Presentation Business Meets IT Seminar (28/02) in Antwerp about Datacenter Optimization.
I started with Cloud, Apple & 'understanding women', ended with Mitt Romney.
http://www.businessmeetit.be
An extract from my presentation (given recently to a CIMA group) on how SMEs can benefit from the Cloud. Includes an overview of Cloud service types and how to select a Cloud supplier.
Cloud computing & big data for service innovation & learning2016
Cloud Computing and Big Data for Service Innovations & Learning
Up till now, most of the adoption of cloud computing focusses on the automation and consolidation of traditional IT services. As such, the gains are confined to the uniformity of control, cost reduction and better governance. Recent adoption of the cloud has gradually moved into tactical and even strategic levels thereby demonstrating a high level of gains for using the cloud for business transformations and innovations. Such benefits include dynamism in business model compositions and speed and ease in orchestrating service innovations in the cloud. This talk will shed light on how massive and rapid accumulation of data in the cloud can support human-machine cooperative problem solving and re-define the landscape of Open Innovation and Connectionist Learning via a Knowledge Cloud.
Big Data is all about extracting 4Vs
Cloud focuses on On-Demand, Elastic, Scalable, Pay-Per use Self Service models
“Big data is not a stand-alone technology; rather, it is a combination of the last 50 years of technology evolution”
Wave 1: Creating manageable data structures
Wave 2: Web and content management
Wave 3: Managing big data
In this presentation how cloud is useful in big data analytics.It givers brief introduction to cloud service models and Big data 4V's.Here I'm describing how cloud is used in telecom and finance domain. How it is better than traditional methods.
A presentation which informs small to medium-sized businesses the following:
-What cloud computing is, the costs/risks and what businesses are adopting it.
-The competitive advantages of cloud computing and why you never want your competitors to get there first.
-Answers to important questions about security, Internet connectivity, and where the data is stored.
-Critical facts every business should know before adopting a cloud based network.
An extract from my presentation (given recently to a CIMA group) on how SMEs can benefit from the Cloud. Includes an overview of Cloud service types and how to select a Cloud supplier.
Cloud computing & big data for service innovation & learning2016
Cloud Computing and Big Data for Service Innovations & Learning
Up till now, most of the adoption of cloud computing focusses on the automation and consolidation of traditional IT services. As such, the gains are confined to the uniformity of control, cost reduction and better governance. Recent adoption of the cloud has gradually moved into tactical and even strategic levels thereby demonstrating a high level of gains for using the cloud for business transformations and innovations. Such benefits include dynamism in business model compositions and speed and ease in orchestrating service innovations in the cloud. This talk will shed light on how massive and rapid accumulation of data in the cloud can support human-machine cooperative problem solving and re-define the landscape of Open Innovation and Connectionist Learning via a Knowledge Cloud.
Big Data is all about extracting 4Vs
Cloud focuses on On-Demand, Elastic, Scalable, Pay-Per use Self Service models
“Big data is not a stand-alone technology; rather, it is a combination of the last 50 years of technology evolution”
Wave 1: Creating manageable data structures
Wave 2: Web and content management
Wave 3: Managing big data
In this presentation how cloud is useful in big data analytics.It givers brief introduction to cloud service models and Big data 4V's.Here I'm describing how cloud is used in telecom and finance domain. How it is better than traditional methods.
A presentation which informs small to medium-sized businesses the following:
-What cloud computing is, the costs/risks and what businesses are adopting it.
-The competitive advantages of cloud computing and why you never want your competitors to get there first.
-Answers to important questions about security, Internet connectivity, and where the data is stored.
-Critical facts every business should know before adopting a cloud based network.
Role of Unified AI and ML in Cloud Technologies. Which Cloud Service Provider...Denodo
Watch full webinar here: https://bit.ly/3hpTRep
AI and ML help automate many of the enterprise tasks. What role do they play in cloud technologies? And, different cloud service providers (CSP) claim AI and ML capabilities within their technologies. But which one has better support for data science? Does any one CSP provide better tools and automation for data scientists to perform their analysis with ease and speed? The Chief AI Architect from UST will elaborate on the differences between cloud technologies for supporting AI, ML, and data science. Do you have additional questions that you want answered on this subject? Then bring them on.
Introduction to Cloud computing and Big Data-HadoopNagarjuna D.N
Cloud Computing Evolution
Why Cloud Computing needed?
