#and also! gen-ai is NOT a search engine!!!!

[boredom-reigns]

youtube search function is actively shit and i hate the fact that i have to find ways around it to alleviate the problem but never fully solve it

Anyway, for those who totally don't want to find ways to fix their Youtube search results:

Disclaimer: BE CAREFUL. As always, think about whether or not you want to trust these.

uBlock Origin is your friend. Not just to block ads, but also to fix stuff for search results.

this reddit thread and this one too have lists of filters that you can use to remove sections of Youtube search, like "People also watched"

Firefox browser also has a bunch of extensions to remove Youtube shorts from your feed, if you don't like those. Up to your discretion to see which extension to trust and use to make sure it works for you. uBlock also has YT shorts filters if you don't want to add an extension.

Youtube Search Fixer for Firefox is one of them.

For those who don't want to use an extension or uBlock filters, a method I have tried is by using the search operators on youtube itself.

A common one is to add "before:2025" at the end of your search. Use a year later than current. (ex: lemon bar recipes before:2025)

You can also add your search under "" to make sure it specifically checks for those words. (ex: "music video")

Here's a list.

Speaking of search operators, while I think search browsers are kinda fucked now too, you can try searching for youtube videos outside of youtube:

just add "site:youtube.com" after your search. you can also do the "before:2025" if you want (ex: [title] book review site:youtube.com)

The "site:" search operator is helpful for searching places like reddit, twitter and even tumblr as well.

That's mainly the ones I can think about for now. If anyone has more resources, feel free to share. Again, this doesn't really fix the problem... more of just alleviating the issues.

[derinthescarletpescatarian]

what’s the story about the generative power model and water consumption? /gen

There's this myth going around about generative AI consuming truly ridiculous amount of power and water. You'll see people say shit like "generating one image is like just pouring a whole cup of water out into the Sahara!" and bullshit like that, and it's just... not true. The actual truth is that supercomputers, which do a lot of stuff, use a lot of power, and at one point someone released an estimate of how much power some supercomputers were using and people went "oh, that supercomputer must only do AI! All generative AI uses this much power!" and then just... made shit up re: how making an image sucks up a huge chunk of the power grid or something. Which makes no sense because I'm given to understand that many of these models can run on your home computer. (I don't use them so I don't know the details, but I'm told by users that you can download them and generate images locally.) Using these models uses far less power than, say, online gaming. Or using Tumblr. But nobody ever talks about how evil those things are because of their power generation. I wonder why.

To be clear, I don't like generative AI. I'm sure it's got uses in research and stuff but on the consumer side, every effect I've seen of it is bad. Its implementation in products that I use has always made those products worse. The books it writes and flood the market with are incoherent nonsense at best and dangerous at worst (let's not forget that mushroom foraging guide). It's turned the usability of search engines from "rapidly declining, but still usable if you can get past the ads" into "almost one hundred per cent useless now, actually not worth the effort to de-bullshittify your search results", especially if you're looking for images. It's a tool for doing bullshit that people were already doing much easier and faster, thus massively increasing the amount of bullshit. The only consumer-useful uses I've seen of it as a consumer are niche art projects, usually projects that explore the limits of the tool itself like that one poetry book or the Infinite Art Machine; overall I'd say its impact at the Casual Random Person (me) level has been overwhelmingly negative. Also, the fact that so much AI turns out to be underpaid people in a warehouse in some country with no minimum wage and terrible labour protections is... not great. And the fact that it's often used as an excuse to try to find ways to underpay professionals ("you don't have to write it, just clean up what the AI came up with!") is also not great.

But there are real labour and product quality concerns with generative AI, and there's hysterical bullshit. And the whole "AI is magically destroying the planet via climate change but my four hour twitch streaming sesh isn't" thing is hysterical bullshit. The instant I see somebody make this stupid claim I put them in the same mental bucket as somebody complaining about AI not being "real art" -- a hatemobber hopping on the hype train of a new thing to hate and feel like an enlightened activist about when they haven't bothered to learn a fucking thing about the issue. And I just count my blessings that they fell in with this group instead of becoming a flat earther or something.

[butteredfrogs]

i just wanna say this again because i keep seeing people talk about it: there are more types of ai than just generative ai. yes i have spoken up about people using ai and chat gpt before, because they are generative ai, they are trained using stolen content. please don’t jump to conclusions based on a twitter screenshot when (as far as i’m aware) ea have yet to actually say anything about it. im not supporting or defending ea i just think people need to stop jumping to conclusions without having all of the information.

also i’ve seen people compare this to inzoi? this is not the same from the screenshots i’ve seen this seems like more of a search engine, whereas inzoi uses GENERATIVE ai. again we don’t really know what it means by “adding ai into the game” there are a lot of different types of ai. while we know ea support gen ai from their job listing so i wouldn’t put it past them, we don’t know whether that means they are implementing it into the game, it seems like more of a search engine for the gallery (which already doesn’t work but we know ea love to create more problems than fix things what’s new there)

also i doubt this will be a forced update, so if you don’t want to support the use of ai (which is totally valid) then you don’t have to update your game. anyway overall i think people should wait for more information to come out before jumping to conclusions because often stuff like this can get blown up.

[psshaw]

You have been one of the most unapologetically yourself artists Ive come across and I dont mean that in the cliche way I mean like... your idiosyncrasies seem particularly unstifled. Your art is purely yourself and the mainstream isnt gonna go for it but the audience you do speak to gets to feel like an alien finding someone else from their homeland. AI image gen feels like a beautiful cake with flowery frosting and when you cut into it its actually frosting all the way down and has nothing of substance. I obviously can speak only in metaphors lol so I just wanted to say I appreciate reading your thoughts on AI and tho I feel strongly abt it I have a hard time putting exacting words to what about it is so worrying to me. As an artist it energizes me when I see artists who are wildly unique and expressing themselves without a care to their skill limitations or personal strangenesses (read: mainstream unmarketability). Manga artist ONE and his charming and funky style is a great example. Anyway I love your thoughts and wanted to say thanks and also throw words at you

FUCKIGN DAMN DUDE, ARE YOU TRYING TO MAKE ME CRY? Why is the weather getting misty on my face specifically. Thank you. My most contentious trait is that I keep forgetting to care what people want from me.

