My participation at Cloud Skills Challenge with the knowledge acquired when studying the AI modules at Discover AI challenge and a solution developed to detect facemasks in videos.
15 Aralık 2016, Mef Üniversitesi Büyük Veri Analitiği yüksek lisans dersinde konuk konuşmacı olarak anlattığım IoT ve Data konusu. Microsoft'un bu konulardaki vizyonu, lokal örnekler ve başarılı kullanım senaryolarını konuştuğumuz slaytlar ekteki gibidir.
https://twitter.com/ikivanc
Introduction to Microsoft Cognitive Services for a presentation at the Global AI Bootcamp.
Describes the current products and APIs available on Microsoft Cognitive Services.
My participation at Cloud Skills Challenge with the knowledge acquired when studying the AI modules at Discover AI challenge and a solution developed to detect facemasks in videos.
15 Aralık 2016, Mef Üniversitesi Büyük Veri Analitiği yüksek lisans dersinde konuk konuşmacı olarak anlattığım IoT ve Data konusu. Microsoft'un bu konulardaki vizyonu, lokal örnekler ve başarılı kullanım senaryolarını konuştuğumuz slaytlar ekteki gibidir.
https://twitter.com/ikivanc
Introduction to Microsoft Cognitive Services for a presentation at the Global AI Bootcamp.
Describes the current products and APIs available on Microsoft Cognitive Services.
GDG DevFest Istanbul - Mobile DevOps - Build, Test and Deploy Your Android Ap...İbrahim KIVANÇ
DevOps is a new trend and there are amazing tools for Mobile too! In this session we'll explore Mobile DevOps tools to make our live easy.
Learn more about how HockeyApp and Visual Studio Team Services help Xamarin developers deliver high-quality, modern apps for Android, iOS, and Windows. Automate your build pipeline, run unit and integration tests, and control the release management. Ship updates to your customers almost instantly with our continuous delivery process and understand how your apps are used - and crash, then fix those crashes and track progress with new monitoring and analytics capabilities
http://twitter.com/ikivanc
Create an image classifier with azure custom vision net sdkLuis Beltran
Azure Custom Vision allows you to build an image classifier that adjusts to your needs without needing an AI/ML background.
In this session we will learn about Custom Vision and how you can train an image classifier model using its .NET SDK. A published model can then be exported to a variety of formats, such as TensorFlow and CoreML, which can perfectly be integrated into Android & iOS mobile apps with object recognition capabilities.
In this session, the Custom Vision service will be explored and demonstrated with: a) a trained model using the COIL-100 image dataset and the Custom Vision .NET SDK. b) A mobile image classifier app which makes use of the model in a) in both online and offline scenarios
Windows 10 IoT Core - Inovasyon Haftasi - TİMİbrahim KIVANÇ
https://twitter.com/ikivanc
http://blog.microsoft.com.tr/?p=28641
Windows 10 IoT Core
Geçtiğimiz günlerde Raspberry Pi 2 ve MinnowBoard Max için Windows 10 IoT Core sürümünü büyük bir heyecanla kullanıma sunduk. Sürüme genel bir bakış atıyoruz.
Tüm dünyada olduğu gibi Türkiye’den de pek çok firma, Windows 10 IoT Core sürümünü test ederek kendi ekosistemlerinde kullanmak için çalışmalara başladı. Windows 10 IoT Core temelinde küçük ve gömülü sistemleri, ekranlı veya ekransız kullanımlı cihazları hedefleyen kompakt bir Windows sürümü. Windows 10 IoT Core sayesinde çok daha küçük cihazlarda da Windows 10 ‘u çalıştırabiliyoruz.
Nerelerde kullanılır?
Önümüzdeki günlerde ATM’lerde, kiosk’larda, otomatik satış makinelerinde, akıllı ev sistemlerinde ve günlük hayatta pek çok noktada bu cihazları görmemiz muhtemel.
Teknik detaylar
Windows 10 IoT Core sürümü konusundaki bilgileri ve örnek referans projeleri Windows IoT Geliştirme Merkezi’nde bulabilirsiniz. Kullanmak istediğiniz devre kartını seçerek, gerekli geliştirme araçlarını indirebilir ve istediğiniz uygulamaları geliştirmeye başlayabilirsiniz.
