[1] Notification overload might be one of the biggest scourges of the modern digital world, but the fact of the matter is, people need to know when a critical communication has landed on their smartphone. Manually checking the dozens of apps that they use to see whether they've been outbid on eBay or if their flight has been delayed, just isn't practical.
Alerts are the cornerstone of pretty much every modern piece of consumer or enterprise software. But building and maintaining the
infrastructure to power all these notifications, whether it is in-app alerts, text messages or push notifications, requires significant development resources.
This is where Novu enters the fray, serving up the "notification infrastructure for developers," packaged as a set of APIs and front-end components. And it's entirely open-source, too.
>> Read more. [2] The JPEG file format played a crucial role in transitioning the web from a world of text to a
visual experience through an open, efficient container for sharing images. Now, the graphics language transmission format (
glTF) promises to do the same thing for 3D objects in the
metaverse and digital twins.
JPEG took advantage of various compression tricks to dramatically shrink images compared to other formats like GIF. The latest version of glTF similarly takes advantage of techniques for compressing both geometry of 3D objects and their textures. The glTF is already playing a pivotal role in ecommerce, as evidenced by Adobe's push
into the metaverse.
"The
glTF file format is widely adopted and very complementary to USD, which is becoming the standard for creation and authoring on platforms like Omniverse. USD is the place to be if you want to put multiple tools together in sophisticated pipelines and create very high-end content, including movies. That is why Nvidia is investing heavily in USD for the Omniverse ecosystem. On the other hand, glTF focuses on being efficient and
easy to use as a delivery format," explained Neil Trevett, president of the Khronos Foundation that is stewarding the glTF standard.
>> Read more.
[3] There is an implicit assumption in most analytics solutions: The data
analyzed and the insights derived are almost exclusively quantitative. That is, they refer to numerical data, such as number of customers, sales and so on.
But when it comes to customer feedback, perhaps the most
important data is qualitative: text contained in sources such as feedback forms and surveys, tickets, chat and email messages. The problem with that data is that, while valuable, they require domain experts and a lot of time to read through and classify. Or, at least, that was the case up to now.
This is the problem that Viable is looking to address. The company is touting itself as the
only qualitative AI company to provide natural language querying of customer feedback.
>> Read more. 
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