TKI Dinalog en de Topsector Logistiek investeren in projecten die leiden tot robuuster plannen binnen de logistiek. Presentatie met interessante resultaten uit deze projecten die beter inzicht bieden op de mogelijkheden en de voordelen voor bedrijven. Ook nog veel werk te doen voor alle stakeholders.
Prime competence: Delivering the strategy - Innovationprimevision
On Tuesday 24 November, Mark Ryder gave a presentation on behalf of Prime Competence on "Delivering the strategy - Innovation" where he was talking about new initiatives in the postal industry.
Interested in finding out more?
Contact us at info@primecompetence.com
Digital Transformation Depends on Effective Implementation of Intelligent Sys...Aidrivers Ltd.
Most port operators recognise that digitalisation is going to transform the way ports work. But where to start on that journey?
Digital transformation can sound alarming and somewhat overwhelming to many! As with any ambitious task, this is a concept that needs to be broken down into manageable pieces.
GreenRoad presentation in the future of IoT, connected car and Shared Mobility. Driver Safety and Fleet Management are part of the future of Connected car, Shared Mobility and IoT.
Inter-modal Transport Data Sharing in Hong Kong: Use Case Development WorkshopTRPC Pte Ltd
The third phase of research for the Inter-Modal Transport Data-Sharing project was a workshop sponsored by Daimler Mobility, Via Transportation, Thales Transport & Security on use cases, policies and regulations, attended by 70 participants from 34 organisations around five tables followed by a plenary and hosted by HKU SPACE. Attendance was 100% and registrations had to close, a sure proof-of-concept for the relevance of data-sharing for the future development of sustainable mobility in Hong Kong. The focus on use cases came out of the fora held in May and June and demonstrates the progress being made as more stakeholders become involved.
Sustainable Last mile delivery- challenges & opportunities.pdfHamid Saeedi
Due to urbanization trends, and megacities, the main part of the last mile happens in urban areas. The cost of providing last-mile services accounts for around 40% of overall supply chain costs. This is more than double compared to any other operations, such as parceling or warehousing in a supply chain. It’s a challenge not just in terms of costs, but also in terms of environmental impact. Transportation in the last mile is accountable for around 25% of GHG emissions in urban areas, and it is expected a 32% jump in carbon emissions from urban delivery by 2030. Last-mile delivery is the most inefficient part of the supply chain, because of small order sizes, lack of consolidation, network conditions, short lead times, and many constantly changing and geographically dispersed locations.
A presentation on how technology will impact on the future of East Sussex. Why build more roads when self-drive vehicles are coming? How will 3D printing impact on local production? How will the world of work look and do we have the work spaces to accomodate it? What jobs will be replaced by technology, and where will the new jobs come from? Should we start preparing for 5G now?
This presentation was given to the Team East Sussex board in July 2017 (TES are part of the South East Local Enterprise Partnership - SELEP)
Overview of Supply Chain and Logistics Technology & Parcel SystemKunj Joshi 🎤
The presentation explains the modern supply chain technology and the parcel system. This presentation is just an overview of the upcoming trend in the Supply Chain Management field. The technology and the system discussed in the presentation is one of the best bounding and leading service ruling the supply chain area.
Integrated Transport Competition - In field solutions elevator pitches (2 of 3)KTN
These presentations are from delegates at the networking and briefing event for the Technology Strategy Board's Integrated Transport in-field solutions competition. This event was held in Coventry on 17th Oct 2013. The competition is open until 29th November 2013. This set of presentations is one of 3 from the day, and comprises 2 minute pitches from:
Andrew Baxter: Oxford Brookes University
Damaris Homo: Connecthings
Charles Curry: Chronos Technology Ltd
Mark Robinson: Transfaction
Arne Strauss: Warwick Business School
Tim Taberner: Eurotech
Marcus Ambler: MFAtech Ltd/Thetis SpA
Nichola Harrison: Transport Future
Prime competence: Delivering the strategy - Innovationprimevision
On Tuesday 24 November, Mark Ryder gave a presentation on behalf of Prime Competence on "Delivering the strategy - Innovation" where he was talking about new initiatives in the postal industry.
Interested in finding out more?
Contact us at info@primecompetence.com
Digital Transformation Depends on Effective Implementation of Intelligent Sys...Aidrivers Ltd.