Windows 10 IoT Core’u kullanarak uygulama geliştirmek için Windows 10 son sürümü (10240 ve sonrası sürümler) ve Visual Studio 2015’i indirmeniz yeterli. Uygulama geliştirmek için tek yapmanız gereken IoT cihazınız ve geliştirme yaptınız bilgisayarın aynı ağ bağlantısında bulunması yeterli. Cihaz üzerindeki Windows’larda alışık olduğumuz Windows arayüzü bulunmadığı için uygulama geliştirdiğiniz PC’nizden bu cihazları yönetebilirsiniz. Windows 10 PC/Tablet ve telefon için geliştirdiğiniz Universal Windows Platform uygulamalarınızda istediğiniz takdirde farklı arayüzler tanımlayabilirsiniz.
Son sürümü çıkar çıkmaz ben de Raspberry Pi 2 cihazımda Window 10 IoT Core’u test ederek ilk uygulamalarımı geliştirdim, ilk deneyimlerim ise aşağıdaki şekilde oldu:
◦Öncelikle sensörlerle haberleşebilmek için temel elektronik devreler bilgilerinizin olması gerekmekte.
◦Daha öncesinde .NET, C# ve XAML ile uygulama geliştirme deneyimiz varsa çok rahat bir şekilde IoT çözümler geliştirebildiğinizi görebilirsiniz.
◦Windows 10 için özel geliştirdiğiniz Universal Windows Platform uygulamalarınızı direkt olarak IoT cihazlarınızın üzerine yükleyebilmek gerçekten güzel bir deneyim. Burada dikkat edilmesi gereken nokta kullanım senaryosundaki uyumluluk ve arayüzün (eğer ekran kullanacaksanız) buna uyumlu olarak çalışması.
◦Bulut tarafında Windows IoT Core ile Azure servislerine çok rahat bir şekilde bağlarak, tıpkı Windows mağaza uygulamalarınızda olduğu gibi arkasında Azure olan çözümler geliştirebilirsiniz.
◦Visual Studio ve PowerShell aracılığıyla cihaza kolay bir şekilde uygulamanızı yükleyebilir ve cihaz yönetim/konfigurasyonu yapabiliyorsunuz.
Sonraki yazılarımızda bunlara detaylı bir şekilde eğileceğiz.
Daha fazla detaylı bilgi için resmi blog yazısını okuyabilirsiniz.
http://blog.microsoft.com.tr/?p=28641
Kitura enables both mobile front-end and back-end portions of an application to be written in the same language, simplifying modern application development
A light-weight web framework written in Swift, that allows you to build web services with complex routes, easily
Leverages the strengths of Swift (like type safety) along with concurrency support from Grand Central Dispatch
IBM MobileFirst Platform is a mobile development platform that provides development and deploy options both on the cloud (Bluemix) and on-premise (installed locally). MFP enables you to build, enhance, and continuously deliver mobile apps efficiently and effectively.
IBM MobileFirst for iOS apps, built under the Apple and IBM partnership, leverage Swift and the move to open source to make the Swift programming language even more valuable.
Swift breaks down the barriers between client-side and server-side development, increasing speed and efficiency while taking advantage of growing Swift skills.
IBM brings Swift to the cloud. Swift is a powerful language for modern apps. Extending Swift's client-side benefits to the server simplifies end-to-end development.
The IBM Swift Sandbox enables developers to write and run Swift code from the browser. We’ve added interactive features like sharing and snapshotting. We’re introducing Kitura, a new open web framework and a Swift package catalog. Whether you’re writing your first lines of code, or an experienced Swift user testing on Linux, join us to bring Swift to the cloud.
Applying a Developer-Centric Approach to API Design from API Architect Ronnie...CA API Management
Designing an API from scratch can be a daunting task, but focusing on developer experience (DX) can act as a guiding light for API designers. In this session, we will explore the topic of interaction design and how it is changing the way we design web APIs today.
One option in the extensibility universe of SAP is the side-by-side extensibility. Usually, this is seen in close relation to the SAP Cloud Platform. In this talk, I want to show a small prototype on how to leverage the capabilities of the Microsoft Azure in combination with an SAP Business Suite backend to achieve a side-by-side extension. This is accompanied by a short introduction of the serverless paradigm used in the prototype. To grow some desire for making your hands dirty with Azure function as the central part of the prototype I will show how easy it is to set up Azure functions locally.
