#Natural Language Processing Market Research | Explore Tumblr posts and blogs

transmutationisms · 1 year ago

Note

any thoughts on the obsession with "hyperprocessed foods"? is there even such a thing and if so how much of the stuff around it is fake?

such a flawed useless categorisation lmao; this phrase comes from the nova scale, according to which an "ultra-processed food" is identified by a lack of sufficient "intact" food and the presence of "sources of energy and nutrients not normally used in culinary preparations" and additives specifically "used to initate or enhance the sensory qualities of food or to disguise unplatable aspects of the final product" (other additives, such as preservatives, antioxidants, and stabilisers, only qualify a food as group 3, "processed"). ultra-processing is defined as "a multitude of sequences of processing [...] includ[ing] several with no domestic equivalents," and ultra-processed foods are "usually packaged attractively and marketed intensely."

......so ok, first of all, this is very obviously reliant on a lot of assumptions about what 'normal' cooking and cooking equipment means, lmao. i do all kinds of shit in the kitchen that would have been inaccessible to someone in the mid nineteenth century; has the food become 'less processed' because i can make it at home now? if i obtained the equipment to hydrogenate oils myself would they magically not be ultra-processed simply because they came from my kitchen and not from an industrial setting?

this is just quasi-scientific language to express a fundamental distrust of food produced in ways that currently can't be replicated in [researchers' definitions of] a [normal] home kitchen. it's barely more sophisticated than platitudes like michael pollan's command to "eat only foods your grandmother would recognise". using the nova classifications to make assumptions about the healthfulness or danger of a food is just silly; the presumption is that the dietary and medical effects are not due to the food itself but to how it's produced, an idea that has led researchers to conclude that "the NOVA system suffers from a lack of biological plausibility so the assertion that ultra-processed foods are intrinsically unhealthful is largely unproven."

fundamentally the only evidence that nutritional scientists have been able to produce is observational studies showing a correlation between certain ill health outcomes and consumption of 'ultra-processed food'.

But the observational studies also have limitations, said Lauren O’Connor, a nutrition scientist and epidemiologist who formerly worked at the Department of Agriculture and the National Institutes of Health. It’s true that there is a correlation between these foods and chronic diseases, she said, but that doesn’t mean that UPFs directly cause poor health.

Dr. O’Connor questioned whether it’s helpful to group such “starkly different” foods — like Twinkies and breakfast cereals — into one category.

[...]

Clinical trials are needed to test if UPFs directly cause health problems, Dr. O’Connor said. Only one such study, which was small and had some limitations, has been done, she said.

ie, when evaluating the healthfulness of foods you have to actually look at what they are and what the human body does with them, and not just make a bunch of wild assumptions based on fears about their lack of proximity to 'naturalness' or propensity to be advertised (unlike, i guess, other more intact foods, which are not commodities. who knew!)

and there are like a million trillion other reasons why this correlation might hold: off the top of my head, for instance, people who rely more on the convenience of ready-made foods likely to be categorised as 'ultra-processed' are likely to be people who can't cook because they don't have time because they're working. so as usual nutrition and health science does a dogshit job distinguishing between the health effects of socioeconomic status and those of whatever some dickwad wants to publish a splashy study about.

there are certainly 'ultra-processed' foods that we can be extremely confident are harmful to human health---for example, trans fats. but the categorisation as a whole is so conceptually flawed as to be useless for any purpose besides as a term that 'scientises' culturally held beliefs about the wholesomeness and healthfulness of home food preparation, and the corresponding danger and artificiality of industrial production and methods.

#hps #sorry long ass post this is a bugbear of mine lol

309 notes · View notes

another-lost-mc · 6 months ago

Text

➤ Courtship, Bonding and Bond Sickness

Content: A collection of world building headcanons involving demonic courtship in the Devildom and bond mates in the Celestial Realm.

Warnings: Mentions of generalized violence and typical demon-like behaviour. References to grief/depression and other mental health issues when referencing bond sickness.

COURTSHIP

A formal process of pursuing another demon for romantic purposes, courtships are a long-lasting tradition in the Devildom. Many of the customs and practices used in ancient times have gradually been phased out or replaced with less deadly variations to make Devildom social customs more palatable for the other realms.

Demonic courtship is meant to symbolize a demon's usefulness, such as their skills in combat and ability to provide a comforting home for their mate and potential family. The focus is on proving their personal strength (physical or magical) and resourcefulness rather than social status or wealth.

Some of the common courtship traditions practiced today may include:

A piece of jewelry forged with a bloodstone (a type of Devildom gem infused with the suitor's blood). This is typically given near the end of the courtship, similar to a human engagement piece. Mated demons usually wear a set of matching bloodstone jewelry that symbolizes their successful courtship as well.

A Devildom dance between the suitor and their prospective mate(s). This may be replaced with another social/artistic gift such as a song, poem, or artwork.

A meal prepared by a suitor and shared with their prospective mate. Serving their intended inappropriate foods could be seen as a grave insult and put the courtship in jeopardy.

A bouquet of Devildom flowers that should compliment their mate(s), utilizing the language of demonic flowers and plants to their advantage. Similar to food offerings, poorly planned or researched flower gifts have the potential to cause offense.

Optional customs that are seen as antiquated and not part of standard courtship practice in modern times:

Obtaining a trophy from a rare/nightmarish Devildom beast, slain and/or harvested by their own hand.

Offering one or part of their horn(s) that can be worn as jewelry or made into an art piece. This is most common among Devildom royalty.

