AI wearables have had a cruddy year.
Technology
Couchbase launches database tools to foster AI development
Couchbase on Tuesday made Capella Columnar generally available on AWS in a move aimed at helping customers streamline application development by centralizing real-time data analysis and operational workloads together in a single location.
In addition, the vendor launched Couchbase Mobile with vector search so that users can conduct hybrid and similarity searches in mobile applications at the edge rather than just their traditional database environment.
Based in Santa Clara, Calif., Couchbase is a NoSQL database vendor that competes with other database specialists such as Redis and MongoDB, as well as tech giants including AWS, Google, Microsoft and Oracle that offer database platforms.
Despite a crowded database market, Couchbase has been able to differentiate itself with forward-thinking product development such as its launch of Capella Columnar, according to Stephen Catanzano, an analyst at TechTarget’s Enterprise Strategy Group.
“Couchbase is seen as an innovative player,” he said. “Compared to its peers, Couchbase stands out for its ability to handle both transactional and analytical workloads in a unified platform. Columnar adds to this.”
Stephen CatanzanoAnalyst, Enterprise Strategy Group
Doug Henschen, an analyst at Constellation Research, likewise noted that Couchbase stands out despite strong competition, saying the vendor provides a leading NoSQL database.
Neither columnar capabilities nor vector search are new, he continued. For example, Couchbase first unveiled vector search in February. Meanwhile, MongoDB offered columnar capabilities as part of its Atlas Data Lake launch in 2022.
However, vector search for mobile is unique.
“The move makes sense, given the rise of edge applications and mobility demands,” Henschen said.
First known as Membase before a 2011 merger with CouchOne, Couchbase now provides Capella, a database-as-a-service platform geared toward cloud-based customers, which was first launched in 2021. In addition, the vendor offers Couchbase Enterprise for on-premises users.
Couchbase first unveiled Capella Columnar in preview during AWS re:Invent 2023. The service, which is only available on AWS at this point, aims to bring together operational database workloads with real-time analytics in a columnar format that analytics tools can understand.
Many developers, including Couchbase customers, use JSON — a data interchange format used to move data between web clients and web servers — when building enterprise applications. JSON, however, can be difficult to use with analytics systems that use different, more rigid formats for storage and analysis, the vendor noted. As a result, unstructured JSON data often goes unused and lies dormant in a database. Meanwhile, with enterprises now developing generative AI applications that require huge amounts of proprietary data to understand the enterprise’s business and respond accurately to business-specific queries, unstructured data is becoming critical.
Unstructured data such as text, images, videos and audio files is estimated to make up more than 80% of all data, with the structured data traditionally used to inform analytics just a small part of an enterprise’s overall cache of information. Without accessing unstructured data, enterprises don’t get a complete view of their business, and AI applications trained on their data are more prone to deliver incorrect outputs.
Capella Columnar transforms JSON data so that it can be recognized by analytics tools, making previously inaccessible data accessible for informing decisions and training AI models and applications. The feature reduces the cumbersome extract, transform and load (ETL) process by supporting real-time data ingestion, using Capella iQ to automatically write SQL to calculate an analytical metric and writing back the metric to the operational side of Capella, where it can be used in an application.
Because Capella Columnar enables operational processing and real-time analytics in one database, its release is an important development for Couchbase users, according to Catanzano. “The launch of Couchbase Columnar is significant,” he said. “It addresses a longstanding challenge of making JSON data useful for analytics, which has traditionally been difficult due to its unstructured nature.”
An added benefit could be cost reduction, Catanzano continued, noting that it adds expenses to do operational processing and real-time analytics on separate platforms.
Matt McDonough, Couchbase’s senior vice president of product and partners, said that while many enterprises are attempting to build more AI applications, including generative AI tools, such applications remain more an idea than a reality. Tools such as Capella Columnar aim to make it easier to develop AI-powered applications that can be used widely across organizations rather than by just data science teams.
“AI-powered apps have been a relatively abstract concept,” McDonough said. “With the availability of these new features in Capella, developers can bring AI apps to life because they’re no longer bogged down with rigid systems or complex ETL processes.” Like Capella Columnar, Couchbase Mobile with vector search aims to speed and simplify application development.
