#Data Streams

[findyiot]

Cool Tech: Bluetooth Temperature Sensors

Problems these sensors solve:

Spoilage and Waste: In logistics and food storage, real-time monitoring minimizes losses due to improper temperature control.

Energy Inefficiency: In smart buildings, precise monitoring helps reduce unnecessary energy usage.

Safety Risks: For critical infrastructure or pharmaceuticals, beacons ensure optimal conditions, avoiding costly or dangerous consequences.

Predictive Maintenance: Early detection of temperature anomalies in industrial settings reduces unplanned downtime and extends equipment life.

Data Gaps: Continuous monitoring provides detailed insights, improving decision-making and operational efficiency.

[databuser]

Anybody wanna see me on Twitch?

Yeah, it's been a while since last time I was in that place.

Just remaking my set up for future streams. Just being experimental, you know?

See ya there!

[georgeanntremblyblog]

[fruitfulchaos]

GO BURN CD'S. GO FILL PHYSICAL DISCS. PIRATE EVERYTHING. DOWNLOAD BOOKS, MUSIC, GAMES, SHOWS, FILMS. SAVE SNAPSHOTS ON WAYBACK. FUCK THE MEDIA COMPANIES. STREAMING ISN'T FOREVER. PURCHASE ISN'T OWNERSHIP. FORGE THE OWNERSHIP WITH YOUR OWN HANDS. MAKE MEDIA YOUR BITCH. STAY VIGILANT. I LOVE YOU.

[lungthief]

based on a joke from last night’s @savedatateam aai1 stream, i present: the rise and fall of a miles edgeworth midwest princess. a look behind the scenes:

[probablyasocialecologist]

Amazon’s recent decision to stop allowing people to download copies of their Kindle e-books to a computer has vindicated some of my longstanding beliefs about digital media. Specifically, that it doesn’t exist and you don’t own it unless you can copy and access it without being connected to the internet. The recent move by the megacorp and its shiny-headed billionaire CEO Jeff Bezos is another large brick in the digital wall that tech companies have been building for years to separate consumers from the things they buy—or from their perspective, obtain “licenses” to. Starting Wednesday, Kindle users will no longer be able to download purchased books to a computer, where they can more easily be freed of DRM restrictions and copied to e-reader devices via USB. You can still send ebooks to other devices over WiFi for now, but the message the company is sending is one tech companies have been telegraphing for years: You don’t “own” anything digital, even if you paid us for it. The Kindle terms of service now say this, explicitly. “Kindle Content is licensed, not sold, to you,” meaning you don’t “buy a book,” you obtain a “digital content license.”

[...]

Amazon is far from alone in this long-running trend towards eliminating digital ownership. For many people, digital distribution and streaming services have already practically ended the concept of owning and controlling your own media files. Spotify is now almost synonymous with music for some younger generations, having strip-mined the music industry from both ends by demonetizing more than 60% of the artists on its platform and pushing algorithmic slop while­ simultaneously raising subscription fees.  Of course, surrendering this control means being at the complete mercy of Amazon and other platforms to determine what we can watch, read, and listen to—and we’ve already seen that these services frequently remove content for all sorts of reasons. Last October, one year after the Israeli military began its campaign of genocide in Gaza, Netflix removed “Palestinian Stories,” a collection of 19 films featuring Palestinian filmmakers and characters, saying it declined to renew its distribution license. Amazon also once famously deleted copies of 1984 off of people’s Kindles. Fearing piracy, many software companies have moved from the days of “Don’t Copy That Floppy” to the cloud-based software-as-a-service model, which requires an internet connection and charges users monthly subscription fees to use apps like Photoshop. No matter how you look at it, digital platforms have put us on a path to losing control of any media that we can’t physically touch. How did we get here? 

28 February 2025

[mint-mango]

he’s immune to criticism your honor

[chainsawctopus]

The princess slayyyyyed

Drew all the different princesses @savedatateam got so far on their first stream! I am once again asking you to go support them right now they're great guys please I swear

[ilikedetectives]

I love how Emma encouraged Dev to go for Minthara romance scene in Act 1 during Dev's stream, and both of their reactions when the explicit scene played out should be framed in a museum. "I'm worth it love" to "Oh my God!!" in the span of a few mins.

Meanwhile Dev's face turns RED in less than a min lol

[jcmarchi]

Transforming real-time monitoring with AI-enhanced digital twins

New Post has been published on https://thedigitalinsider.com/transforming-real-time-monitoring-with-ai-enhanced-digital-twins/

Transforming real-time monitoring with AI-enhanced digital twins

A recent McKinsey report found that 75% of large enterprises are investing in digital twins to scale their AI solutions. Combining digital twins with AI has the potential to enhance the effectiveness of large language models and enable new applications for AI in real-time monitoring, offering significant business and operational benefits.

What are digital twins?

Digital twins, originally developed to aid in the design of complex machinery have evolved significantly over the last two decades. They track and analyse live systems in real-time by processing device telemetry, detecting shifting conditions, and enhancing situational awareness for operational managers. Powered by in-memory computing, they enable fast, actionable alerts. Beyond real-time monitoring, digital twins also can simulate intricate systems like those for use in airlines and logistics, supporting strategic planning and operational decisions through predictive analytics.