Outdated or outlawed practices:

Weapons or jewelry gathered from slain enemies in battle (presumed angels). The trade or sale of angelic heirlooms is still possible through the black market, but due to the lack of recent conflict with the Celestial Realm, these items have become scarce.

Procuring a soul stone, a magical trinket infused with part of a human soul. It is more beautiful than useful and is normally displayed in the home as a decorative accessory. Due to obvious reasons, hunting human souls specifically for this purpose is now forbidden.

BONDING

Even though romantic/sexual relationships are technically allowed in the Celestial Realm, there is no recognized process to enter a formal courtship or marriage the way demons or humans do. However, angels can become bond mates with other angels. This bond is usually created over time by angels that share an extremely close familial, platonic, or romantic connection. It is something forged from within, the result of reciprocal affection and genuine emotion. Many angels form bonds to each other and don't even realize it.

(Some angels are uncomfortable with the idea of bond mates or forming attachments that may rival their commitment to the Celestial Realm or Father. For the longest time, it was considered a taboo topic in polite conversation despite angels having very little control over the process once those feelings already exist for someone else.)

Angels that are bonded feel a natural pull to each other and are driven by instincts that may only resonate on a subconscious level. Similar to their Devildom counterparts, these instincts drive them to demonstrate their thoughtfulness and loyalty through various gifts or acts of service throughout their lives:

Eating meals together and cooking for each other.

Using their talents to make gifts: poems or artwork, flowers, music and dancing, or cooking/baking.

Creating matching (custom) jewelry or clothing that can be worn with their regular attire.

Sharing a bed or room, when most angels have their own living quarters and sleep alone.

Bonding tropes are commonly referenced in Celestial literature in lighthearted stories of love and friendship. In the human world, angels publishing their work changed the language slightly to fit human ideas of love and fantasy, adopting the term soulmates and similar clichés as part of their story-telling.

BOND SICKNESS

Another popular trope in Celestial literature, bond sickness is a fictional illness suffered by two or more angels whose subconscious connection has been damaged. The cause of this varies wildly from prolonged physical distance/forced separation to severe trauma or death.

The symptoms that manifest because of this ailment vary from mild to severe. Conflicting symptoms makes it even more challenging to identify whether bond sickness exists. In the most popular tragic stories and poems, some of the many side effects include:

Intense bouts of sadness or anger

Increased or decreased appetite

Insomnia or oversleeping

Physical weakness and fatigue

Mood swings, mental instability and psychosis

Violent tempers and increased aggression

Increased risk of corruption (by the demonic)

According to stories with bond sickness, there is no obvious cure or treatment; it is simply a matter of bearing the pain and hoping time helps heal those hidden wounds. In some stories, the bond is restored after a dramatic turn of events. Another classic twist in Celestial literature portrays one angel in a broken bond who eventually recovers while the other does not. Influence from the human world has led to writers in the Celestial Realm to use terms such as star-crossed lovers when publishing stories with this theme as many of them have tragic endings.

The complex soul magic of bonding is still somewhat controversial and its true impacts are unknown. Bond sickness is mostly disregarded as the stuff of fairy tales with little evidence that it truly exists at all.

Angels that have exhibited symptoms of undiagnosed bond sickness may include: Michael, Lucifer and his siblings, Simeon, Raphael, Belial, Azazel, Metatron and Habuhiah. Their symptoms were merely brushed off as grief/depression following a sudden, tragic loss, or the after-effects of being cast out of the Celestial Realm and becoming a demon.

Read More: Obey Me World Building Masterlist

#thanks to meg and daisy who helped me flesh this out #jes.world building

97 notes · View notes

alpaca-clouds · 30 days ago

Text

We need to talk about AI

Okay, several people asked me to post about this, so I guess I am going to post about this. Or to say it differently: Hey, for once I am posting about the stuff I am actually doing for university. Woohoo!

Because here is the issue. We are kinda suffering a death of nuance right now, when it comes to the topic of AI.

I understand why this happening (basically everyone wanting to market anything is calling it AI even though it is often a thousand different things) but it is a problem.

So, let's talk about "AI", that isn't actually intelligent, what the term means right now, what it is, what it isn't, and why it is not always bad. I am trying to be short, alright?

So, right now when anyone says they are using AI they mean, that they are using a program that functions based on what computer nerds call "a neural network" through a process called "deep learning" or "machine learning" (yes, those terms mean slightly different things, but frankly, you really do not need to know the details).

Now, the theory for this has been around since the 1940s! The idea had always been to create calculation nodes that mirror the way neurons in the human brain work. That looks kinda like this:

Basically, there are input nodes, in which you put some data, those do some transformations that kinda depend on the kind of thing you want to train it for and in the end a number comes out, that the program than "remembers". I could explain the details, but your eyes would glaze over the same way everyone's eyes glaze over in this class I have on this on every Friday afternoon.

All you need to know: You put in some sort of data (that can be text, math, pictures, audio, whatever), the computer does magic math, and then it gets a number that has a meaning to it.

And we actually have been using this sinde the 80s in some way. If any Digimon fans are here: there is a reason the digital world in Digimon Tamers was created in Stanford in the 80s. This was studied there.

But if it was around so long, why am I hearing so much about it now?

This is a good question hypothetical reader. The very short answer is: some super-nerds found a way to make this work way, way better in 2012, and from that work (which was then called Deep Learning in Artifical Neural Networks, short ANN) we got basically everything that TechBros will not shut up about for the last like ten years. Including "AI".

