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Atlassian Smarts adds machine learning layer across the company’s platform of services

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Atlassian has been offering collaboration tools, often favored by developers and IT for some time with such stalwarts as Jira for help desk tickets, Confluence to organize your work and BitBucket to organize your development deliverables, but what it lacked was machine learning layer across the platform to help users work smarter within and across the applications in the Atlassian family.

That changed today, when Atlassian announced it has been building that machine learning layer called Atlassian Smarts, and is releasing several tools that take advantage of it. It’s worth noting that unlike Salesforce, which calls its intelligence layer Einstein or Adobe, which calls its Sensei; Atlassian chose to forgo the cutesy marketing terms and just let the technology stand on its own.

Shihab Hamid, the founder of the Smarts and Machine Learning Team at Atlassian, who has been with the company 14 years, says that they avoided a marketing name by design. “I think one of the things that we’re trying to focus on is actually the user experience and so rather than packaging or branding the technology, we’re really about optimizing teamwork,” Hamid told TechCrunch.

Hamid says that the goal of the machine learning layer is to remove the complexity involved with organizing people and information across the platform.

“Simple tasks like finding the right person or the right document becomes a challenge, or at least they slow down productivity and take time away from the creative high-value work that everyone wants to be doing, and teamwork itself is super messy and collaboration is complicated. These are human challenges that don’t really have one right solution,” he said.

He says that Atlassian has decided to solve these problems using machine learning with the goal of speeding up repetitive, time-intensive tasks. Much like Adobe or Salesforce, Atlassian has built this underlying layer of machine smarts, for lack of a better term, that can be distributed across their platform to deliver this kind of machine learning-based functionality wherever it makes sense for the particular product or service.

“We’ve invested in building this functionality directly into the Atlassian platform to bring together IT and development teams to unify work, so the Atlassian flagship products like JIRA and Confluence sit on top of this common platform and benefit from that common functionality across products. And so the idea is if we can build that common predictive capability at the platform layer we can actually proliferate smarts and benefit from the data that we gather across our products,” Hamid said.

The first pieces fit into this vision. For starters, Atlassian is offering a smart search tool that helps users find content across Atlassian tools faster by understanding who you are and how you work. “So by knowing where users work and what they work on, we’re able to proactively provide access to the right documents and accelerate work,” he said.

The second piece is more about collaboration and building teams with the best personnel for a given task. A new tool called predictive user mentions helps Jira and Confluence users find the right people for the job.

“What we’ve done with the Atlassian platform is actually baked in that intelligence, because we know what you work on and who you collaborate with, so we can predict who should be involved and brought into the conversation,” Hamid explained.

Finally, the company announced a tool specifically for Jira users, which bundles together similar sets of help requests and that should lead to faster resolution over doing them manually one at a time.

“We’re soon launching a feature in JIRA Service Desk that allows users to cluster similar tickets together, and operate on them to accelerate IT workflows, and this is done in the background using ML techniques to calculate the similarity of tickets, based on the summary and description, and so on.”

All of this was made possible by the company’s previous shift  from mostly on-premises to the cloud and the flexibility that gave them to build new tooling that crosses the entire platform.

Today’s announcements are just the start of what Atlassian hopes will be a slew of new machine learning-fueled features being added to the platform in the coming months and years.

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Keep That Hotdish Hot With 65% Off a Luncia Casserole Carrier, Only $11 With Promo Code

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Best Home DealsBest Home DealsThe best home, kitchen, smart home, and automotive deals from around the web, updated daily.

Luncia Double-Decker Dish Carrier | $11 | Amazon | Promo code SDDU9S7F

It has been a long time since the days we could safely have a potluck or other gatherings, but we have a fantastic deal perfect for once those times return. These double-decker Luncia dish carriers can be had for 65% off when you add promo code SDDU9S7F at checkout and clip the coupon on the site (it’s just below the price). These holders fit 9″x 13″ sized baking dishes.

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That means you can insulate and keep two dishes of food warm for only $11 instead of $30. What’s more, your Luncia carrier will arrive by Christmas if you order today as a Prime member.

Just add promo code SDDU9S7F and clip the 5% off coupon to bring the price down to $11 for the blue or the grey option.

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Grab this offer while it’s still around!


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Conquer Your Pup’s Dander and Fur With $700 Off a Cobalt or Charcoal Bobsweep PetHair Plus Robot Vacuum

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Best Home DealsBest Home DealsThe best home, kitchen, smart home, and automotive deals from around the web, updated daily.

Bobsweep PetHair Plus Robot Vacuum & Mop (Cobalt) | $200 | Best Buy

Bobsweep PetHair Plus Robot Vacuum & Mop (Charcoal) | $200 | Best Buy

Allergies can be bad enough as the seasons change. Don’t let pet hair and dander add to that by vacuuming it up early and often. That chore is easier said than done— unless you have a robot vacuum to do the work for you. This lovely bright cobalt Bobsweep PetHair Plus robot vacuum and mop, only $200 today at Best Buy seems like an ideal option. That’s a whopping $700 off, by the way.

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You can get the same deal for the charcoal version of the robot vac, too. This model is not only specially made for picking up pet hair, it self docks and charges when it’s finished with the work.

It also comes with a mop attachment, so it can take care of those kitchen floors for you as well. Grab it while it’s still available for this fantastic price!

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Apple will replace AirPods Pro for free with faulty noise cancellation, static or crackling

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Today, exactly one year after Apple first launched the AirPods Pro — and thus the same day the very first AirPods Pro owners will see their one-year warranties expire — Apple has launched a repair program that offers free repairs or replacements for another whole year if your AirPods Pro experience issues with noise cancellation or static.

Specifically, Apple will fix:

Crackling or static sounds that increase in loud environments, with exercise or while talking on the phone

Active Noise Cancellation not working as expected, such as a loss of bass sound, or an increase in background sounds, such as street or airplane noise

Apple says only a “small percentage of AirPods Pro” are affected by the issues, but it apparently wasn’t just an early batch — Apple says affected units were manufactured “before October 2020,” meaning every AirPods Pro ever made might be eligible. That’s quite a recall if so. Apple says it will repair faulty AirPods Pro for two years after you first buy them.

We’ve heard complaints about degraded noise cancellation before, and at least one Verge editor has replaced their AirPods Pro under warranty. It’s nice to hear that Apple isn’t just cutting buyers off as soon as that warranty expires.

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