#AI data

[mysticalblizzardcolor]

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visualatelier8

Artificial Neuroorganismic AI Data sculpture by @ouchhh ___ #VisualAtelier8 is a digital publication empowering visual creatives and design innovators. Visit our website to read more articles, interviews, or submit your project. Link in bio.

[im-not-just-one]

I started getting on the internet around 2005? Started heavily getting into internet culture in 2008 when YouTube and Tumblr started. I know compared to the 90s the early 2000s had a lot of regulations on the internet, but compared to today, it was the wild west. I can say with so much certainty that being on the internet tin the early 2000s as a child felt so much safer than today as an adult where all of my information is being sold to the the highest bidder.

[victusinveritas]

[ellipsus-writes]

Note - We’ve updated this post with more tools and clarifications!

Every day, there seem to be more reasons to break up with Google.

So we’ve rounded up a bunch of privacy-centric alternatives for all your deGoogling needs.

Check out the full list over on the blog!

- The Ellipsus Team xo

[impact-newswire]

Relyance AI Unveils Data Journeys™: Redefining Trust and Visibility in the AI Era

Press Release – SAN FRANCISCO, CA – April 21, 2025 – Relyance AI, the leading AI-powered trust and governance platform that provides complete visibility and control over enterprise-wide data, today announced Relyance AI Data Journeys™ (Data Journeys), a first-of-its-kind product that enables AI innovation while introducing the new standard for trust and governance in a world where data is…

[scythe4]

I find it kind of funny that Tumblr is being used to feed ai.

Tumblr of all sites!

We're the nonsense sh*tposting site, whatever ai gets from us will probably be utter chaos.

Some people can turn it off, but if you wanna, feed that stuff as much garbage data as possible!

It'll be hilarious

[nepalniceties]

Microsoft to Invest $80 Billion in AI Data Centers by Fiscal 2025

Microsoft has announced a substantial $80 billion investment in its fiscal year 2025 to expand its global network of data centers optimized for artificial intelligence (AI)workloads.

Microsoft has announced a substantial $80 billion investment in its fiscal year 2025 to expand its global network of data centers optimized for artificial intelligence (AI)workloads. This strategic move aims to support the training of AI models and the deployment of AI-driven and cloud-based applications worldwide, according to the company’s latest blog post. Focus on U.S. Expansion Microsoft…

[zuko-always-lies]

From instructions on how to opt out, look at the official staff post on the topic. It also gives more information on Tumblr's new policies. If you are opting out, remember to opt out each separate blog individually.

Please reblog this post, so it will get more votes!

[sganalytics]

Integrating AI with Data Solutions: Transforming Data into Actionable Insights 

Traditional data analysis has relied on manual methods for interpreting information, which is very time-consuming and narrow in scope. AI integration enhances data solutions by automating the analysis process, uncovering hidden patterns, and providing predictive insights that were previously difficult to attain. 

This post will overview how Integrating AI with data solutions assists in discovering actionable insights. AI helps businesses be very proactive in responding to all trends, customer behavior, and potential risks by transforming uncooked data into actionable intelligence. 

Beneficial Examples of Integrating AI and Data Solutions for Actionable Insights 

1. Real-Time Data Capture and Trend Reporting 

Among the biggest gains of leveraging AI technologies with a data solution is real-time processing. AI-powered algorithms will enable continuous monitoring of data as soon as it enters the pipeline. Therefore, analysts can immediately identify dataset anomalies or novel opportunities. 

Consider retail, e-commerce, and apparel businesses’ use of data solutions and services powered by AI for real-time insights. They automatically process information related to transactions, sales patterns, or customer needs. Later, their representatives or algorithms can adjust an inventory of commodities. 

They can devise the best retention ideas, marketable designs, and offers based on how customers actually shop on their web portals or at their physical stores. As a result, your team will develop the right attitude to pricing and customer service strategies. That proves real-time trend depictions in AI-assisted data reports are undoubtedly integral to keeping up with market changes. 

2. Summarizing Emotions and Interpretations from Rich Content 

Every stakeholder agrees that unstructured data sources, like social media, customer reviews, and email conversations, are vital to discovering qualitative insights. That is why AI enabling extensive contextual and sentimental analytics has attracted a lot of demand. 