Now, most things you think about when you hear "AI" is some form of generative AI. Usually it will use some form of a LLM, a Large Language Model to process text, and a method called Stable Diffusion to create visuals. (Tbh, I have no clue what method audio generation uses, as the only audio AI I have so far looked into was based on wolf howls.)

LLMs were like this big, big break through, because they actually appear to comprehend natural language. They don't, of coruse, as to them words and phrases are just stastical variables. Scientists call them also "stochastic parrots". But of course our dumb human brains love to anthropogice shit. So they go: "It makes human words. It gotta be human!"

It is a whole thing.

It does not understand or grasp language. But the mathematics behind it will basically create a statistical analysis of all the words and then create a likely answer.

What you have to understand however is, that LLMs and Stable Diffusion are just a a tiny, minority type of use cases for ANNs. Because research right now is starting to use ANNs for EVERYTHING. Some also partially using Stable Diffusion and LLMs, but not to take away people'S jobs.

Which is probably the place where I will share what I have been doing recently with AI.

The stuff I am doing with Neural Networks

The neat thing: if a Neural Network is Open Source, it is surprisingly easy to work with it. Last year when I started with this I was so intimidated, but frankly, I will confidently say now: As someone who has been working with computers for like more than 10 years, this is easier programming than most shit I did to organize data bases. So, during this last year I did three things with AI. One for a university research project, one for my work, and one because I find it interesting.

The university research project trained an AI to watch video live streams of our biology department's fish tanks, analyse the behavior of the fish and notify someone if a fish showed signs of being sick. We used an AI named "YOLO" for this, that is very good at analyzing pictures, though the base framework did not know anything about stuff that lived not on land. So we needed to teach it what a fish was, how to analyze videos (as the base framework only can look at single pictures) and then we needed to teach it how fish were supposed to behave. We still managed to get that whole thing working in about 5 months. So... Yeah. But nobody can watch hundreds of fish all the time, so without this, those fish will just die if something is wrong.

The second is for my work. For this I used a really old Neural Network Framework called tesseract. This was developed by Google ages ago. And I mean ages. This is one of those neural network based on 1980s research, simply doing OCR. OCR being "optical character recognition". Aka: if you give it a picture of writing, it can read that writing. My work has the issue, that we have tons and tons of old paper work that has been scanned and needs to be digitized into a database. But everyone who was hired to do this manually found this mindnumbing. Just imagine doing this all day: take a contract, look up certain data, fill it into a table, put the contract away, take the next contract and do the same. Thousands of contracts, 8 hours a day. Nobody wants to do that. Our company has been using another OCR software for this. But that one was super expensive. So I was asked if I could built something to do that. So I did. And this was so ridiculously easy, it took me three weeks. And it actually has a higher successrate than the expensive software before.

Lastly there is the one I am doing right now, and this one is a bit more complex. See: we have tons and tons of historical shit, that never has been translated. Be it papyri, stone tablets, letters, manuscripts, whatever. And right now I used tesseract which by now is open source to develop it further to allow it to read handwritten stuff and completely different letters than what it knows so far. I plan to hook it up, once it can reliably do the OCR, to a LLM to then translate those texts. Because here is the thing: these things have not been translated because there is just not enough people speaking those old languages. Which leads to people going like: "GASP! We found this super important document that actually shows things from the anceint world we wanted to know forever, and it was lying in our collection collecting dust for 90 years!" I am not the only person who has this idea, and yeah, I just hope maybe we can in the next few years get something going to help historians and archeologists to do their work.

Make no mistake: ANNs are saving lives right now

Here is the thing: ANNs are Deep Learning are saving lives right now. I really cannot stress enough how quickly this technology has become incredibly important in fields like biology and medicine to analyze data and predict outcomes in a way that a human just never would be capable of.

I saw a post yesterday saying "AI" can never be a part of Solarpunk. I heavily will disagree on that. Solarpunk for example would need the help of AI for a lot of stuff, as it can help us deal with ecological things, might be able to predict weather in ways we are not capable of, will help with medicine, with plants and so many other things.

ANNs are a good thing in general. And yes, they might also be used for some just fun things in general.

And for things that we may not need to know, but that would be fun to know. Like, I mentioned above: the only audio research I read through was based on wolf howls. Basically there is a group of researchers trying to understand wolves and they are using AI to analyze the howling and grunting and find patterns in there which humans are not capable of due ot human bias. So maybe AI will hlep us understand some animals at some point.

Heck, we saw so far, that some LLMs have been capable of on their on extrapolating from being taught one version of a language to just automatically understand another version of it. Like going from modern English to old English and such. Which is why some researchers wonder, if it might actually be able to understand languages that were never deciphered.

All of that is interesting and fascinating.

Again, the generative stuff is a very, very minute part of what AI is being used for.

Yeah, but WHAT ABOUT the generative stuff?

So, let's talk about the generative stuff. Because I kinda hate it, but I also understand that there is a big issue.

If you know me, you know how much I freaking love the creative industry. If I had more money, I would just throw it all at all those amazing creative people online. I mean, fuck! I adore y'all!

And I do think that basically art fully created by AI is lacking the human "heart" - or to phrase it more artistically: it is lacking the chemical inbalances that make a human human lol. Same goes for writing. After all, an AI is actually incapable of actually creating a complex plot and all of that. And even if we managed to train it to do it, I don't think it should.

AI saving lives = good.

AI doing the shit humans actually evolved to do = bad.

And I also think that people who just do the "AI Art/Writing" shit are lazy and need to just put in work to learn the skill. Meh.

However...

