Wanted – Buffalo DiskStation – 4 caddies wanted

Model no. HD-QS4.0 TSU2R5EU – though I think that some other models would have had the same ones, like the duo. The part I am after is attached by the screw next to the numbers and is a sort of open metal box, which holds the drive in position. I wonder if someone might have a defunct one around that I could get the caddies from. 4 wanted in total, but would be grateful for any. There are no ‘plugs’ on the caddies – they are seperate, and to the side, purely just the metal ‘boxes’ with an L-bracket to be held by the screw. As you can see from the photos, with the single drive, the one I have has no caddies…

Location: Rustington, West Sussex, UK

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Customize Microsoft Translator’s Neural Machine Translation to translate just the way you want: Custom Translator now in General Availability

Custom Translator, now in general availability, significantly improves the quality of your translations by letting you build your own customized neural translation models tuned with your own pre-translated content.​ Using Custom Translator, you can translate your product names and industry jargon just the way you want.

With Custom Translator, an extension of the Microsoft Translator Text API, part of the Cognitive Services suite of products on Azure, you can build neural translation models that understand the terminology used in your own business and industry. The customized translation model will then seamlessly integrate into existing applications, workflows, and websites.

Custom Translator can be used with Microsoft Translator’s advanced neural machine translation when translating text using the Microsoft Translator Text API and speech translation using the Azure Cognitive Services Speech Service.

Preview customers of Custom Translator have already noted its improvements on translation quality and its usefulness regardless of the amount of pre-translated, bilingual content available.

Alex Yanishevsky, Senior Manager for machine translation at Welocalize, a leading language service provider, remarked, “Using Custom Translator, we’ve seen very good quality in comparison to other engines. It is very flexible. You can make engines just based on dictionaries if you don’t have enough data, and if you do have enough data you can make an engine based on data plus dictionaries. From the standpoint of customization, having that flexibility is really important.”

How it works

Custom Translator is easy to use and does not require a developer once the call to the Translator service has been properly set up in your app’s code. Custom Translator features a simple and intuitive web app that guides you through the 4-step process of customizing a model:

  1. Upload your data
  2. Train a model
  3. Test the model
  4. Deploy the new customized model to be used in your app

View the process in the image below.

For advanced use, there is also the Custom Translator API (preview) to automate the customization into your workflows.

Building and using custom NMT with Translator is quick, easy, and cost effective. By optimizing how training is performed, and how the Translator runtime incorporates the custom training, our team was able to provide a solution for customizing the Translator NMT models with a training cost that is less than 1% of the cost of training a new neural translation model from scratch. This, in turn, enables Microsoft to provide a cost-effective and simple pricing model to our users.

General availability pricing will go into effect on February 1st, 2019.

Get started now

  1. Ensure you have a Translator Text API key
    If you don’t have a key already, learn how to sign up.
  2. Log into the Custom Translator portal
    You can use your Microsoft account or corporate email to sign into the portal.
  3. Watch the how-to video and read the documentation.
  4. Questions?
    Ask them on Stack Overflow. We monitor these daily!

Go to Original Article
Author: Steve Clarke

Recapping yesterday’s Microsoft Edge and open source announcements – Microsoft Edge Blog

December 7, 2018 10:04 am

By Kyle Pflug / Senior Program Manager, Microsoft Edge
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Yesterday, Joe Belfiore announced that we will be adopting the Chromium open source project for our development of Microsoft Edge. We encourage you to check out Joe’s blog post for all the details.
Alongside this announcement, we shared a document describing our open source principles and initial areas of focus. Today, we’ve posted a few more documents detailing our intent to contribute UIAutomation Provider Mappings to Chromium. We’ve also posted an update to the ChakraCore project on GitHub, clarifying the support status for that project.
To learn more about what’s next for Microsoft Edge, sign up at the Microsoft Edge Insider page for updates and notifications, and stay tuned here at the Microsoft Edge Blog for details and announcements in the coming months.

Tags Announcements ChakraCore Chromium EdgeHTML Microsoft Edge Insider Open Source
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Cisco brings Webex Teams messaging to Jabber client

Businesses can now connect Cisco’s on-premises unified communications client, Cisco Jabber, to the Webex cloud. The release of the hybrid setup underscores Cisco’s commitment to supporting both on-premises and cloud-based messaging apps.