It's really interesting following people who are very honest but more mathy than me, because the way they talk about art and AI lately has gotten... increasingly callous. Even bitter. It's partly justified, because artists tend to suck at defending themselves charismatically. ("AI art isn't real art"; the "AI can't do hands" thing was always destined to age badly) But also, I can't stand the sheer selfishness of people who claim to be rational but don't seem know how to investigate what art at its best is for and why they view it the way they do. When I read "AI is great for hobbyists" I'm like. 95% of the time, I'M A HOBBYIST... I would never generate a script, or music... javascript maybe, but I'd feel guilty about it... but the excitement? I think some guys are just looking to suckle on a feeding tube. Cos they were done a disservice by thinking they had to stop visual art after fingerpainting!

I don't think AI NEVER has substance, but the type of person who gets excited about AI doesn't tend to do interesting things with it. And what really bothers me is that I can never tell exactly WHAT they did, versus how much was a coin flip. This is useless for understanding your voice as an artist. I don't care to see more by you.

ONE is a perfect example. His style MAKES that story. The manga and the anime feel so different. That's why I hate when people say that hating AI is discriminating against people who can't draw, cos like... if you can't make something intentional and real without using what's functionally a search engine, why would I believe you're having ideas worth the cliche conceptartdotcom overrendered AI polish at all? Not to be a dick, but like. In terms of rate of return on my attention investment, so far I'd do better by sitting at a craps table.

[cringefail-clown]

so tired. i play the sims like once every blue moon mainly to build stuff, and looking for inspo pics - especially on pinterest - became nigh impossible because of the ai slog that keeps getting uploaded there by peabrained techbros. like 70% of results from searches are infested with those illogical, physically impossible, shitty looking images. today i needed to find some reference pics of sci-fi spaceship bridges for the artwork im working on and, once again, everything is just artificially generated trash

and its not good and never will be because those ai engines techdudes get their dicks wet over simply cannot comprehend things like perspective, or basic composition - its a fucking program that bases its results on a bunch of ones and zeros and gets to the answer in the most straightforward way possible, making a shitton of mistakes anyone can spot easily

and on one hand its annoying as fuck and i roll my eyes so hard i can almost see god when i spot yet another piece of shit ai image in the wild, but i am also filled with this grim satisfaction, waiting for this whole thing to fall apart. cause it will. the more ai images get shit out into the world wide web, the more ai programs which scour websites add those already artificially generated bullshit into their databases, the more it becomes obvious what is and isnt gen ai. same mistakes get made, same words and phrases get used in essays. its a beautiful cycle of artificial intelligence cannibalising itself ouroboros style, and im patiently waiting until there are only ashes of anime waifus with three boobs and two fingers too many left

in the meantime, what can we actually do to find good references? simple, truly - follow real fucking creators. look at their portfolios, personal websites. there are a ton of folks putting out pose packs for you to use, even completely for free. you can try posing yourself! put your phone in a position you want the perspective of the pose to be in, start recording a video and just do a few poses - references like that are honestly even better than still images you can find online. look through sites like artstation for concept artists who do background work, 3d art etc and get inspired by those folks. maybe purchase artbooks that might interest you, if youve got the money for it. hell, find creators on youtube who actually do things that youre interested in drawing, be it archery poses, or hairstyles, watch and study their videos!

sites like pinterest are convinent, thats true, but at this point in time they become more and more unreliable. find creators you can trust, follow them, study from them. we have to support one another. decentralize your own online experience

[cindylouwho-2]

RECENT SEO & MARKETING NEWS FOR ECOMMERCE, JULY 2024

If you are new to my Tumblr, I usually do these summaries of SEO and marketing news once a month, picking out the pieces that are most likely to be useful to small and micro-businesses.

You can get notified of these updates plus my website blog posts via email: http://bit.ly/CindyLouWho2Blog or get all of the most timely updates plus exclusive content by supporting my Patreon: patreon.com/CindyLouWho2

TOP NEWS & ARTICLES 

There is a relatively new way to file copyright claims against US residents, called The Copyright Claims Board (CCB). I wrote more here [post by me on Patreon]

After a few years of handwringing and false starts, Google is abandoning plans to block third-party cookies in Chrome. Both Safari and Firefox already block them. 

When composing titles and text where other keywords are found, it can be useful to have a short checklist of the types of keywords you need, as this screenshot demonstrates. While that title is too long for most platforms and search engines, it covers really critical points that should get mentioned in the product description and keyword fields/tags as well:

The core keywords that describe the item

What the customer is looking to do - solve a problem? Find a gift? Feel better? 

What makes the product stand out in its field - why buy this instead of something else? Differentiating your items is something that should come before you get to the listing stage, so the keywords should already be in your head. 

Relevant keywords that will be used in long tail searches are always great add-ons.

What if anything about your item is trendy now? E.g., sustainability? Particular colours, styles or materials/ingredients are always important.  

SEO: GOOGLE & OTHER SEARCH ENGINES 

Google’s June spam update has finished rolling out. And here is the full list of Google news from June. 

Expect a new Google core update “in the coming weeks” (as if we needed more Google excitement).

Google’s AI overviews continue to dwindle at the top of search results, now only appearing in 7% of searches.

Despite Google trying to target AI spam, many poorly-copied articles still outrank the originals in Google search results. 

Internal links are important for Google SEO. While this article covers blogging in particular, most of the tips apply to any standalone website. Google also recently did a video [YouTube] on the same topic. 

Google had a really excellent second quarter, mostly due to the cloud and AI. 

Not Google

OpenAI is testing SearchGPT with a small number of subscribers. Alphabet shares dropped 3% after the announcement. 

SOCIAL MEDIA - All Aspects, By Site

General

New social media alert: noplace is a new app billed as MySpace for Gen Z that also has some similarities with Twitter (e.g., text-based chats, with no photos or videos at this time). iOS only at the moment; no Android app or web page. 

Thinking of trying out Bluesky? Here are some tips to get the most out of it. 

Facebook (includes relevant general news from Meta)

Meta’s attempt at circumventing EU privacy regulations through paid subscriptions is illegal under the Digital Markets Act, according to the European Commission. “if the company cannot reach an agreement with regulators before March 2025, the Commission has the power to levy fines of up to 10 percent of the company’s global turnover.”

If you post Reels from a business page, you may be able to let Meta use AI to do A/B testing on the captions and other portions shown. I personally would not do this unless I could see what options they were choosing, since AI is often not as good as it thinks it is. 

Apple’s 30% fee on in-app ad purchases for Facebook and Instagram has kicked in worldwide as of July 1. 

Facebook is testing ads in the Notifications list on the app. 

Meta is encouraging advertisers to connect their Google Analytics accounts to Meta Ads, claiming “integration could improve campaign performance, citing a 22% conversion increase.”

