PaSSED - IBM Power AI - Addfor

•

1 like•273 views

The document discusses artificial intelligence and its practical applications. It describes Add-For's work in developing AI for video understanding for security, broadcasting, healthcare and manufacturing. Examples are given of applications like vehicle tracking, license plate recognition, object detection and crowd monitoring. The document also discusses using AI for energy management through load forecasting, anomaly detection, efficiency scoring and flexibility modelling. It explains Add-For's methodology of using combinatorial innovation and industrialization to develop AI solutions.

Technology

AI - PRACTICAL APPLICATIONS
Power AI - October 2017
enrico.busto@add-for.com

WE ARE ATTHE END OFTHE BEGINNING
John Kelly SVP - Director of IBM Research

THE 4TH INDUSTRIAL REVOLUTION
add-for.comenrico.busto@add-for.com

WE SELECT THE BESTTECHNOLOGY
FOR OUR CUSTOMERS
Mission
add-for.comenrico.busto@add-for.com

Joint Business Development
Marketing Program
ai.add-for.com
3Years Project
Target: Italian Market
First activity targeted toVideo Applications
AdWords + LinkedIn

COMBINATORIAL INNOVATION
+
INDUSTRIALISATION
Methodology
add-for.comenrico.busto@add-for.com

add-for.comenrico.busto@add-for.com
Artiﬁcial Intelligence
(AGI) Artiﬁcial General Intelligence (Strong AI, Full AI)
(Narrow AI) Narrow Artiﬁcial Intelligence (Weak AI,Applied AI)
Machine Learning
Clustering, Classiﬁcation, Regression
Deep Learning
Image /Video Understanding
Voice Recognition
Reinforcement Learning

Deep Learning - Shift in Paradigm
add-for.comenrico.busto@add-for.com
DATA
SOFTWARE
SOLUTION
DATA
SW MODELTRAINING
SOLUTION
NEW DATA
SOLUTION
INFERENCE

COMBINATORIAL INNOVATION
add-for.comenrico.busto@add-for.com

TRAINING
INDUSTRIALISATION
INFERENCE
add-for.comenrico.busto@add-for.com

AI APPLICATIONS
add-for.comenrico.busto@add-for.com

A.I. Video Understanding
Security & Defence - Broadcasting - Health Care - Manufacturing
add-for.comenrico.busto@add-for.com

VEHICLE AND PEDESTRIANTRACKINGwww.add-for.com/portfolio-item/broadcasting-security

LICENSE PLATE RECOGNITIONwww.add-for.com/portfolio-item/broadcasting-security
License Plate Recognition - Blurred to Protect Privacy
https://youtu.be/l5Hj8WisXbQ

Target Detected
Class: Missile Launcher
Type: MAZ-543 Uragan
MILITARYTARGETS DETECTION AND RECOGNITIONwww.add-for.com/portfolio-item/broadcasting-security

SCENE RETRIEVAL INVIDEO STREAMS
ROSSI Valentino
MARQUEZ Marc
www.add-for.com/portfolio-item/broadcasting-security

OBJECT RECOGNITION - SURVEILLANCE
enrico.busto@add-for.com
www.add-for.com/portfolio-item/broadcasting-security
Objects and Luggage Detection (Security Applications)
https://youtu.be/rkMM6AlIcPM

CROWD MONITORING
www.add-for.com/portfolio-item/broadcasting-security
Crowd Monitoring (Security Applications)
https://youtu.be/4Z31NHkL1qw

PEOPLE RECOGNITION
enrico.busto@add-for.com
www.add-for.com/portfolio-item/broadcasting-security
Face Recognition (Security Applications)
https://youtu.be/HG2HcuHcCrw

TARGETED MARKETING - FACE RECOGNITIONwww.add-for.com/portfolio-item/broadcasting-security
Face Keypoints and Morphological Measures
https://youtu.be/N5LwZE0VRnA

CUSTOMER RESPONSE METRICSwww.add-for.com/portfolio-item/broadcasting-security
Face Detection and Recognition
https://youtu.be/N6lWex6MKUk

A.I. needs many Examples to Learn
We createVirtual Worlds to train A.I. in Super-RealTime
add-for.comenrico.busto@add-for.com

MOST RECENT DEVELOPMENTS - ARTIFICIAL ENVIRONMENTS

PHOTOREALISTICVIRTUAL WORLDS TOTRAIN A.I.

