Presentation given at the Analytics Frontier in Charlotte on March 21. The presentation covers the opportunities and risks of AI and how consumers, businesses, society, and governments can mitigate these risks.
Overview of artificial intelligence, its definition and classification, its history and historical development, as well as several theories and concepts.
The Internet of things describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
Overview of artificial intelligence, its definition and classification, its history and historical development, as well as several theories and concepts.
The Internet of things describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
Edge Computing: An Extension to Cloud ComputingRamneek Kalra
This presentation was shared by Shally Gupta (PhD Research Scholar | IEEE Graduate Member) & Ramneek Kalra (IEEE Impact Creator) at IEEE MRU Student Branch, Faridabad, Haryana, India.
Presenting this set of slides with name - Artificial Intelligence Overview Powerpoint Presentation Slides. This complete deck is oriented to make sure you do not lag in your presentations. Our creatively crafted slides come with apt research and planning. This exclusive deck with thirtyseven slides is here to help you to strategize, plan, analyse, or segment the topic with clear understanding and apprehension. Utilize ready to use presentation slides on Artificial Intelligence Overview Powerpoint Presentation Slides with all sorts of editable templates, charts and graphs, overviews, analysis templates. It is usable for marking important decisions and covering critical issues. Display and present all possible kinds of underlying nuances, progress factors for an all inclusive presentation for the teams. This presentation deck can be used by all professionals, managers, individuals, internal external teams involved in any company organization.
“AI techniques in cyber-security applications”. Flammini lnu susec19Francesco Flammini
▪ “AI techniques in cyber-security applications”. Invited speech at “Sunetdagarna våren 2019” (conference of the association of Swedish universities), April 1-4 2019, Växjö, Sweden.
- Problems with traditional data centers.
- Cloud computing definition, deployment, and services models.
- Essential characteristics of cloud services.
- IaaS examples.
- PaaS examples.
- SaaS examples.
- Cloud enabling technologies such as grid computing, utility computing, service oriented architecture (SOA), The Internet, Multi-tenancy, Web 2.0, Automation and Virtualization.
I was invited to present a talk on "Artificial Intelligence for Cyber Security" for #GirlsInAIHack2021 by #TeenInAIFiji. It was my honor to be there and share my words with the participants and I wish all the participants the best wishes.
Girls from 25 counties aged 12-18 had participated in this Hackathon. They were using Hot Technologies like AI and ML to fight world problems to make good. The event was started on #InternationalWomensDay2021. Total of 1000 participations
500+ Mentors & Organizers
120+ International Speakers were part of it
You can watch it here - https://youtu.be/rhWyt68yuI0
If you want to invite me for a webinar or conference connect
mail: hello@priyanshuratnakar.com or priyanshuratnakar@protonmail.com
You can use the slides but give credit somewhere
In this presentation, Venkatesh introduces IoT and associated trends. His interest area lies in analytics of data obtained through sensors. Some of his ideas include predicting mean sea level based on Oxygen levels, Intelligent transport systems etc.
Data Con LA 2020
Description
More and more organizations are embracing AI technology by infusing it in their products and services to to differentiate themselves against their competitors. AI is being utilized in some sensitive areas of human life. In this session let's look at some of principles governing adoption of AI in a responsible manner. Why companies are accelerating adoption of AI?
Increasingly organization are accelerating adoption of AI to differentiate their product and services in the market. Outcomes of this digital transformation that we have seen in the areas of optimizing operations, engaging customers, empowering employees and transforming their products and services.
*List some of the sensitive use cases where AI is being applied
*Why governing AI is important and what are those principles?
*How Microsoft is approaching it?
Speaker
Suresh Paulraj, Microsoft, Principal Cloud Solution Architect Data & AI
Overview of Artificial Intelligence in CybersecurityOlivier Busolini
If you are interested in understsanding a bit more the potential of Artifical Intelligence in Cybersecurity, you might want to have a look at this overview.
Written from my CISO -and non AI expert- point of view, for fellow security professional to navigate the AI hype, and (hopefully!) make better, informed decisions :-)
All feedback welcome !
Multisoft Virtual Academy offers IoT courses that are tailored by industry experts to impart in-depth knowledge of concepts such as IoT framework, IoT ecosystem, IoT solution architecture, networking protocols and application layer protocols. According to Glassdoor, the average salary for trained and certified IoT professionals is around $1, 50,000 per year. At Multisoft, certified experts make sure that participants understand the core of IoT while developing IoT solutions using sensors and components integration and implementing IoT in Big Data, and also understand the utilization of extracted data. IoT certification online training is crafted to provide participants with a career boost and teach them how technology has affected the world and will continue to do so in the coming years. https://www.multisoftvirtualacademy.com/iot/
Edge IoT is a technology Witekio believes in. It is now reaching an inflexion point. The need for responsiveness, local computing capacity (especially for data crunching, AI and machine learning), security, IoT bandwidth makes this«trend » relevant to face B2B and industrial challenges.