Instagram

The head of Instagram is still emphasizing that the number of DM shares per post is a huge ranking factor. 

LinkedIn

Another article on the basics of setting up LinkedIn and getting found through it. 

You can now advertise your LinkedIn newsletters on the platform. 

Pinterest

Pinterest is slowly testing an AI program that edits the background of product photography without changing the product. 

Is Pinterest dying? An investment research firm thinks so. 

Reddit

If you want to see results from Reddit in your search engine results, Google is the only place that can happen now. 

More than ever, Reddit is being touted as a way to be found (especially in Google search), but you do have to understand how the site works to be successful at it. 

Snapchat

Snapchat+ now has 9 million paying users, and they are getting quite a few new personalization updates, and Snaps that last 50 seconds or less. 

Threads

Threads has hit 175 million active users each month, up from 130 million in February. 

TikTok

TikTok has made it easier to reuse your videos outside of the site without a watermark. 

TikTok users can now select a custom thumbnail image for videos, either a frame from the clip itself, or a still image from elsewhere.  

Twitter

You can opt out of Twitter using your posts as data for its AI, Grok. 

YouTube

YouTube has new tools for Shorts, including one that makes your longer videos into Shorts. 

Community Spaces are the latest YouTube test to try to get more fan involvement, while moving users away from video comments.

(CONTENT) MARKETING (includes blogging, emails, and strategies) 

Start your content marketing plans for August now, including back-to-school themes and Alfred Hitchcock’s birthday on August 13. 

ONLINE ADVERTISING (EXCEPT INDIVIDUAL SOCIAL MEDIA AND ECOMMERCE SITES) 

Google Ads now have several new updates, including blocking misspellings. 

Google’s new Merchant Center Next will soon be available for all users, if they haven’t already been invited. Supplemental feeds are now (or soon will be) allowed there. 

STATS, DATA, TRACKING 

Google Search Console users can now add their shipping and return info to Google search through the Console itself. This is useful for sites that do not pay for Google Ads or use Google’s free shopping ads. 

BUSINESS & CONSUMER TRENDS, STATS & REPORTS; SOCIOLOGY & PSYCHOLOGY, CUSTOMER SERVICE 

The second part of this Whiteboard Friday [video with transcript] discusses how consumer behaviour is changing during tight economic times. “People are still spending. They just want the most for their money. Also, the consideration phase is much more complex and longer.” The remainder of the piece discusses how to approach your target market during these times. 

Prime Day was supposedly the best ever for Amazon, but they didn’t release any numbers. Adobe Analytics tracked US ecommerce sales on those days and provides some insight. “Buy-now, pay-later accounted for 7.6% of all orders, a 16.4% year-over-year increase.”

MISCELLANEOUS

You know how I always tell small business owners to have multiple revenue streams? Tech needs to have multiple providers and backups as well, as the recent CrowdStrike and Microsoft issues demonstrate. 

If you used Google’s old URL shortener anywhere, those links will no longer redirect as of August 25 2024. 

[letbuckfuck]

In what ways are you pro AI? Are you pro AI art, pro AI writing, etc? Or more on the targeting cancer cells/medical use etc kind of thing? /gen

in the sense that i think it's dangerous to demonize advancing technology like AI and counterproductive to try to ban it (which i'm pretty sure schools have tried to do) and could be a slippery slope into restricting knowledge and censorship. also i think the way people humanize AI when they talk about it is a little weird sometimes because tech on its own is a very neutral tool that can definitely be misused and have bad consequences but that's due to a) people having bad intentions and AI just making it easier for them to carry those out and b) people misunderstanding how AI works and using it, for example, as a search engine when that's literally not what it was ever meant for

[fourhornedsatyr]

As an avid fan of Mike Pondsmith's Cyberpunk setting I cannot help but just look at the year 2024 in the US and be like: Yea Mike, you were a little off and a bit ahead, or a lot, but like holy fuck the internet and cyber tech has been so misused and is now the tool of corporations to fuck us over.

First off, phone phishing??? I have spam filters and still get 2-5 phishing phone calls a day that, if I do pick up, try to trick me into giving away my voice and data. This has become so common that literally no one I know answers a call unless they know the number or are actively awaiting a call from an unknown number (for job interviews, appointments, etc).

We, on the regular, deal with AI that is meant to steal our voices, names, and other cruical data. This has brought us to manage unknown numbers the same way we manage superstitious entities such as fae in fairy tales. How fucked up is that?

Streaming, once an alternative to and then a replacement of video stores, has come to replace TV and is severely less consumer friendly as access to media has become severely fragmented by the corporate nature of these services. I won't even get into the decreasing quality of popular media, just simply look at Disney to see the shift.

Social media? Something that was meant to connect family, friends, and community? Yea, that's now a sespool of ads, has algorithms that will try to feed you misinformation, and has been made into an addictive drug meant to keep people seperated and inactive in the freetime that we have.

There's come a large group of people in my generation (gen Z) and those who came before us (Millenials), who simply do not pay for our media. Piracy of old and new movies, shows, videogames, music, and even books has simply become the norm because we cannot afford to pay for it, and what we can access on the corpo sites has been severely reduced in quality by easily evaded ads.

And what do I have to say to that? We live in a capitalist society and we gotta play the game to live until we break it. They can't create a product that we're willing to use? Boohoo, someone outcompeted them by providing us with a product that removes ads that only serve to degrade, seperate, or comodify us. Corporations act like they deserve our subservience, money, and labor -- they don't.

Moving on from just entertainment and social media, search engines, our phones, and nearly everything we have to access the internet is used to track us and sell our data so that we may be comodified more efficiently by the corpos. We may say "I'm gonna google that", but many of us have stopped using google and other engines because of how bad they are at actually giving us good results. Task specific search engines and ones that don't track or sell our data (like duckduckgo) have become common place.

Also, just, most people do not own their own media? Some people don't own a single movie, show, song, book, videogame, or any other digital media and instead opt to stream them (ie spotify) or purchase access to them (ie steam). I know very few people in my generation who own a cd player or any type of physical music, and it just throws me.

The internet and digital tech could have been so much better and can do so much good, but no, it's used for capitalism instead.

Wage theft, job theft, piracy, and phishing.

Down with the capitalist system, let's bring on a future wherein our art, knowledge, social forums, and automatons are not weaponized against us so that we may share the resources we need to survive, thrive, and live fulfilling lives.

[govindhtech]

Vodafone And Google Cloud Unlock Gen AI For Telecom

Vodafone And Google Cloud Explore Telecom Gen AI Potential

Globally, generative AI is changing sectors, and the telecom sector is no exception. Generative AI has the potential to completely change the telecom sector, from individualized customer service and efficient content production to network optimization and increased efficiency.