Energy Management
Load Forecast - Anomaly Detection - Reinforcement Learning
www.add-for.com/portfolio-item/energy/

Anomaly Detection
www.add-for.com/portfolio-item/energy/

ANOMALY DETECTOR & LOAD DISAGGREGATOR
SENSOR ANOMALY
REGULAR STAND-BY POWER
REGULAR ILLUMINATION POWER
ANOMALY - VENTILATION LEFT ON AT NIGHT
SHOP OPENING HOURS AUTOMATIC DETECTION (white box)

Efﬁciency Scoring
www.add-for.com/portfolio-item/energy/

A.I. COMPUTE ENERGY SAVING BY OPTIMISATION
HISTORICAL DATA
A.I. OPTIMISED DATA

Flexibility Modelling
www.add-for.com/portfolio-item/energy/

add-for.com
Available Switch-Off time before violating minimum temperature

Reinforcement Learning - Paradigm
add-for.com
AGENT
ACTION
REWARD
ENVIRONMENT

A.I. PLAYS WITHTHE
(VIRTUAL) ENVIRONMENT
TO LEARN

OUR SYSTEM ACTIVE SINCE JUNE 2017 ON SELECTED OVS STORES

it.linkedin.com/in/ebusto
enrico.busto@add-for.com
ThankYou

Durante l’Explore Talks sul tema “Servitization” organizzato da GELLIFY e che si è svolto il 24 maggio 2018 presso Spaces Milano, Valeria Murru - Strategic Designer e Trend Researcher in GELLIFY - ha illustrato il cambio di paradigma che stanno affrontando oggi le organizzazioni e che vede il passaggio da aziende di prodotto a "Company as a service". Valeria Murru ha concluso il proprio speech con la presentazione del modello di servitization di GELLIFY.

APIs as Enabler For Platform-Based Business Models - ARSConf

Carsten Sensler

Promocrat Success Stories

Alex Gavril

Promocrat Success Stories

Alex Gavril

Releasing the Force of Computerization Video Age with artificial intelligence...

mzb247365

The blog series, "Investigating the Force of Video Age simulated intelligence," takes perusers on a thorough excursion through the extraordinary effect of man-made reasoning on happy creation. From a prologue to the ascent of artificial intelligence in different ventures and its true capacity in video age, to a profound plunge into the functions, benefits, and uses of Video Age artificial intelligence, the series covers assorted viewpoints. It highlights contextual analyses featuring fruitful executions, addresses difficulties and moral contemplations, and investigates functional strides for coordinating computer based intelligence into work processes. The series closes by offering bits of knowledge into future patterns and advancements, stressing the unique cooperation between human imagination and computer based intelligence proficiency in reshaping the scene of visual narrating.

Industrie 4.0 - Come i servizi IoT e Big Data di AWS rendono smart il Manufac...

Amazon Web Services

The value of Service Design has been recognized by major companies: Large, previously non-design and non-digital organizations are struggling to integrate Design culturally and methodically to come up with successful digital innovation processes. Us, Klaus from Aperto and Carlo from IBM iX, shared IBMs own efforts to implement a design program, talked about the methodology IBM has developed to help large organisations transform to be more design driven and also adressed challenges these projects sometimes have. After the talk, we had a very productive workshop session with the audience to find out about their own experiences with these challenges and the remedies they found for them.

Human artificial-intelligences-combining-the-best-of-the-two-worlds

Capgemini

dmexco 2014 Speakers Corner - SEO for International and Multilingual Websites...

Siwen Zhang

More and more international operating companies are facing the challenge to manage websites in numerous countries and languages simultaneously. The main goal of successful global search engine optimization is to rank the right website version in the various search engines of the world for your international audience. This panel shows the most important factors to set your geo-targeting right. What is the right domain strategy? How do I deal with the global languages, which are spoken in several countries, or multilingual countries? How to avoid duplicate content? What about other search engines besides Google? This session provides solutions to these and many other questions regarding international SEO.

Finding The Right Product

Little Miss Robot

Build Intelligent Apps Using AI Services

Amazon Web Services

Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we will share how to build the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.Automating the provisioning, configuration and deployment of complex applications requires some design choices on top of AWS services. This presentation discusses how to implement modularity, reliability and security into continuous delivery pipelines ("DevSecOps"). Learn how to automate application delivery using AWS CloudFormation and other tools from Amazon Web Services.

