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Autres articles (55)
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MediaSPIP en mode privé (Intranet)
17 septembre 2013, parÀ partir de la version 0.3, un canal de MediaSPIP peut devenir privé, bloqué à toute personne non identifiée grâce au plugin "Intranet/extranet".
Le plugin Intranet/extranet, lorsqu’il est activé, permet de bloquer l’accès au canal à tout visiteur non identifié, l’empêchant d’accéder au contenu en le redirigeant systématiquement vers le formulaire d’identification.
Ce système peut être particulièrement utile pour certaines utilisations comme : Atelier de travail avec des enfants dont le contenu ne doit pas (...) -
Formulaire personnalisable
21 juin 2013, parCette page présente les champs disponibles dans le formulaire de publication d’un média et il indique les différents champs qu’on peut ajouter. Formulaire de création d’un Media
Dans le cas d’un document de type média, les champs proposés par défaut sont : Texte Activer/Désactiver le forum ( on peut désactiver l’invite au commentaire pour chaque article ) Licence Ajout/suppression d’auteurs Tags
On peut modifier ce formulaire dans la partie :
Administration > Configuration des masques de formulaire. (...) -
Le plugin : Podcasts.
14 juillet 2010, parLe problème du podcasting est à nouveau un problème révélateur de la normalisation des transports de données sur Internet.
Deux formats intéressants existent : Celui développé par Apple, très axé sur l’utilisation d’iTunes dont la SPEC est ici ; Le format "Media RSS Module" qui est plus "libre" notamment soutenu par Yahoo et le logiciel Miro ;
Types de fichiers supportés dans les flux
Le format d’Apple n’autorise que les formats suivants dans ses flux : .mp3 audio/mpeg .m4a audio/x-m4a .mp4 (...)
Sur d’autres sites (6762)
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Revision 34710 : Amélioration de la fonction d’installation ... très chouette en SPIP 2.1 ...
24 janvier 2010, par kent1@… — LogAmélioration de la fonction d’installation ... très chouette en SPIP 2.1 (bis ...)
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How HSBC and ING are transforming banking with AI
9 novembre 2024, par Daniel Crough — Banking and Financial Services, Featured Banking ContentWe recently partnered with FinTech Futures to produce an exciting webinar discussing how analytics leaders from two global banks are using AI to protect customers, streamline operations, and support environmental goals.
Watch the on-demand webinar : Advancing analytics maturity.
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</script>Meet the expert panel
Roshini Johri heads ESG Analytics at HSBC, where she leads AI and remote sensing applications supporting the bank’s net zero goals. Her expertise spans climate tech and financial services, with a focus on scalable analytics solutions.
Marco Li Mandri leads Advanced Analytics Strategy at ING, where he focuses on delivering high-impact solutions and strengthening analytics foundations. His background combines analytics, KYC operations, and AI strategy.
Carmen Soini Tourres works as a Web Analyst Consultant at Matomo, helping financial organisations optimise their digital presence whilst maintaining privacy compliance.Key findings from the webinar
The discussion highlighted four essential elements for advancing analytics capabilities :
1. Strong data foundations matter most
“It doesn’t matter how good the AI model is. It is garbage in, garbage out,”
Johri explained. Banks need robust data governance that works across different regulatory environments.
2. Transform rather than tweak
Li Mandri emphasised the need to reconsider entire processes :
“We try to look at the banking domain and processes and try to re-imagine how they should be done with AI.”
3. Bridge technical and business understanding
Both leaders stressed the value of analytics translators who understand both technology and business needs.
“We’re investing in this layer we call product leads,”
Li Mandri explained. These roles combine technical knowledge with business acumen – a rare but vital skill set.
4. Consider production costs early
Moving from proof-of-concept to production requires careful planning. As Johri noted :
“The scale of doing things in production is quite massive and often doesn’t get accounted for in the cost.”
This includes :
- Ongoing monitoring requirements
- Maintenance needs
- Regulatory compliance checks
- Regular model updates
Real-world applications
ING’s approach demonstrates how banks can transform their operations through thoughtful AI implementation. Li Mandri shared several areas where the bank has successfully deployed analytics solutions, each benefiting both the bank and its customers.
Customer experience enhancement
The bank’s implementation of AI-powered instant loan processing shows how analytics can transform traditional banking.
“We know AI can make loans instant for the customer, that’s great. Clicking one button and adding a loan, that really changes things,”
Li Mandri explained. This goes beyond automation – it represents a fundamental shift in how banks serve their customers.
The system analyses customer data to make rapid lending decisions while maintaining strong risk assessment standards. For customers, this means no more lengthy waiting periods or complex applications. For the bank, it means more efficient resource use and better risk management.
The bank also uses AI to personalise customer communications.
“We’re using that to make certain campaigns more personalised, having a certain tone of voice,”
noted Li Mandri. This particularly resonates with younger customers who expect relevant, personalised interactions from their bank.
Operational efficiency transformation
ING’s approach to Know Your Customer (KYC) processes shows how AI can transform resource-heavy operations.
“KYC is a big area of cost for the bank. So we see massive value there, a lot of scale,”
Li Mandri explained. The bank developed an AI-powered system that :
- Automates document verification
- Flags potential compliance issues for human review
- Maintains consistent standards across jurisdictions
- Reduces processing time while improving accuracy
This implementation required careful consideration of regulations across different markets. The bank developed monitoring systems to ensure their AI models maintain high accuracy while meeting compliance standards.
In the back office, ING uses AI to extract and process data from various documents, significantly reducing manual work. This automation lets staff focus on complex tasks requiring human judgment.
Sustainable finance initiatives
ING’s commitment to sustainable banking has driven innovative uses of AI in environmental assessment.