Businesses using Cisco Jabber can enable a team messaging mode that brings several core features of Webex Teams to the Jabber client, including persistent one-to-one and team chats. The hybrid setup also includes file sharing, presence and a search tool.

The update lets businesses access those team messaging features from the Webex cloud, while keeping telephony infrastructure on premises. The hybrid setup also lets businesses federate the Jabber client with Webex Teams, so users of both platforms can collaborate without switching apps. The convenience of not having to go back and forth should make it easier for businesses to migrate from Jabber to Teams in phases.

The release is part of a broader effort by Cisco to bring together the unified communications (UC) clients Jabber, Webex Teams and BroadSoft UC-One. Cisco is working to combine the code bases of all three apps so it can deliver the same core team messaging features to each.

While Microsoft has been aggressively pushing its UC customers toward one cloud-based platform, Microsoft Teams, Cisco has embraced a multiclient approach that includes an ongoing commitment to Jabber, said Irwin Lazar, analyst at Nemertes Research in Mokena, Ill.

“I think Cisco has a more seamless integration strategy … The Microsoft approach is more designed to move customers from Skype for Business to Microsoft Teams,” Lazar said. “Cisco’s approach is more likely due to the reality of the large installed Jabber base.”

Jabber is the UC client used with on-premises deployments of Cisco Unified Communications Manager, as well as with Cisco Hosted Collaboration Solution, a single-tenant cloud offering hosted by service providers.

Cisco adds advanced meeting controls to Jabber client

Cisco has delivered a host of new meeting settings to Jabber in a new user interface that closely resembles Webex. The updates are included in the software release of Jabber version 12.5.

Users will now have more control over how Jabber displays video feeds and files in the client. For example, a user could choose to view a shared presentation side by side with a video feed or in a separate window. Also, Jabber users can now see a roster of meeting participants that shows which attendees are sharing content, muted or currently speaking.

These features are available now for businesses using Cisco Meeting Server, which lets enterprises and service providers build on-premises audio and video conferencing platforms. Cisco said it was working to integrate the Jabber interface with its other meeting products, suggesting it may soon let customers power Jabber meetings with Webex.

The 12.5 release also comes with a new web interface for managing Jabber users and devices and for automatically updating the firmware of connected Cisco headsets. Plus, the app’s user interface has been updated to more closely resemble the Webex suite.

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Author:

Wanted – Buffalo DiskStation – 4 caddies wanted

Model no. HD-QS4.0 TSU2R5EU – though I think that some other models would have had the same ones, like the duo. The part I am after is attached by the screw next to the numbers and is a sort of open metal box, which holds the drive in position. I wonder if someone might have a defunct one around that I could get the caddies from. 4 wanted in total, but would be grateful for any. There are no ‘plugs’ on the caddies – they are seperate, and to the side, purely just the metal ‘boxes’ with an L-bracket to be held by the screw. As you can see from the photos, with the single drive, the one I have has no caddies…

Location: Rustington, West Sussex, UK

______________________________________________________
This message is automatically inserted in all classifieds forum threads.
By replying to this thread you agree to abide by the trading rules detailed here.
Please be advised, all buyers and sellers should satisfy themselves that the other party is genuine by providing the following via private conversation to each other after negotiations are complete and prior to dispatching goods and making payment:

  • Landline telephone number. Make a call to check out the area code and number are correct, too
  • Name and address including postcode
  • Valid e-mail address

DO NOT proceed with a deal until you are completely satisfied with all details being correct. It’s in your best interest to check out these details yourself.

Go to Original Article
Author:

Customize Microsoft Translator’s Neural Machine Translation to translate just the way you want: Custom Translator now in General Availability

Custom Translator, now in general availability, significantly improves the quality of your translations by letting you build your own customized neural translation models tuned with your own pre-translated content.​ Using Custom Translator, you can translate your product names and industry jargon just the way you want.

With Custom Translator, an extension of the Microsoft Translator Text API, part of the Cognitive Services suite of products on Azure, you can build neural translation models that understand the terminology used in your own business and industry. The customized translation model will then seamlessly integrate into existing applications, workflows, and websites.