I do think that these forms of AI can have a place in the creative process. There are people creating works of art that use some assets created with genAI but still putting in hours and hours of work on their own. And given that collages are legal to create - I do not see how this is meaningfully different. If you can take someone else's artwork as part of a collage legally, you can also take some art created by AI trained on someone else's art legally for the collage.

And then there is also the thing... Look, right now there is a lot of crunch in a lot of creative industries, and a lot of the work is not the fun creative kind, but the annoying creative kind that nobody actually enjoys and still eats hours and hours before deadlines. Swen the Man (the Larian boss) spoke about that recently: how mocapping often created some artifacts where the computer stuff used to record it (which already is done partially by an algorithm) gets janky. So far this was cleaned up by humans, and it is shitty brain numbing work most people hate. You can train AI to do this.

And I am going to assume that in normal 2D animation there is also more than enough clean up steps and such that nobody actually likes to do and that can just help to prevent crunch. Same goes for like those overworked souls doing movie VFX, who have worked 80 hour weeks for the last 5 years. In movie VFX we just do not have enough workers. This is a fact. So, yeah, if we can help those people out: great.

If this is all directed by a human vision and just helping out to make certain processes easier? It is fine.

However, something that is just 100% AI? That is dumb and sucks. And it sucks even more that people's fanart, fanfics, and also commercial work online got stolen for it.

And yet... Yeah, I am sorry, I am afraid I have to join the camp of: "I am afraid criminalizing taking the training data is a really bad idea." Because yeah... It is fucking shitty how Facebook, Microsoft, Google, OpenAI and whatever are using this stolen data to create programs to make themselves richer and what not, while not even making their models open source. BUT... If we outlawed it, the only people being capable of even creating such algorithms that absolutely can help in some processes would be big media corporations that already own a ton of data for training (so basically Disney, Warner and Universal) who would then get a monopoly. And that would actually be a bad thing. So, like... both variations suck. There is no good solution, I am afraid.

And mind you, Disney, Warner, and Universal would still not pay their artists for it. lol

However, that does not mean, you should not bully the companies who are using this stolen data right now without making their models open source! And also please, please bully Hasbro and Riot and whoever for using AI Art in their merchandise. Bully them hard. They have a lot of money and they deserve to be bullied!

But yeah. Generally speaking: Please, please, as I will always say... inform yourself on these topics. Do not hate on stuff without understanding what it actually is. Most topics in life are nuanced. Not all. But many.

#computer science #artifical intelligence #neural network #artifical neural network #ann #deep learning #ai #large language model #science #research #nuance #explanation #opinion #text post #ai explained #solarpunk #cyberpunk

25 notes · View notes

proustiansleep · 2 months ago

Text

"Cinema appeared first as a particular technology at the end of the nineteenth century; but precisely what it would be used for was not immediately clear. The work, both historical and theoretical, of my friend and colleague André Gaudreault indicates that cinema’s purposes were originally less well defined than were its mechanics. As Gaudreault has shown, cinema as a cultural form emerged gradually from a number of differently defined uses and rather separate cultural series. These include: Marey’s need for a means of recording scientifically the movement of bodies: human, animal, and inanimate; the Lumière’s company’s desire to extend the market and methods of amateur photography; Edison’s attempt to “do for the eye what the phonograph does for the ear,” that is, follow one successful recording invention with another. Such examples could be multiplied. Clearly defined goals play a lesser role in technological development than we tend to think.

Rather than following a specific plan and defined purpose, the Edison research lab explored various possibilities in materials and methods, often unsure of, or radically revising, their goal as experiments progressed. Research was often not designed to realize a specific project, but to generate projects generally.

As Bernard Stiegler has claimed, understanding technology as simply devising a means to accomplish an end distorts its nature. The technical object itself (and even more an ensemble such as the Edison laboratory) possesses, as Stiegler puts it, a genetic logic of its own, not simply attributable to human intention. We enter here into the understanding of the technical world introduced by Gilbert Simondon in which we seek, as Muriel Combes puts it, “to know the functioning schemas of technical objects, not as fixed schemas but as schemas necessarily engaged in temporal evolution.” In Simondon’s theory of technology we move from the goal oriented use of the tool to the open technological environment of the machine and its ensembles (such as the Edison laboratory, open to new uses and revisions). Thus, cinema with its initial variety of purposes may not be aberrant, but rather exemplary of a Simondon’s view of technical development. “The technical object exists, then, as a specific type achieved at the end of a convergent series.” Thus, the technical object must be understood as more than an inert utensil, a means to a predetermined end. Following Martin Heidegger, Tekhne should be conceived as process of growth and unfolding. This is not to claim that the technological processes that resulted in cinema were in any sense random or irrational, but rather that their ultimate outcomes were not necessarily inscribed or foreseen in their origins." —Tom Gunning, Cine-Graphism : A New Approach To The Evolution Of Film Language Through Technology

#tom gunning

25 notes · View notes

praxcrown5 · 2 months ago

Text

Unhinged Cars or Planes Headcanon Wednesday: Guido

Guido is cx'cx'schal: a "fallen" angel. His original designation was GDO-20498. His name, "Guido," was his attempt to Italianize that designation.

From a young age, he had an aptitude for mechanical engineering...however, his mind was just as capable as his forks, and he was tasked by his superiors to study EVERYTHING that he could about their factory's long-time rival, Ferrari. After a decade of research, he concluded that Ferrari was superior in every, conceivable aspect (manufacturing, culture, ethanol production, bowling scores, etc...), and he left Alza Facile the day after his findings were published.