Cloud Computing Models
Cloud Solutions
Cloud Jobs opportunities
Criteria for Big Data
Big Data challenges
Technologies to process Big Data- Hadoop
Hadoop History and Architecture
Hadoop Eco-System
Hadoop Real-time Use cases
Hadoop Job opportunities
Hadoop and SAP HANA integration
Summary
Adopting Hadoop to manage your Big Data is an important step, but not the end-solution to your Big Data challenges. Here are some of the additional considerations you must face:
Choosing the right cloud for the job: The massive computing and storage resources that are needed to support Big Data applications make cloud environments an ideal fit, and more than ever, there is a growing number of choices of cloud infrastructure types and providers. Given the diverse options, and the dynamic environments involved, it becomes ever more important to maintain the flexibility for all your IT needs.
Big Data is a complex beast: It involves many and different moving parts, in large clusters, and is continually growing and evolving. Managing such an environment manually is not a viable option. The question is, how can you achieve automation of all this complexity?
The world beyond Hadoop: Big Data is not just Hadoop – there is a whole rapidly growing ecosystem to contend with, including NoSQL, data processing, analytics tools… As well as your own application services. How can you manage deployment, configuration, scaling and failover of all the different pieces, in a consistent way?
In this session, you’ll learn how to deploy and manage your Hadoop cluster on any Cloud, as well as manage the rest of your big data application stack using a new open source framework called Cloudify.
It describe cloud infrastructure required for big data. It discusses the object storage and virtualization required for big data. Ceph is discussed as example.
Introduction to STaaS: WHERE WE ARE, STaaS: STORAGE ABSTRACTION AND AUTOMATIZATION, CREATING STaaS (SDS) MODEL FOR OUR IT, APP VISION vs BYTE VISION,
WHAT’S NEXT – DATA SERVICES (HDFS) AND HYBRID CLOUD (COMMODITY)
Chris Auld looks at the current data landscape and the ways in which organisations can differentiate with data for competitive advantage through the implementation of a good data strategy.
Dynamics Day is Australasia's leading event for users of Microsoft Dynamics. For those of you who couldn't make it along to the event, we have made all session content available online.
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)Denodo
Watch full webinar here: https://bit.ly/3dmOHyQ
Historically, data lakes have been created as a centralized physical data storage platform for data scientists to analyze data. But lately, the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. In this webinar, we will discuss why decentralized multi-purpose data lakes are the future of data analysis for a broad range of business users.
Watch on-demand this webinar to learn:
- The restrictions of physical single-purpose data lakes
- How to build a logical multi-purpose data lake for business users
- The newer use cases that make multi-purpose data lakes a necessity
Microsolve are delighted to be working with ICT Illawarra to determine if there is enough demand for Server Co-Location and/or Server Virtualisation from the Illawarra IT and business community to enable a commercially viable project to utilise space at the new Metronode Data Centre at Unanderra
Augmented Analytics and Automation in the Age of the Data ScientistWhereScape
At DAMA Day NYC, WhereScape's CTO Neil Barton spoke about the automation of data infrastructure as a necessary component to effectively enable the citizen data scientist and augmented analytics.
Neil also discussed how AI/ML can be used to recommend data ingestion pipelines and models in either supervised or unsupervised paradigms.
Exploring the Wider World of Big Data- Vasalis KapsalisNetAppUK
Every second of every day you hear about Electronic systems creating ever increasing quantities of data. Systems in markets such as finance, media, healthcare, government and scientific research feature strongly in the Big Data processing conversation. While extracting business value from Big Data is forecast to bring customer and competitive advantage and benefits. In this session hear Vas Kapsalis, NetApp Big Data Business Development Manager, discuss his views and experience on the wider world of Big Data.
Role of Unified AI and ML in Cloud Technologies. Which Cloud Service Provider...Denodo
Watch full webinar here: https://bit.ly/3hpTRep
AI and ML help automate many of the enterprise tasks. What role do they play in cloud technologies? And, different cloud service providers (CSP) claim AI and ML capabilities within their technologies. But which one has better support for data science? Does any one CSP provide better tools and automation for data scientists to perform their analysis with ease and speed? The Chief AI Architect from UST will elaborate on the differences between cloud technologies for supporting AI, ML, and data science. Do you have additional questions that you want answered on this subject? Then bring them on.
Introduction to Cloud computing and Big Data-HadoopNagarjuna D.N
Cloud Computing Evolution
Why Cloud Computing needed?