AWS Executive Insight Event – Frankfurt: January 25 – 26, 2017

Amazon Web Services

Fearlessly Adopting AI Tools

D'nelle Dowis

D’nelle Dowis, founder of Berry Interesting Productions, shares the transformative power of ChatGPT in streamlining business operations and enhancing productivity. Her agency has been leveraging AI technology - specifically, generative AI / large language model tools like ChatGPT - to improve efficiency and enhance creativity for their content marketing efforts. Find out how they did it - and get tips on how to get started using AI tools in your own business - in this half-narrative, half-advice driven presentation. First presented at the NGLCC 2023 Conference in Denver, CO on 8/16/2023 Useful links: Timelapse from Slide 8: https://drive.google.com/file/d/1cEp2U924pwZIPcZZazLi2SF_5lnjCHrW/view?usp=sharing Completed blog post written with the assistance of ChatGPT: https://web.berry-interesting.com/shop-talk/get-started-with-a-password-manager/ Recommended Coursera course: https://www.coursera.org/learn/prompt-engineering/ Visit Berry Interesting's website: https://berry-interesting.com/ Check out our blog post on this topic: https://web.berry-interesting.com/shop-talk/ai-intern-expedite-business-processes

Pitch littlesea

Francesco Piccolomini Bandini

IBM Watson & Virtual/Augmented Reality

Vincent Perrin

First to Market, World's First App Fully Powered by Google's New AI Technolog...

DulalChandraMondal

AdvertAI Review: What is AdvertAi? World's First App Fully Powered by Google's New AI Technology - Adanet & TensorFlow, Crafting Real-Time AI Ads Instantly. Advert AI generates Ad Copies, Ad Creatives, Advertisement Visuals, and Videos. "AdvertAi" being the "World's First App Fully Powered by Google's New AI Technology - Adanet & TensorFlow, Crafting Real-Time AI Ads Instantly." It's possible that this is a development that has occurred after my last update or it could be a product or service that hasn't gained significant visibility up until that point. "This app's capabilities are truly unbelievable! With just a handful of voice commands, I transformed my concepts into captivating Ad Copies and Stunning Ad images and videos. The AI technology it employs is undeniably remarkable, substantially reducing the time and energy I invest."-Henry J.

Creating an omni-channel path

FITCH

Turbocharge your business with AI and Machine Learning | AWS Summit Tel Aviv ...

Amazon Web Services

SKL208 - Turbocharge your Business with AI and Machine Learning - Tel Aviv Su...

Boaz Ziniman

I.m creative ppt

IMCAdmin

CWIN17 Rome / The software-ag digital business platform.v3

Capgemini

[DSC Adria 23] Tarry Singh Building High dencity startup.pdf

DataScienceConferenc1

Shift AI 2020: Building AI-first Products - Ehsan Yousefzadeh (AIG Investments)

Shift Conference

Shift AI was a success, connecting hundreds of professionals that were eager to propel the progress of AI and discuss the newest technologies in data mining, machine learning and neural networks. More at https://ai.shiftconf.co/. Talk description: With rapid advancements in AI research, new breakthroughs lead to new product opportunities. In this presentation, I will discuss the AI product development process, along with the challenges and rewards that come with it. I’ll also discuss the various degrees of AI products, the teams needed to build them, and what it takes to be a great AI-first product manager.

Fixing the Broken Process

AIIM International

Do you seek to overcome inefficiencies caused by manual indexing, manual classification and inadequate search? Then please join Joe Budelli and Ben Vierck from KnowledgeLake in this open forum focusing on how SharePoint can deliver reliable and compliant content management. They’ll debate the potential of a new generation of automated indexing, classification and intelligent search technologies. And any contributions you wish to make are welcome!

“IT Technology Trends in 2017… and Beyond”

diannepatricia

IBM Prague ai - real life experiences in engaging customers and do business...

Enrico Busto

20181210 Super Resolution

Enrico Busto

Similar to PaSSED - IBM Power AI - Addfor

Sample identity and web rfp

Shannon Latta

Service Design and Change in Corporate Contexts - Service Experience Camp 2016

Klaus Rüggenmann

Human artificial-intelligences-combining-the-best-of-the-two-worlds

Capgemini

dmexco 2014 Speakers Corner - SEO for International and Multilingual Websites...