There is another subtext explaining why integrating AI with data solutions is becoming the norm. Given the growing significance of privacy compliance and data governance consulting, more organizations have encountered data gap issues. Their data sample size has shrunk due to frequent restrictions concerning data access and processing. 

In short, if AI can fix those data gaps, it will be indispensable to all enterprise data operations. Companies can now use related toolkits to categorize consumer responses based on positive, negative, and neutral feedback classes. Those programs can also simulate consumer responses or summarize tens of thousands of feedback messages. Consequently, any firm can enhance its context detection and user behavior datasets using qualitative insights from a smaller data sample. 

3. Predicting Future Obstacles and Opportunities 

Machine learning models and AI can also augment your teams’ predictive reports. Their integration allows organizations to schedule risk mitigation actions for better resilience. Most ML-AI ecosystems simulate “learning” functions grounded in human-validated historical data. Moreover, additional human supervision helps prevent irrelevant or irrational insights from skewing users’ understanding of the future. 

Predictive AI data solutions empower brands to forecast how customer buying behaviors might shift. They are more than capable of accounting for more nuanced demand fluctuation factors. Accordingly, investor managers can determine economic order quantities based on best seasonal and regional demand statistics. 

Future-deciphering AI and data solutions could help you with: 

Waste reduction brainstorming, 

Carbon risk estimation, 

Preparing for ever-changing workforce requirements, 

Tracking customers who might be thinking of switching to your competitors. 

Conclusion 

Integrating AI with data solutions promises better accuracy and ease of transforming extensive data into actionable insights. Besides, AI-based systems decrease the possibility of human errors and biases. Even if an enterprise faces data gap issues due to restrictive regulatory requirements, it can seamlessly attribute context-led categories to rich feedback content using AI. 

From a risk reduction perspective, the predictive insight extraction that AI technology offers is a blessing. It also assists managers in estimating whether client retention methods will work or hurt. As more sophisticated AI platforms establish their presence, more corporations will proactively invest in related data solutions. Simply put, any business that wants to thrive cannot delay AI integration. 

[techdriveplay]

What Is the Future of Digital Marketing in the Age of AI?

As artificial intelligence (AI) continues to evolve, it is dramatically altering the landscape of digital marketing. No longer just a futuristic concept, AI has become an essential tool that companies of all sizes are leveraging to streamline processes, improve customer experiences, and stay competitive. But what is the future of digital marketing in the age of AI, and how will these changes…

[8pxl]

PSA: Tumblr/Wordpress is preparing to start selling our user data to Midjourney and OpenAI.

you have to MANUALLY opt out of it as well.

to opt out on desktop, click your blog ➡️ blog settings ➡️ scroll til you see visibility options and it’ll be the last option to toggle.

to opt out on mobile, click your blog ➡️ scroll then click visibility ➡️ toggle opt out option.

if you’ve already opted out of showing up in google searches, it’s preselected for you. if you don’t have the option available, update your app or close your browser/refresh a few times. important to note you also have to opt out for each blog you own separately, so if you’d like to prevent AI scraping your blog i’d really recommend taking the time to opt out. (source)

[the-original----starwalker]

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*starts twerking*

[ahb-writes]

(from The Mitchells vs. the Machines, 2021)

[rubyvroom]

So your Spotify Wrapped Kind of Sucked

This is probably our cosmic punishment for relying on such a shady platform. But still: I have this whole year of data? Just sitting there? I'd like to do something with it?

First the classic Stats for Spotify 

Or Instead: Obscurify

Or: Instafest

mine cuts off weirdly for some reason, but my computer is ancient so that's probably it.

Or: Iceburgify

And how about: Volt.fm

OR GET ROASTED

Go forth and make data visualizations!

[impact-newswire]

Salesforce and Google Bring Gemini to Agentforce, Enable More Customer Choice in Major Partnership Expansion

Agentforce will be able to use Google’s Gemini models, allowing agents to work with images, audio, and video, handle more complex tasks using Gemini’s multi-modal capabilities and two-million-token context windows, and act using real-time insights and answers grounded in Google Search with Vertex AI Salesforce Service Cloud will become more tightly integrated with Google Customer Engagement…