UX Nights Vol XXVI Big Data y Experiencia de Usuario
UX y Big Data. ¿Por dónde comenzar?
Richard Johnson
Director Metriplica América
6 de octubre de 2016
Ciudad de México
UX Nights Vol XXVI Big Data y Experiencia de Usuario
UX y Big Data. ¿Por dónde comenzar?
Richard Johnson
Director Metriplica América
6 de octubre de 2016
Ciudad de México
Determine the required delivery characteristics of a packet stream and how a Traffic Management (TM) module can offload compute-intensive tasks. Hear more about the latest innovations in both DPI & TM solutions.
Leveraging IMS for VoLTE and RCS Services in LTE Networks Presented by Adnan ...Radisys Corporation
ETSI Workshop – RCS VoLTE and Beyond
Kranj, Slovenia
October 11, 2012
Adnan Saleem discusses the advantages of moving to VoLTE/RCS for mixed mobile operators – and addresses the key challenges along the way.
Rapid and flexible clinical data extraction and processing using Apache OODTRicky Nguyen
This Fast Feather talk was given by Ricky Nguyen at ApacheCon 2011 in Vancouver, British Columbia on Wed, Nov 9, 2011. CHLA\'s Whittier VPICU aims to provide a common information space for pediatric intensivists worldwide. However, there are many challenges in producing research data from clinical data sources. Apache OODT helps the VPICU meet those challenges, proving that the Apache toolset and community are invaluable resources.
The NGN Carrier Ethernet System: Technologies, Architecture and Deployment Mo...Cisco Canada
This presentation discusses market trends and its impact on Network infrastructure, Cisco carrier Ethernet Transport Architecture, Cisco carrier Ethernet portfolio and TCO Leadership.
Problems of Contemporary Communication Companies. Ways and Tools for Solving ...SSA KPI
AACIMP 2010 Summer School lecture. "Information Technologies" stream. "Problems of Contemporary Communication Companies. Ways and Tools for Solving Them" course.
More info at http://summerschool.ssa.org.ua
Core Network Optimization: The Control Plane, Data Plane & BeyondRadisys Corporation
This presentation takes you through the challenges network operators are facing as they bring in more and more bandwidth-intensive applications to their network. There are ways to optimize the network from the RAN to the Core -- and improve QoS.
Infosys - Automotive RFID Systems & Solutions | Supply ChainInfosys
Infosys RFID automotive systems and aerospace RFID solutions help automotive companies to better manage the uncertainties and associated changes in important factors like business requirements, KPIs, cost sharing models and technological advancements across partners
Convergence of digital information has been initiated a couple decades ago. Practically, almost all networks have now been utilising Internet Protocol. However, networks, applications, and contents managements vary by the nature of service types: IMS, SDP, IPTV, etc. Should another convergence be arranged to unify the management of the entire network for optimal results?
Value added service (VAS) provider failures: insights from VAS product companiesBrowne & Mohan
Dr TR Madan Mohan, Managing partner addressed Network of ICT Entrepreneurs and Enterprises (NITEE), under the aegis of Foundation for MSME Clusters (www.msmefoundation.org), New Delhi on 27th August 2010 regarding “Value added service (VAS) provider failures: insights from VAS product companies”.
Determine the required delivery characteristics of a packet stream and how a Traffic Management (TM) module can offload compute-intensive tasks. Hear more about the latest innovations in both DPI & TM solutions.
Leveraging IMS for VoLTE and RCS Services in LTE Networks Presented by Adnan ...Radisys Corporation
ETSI Workshop – RCS VoLTE and Beyond
Kranj, Slovenia
October 11, 2012
Adnan Saleem discusses the advantages of moving to VoLTE/RCS for mixed mobile operators – and addresses the key challenges along the way.
Rapid and flexible clinical data extraction and processing using Apache OODTRicky Nguyen
This Fast Feather talk was given by Ricky Nguyen at ApacheCon 2011 in Vancouver, British Columbia on Wed, Nov 9, 2011. CHLA\'s Whittier VPICU aims to provide a common information space for pediatric intensivists worldwide. However, there are many challenges in producing research data from clinical data sources. Apache OODT helps the VPICU meet those challenges, proving that the Apache toolset and community are invaluable resources.
The NGN Carrier Ethernet System: Technologies, Architecture and Deployment Mo...Cisco Canada
This presentation discusses market trends and its impact on Network infrastructure, Cisco carrier Ethernet Transport Architecture, Cisco carrier Ethernet portfolio and TCO Leadership.
Problems of Contemporary Communication Companies. Ways and Tools for Solving ...SSA KPI
AACIMP 2010 Summer School lecture. "Information Technologies" stream. "Problems of Contemporary Communication Companies. Ways and Tools for Solving Them" course.
More info at http://summerschool.ssa.org.ua
Core Network Optimization: The Control Plane, Data Plane & BeyondRadisys Corporation
This presentation takes you through the challenges network operators are facing as they bring in more and more bandwidth-intensive applications to their network. There are ways to optimize the network from the RAN to the Core -- and improve QoS.
