The document contains quarterly and monthly operational uptime and electronic mean time between failure (E-MTBF) metrics for LTX test systems from 2002-2004. It shows that:
1) LTX operational uptime improved each quarter and exceeded 98% targets by Q3 2003.
2) E-MTBF numbers increased each quarter, with a significant jump in Q3 2003.
3) The Fusion HF sub-cluster had the highest E-MTBF numbers, reaching over 700 in Q3 2003.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
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.
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.
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.
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.
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.
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.
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.
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
8. LTX E-MTBF monthly
700
600
500
LTX'02
400
LTX'03
LTX'04
300
Target
200
100
0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
LTX'02 254 262 250 220 217 196 216 258 265 277 291 243
LTX'03 229 357 371 422 471 349 583 650 492 425 581 548
LTX'04 453
Target 550 550 550 550 550 550 550 550 550 550 550 550
Semiconductors, ATO/PSK, 2003 Q4, LTX V.S PSK QRM 8
9. E-MTBF per sub-cluster by monthly
900
Done 16 testers MCM
800 retrofit.
700 Cleaned ext-cooling system.
R10.8.5.1 released
FusionHF'03
600
FusionHF'04
500 SynchroAC'03
400 SynchroAC'04
SynchroAC'03
300
Target
200
100
0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
FusionHF'03 277 382 421 457 504 395 670 767 683 719 697 712
FusionHF'04 638
SynchroAC'03 286 519 451 420 510 270 391 463 330 214 365 301
SynchroAC'04 447
Target 550 550 550 550 550 550 550 550 550 550 550 550
Semiconductors, ATO/PSK, 2003 Q4, LTX V.S PSK QRM 9
10. MTBF:
•Synchro AC still have a large gap between target.
•Fusion get improvements :
Less problem in Fusion cooler .
Ext-cooling are more stable after clean all.
Factory power is more stable than before .
Semiconductors, ATO/PSK, 2003 Q4, LTX V.S PSK QRM 10
12. LTX MTBBF monthly
2500
AC14 TH burnt out, it
2000 nearly damaged 70 parts.
1500 LTX'02
LTX'03
1000 Target
500
0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
MTBBF Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
LTX'02 787 999 758 695 642 586 577 731 991 546 694 772
LTX'03 564 606 714 596 626 236 549 683 568 550 644 749
Target 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000 2000
Semiconductors, ATO/PSK, 2003 Q4, LTX V.S PSK QRM 12
16. LTX MTTR monthly
12
10
8
LTX'02
6 LTX'03
Target
4
2
0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
LTX'02 4.1 4.7 2.9 3.4 3.2 4.3 2.9 4.5 2.3 3.7 3.1 4.7
LTX'03 11.4 6.2 4.1 5.0 5.4 5.3 9.5 9.0 5.7 5.5 8.1 5.7
Target 4 4 4 4 4 4 4 4 4 4 4 4
Semiconductors, ATO/PSK, 2003 Q4, LTX V.S PSK QRM 16
17. LTX MTTR per sub-cluster
30.0
25.0 AC14 TH burnt out, it
nearly damaged 70 parts.
20.0
Fusion HF
15.0 Synchro AC
Target
10.0
5.0
0.0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2003 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Fusion HF 6.0 6.4 4.4 6.7 5.3 6.8 8.8 7.9 7.1 3.1 7.8 3.6
SynchroAC 8.3 6.1 2.9 2.4 5.8 2.9 12.2 10.7 4.3 4.0 10.5 8.1
Target 4 4 4 4 4 4 4 4 4 4 4 4
Semiconductors, ATO/PSK, 2003 Q4, LTX V.S PSK QRM 17
18. MTTR:
•Good trend : All MTTR 2003’s MTTR is lower than 2002’s.
•Bad trend :
1. More difficult application problems.
spend us much time in failures analysis ,pre-srcreen and double-
check .
2. Om635X series has “high_Z mode” hang problem.
3. PCD6001’s test time would increase one by one .
Semiconductors, ATO/PSK, 2003 Q4, LTX V.S PSK QRM 18
22. PSK’s concern
The reliability & quality :
1.PECHF had 200 cases .It is higher than 2002 .
2.SMS_Dig ,SMS_HS head card and SMS HR also had higher failure
rates in 2003.
3.DOA+DUW in 2003 > 2002.
Does supplier guarantee the reliability & quality ?
Semiconductors, ATO/PSK, 2003 Q4, LTX V.S PSK QRM 22
25. PSK’s concerns:
1.Parts reliability .
2.Average delivery time still have big gap to target.
3. Higher cost in spare parts , we increase 33 % in 2003 of LSI.
more than 2002 ,Does supplier help customer in cost down?
2002 LSI 71 pcs ,LSI cost : $109,513 .
2003 LSI 95 pcs , LSI cost : $ 158,384 .
Semiconductors, ATO/PSK, 2003 Q4, LTX V.S PSK QRM 25