Integrating digital twins with generative AI creates new opportunities for both technologies: The synergy can boost the prediction accuracy of generative AI, and can enhance the value of digital twins for system monitoring and development.

Proactively identifying anomalies with AI-powered digital twins

Continuous, real-time monitoring is a strategic necessity for organisations that manage complex live systems, like transportation networks, cybersecurity systems, and smart cities. Emerging problems must never be overlooked because delayed responses can cause small problems to become large ones.

Enhancing digital twins with generative AI reshapes how real-time monitoring interprets massive volumes of live data, enabling the reliable and immediate detection of anomalies that impact operations. Generative AI can continuously examine analytics results produced by digital twins to uncover emerging trends and mitigate disruptions before they escalate. While AI enhances situational awareness for managers, it can also pinpoint new opportunities for optimising operations and boosting efficiency.

At the same time, real-time data supplied by digital twins constrains the output of generative AI to avoid erratic results, like hallucinations. In a process called retrieval augmented generation, AI always uses the most up-to-date information about a live system to analyse behaviour and create recommendations.

Transforming data interaction with AI-driven visualisations

Unlocking insights from digital twin analytics should be intuitive, not technical. Generative AI is redefining how teams interact with massive datasets by enabling natural language-driven queries and visualisations. Instead of manually constructing intricate queries, users can simply describe their needs, and generative AI immediately visualises relevant charts and query results that provide new insights. This capability simplifies interactions and gives decision-makers the data they need. As organisations handle increasingly complex live systems, AI-powered intelligence allows them to efficiently sift through vast data pools, extract meaningful trends, and optimise operations with greater precision. It eliminates technical barriers, enabling faster, data-driven decisions that have a strategic impact.

Incorporating machine learning with automatic retraining

Digital twins can track numerous individual data streams and look for issues with the corresponding physical data sources. Working together, thousands or even millions of digital twins can monitor very large, complex systems. As messages flow in, each digital twin combines them with known information about a particular data source and analyses the data in a few milliseconds. It can incorporate a machine learning algorithm to assist in the analysis and find subtle issues that would be difficult to describe in hand-coded algorithms. After training with data from live operations, ML algorithms can identify anomalies and generate alerts for operational managers immediately.

Once deployed to analyse live telemetry, an ML algorithm will likely encounter new situations not covered by its initial training set. It may either fail to detect anomalies or generate false positives. Automatic retraining lets the algorithm learn as it gains experience so it can improve its performance and adapt to changing conditions. Digital twins can work together to detect invalid ML responses and build new training sets that feed automatic retraining. By incorporating automatic retraining, businesses gain a competitive edge with real-time monitoring that reliably delivers actionable insights as it learns over time.

Looking forward

Integrating digital twin technology with generative AI and ML can transform how industries monitor complex, live systems by empowering better real-time insights and enabling managers to make faster, more informed decisions. ScaleOut Software’s newly-released Digital Twins™ Version 4 adds generative AI using OpenAI’s large language model and automatic ML retraining to move real-time monitoring towards the goal of fully-autonomous operations. 

(Image source: Unsplash)

[ironworked]

Given the reasons behind 911's move from FOX to ABC (x, x), its ratings and viewers for this season so far, the currently developing spin-off, its year to year evolution, 911 vs its timeslot rivals and other ABC shows (shown below), and this ranking of this year's broadcast shows so far

911 year-to-year evolution:

vs ABC shows (this season):

vs timeslot rivals:

...

[earlykatgetsthesparrow]

@itspetrovichworld u want this? (I'll tag Chara later)

[rhapsoddity]

What is VSAU!Martyns 'power's? I didn't even know you had a desgin for him :○

He can hop into a pocket dimension with whatever he has on him at the time! He reappear ls exactly where he disappeared, as long as it's unobstructed. If it is, he's stuck in his pocket dimension until he can

It's useful to dodge punches by wholeass disappearing for the impact. Once he got caught in a building collapse and was trapped in there for three days, though he had his groceries so he didn't starve,, he was just super bored tho

[chaos0pikachu]

"why is 4mins getting a second season? who asked for this"

y'all hating b/c 4mins is that bitch, Megan Thee Stallion Yuki Chiba in Mumashi, fries dipped in a chocolate milkshake, Cher in Clueless

and like, also one of VIU's top performing shows on the platform but saying 4mins was having a hot girl summer is funnier so

[bartholomewtheant]

I got feelings about rats smp lore!!!!!

Just got done with the Hamrat stream and my god, the switch from "is this happening or is it a play" the chaos, trolley problem, people getting accused, Ren mumbling about not being a captain

And the sudden switch to martyn's personal lore in the end, how this has all gotten a little bit too real.

[smilegirl64]

It just hit me that Data started his journey with dreaming on the deck of the Enterprise, with his cat and his potted plant and his paintings because that's home for him. He starts the journey in an amalgamation of home and then flies off the Enterprise but we never see him leave the area and it's like a kid riding their bike for the first time and he's just getting his bearings and-