Top restaurant technology Franchisor leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, Digital Ordering (takeout and catering), Digital loyalty/CRM/Analytics, and hardware deployment/maintenance services.
Top restaurant technology Table-Service leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, Digital Ordering (takeout and catering), Digital loyalty/CRM/Analytics, and hardware deployment/maintenance services.
Top restaurant technology Pizza-Service leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, Digital Ordering (takeout and catering), Digital loyalty/CRM/Analytics, and hardware deployment/maintenance services.
Grid Decision's quarterly quick-service technology leaderboards for Q1 of 2019. Includes leaderboards for Point of Sale (POS), Back of House (BOH) labor and inventory, digital ordering - takeout and catering, digital loyalty/CRM/analytics, and hardware services (deployment and maintenance).
Top restaurant technology Fast-Casual leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, Digital Ordering (takeout and catering), Digital loyalty/CRM/Analytics, and hardware deployment/maintenance services.
Top restaurant technology Multi-Brand leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, Digital Ordering (takeout and catering), Digital loyalty/CRM/Analytics, and hardware deployment/maintenance services.
Top restaurant technology SMB leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, Digital Ordering (takeout and catering), Digital loyalty/CRM/Analytics, and hardware deployment/maintenance services.
Top restaurant technology (solution-only) leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, Digital Ordering (takeout and catering), Digital loyalty/CRM/Analytics, and hardware deployment/maintenance services.
Hotel Technology Resorts Leaderboards - 2019-Q1 | Grid DecisionAllen Eskelin
Top hotel technology Resorts leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, and hardware deployment/maintenance services.
Top restaurant technology Table-Service leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, Digital Ordering (takeout and catering), Digital loyalty/CRM/Analytics, and hardware deployment/maintenance services.
Top restaurant technology Pizza-Service leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, Digital Ordering (takeout and catering), Digital loyalty/CRM/Analytics, and hardware deployment/maintenance services.
Grid Decision's quarterly quick-service technology leaderboards for Q1 of 2019. Includes leaderboards for Point of Sale (POS), Back of House (BOH) labor and inventory, digital ordering - takeout and catering, digital loyalty/CRM/analytics, and hardware services (deployment and maintenance).
Top restaurant technology Fast-Casual leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, Digital Ordering (takeout and catering), Digital loyalty/CRM/Analytics, and hardware deployment/maintenance services.
Top restaurant technology Multi-Brand leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, Digital Ordering (takeout and catering), Digital loyalty/CRM/Analytics, and hardware deployment/maintenance services.
Top restaurant technology SMB leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, Digital Ordering (takeout and catering), Digital loyalty/CRM/Analytics, and hardware deployment/maintenance services.
Top restaurant technology (solution-only) leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, Digital Ordering (takeout and catering), Digital loyalty/CRM/Analytics, and hardware deployment/maintenance services.
Hotel Technology Resorts Leaderboards - 2019-Q1 | Grid DecisionAllen Eskelin
Top hotel technology Resorts leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, and hardware deployment/maintenance services.
Top retail technology Specialty Retail leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, and hardware deployment/maintenance services.
Discount Store Technology Leaderboards - 2019-Q1 | Grid DecisionAllen Eskelin
Top retail technology Discount Store leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, and hardware deployment/maintenance services.
Top retail technology Big Box Retail leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, and hardware deployment/maintenance services.
Top retail technology Convenience Store leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, and hardware deployment/maintenance services.
Department Store Technology Leaderboards - 2019-Q1 | Grid DecisionAllen Eskelin
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Utah Broadband Project, Draft Summary Stats Aug '11Bert Granberg
DRAFT Utah Broadband Service Demographic Statistical Summary as presented to the Utah Broadband Advisory Council, August 18, 2011
Process Description*:
1) 2010 Census Block boundaries were adjusted to remove blocks with no population and to trim out large unpopulated portions of individual populated blocks
2) Where the populated blocks and trimmed blocks were contained within a Utah county, they were assigned to that county
3) Where the populated blocks and trimmed blocks were contained within an incorporated municipality, they were assigned to that city
4) Where the populated blocks and trimmed blocks were contained within a named unincorporated place, they were assigned to that unicorporated place
5) Where a individual block interesected a provider's service area, the entire block was considered served by the provider's service.
6) Housing unit counts, from the 2010 census were assigned to the service metrics for each block based on the speed and technology available to that block
*spatial analysis was performed using a custom VBA script in ArcMap 10.0
The precision of the results obtained from geographic analysis is governed by the resolution of the coarsest input map data layer.
As the estimated broadband service areas obtained by the project are depicted at the census block and road segment level, there is inheirent inprecision to these statistics.
The input data used for this analysis is hoped to be the best available but still may also be incorrect or incomplete.
The process design and implementation used to calculate these statistics remains in draft status.
Encuesta a niños y adolescentes sobre la radio y televisión peruana 2014 | Po...Andrinik Huaytalla Ramos
Encuesta realizada por el Consejo Consultivo de Radio y Televisión (Concortv) a niños y adolescentes sobre la radio y televisión peruana 2014. Encuesta por ciudades.
Educación Mediática ► http://www.mundoacesp.org/
Top retail technology (solution-only) leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, and hardware deployment/maintenance services.
Hotel Technology (solution-only) Leaderboards - 2019-Q1 | Grid DecisionAllen Eskelin
Top hotel technology (solution-only) leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, and hardware deployment/maintenance services.
Hotel Technology SMB Leaderboards - 2019-Q1 | Grid DecisionAllen Eskelin
Top hotel technology SMB leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, and hardware deployment/maintenance services.
Hotel Technology Independent Hotel Leaderboards - 2019-Q1 | Grid DecisionAllen Eskelin
Top hotel technology Independent Hotels leaderboards for Point of Sale (POS), Back of House (BOH) inventory and labor scheduling, and hardware deployment/maintenance services.
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Utah Broadband Project, Draft Summary Stats Aug '11Bert Granberg
DRAFT Utah Broadband Service Demographic Statistical Summary as presented to the Utah Broadband Advisory Council, August 18, 2011
Process Description*:
1) 2010 Census Block boundaries were adjusted to remove blocks with no population and to trim out large unpopulated portions of individual populated blocks
2) Where the populated blocks and trimmed blocks were contained within a Utah county, they were assigned to that county
3) Where the populated blocks and trimmed blocks were contained within an incorporated municipality, they were assigned to that city
4) Where the populated blocks and trimmed blocks were contained within a named unincorporated place, they were assigned to that unicorporated place
5) Where a individual block interesected a provider's service area, the entire block was considered served by the provider's service.
6) Housing unit counts, from the 2010 census were assigned to the service metrics for each block based on the speed and technology available to that block
*spatial analysis was performed using a custom VBA script in ArcMap 10.0
The precision of the results obtained from geographic analysis is governed by the resolution of the coarsest input map data layer.
As the estimated broadband service areas obtained by the project are depicted at the census block and road segment level, there is inheirent inprecision to these statistics.
The input data used for this analysis is hoped to be the best available but still may also be incorrect or incomplete.
The process design and implementation used to calculate these statistics remains in draft status.
Encuesta a niños y adolescentes sobre la radio y televisión peruana 2014 | Po...Andrinik Huaytalla Ramos
Encuesta realizada por el Consejo Consultivo de Radio y Televisión (Concortv) a niños y adolescentes sobre la radio y televisión peruana 2014. Encuesta por ciudades.
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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.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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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/
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Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
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People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
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Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
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Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
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• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
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My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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Paper: https://eprint.iacr.org/2023/1886
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