To cope with privacy laws, big data players face a new need: synthetic data.
At Real Impact Analytics, we specialize in modelling telecom data. Here is how we created our own synthetic data generator.
website realimpactanalytics.com
email info@realimpactanalytics.com
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
Cloud computing is a releasing individual and institutions from the traditional cvcle of buying-using-maintaining-upgrading IT resourcs - both hardware and software. Instead it is making IT resource accessible from anywhere and at proportions as required by the end user. Here is a brief introduction to this new transformation
Lenovo HPC: Energy Efficiency and Water-Cool-Technology Innovationsinside-BigData.com
In this deck from the 2018 Swiss HPC Conference, Karsten Kutzer from Lenovo presents: Energy Efficiency and Water-Cool-Technology Innovations.
"This session will discuss why water cooling is becoming more and more important for HPC data centers, Lenovo’s series of innovations in the area of direct water-cooled systems, and ways to re-use “waste heat” created by HPC systems."
Watch the video: https://wp.me/p3RLHQ-iDl
Learn more:
http://lenovo.com
and
http://www.hpcadvisorycouncil.com/events/2018/swiss-workshop/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
To cope with privacy laws, big data players face a new need: synthetic data.
At Real Impact Analytics, we specialize in modelling telecom data. Here is how we created our own synthetic data generator.
website realimpactanalytics.com
email info@realimpactanalytics.com
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
Cloud computing is a releasing individual and institutions from the traditional cvcle of buying-using-maintaining-upgrading IT resourcs - both hardware and software. Instead it is making IT resource accessible from anywhere and at proportions as required by the end user. Here is a brief introduction to this new transformation
Lenovo HPC: Energy Efficiency and Water-Cool-Technology Innovationsinside-BigData.com
In this deck from the 2018 Swiss HPC Conference, Karsten Kutzer from Lenovo presents: Energy Efficiency and Water-Cool-Technology Innovations.
"This session will discuss why water cooling is becoming more and more important for HPC data centers, Lenovo’s series of innovations in the area of direct water-cooled systems, and ways to re-use “waste heat” created by HPC systems."
Watch the video: https://wp.me/p3RLHQ-iDl
Learn more:
http://lenovo.com
and
http://www.hpcadvisorycouncil.com/events/2018/swiss-workshop/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck from ATPESC 2019, James Moawad and Greg Nash from Intel present: FPGAs and Machine Learning.
"Neural networks are inspired by biological systems, in particular the human brain. Through the combination of powerful computing resources and novel architectures for neurons, neural networks have achieved state-of-the-art results in many domains such as computer vision and machine translation. FPGAs are a natural choice for implementing neural networks as they can handle different algorithms in computing, logic, and memory resources in the same device. Faster performance comparing to competitive implementations as the user can hardcore operations into the hardware. Software developers can use the OpenCL device C level programming standard to target FPGAs as accelerators to standard CPUs without having to deal with hardware level design."
Watch the video: https://wp.me/p3RLHQ-lnc
Learn more: https://extremecomputingtraining.anl.gov/archive/atpesc-2019/agenda-2019/
and
https://www.intel.com/content/www/us/en/products/programmable/fpga.html
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Here we describe federated learning based traffic flow prediction system. In federated learning we solve the problem of data security and also provide collaborative learning. model parameter are shared here ,not data
Requirements Hierarchy - A Journey through the Requirements LifecycleMarie Halsey
How do you get from “We need something different” to detailed requirements? What do requirements look like as they evolve through the phases of the requirements lifecycle? What are the deliverables in each phase?
This presentation discusses three phases of requirements definition – Scope, High Level Requirements and Detailed Requirements.
The components of the deliverables in each phase are described, examples of the evolution of requirements through the lifecycle phases are presented, and guidelines for each deliverable are provided.
Learning Objectives:
• Understand the components of the three levels of requirements – Scope, High Level Requirements and Detailed Requirements.
• Understand the evolution of requirements through each level.
• Guidelines for each level of requirement
A brief introduction , relevance, and significance of cloud computing with different types of platforms and services have been highlighted in the presentation.
The Power of Geo Analytics (and maps) to Improve Predictive Analytics in Heal...Health Catalyst
As far back as the 1840s, clinicians have been using maps to inform them about population health trends. Today, the geo-analytics industry is well-developed in almost every application, with the exception of healthcare and medicine. There is potential to use mapping technologies to show patient disease burden in geographic form, map locations of health care facilities, and a plethora of accountable care population health initiatives would benefit from geo-analysis. Health Catalyst is working to integrate inputs into analysis like maps that can show geographic care boundaries, population health demographics, and more.
A set of computers and computer network resources based on the standard cloud computing model, in which a service provider makes resources, such as applications and storage, available to the general public over the Internet .
Public cloud services may be free or offered on a pay-per-usage model.
Applications, storage, and other resources are made available to the general public by a service provider. There are service providers like Amazon, Microsoft or Google who own all infrastructure at their data center.
The way an organization handles callers can make the difference
between business won and lost. NEC’s UC for Business (UCB)
Executive Desktop gives employees the tools they need to provide
faster, more personalized service to customers and business partners
IBM software is optimized to work together in integrated solutions and architected on open standards that allow it to work with other software and hardware.