Like all angels who leave their home factory, he had to give up something in exchange for his freedom. Normally, folks give up something reasonable, like their wings or weapons. He opted for extreme physical AND mental modifications. His titanium-laced body metals were exchanged for normal steel, all of his weapons were removed, his wings were clipped, AND he had his memories modified so that he wouldn't remember anything about his time at Alza. In his words: "Se non riescono a costruire un bullone migliore della Ferrari, allora preferirei vivere la mia vita ignorandoli completamente." In other words: "If they can't make a bolt better than Ferrari, then I'd rather live my life in complete ignorance of them." Unfortunately, the memory modification process affected the language components in his brain. He can understand most languages, and he's still fluent in his native Italian...but it's difficult for him to learn new languages. He did, however, retain his natural mechanical aptitude, and he ventured beyond the factory walls driven by one goal: To become the world's best Ferrari mechanic.

Unfortunately...Guido was a little bit smaller than your average forklift, and despite inquiring with every pitty crew and Ferrari-centric garage in Italy...no one would hire him. While drowning his sorrows one night in a sports bar, he met a Fiat 500 named Luigi who was a HUGE Ferrari fan. The two hit it off and Luigi brought Guido to his Uncle Topolino's tire shop hoping to get him a job. Despite his skills, Uncle Topolino wasn't in the market for another mechanic. However, his brother in the USA had just opened a tire shop and was desperate for good help and Luigi and Guido hopped on the next ship headed to America. After landing in New York City, the two had a merry time taking in all the sights as they embarked on a cross-country road trip, reaching Radiator Springs in 1950. In 1955, Uncle Dino would retire and leave the shop to Luigi. Dino's "Casa Della Tires" became "Luigi's Casa Della Tires," and the rest...is history.

in my HC, angels have purple eyes: Here is multiple images of Guido confirming that eye color.

If you're interested in my WOC angel Headcanon, here's a link to that:

#ucopwednesday #cars fandom #pixar cars #cars #cars pixar #disney cars #disney pixar cars #cars 2006 #cars headcanons #Guido cars #Guido Pixar #Guido forklift #Angel #Hesfukinadoraboofolks #praxcanon #wocfandom #woc headcanon #woc

18 notes · View notes

dhirajmarketresearch · 6 months ago

Text

#Natural Language Processing Market #Natural Language Processing Market Share #Natural Language Processing Market Size #Natural Language Processing Market Research #Natural Language Processing Industry #What is Natural Language Processing?

0 notes

snehanissel · 1 month ago

Text

THE RISE OF AUTONOMOUS MARKETING: HOW AI TOOLS ARE TAKING OVER ROUTINE TASKS

In the ever-evolving landscape of digital marketing, a seismic shift is underway. The rise of autonomous marketing, powered by artificial intelligence (AI), is transforming how businesses engage with their audiences, optimize campaigns, and drive growth. Routine tasks that once consumed hours of human effort, like content creation, data analysis, ad optimization, are now being handled by intelligent AI tools with unprecedented efficiency and precision. This revolution is not just about automation; it’s about empowering marketers to focus on creativity, strategy, and human connection while machines handle the repetitive grind. In this blog, we’ll dive deep into the rise of autonomous marketing, explore how AI tools for digital marketing professionals, AI-powered content marketing course, are reshaping the industry, discuss what this means for the future of marketing, and why we should learn digital campaign optimization with Ai.

The Dawn of Autonomous Marketing

Marketing has always been a blend of art and science, requiring both creative flair and data-driven precision. However, the sheer volume of tasks involved like keyword research, social media scheduling, email campaign management, performance tracking, can overwhelm even the most seasoned professionals. Enter autonomous marketing: a paradigm where AI tools take over repetitive, time-consuming tasks, allowing marketers to focus on high-level strategy and innovation.

The adoption of AI tools for digital marketing professionals has skyrocketed in recent years. According to a 2023 report by HubSpot, 64% of marketers now use AI-based tools to streamline their workflows, with adoption rates expected to climb further by 2026. From generating personalized email content to optimizing paid ad campaigns in real time, AI is proving to be a game-changer. These tools don’t just save time; they enhance decision-making by analysing vast datasets that no human could process in a reasonable timeframe.

How AI Tools Are Transforming Routine Marketing Tasks

Let’s break down some of the key areas where autonomous marketing is making its mark, with a focus on AI-powered content marketing course, and learn digital campaign optimization with AI

1. Content Creation and Curation

Content is the lifeblood of digital marketing, but crafting blog posts, social media updates, and email newsletters can be a slog. AI-powered tools like Jasper, Copy.ai, and ChatGPT have revolutionized AI-powered content marketing course by generating high-quality, human-like content in seconds. These platforms use natural language processing (NLP) and generative AI to produce everything from catchy ad copy to long-form blog posts tailored to specific audiences.

For example, a small e-commerce brand can use AI to create product descriptions optimized for SEO, ensuring they rank higher on search engines without hiring a team of copywriters. AI tools also analyse audience preferences to suggest topics, headlines, and even visual elements that resonate. By automating content ideation and creation, marketers can focus on strategy, deciding which stories to tell and how to tell them, while AI handles the heavy lifting.

To learn AI-powered content marketing course is particularly relevant here, as it encapsulates the shift from manual content creation to AI-driven efficiency. It also equips you with cutting-edge strategies to leverage artificial intelligence for creating, optimizing, and automating high-impact marketing campaigns.