Vector search has become a key component of retrieval-augmented generation (RAG) pipelines commonly used to train generative AI models and applications. Vector embeddings are a way to give structure to unstructured data by assigning it a numerical value so that it can be searched and used in training. In addition, vectors enable similarity search that makes data discovery easier than the more limiting keyword search, helping users find enough data to properly inform AI tools.
Following its initial introduction of vector search capabilities in February, Couchbase is now extending those capabilities beyond its traditional database environment to edge devices in a move that stands to benefit customers, according to Henschen.
With Couchbase Lite, a document database that can be embedded into edge devices to enable real-time decisions, developers can build applications using mobile devices that can subsequently be consumed on mobile devices. “The availability of vector information supports similarity search and improves search accuracy, so it’s nice to see in the mobile database as well as the core product,” Henschen said.
The impetus for developing both the new mobile feature and Capella Columnar came from Couchbase’s recognition that enterprises are struggling to build AI applications, according to McDonough.
Many organizations have complex data systems that include numerous different platforms that don’t natively integrate with one another. As a result, the pieces don’t always work smoothly together, leading to data quality issues. In addition, if different departments within organizations use different tools, data often gets isolated.
As Couchbase develops new features, one of its primary goals is to consolidate capabilities in a single database platform. “For developers to evolve in the age of AI, they have to clean up complex architectures, which means consolidating platforms, eliminating data silos [and] making sure they’re working with trustworthy data,” McDonough said. “To do this, they need the right resources.”
Beyond Capella Columnar and Couchbase Mobile with vector search, Couchbase unveiled a new free tier that will be available starting Sept. 9.
Toward Couchbase’s goal of making it faster and easier to build AI applications, the vendor’s roadmap includes improving the developer experience through partnerships and integrations that create an ecosystem and provide key capabilities, according to McDonough.
Catanzano, meanwhile, said Couchbase’s focus on enabling users to develop AI tools is appropriate. In particular, the vendor would be wise to concentrate on helping customers ensure trusted, high-quality data is used to inform models and applications, he said. Given the decision-making speed and scale generative AI enables, it is increasingly critical that the data used to inform generative AI tools is accurate.
“[Couchbase should] continue to innovate around bringing highly trusted enterprise data into GenAI models in a secure way, using RAG and vector capabilities to help create new and innovative solutions,” Catanzano said.
Eric Avidon is a senior news writer for TechTarget Editorial and a journalist with more than 25 years of experience. He covers analytics and data management.
New capabilities
Plans
Technology
Meta has a major opportunity to win the AI hardware race
Just a few short months ago, the tech world was convinced AI hardware could be the next big thing. It was a heady vision, bolstered by futuristic demos and sleek hardware. At the center of the buzz were the Humane AI Pin and the Rabbit R1. Both promised a grandiose future. Neither delivered the goods.
It’s an old story in the gadget world. Smart glasses and augmented reality headsets went through a similar hype cycle a decade ago. Google Glass infamously promised a future where reality was overlaid with helpful information. In the years since, Magic Leap, Focals By North, Microsoft’s HoloLens, Apple’s Vision Pro, and most recently, the new Snapchat Spectacles have tried to keep the vision alive but to no real commercial success.
So, all things considered, it’s a bit ironic that the best shot at a workable AI wearable is a pair of smart glasses — specifically, the Ray-Ban Meta smart glasses.
The funny thing about the Meta smart glasses is nobody expected them to be as successful as they are. Partly because the first iteration, the Ray-Ban Stories, categorically flopped. Partly because they weren’t smart glasses offering up new ideas. Bose had already made stylish audio sunglasses and then shuttered the whole operation. Snap Spectacles already tried recording short videos for social, and that clearly wasn’t good enough, either. On paper, there was no compelling reason why the Ray-Ban Meta smart glasses ought to resonate with people.
And yet, they have succeeded where other AI wearables and smart glasses haven’t. Notably, beyond even Meta’s own expectations.
A lot of that boils down to Meta finally nailing style and execution. The Meta glasses come in a ton of different styles and colors compared to the Stories. You’re almost guaranteed to find something that looks snazzy on you. In this respect, Meta was savvy enough to understand that the average person doesn’t want to look like they just walked out of a sci-fi film. They want to look cool by today’s standards.