Use of Artificial Intelligence in Cyber Security - Avantika UniversityAvantika University
There are many uses of artificial intelligence in cyber security. Although artificial intelligence has so many advantages over human intelligence, it is dependent on humans. Due to the ever-increasing demand for engineers, there is a bright scope in the field of cyber security. Avantika University is one of the top engineering colleges in India.
To know more details, visit us at : https://www.avantikauniversity.edu.in/engineering-colleges/use-of-artificial-intelligence-in-cyber-security.php
Algorithmic Bias: Challenges and Opportunities for AI in HealthcareGregory Nelson
Gregory S. Nelson, VP, Analytics and Strategy – Vidant Health | Adjunct Faculty Duke University
The promise of AI is quickly becoming a reality for a number of industries including healthcare. For example, we have seen early successes in the augmenting clinical intelligence for diagnostic imaging and in early detection of pneumonia and sepsis. But what happens when the algorithms are biased? In this presentation, we will outline a framework for AI governance and discuss ways in which we can address algorithmic bias in machine learning.
Objective 1: Illustrate the issues of bias in AI through examples specific to healthcare.
Objective 2: Summarize the growing body of work in the legal, regulatory, and ethical oversight of AI models and the implications for healthcare.
Objective 3: Outline steps that we can take to establish an AI governance strategy for our organizations.
With the increasingly connected world revolving around the revolution of internet and new technologies like mobiles, smartphones, and tablets, and with the wide usage of wireless technologies, the information security risks have increased. Both individuals and organizations are under regular attacks for commercial or non-commercial gains. The objectives of such attacks may be to take revenge, malign the reputation of a competitor organization, understand the strategies and sensitive information about the competitor, simply have fun of exploiting the vulnerabilities. Hence, the need to protect information assets and ensure information security receives adequate attention.
In this session, I will discuss how AI and Machine Learning can be applied in detecting, predicting and preventing cyber security/information security vulnerabilities and what are the benefits of using Machine Learning and AI. We also touch upon some of the tools available to perform the same.
This presentation was given at the OECD Network of AI Specialists (ONE) held in Paris on February 26 and 27. It was presented at the joint session of ONE and the Digital Council. It covers some of the key trends and developments in AI including operationalizing AI, responsible AI and National AI Strategies
Edge Computing: An Extension to Cloud ComputingRamneek Kalra
This presentation was shared by Shally Gupta (PhD Research Scholar | IEEE Graduate Member) & Ramneek Kalra (IEEE Impact Creator) at IEEE MRU Student Branch, Faridabad, Haryana, India.
Presenting this set of slides with name - Artificial Intelligence Overview Powerpoint Presentation Slides. This complete deck is oriented to make sure you do not lag in your presentations. Our creatively crafted slides come with apt research and planning. This exclusive deck with thirtyseven slides is here to help you to strategize, plan, analyse, or segment the topic with clear understanding and apprehension. Utilize ready to use presentation slides on Artificial Intelligence Overview Powerpoint Presentation Slides with all sorts of editable templates, charts and graphs, overviews, analysis templates. It is usable for marking important decisions and covering critical issues. Display and present all possible kinds of underlying nuances, progress factors for an all inclusive presentation for the teams. This presentation deck can be used by all professionals, managers, individuals, internal external teams involved in any company organization.
“AI techniques in cyber-security applications”. Flammini lnu susec19Francesco Flammini
▪ “AI techniques in cyber-security applications”. Invited speech at “Sunetdagarna våren 2019” (conference of the association of Swedish universities), April 1-4 2019, Växjö, Sweden.
- Problems with traditional data centers.
- Cloud computing definition, deployment, and services models.
- Essential characteristics of cloud services.
- IaaS examples.
- PaaS examples.
- SaaS examples.
- Cloud enabling technologies such as grid computing, utility computing, service oriented architecture (SOA), The Internet, Multi-tenancy, Web 2.0, Automation and Virtualization.
I was invited to present a talk on "Artificial Intelligence for Cyber Security" for #GirlsInAIHack2021 by #TeenInAIFiji. It was my honor to be there and share my words with the participants and I wish all the participants the best wishes.