Siwen Zhang

Finding The Right Product

Little Miss Robot

Build Intelligent Apps Using AI Services

Amazon Web Services

AWS Executive Insight Event – Frankfurt: January 25 – 26, 2017

Amazon Web Services

Fearlessly Adopting AI Tools

D'nelle Dowis

Pitch littlesea

Francesco Piccolomini Bandini

IBM Watson & Virtual/Augmented Reality

Vincent Perrin

First to Market, World's First App Fully Powered by Google's New AI Technolog...

DulalChandraMondal

Creating an omni-channel path

FITCH

Turbocharge your business with AI and Machine Learning | AWS Summit Tel Aviv ...

Amazon Web Services

SKL208 - Turbocharge your Business with AI and Machine Learning - Tel Aviv Su...

Boaz Ziniman

I.m creative ppt

IMCAdmin

CWIN17 Rome / The software-ag digital business platform.v3

Capgemini

[DSC Adria 23] Tarry Singh Building High dencity startup.pdf

DataScienceConferenc1

Shift AI 2020: Building AI-first Products - Ehsan Yousefzadeh (AIG Investments)

Shift Conference

Fixing the Broken Process

AIIM International

“IT Technology Trends in 2017… and Beyond”

diannepatricia

Similar to PaSSED - IBM Power AI - Addfor (20)

Sample identity and web rfp

Service Design and Change in Corporate Contexts - Service Experience Camp 2016

Human artificial-intelligences-combining-the-best-of-the-two-worlds

dmexco 2014 Speakers Corner - SEO for International and Multilingual Websites...

Finding The Right Product

Build Intelligent Apps Using AI Services

AWS Executive Insight Event – Frankfurt: January 25 – 26, 2017

Fearlessly Adopting AI Tools

Pitch littlesea

IBM Watson & Virtual/Augmented Reality

First to Market, World's First App Fully Powered by Google's New AI Technolog...

Creating an omni-channel path

Turbocharge your business with AI and Machine Learning | AWS Summit Tel Aviv ...

SKL208 - Turbocharge your Business with AI and Machine Learning - Tel Aviv Su...

I.m creative ppt

CWIN17 Rome / The software-ag digital business platform.v3

[DSC Adria 23] Tarry Singh Building High dencity startup.pdf

Shift AI 2020: Building AI-first Products - Ehsan Yousefzadeh (AIG Investments)

Fixing the Broken Process

“IT Technology Trends in 2017… and Beyond”

More from Enrico Busto

IBM Prague ai - real life experiences in engaging customers and do business...

Enrico Busto

20181210 Super Resolution

Enrico Busto

Master's Thesis - inverse reinforcement learning for autonomous driving

Enrico Busto

Reinforcement Learning [1] (RL) is an emerging field of Artificial Intelligence (AI) that is giving extraordinary results in different applications. One of such applications is Autonomous Driving, but to apply RL to this task an accurate choice of the reward function is needed.To overcome this issue, one solution is to infer the reward function applying Machine Learning (ML) techniques to some examples provided by experts. For example, a driver can show how to do a specific maneuver and a ML algorithm extract the objective function maximized by the driver behaviour.This method is known as Inverse Reinforcement Learning [2] (IRL). The thesis will deepen the theory behind inverse reinforcement learning to analyze the possible applications of this approach to autonomous driving [3] in a simulated environment [4, 5, 6].

Master's Thesis - deep genomics: harnessing the power of deep neural networks...

Enrico Busto

The human genome project [1], an international scientific research project with the goal of determining the sequence of nucleotide base pairs that make up human DNA, lasted roughly 15 years and cost $5 billion (adjusted for inflation). With the recent advances in genome sequencing technology, that cost has now reduced to a few hundreds dollars [2] and can be done overnight. Being able to access this kind of information may have a deep impact on the way complex diseases are treated: physicians will shift from general-purpose treatments to specific ones, tailored on the individual patient’s genomic features.This approach is referred to as precision medicine. There are however several caveats: first of all, due to the nature of the problem, knowledge of both the biomedical and the computer science domain are required in order to correctly approach it; second, unlike more classical scenarios such as image classification or object detection, it is much more difficult to determine the accuracy of the system due to the complex and multifactorial nature of complex diseases such as cancer and neurodegenerative diseases. Moreover, a black box kind of solution is unlikely to be of any use, due to legal and ethical reasons: interpretability of the model is crucial more than ever. The goal of this thesis is to explore the possibilities and the limits of techniques based on deep neural networks for the analysis of biomolecular data, experimenting with publicly available datasets.