At $299, they’re expensive but are affordable compared to a $3,500 Vision Pro or a $699 Humane pin. Audio quality is good. Call quality is surprisingly excellent thanks to a well-positioned mic in the nose bridge. Unlike the Stories or Snap’s earlier Spectacles, video and photo quality is good enough to post to Instagram without feeling embarrassed — especially in the era of content creators, where POV-style Instagram Reels and TikToks do numbers.
This is a device that can easily slot into people’s lives now. There’s no future software update to wait for. It’s not a solution looking for a problem to solve. And this, more than anything else, is exactly why the Ray-Bans have a shot at successfully figuring out AI.
That’s because AI is already on it — it’s just a feature, not the whole schtick. You can use it to identify objects you come across or tell you more about a landmark. You can ask Meta AI to write dubious captions for your Instagram post or translate a menu. You can video call a friend, and they’ll be able to see what you see. All of these use cases make sense for the device and how you’d use it.
In practice, these features are a bit wonky and inelegant. Meta AI has yet to write me a good Instagram caption and often it can’t hear me well in loud environments. But unlike the Rabbit R1, it works. Unlike Humane, it doesn’t overheat, and there’s no latency because it uses your phone for processing. Crucially, unlike either of these devices, if the AI shits the bed, it can still do other things very well.
This is good enough. For now. Going forward, the pressure is on. Meta’s gambit is if people can get on board with simpler smart glasses, they’ll be more comfortable with face computers when AI — and eventually AR — is ready for prime time.
They’ve proved the first part of the equation. But if the latter is going to come true, the AI can’t be okay or serviceable. It has to be genuinely good. It has to make the jump from “Oh, this is kind of convenient when it works” to “I wear smart glasses all day because my life is so much easier with them than without.” Right now, a lot of the Meta glasses’ AI features are neat but essentially party tricks.
It’s a tall order, but of everyone out there right now, Meta seems to be the best positioned to succeed. Style and wearability aren’t a problem. It just inked a deal with EssilorLuxxotica to extend its smart glasses partnership beyond 2030. Now that it has a general blueprint for the hardware, iterative improvements like better battery and lighter fits are achievable. All that’s left to see is whether Meta can make good on the rest of it.
It’ll get the chance to prove it can next week at its Meta Connect event. It’s a prime time. Humane’s daily returns are outpacing sales. Critics accuse Rabbit of being little more than a scam. Experts aren’t convinced Apple’s big AI-inspired “supercycle” with the iPhone 16 will even happen. A win here wouldn’t just solidify Meta’s lead — it’d help keep the dream of AI hardware alive.
Technology
I installed the Apple Intelligence public beta on my iPhone 16 Pro Max and it works great
Well, Apple kind of fooled us, didn’t it? The iPhone 16, iPhone 16 Plus, iPhone 16 Pro, and iPhone 16 Pro Max are now here and there’s a public beta of Apple Intelligence to supercharge your new iPhone at launch.
Yes, the public beta isn’t as stable as the upcoming iOS 18.1 release next month, but I decided to install it on my brand new iPhone 16 Pro Max, and I’m impressed with the results so far.
For full transparency, I initially installed iOS 18.1 developer beta 1 on my iPhone 15 Pro Max in July and after testing out Apple Intelligence for a few days I uninstalled the buggy mess from my device. It wasn’t so much an Apple Intelligence problem, but more related to how unstable a developer beta can be and why no one should install any developer betas on their primary device.
Fast forward to September 20 and not only do I have the shiny new iPhone 16 Pro Max in Desert Titanium but I’ve reinstalled iOS 18.1 thanks to Apple’s surprise public beta drop. Public betas are still in development but they are usually far more stable than any developer beta, and so far, so good.
So I unboxed my 16 Pro Max, instantly updated to iOS 18.1 public beta (if you’re looking to find out how to do this, check out our iOS 18.1 public beta install guide), and jumped on the Apple Intelligence waitlist.
Within minutes, my new iPhone had Apple Intelligence and my worry of Apple Intelligence’s messy launch was somewhat defused.