Girls from 25 counties aged 12-18 had participated in this Hackathon. They were using Hot Technologies like AI and ML to fight world problems to make good. The event was started on #InternationalWomensDay2021. Total of 1000 participations
500+ Mentors & Organizers
120+ International Speakers were part of it
You can watch it here - https://youtu.be/rhWyt68yuI0
If you want to invite me for a webinar or conference connect
mail: hello@priyanshuratnakar.com or priyanshuratnakar@protonmail.com
You can use the slides but give credit somewhere
In this presentation, Venkatesh introduces IoT and associated trends. His interest area lies in analytics of data obtained through sensors. Some of his ideas include predicting mean sea level based on Oxygen levels, Intelligent transport systems etc.
Data Con LA 2020
Description
More and more organizations are embracing AI technology by infusing it in their products and services to to differentiate themselves against their competitors. AI is being utilized in some sensitive areas of human life. In this session let's look at some of principles governing adoption of AI in a responsible manner. Why companies are accelerating adoption of AI?
Increasingly organization are accelerating adoption of AI to differentiate their product and services in the market. Outcomes of this digital transformation that we have seen in the areas of optimizing operations, engaging customers, empowering employees and transforming their products and services.
*List some of the sensitive use cases where AI is being applied
*Why governing AI is important and what are those principles?
*How Microsoft is approaching it?
Speaker
Suresh Paulraj, Microsoft, Principal Cloud Solution Architect Data & AI
Overview of Artificial Intelligence in CybersecurityOlivier Busolini
If you are interested in understsanding a bit more the potential of Artifical Intelligence in Cybersecurity, you might want to have a look at this overview.
Written from my CISO -and non AI expert- point of view, for fellow security professional to navigate the AI hype, and (hopefully!) make better, informed decisions :-)
All feedback welcome !
Multisoft Virtual Academy offers IoT courses that are tailored by industry experts to impart in-depth knowledge of concepts such as IoT framework, IoT ecosystem, IoT solution architecture, networking protocols and application layer protocols. According to Glassdoor, the average salary for trained and certified IoT professionals is around $1, 50,000 per year. At Multisoft, certified experts make sure that participants understand the core of IoT while developing IoT solutions using sensors and components integration and implementing IoT in Big Data, and also understand the utilization of extracted data. IoT certification online training is crafted to provide participants with a career boost and teach them how technology has affected the world and will continue to do so in the coming years. https://www.multisoftvirtualacademy.com/iot/
Edge IoT is a technology Witekio believes in. It is now reaching an inflexion point. The need for responsiveness, local computing capacity (especially for data crunching, AI and machine learning), security, IoT bandwidth makes this«trend » relevant to face B2B and industrial challenges.
Use of Artificial Intelligence in Cyber Security - Avantika UniversityAvantika University
There are many uses of artificial intelligence in cyber security. Although artificial intelligence has so many advantages over human intelligence, it is dependent on humans. Due to the ever-increasing demand for engineers, there is a bright scope in the field of cyber security. Avantika University is one of the top engineering colleges in India.
To know more details, visit us at : https://www.avantikauniversity.edu.in/engineering-colleges/use-of-artificial-intelligence-in-cyber-security.php
Algorithmic Bias: Challenges and Opportunities for AI in HealthcareGregory Nelson
Gregory S. Nelson, VP, Analytics and Strategy – Vidant Health | Adjunct Faculty Duke University
The promise of AI is quickly becoming a reality for a number of industries including healthcare. For example, we have seen early successes in the augmenting clinical intelligence for diagnostic imaging and in early detection of pneumonia and sepsis. But what happens when the algorithms are biased? In this presentation, we will outline a framework for AI governance and discuss ways in which we can address algorithmic bias in machine learning.
Objective 1: Illustrate the issues of bias in AI through examples specific to healthcare.
Objective 2: Summarize the growing body of work in the legal, regulatory, and ethical oversight of AI models and the implications for healthcare.
Objective 3: Outline steps that we can take to establish an AI governance strategy for our organizations.
With the increasingly connected world revolving around the revolution of internet and new technologies like mobiles, smartphones, and tablets, and with the wide usage of wireless technologies, the information security risks have increased. Both individuals and organizations are under regular attacks for commercial or non-commercial gains. The objectives of such attacks may be to take revenge, malign the reputation of a competitor organization, understand the strategies and sensitive information about the competitor, simply have fun of exploiting the vulnerabilities. Hence, the need to protect information assets and ensure information security receives adequate attention.
In this session, I will discuss how AI and Machine Learning can be applied in detecting, predicting and preventing cyber security/information security vulnerabilities and what are the benefits of using Machine Learning and AI. We also touch upon some of the tools available to perform the same.