2. Campaign Optimization and Performance Tracking

Running a successful digital campaign requires constant tweaking like adjusting ad budgets, refining target audiences, and testing creative variations. This is where learning digital campaign optimization with AI shines. Tools like Google’s Smart Bidding, Meta’s Advantage+ campaigns, and platforms like AdRoll use machine learning to analyse real-time data and optimize campaigns on the fly.

Imagine launching a Facebook ad campaign for a new product. An AI tool can monitor click-through rates, conversions, and audience engagement, then automatically shift budgets to the best-performing ads or demographics. This level of precision was once the domain of highly skilled analysts, but AI now democratizes it, making advanced optimization accessible to small businesses and solo entrepreneurs.

Moreover, AI tools provide predictive analytics, forecasting campaign outcomes based on historical data and market trends. For instance, platforms like HubSpot and Salesforce use AI to predict which leads are most likely to convert, enabling marketers to prioritize high-value prospects. By learning digital campaign optimization with AI, businesses achieve higher ROI with less manual effort.

3. Social Media Management

Social media is a cornerstone of modern marketing, but managing multiple platforms like Twitter, Instagram, LinkedIn, TikTok, can feel like a full-time job. AI tools like Hootsuite, Buffer, and Sprout Social automate scheduling, content curation, and performance tracking, while advanced platforms like Lately use AI to repurpose long-form content into bite-sized social posts.

AI also enhances audience engagement through chatbots and personalized responses. For example, an AI-powered chatbot can handle customer inquiries on Instagram, recommend products, and even process orders, all while mimicking a human tone. This not only saves time but also ensures 24/7 responsiveness, which is a must in today’s always-on digital world.

The phrase "AI tools for digital marketing professionals" effectively captures the practical resources that enable marketers to streamline social media management, showcasing the transformative potential of these technologies.

4. Email Marketing and Personalization

Email remains one of the most effective marketing channels, with an average ROI of $36 for every $1 spent, according to Litmus. However, crafting personalized emails for thousands of subscribers is a logistical nightmare. AI tools like Mailchimp’s AI-driven features and Klaviyo automate email segmentation, content generation, and send-time optimization.

For instance, AI can analyse a subscriber’s purchase history, browsing behaviour, and engagement patterns to craft hyper-personalized emails, think product recommendations or tailored discounts. Tools like Phrasee use AI to optimize email subject lines, increasing open rates by predicting which phrases will resonate most. By automating these tasks, marketers can deliver personalized experiences at scale without burning out.

5. SEO and Keyword Research

Search engine optimization (SEO) is another area where AI is taking over routine tasks. Tools like SurferSEO, Ahrefs, and SEMrush use AI to analyse search trends, competitor strategies, and on-page performance, providing actionable recommendations to boost rankings. For example, AI can suggest high-performing keywords, optimize meta tags, and even identify content gaps on a website.

This automation is a lifeline for small businesses that lack the resources for dedicated SEO teams. By learning AI tools for digital marketing professionals, marketers can implement sophisticated SEO strategies without spending hours on manual research.

The Benefits of Autonomous Marketing

The rise of autonomous marketing brings a host of benefits that extend beyond time savings. Here are some of the most impactful ones:

Scalability: AI tools allow businesses of all sizes to execute complex marketing strategies without proportional increases in staff or budget. A single marketer with the right AI tools can manage campaigns that rival those of large agencies.

2. Precision: AI’s ability to analyse massive datasets ensures decisions are data-driven, reducing guesswork and improving outcomes. For example, learning digital campaign optimization with AI ensures ad spend is allocated to the most effective channels and audiences.

3. Cost Efficiency: By automating routine tasks, businesses save on labour costs and reduce the need for outsourcing. AI tools often offer tiered pricing, making them accessible to start-ups and enterprises alike.

4. Enhanced Creativity: With AI handling repetitive tasks, marketers have more time to focus on creative storytelling, brand building, and customer engagement. This human-AI collaboration unlocks new levels of innovation.

5. 24/7 Operations: AI tools don’t sleep. They monitor campaigns, respond to customers, and optimize performance around the clock, ensuring businesses stay competitive in a global market.

Challenges and Considerations

While autonomous marketing is transformative, it’s not without challenges. Over-reliance on AI can lead to generic content or a loss of brand voice, as algorithms may prioritize optimization over authenticity. Additionally, ethical concerns such as data privacy and algorithmic bias—require careful navigation. For instance, AI tools that analyse consumer behaviour must comply with regulations like GDPR and CCPA to protect user data.

There’s also the learning curve. While AI tools for digital marketing professionals are designed to be user-friendly, mastering them requires some training. Fortunately, resources like online courses and tutorials (many of which focus on AI-powered content marketing course or learning digital campaign optimization with AI) are widely available to bridge this gap.

The Future of Autonomous Marketing

As AI technology advances, the possibilities for autonomous marketing are limitless. Generative AI models like GPT-4 and beyond will create even more sophisticated content, while deep learning algorithms will enable hyper-accurate audience targeting. We’re also seeing the rise of AI-powered creative tools that generate visuals, videos, and interactive experiences, further blurring the line between human and machine creativity.

In the next decade, autonomous marketing could evolve into fully self-managing systems, where AI not only executes tasks but also sets strategies based on business goals. Imagine an AI that designs an entire marketing funnel, from awareness to conversion, without human input. While this may sound like science fiction, companies like xAI (creators of Grok) are already pushing the boundaries of AI’s role in decision-making.