Cloud Computing Models
Cloud Solutions
Cloud Jobs opportunities
Criteria for Big Data
Big Data challenges
Technologies to process Big Data- Hadoop
Hadoop History and Architecture
Hadoop Eco-System
Hadoop Real-time Use cases
Hadoop Job opportunities
Hadoop and SAP HANA integration
Summary
Adopting Hadoop to manage your Big Data is an important step, but not the end-solution to your Big Data challenges. Here are some of the additional considerations you must face:
Choosing the right cloud for the job: The massive computing and storage resources that are needed to support Big Data applications make cloud environments an ideal fit, and more than ever, there is a growing number of choices of cloud infrastructure types and providers. Given the diverse options, and the dynamic environments involved, it becomes ever more important to maintain the flexibility for all your IT needs.
Big Data is a complex beast: It involves many and different moving parts, in large clusters, and is continually growing and evolving. Managing such an environment manually is not a viable option. The question is, how can you achieve automation of all this complexity?
The world beyond Hadoop: Big Data is not just Hadoop – there is a whole rapidly growing ecosystem to contend with, including NoSQL, data processing, analytics tools… As well as your own application services. How can you manage deployment, configuration, scaling and failover of all the different pieces, in a consistent way?
In this session, you’ll learn how to deploy and manage your Hadoop cluster on any Cloud, as well as manage the rest of your big data application stack using a new open source framework called Cloudify.
It describe cloud infrastructure required for big data. It discusses the object storage and virtualization required for big data. Ceph is discussed as example.
Introduction to STaaS: WHERE WE ARE, STaaS: STORAGE ABSTRACTION AND AUTOMATIZATION, CREATING STaaS (SDS) MODEL FOR OUR IT, APP VISION vs BYTE VISION,
WHAT’S NEXT – DATA SERVICES (HDFS) AND HYBRID CLOUD (COMMODITY)
Chris Auld looks at the current data landscape and the ways in which organisations can differentiate with data for competitive advantage through the implementation of a good data strategy.
Dynamics Day is Australasia's leading event for users of Microsoft Dynamics. For those of you who couldn't make it along to the event, we have made all session content available online.
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)Denodo
Watch full webinar here: https://bit.ly/3dmOHyQ
Historically, data lakes have been created as a centralized physical data storage platform for data scientists to analyze data. But lately, the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. In this webinar, we will discuss why decentralized multi-purpose data lakes are the future of data analysis for a broad range of business users.
Watch on-demand this webinar to learn:
- The restrictions of physical single-purpose data lakes
- How to build a logical multi-purpose data lake for business users
- The newer use cases that make multi-purpose data lakes a necessity
Microsolve are delighted to be working with ICT Illawarra to determine if there is enough demand for Server Co-Location and/or Server Virtualisation from the Illawarra IT and business community to enable a commercially viable project to utilise space at the new Metronode Data Centre at Unanderra
Augmented Analytics and Automation in the Age of the Data ScientistWhereScape
At DAMA Day NYC, WhereScape's CTO Neil Barton spoke about the automation of data infrastructure as a necessary component to effectively enable the citizen data scientist and augmented analytics.
Neil also discussed how AI/ML can be used to recommend data ingestion pipelines and models in either supervised or unsupervised paradigms.
Exploring the Wider World of Big Data- Vasalis KapsalisNetAppUK
Every second of every day you hear about Electronic systems creating ever increasing quantities of data. Systems in markets such as finance, media, healthcare, government and scientific research feature strongly in the Big Data processing conversation. While extracting business value from Big Data is forecast to bring customer and competitive advantage and benefits. In this session hear Vas Kapsalis, NetApp Big Data Business Development Manager, discuss his views and experience on the wider world of Big Data.
Data Center Migration Essentials - Adam Saint-Prix Tim WongAtlassian
This session will explore the key steps involved in planning a move to JIRA and Confluence Data Center. We'll walk through and highlight some of the essential planning steps for a successful migration to Atlassian's HA/Clustering Solution. Topics to include a planning framework for migration and a discussion on how to avoid common resource, process, and execution pitfalls.
Moving Your Data Center: Keys to planning a successful data center migrationData Cave
Moving a data center is something that most IT professionals will have to engage in at some point, and this presentation looks at several areas that can help to make a data center migration as smooth and seamless as possible. We cover areas such as:
-Determining whether to replicate your existing data center infrastructure, or build a new infrastructure as part of the migration project.