This presentation was given at the OECD Network of AI Specialists (ONE) held in Paris on February 26 and 27. It was presented at the joint session of ONE and the Digital Council. It covers some of the key trends and developments in AI including operationalizing AI, responsible AI and National AI Strategies
Decision Point AI, plan around what will happen instead of what has happened?Karl Smith
Presentation pack for Decision Point AI, Europe and USA. Focus, will the government approve a merger? and
will the combined M&A firms deliver good value?
Imagine a future, in five to ten years time, where organisations have advanced, from today’s handful of AI proof of concepts and pilot projects, to that future where AI is fully embedded throughout the organisation.
What will the new operating models look like? How will humans and machines interact?
How should the COO prepare for this future?
What will be the role of the COO and what skills will be needed?
I offer some potential answers to these questions and propose some practical actions that the COO can take now.
From the conference Future Tech in Insurance at Forsikringsakademiet, nov 15 2016. Defining cognitive and how that is relevant for insurance companies.
Intro to Artificial Intelligence w/ Target's Director of PMProduct School
Given that Machine Learning (ML) is on every product enthusiast’s mind, this talk gave a broad view of the investment landscape for future innovation. Director of Product Management at Target, Aarthi Srinivasan, talked about macro AI themes & trends, how you can build your AI team and how to create a ML backed product vision.
Additionally, this talk armed the attendees with enough information to create your Point of View (POV) on how to incorporate AI into your business.
Applying AI & Search in Europe - featuring 451 ResearchLucidworks
In the current climate, it’s now more important than ever to digitally enable your workforce and customers.
Hear from Simon Taylor, VP Global Partners & Alliances, Lucidworks and Matt Aslett, Research Vice President, 451 Research to get the inside scoop on how industry leaders in Europe are developing and executing their digital transformation strategies.
In this webinar, we’ll discuss:
The top challenges and aspirations European business and technology leaders are solving using AI and search technology
Which search and AI use cases are making the biggest impact in industries such as finance, healthcare, retail and energy in Europe
What technology buyers should look for when evaluating AI and search solutions
Productionising Machine Learning to automate the enterprise. Conference research question: How can you pin-point which core business processes to transform with increased automation and streamline daily workflows to boost in house efficiencies?
AI in Insurance: How to Automate Insurance Claim Processing with Machine Lear...Skyl.ai
About the webinar
Insurance companies are looking at technology to solve complexity created by presence of cumbersome processes and presence of multiple entities like actuaries, support team and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
What you'll learn
- How Insurance companies are using ML to drive more efficiency and business gain
- Best practices to automate machine learning models
- Demo: A deeper understanding of the end-to-end machine learning workflow for car damage recognition using Skyl.ai
Machine learning is all around us. It is driving familiar B2C brands like Amazon and Google. And it is now driving our Quote-to-Cash process. Learn how to streamline and run a global sales operations organization leveraging machine learning to increase sales efficiency and to increase margins and revenue.
Ai in insurance how to automate insurance claim processing with machine lear...Skyl.ai
Explore more at https://skyl.ai/form?p=start-trial
About the webinar
Insurance companies are looking at technology to solve complexity created by the presence of cumbersome processes and the presence of multiple entities like actuaries, support team and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
Transforming Business with Cognitive APIs: What Innovative Business Strategie...IBM Watson
Watch the on-demand replay of the webcast here: https://www.youtube.com/watch?v=hIN1RjxOFTk
AI, machine learning and over 50 technologies behind Watson cognitive computing are ushering in a new era of technology that will reshape our human-computer interactions in business and in science. Join this Executive Webcast Series to hear insights, guidance and vision from some of our Watson leaders on Why, What and How cognitive APIs are being applied for business value and transformation.
In this episode, gain insight from an exec in the industry on WHAT innovative business strategies are facilitated with cognitive APIs.
Trusted, Transparent and Fair AI using Open SourceAnimesh Singh
Fairness, robustness, and explainability in AI are some of the key cornerstones of trustworthy AI. Through its open source projects, IBM and IBM Research bring together the developer, data science and research community to accelerate the pace of innovation and instrument trust into AI.
Accelerate Business Growth and Outcomes with AICognizant
Here’s how 10 organizations are using AI to accelerate decision making, improve processes, enhance user engagement, reduce costs and drive business performance.
At its simplest form, artificial intelligence is a field, which combines computer science and robust datasets, to enable problem-solving. It also encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence.
Functionalities in AI Applications and Use Cases (OECD)AnandSRao1962
This presentation was given at the OECD Network of AI Specialists (ONE) held in Paris on February 26 and 27. It covers the methodology for assessing AI use cases by technology, value chain, use, business impact, business value, and effort required.