Leading telecoms company Vodafone is aware of the enormous potential of advanced AI to transform its network engineering, development, and operations. Vodafone is starting an exciting journey to include generative AI into its network operations as part of its expanding, multi-decade cooperation with Google Cloud. The goal is to boost productivity, stimulate innovation, and optimize costs.

This blog post will explore the innovative ways that Google Cloud and Vodafone have used generative AI to increase productivity, creativity, and customer pleasure. They look at practical applications and give an overview of how this game-changing technology will develop inside Vodafone in the future.

The genesis of generative AI in Vodafone’s network

When Vodafone and Google Cloud began talking about the possible uses of gen AI in network use cases in late 2023, the roots of this partnership were planted. In March 2024, Vodafone and Google Cloud launched a hackathon in recognition of the technology’s revolutionary potential, bringing together more than 120 network experts with extensive knowledge of networks and telecoms but little expertise with AI/ML.

Innovation was sparked by this event, which led to the creation of 13 demonstration use cases using a combination of classical machine learning methods, Vertex AI Search & Conversation, Gemini 1.5 Pro, and a code generation model. These comprised:

AI-powered site evaluations: Using pictures, determine whether installing solar panels at RAN locations is feasible right away.

Using natural language searches, Doc Search for Root-Cause-Analysis (RCA) enables staff members to find pertinent material fast.

Natural language to SQL (NL2SQL): Developing intuitive user interfaces to enable colleagues who are not technical to use generative AI for activities such as SQL query generation.

Network optimization is the process of creating AI-driven tools to identify problems with networks, forecast possible outages, and help with setup.

With the help of Vodafone’s industry knowledge and the expanding possibilities of cloud computing, these creative solutions show how easily generative AI can be applied to real-world problems in the telecom sector. When the creative use cases from the Vodafone and Google Cloud hackathon specifically, RCA and NL2SQL were presented together at DTW 2024 in Copenhagen, other telecom companies keen to leverage the potential of generative AI expressed a great deal of interest.

Unveiling the potential: Understanding the network design, deployment and operations workflows

In order to have a thorough grasp of the normal workday in network departments, Vodafone and Google Cloud conducted in-depth interviews with a variety of network stakeholders. Network professionals’ problems and difficulties were clarified by these interviews, which also showed a wide range of areas where gen AI may be very beneficial.

The business case study that followed showed how using modern AI technologies might result in significant time and cost savings.

Vodafone and Google Cloud demonstrated the concrete advantages of gen AI in optimizing workflows, improving decision-making, and boosting efficiency, with over 100 use cases emerging from this network space discovery phase. Vodafone is working with Google Cloud to produce the following prioritized sample of gen AI for network use cases:

Empowering network operations with knowledge at their fingertips

During complicated occurrences, network operations teams frequently struggle to obtain vital information. It can take a lot of effort and impede quick resolution to move away from extensive documentation, incident reports, network topologies, and strategic plans. Vodafone is giving network operators immediate access to the information they require by leveraging Vertex AI Agent Builder‘s capability to extract and synthesize relevant information from these documents. They are able to make well-informed decisions more quickly as a result, which lowers downtime and improves network dependability overall.

Streamlining network engineering with automated documentation

It takes a lot of effort and time to create technical documentation, including network diagrams, high-level designs (HLDs), and low-level designs (LLDs). Multiple engineers and vendors are frequently involved, which might cause delays and irregularities. Vodafone plans to automate the creation of these papers by utilizing Gemini’s multimodal capabilities and artificial intelligence. Although human inspection is still essential, gen AI may offer a strong basis, saving engineers time, speeding up time to market, and enhancing the precision and coherence of technical documentation.

Transforming network development with data-driven insights

Large volumes of contractual data are thrown at network development teams, making analysis and decision-making difficult. Vodafone will using gen AI to examine thousands of contracts, extracting important terms and provide insightful information for the creation of contract templates. Together with ground categorization skills, gen AI can also make it possible to create digital twins of the Vodafone network. This minimizes mistakes and maximizes resource allocation by enabling more precise and efficient design and implementation of new network actions.

Enhancing customer fulfillment with AI-powered field technicians

Field technicians are essential to guaranteeing client pleasure. On-site visits, or truck rolls, are expensive and time-consuming. Vodafone will reduce the need for truck rolls, enable more efficient on-field responses, and prevent repeat dispatch by utilizing gen AI to provide field professionals with real-time information and multimodal troubleshooting help. Vodafone will save a lot of money as a result, and customers will have better experiences.

These applications demonstrate how gen AI has the ability to completely change a number of facets of Vodafone’s network operations. Vodafone’s usage of Gen AI is driving innovation and enabling a more customer-focused, agile, and efficient future.

Vodafone’s big bet: generative AI for the future

Vodafone’s network divisions stand to gain a great deal from the incorporation of Gen AI:

Zero-touch operations and accelerated automation: Gen AI can speed up network job automation, helping Vodafone meet its automation objectives more quickly and effectively.

Cost reduction: Gen AI can drastically cut Vodafone’s operating expenses by automating repetitive processes and streamlining network operations.

Time savings: Network workers may save a significant amount of time by using Gen AI-powered solutions to optimize operations and facilitate quicker decision-making.

Increased effectiveness: Gen AI has the potential to increase Vodafone’s network operations’ overall effectiveness through clever automation and optimization.

Innovation catalyst: Gen AI gives Vodafone the ability to stay ahead of the curve by creating new opportunities for innovation in network management, optimization, and design.

Building on past success: AI Booster and Neuron

Vodafone’s ambitious aim to integrate generative AI into all facets of its company is based on AI Booster and Neuron. Vodafone relies on these programs to research and apply cutting-edge AI.

Vodafone uses AI Booster, a Google Cloud Vertex AI-based machine learning platform, to build AI. Fast and efficient design allows this platform to create and apply AI models quickly. AI Booster’s strong automation and security features enable Vodafone’s data scientists to move from proof-of-concept to production with ease, greatly speeding up the rate of innovation.

Neuron, Vodafone’s specially designed “data ocean” hosted on Google Cloud, is a perfect match for AI Booster. As a central hub, Neuron compiles enormous volumes of data from all throughout the company into a single, easily accessible storehouse. The creation of potent generative AI applications is fueled by this data, which is essential for AI models training and analysis.