Choosing the Right Mobile Development Platform (Part 6)Chris Griffith
As more and more projects are requiring mobile applications, developers are faced with a wide range of options. AIR for mobile? PhoneGap? Titanium's Appcelerator? Sencha? Native? Which development environment makes sense? This session will explore the advantages and limitations of each of these environments from someone who has been in the mobile application development world for over 4 years. Get a clear picture of what these technologies can offer for your mobile development needs.
Getting started with microsoft cognitive services apiJasjit Chopra
This presentation is a part of meetup that happened on June 17 2017 in Chandigarh. We covered the options for developers to get started with MS Cognitive Services API.
GDG DevFest Istanbul - Mobile DevOps - Build, Test and Deploy Your Android Ap...İbrahim KIVANÇ
DevOps is a new trend and there are amazing tools for Mobile too! In this session we'll explore Mobile DevOps tools to make our live easy.
Learn more about how HockeyApp and Visual Studio Team Services help Xamarin developers deliver high-quality, modern apps for Android, iOS, and Windows. Automate your build pipeline, run unit and integration tests, and control the release management. Ship updates to your customers almost instantly with our continuous delivery process and understand how your apps are used - and crash, then fix those crashes and track progress with new monitoring and analytics capabilities
http://twitter.com/ikivanc
Create an image classifier with azure custom vision net sdkLuis Beltran
Azure Custom Vision allows you to build an image classifier that adjusts to your needs without needing an AI/ML background.
In this session we will learn about Custom Vision and how you can train an image classifier model using its .NET SDK. A published model can then be exported to a variety of formats, such as TensorFlow and CoreML, which can perfectly be integrated into Android & iOS mobile apps with object recognition capabilities.
In this session, the Custom Vision service will be explored and demonstrated with: a) a trained model using the COIL-100 image dataset and the Custom Vision .NET SDK. b) A mobile image classifier app which makes use of the model in a) in both online and offline scenarios
Windows 10 IoT Core - Inovasyon Haftasi - TİMİbrahim KIVANÇ
https://twitter.com/ikivanc
http://blog.microsoft.com.tr/?p=28641
Windows 10 IoT Core
Geçtiğimiz günlerde Raspberry Pi 2 ve MinnowBoard Max için Windows 10 IoT Core sürümünü büyük bir heyecanla kullanıma sunduk. Sürüme genel bir bakış atıyoruz.
Tüm dünyada olduğu gibi Türkiye’den de pek çok firma, Windows 10 IoT Core sürümünü test ederek kendi ekosistemlerinde kullanmak için çalışmalara başladı. Windows 10 IoT Core temelinde küçük ve gömülü sistemleri, ekranlı veya ekransız kullanımlı cihazları hedefleyen kompakt bir Windows sürümü. Windows 10 IoT Core sayesinde çok daha küçük cihazlarda da Windows 10 ‘u çalıştırabiliyoruz.
Nerelerde kullanılır?
Önümüzdeki günlerde ATM’lerde, kiosk’larda, otomatik satış makinelerinde, akıllı ev sistemlerinde ve günlük hayatta pek çok noktada bu cihazları görmemiz muhtemel.
Teknik detaylar
Windows 10 IoT Core sürümü konusundaki bilgileri ve örnek referans projeleri Windows IoT Geliştirme Merkezi’nde bulabilirsiniz. Kullanmak istediğiniz devre kartını seçerek, gerekli geliştirme araçlarını indirebilir ve istediğiniz uygulamaları geliştirmeye başlayabilirsiniz.
Windows 10 IoT Core’u kullanarak uygulama geliştirmek için Windows 10 son sürümü (10240 ve sonrası sürümler) ve Visual Studio 2015’i indirmeniz yeterli. Uygulama geliştirmek için tek yapmanız gereken IoT cihazınız ve geliştirme yaptınız bilgisayarın aynı ağ bağlantısında bulunması yeterli. Cihaz üzerindeki Windows’larda alışık olduğumuz Windows arayüzü bulunmadığı için uygulama geliştirdiğiniz PC’nizden bu cihazları yönetebilirsiniz. Windows 10 PC/Tablet ve telefon için geliştirdiğiniz Universal Windows Platform uygulamalarınızda istediğiniz takdirde farklı arayüzler tanımlayabilirsiniz.