Infosys - Automotive RFID Systems & Solutions | Supply ChainInfosys
Infosys RFID automotive systems and aerospace RFID solutions help automotive companies to better manage the uncertainties and associated changes in important factors like business requirements, KPIs, cost sharing models and technological advancements across partners
Convergence of digital information has been initiated a couple decades ago. Practically, almost all networks have now been utilising Internet Protocol. However, networks, applications, and contents managements vary by the nature of service types: IMS, SDP, IPTV, etc. Should another convergence be arranged to unify the management of the entire network for optimal results?
Value added service (VAS) provider failures: insights from VAS product companiesBrowne & Mohan
Dr TR Madan Mohan, Managing partner addressed Network of ICT Entrepreneurs and Enterprises (NITEE), under the aegis of Foundation for MSME Clusters (www.msmefoundation.org), New Delhi on 27th August 2010 regarding “Value added service (VAS) provider failures: insights from VAS product companies”.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
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.
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.
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.
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.
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/
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Elevating Tactical DDD Patterns Through Object Calisthenics
Vista-TV overview
1. Video Stream Analytics for Viewers
and the TV Industry
“Bootstrapping the
IPTV data economy”
Tuesday, 12 June 2012
2. Staring point
Observation:
• IPTV providers have extensive TV-
viewing data
• Rich compared to traditional rating agencies
⇒Potential of IPTV viewing data
⇒ Commercial: behavior data of viewers
⇒ Public / open-source: program data
http://vista-tv.eu 2
Tuesday, 12 June 2012
3. ViSTA-TV approach
Behavior
Data
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Engine
Metadata
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
4. ViSTA-TV approach
Behavior
Data
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream
Engine
Metadata
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
5. ViSTA-TV approach
Behavior
Data
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse
Engine
Metadata
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
6. ViSTA-TV approach
Behavior
Data
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse
Engine
Metadata
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
7. ViSTA-TV approach
Behavior
Behavior
data
Data
Providers
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse
Engine
Metadata
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
8. ViSTA-TV approach
Behavior
Behavior
data
Data
Providers
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse
Engine
Metadata
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
9. ViSTA-TV approach
Adver@sers Behavior
Behavior
data
Data
Providers
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse
Engine
Metadata
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
10. ViSTA-TV approach
Ra@ng
agencies
Adver@sers Behavior
Behavior
data
Data
Providers
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse
Engine
Metadata
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
11. ViSTA-TV approach
Ra@ng
agencies
Adver@sers Behavior
Behavior
data
Data
Providers
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse
Engine
Metadata
LOD
Cloud
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
12. ViSTA-TV approach
Ra@ng
agencies
Adver@sers Behavior
Behavior
data
Data
Providers
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse
Engine
Metadata
ata
LOD
Cloud
D
E xt.
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
13. ViSTA-TV approach
Ra@ng
agencies
Recommen-‐da@on
Engine
Adver@sers Behavior
Behavior
data
Data
Providers
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse Tag-‐Stream
Engine
Metadata
ata
LOD
Cloud
D
E xt.
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
14. ViSTA-TV approach
Ra@ng
agencies
Recommen-‐
da5ons Recommen-‐da@on
Engine
Adver@sers Behavior
Behavior
data
Data
Providers
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse Tag-‐Stream
Engine
Metadata
ata
LOD
Cloud
D
E xt.
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
15. ViSTA-TV approach
Ra@ng
agencies
Recommen-‐
da5ons Recommen-‐da@on
Engine
Adver@sers Behavior
Behavior
data
Data
Providers
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse Tag-‐Stream
Engine
Metadata
ata
LOD
Cloud
D
E xt.
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
16. ViSTA-TV approach
Ra@ng
agencies
Recommen-‐
Apps da5ons Recommen-‐da@on
Engine
Adver@sers Behavior
Behavior
data
Data
Providers
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse Tag-‐Stream
Engine
Metadata
ata
LOD
Cloud
D
E xt.
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
17. ViSTA-TV approach
Ra@ng
agencies Consumers
Recommen-‐
Apps da5ons Recommen-‐da@on
Engine
Adver@sers Behavior
Behavior
data
Data
Providers
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse Tag-‐Stream
Engine
Metadata
ata
LOD
Cloud
D
E xt.
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
18. ViSTA-TV approach
Ra@ng
agencies Consumers
Recommen-‐
Apps da5ons Recommen-‐da@on
Engine
Behavior
Data
Adver@sers Behavior
Behavior
data
Data
Providers
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse Tag-‐Stream
Engine
Metadata
ata
LOD
Cloud
D
E xt.
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012
19. ViSTA-TV approach
Ra@ng
agencies Consumers
Recommen-‐
Apps da5ons Recommen-‐da@on
Engine
Behavior
Data
Adver@sers Behavior
Behavior
data
Data
Providers
Content
Providers IPTV-‐Providers
Raw
Data Raw
Data Data
Enrichment
Tag-‐Stream Data
Warehouse Tag-‐Stream
Engine
Metadata
ata
LOD
Cloud
D
E xt.
Linked ViSTA-‐TV
OpenData Pla*orm
http://vista-tv.eu 3
Tuesday, 12 June 2012