Master's Thesis - comparison of reinforcement learning frameworks

Enrico Busto

Reinforcement Learning (RL) is a class of machine learning algorithms in which an agent interacts by trial-and-error in an environment. RL in conjunction with Deep Learning has obtained outstanding results in Atari video games, the Go board-game and a more complex environment like StarCraft II. Recently many open source RL frameworks has been released by software companies in order to easily train and test new RL algorithms. The goal of the thesis is to benchmark the most promising RL frameworks, to study the new algorithms proposed and to evaluate their performance on research environments.

Master's degree thesis testing algorithms for image & video understanding

Enrico Busto

In the last few years, many algorithms with remarkable effectiveness for Object Detection have been published but still some comparative metrics haven’t been defined. The difficulties in making this comparison arise from the fact that different algorithms are based on different Feature Extractors (VGGs, Residual Networks, etc.), different base resolution and different implementation on specific platforms.

20180509 energy - v001

Enrico Busto

Why join the navy - Addfor prsentation

Enrico Busto

Meetup IBM Rome October 24th 2018

Enrico Busto

Ai business innovator v001

Enrico Busto

Imaging automotive 2015 addfor v002

Enrico Busto

NVIDIA DGX-1 Community-Based Benchmark

Enrico Busto

ARTIFICIAL INTELLIGENCE AT WORK

Enrico Busto

Performance Traction Control (PTC)

Enrico Busto

The Performance Traction Control is an algorithm developed by Addfor to maximize the vehicle performance in every driving condition giving the vehicle the maximum available acceleration in exiting turns. For any product details or customer specific questions our highly specialized team of Data Scientists and Engineers are available to answer you questions. For more information visit: www.add-for.com

SideSlip Angle Estimator (SSE)

Enrico Busto

The SideSlip Angle Estimator is an algorithm developed by Addfor to estimate the Drifting Angle of a Vehicle. The SideSlip also known as “Beta” or “Drifting” angle is the angle between the longitudinal axis of the vehicle and its speed direction. This angle cannot be measured with standard sensors but is very important for the modern Traction Control Systems. Addfor has developed an high performance estimator based on the Deep Learning technology that outperforms the commonly known Kalman filtering approach. For more information visit: www.add-for.com

Wiki stage 20151128 - v001

Enrico Busto

Automotive Virtual Sensors - Motorsport Applications

Enrico Busto

Imaging automotive 2015 addfor v002

Enrico Busto

We develop custom Image Recognition systems for Aerospace and defence applications. Using algorithms like Deep Convolutional Neural Networks and Regional Convolutional Neural Networks. Our algorithms for Target Recognition and Tracking are designed from the beginning to be run on embedded systems. We target both GPU and FPGA devices. To Train and Validate our algorithms we developed a process to generate photorealistic 3D environments. Those 3D Environments are used to produce realistic video streams of the targets in different environmental conditions (lighting, adverse meteorological conditions, camouflage, point-of-view). The same technology can be used to Train and Test Automotive Vision Systems.

More from Enrico Busto (18)

IBM Prague ai - real life experiences in engaging customers and do business...

20181210 Super Resolution

Master's Thesis - inverse reinforcement learning for autonomous driving

Master's Thesis - deep genomics: harnessing the power of deep neural networks...

Master's Thesis - comparison of reinforcement learning frameworks

Master's degree thesis testing algorithms for image & video understanding

20180509 energy - v001

Why join the navy - Addfor prsentation

Meetup IBM Rome October 24th 2018

Ai business innovator v001

Imaging automotive 2015 addfor v002

NVIDIA DGX-1 Community-Based Benchmark

ARTIFICIAL INTELLIGENCE AT WORK

Performance Traction Control (PTC)

SideSlip Angle Estimator (SSE)

Wiki stage 20151128 - v001

Automotive Virtual Sensors - Motorsport Applications

Imaging automotive 2015 addfor v002

Recently uploaded

Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...