“We have this ambition to be a sustainable bank. If you want to be a sustainable finance customer, that requires a lot of work to understand who the company is, always comparing against its peers.”
The bank developed AI models that :
- Analyse company sustainability metrics
- Compare environmental performance against industry benchmarks
- Assess transition plans for high-emission industries
- Monitor ongoing compliance with sustainability commitments
This system helps staff evaluate the environmental impact of potential deals quickly and accurately.
“We are using AI there to help our frontline process customers to see how green that deal might be and then use that as a decision point,”
Li Mandri noted.
HSBC’s innovative approach
Under Johri’s leadership, HSBC has developed several groundbreaking uses of AI and analytics, particularly in environmental monitoring and operational efficiency. Their work shows how banks can use advanced technology to address complex global challenges while meeting regulatory requirements.
Environmental monitoring through advanced technology
HSBC uses computer vision and satellite imagery analysis to measure environmental impact with new precision.
“This is another big research area where we look at satellite images and we do what is called remote sensing, which is the study of a remote area,”
Johri explained.
The system provides several key capabilities :
- Analysis of forest coverage and deforestation rates
- Assessment of biodiversity impact in specific regions
- Monitoring of environmental changes over time
- Measurement of environmental risk in lending portfolios
“We can look at distant images of forest areas and understand how much percentage deforestation is being caused in that area, and we can then measure our biodiversity impact more accurately,”
Johri noted. This technology enables HSBC to :
- Make informed lending decisions
- Monitor environmental commitments of borrowers
- Support sustainability-linked lending programmes
- Provide accurate environmental impact reporting
Transforming document analysis
HSBC is tackling one of banking’s most time-consuming challenges : processing vast amounts of documentation.
“Can we reduce the onus of human having to go and read 200 pages of sustainability reports each time to extract answers ?”
Johri asked. Their solution combines several AI technologies to make this process more efficient while maintaining accuracy.
The bank’s approach includes :
- Natural language processing to understand complex documents
- Machine learning models to extract relevant information
- Validation systems to ensure accuracy
- Integration with existing compliance frameworks
“We’re exploring solutions to improve our reporting, but we need to do it in a safe, robust and transparent way.”
This careful balance between efficiency and accuracy exemplifies HSBC’s approach to AI.
Building future-ready analytics capabilities
Both banks emphasise that successful analytics requires a comprehensive, long-term approach. Their experiences highlight several critical considerations for financial institutions looking to advance their analytics capabilities.
Developing clear governance frameworks
“Understanding your AI risk appetite is crucial because banking is a highly regulated environment,”
Johri emphasised. Banks need to establish governance structures that :
- Define acceptable uses for AI
- Establish monitoring and control mechanisms
- Ensure compliance with evolving regulations
- Maintain transparency in AI decision-making
Creating solutions that scale
Li Mandri stressed the importance of building systems that grow with the organisation :
“When you try to prototype a model, you have to take care about the data safety, ethical consideration, you have to identify a way to monitor that model. You need model standard governance.”
Successful scaling requires :
- Standard approaches to model development
- Clear evaluation frameworks
- Simple processes for model updates
- Strong monitoring systems
- Regular performance reviews
Investing in people and skills
Both leaders highlighted how important skilled people are to analytics success.
“Having a good hiring strategy as well as creating that data literacy is really important,”
Johri noted. Banks need to :
- Develop comprehensive training programmes
- Create clear career paths for analytics professionals
- Foster collaboration between technical and business teams
- Build internal expertise in emerging technologies
Planning for the future
Looking ahead, both banks are preparing for increased regulation and growing demands for transparency. Key focus areas include :
- Adapting to new privacy regulations
- Making AI decisions more explainable
- Improving data quality and governance
- Strengthening cybersecurity measures
Practical steps for financial institutions
The experiences shared by HSBC and ING provide valuable insights for financial institutions at any stage of their analytics journey. Their successes and challenges outline a clear path forward.
Key steps for success
Financial institutions looking to enhance their analytics capabilities should :
- Start with strong foundations
- Invest in clear data governance frameworks
- Set data quality standards
- Build thorough documentation processes
- Create transparent data tracking
- Think strategically about AI implementation
- Focus on transformative rather than small changes
- Consider the full costs of AI projects
- Build solutions that can grow
- Balance innovation with risk management
- Invest in people and processes
- Develop internal analytics expertise
- Create clear paths for career growth
- Foster collaboration between technical and business teams
- Build a culture of data literacy
- Plan for scale
- Establish monitoring systems
- Create governance frameworks
- Develop standard approaches to model development
- Stay flexible for future regulatory changes
Learn more
Want to hear more insights from these industry leaders ? Watch the complete webinar recording on demand. You’ll learn :
- Detailed technical insights from both banks
- Extended Q&A with the speakers
- Additional case studies and examples
- Practical implementation advice
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Watch the on-demand webinar : Advancing analytics maturity.
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</script> -
xdotool to tab to a button on a web page and use the mouse to disable a drop down menu option
25 juin 2023, par MashI have a Bash script that open a Amazon chime meeting URL in firefox, uses XDOtool to enter a meetig participant name, and tab and mouse click functions. and next uses ffmpeg to stream the video and audio output of the Amazon chime meeting to an RTMP destination.