Imagine having an AI that can forecast possible problems, evaluate the performance of network components, and even recommend the best settings to avoid downtime. Vodafone is enabling this kind of revolutionary impact by fusing the extensive data resources of Neuron with the model creation capabilities of AI Booster.

Vodafone is able to create and implement innovative AI solutions with speed and efficiency thanks to the collaboration between AI Booster and Neuron. Faster insights, more precise forecasts, and eventually an improved customer experience are the results of this. Vodafone is putting itself at the forefront of the generative AI revolution in the telecom sector by making an investment in this strong foundation.

In conclusion

Vodafone’s work on generative AI marked a turning point in CSPs’ AI-powered future. Vodafone can use current AI to generate remarkable productivity, innovation, and cost savings. Vodafone’s dedication to pushing the limits of technical progress and providing its customers with outstanding network experiences is shown by this strategic cooperation with Google Cloud.

Read more on Govindhtech.com

[fromdevcom]

When choosing between a knowledge graph and a vector database for smart data handling, it's essential to grasp the advantages and applications of each. Each technology provides effective methods for handling and searching data, yet they are designed for various purposes and situations. Knowledge Graphs: Structured Relationships Knowledge graphs are highly effective at capturing and querying relationships between entities. They organize data into nodes (representing entities) and edges (representing relationships), creating a graph-based structure. This arrangement supports intricate queries that can explore relationships, making knowledge graphs particularly well-suited for situations where the connections between data points are as crucial as the data itself. For example, in a knowledge graph, you might have nodes representing people, organizations, and events. The edges between these nodes can represent relationships like "works for," "attended," or "founded." This allows for queries like "Which people attended events hosted by a specific organization?" to be executed efficiently. Knowledge graphs are particularly powerful in domains like recommendation systems, fraud detection, and knowledge management. They are also widely used in semantic search engines, where understanding the meaning behind search queries requires a deep understanding of the relationships between concepts. Vector Databases: Managing Unstructured Data Vector databases are specifically built to manage unstructured data, including text, images, and audio. They represent data as high-dimensional vectors, which mathematically capture the essence or meaning of the data. This enables similarity searches, allowing you to find data points that are "close" to each other in vector space, even if they are not exactly the same. In a vector database, text can be transformed into a vector that captures its underlying meaning. These vectors can then be compared to identify similar texts, even when the words used differ. This makes vector databases particularly useful for tasks such as semantic search, recommendation systems, and natural language processing. Vector databases are increasingly being used in applications that involve AI and machine learning. They are well-suited for managing large-scale, unstructured data where traditional databases might struggle. Choosing the Right Technology When deciding on a knowledge graph or a vector database, the key consideration is the nature of your data and the type of queries you need to perform. Data Structure If your data is highly structured, with clear entities and relationships, a knowledge graph is likely the better choice. Knowledge graphs are optimized for handling structured data and can efficiently execute complex queries that involve multiple relationships. Query Requirements If your queries involve traversing relationships or understanding the connections between data points, a knowledge graph is more suitable. For example, if you need to find all individuals connected to a specific entity through multiple relationships, a knowledge graph can handle this with ease. Unstructured Data If your data is largely unstructured, such as text, images, or audio, and you need to perform similarity searches, a vector database is the better option. Vector databases are designed to handle the challenges of unstructured data and can perform searches based on the meaning or content of the data rather than exact matches. Scalability Non functional requirement scalability is important for your application. Knowledge graphs can scale well for structured data, but they may require significant computational resources as the complexity of the graph increases. Vector databases, on the other hand, are designed to handle large-scale unstructured data and can scale more easily for applications involving AI and machine learning. Integration with AI If your application involves AI or machine

learning, especially tasks like recommendation systems or natural language processing, a vector database is likely the better fit. Vector databases can easily integrate with AI models and handle the high-dimensional data that these models generate. Use Cases for Knowledge Graphs Knowledge graphs are best for applications where it's important for the stakeholders to understand and navigate relationships between data points. Here are some common use cases below: Recommendation Systems: Knowledge graphs can enhance personalized recommendations by analyzing the relationships between users, products, and their preferences. Fraud Detection: In financial services, knowledge graphs can help identify suspicious patterns by analyzing the relationships between transactions, accounts, and individuals. Knowledge Management: Organizations use knowledge graphs to organize and retrieve information efficiently, making it easier for employees to find relevant data. Supply Chain Management: Knowledge graphs can help track and optimize supply chain processes by mapping relationships between suppliers, manufacturers, and distribution networks. Use Cases for Vector Databases Vector databases are best suited for applications involving unstructured data and similarity searches. Common use cases include: Semantic Search: Vector databases can enhance search engines by allowing them to understand the meaning behind queries and find relevant results, even if they don't contain the exact keywords. Recommendation Engines: By comparing user preferences and behavior, vector databases can recommend similar items, even if the user hasn't explicitly searched for them. Natural Language Processing: Vector databases can store and query the vectors generated by language models, enabling applications like chatbots, sentiment analysis, and machine translation. Image and Video Retrieval: Vector databases can search and retrieve similar images or videos based on content, enabling applications like visual search and media recommendation systems. Conclusion Choosing between a knowledge graph and a vector database hinges on what your application requires. Knowledge graphs are more appropriate for organized data and intricate queries about relationships, whereas vector databases are more effective at managing unorganized data and searching for similarities. Grasping the characteristics of your data and the demands of your queries will assist you in selecting the appropriate technology for smart data handling. By selecting the appropriate technology, you can ensure that your data management strategy is aligned with your business goals, enabling more effective decision-making and better insights from your data.

[dizzy-and-hard]

Using generative AI as a way of teaching languages, especially varying between formal and informal versions, is extremely effective.

Yeah, writing an email you should be able to do, and there's hundreds of resources available to teach you.

Don't use it as a search engine either.

I understand the issues with gen AI, I'm assuming better than you (I have a masters thesis on it, though I also know many people are smarter than me on this stuff).

Using chat gpt to replace your brain is bad and embarrassing. Using it as a tool to help you improve your weaknesses is not terrible.