James Anderson

Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management. The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM). Speakers: Bob Boule Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle. Gopinath Rebala Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

DanBrown980551

Do you want to learn how to model and simulate an electrical network from scratch in under an hour? Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)! During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook. PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides: - A fully editable and extendable library for grid component modelling; - Visualization tools to display your network; - Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses; The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well. What you will learn during the webinar: - For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills; - For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.

Microsoft - Power Platform_G.Aspiotis.pdf

Uni Systems S.M.S.A.

Removing Uninteresting Bytes in Software Fuzzing

Aftab Hussain

Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process. In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds. - These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.

UiPath Test Automation using UiPath Test Suite series, part 6

DianaGray10

Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI. UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities. Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes. What will you get from this session? 1. Insights into integrating generative AI. 2. Understanding how this integration enhances test automation within the UiPath platform 3. Practical demonstrations 4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath Topics covered: What is generative AI Test Automation with generative AI and Open AI. UiPath integration with generative AI Speaker: Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP

Communications Mining Series - Zero to Hero - Session 1

DianaGray10

This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered: • Communication Mining Overview • Why is it important? • How can it help today’s business and the benefits • Phases in Communication Mining • Demo on Platform overview • Q/A

Elizabeth Buie - Older adults: Are we really designing for our future selves?

Nexer Digital

National Security Agency - NSA mobile device best practices

Quotidiano Piemontese

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.

Pushing the limits of ePRTC: 100ns holdover for 100 days

Adtran

GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...

Neo4j

Leonard Jayamohan, Partner & Generative AI Lead, Deloitte This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.

Building RAG with self-deployed Milvus vector database and Snowpark Container...

Zilliz

20240609 QFM020 Irresponsible AI Reading List May 2024

Matthew Sinclair

Full-RAG: A modern architecture for hyper-personalization

Zilliz

Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.

Large Language Model (LLM) and it’s Geospatial Applications

Rohit Gautam

Monitoring Java Application Security with JDK Tools and JFR Events

Ana-Maria Mihalceanu

Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf

Paige 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:

Essentials of Automations: The Art of Triggers and Actions in FME

Safe Software

In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation. We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios. Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!

Mind map of terminologies used in context of Generative AI

Kumud Singh

zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs

Alex Pruden

This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second). Paper: https://eprint.iacr.org/2023/1886

Recently uploaded (20)

Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

Microsoft - Power Platform_G.Aspiotis.pdf

Removing Uninteresting Bytes in Software Fuzzing

UiPath Test Automation using UiPath Test Suite series, part 6

Communications Mining Series - Zero to Hero - Session 1

Elizabeth Buie - Older adults: Are we really designing for our future selves?

National Security Agency - NSA mobile device best practices

Securing your Kubernetes cluster_ a step-by-step guide to success !

Pushing the limits of ePRTC: 100ns holdover for 100 days

GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...

Building RAG with self-deployed Milvus vector database and Snowpark Container...

20240609 QFM020 Irresponsible AI Reading List May 2024

Full-RAG: A modern architecture for hyper-personalization

Large Language Model (LLM) and it’s Geospatial Applications

Monitoring Java Application Security with JDK Tools and JFR Events

Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf

Essentials of Automations: The Art of Triggers and Actions in FME

Mind map of terminologies used in context of Generative AI

zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs

PaSSED - IBM Power AI - Addfor

1. AI - PRACTICAL APPLICATIONS Power AI - October 2017 enrico.busto@add-for.com

2. WE ARE ATTHE END OFTHE BEGINNING John Kelly SVP - Director of IBM Research

3. THE 4TH INDUSTRIAL REVOLUTION add-for.comenrico.busto@add-for.com

4. add-for.comenrico.busto@add-for.com

5. WE SELECT THE BESTTECHNOLOGY FOR OUR CUSTOMERS Mission add-for.comenrico.busto@add-for.com

7. Joint Business Development Marketing Program ai.add-for.com 3Years Project Target: Italian Market First activity targeted toVideo Applications AdWords + LinkedIn

8. COMBINATORIAL INNOVATION + INDUSTRIALISATION Methodology add-for.comenrico.busto@add-for.com

9. add-for.comenrico.busto@add-for.com Artificial Intelligence (AGI) Artificial General Intelligence (Strong AI, Full AI) (Narrow AI) Narrow Artificial Intelligence (Weak AI,Applied AI) Machine Learning Clustering, Classification, Regression Deep Learning Image /Video Understanding Voice Recognition Reinforcement Learning