Gamifying Strategy - Enterprise AI use cases on agent-based simulation and re...AnandSRao1962
This talk was presented at the 2018 O'Reilly AI conference in New York. It highlights how advances in AI gaming technology can be used to solve strategic problems in business. It combines agent-based modeling with reinforcement learning to solve strategic problems in financial services and mobility as a service sectors.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
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.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
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.
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.
How world-class product teams are winning in the AI era by CEO and Founder, P...
Responsible AI
1. PwC AI Lab | 1
Responsible AI – Role of Consumers,
Businesses, and Governments
Dr. Anand S. Rao
Global Artificial Intelligence Lead
2. PwC AI Lab | 2
Today’s discussion
Enterprise AI Through Four
Lenses
Enterprise AI Case Studies
Risks of AI
01
02
03
Responsible AI04
3. PwC AI Lab | 3
01
Enterprise AI Through
Four Lenses
4. PwC AI Lab | 4
AI as Sense-Think-Act
Sense
Artificial Intelligence is
becoming ubiquitous
intelligence with the ability to
see, hear, speak, smell, feel,
understand gestures, interface
with your brain, and dream
Think
AI is helping us do tasks faster,
better and cheaper – Automated
Intelligence; helping us make
better decisions – Assisted &
Augmented Intelligence, or even
taking over what we do –
Autonomous Intelligence
Act
Artificial Intelligence is
equaling or surpassing
humans in a number of other
tasks – playing games, driving
cars, recommendations
(movies, books, finance,
research), etc.
5. PwC AI Lab | 5
Statistics Econometrics Optimization
Complexity
Theory
Computer
Science
Game
Theory
FOUNDATION
LAYER
Sense Think Act
• Robotic process
automation
• Deep question &
answering
• Machine translation
• Collaborative systems
• Adaptive systems
• Knowledge &
representation
• Planning &
scheduling
• Reasoning
• Machine Learning
• Deep Learning
• Natural language
• Audio & speech
• Machine vision
• Navigation
• Visualization
AI that can sense… AI that can think… AI that can act…
Hear
See
Speak
Feel
Understand Perceive
PlanAssist
Physical
Creative
Cognitive
Reactive
More Formally…
6. PwC AI Lab | 6
Business Lens
Metrics & Value Chain
Intelligence Lens
Automated, Assisted,
Augmented & Autonomous
Data Lens
Structured vs Unstructured
Available vs Augmented
Technology Lens
Techniques, Tools & Platforms
Four Lenses of Artificial Intelligence
7. PwC AI Lab | 7
Business Lens: Metrics & Value Chain
Operations & Development
Product
Development
Service &
Support
Operations
Outbound Logistics
Sales &
Distribution
Customers &
Marketing
Strategy &
Growth
Supply Chain &
Procurement
Finance, HR,
Planning
Inbound Logistics
How will we ensure our
product supply is meeting
demand?
VP, Supply Chain
How can we engage with our
customers to enhance their
experience?
Director, Marketing
How can we grow our market
share and which markets to
enter, exit or expand?
Director, Strategy
How do we innovate and
introduce new products and
services?
Director, Products
How do we increase customer
satisfaction and retain more
customers?
Director, Service
How can we reach more
customers and price our
products to increase sales?
Director, Sales
How can we increase
efficiency and effectiveness of
our operations?
Director, Operations
How can we get a better
return on our talent, capital,
and assets?
Director, Finance & HR
• Market Share
• Customer Experience
• Acquisition Rate
• Innovation Rate
• Operational Efficiency
• Customer Satisfaction
• Talent Retention
• Inventory Turn
Over 300+ AI Use Cases Across 8 Sectors – Sizing the Prize
8. PwC AI Lab | 8
Intelligence Lens: Four Types of Enterprise AI
No human in the loopHuman in the loop
Hardwired /
specific
systems
Adaptive
systems
Automated Intelligence
1
Assisted Intelligence
2
Augmented Intelligence
3
Autonomous Intelligence
4
+
9. PwC AI Lab | 9
Data Lens: Four Types of Data
Structured
AvailableAugmented
Unstructured
10. PwC AI Lab | 10
What is Artificial Intelligence?
Artificial Intelligence can be defined as the theory and development of systems that can continuously sense its environment, think,
make decisions, and take actions that influence the environment to achieve its goals.