Son sürümü çıkar çıkmaz ben de Raspberry Pi 2 cihazımda Window 10 IoT Core’u test ederek ilk uygulamalarımı geliştirdim, ilk deneyimlerim ise aşağıdaki şekilde oldu:
◦Öncelikle sensörlerle haberleşebilmek için temel elektronik devreler bilgilerinizin olması gerekmekte.
◦Daha öncesinde .NET, C# ve XAML ile uygulama geliştirme deneyimiz varsa çok rahat bir şekilde IoT çözümler geliştirebildiğinizi görebilirsiniz.
◦Windows 10 için özel geliştirdiğiniz Universal Windows Platform uygulamalarınızı direkt olarak IoT cihazlarınızın üzerine yükleyebilmek gerçekten güzel bir deneyim. Burada dikkat edilmesi gereken nokta kullanım senaryosundaki uyumluluk ve arayüzün (eğer ekran kullanacaksanız) buna uyumlu olarak çalışması.
◦Bulut tarafında Windows IoT Core ile Azure servislerine çok rahat bir şekilde bağlarak, tıpkı Windows mağaza uygulamalarınızda olduğu gibi arkasında Azure olan çözümler geliştirebilirsiniz.
◦Visual Studio ve PowerShell aracılığıyla cihaza kolay bir şekilde uygulamanızı yükleyebilir ve cihaz yönetim/konfigurasyonu yapabiliyorsunuz.
Sonraki yazılarımızda bunlara detaylı bir şekilde eğileceğiz.
Daha fazla detaylı bilgi için resmi blog yazısını okuyabilirsiniz.
http://blog.microsoft.com.tr/?p=28641
Kitura enables both mobile front-end and back-end portions of an application to be written in the same language, simplifying modern application development
A light-weight web framework written in Swift, that allows you to build web services with complex routes, easily
Leverages the strengths of Swift (like type safety) along with concurrency support from Grand Central Dispatch
IBM MobileFirst Platform is a mobile development platform that provides development and deploy options both on the cloud (Bluemix) and on-premise (installed locally). MFP enables you to build, enhance, and continuously deliver mobile apps efficiently and effectively.
IBM MobileFirst for iOS apps, built under the Apple and IBM partnership, leverage Swift and the move to open source to make the Swift programming language even more valuable.
Swift breaks down the barriers between client-side and server-side development, increasing speed and efficiency while taking advantage of growing Swift skills.
IBM brings Swift to the cloud. Swift is a powerful language for modern apps. Extending Swift's client-side benefits to the server simplifies end-to-end development.
The IBM Swift Sandbox enables developers to write and run Swift code from the browser. We’ve added interactive features like sharing and snapshotting. We’re introducing Kitura, a new open web framework and a Swift package catalog. Whether you’re writing your first lines of code, or an experienced Swift user testing on Linux, join us to bring Swift to the cloud.
Applying a Developer-Centric Approach to API Design from API Architect Ronnie...CA API Management
Designing an API from scratch can be a daunting task, but focusing on developer experience (DX) can act as a guiding light for API designers. In this session, we will explore the topic of interaction design and how it is changing the way we design web APIs today.
One option in the extensibility universe of SAP is the side-by-side extensibility. Usually, this is seen in close relation to the SAP Cloud Platform. In this talk, I want to show a small prototype on how to leverage the capabilities of the Microsoft Azure in combination with an SAP Business Suite backend to achieve a side-by-side extension. This is accompanied by a short introduction of the serverless paradigm used in the prototype. To grow some desire for making your hands dirty with Azure function as the central part of the prototype I will show how easy it is to set up Azure functions locally.
Choosing the Right Mobile Development Platform (Part 6)Chris Griffith
As more and more projects are requiring mobile applications, developers are faced with a wide range of options. AIR for mobile? PhoneGap? Titanium's Appcelerator? Sencha? Native? Which development environment makes sense? This session will explore the advantages and limitations of each of these environments from someone who has been in the mobile application development world for over 4 years. Get a clear picture of what these technologies can offer for your mobile development needs.
Getting started with microsoft cognitive services apiJasjit Chopra
This presentation is a part of meetup that happened on June 17 2017 in Chandigarh. We covered the options for developers to get started with MS Cognitive Services API.