10. Deep Learning - Shift in Paradigm add-for.comenrico.busto@add-for.com DATA SOFTWARE SOLUTION DATA SW MODELTRAINING SOLUTION NEW DATA SOLUTION INFERENCE

11. COMBINATORIAL INNOVATION add-for.comenrico.busto@add-for.com

12. TRAINING INDUSTRIALISATION INFERENCE add-for.comenrico.busto@add-for.com

13. AI APPLICATIONS add-for.comenrico.busto@add-for.com

14. A.I. Video Understanding Security & Defence - Broadcasting - Health Care - Manufacturing add-for.comenrico.busto@add-for.com

15. VEHICLE AND PEDESTRIANTRACKINGwww.add-for.com/portfolio-item/broadcasting-security

16. LICENSE PLATE RECOGNITIONwww.add-for.com/portfolio-item/broadcasting-security License Plate Recognition - Blurred to Protect Privacy https://youtu.be/l5Hj8WisXbQ

17. Target Detected Class: Missile Launcher Type: MAZ-543 Uragan MILITARYTARGETS DETECTION AND RECOGNITIONwww.add-for.com/portfolio-item/broadcasting-security

18. SCENE RETRIEVAL INVIDEO STREAMS ROSSI Valentino MARQUEZ Marc www.add-for.com/portfolio-item/broadcasting-security

19. OBJECT RECOGNITION - SURVEILLANCE enrico.busto@add-for.com www.add-for.com/portfolio-item/broadcasting-security Objects and Luggage Detection (Security Applications) https://youtu.be/rkMM6AlIcPM

20. CROWD MONITORING www.add-for.com/portfolio-item/broadcasting-security Crowd Monitoring (Security Applications) https://youtu.be/4Z31NHkL1qw

21. PEOPLE RECOGNITION enrico.busto@add-for.com www.add-for.com/portfolio-item/broadcasting-security Face Recognition (Security Applications) https://youtu.be/HG2HcuHcCrw

22. TARGETED MARKETING - FACE RECOGNITIONwww.add-for.com/portfolio-item/broadcasting-security Face Keypoints and Morphological Measures https://youtu.be/N5LwZE0VRnA

23. CUSTOMER RESPONSE METRICSwww.add-for.com/portfolio-item/broadcasting-security Face Detection and Recognition https://youtu.be/N6lWex6MKUk

24. MULTISPECTRAL IMAGERY

25. A.I. needs many Examples to Learn We createVirtual Worlds to train A.I. in Super-RealTime add-for.comenrico.busto@add-for.com

26. MOST RECENT DEVELOPMENTS - ARTIFICIAL ENVIRONMENTS

27. PHOTOREALISTICVIRTUAL WORLDS TOTRAIN A.I.

28. WE CAN SIMULATE URBANTHREADS

29. Energy Management Load Forecast - Anomaly Detection - Reinforcement Learning www.add-for.com/portfolio-item/energy/

30. Anomaly Detection www.add-for.com/portfolio-item/energy/

31. ANOMALY DETECTOR & LOAD DISAGGREGATOR SENSOR ANOMALY REGULAR STAND-BY POWER REGULAR ILLUMINATION POWER ANOMALY - VENTILATION LEFT ON AT NIGHT SHOP OPENING HOURS AUTOMATIC DETECTION (white box)

32. Efﬁciency Scoring www.add-for.com/portfolio-item/energy/

33.

34. A.I. COMPUTE ENERGY SAVING BY OPTIMISATION HISTORICAL DATA A.I. OPTIMISED DATA

35. Flexibility Modelling www.add-for.com/portfolio-item/energy/

36. add-for.com Available Switch-Off time before violating minimum temperature

37. REINFORCEMENT LEARNING

38. PROVEN SUCCESSFUL IN MANY APPLICATIONS

39. Reinforcement Learning - Paradigm add-for.com AGENT ACTION REWARD ENVIRONMENT

40. A.I. PLAYS WITHTHE (VIRTUAL) ENVIRONMENT TO LEARN

41. WE “STOLE”THE IDEA FROM

42. OUR SYSTEM ACTIVE SINCE JUNE 2017 ON SELECTED OVS STORES

43. it.linkedin.com/in/ebusto enrico.busto@add-for.com ThankYou