-The importance of experience during the logistical side of the data center migration.
-The significance of planning as well as evaluating and fine-tuning your plan on an ongoing basis.
If you will soon be in the process of planning and performing a data center migration, then we encourage you to read up!
Best Practices for Data Center Migration Planning - August 2016 Monthly Webin...Amazon Web Services
Migrating large scale data centers to the cloud can be challenging and there are generally many ways to execute these projects successfully. Using the right AWS services and tools can help you lower migration risk and expense.. This webinar will recommend a project management and decision-making approach that will help you make the right AWS migration decisions while minimizing unnecessary expenses and maximizing ROI.
Learning Objectives:
• Understand how to apply the AWS Cloud Adoption Framework to migrations
• Understand financial considerations (ROI, CapEx versus OpEx, budgeting for overlapping expenses)
• Learn a method for prioritization of workloads (both technical and financial)
• Understand how different project management approaches (Traditional, Kanban/Lean) can be used most effectively
• Learn how to lower project risk and difficulty using key AWS services (Snowball, Direct Connect, RDS, DMS)
• Learn how to define project completion criteria - when is a migration really done?
Big Data & IoT. Opportunities and challengesMediaTek Labs
The third webinar in the series, From concept to consumer – make your IoT idea a commercial reality – focussed on IoT security.
One of the major challenges facing the growth and adoption of IoT devices is security. The nature of the fragmented IoT market has led to some genuine security concerns and some novel yet unstandardized devices. With this uncertainty also comes opportunity, especially for solutions who identify security as a key function early in a project.
This webinar explored some of the security challenges facing the burgeoning IoT market: Implementation challenges; Safeguards against breaches; Integrating security standards from the outset.
Cloudera + Syncsort: Fuel Business Insights, Analytics, and Next Generation T...Precisely
Effective AI and ML projects require a perfect blend of scalable, clean data funneled from a variety of sources across the business. The only problem? Uncleaned data often lives in hard-to-access legacy systems, and it costs time and money to build the right foundation to deliver that data to answer ever-changing questions from business users. Together, Cloudera and Syncsort enable you to build a scalable foundation of data connections to reinvent the data lifecycle of all your projects in the most efficient way possible.
View this webinar on-demand to learn how innovative solutions from Cloudera and Syncsort enable AI and ML success. You will learn:
• Best practices for transforming complex data into clear, actionable insights for AI and ML projects
• How to visually assess the quality of the sources in your data lake and their completeness, consistency, and accuracy
• The value of an Enterprise Data Cloud and the newly unveiled Cloudera Data Platform
• How Syncsort Connect integrates natively with the Cloudera Data Platform
On premises, private, public, hybrid ... welche Möglichkeiten gibt es, wie trifft man die richtigen Entscheidungen und wie bereiten Sie sich am besten auf die Wolke - oder auch mehrere Wolken - vor?
Von IBM Notes und Domino, über Verse, das IBM Notes Browser Plugin, IBM Sametime und IBM Connections, bis hin zu SoftLayer machen wir einen Streifzug durch verschiedene Optionen und was es zu beachten gibt.
Technisches Niveau / Zielgruppe:
Administratoren / IT Entscheider
Erwartete Vorkenntnisse:
Grundlagen Notes/Domino Administration
präsentiert von Christoph Adler
Denodo DataFest 2017: Data Virtualization in the World of Edge ComputingDenodo
Watch the live session on-demand here: https://goo.gl/3KJTsh
The Internet-of-Things is further evolving into Internet-of-Anything. Organizations are empowering business users with actionable intelligence derived from data-in-motion, data-at-rest, and enterprise applications. Edge computing plays an important role in the IoT ecosystem since immediacy enables faster response to urgent conditions.