Custom Translator can be used with Microsoft Translator’s advanced neural machine translation when translating text using the Microsoft Translator Text API and speech translation using the Azure Cognitive Services Speech Service.

Preview customers of Custom Translator have already noted its improvements on translation quality and its usefulness regardless of the amount of pre-translated, bilingual content available.

Alex Yanishevsky, Senior Manager for machine translation at Welocalize, a leading language service provider, remarked, “Using Custom Translator, we’ve seen very good quality in comparison to other engines. It is very flexible. You can make engines just based on dictionaries if you don’t have enough data, and if you do have enough data you can make an engine based on data plus dictionaries. From the standpoint of customization, having that flexibility is really important.”

How it works

Custom Translator is easy to use and does not require a developer once the call to the Translator service has been properly set up in your app’s code. Custom Translator features a simple and intuitive web app that guides you through the 4-step process of customizing a model:

  1. Upload your data
  2. Train a model
  3. Test the model
  4. Deploy the new customized model to be used in your app

View the process in the image below.

For advanced use, there is also the Custom Translator API (preview) to automate the customization into your workflows.

Building and using custom NMT with Translator is quick, easy, and cost effective. By optimizing how training is performed, and how the Translator runtime incorporates the custom training, our team was able to provide a solution for customizing the Translator NMT models with a training cost that is less than 1% of the cost of training a new neural translation model from scratch. This, in turn, enables Microsoft to provide a cost-effective and simple pricing model to our users.

General availability pricing will go into effect on February 1st, 2019.

Get started now

  1. Ensure you have a Translator Text API key
    If you don’t have a key already, learn how to sign up.
  2. Log into the Custom Translator portal
    You can use your Microsoft account or corporate email to sign into the portal.
  3. Watch the how-to video and read the documentation.
  4. Questions?
    Ask them on Stack Overflow. We monitor these daily!

Go to Original Article
Author: Steve Clarke

Komprise data management helps Boone County archive to Azure

Like many local governments, Indiana’s Boone County accumulated lots of records, court documents, audio recordings, video and other data over the years that employees rarely, if ever, need to access.

So, Sean Horan, the IT consultant who oversees Boone County’s IT infrastructure, sought an economical way to archive the older data the county must keep. The archive was an alternative to constantly adding on-site SAN storage, replication and backup hardware.

“We just felt in the long term we were going to hit a brick wall when it comes to cost and storage,” said Horan, a senior network systems specialist at Government Utilities Technology Service, the company that manages Boone County’s IT systems.

Boone started using Komprise Intelligent Data Management software in early 2017. The county freed up almost 80% of its on-premises storage by offloading data that hadn’t been modified in a year to Microsoft’s Azure Blob storage. Horan said Boone spent about two months on the initial data transfer over redundant 250 Mbps network pipes and now stores about 25 TB in the Azure object storage.

Komprise President and COO Krishna Subramanian said Boone is typical of the startup’s customers. One of the biggest use cases for Komprise Intelligent Data Management software is shifting cold data from expensive primary storage systems to cheaper object-based storage archives in the cloud, she said. Komprise’s analytics-driven management software enables customers to move data multiple times based on policies and natively access the object-based data in the cloud.

Komprise data management software update

The recently released 2.9 version of Komprise’s data management software adds the ability to directly access file-based data in the cloud, without having to go back to the original source. Traditional systems typically keep the file’s metadata on the primary storage, and data that’s shifted to the cloud must be rehydrated on the primary tier for users to access it, Subramanian said.

Native access to cloud-based data helps to minimize the threat of vendor lock-in for customers. “If there was a scenario where we had to go away from them, we would still have access to all of our data, which is obviously very important to us,” Horan said.

Komprise 2.9 planning tool
Planning tool in Komprise 2.9 storage management software.

Komprise customers also asked for the option to move data “up and down” between cloud object storage and cloud-based file storage — such as Amazon’s Elastic File System, Azure Files and NetApp’s Cloud Volumes. That opens the possibility of doing their primary work in the cloud, Subramanian said.