When this is streamed, the Amazon chime web app has "More" drop down Menu. Within the Menu it has a option to disable the self view. I want to add xdotool commands to disable this self view option from the more drop down menu on the amazon chime web app page.


the Amazon chime meeting URL is - https://app.chime.aws/meetings/


Here is the Bash Script


#!/bin/bash
BROWSER_URL=${MEETING_URL}
SCREEN_WIDTH=1920
SCREEN_HEIGHT=1080
SCREEN_RESOLUTION=${SCREEN_WIDTH}x${SCREEN_HEIGHT}
CAPTURE_SCREEN_RESOLUTION=1920x1080
COLOR_DEPTH=24
X_SERVER_NUM=2
VIDEO_BITRATE=6000
VIDEO_FRAMERATE=30
VIDEO_GOP=$((VIDEO_FRAMERATE * 2))
AUDIO_BITRATE=160k
AUDIO_SAMPLERATE=44100
AUDIO_CHANNELS=2

# Start PulseAudio server so Firefox will have somewhere to which to send audio
pulseaudio -D --exit-idle-time=-1
pacmd load-module module-virtual-sink sink_name=v1 # Load a virtual sink as `v1`
pacmd set-default-sink v1 # Set the `v1` as the default sink device
pacmd set-default-source v1.monitor # Set the monitor of the v1 sink to be the default source

# Start X11 virtual framebuffer so Firefox will have somewhere to draw
Xvfb :${X_SERVER_NUM} -ac -screen 0 ${SCREEN_RESOLUTION}x${COLOR_DEPTH} > /dev/null 2>&1 &
export DISPLAY=:${X_SERVER_NUM}.0
sleep 0.5 # Ensure this has started before moving on