W ramach tej prezentacji zobaczycie wykorzystanie sztucznej inteligencji oraz zespołów DataScience na przykadzie dwóch sektorów: Telco oraz Oil&Gas. Era usług chmurowych oraz dynamiczny rozwój darmowych narzędzi analitycznych przyczyniły się popularyzacji projektów Data Science w organizacjach o dowolnej wielkości. Rynek zaawansowanej analityki dostarcza szerokiej gamy narzędzi i specjalizowanych języków programowania umożliwiających rozwiazywanie stawianych przed zespołami badawczymi problemów w oparciu o zaawansowane algorytmy Data Science. Boty, agenci cyfrowi, rozumienie kontekstu, klastry obliczeniowe, big data.
Overview of azure microservices and the impact on integrationBizTalk360
On the back of Integrate 2014, Sam Vanhoutte will discuss view on some of the implications of the announcements made at the conference and talk about how this might affect the future for integration professionals
Building an IoT Massive Multiplayer Game in 60 Minutes - TechBash 2017Eran Stiller
The slide deck for my session at TechBash 2017 on "Building an IoT Massive Multiplayer Game in 60 Minutes".
Sample code can be found at https://github.com/estiller/iot-game
Solvion Trendwerkstatt - Microsoft Azure + BotsHolzerKerstin
In der Solvion Trendwerkstatt erfahren die Teilnehmer alle Trends rund um Microsoft Azure, Artikficial Intelligence und Bots. Microsoft MVP Stephan Bisser leitet durch den Workshop.
Tour de France Azure PaaS 6/7 Ajouter de l'intelligenceAlex Danvy
Nous assisterons probablement à une rupture générationnelle entre les apps avec de l'intelligence artificielle et celles sans. Ces dernières, comme les applications en mode caractères à l'arrivée des interfaces graphiques, auront du mal à perdurer.
Azure met à dispositions 3 approches pour ajouter de l'IA dans une app, avec un niveau de difficulté graduel, de l'outil ne nécessitant aucune compétence particulière à celui dédié aux Data Scientistes.
Microsoft is working hard to make Artificial Intelligence available to everyone. We not only infuse AI in our products but also give you the platform to build your very own solution, that you are a developer, a citizen data scientist or a hard core data scientist.
Conversational AI and Knowledge Mining with Microsoft Cognitive Servicesİbrahim KIVANÇ
Compiled samples for Conversational AI and Knowledge Mining with Microsoft Cognitive Services. This slide deck is used in Microsoft Technology Summit 2019, Haliç Congress Center.
Building conversation AI using Azure Bot & LUISNitin Raj
Conversational AI is another big topic in recent trend as most of the business started adopting conversation AI for
customer support services and internal support and operational activities. Natural interaction with language,
speech, and semantic understanding, and supporting multi model interaction. There are two main components
which are Bot and LUIS (Language Understanding Intelligent Service) / NLP (Natural Language Processing). There
are many tools and technologies are offering different services for Bot and LUIS /NLP. Here we will use Microsoft
tools as an example and build the demo from scratch and see how this work in real world example
Synthetic Data: From 3D model to AI on the EdgeSherry List
This presentation shows you how easily #SyntheticData can be created with the help of Three.JS and Playwright, and how this data can be used to train #ai models that will be used on the #Edge.
Azure IoT Hub is a PaaS scalable and multi-tenant platform that allows developers to easely build features like device registration, secure bidirectional communication between their core platform and their devices in the field, and at the same time be the hub for all the massive amount of data being generated by all those sensors that needs to be processed and stored, and with all that has become a core piece of a IoT solution that you want to build. On this session you will get to know the Azure IoT hub pretty well, getting introduced to the main features and seeing it in action and how fast you can deploy a solution with it and take the most out of Azure and your sensors to start making the most out of those sensors and their data.
Nesta apresentação vermos o que é Visão Computacional, seus objetivos, aplicações e por que este é um problema inverso e mal posto. Vamos verificar de maneira prática como Visão Computacional pode ser complexa, e o quão sua utilização pode ser benéfica.
Como ensinar uma máquina a escrever com Deep Learning, CNTK, TensorFlow e AzureVitor Meriat
Se utilizando de redes GANs, nesta apresentação mostrei como criar imagens com base em um conjunto de imagens pré selecionadas se utilizando de deep learning.