Most port operators recognise that digitalisation is going to transform the way ports work. But where to start on that journey?
Digital transformation can sound alarming and somewhat overwhelming to many! As with any ambitious task, this is a concept that needs to be broken down into manageable pieces.
GreenRoad presentation in the future of IoT, connected car and Shared Mobility. Driver Safety and Fleet Management are part of the future of Connected car, Shared Mobility and IoT.
Inter-modal Transport Data Sharing in Hong Kong: Use Case Development WorkshopTRPC Pte Ltd
The third phase of research for the Inter-Modal Transport Data-Sharing project was a workshop sponsored by Daimler Mobility, Via Transportation, Thales Transport & Security on use cases, policies and regulations, attended by 70 participants from 34 organisations around five tables followed by a plenary and hosted by HKU SPACE. Attendance was 100% and registrations had to close, a sure proof-of-concept for the relevance of data-sharing for the future development of sustainable mobility in Hong Kong. The focus on use cases came out of the fora held in May and June and demonstrates the progress being made as more stakeholders become involved.
Sustainable Last mile delivery- challenges & opportunities.pdfHamid Saeedi
Due to urbanization trends, and megacities, the main part of the last mile happens in urban areas. The cost of providing last-mile services accounts for around 40% of overall supply chain costs. This is more than double compared to any other operations, such as parceling or warehousing in a supply chain. It’s a challenge not just in terms of costs, but also in terms of environmental impact. Transportation in the last mile is accountable for around 25% of GHG emissions in urban areas, and it is expected a 32% jump in carbon emissions from urban delivery by 2030. Last-mile delivery is the most inefficient part of the supply chain, because of small order sizes, lack of consolidation, network conditions, short lead times, and many constantly changing and geographically dispersed locations.
A presentation on how technology will impact on the future of East Sussex. Why build more roads when self-drive vehicles are coming? How will 3D printing impact on local production? How will the world of work look and do we have the work spaces to accomodate it? What jobs will be replaced by technology, and where will the new jobs come from? Should we start preparing for 5G now?
This presentation was given to the Team East Sussex board in July 2017 (TES are part of the South East Local Enterprise Partnership - SELEP)
Overview of Supply Chain and Logistics Technology & Parcel SystemKunj Joshi 🎤
The presentation explains the modern supply chain technology and the parcel system. This presentation is just an overview of the upcoming trend in the Supply Chain Management field. The technology and the system discussed in the presentation is one of the best bounding and leading service ruling the supply chain area.
Integrated Transport Competition - In field solutions elevator pitches (2 of 3)KTN
These presentations are from delegates at the networking and briefing event for the Technology Strategy Board's Integrated Transport in-field solutions competition. This event was held in Coventry on 17th Oct 2013. The competition is open until 29th November 2013. This set of presentations is one of 3 from the day, and comprises 2 minute pitches from:
Andrew Baxter: Oxford Brookes University
Damaris Homo: Connecthings
Charles Curry: Chronos Technology Ltd
Mark Robinson: Transfaction
Arne Strauss: Warwick Business School
Tim Taberner: Eurotech
Marcus Ambler: MFAtech Ltd/Thetis SpA
Nichola Harrison: Transport Future
Similar to Logistiek manager van het Jaar - sessie Robuust Plannen (20)
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Show drafts
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
3. Introductie
Grensoverschrijdend
Vandaag de dag is grensoverschrijdend de norm: in techniek, in organisatie en
mens.
De moeilijkheid zit in het bewaren van een evenwichtige balans tussen deze drie
grootheden. Dikwijls werken modernistische systemen niet doordat mens en
organisatie onvoldoende toegerust zijn om hier effectief mee om te gaan. Of
worden goedbedoelde organisatiewijzingen een fiasco vanwege gebrek aan
ondersteunende techniek en participerende mens.
De mens is vaak een doorslaggevende factor, maar zeker in deze
grensoverschrijdende wereld komt die factor mens onder druk te staan.
Nieuwe rollen vragen om nieuwe kennis, een andere houding en ander gedrag. En
dat is zeker binnen het logistieke domein niet eenvoudig te realiseren.
Flexibiliteit, aanpassingsvermogen, veranderingsgezindheid, omgaan met nieuwe
normen en waarden, en ethische kaders
4. Robuust Plannen
Gedeeld maatschappelijk en bedrijfseconomisch belang
Slack uit het netwerk halen
Uiteindelijk slim gebruik maken van capaciteit (infra en transport)
Vergt slimme toepassing van technologie
Maar ook samenwerking
En de mens die het doet
5. Robuust Plannen
Projecten in Topsector Logistiek gericht op de technologie
Slim gebruik maken meerdere databronnen
DAIPEX / SAILOR / ITSLOG / SDFI / …..
Maar meer en meer ook de verandering van organisaties en
de rol van de mens
Planning and human decision-making for the unpredictable
Increasing the usability, adoption, and acceptance of
advanced planning and scheduling systems
9. 80% of truck drivers time today is within
city boundaries
60% of truck drivers time is in walking
and delivery in cities
Current planning systems lead to 40 to
50% slack in city logistics networks
One out of two cars on Amsterdam’s
main roads are delayed because of
unloading on the streets
Inefficient use of loading and unloading
zones (and buffer locations)
Congestion and road unsafety
10.
11. Local government
Inefficient use of loading and unloading
zones
Many tools are developed to support
local government in planning
(but no standard approach yet)
Tools needed for tactical data analysis,
intelligent access and enforcement
Tools needed for improving local traffic
data accuracy
12. ITSLOG project
SAILOR AMSTERDAM
SPARKS ROTTERDAM
TENDERS AMSTERDAM
Progress April 2018
Technology is reading
Test partner DHL
Cost of solution is too high
New technology necessary
Start at Overtoom Amsterdam
after tender phase
17. ITSLOG project Progress March 2018
1. Analysis of Ahold planning’s methods (CWI)
2. Data analysis Ahold planning (TU Delft)
3. Software and platform development – tested and working
4. Testing functionality (not in truck yet)
5. Buffering not necessary based on trucks in Simacan CT
6. Human factor: too many apps, too much information
7. ITS/TMS not available of the shelf
18. ITSLOG project Progress March 2018
1. Technical complexities: linking data, real time data and frequencies
2. Local government role in finding buffer locations
3. Further role out only feasible if all trucks are in Simacan CT
(potentially for more retailers using buffer zones)
4. More information necessary on illegal parking on unloading zones
(enforcement)
5. Human factor (in car) is critical
6. Application can be used for other distribution networks with
loading/unloading docks and bays
7. Discussion with TLN and EVOfenedex (also about governance)
19. Need for address intelligence for operational,
tactical and strategic planning
Current planning systems lead to 40 to
50% slack in city logistics networks
LSP’s and shippers
Planning of driving, walking and delivery
(time!)
How can data support operational,
tactical and strategic planning
Planning from minutes to seconds
Use actual traffic data: speed, road blocks,
unloading zones, iVRIs
Human factor and in car technology
20. Need for address intelligence for operational,
tactical and strategic planning
Planning of driving, walking and delivery
(time!)
Planning from minutes to seconds
Use actual traffic data: speed, road blocks,
unloading zones, iVRIs
Human factor and in car technology
21. IT service
Providers
and OEM’s
Need for address intelligence for operational,
tactical and strategic planning
Planning of driving, walking and delivery
(time!)
Planning from minutes to seconds
Use actual traffic data: speed, road blocks,
unloading zones, iVRIs
Human factor and in car technology
Local ITS systems
(Connekt)
European standards
NLIP/Security/Blockchain
23. Roadmap – main themes
Meer optimale routeplanning (project scope)
Betere voorspelling op basis van interne en externe databronnen
Uitwisseling stops op basis van real-time status ritten
Matchen lading en voertuigen die in verschillende ketens zijn
Matchen verschillende condities lading in meerdere ketens
Algoritmes ontwikkeld om veelheid aan mogelijkheden snel door te rekenen
en meest optimale keuze te presenteren aan de planner
35. Hoe ziet u de toepassing?
Welk probleem zijn we aan het oplossen?
Wie heeft het probleem eigenlijk?
Welke toepassingen zijn denkbaar?
Wat betekent het voor uw organisatie en uw mensen?
Bent u bereid te investeren?
Vraagsturing!