# Create a new Firefox profile for capturing preferences for this
firefox --no-remote --new-instance --createprofile "foo4 /tmp/foo4"

# Install the OpenH264 plugin for Firefox
mkdir -p /tmp/foo4/gmp-gmpopenh264/1.8.1.1/
pushd /tmp/foo4/gmp-gmpopenh264/1.8.1.1 >& /dev/null
curl -s -O http://ciscobinary.openh264.org/openh264-linux64-2e1774ab6dc6c43debb0b5b628bdf122a391d521.zip
unzip openh264-linux64-2e1774ab6dc6c43debb0b5b628bdf122a391d521.zip
rm -f openh264-linux64-2e1774ab6dc6c43debb0b5b628bdf122a391d521.zip
popd >& /dev/null

# Set the Firefox preferences to enable automatic media playing with no user
# interaction and the use of the OpenH264 plugin.
cat <<eof>> /tmp/foo4/prefs.js
user_pref("media.autoplay.default", 0);
user_pref("media.autoplay.enabled.user-gestures-needed", false);
user_pref("media.navigator.permission.disabled", true);
user_pref("media.gmp-gmpopenh264.abi", "x86_64-gcc3");
user_pref("media.gmp-gmpopenh264.lastUpdate", 1571534329);
user_pref("media.gmp-gmpopenh264.version", "1.8.1.1");
user_pref("doh-rollout.doorhanger-shown", true);
EOF

# Start Firefox browser and point it at the URL we want to capture
#
# NB: The `--width` and `--height` arguments have to be very early in the
# argument list or else only a white screen will result in the capture for some
# reason.
firefox \
 -P foo4 \
 --width ${SCREEN_WIDTH} \
 --height ${SCREEN_HEIGHT} \
 --new-instance \
 --first-startup \
 --foreground \
 --kiosk \
 --ssb \
 "${BROWSER_URL}" \
 &
sleep 10 # Ensure this has started before moving on, waiting for loading the Chime web app
xdotool key Return #Select yes for the pop-up window of "Would you like to open this link with Chime app?"
sleep 3
xdotool key Escape #Close the pop-up window
sleep 3
xdotool type Livestream #Type "Livestream" on the name input field
sleep 3
xdotool key Tab #Move to "join the meeting" button
sleep 3
xdotool key Return #Click "join the meeting" button
sleep 3
xdotool key Return #Close the pop-up window once again
sleep 3
xdotool key Escape #Close the pop-up window once again
sleep 3
xdotool key Return #Click "Use system audio" setting
sleep 3
xdotool key Escape #Close warning message
sleep 3
xdotool mousemove 1 1 click 1 # Move mouse out of the way so it doesn't trigger the "pause" overlay on the video tile 

# Start ffmpeg to transcode the capture from the X11 framebuffer and the
# PulseAudio virtual sound device we created earlier and send that to the RTMP
# endpoint in H.264/AAC format using a FLV container format.
#
# NB: These arguments have a very specific order. Seemingly inocuous changes in
# argument order can have pretty drastic effects, so be careful when
# adding/removing/reordering arguments here.
ffmpeg \
 -hide_banner -loglevel error \
 -nostdin \
 -s ${CAPTURE_SCREEN_RESOLUTION} \
 -r ${VIDEO_FRAMERATE} \
 -draw_mouse 0 \
 -f x11grab \
 -i ${DISPLAY} \
 -f pulse \
 -ac 2 \
 -i default \
 -vf "crop=1600:980:0:1080" \
 -c:v libx264 \
 -pix_fmt yuv420p \
 -profile:v main \
 -preset slow \
 -x264opts "nal-hrd=cbr:no-scenecut" \
 -minrate ${VIDEO_BITRATE} \
 -maxrate ${VIDEO_BITRATE} \
 -g ${VIDEO_GOP} \
 -filter_complex "aresample=async=1000:min_hard_comp=0.100000:first_pts=1" \
 -async 1 \
 -c:a aac \
 -b:a ${AUDIO_BITRATE} \
 -ac ${AUDIO_CHANNELS} \
 -ar ${AUDIO_SAMPLERATE} \
 -f flv ${RTMP_URL}``

</eof>

what i have tried so far in in the bash script


Syndiquer tout le site