Just to be clear, iOS 18.1 public beta is exactly that, a beta, so while I’m happy to use it on my primary device, I don’t suggest you install it unless you know exactly what you’re getting yourself into. I’ve had no bugs or performance issues so far and the Apple Intelligence features that are available work pretty well, but everyone’s experience with beta software is different depending on the apps you use.
Back to Apple Intelligence: You’ll find all of the features my colleague Lance Ulanoff discussed in his iPhone 16 Pro Max review, which means Writing Tools to proofread and summarize text, smart replies in Messages, Siri’s redesign albeit not the super smart one you’re waiting for, Clean Up in Photos to remove objects from pictures, the ability to create Movie Memories, and the most underrated Apple Intelligence feature of them all: Reduce Interruptions Focus mode.
On paper, it might not sound like a lot of new additions to iOS on the best iPhone, but Apple Intelligence gives your smartphone a 2024 AI-fuelled glow-up making my new device feel fresh, rather than an incremental upgrade on my already fantastic 15 Pro Max from last year.
It’s not quite ripe, yet
So far I’ve used Apple Intelligence to reply to my girlfriend more often than I care to admit (she’s definitely realizing, so I need to be careful), quickly removed a dog toy from the background of a photo of my French Bulldog, and used Reduce Interruptions to silence unnecessary notifications. I’ve had no problem with Apple Intelligence’s performance so far while using the iOS 18.1 public beta, everything works just as expected and so much better than that initial developer beta I tried all those months ago. While it does feel like the AI features aren’t quite ripe yet, this is enough of a taster to get me excited for the lifespan of my iPhone 16 Pro Max and all the Apple Intelligence it has to look forward to.
If you’re on the fence, there are worse things you can do than try out the iOS 18.1 public beta with Apple Intelligence. But remember, it’s a beta after all.
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Guitar Hero meets Earthbound in 2024’s strangest game
For a good chunk of my young-adult life, I was obsessed with the idea of creating my masterpiece. It’s not even that I wanted to create a great work of art with something to say; I felt I had to. My fear of death led me to believe that I needed to find a way to leave a lasting legacy behind, like the filmmakers and playwrights I revered at the time. While that feeling dissipated in later years, it reformed as a constant imposter syndrome that I still grapple with from time to time. There are moments where I feel that my writing or music isn’t good enough. At other times, I become bitter when a work I’m proud of doesn’t get the attention I wished it deserved. It’s a vicious ouroboros that I struggle to break out of.
This may sound like a strangely dramatic way to introduce Starstruck: Hands of Time. If you look at the new PC game’s Steam page, you’ll find what looks like a goofy adventure that takes notes from Earthbound, Guitar Hero, and Katamari Damacy. While that’s all true, the avant-garde adventure is hiding something much more grotesque below its bubbly surface. It’s a slow-bubbling anxiety attack, one that makes for one of 2024’s most unexpectedly vital games.
Spiraling out of orbit
Starstruck: Hands of Time begins in a playful fashion. An astronaut travels back to the past after the Earth of the future is overtaken by a mysterious mold. With the help of their cheerful robo companion, they head back to the past to find the source of this sludge. That takes them to an unassumingly small town inhabited by a happy-go-lucky kid named Edwin. It’s a normal, and very misleading, start to a wild four-hour odyssey that doesn’t go anywhere you’re expecting.
In those early moments, Starstruck sets the stage for a charming suburban adventure about Edwin, a young guitarist, trying to rise to stardom within his town. His first mission is to head to a local venue and play a gig with his pals. It’s a sweet start that immediately calls Earthbound to mind, a game that’s become an important touchstone for indie developers in recent years. It makes sense; Nintendo’s classic RPG is one of the few games that really feels like it understands young people and the personal struggles they face in everyday life. In its most direct reference, Starstruck’s characters are displayed as handmade clay models that call back to the physical figures used in Earthbound’s original marketing materials.
The more Starstruck sets up its story, the more light-hearted it becomes. When I get to the venue for my show, I’m introduced to an entire Guitar Hero-type rhythm game where I play along to songs (Starstruck is even compatible with some guitar controllers). It’s a messy minigame due to some hard-to-parse guitar riffs and sloppy controller integration, but it’s another callback that puts me into a time and place. I’m once again in the mindset of a young adult wondering when my life is going to begin in between Freebird solos.