Technology Lens: AI Techniques
Machine
Vision
Natural
Language
Audio &
Speech
Navigation Visualization
SENSORY
LAYER
Knowledge
Representation
Reasoning
Planning &
Scheduling
Machine
Learning
Deep
Learning
COGNITIVE
LAYER
Robotic
Process
Automation
Deep
Question &
Answering
Machine
Translation
Collaborative
Systems
Adaptive
Systems
BEHAVIORAL
LAYER
Statistics Econometrics Optimization
Complexity
Theory
Computer
Science
Game
Theory
FOUNDATIONAL
LAYER
12. PwC AI Lab | 12
Case 1:
Global
Pharmaceutical
Case 2:
Construction
Company
Case 3:
Automotive
Manufacturer
Case 4:
Digital
Advisor
13. PwC AI Lab | 13
Global Pharmaceuticals
Extracting adverse drug
interaction from clinician
notes, social media, and
medical literature to
enhance productivity and
effectiveness (96%
accuracy)
14. PwC AI Lab | 14
Adverse Event Pipeline using NLP Toolkit
15. PwC AI Lab | 15
Deep Learning of Latent Relationships
Word2Vec
is able to
show the
relationship
between
Sneezing
and Anti-
histamine.
17. PwC AI Lab | 17
Digital Advisor
Gamification of Strategy
resulted in the
development of a digital
advisor that simulates
household level (128
million) financial data
into the future to enhance
financial wellness
PwC AI Lab | 17
18. PwC AI Lab | 18
$ecure is a digital advice and financial wellness toolkit, that enables a
differentiated digital advice experience for customers in a cost-efficient manner
01
02
03
Synthetic dataset of 1.28M U.S.
households with 4000+ data points
Personalized customer
experience by life stage
Agent-based model to
project household finances
01
02
03
“Households Like You”
benchmarking for consumer
education/data augmentation
Holistic retirement planning
using advanced scenario
analysis
Intuitive planning tools and
what-if analysis that demystify
the planning process
Core Components Key Differentiators
19. PwC AI Lab | 19
Key Differentiator #1: “Households Like Yours” matching to enable
benchmarking/data augmentation
Client’s Name
* Illustrative
John Doe Smith
Household Zip Code 75220
Gender Male
Marital Status Married
# Dependents 2
Annual Base Income
Total Assets
Tell us a little about yourself …
We’ll benchmark you against peer households …
$1,650 $1,750
$765
$650
$885
$1,100
Your Household Households Like
Yours
Household Balance Sheet ($
‘000)
Total Assets Liabilities Net Worth
$365 $350
$220
$165$145
$185
Your Household Households Like Yours
Household Income Statement ($
‘000)
Income Expenses Surplus/Deficit
… and help you augment missing/incomplete data
Co-Client’s Name Mary Jo Smith
Co-Client’s Age 45
Age 47
Co-Client’s Annual Base Income i
Households
Like Yours:
$175K - $195K
PwC Synthetic
Dataset
“Households Like You” estimates increase in accuracy as more data points become available
20. PwC AI Lab | 20
Key Differentiator #2: Retirement Planning Evolved - Holistic cross-silo perspective
on current and future assets and liabilities with advanced scenario analysis
20
Rather than having to monitor
multiple metrics, users only track
fundedness, which takes stock
of current and future assets and
liabilities
Others: Incomplete retirement readiness representation
vs.
Picture source: Betterment.com
Limited guidance on how much
to save, due to absence of the
liabilities side of the equation
Basic scenario analysis focused
primarily on asset growth across
multiple economic environments
* Illustrative
0%
20%
40%
60%
80%
100%
120%
140%
47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65
Fundedness(%) Age – Head Of Household (J. Smith)
Projected Fundedness To Retirement
Pessimistic Expected
Emergency
Healthcare
(Client)
College Tuition
(Elder Child)
Constraine
d
OverfundedUnderfunded
Long-Term Care
(Spouse)
In addition to macroeconomic factors, $ecure features sophisticated
scenario analysis that captures significant life events as well
$ecure: Holistic retirement readiness monitoring
21. PwC AI Lab | 21
PwC’s Digital Services
Six success factors to derive maximum benefits from
artificial intelligence
Start from business
decisions
01
Demonstrate value
through pilots before
scaling
02
Blend intuition and
data-driven insights
03
Address ‘big data’ –
don’t forget ‘lean’ data
04
Fail forward –
test and learn culture
05
Focus on Responsible
AI from the start
06
23. PwC AI Lab | 23
Risks of AI
“The automation of factories has
already decimated jobs in
traditional manufacturing, and the
rise of artificial intelligence is likely
to extend this job destruction deep
into the middle classes, with only
the most caring, creative or
supervisory roles remaining.” —
Stephen Hawking
“I’m increasingly inclined to think
that there should be some
regulatory oversight, maybe
at the national and international
level, just to make sure that we
don’t do something
very foolish.” — Elon Musk
24. PwC AI Lab | 24
Recent Fatality from a autonomous vehicle
It happened at 10 p.m. in Tempe, Arizona, where ride-hailing company Uber had been picking up
passengers in autonomous vehicles for more than a year. Elaine Herzberg, 49, was walking her bicycle
down a four-lane road and was starting to cross when the gray Volvo, operated by Uber, hit her at
about 40 mph, according to local police.