Watch this Denodo DataFest 2017 session to discover:
• How edge computing enables IoT-driven businesses
• The role of data virtualization in Internet-of-Anything
• Data virtualization and edge computing patterns
¿Cómo las manufacturas están evolucionando hacia la Industria 4.0 con la virt...Denodo
Watch full webinar here: https://bit.ly/3cbpipB
Uno de los sectores en los que la transformación digital está teniendo un efecto más disruptivo es el de la fabricación. Líderes del sector manufacturero están apostando por el Big Data, la computación en la nube, la inteligencia artificial y el Internet de las Cosas (IoT) entre otras tecnologías, además de contemplar la llegada de la 5G, con el fin de:
- Automatizar los procesos de manera eficiente, para permitir una mayor producción en menor tiempo
- Crear valor añadido en los productos manufacturados
- Conectar la planta industrial con el punto de venta
- Impulsar el análisis en tiempo real de datos provenientes de diferentes cadenas de producción
Sin embargo, para alcanzar estos objetivos y llevar a cabo esta revolución tecnológica, también conocida como industria 4.0, las manufacturas tienen que enfrentarse a una serie de desafíos no negligentes. El sector industrial es el que genera más datos en el mundo, y en la era digital, la velocidad, la diversidad y el volumen exponencial de los datos pueden superar las arquitecturas de TI tradicionales. Además, la mayoría de los fabricantes se enfrentan a silos de datos, lo que hace que su tratamiento sea lento y costoso. Necesitan entonces una plataforma de TI fiable que permita integrar, centralizar y analizar datos de distintas fuentes y diferentes formatos de manera ágil y segura para poner la información al servicio del negocio.
Los expertos de Enki y Denodo te proponen este seminario online para descubrir qué es la virtualización de datos, y por qué líderes del sector apuestan por esta tecnología innovadora para optimizar su estrategia de TI y conseguir un ROI significativo gracias a un acceso más rápido, simple y unificado a los datos industriales.
Watch full webinar here: https://bit.ly/3puUCIc
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Watch on-demand this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise? Where does it fit?
Datenstrategie der Zukunft - Technologietrends, die Sie kennen müssenDenodo
https://bit.ly/2Aa0I9P
Im Zeitalter von Big Data, künstlicher Intelligenz und Cloud Computing nimmt die Menge und Heterogenität der Daten rasant zu. Unternehmen brauchen klare Strategien, um ihre digitalen Informationen effektiv zu nutzen und die datenbasierte Wertschöpfung voranzutreiben.
In diesem Webinar stellen wir Ihnen zukunftsweisende Technologietrends vor, die die Datenstrategien von Unternehmen global prägen:
- Wie richten große Organisationen ihre Architekturen zur konformen Daten-Bereitstellung strategisch aus? Welche Rolle spielt hierbei das Konzept der „Data Fabric“?
- Wie lässt sich eine konsistente Daten-Integration in Echtzeit innerhalb einer heterogenen Landschaft aus on-prem und diversen Clouds sicherstellen?
- Wie können Unternehmen eine Self-Service Infrastruktur aufbauen, um ihre Datenbestände zugänglich zu machen und zu monetarisieren?
- Welche Rolle kann sprachgesteuerte AI in der Zukunft der Datenanalyse spielen?
Connecta Event: Big Query och dataanalys med Google Cloud PlatformConnectaDigital
Avancerad dataanalys och ”big data” har under de senaste åren klättrat på trendlistorna och är nu ett av de mest prioriterade områdena i utvecklingen av nya tjänster och produkter för ledarföretag i det digitala landskapet.
Informationen som byggs upp i systemen när kundmötena digitaliseras har visat sig vara guld värt. Här finns allt vi behöver veta för att göra våra affärer mer effektiva.
Sedan sommaren 2013 har Connecta tillsammans med Google ett etablerat samarbete för att hjälpa våra kunder med övergången till moln-tjänster för bland annat avancerad dataanalys. För att göra oss själva redo att hjälpa våra kunder har vi under ett antal år utvecklat såväl kunskaper som skaffat oss erfarenheter kring Googles olika moln-produkter, som exempelvis ”Big Query”.
Big Query är ett molnbaserat analysverktyg och en del av Google Cloud Platform. Big Query gör det möjligt att ställa snabba frågor mot enorma dataset på bara någon sekund. Big Query och Google Cloud Platform erbjuder färdiga lösningar för att sätta upp och underhålla en infrastruktur som med enkla medel gör allt detta möjligt.
På Connecta Digital Consultings tredje event för våren introducerade vi våra kunder och partners i koncepten dataanalys och Big Query.
Under eventet berördes följande punkter:
- Big Data och Business Intelligence (BI)
- “The Google Big Data tools” – framgångsfaktorer och hur man kommer igång
- Google Cloud Platform och hur man genomför en framgångsrik molnsatsning
Vi presenterade case och berättade om viktiga lärdomar vi dragit i samarbetet med Google och våra kunder.
