 24
◦ Quantum computing
Other
◦ Humanoid robots
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58. OpenAI Superalignment team
Led by Ilya Sutskever (Chief Scientist & co-founder)
Predict AI with intelligence exceeding that of humans
could arrive within the decade.
Won’t necessarily be benevolent, to researching
ways to control/restrict
Team aims to solve the core technical challenges of
controlling superintelligent AI over the next four
years (currently cant steer or control superintelligent
AI, and stop it from going rogue).
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