In this deck from ATPESC 2019, James Moawad and Greg Nash from Intel present: FPGAs and Machine Learning.
"Neural networks are inspired by biological systems, in particular the human brain. Through the combination of powerful computing resources and novel architectures for neurons, neural networks have achieved state-of-the-art results in many domains such as computer vision and machine translation. FPGAs are a natural choice for implementing neural networks as they can handle different algorithms in computing, logic, and memory resources in the same device. Faster performance comparing to competitive implementations as the user can hardcore operations into the hardware. Software developers can use the OpenCL device C level programming standard to target FPGAs as accelerators to standard CPUs without having to deal with hardware level design."
Watch the video: https://wp.me/p3RLHQ-lnc
Learn more: https://extremecomputingtraining.anl.gov/archive/atpesc-2019/agenda-2019/
and
https://www.intel.com/content/www/us/en/products/programmable/fpga.html
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Here we describe federated learning based traffic flow prediction system. In federated learning we solve the problem of data security and also provide collaborative learning. model parameter are shared here ,not data
Requirements Hierarchy - A Journey through the Requirements LifecycleMarie Halsey
How do you get from “We need something different” to detailed requirements? What do requirements look like as they evolve through the phases of the requirements lifecycle? What are the deliverables in each phase?
This presentation discusses three phases of requirements definition – Scope, High Level Requirements and Detailed Requirements.
The components of the deliverables in each phase are described, examples of the evolution of requirements through the lifecycle phases are presented, and guidelines for each deliverable are provided.
Learning Objectives:
• Understand the components of the three levels of requirements – Scope, High Level Requirements and Detailed Requirements.
• Understand the evolution of requirements through each level.
• Guidelines for each level of requirement
A brief introduction , relevance, and significance of cloud computing with different types of platforms and services have been highlighted in the presentation.
The Power of Geo Analytics (and maps) to Improve Predictive Analytics in Heal...Health Catalyst
As far back as the 1840s, clinicians have been using maps to inform them about population health trends. Today, the geo-analytics industry is well-developed in almost every application, with the exception of healthcare and medicine. There is potential to use mapping technologies to show patient disease burden in geographic form, map locations of health care facilities, and a plethora of accountable care population health initiatives would benefit from geo-analysis. Health Catalyst is working to integrate inputs into analysis like maps that can show geographic care boundaries, population health demographics, and more.
A set of computers and computer network resources based on the standard cloud computing model, in which a service provider makes resources, such as applications and storage, available to the general public over the Internet .
Public cloud services may be free or offered on a pay-per-usage model.
Applications, storage, and other resources are made available to the general public by a service provider. There are service providers like Amazon, Microsoft or Google who own all infrastructure at their data center.
The way an organization handles callers can make the difference
between business won and lost. NEC’s UC for Business (UCB)
Executive Desktop gives employees the tools they need to provide
faster, more personalized service to customers and business partners
IBM software is optimized to work together in integrated solutions and architected on open standards that allow it to work with other software and hardware.
Distributed Design and Architecture of Cloud FoundryDerek Collison
In this session we will dig deep into Cloud Foundry's core architecture and design principles. We will discuss the challenges around scaling and operating a large scale service as we combined the PaaS and traditional IaaS layers, and how we achieve multiple updates per week to the system with no perceived downtime. Allowing user to download a single virtual machine that is a complete replica of the service presented some challenges as well, and we will discuss our approach to offering up the downloadable private cloud.
2010 Software Licensing and Pricing Survey Results and 2011 PredictionsFlexera
2010 Software Licensing and Pricing Survey Results and 2011 Predictions by Amy Konary, Director, Software Pricing and Licensing, IDC
Presented at SoftSummit 2010
Cisco Unified Computing Systems UpdateCisco Canada
The Cisco Unified Computing System represents a radical simplification of traditional architectures, dramatically reducing the number of devices organizations must purchase, deploy, and maintain. Cisco UCS delivers end-to-end optimization for virtualized environments while retaining the ability to support traditional OS and application stacks in physical environments. This session will provide attendees with an update on new features available from both hardware and software perspectives for the Cisco Unified Computing System.
Managing Your Cloud with Confidence - Mark Rivington, n•fluence 2012CA Nimsoft
The cloud effect on IT Traditional systems management is based on complete control of all components and resources. The physical datacenter embodied this principle of control The cloud dissipates the datacenter and disseminates control beyond organizational boundaries. Now the “datacenter” is a heterogeneous mix of disparate computing environments Controlling across cloud boundaries is the challenge.
For more information visit, http://www.nimsoft.com.
Evento Xenesys - Virtualizzare gli applicativi core e proteggere i dati azien...Xenesys
Le presentazioni dell'evento del 15 maggio 2012, organizzato da Xenesys al The Westin Excelsior Hotel di Firenze. Gli argomenti della virtualizzazione degli applicativi core, della protezione dei dati in azienda e del cloud computing affrontati con il contributo degli esperti di EMC, VMware e 9Proof.