“That’s a different way to look at archiving, because essentially you’re using it to evolve what your primary storage becomes,” Subramanian said. “And in order to allow that, Komprise had to fully preserve all the access controls, all the metadata and all the information about the files at every level that we’re moving the data to and allow access to the data not only as objects but also as files.”

Updated Komprise data management offers flexibility

Horan said the new Komprise 2.9 capabilities would allow Boone County to choose between hot or cold storage when uploading data to Azure and to shift files between Azure tiers as data ages. The county could even offload more recent files to the cloud if it doesn’t want to deal with on-premises storage at all, he said.

“We can definitely see a big future with Komprise, being able to do things differently and more efficiently as we go along,” Horan said.

Boone County stores about 70 TB of data in disk-based Dell EMC PowerVault MD3820i iSCSI storage. But Horan said the county would probably buy a smaller, faster flash-based SAN in 2020 as part of its normal five-year lifecycle rotation. The new SAN could be funded by cost savings from using Komprise data management software and Azure cloud storage, he said.

Data that Boone shifts to the cloud is still backed up locally to tape, but the county has less to back up. Horan said he knows many companies forego backing up to tape, but he isn’t ready to do that yet.

“I just like the fact that if we got hit by a CryptoLocker or have some catastrophic failure at a facility that we don’t lose everything,” he said.

Boone County stores its backup tapes off site with Iron Mountain and could retrieve them whenever the county needs access to older files. But, Horan said, it’s faster to recall data from the Azure cloud through the Komprise console.

Go to Original Article
Author:

Wanted – Buffalo DiskStation – 4 caddies wanted

Model no. HD-QS4.0 TSU2R5EU – though I think that some other models would have had the same ones, like the duo. The part I am after is attached by the screw next to the numbers and is a sort of open metal box, which holds the drive in position. I wonder if someone might have a defunct one around that I could get the caddies from. 4 wanted in total, but would be grateful for any. There are no ‘plugs’ on the caddies – they are seperate, and to the side, purely just the metal ‘boxes’ with an L-bracket to be held by the screw. As you can see from the photos, with the single drive, the one I have has no caddies…

Location: Rustington, West Sussex, UK

______________________________________________________
This message is automatically inserted in all classifieds forum threads.
By replying to this thread you agree to abide by the trading rules detailed here.
Please be advised, all buyers and sellers should satisfy themselves that the other party is genuine by providing the following via private conversation to each other after negotiations are complete and prior to dispatching goods and making payment:

  • Landline telephone number. Make a call to check out the area code and number are correct, too
  • Name and address including postcode
  • Valid e-mail address

DO NOT proceed with a deal until you are completely satisfied with all details being correct. It’s in your best interest to check out these details yourself.

Go to Original Article
Author:

Customize Microsoft Translator’s Neural Machine Translation to translate just the way you want: Custom Translator now in General Availability

Custom Translator, now in general availability, significantly improves the quality of your translations by letting you build your own customized neural translation models tuned with your own pre-translated content.​ Using Custom Translator, you can translate your product names and industry jargon just the way you want.

With Custom Translator, an extension of the Microsoft Translator Text API, part of the Cognitive Services suite of products on Azure, you can build neural translation models that understand the terminology used in your own business and industry. The customized translation model will then seamlessly integrate into existing applications, workflows, and websites.

Custom Translator can be used with Microsoft Translator’s advanced neural machine translation when translating text using the Microsoft Translator Text API and speech translation using the Azure Cognitive Services Speech Service.

Preview customers of Custom Translator have already noted its improvements on translation quality and its usefulness regardless of the amount of pre-translated, bilingual content available.

Alex Yanishevsky, Senior Manager for machine translation at Welocalize, a leading language service provider, remarked, “Using Custom Translator, we’ve seen very good quality in comparison to other engines. It is very flexible. You can make engines just based on dictionaries if you don’t have enough data, and if you do have enough data you can make an engine based on data plus dictionaries. From the standpoint of customization, having that flexibility is really important.”

How it works

Custom Translator is easy to use and does not require a developer once the call to the Translator service has been properly set up in your app’s code. Custom Translator features a simple and intuitive web app that guides you through the 4-step process of customizing a model:

  1. Upload your data
  2. Train a model
  3. Test the model
  4. Deploy the new customized model to be used in your app

View the process in the image below.