Even then, Starstruck still hasn’t played all its gameplay cards. When Edwin has trouble getting into the venue, the astronaut observing them steps in to help by sending their hand down to Earth. In a minigame reminiscent of Katamari Damacy, I need to smash as much stuff as I can around town until I can summon a hammer to knock an opening into the fence surrounding the venue. It’s a bizarre visual, but another filled with a familiar youthful energy.
Things get much weirder from there.
Only near its halfway mark, after going through those minigames a few times and meeting a few friends, does Starstruck show its hands. Edwin and his friends begin to let their different anxieties slip. It turns out that the gang is suffering from different identity issues. One charter struggles with imposter syndrome over her music; another is desperate to be the center of attention and have his work celebrated. The more those feelings come out, the more the game itself corrupts.
There’s no way to easily describe what unfolds in Starstruck’s back half; you’ll really have to see it for yourself to fully soak in its overwhelming panic attack. A cute adventure veers into eldritch horror territory as each character succumbs to their anxieties. The cheery visuals give way to avant-garde eeriness, in a turn that calls Neon Genesis Evangelion’s striking midseason direction shift to mind. The deeper these characters get into their minds, wishing they could be anywhere else than where they are in life, the farther they spin away from Earth. There’s nothing up there but darkness. It slowly swallows the entire adventure like a snake eating its own tail.
If this all sounds like a baffling mess, it is at times. Starstruck takes some wild swings that don’t always feel like they cleanly connect. Its personal story takes several detours to showcase the history of art theft, delve into the history of the Roman empire, revisit the moon landing, and more. Its gameplay can similarly feel unfocused as it hops between ideas at a rapid-fire pace. It’s confounding, but effective too. Starstruck feels like a mental breakdown in motion; it’s a throbbing brain that can’t keep its focus as it spirals deeper and deeper into philosophical despair.
Despite how out there it is, Starstruck tells a down-to-earth story that’s still sticking with me days after rolling credits. I can see myself in its insecure heroes, so desperate to be the center of the universe that they’re left alone in the cold vacuum of space. Maybe we take how miraculous it is to be a face in a crowd here on this planet for granted.
Starstruck: Hands of Time is available now on PC.
Technology
AT&T’s 2023 breach exposed data that should have been deleted
In terms of cybersecurity, 2024 has been especially unfortunate for AT&T. Agencies like the SEC and the carrier itself confirmed some data breach incidents that affected millions of customers’ data. Now, the FCC says that AT&T could have prevented one of the customer data leaks related to the hack of its cloud vendor, but it didn’t.
AT&T got a $13 million fine for a 2023 data breach related to a cloud vendor
In April of this year, AT&T found that a team of hackers breached the security of one of its cloud vendors and disclosed it publicly. The hackers were able to download millions of the carrier’s customers’ call and text records. The mobile carrier now faces a $13 million fine for its failure to protect the data. Furthermore, the government agency revealed more details regarding the incident
The name of the cloud vendor whose security was breached is not known, as the FCC’s public report refers to it as “Vendor X.” According to the report, AT&T gave “Vendor X” access to customer data from 2015 to 2017 to create personalized videos related to billing and marketing. A clause in the deal stated that the data must be “securely destroyed or deleted” by 2018. However, neither AT&T nor the cloud vendor guaranteed the destruction of the data.
The data breach originated in early 2023, several years after the 2018 deadline. So, basically, the hackers had access to information that was supposed to be destroyed years ago. The FCC revealed that the hacking team managed to download data from about 8.9 million AT&T wireless customers.
It was forced to establish new procedures for handling customer data
AT&T’s failure to take appropriate action represented a violation of data protection laws that all carriers must follow. As a result, the company was fined $13 million and forced to establish new methods for managing customer information. The monetary fine is “symbolic” considering the company’s billion-dollar profits. Investing in new security systems and procedures will likely cost more.
Fortunately, the hackers did not access extremely sensitive data such as social security or credit card numbers. However, it is surprising that AT&T left the security of millions of customers’ data in the air. This year, AT&T confirmed a separate data breach involving Snowflake, another cloud provider. This hack was especially severe, affecting call and SMS records from May to October 2022 from “nearly all” AT&T customers.
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