Conclusion: Embracing the AI Revolution

The rise of autonomous marketing is not about replacing humans but about amplifying their potential. By leveraging AI tools for digital marketing professionals, AI-powered content marketing course, and learning digital campaign optimization with AI, businesses can achieve unprecedented efficiency, scalability, and impact. These tools are democratizing access to advanced marketing techniques, levelling the playing field for small businesses and solo entrepreneurs.

As we move into 2025 and beyond, marketers must embrace AI as a partner, not a threat. The future belongs to those who can blend human creativity with machine precision, crafting campaigns that resonate deeply while scaling effortlessly. Whether you’re a seasoned professional or just starting out, now is the time to explore AI’s potential and ride the wave of autonomous marketing. The tools are here, the opportunities are endless, and the revolution is just beginning.

#artificial intelligence #marketing #digital marketing #automation #technology #innovation #ai trends #futuretech #marketing strategy

3 notes · View notes

phenixcreations · 2 months ago

Text

The Role of Semantic Search in Modern SEO Services San Francisco

In today’s dynamic digital landscape, search engine optimization (SEO) is no longer just about inserting the right keywords into your content.

With the rise of AI-powered algorithms and user-centric search experiences, semantic search has become a core component of modern SEO strategies. But what exactly is semantic search, and how is it transforming SEO Services San Francisco? Let’s explore.

What is Semantic Search?

Semantic search refers to the process by which search engines attempt to understand the intent and context behind a user’s query rather than relying solely on keyword matches. Instead of looking at search terms in isolation, semantic search interprets meaning by analyzing:

The relationship between words

User search history and location

Natural language queries

Synonyms and variations

Structured data and entity recognition

Search engines like Google now aim to deliver results that are not just textually relevant but also contextually accurate, thanks to major algorithm updates like Hummingbird, RankBrain, and BERT.

Why Does Semantic Search Matter in SEO?

In the past, SEO success depended heavily on keyword density, exact match phrases, and backlink quantity. But today’s search engines are much smarter. They understand that a user searching for "how to fix a leaky faucet" doesn’t just want a page that repeats that phrase ten times—they want a helpful guide, perhaps with step-by-step instructions and tools needed.

Here’s how semantic search impacts modern SEO:

1. Focus on Search Intent

Understanding user intent is now critical. Are users looking for information, trying to make a purchase, or comparing products? Semantic search helps deliver tailored content that aligns with the user’s goal, and SEO professionals must optimize content accordingly.

2. Natural Language and Conversational Queries

With the rise of voice assistants and AI chatbots, people are using more natural, conversational queries. Phrases like “best pizza place near me” or “how can I improve my sleep quality?” require semantic understanding. SEO now involves optimizing for these long-tail and question-based keywords.

3. Topic Clusters over Keywords

Modern SEO emphasizes topic relevance rather than isolated keywords. Creating content clusters around core themes helps search engines understand the depth and authority of a website. For example, a health blog writing about “diabetes” should also cover related topics like diet, insulin, symptoms, and treatments.

4. Structured Data and Schema Markup

Semantic search engines benefit from clear, structured data. Using schema markup allows search engines to better understand your content, which can improve rankings and increase chances of rich snippets appearing in search results.

5. User Experience and Engagement Metrics

Since semantic search prioritizes delivering the most useful content, user experience (UX) plays a major role. High bounce rates, low time on page, and poor mobile optimization can negatively affect rankings. SEO services now need to align content relevance with fast, intuitive website design.

How are SEO Services Adapting?

SEO agencies and professionals have shifted from keyword stuffing to creating meaningful, high-quality content. Here’s how they’re leveraging semantic search:

Conducting intent-based keyword research instead of generic keyword lists

Creating comprehensive content hubs that satisfy multiple user intents

Using AI and NLP tools to analyze semantic relationships

Optimizing FAQs and voice-friendly content

Implementing structured data to enhance content discoverability

Final Thoughts

Semantic search is not a passing trend—it’s the foundation of how modern search engines work. For businesses, this means SEO is no longer a technical back-end task but a holistic digital strategy that includes content marketing, UX, and even AI.

To stay ahead in the SEO game, brands must shift their focus from keywords to meaning, from volume to value. By embracing semantic search, businesses can deliver better experiences, reach more relevant audiences, and rank higher in today’s intelligent search engines.

#graphic design #Digital Marketing Agency #search engine marketing

2 notes · View notes

michaelespositostatenisland · 1 year ago

Text

Michael Esposito Staten Island: Innovative AI Solutions for Influencer Marketing in the Digital Age

In the ever-evolving landscape of digital marketing, influencer marketing has emerged as a powerful strategy for brands to connect with their target audience and drive engagement. With the rise of social media platforms, influencers have become key players in shaping consumer preferences and purchasing decisions. Michael Esposito Staten Island — Influence in the Digital Age exemplifies this trend, highlighting how digital influencers can significantly impact marketing strategies and outcomes. However, as the digital space becomes increasingly saturated with content, brands are turning to innovative AI solutions to enhance their influencer marketing efforts and stay ahead of the curve.

AI-Powered Influencer Discovery

One of the biggest challenges brands face in influencer marketing is finding the right influencers to collaborate with. Traditional methods of influencer discovery often involve manual research and outreach, which can be time-consuming and inefficient. However, AI-powered influencer discovery platforms leverage advanced algorithms to analyze vast amounts of data and identify influencers who are the best fit for a brand's target audience and campaign objectives. Michael Esposito Staten Island: An Influencer Marketer Extraordinaire, exemplifies how effective influencer collaboration can transform marketing strategies. By harnessing the power of AI, brands can streamline the influencer discovery process and identify high-potential collaborators with greater accuracy and efficiency.