We need to stop applying blanket statements to everything. It's so lazy and unhelpful

we need to make using chatgpt embarrassing bc sorry it really is. what do you mean you can’t write an email

[annaasher123]

5 Digital Marketing Trends UK Agencies Are Embracing in 2024

1. AI-Powered Personalization and Content Technology 

Artificial intelligence (AI) continues to reshape digital advertising, allowing for advanced degrees of personalization and automating factors of content material advent. In 2024, Digital marketing companies in UK are adopting AI tools that examine full-size quantities of patron facts to create noticeably tailor-made campaigns. This consists of the usage of predictive analytics to anticipate purchaser needs and offer content that aligns closely with character preferences. AI-powered chatbots and customer support assistants are also allowing companies to deliver immediate, personalized responses to clients, enhancing user reports. Groups are going beyond basic algorithms through leveraging gear like ChatGPT, Jasper, and DALL-E for content introduction. These AI equipment permits entrepreneurs to provide copy, visuals, or even video scripts in seconds, reducing time spent on repetitive tasks and permitting innovative groups to focus on approach. United Kingdom brands are increasingly inquiring about these AI-driven offerings to improve engagement and convert leads faster, a trend that agencies are effortlessly meeting.

2. Video advertising and marketing throughout new and rising platforms 

Video advertising has been on the upward thrust, but in 2024, UK groups will specialize in increasing their video advertising techniques to emerging structures and codecs. As Gen Z and younger audiences shift away from conventional social systems, entrepreneurs are venturing into new areas such as BeReal, Lemon8, and the recent surge in AI-driven interactive content. Short-form motion pictures stay famous on hooked-up structures like TikTok and Instagram, but longer, educational motion pictures at the moment are gaining traction on LinkedIn and YouTube. Interactive video content material, which includes shoppable movies and stay-streamed Q&A classes, is likewise famous amongst UK organizations. By making content material interactive and actionable, manufacturers are seeing better engagement rates. Moreover, with greater consumers' annoying authenticity, “in the back of the scenes” and user-generated content (UGC) are preferred tactics, supporting brands to construct belief and connect with their audiences on a more non-public level.

3. Voice and visual search optimization 

Voice and visual seek capabilities have grown with the increase in smart audio systems and progressed photograph popularity technologies. In 2024, United Kingdom corporations are capitalizing on this trend by optimizing content material for voice and visual searches. This calls for now not only being focused on long-tail key phrases but additionally supplying content that aligns with the conversational fashion of voice searches. Moreover, brands are optimizing image descriptions and alt tags to cater to customers looking visually thorough structures like Google Lens and Pinterest. As consumers maintain a visible search to discover merchandise based totally on photographs, in particular in fashion, domestic decor, and way of life sectors, UK businesses are supporting brands to replace their search engine optimization techniques. By optimizing their websites and content material to be compatible with those emerging search strategies, manufacturers can increase visibility and engagement. Voice and visible seek optimization have grown to be critical in developing an unbroken omnichannel experience that meets client expectations.

4. Better information privateness and primary-celebration records strategies 

With developing policies like GDPR and the upcoming Digital Markets Act, information privacy has grown to be a pinnacle priority for marketers in the UK. Businesses are moving their techniques to awareness on first-celebration information collection and lowering reliance on 1/3-celebration cookies. Accumulating information directly from purchasers via consent-pushed processes, like subscription paperwork and loyalty programs, allows brands to customize stories while staying compliant. UK businesses are also leveraging client facts platforms (CDPs) to centralize and manage first-celebration records extra successfully. Those platforms allow companies to gain insights into purchaser options without compromising privacy. Via integrating CDPs, manufacturers can tailor messages and give to particular customer segments in actual time. First-party records techniques are also proving treasured in constructing considerations with clients, who are increasingly involved in approximately how their records are used and stored.

5. Sustainable and reason-pushed advertising and marketing 

Clients are getting extra aware of the manufacturers they help, seeking those who align with values consisting of sustainability, social responsibility, and moral practices. In 2024, UK companies are assisting brands construct motive-pushed advertising and marketing campaigns that resonate with those values. Groups are embracing sustainable practices inside their own operations as well, which enables decorate brand popularity and appeal to eco-conscious audiences. United Kingdom marketers are incorporating sustainable storytelling in campaigns, showcasing products, sustainable sourcing, and emblem initiatives that supply lower back to groups. This fashion consists of each digital and offline strategy, with a focal point on transparency and authenticity. Companies are also advising manufacturers on a way to talk about sustainability efforts without "greenwashing" to avoid backlash and hold credibility.

Conclusion

In 2024, Digitall marketing agencies in UK are leveraging these 5 traits—AI-powered personalization, expanded video advertising, voice and visible search optimization, statistics privacy techniques, and cause-pushed advertising—to navigate the unexpectedly evolving digital landscape. As manufacturers are seeking to engage audiences with extra tailor-made, ethical, and modern processes, United Kingdom organizations are meeting the call with strategies that combine the era with a renewed consciousness on customer consideration and sustainability.

[derinthescarletpescatarian]

#yeah#generative AI just keeps reminding me of machnine translation#where the tech existing has been an enormous boon to all kinds of people and accessibility across so many walks of life#and it is also true that it destroyed translation as a professional field in general#and to this day deflates wages and encourages companies to cut corners in ways taht harm everyone#and the solution is not to ban machine translation#it is to fucking regulate the bullshit capitalists do with it to mitigate the harm#anyone who is calling the use of gen AI categorically evil had best never touch google translate#or at least accept that they are a massive fucking hypocrite

Machine translation and generative AI do both have one massive drawback that is one of my biggest bugbears with both technologies: they're both shit. Machine translation does have massive advantages and allows at-home, low-effort translating, as well as greatly expands the number of things that creators can afford to translate, which is great! It also means that things that are supposed to have decent translations now have absolutely terrible translations, because rather than hiring a professional to do it, companies just plug it into The Machine. If your product requires translation, why spend money for a professional to do it properly when you can get a kind-of-coherent mess for free? What's the customer gonna do, use a different product that's also translating to a kind-of-coherent mess for free?

Customer-facing AI products (the ones that aren't bafflingly stupid and unnecessary concepts with 'ai' put on the front or thin masks stretched over malware and data harvesters -- actually, no, those ones too) are worse at their jobs than what they're replacing. Things like Duolingo and Grammerly noticeably tanked in quality after switching, customer service chatbots are somehow even more useless than they used to be now that they can hallucinate nonexistent answers and discounts for you instead of linking you to the FAQ based on keywords in your enquiry, search engines give wildly inaccurate answers synthesised from blindly harvesting from other pages (sometimes little-visited pages that are now being further deprived of attention as the search engine takes advantage of their creator's work and doesn't display the actual page), and even if we set aside the labour concerns for the moment, the flood of mindless autogenerated articles, bland art, pointless error-ridden stories with neither purpose nor even consistent context, actively dangerous 'non-fiction' books, and max-impact generated videos has made pretty much every artistic market with any digital component actively worse.