Deep Learning based on Computer VisionVitor Meriat
Palestra focada em visão computacional, com o intento de demonstrar a necessidade e importância da aritmética matricial
para Deep Learning e resoluções de problemas na área utilizando TensorFlow e CNTK.
Azure Stack - O poder da nuvem em seu datacenterVitor Meriat
Dia 07/05 na seda da Microsoft no Brasil, aconteceu a primeira edição do DevOps Summit Brasil. Esse é um evento que teve como origem a fusão dos já consagrados Azure Summit Brasil e ALM Summit Brasil com foco em promover o conhecimento de Cloud Computing e DevOps.
Dispositivos Inteligentes com Computação Cognitiva e IAVitor Meriat
Segundo Fábio Gandour, cientista-chefe da IBM Brasil, "Se existe algo mais importante que o conhecimento, é saber como usar esse conhecimento". Inteligência artificial é um assunto que já permeia a curiosidade humana nos últimos 50 anos, e agora temos ouvido falar sobre computação cognitiva que promete guiar a nova era da tecnologia da informação.
Computação Congnitiva embora seja um tema recente, já provou ter um grande potencial. A geração de conhecimento por meio de aprendizado e dos dados disponíveis é a próxima grande onda de inovação no mercado de tecnologia. Empresas usando feedbacks e dados de ambiente de lojas para traçar e explorar os padrões de consumo dos clientes, hospitais usando cognição para acelerar pesquisas contra o câncer, cidades controlando melhor os seus recursos são pequenos exemplos do que já temos no mundo conectado de hoje.
Ao unir computação cognitiva à Internet das Coisas conseguimos integrar e trabalhar um volume absurdo de dados com a inteligência cognitiva, gerando o subsídio necessário para as melhores tomadas de decisões.
Nesta sessão você vai conhecer os conceitos, as principais tecnologias envolvidas e como esse novo paradigma se encaixa no IoT atravéz dos dispositivos inteligentes.
QCon SP 2016 – Medição da experiência real dos usuários com sensores e Machin...Vitor Meriat
O uso de dispositivos nos veículos capturando dados forneceu uma visão clara sobre o que realmente acontecia nas caronas – e a análise dos dados com técnicas de machine learning permitiu reduzir distorções causadas por efeitos externos às caronas em si. Ao final, foi possível medir com maior precisão os múltiplos aspectos da experiência na utilização do serviço.
Vou apresentar nessa palestra técnicas de IoT e Inteligência Artificial foram fundamentais para melhorar a aplicação e a experiência dos usuários. Serão abordados os passos para construção da aplicação, sua arquitetura, utilização de sensores, cloud, analytics e aprendizado de máquina, assim como critérios de performance e custo computacional. Serão abordados também desafios enfrentados na comunicação entre os dispositivos utilizados nos veículos.
Internet das Coisas é possivelmente o termo mais falado no mundo da tecnologia nos últimos tempos, embora muito difundido, poucos realmente tratam IoT de início a fim, as vezes negligenciando a inteligência da nuvem, outras vezes segurança e focando quase sempre no hardware e seus componentes. Neste workshop venha ver de perto um dispositivo completo, funcionando e com todas as integrações. você poderá trabalhar com códigos para controlar os dispositivos e também com os dados gerados. A ideia é começarmos neste local algo bem maior que somente acender um led ou controlar algo remotamente. Venha conhecer e se divertir com o mundo da Internet das coisas. Serão abordados MQTT, conectividade e integração de sistemas e sensores com a nuvem, geração e tratamento de informações além do hardware. Não pretendemos montar hardware no workshop e sim utiliza-los para gerar uma solução.
TDC 2015 SP - O ciclo de vida de aplicações UWP Vitor Meriat
Apresentação realizada no dia 22-07-2015 para o TDC 2015 edição São Paulo.
http://www.thedevelopersconference.com.br/tdc/2015/saopaulo/trilha-universal-windows
Nuvem? Análise de dados e outros bichosVitor Meriat
Apresentação realizada no dia 30/05/2015 para o IoT Weekend Recife. http://goo.gl/dfP4QI
Além de uma visão sobre computação em nuvem, nesta seção você conhecerá um pouco mais sobre os serviços com foco em IOT do Microsoft AZURE. Os dados gerados por dispositivos vem em formatos diferentes e como podemos gerar uma análise desta informação e como isso pode ser um diferencial nas soluções.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
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
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
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.
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/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.