Predictive Analytics for Campaign Optimization

Once influencers have been identified and partnerships established, brands can leverage AI-powered predictive analytics to optimize their influencer marketing campaigns. Predictive analytics algorithms analyze historical campaign data, audience demographics, and engagement metrics to forecast the performance of future campaigns. By leveraging these insights, brands can make data-driven decisions about content strategy, audience targeting, and campaign optimization, maximizing the impact of their influencer collaborations and driving measurable results.

AI-Driven Content Creation

Content creation is a critical component of influencer marketing campaigns, and AI is revolutionizing the way brands create and optimize content for maximum impact. AI-powered content creation tools can generate personalized, high-quality content at scale, helping brands maintain a consistent brand voice and aesthetic across their influencer collaborations. From automated image and video editing to natural language processing for caption generation, AI-driven content creation tools empower brands to create compelling, on-brand content that resonates with their target audience and drives engagement.

Sentiment Analysis for Brand Monitoring

Influencer marketing campaigns can have a significant impact on brand perception, and it's essential for brands to monitor and manage their online reputation effectively. AI-powered sentiment analysis tools analyze social media conversations and user-generated content to gauge public sentiment towards a brand or campaign. By tracking mentions, sentiment trends, and key themes, brands can quickly identify and address any potential issues or negative feedback, allowing them to proactively manage their brand reputation and maintain a positive online presence.

Automated Performance Reporting

Measuring the success of influencer marketing campaigns is crucial for determining ROI and informing future strategies. However, manual performance reporting can be time-consuming and prone to human error. AI-powered analytics platforms automate the process of performance reporting by aggregating data from multiple sources, analyzing key metrics, and generating comprehensive reports in real-time. By providing brands with actionable insights into campaign performance, audience engagement, and ROI, AI-driven analytics platforms enable brands to optimize their influencer marketing efforts and drive continuous improvement.

In conclusion, as influencer marketing continues to evolve in the digital age, brands must leverage innovative AI solutions to stay competitive and maximize the impact of their campaigns. From AI-powered influencer discovery and predictive analytics to automated content creation and sentiment analysis, AI is revolutionizing every aspect of influencer marketing, enabling brands to connect with their target audience more effectively and drive measurable results. By embracing these innovative AI solutions, brands can unlock the full potential of influencer marketing and achieve success in the digital era.

#michael esposito staten island #AI Solutions #Digital Age #Campaign Optimization #Brand Monitoring

11 notes · View notes

samarthdas · 4 months ago

Text

Exploring DeepSeek and the Best AI Certifications to Boost Your Career

Understanding DeepSeek: A Rising AI Powerhouse

DeepSeek is an emerging player in the artificial intelligence (AI) landscape, specializing in large language models (LLMs) and cutting-edge AI research. As a significant competitor to OpenAI, Google DeepMind, and Anthropic, DeepSeek is pushing the boundaries of AI by developing powerful models tailored for natural language processing, generative AI, and real-world business applications.

With the AI revolution reshaping industries, professionals and students alike must stay ahead by acquiring recognized certifications that validate their skills and knowledge in AI, machine learning, and data science.

Why AI Certifications Matter

AI certifications offer several advantages, such as:

Enhanced Career Opportunities: Certifications validate your expertise and make you more attractive to employers.

Skill Development: Structured courses ensure you gain hands-on experience with AI tools and frameworks.

Higher Salary Potential: AI professionals with recognized certifications often command higher salaries than non-certified peers.

Networking Opportunities: Many AI certification programs connect you with industry experts and like-minded professionals.

Top AI Certifications to Consider

If you are looking to break into AI or upskill, consider the following AI certifications:

1. AICerts – AI Certification Authority

AICerts is a recognized certification body specializing in AI, machine learning, and data science.

It offers industry-recognized credentials that validate your AI proficiency.

Suitable for both beginners and advanced professionals.

2. Google Professional Machine Learning Engineer

Offered by Google Cloud, this certification demonstrates expertise in designing, building, and productionizing machine learning models.

Best for those who work with TensorFlow and Google Cloud AI tools.

3. IBM AI Engineering Professional Certificate

Covers deep learning, machine learning, and AI concepts.

Hands-on projects with TensorFlow, PyTorch, and SciKit-Learn.

4. Microsoft Certified: Azure AI Engineer Associate

Designed for professionals using Azure AI services to develop AI solutions.

Covers cognitive services, machine learning models, and NLP applications.

5. DeepLearning.AI TensorFlow Developer Certificate

Best for those looking to specialize in TensorFlow-based AI development.

Ideal for deep learning practitioners.

6. AWS Certified Machine Learning – Specialty

Focuses on AI and ML applications in AWS environments.

Includes model tuning, data engineering, and deep learning concepts.

7. MIT Professional Certificate in Machine Learning & Artificial Intelligence

A rigorous program by MIT covering AI fundamentals, neural networks, and deep learning.

Ideal for professionals aiming for academic and research-based AI careers.

Choosing the Right AI Certification

Selecting the right certification depends on your career goals, experience level, and preferred AI ecosystem (Google Cloud, AWS, or Azure). If you are a beginner, starting with AICerts, IBM, or DeepLearning.AI is recommended. For professionals looking for specialization, cloud-based AI certifications like Google, AWS, or Microsoft are ideal.

With AI shaping the future, staying certified and skilled will give you a competitive edge in the job market. Invest in your learning today and take your AI career to the next leve

#ai #deepseek

3 notes · View notes