25. PwC AI Lab | 25
Control
Risk of AI going ‘rogue’
Inability to control
malevolent AI
Swarm drones
Performance
Risk of Errors
Risk of Bias
Risk of Opaqueness
Risk of stability of
performance
Lack of feedback process
Security
Cyber intrusion risks
Privacy risks
Open source software risks
Digital, Physical, Political
security
Robust AI: Performance, security and control risks
26. PwC AI Lab | 26
Software Risks: Bias Risk – How can we avoid data bias in
recommendations?
COMPAS, a system
used by US Judges
to forecast which
criminals are likely
to reoffend was
biased. It concluded
that almost “blacks
are almost twice as
likely as whites to be
labeled a higher risk
but not actually re-
offend.”
COMPAS
27. PwC AI Lab | 27
Security Risks: Cyber Intrusion risk– How can we prevent
‘cyber’ intrusion of automated or electronic vehicles?
After hackers Charlie
Miller and Chris Valasek
hacked the Jeep Cherokee
and stopped the car off
the highway, Chrysler
issued a 1.4 million
vehicle recall and mailed
USB drives with software
updates to affected
drivers.
Simulated ‘Cyber Intrusion’
28. PwC AI Lab | 28
Control Risks: ‘Rogue’ risk– How can we ensure that an AI
designed with benevolent intent does not go ‘rogue’?
Tay, a Microsoft
chatbot, released to
interact with the
public began
tweeting racist and
inflammatory
remarks in under 24
hours and had to be
decommissioned.
Tay Chatbot
29. PwC AI Lab | 29
Societal
Risk of Autonomous
Weapons proliferation
Risk of ‘intelligence divide’
Ethical
‘Lack of Values’ risk
Value Alignment risk
Goal Alignment risk
Economic
Job displacement risks
‘Winner-takes-all’
concentration of power risk
Liability risk
Beneficial AI: Ethical, economic, and societal risks
30. PwC AI Lab | 30
Ethical Risks – How can a autonomous vehicle learn the
’value’ of human life?
Should the AV continue and
(definitely) kill one pedestrian
who is disobeying the law?
Or should the AV swerve and
(potentially) kill two pedestrians
who are obeying the law?
MIT’s Moral Machine
MIT’s Moral
Machine allows
users to select
scenarios to
understand
human ethics to
determine what
the ‘machine
ethics’ should be
31. PwC AI Lab | 31
Economic Risks – How can we manage job losses due to
automation from becoming a major economic issue?
Automation Job Losses
A number of studies
are predicting job
losses, up to 50% or
more, from automation
in different sectors in
different geographies.
32. PwC AI Lab | 32
Societal Risks – How can we ban the proliferation of
autonomous weapons designed to ‘kill’?
Autonom0us Weapons Proliferation
Source: Why we should really ban Autonomous Weapons,
Stuart Russell, Max Tegmark, and Toby Walsh, August 3,
IEEE Spectrum, 2015
34. PwC AI Lab | 34
Responsible Artificial Intelligence
We define Responsible Artificial Intelligence, as the combination of building Robust AI systems that
will engender ‘trust’ in today’s AI system as well as work towards the development of AI that will be beneficial
to society today and in the future.
Robust Artificial Intelligence, is
concerned with the verification,
validation, security and control of AI
systems
Beneficial Artificial Intelligence,
is concerned with maximizing the
social benefit of AI
• Reduce or eliminate software risks
• Reduce or eliminate security risks
• Reduce or eliminate control risks
• Reduce or eliminate economic risks
• Reduce or eliminate societal risks
• Reduce or eliminate ethical risks
35. PwC New Services | 35
Robust Artificial Intelligence
• Verification: Modular agent-based architectures; verifiable
substrates of operating systems and platforms; adaptive
control theory; and deep learning theory
• Validation: Computational models of ethical reasoning; goal
stability; reasoning under uncertainty; and bounded
rationality
• Security: Software, hardware, and psychological
containment; tripwires – detection and response; detecting
intent to deceive.
• Control: Corrigibility and domesticity; safe and unsafe agent
architectures.