It's worth noting, though, that none of these things were invented by modern AI. These problems all existed before these tools were ever developed. Customer service bots always sucked, meaningless schlocky books pumped out by ghostwriters working a gig economy for below-poverty wages at the behest of some grifter picking topics from a 'most searched terms' list were an old problem years ago, shitty top-ten lists full of errors and made up bullshit are as old as print, and people have been sampling, tracing, and stealing each others' art since long before the internet. What modern AI, particularly generative AI, has done is make them cheaper and easier to get away with. It has created zero problems, and exacerbated many that were already pervasive. Addressing these problems directly is a far better use of our time than attacking the whole technology directly (which is a bubble that's going to burst within a few years anyway). And trying to kill some niche side uses of the technology by massively expanding copyright laws will create far more problems than it could possibly mitigate.

What I don't get is that other your support of AI image generation, you're SO smart and well read and concerned with ethics. I genuinely looked up to you! So, what, ethics for everyone except for artists, or what? Is animation (my industry, so maybe I care more than the average person) too juvenile and simplistic a medium for you to care about its extinction at the hands of CEOs endorsing AI? This might sound juvenile too, but I'm kinda devastated, because I genuinely thought you were cool. You're either with artists or against us imho, on an issue as large as this, when already the layoffs in the industry are insurmountable for many, despite ongoing attempts to unionize. That user called someone a fascist for pointing this out, too. I guess both of you feel that way about those of us involved in class action lawsuits against AI image generation software.

i can't speak for anyone else or the things they've said or think of anyone. that said:

1. you should not look up to people on the computer. i'm just a girl running a silly little blog.

2. i am an artist across multiple mediums. the 'no true scotsman' bit where 'artists' are people who agree with you and you can discount anyone disagrees with you as 'not an artist' and therefore fundamentally unsympathetic to artists will make it very difficult to actually engage in substantive discussion.

3. i've stated my positions on this many times but i'll do it one more: i support unionization and industrial action. i support working class artists extracting safeguards from their employers against their immiseration by the introduction of AI technology into the work flow (i just made a post about this funnily enough). i think it is Bad for studio execs or publishers or whoever to replace artists with LLMs. However,

4. this is not a unique feature of AI or a unique evil built into the technology. this is just the nature of any technological advance under capitalism, that it will be used to increase productivity, which will push people out of work and use the increased competition for jobs to leverage that precarity into lower wages and worse conditions. the solution to this is not to oppose all advances in technology forever--the solution is to change the economic system under which technologies are leveraged for profit instead of general wellbeing.

5. this all said anyone involved in a class action lawsuit over AI is an enemy of art and everything i value in the world, because these lawsuits are all founded in ridiculous copyright claims that, if legitimated in court, would be cataclysmic for all transformative art--a victory for any of these spurious boondoggles would set a precedent that the bar for '''infringement''' is met by a process that is orders of magnitude less derivative than collage, sampling, found art, cut-ups, and even simple homage and reference. whatever windmills they think they are going to defeat, these people are crusading for the biggest expansion of copyright regime since mickey mouse and anyone who cares at all about art and creativity flourishing should hope they fail.

[systemtek]

BT Group’s Digital Unit launches GenAI Gateway platform powered by AWS

BT Group’s Digital Unit has announced the launch of an innovative internal platform to help the company tap into the power of large language models (LLMs) from providers such as Anthropic, Meta, Claude, Cohere, and Amazon. The GenAI Gateway, built in collaboration with AWS and using Amazon Bedrock, Amazon SageMaker and AWS Professional Services capabilities, provides secure, private access to a range of natural-language processing and large language models, a critical tool BT Group will use as it embeds AI into the way it runs the business. Ad-hoc use of LLMs, whilst appropriate for test and development work, is not well suited to large scale use; cost control, security and privacy need more careful management. LLM performance also needs to be monitored, for unexpected errors (e.g. “hallucinations”) and model decay over time (where LLMs stop behaving as expected). The GenAI Gateway also gives BT Group protection against ‘lock-in’ to any given LLM if any other issues emerge. The use of GenAI Gateway platform will encourage BT Group engineers to use the right model for the right use case, at the right price, as it supports per-use case budget tracking. A consolidated platform reduces duplication of effort and resources, as BT Group scales the adoption of generative AI. Application programming interfaces (APIs), security configuration and infrastructure management, can all be managed centrally, reducing the risk of error and the cost of maintaining separate LLMs for every use case. GenAI Gateway, deployed on AWS, is accessed via secure APIs, like all the components of BT Group’s modular digital architecture. GenAI Gateway uses Amazon Bedrock, a fully managed service that offers a choice of high-performing foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API; as well Amazon SageMaker, a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning for any use case.  The platform supports prompt security, chat history, FinOps billing per use case, enterprise search, as well as use of multiple corporate data sources. Central privacy controls include separate tenants for each use case, the use of Personal Identifiable Information filters, the location of the data within the UK and the isolation of trained models from each other, protecting data in line with Group policies and relevant regulation. Guardrails are built into the GenAI Gateway, limiting the risk of jailbreaks or toxic interactions, filtering out queries that go beyond the remit of specific applications – ensuring both performance and ethical guardrails are built-in by design.   Gen AI Gateway is one of the several key enablers we are deploying to enable BT Group as an AI-enabled enterprise, and we will also use our “data fabric” data management platform to help enforce governing policies for how data can be used, as well as to manage access control and data sovereignty restrictions. GenAI Gateway is live today with the first beta use cases. A trial in Openreach is summarising engineering notes on Ethernet and full fibre jobs, helping to simplify processes and boost productivity for its teams and Communications Provider customers. A second use case, supporting contract analysis for the Group’s Business, legal and procurement teams, is also live. Fabio Cerone, GM EMEA Telco at AWS, said: “The BT Group GenAI Gateway is showcasing how enterprises can effectively deploy generative AI at scale and speed. It’s been a brilliant, pioneering opportunity to collaborate and work backwards from the customer to provide a way to accelerate deployment of generative AI use cases into production with embedded security and compliance. The GenAI Gateway will trigger the flywheel effect in the adoption of generative AI, delivering quicker results for BT Group and its customers.” Deepika Adusumilli, Managing Director, Data & AI, BT Group’s Digital Unit said: “AI is helping us reimagine the future of our company. We believe that where our data is a constant, we need flexibility with our LLMs. GenAI Gateway allows us to tap into this powerful new set of technologies at scale, in a way that is safe, responsible, flexible and scalable, delivering the ambition we have for AI to unlock the human potential within BT Group, today and in the future.” Read the full article

[harigsblog]

The Next Gen of SEO – New Technologies and Trends

New technologies and trends transform SEO world. Companies can manage to keep up and flourish in this ever-evolving industry by adapting to these trends, observing search engine algorithms, providing user value, and integrating SEO with digital marketing efforts.