Data Virtualization to Survive a Multi and Hybrid Cloud WorldDenodo
Watch full webinar here:https://buff.ly/2Edqlpo
Hybrid cloud computing is slowing becoming the standard for businesses. The transition to hybrid can be challenging depending on the environment and the needs of the business. A successful move will involve using the right technology and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit.
In this session, you will learn:
*Key challenges of migration to the cloud in a complex data landscape
*How data virtualization can help build a data driven, multi-location cloud architecture for real time integration
*How customers are taking advantage of data virtualization to save time and costs with limited resources
From Paris Hilton to Walmart: welcome to the Big Data RevolutionWilliam Visterin
Presentatie op het CPBB Convention van BNP. De presentatie bleek een van de drukst bijgewoonde van de hele conventie. Big data op een erg toegankelijke manier.
Future of Working: trends in technology, business and work. Roadshow for Unizo. 45 minutes presentation for managers, freelancers and 'self-employers'.
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/
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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.
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.
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.
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
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.
6. Smart Business Strategies
• The only Belgian IT magazine that takes the business
manager in perspective
• Business decision maker
• Target audience: managing director, IT manager, HR
manager, marketing manager,...
• Understandable and strategy focused
• Cases & user centric
• Business IT magazine that matters
7.
8.
9. Business Meets IT - Agenda
• 9.30: Market Research: William Visterin
(Smart Business Strategies)
• 10.00: Keynote: Daniel Lebeau, VP Management & Information
Systems GlaxoSmithKline Biologicals
• 10.30: Break
• 11.00: Case: Luk Van Beneden, IT-directeur Stad Kortrijk
• 11.30: Case: Olivier Seynhaeve, IT-directeur bij Qissme / Accent Jobs
For People
• 12.00: Case: Gert Jacobs, verantwoordelijke ICT-infrastructuur en
support bij ADMB
• 12.30: Walking Dinner
19. Cloud computing
refers…
…to the provision of
computational resources, such as
applications, databases, file services, email, etc
on demand…
via a computer network
Source: Wikipedia
43. Implications in the Post-PC
CHOICE DATA CENTERS
COMPUTING UNIFY, BUT DATA NEW ROLES
DISAGGREGATES
The New The Cloud The Data
Developer Architect Scientist
DATA CENTERS
The New User
DATA
44. What consolidation are you talking about?
• Server Consolidation
• Storage Consolidation
• Datacenter Consolidation
• Vendor Consolidation
• …
45.
46.
47. Where is this going to end?
How many computers
do you need?
56. Own datacenter or outsourcing?
• Control
• Flexibility
• Investments
• Security
• Up-to-Date
• ….
57. Beschikt u in uw organisatie over een
datacenter (of serverruimte)?
Zowel eigen
datacenter
als extern;
24%
Ja, in ons
bedrijf zelf;
Neen, wij 63%
gebruiken
extern
datacenter;
13%
Smart Business Strategies, ZDNet, 2012, N=361
60. Energy in datacenter =
• 52 % -> Computer systems
• 38 % -> Cooling
• 9 % -> Infrastructure
• 1% -> Lightning
61.
62. Tips for efficiency: technical
• Natural Cooling: for 92% of the time
• Heat resistant servers: from 18°- 22°to 27°-
34°
• Use heat for Office & Building heating
• Efficient networking: 1 port 10 giga > 10 port 1
giga (= 2,5 watt/hour versus 5 watt)
82. Evolution Storage in Belgian Companies
(2010-2012)
• SAN: + 31%
• NAS: + 44%
• Tape: - 4%
83. Installed base storage
(SAN, NAS and DAS)
OTHER 15%
HP 36%
IBM 11%
DELL 11%
NETAPP 13% EMC 14%
All sites with SAN, NAS or DAS and 100 or more employees / Belgium
Computer Profile / February 2012
94. Business Meets IT - Agenda
• 9.30: Market Research: William Visterin
(Smart Business Strategies)
• 10.00: Keynote: Daniel Lebeau, VP Management & Information
Systems GlaxoSmithKline Biologicals
• 10.30: Break
• 11.00: Case: Luk Van Beneden, IT-directeur Stad Kortrijk
• 11.30: Case: Olivier Seynhaeve, IT-directeur bij Qissme / Accent Jobs
For People
• 12.00: Case: Gert Jacobs, verantwoordelijke ICT-infrastructuur en
support bij ADMB
• 12.30: Walking Dinner
•