Research Priorities
Robust Artificial Intelligence, is concerned with the verification, validation, security and control of AI
systems
1. Define business use case criticality and vulnerability
2. Select interpretability requirements in terms of
explainability, transparency, and provability
3. Design and build models while performing business,
performance, and acceptance trade-offs
4. Monitor ongoing model performance and governance
Business Implications
Verification
Did I build the system right?
• How to prove that a system
satisfies certain desired formal
properties?
Validation
Did I build the right system?
• How to ensure that a system that
meets its formal requirements does
not have unwanted behaviors and
consequences?
Security
How do I secure the system?
• How to prevent intentional
manipulation by unauthorized
parties?
Control
How do I control the system?
• How to enable meaningful human
control over an AI system after it
begins to operate?
• Determine critical and vulnerable sectors (e.g.,
autonomous vehicles, healthcare systems, safety critical
infrastructure, airspace) that require explicit regulations
• Facilitate industry, research, and government discussions
on Robust AI
Regulatory Implications
36. PwC AI Lab | 36
Our Robust AI framework helps businesses design, build, and
deploy AI systems that can be ‘trusted’
PwC’s Robust AI Framework
AI
Tradeoffs
Monitoring of data for model training to
ensure data does not skew model
performance
Determining artificial intelligence
algorithm accuracy as required by
business use case
Ensuring algorithm decisions are
explainable to end user in such a way the
user trusts the predictions for the given
use case
Determining the appropriate scope and
system requirements for an artificial
intelligence application
Identification of potential threats that
may undermine or shift algorithm
decision making
Requiring artificial intelligence
algorithms to function reliably and
predictably
37. PwC AI Lab | 37
Explainable AI to improve customer experience
Source: Gunning, DARPA I/2O, 2017
38. PwC AI Lab | 38
National AI Strategies
USA
Unmanned Aircraft Systems (UAS) (Oct 2017)
Big Data: A Report on Algorithmic Systems,
Opportunity, and Civil Rights (May 2016)
AI, Automation, and the Economy (Dec 2016)
Preparing for the Future of Artificial Intelligence (Oct
2016)
China
Next generation AI Development Plan (July 2017)
with key focus areas and key guarantee measures
addressing the Science & Technology as well as
regulations and competitive policies
United Kingdom
Growing the Artificial Intelligence Industry in the
UK (October 2017): Recommendations to
o Improve access to data
o Maximize UK AI Research
o Improve supply of skills
o Support uptake of AI
Germany
Ethics Commission: Automated and Connected
Driving (June 2017)
Japan
Artificial Intelligence Technology Strategy (March
2017)
New Robot Strategy (February 2015)
39. PwC New Services | 39
Beneficial Artificial Intelligence
• Economic Modeling of AI Adoption: Automation and AI
impact - whom, when, and by how much; valuing knowledge
and insights
• Ethics research: Value alignment, AI rights, autonomous
weapon systems ban and/or control
• Wealth redistribution: Universal Basic Income and
alternative policy assessment and experimentation
Research Priorities
Beneficial Artificial Intelligence, is concerned with maximizing the social benefit of Artificial
Intelligence
Business Implications
Economic Issues
How do we estimate benefits?
• How do we calculate the economic
impact of automation and AI?
Social Issues
How do we share benefits?
• What social policies (e.g., universal
basic income) to distribute the
wealth generated by automation
and AI?
Legal Issues
What rules & regulations do we
need?
• What laws do we need to pass to
protect people, life, and property?
Ethical Issues
How do we ensure the AI is
used for social good?
• What values should autonomous
systems have and who decides the
values?
• Liabilities and Laws for Autonomous systems:
Autonomous car liability; drone air space regulations;
road traffic rules
• Policy Formulation: Taxation, education, social
security, energy and transportation, competition, privacy,
cyber , autonomous weapons etc.
Regulatory Implications
• Future of Work: Impact assessment of automation and AI;
change management; training and re-skilling workforce;
creation of new roles; community participation
• Non-Profit Groups: Making the case for policy changes at
the national (e.g., drone rules) and international levels (e.g.,
autonomous weapons ban)
40. PwC AI Lab | 40
Reskilling
• Workforce reskilling
• Digital fitness
• University education
Key Elements of AI Strategy
Basic AI R&D
• Moonshot projects
• University funding
• Business incentives
Business Protection
• Local companies
• Specific industry sectors
• Algorithmic governance
Specialized AI Tech.
• Drones
• Autonomous vehicles
• Service robots
Consumer Protection
• Data security
• Income security
• Digital anonymity
Ethics
• Citizen monitoring
• Autonomous weapons
• Beneficial use of AI