Content quality is still essential to a great SEO approach in 2024, content aglow with search queries, content relevancy, and visual search engines are still the key to a great SEO effort. Keywords and backlinks plays a key role in SEO. Tools like rank tracker plus is a big advantage for people working in this sector.

Artificial Intelligence

AI technologies like generative search and knowledge graphs are transforming SEO by abandoning keyword-based algorithms and promoting context-relevant, genuine and useful content. Search engines no longer prioritize content based on keyword density, but instead prioritize content that gives users experience.

In the new world of AI and voice, user intent will never leave the forefront of search engine optimization. That includes leveraging conversational keywords matching searches and implementing mobile-first indexing.

Experience will also remain a ranking driver, with Google’s Core Web Vitals promoting faster, interactive and stable sites. Also, it will be governed by the E-A-T principle; sites that are relevant, authoritative and trusted in their field will receive rewards for being relevant to searches. In entities and knowledge graphs, we’ll see more SEO benefits by enabling companies to find relevant leads more precisely.

Voice Search

With virtual assistants like Amazon Alexa and Siri, voice search has already become a part of user experiences that is transforming the ways humans access technology; SEO is playing an integral part in that process.

SEO is no longer about keywords and keyword research — instead, it is all about what the intent behind a query is, hence content marketing for long-tail conversational keywords should include content produced by leveraging natural speech patterns.

Now that you see search results as content in SERPs, advertisers must compress the multimedia file without compromising on quality to speed up the page load times and optimize the user experience.

SEO will become more holistic, encompassing a more robust digital presence in 2024. SEO experts must also incorporate TikTok, Reddit, YouTube and Pinterest into their search engine optimization services so that brands appear on search result pages; in addition, such integrated service will maintain brand visibility and reputation across digital platforms.

Mobile-First Indexing

Because the number of people who use smartphones is growing exponentially, Google and other search engines are prioritizing sites that can run on mobile devices for mobile-first indexing — one of the primary criteria in search engine ranking.

SEO specialists must focus on mobile-friendly sites, responsive web design, and user-centric product-based content in order to be stand out and showcase their brands on search engine results pages (SERPs).

The SEO industry changes all the time and therefore it’s necessary for marketers to stay informed on new issues to bring organic traffic and increase ranking. Understanding trends will allow them to craft better solutions that are able to combine technical proficiency with immediate user value creation – setting SEO firms apart for years to come into 2024 and beyond.

Content Optimization

The future of SEO will be shaped by technological advancements, user behavior and changing search engine algorithms. Success in this rapidly changing market requires technical expertise and long-term strategic thinking.

Voice Search — As we’ll start seeing more and more devices with voice assistants, it will only get more important to target conversations keywords. Furthermore, first-person experience will be made even more important as Google pushes more "Search Generative Experience" (SGE).

For businesses that focus on customer retention and loyalty, you can count on higher search traffic and conversions as a result. The goal of crafting quality content around the product experience or customer story to build trust and authority with your followers is the key to optimizing your SEO efforts in this content overload world. It’s about contrasting yourself from the others and also showing expertise in your niche, and this will distinguish your SEO and make it all the stronger for SEO success. Even in an age of constant publishing, building authoritative and credible content remains SEO success.

[viact1]

How Gen AI Safety Chatbot Help Manufacture Industry

Gen AI Safety Chatbot is a new technology and the future of the modern world, where it will play an important role in every type of industry. Today, it is used to provide conversational customer service, automate tasks, and many more sectors. Therefore, the role of this technology in the construction and manufacturing sector shows positive results that will be discussed in this article.

As you know, the construction and manufacturing sector has several employees who cover the responsibility of ground duty as well as the technical field. In large companies, if an accident occurs and the safety team is unavailable, it can lead to delays in response. Therefore, using an AI Safety Chatbot can help forecast or anticipate the disaster so we can make appropriate decisions to resolve the issue before it becomes worse. In this blog, you will understand what Gen AI Safety Chatbot is and how viAct helps various industries and its best services.

What is Gen AI Safety Chatbot?

The Gen AI Safety Chatbot is a smart digital assistant that uses advanced technology to help manage safety in various industries. From automating tasks to providing real-time support, it is becoming an essential tool in many sectors. In manufacturing, where numerous employees are working around the clock, ensuring safety is critical. The chatbot’s role is to be an ever-present helper, ready to spot potential issues and provide timely solutions.

Improve the standard for ensuring the safety of workers.

Manufacturing is surrounded by heavy machinery and high-pressure environments, where safety is of utmost importance. The Gen AI Safety Chatbot helps set up constant monitoring in the work environment. It screens real-time data in the search for potential hazards before they become serious problems. This proactive approach to workers' safety will reduce the threat of accidents and injuries at work.

Cost-Saving Solution

Accidents and safety violations are very costly for manufacturing companies. They can cause very expensive downtime, create legal problems, and result in higher insurance premiums. By deploying the Gen AI Safety Chatbot, manufacturers benefit on a number of fronts. The chatbot aids in the prevention of accidents by early identification of hazards, thereby reducing the requirement for expensive emergency repairs and associated legal actions. It helps optimise resource utilisation to reduce operational costs.

Smoothen Emergency Situations

Gen AI Safety Chatbot has been engineered to respond quickly in the event of threats. This instant alert with guidance could enable workers and managers to make decisions on time. The malfunctioning of machinery or a sudden safety hazard-the real-time response by the chatbot will enable the management of the situation effectively so as to reduce the impact of emergencies.

Enhances Customer Safety

Manufacturing companies are often hosts to sensitive information and processes that need tight security. Gen AI Safety Chatbot has ensured that high standards of security are kept through constant observation of the systems for unusual activities. The features ensure protection against leaks or misappropriation of sensitive data and deal with resultant security breaches. This added layer of security brings about a level of trust towards the clients and partners by assuring them of the protection of their information and interests.

Conclusion

It is very valuable because of the improvement of standards concerning safety, costs saved, optimization of emergency responses, and the guarantee of customers' security. With technology in development, these chatbots will be more and more important within the manufacturing process in the years to come since companies will also manage to create much safer and more efficient workplaces.

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How Computer Vision Transforms SOP Compliance Monitoring

Transforming Workplace Safety with AI: Integration of Generative AI and Computer Vision