For advanced use, there is also the Custom Translator API (preview) to automate the customization into your workflows.

Building and using custom NMT with Translator is quick, easy, and cost effective. By optimizing how training is performed, and how the Translator runtime incorporates the custom training, our team was able to provide a solution for customizing the Translator NMT models with a training cost that is less than 1% of the cost of training a new neural translation model from scratch. This, in turn, enables Microsoft to provide a cost-effective and simple pricing model to our users.

General availability pricing will go into effect on February 1st, 2019.

Get started now

  1. Ensure you have a Translator Text API key
    If you don’t have a key already, learn how to sign up.
  2. Log into the Custom Translator portal
    You can use your Microsoft account or corporate email to sign into the portal.
  3. Watch the how-to video and read the documentation.
  4. Questions?
    Ask them on Stack Overflow. We monitor these daily!

Go to Original Article
Author: Steve Clarke

RSA Conference launches diversity and inclusion initiative

RSA Conference has detailed new efforts to promote diversity and inclusion following controversy around the conference earlier this year.

The 2018 RSA Conference faced criticism after it announced its initial keynote speaker lineup that included only one female speaker, cyberbullying activist Monica Lewinski. The conference then adjusted the lineup to include more women, but it still received negative attention.

RSA Conference earlier this month announced a new diversity and inclusion initiative. The conference split its efforts into four categories: governance, experience, programming and investment. These feature changes such as a new advisory board, a safe walk program coordinated in cooperation with the San Francisco police department, the abolishment of all-male panels and a youth STEM program to encourage students to get involved in cybersecurity.

In addition, RSA Conference has also updated its speaker submission form to encourage a more diverse speaker lineup.

“The form was very harsh,” said Sandra Toms, vice president and curator of RSA Conference. “So, we’ve changed the way we do the call for speakers, changed the language on the form so that people would get it that we value diversity in all of our content programming. If you’re suggesting a panel, think about diversity on your panel. If you’re looking for a co-speaker, again, think about diversity in your co-speaker selection.”

Toms said the language change has made a difference. Last year, 12% of the submissions were women, and this year, 18% of the submissions are from women.

We talked to them about what diversity meant, and everyone’s gone back to develop a more diverse speaking program for themselves.
Sandra Tomsvice president and curator, RSA Conference

“Overall, we receive over 2,400 submissions for RSA Conference. So, it’s pretty significant and we’re really proud of that,” Toms said.

The keynote speakers at RSAC are largely speakers from event sponsors — the conference has also received criticism for its “pay to play” model. This year, RSA Conference organizers said they reached out to sponsors to encourage them to send more diverse speakers to the keynote stage.

“Myself and Linda Gray Martin, who is our chief of operations, talked to every single keynote team this year after we received their recommendation of who they wanted to speak,” Toms said. “We talked to them about what diversity meant, and everyone’s gone back to develop a more diverse speaking program for themselves.”

Changing the environment

Along with what RSA Conference hopes will be a more diverse speaker lineup both on the keynote stage and in the sessions, the cybersecurity vendor is rolling out programs to make the conference itself a safer and more accommodating space for everyone.

This includes a secure child care room in or near Moscone Center that will enable parents to come and go from the conference as needed. There will also be a prayer room for attendees and staff, as well as gender-neutral bathrooms.

Toms also mentioned that the city of San Francisco is working with the conference this year to increase patrols on and around the walking paths from the Moscone Center to hotels. Conference organizers are also working on a program for anyone who wants someone to walk them back to their hotel after the conference for added security.

RSA Conference will also be promoting affinity groups that organize meet-ups during the conference to encourage a greater sense of community at the event.

For the investment part of RSA Conference’s diversity and inclusion efforts, the conference is partnering with organizations and schools to get younger generations involved with cybersecurity in order to ease the staffing crisis in the longer run. For instance, the conference is partnering with the Girl Scouts and Cyberjutsu Girls Academy.

While Toms says there’s still more work to do, the diversity and inclusion initiative is a step in the right direction.

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Author: