This document provides details on upcoming metro rail projects in various Indian cities, including project length, estimated costs, specifications, and status. Some of the major projects listed are the metro systems for Bangalore Phase 2 (72.1 km), Chandigarh (37.5 km), Mumbai Phase 3 (43.2 km), Kochi (25.6 km), Pune (82 km), Lucknow (37.6 km), Kanpur (84 km), Patna (102 km), Bhopal (38.5 km), Surat (100 km), and Guwahati (44.2 km). Most projects are approved and at various stages of development, with implementing agencies like BMRCL, CM
For more information, see http://scarboroughsubwayextension.ca
Do not include any personal information as all posted material on this site is considered to be part of a public record as defined by section 27 of the Municipal Freedom of Information and Protection of Privacy Act.
We reserve the right to remove inappropriate comments. Please see Terms of Use for City of Toronto Social Media Sites at http://www.toronto.ca/e-updates/termsofuse.htm.
For more information, see http://scarboroughsubwayextension.ca
Do not include any personal information as all posted material on this site is considered to be part of a public record as defined by section 27 of the Municipal Freedom of Information and Protection of Privacy Act.
We reserve the right to remove inappropriate comments. Please see Terms of Use for City of Toronto Social Media Sites at http://www.toronto.ca/e-updates/termsofuse.htm.
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
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.
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.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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!
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/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Metros summary by Kartikeya Pandey
1. | 1
Name Km Total
Value (in
Crore Rs)
Realized
value (In
Crore Rs)
Specifications Status
Bangalore
Phase - 2
72.1 26405 Track –
639.527
Traction
– 974.79
Gauge – Standard
Traction – OHE
Stations - 61
• Approved By Cabinet
• Implementing Body -
BMRCL
Chandigarh 37.5 DPR-
8253
Track –
339.03
Traction -
508.44
Gauge – Standard
Traction – OHE
Stations – 30 (19
Ele, 11UG)
• Approved
Implementing Body –
CMRC
• Funding – Centre,
Chandigarh , Punjab &
Haryana Govt
Mumbai
Phase - 3
43.2 N/A Track -
383.18
Traction -
584.064
Gauge – Standard
Traction – OHE
To Be Announced/
Approved
Strategic Initiatives – Railways SBG
Upcoming Metro Projects Summary
2. | 2
Name Km Total
Value (in
Crore Rs)
Realized
value (In
Crore Rs)
Specifications Status
Kochi 25.6 3733 Track –
227.14
Traction
– 345.99
Gauge – Standard
Traction - 3 Rail
Stations - 22
• Approved
• Implementing Body –
KMRL
• Tenders being allotted
Pune 82 10183
(Approx)
Track –
727.34
Traction
– 1082.4
Gauge – Standard
Traction – OHE
Stations - 60
• Approved by Cabinet
• Implementing body –
N/A
• SPV –State, Centre &
Civil body
MEGA -2 32 N/A Track -
283.84
Traction -
422.4
Gauge – Standard
Traction - 3 Rail
Stations - 49
Approved by Cabinet
Implementing body -
MEGA
3. | 3
Name Km Total
Value (in
Crore Rs)
Realized
value (In
Crore Rs)
Specifications Status
Lucknow 37.6 13163 Track -
362.42
Traction
– 562.72
Gauge – standard
Traction – OHE
Stations – 36 (13
UG 23 Ele)
• Status – Approved
• Implementing Body –
LMRC
• Funding 50:50 (Centre
& state) & JICA
interested
Ludhiana 28.9 8705 Track -
299.45
Traction
448.96
Gauge – Standard
Traction – 3 Rail
Stations – 27(7
UG, 20 Ele)
Status – Approved
Implementing body –
N/A
Nagpur 39.8 9007 Track –
353.026
Traction
– 525.36
Gauge - Standard
Stations – 37
Traction - OHE
Status – Approved
Implementing Body –
Nagpur Improvement
Trust
4. | 4
Name Km Total
Value (in
Crore Rs)
Realized
value (In
Crore Rs)
Specifications Status
Kanpur 84 6500 Track –
745.08
Traction
– 1108.8
Gauge - Standard
Stations – 28
Traction - OHE
Status – In progress
Implementing Body –
N/A
Indore 33.3 8500 Track –
295.371
Traction -
439.56
Gauge - Standard
Stations – 32
Traction - OHE
Status – In progress
Implementing Body –
N/A
Patna 102 9000 Track –
904.74
Traction
– 1346.4
Gauge - Standard
Stations – 26
Traction - OHE
Status – In progress
Implementing Body –
N/A
DPR being Chalked
out
5. | 5
Name Km Total
Value (in
Crore Rs)
Realized
value (In
Crore Rs)
Specifications Status
Bhopal 38.5 8000 Track –
341.495
Traction
– 508.2
Gauge - Standard
Stations – 28
Traction - OHE
Status – In progress
Implementing Body –
N/A
Surat 100 17500 Track –
887
Traction -
1320
Gauge - Standard
Stations – N/A
Traction – OHE
Status – In progress
Implementing Body –
N/A
Guwahati 44.2 N/A Track –
117.084
Traction
– 174.24
Stations – 13 Status – In progress
Implementing Body –
N/A