20091021 At Crossroads: Internet of Services Research beyond Call 5Arian Zwegers
Presentation about current developments around the Future Internet, the next Work Programme for Internet of Services, and the current constituency's culture, for the eChallenges conference, Istanbul (Turkey), 21 October 2009
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
"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.
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.
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
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
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.
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.
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.
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
4. PRIVATE CLOUD MATURITY
BUSINESS ALIGNED
INFRASTRUCTURE
DYNAMIC
INFRASTRUCTURE
-Automated Service
AGILE
IT & Business Integration
Management
INFRASTRUCTURE
-Integration of Service
CONSOLIDATED & Infrastructure
INFRASTRUCTURE -Automated Provisioning Management
-Self Service -Chargeback
-Automated Integration -ITSM Dashboard
-Fault Management
-Resource Pooling
-Performance Management
-High Availability -Capacity Management
Run Book Automation
-Disaster Recovery
-Server Consolidation -Tiered Services Infrastructure M&A Tools Infrastructure M&A Tools
-Storage Consolidation
-Network Consolidation Virtual Infrastructure Virtual Infrastructure Virtual Infrastructure
Hypervisor Hypervisor Hypervisor Hypervisor
4 Jake Reeves - May 2011
5. CLOUD SERVICE LAYERS
USERS
CLIENT DEVICE
INTERCONNECTING NETWORK
SOFTWARE
HOSTED
APPLICATION
SOFTWARE
PLATFORM
INFRASTRUCTURE
SOFTWARE
OS
INFRASTRUCTURE
VIRTUALISATION
LAYER
PHYSICAL
SERVERS
NETWORKING
FIREWALL
DATA CENTRE
MECHANICAL
ELECTRICAL
5 Jake Reeves - May 2011
6. SERVICE CATALOGUE
Service Blueprint:
- Resource configurations
- Operating systems
- Middleware stacks
- Application alternatives
- Networking options
- Compliance packages
- Monitoring tools
- Service levels
- Prices
S M L Deployment Model:
- Scale Service
- Locations Catalogue
Service Offering:
- Presented in business language
Servers Networks Public Storage to requestors based on role
Cloud
Option 1 Service Options:
Option 21
Option - Configurable options
Option 321
Option
Option - SLA etc.
Option 32
Option
Option 3
6 Jake Reeves - May 2011
7. SERVICE LIFECYCLE
Request Service
Self-Service Portal
Service
Catalogue
Service Request
Management
[Automated]
Cloud Virtual
Servers
Service
Management CMS Orchestration &
Provisioning
Network
Physical
Storage Servers
Applications
Operations
&
Performance Compliance Financial
Governance Management Management Management
7 Jake Reeves - May 2011
8. CLOUD SERVICE MANAGEMENT ARCHITECTURE
PRESENTATION INTEGRATED
DEVELOPMENT
EXECUTIVE DASHBOARDS/ROLE BASED OPERATIONAL CONSOLES ENVIRONMENT
Service Consumer Customer User
Integrator
INTEGRATED PROCESS ENGINE
Performance SLA
PERFORMANCE
Availability Data SERVICE LEVEL Breaches REAL TIME BUSINESS INTEGRATED SERVICE DESK VERSION &
AVAILABILITY USER EVENTS & SERVICE
REPORTING & SERVICE INTELLIGENCE [Request, Incident, Problem, CONFIGURATION
CAPACITY EXPERIENCE DIAGNOSTICS CATALOGUE
COMPLIANCE STATUS & REPORTING Change, Release] CONTROL
REPORTING
Performance Service Data
Availability CI Data
Data RELEASE & DEPLOYMENT
PERFORMNACE AVAILABILITY
EVENT CONFIGURATION
MANAGEMENT
CAPACITY MANAGEMENT
MANAGEMENT MANAGEMENT Asset & CI ISD DB
Data
PERFORMANCE Performance EVENT
AVAILABILITY Events CORRELATION CI Data PROVISIONING
CMS Service
CAPACITY AGGREGATION Service
Request Performance Data
ANALYSIS ENRICHMENT Request
Discovery Data
ASSET SECURITY
ASSET &
COMPONENT
Performance CONFIGURATION DATA, NETWORK, IDENTITY &
TOPOLOGY PHYSICAL
Data ANALYSIS INFRASTRUCTURE ACCESS
DISCOVERY SECURITY
Events SECURITY MANAGEMENT
Discovery Data Security Events
PERFORMANCE GOVERNANCE &
APPLICATION
DATABASE RISK IDENTITY DB
SECURITY
MANAGEMENT
SECURITY STORAGE & E2E
BATCH WAN/LAN OS & HARDWARE APPLICATION USER EXPERIENCE INTERNET SERVICE SERVICE
SYSTEM BACKUP TRANSACTION QOS
MONITORING MONITORING MONITORING MONITORING MONITORING MONITORING ASSURANCE
MONITORING MONITORING MONITORING
INFRASTRUCTURE MONITORING IT SERVICE MONITORING COMMUNICATION & CONTENT MONITORING
8 Jake Reeves - May 2011
