Blog : AI

Large Language Models are Changing the Face of E-Commerce As We Know It 

From a bird’s eye view, a large language model is a type of deep learning algorithm that was built to perform a number of natural language processing-related tasks. The technology can be used to recognize patterns that humans may have missed, for example. It can be used to summarize huge volumes of text into bite-sized chunks that are easier for people to digest. It can translate content from one language to another, generate new content of its own, and can even predict future trends by analyzing historical data.

LLaMA is one example of this type of solution in action. It’s a foundational, 65-billion-parameter LLM aimed at “helping researchers advance their work in this subfield of AI.” The Hugging Face open source LLM is another.

Because of their versatility, large language models have potential applications in just about every industry you can name. In healthcare, for example, they can be used to better understand someone’s lab work or test results in a way that helps quickly diagnose problems in a patient. In software development, they can be used to write code so that human programmers can focus on more important matters.

But of all the fields where large language models will be felt by average people, there are perhaps none more pressing over the short-term than e-commerce.

The Impact of Large Language Models on E-Commerce

According to one recent study, about 64% of people say that they’ll switch brands if they have just a single bad experience with a company’s customer service. There are few statistics that do better at explaining not only how large language models can be of use to e-commerce brands, but why they are so important in general.

The most obvious current impact of LLMs in e-commerce takes the form of virtual shopping assistants. Large language models are the backbone of chatbots, which can not only understand natural human language but can also respond in kind. They can be used to quickly answer questions, address account concerns, fix a problem with an order that has already shipped, provide personalized product recommendations, and more.

If you’re an e-commerce business leader that is worried about a single bad experience sending someone into the arms of a competitor, the next step becomes clear. You replace as many of those elements as possible with LLM technology and virtual assistants that instantly become the best type of employees. They always have the right answer, they’re never in a bad mood, and they’re available 24 hours a day, seven days a week, 365 days a year.

But even going beyond allowing for improved (not to mention cheaper) customer service, LLMs have a role to play elsewhere in e-commerce, too. LLMs and natural language processing can be integrated into a e-commerce business’ search platform, allowing for more advanced capabilities that make it easier to find what someone is looking for. It can be used to automatically generate content for marketing purposes, making it easier to always get “the right message in front of the right person at the right time” through a deep, analytical understanding of who makes up a target audience.

Regardless of the application, the overall theme is clear. Large language models are being used to make the e-commerce experience easier, more effective, and more enjoyable for consumers and will continue to do so moving forward.

The Future of E-Commerce: A Brave New World

So where do we go from here? As large language models continue to advance, you can expect to see many of the advantages above do the same.

People will be able to interact with e-commerce chat-bots to do more than just answer basic questions or get product recommendations. They’ll be able to express doubts and get an appropriate reaction. They’ll be able to get more interactive than ever. They’ll essentially have a variation of the same conversation and experience they would have with someone in a physical store, just in a digital space.

It’s easy to envision a world where a virtual shopping assistant in a mobile app anticipates that you need a certain product before you even realize it based on not only your past purchasing history, but your past online behavior. One of the challenges with their implementation in e-commerce today is that modern LLMs are very dependent on prompts – that’s why they’re usually being employed in the context of chat-bots and search engines.

This will not always be the case. As more data is fed into them and more refinements are made, large language models will continue to improve and will thus improve the e-commerce experience for customers. This is not unlike the way that things shifted when a group of Reddit users employed the Robinhood app to disrupt the Stock Mark. They will be at the foundation of a movement to take e-commerce beyond an avenue for simple transactions and into the realm of an experience in and of itself. The act of shopping will become the product, not just a means to an end, and we will have large language models to thank.

Unleashing the Potential of AI Chatbots for 24/7 Customer Support

In today’s rapidly evolving business landscape, setting your brand apart from the competition hinges on exceptional customer service. While conventional customer support methods like phone calls and emails are indispensable, they often fall short in meeting the expectations of modern consumers who demand rapid and personalized assistance. This has paved the way for the rise of AI chatbots, a revolutionary solution for offering round-the-clock customer support.

AI chatbots are sophisticated computer programs that simulate human conversations through the fusion of natural language processing (NLP) and machine learning. These digital assistants possess the remarkable capacity to manage a multitude of queries simultaneously, furnish personalized responses, and operate ceaselessly, every day of the year. As AI technology continues to advance, the capabilities of chatbots are expanding, empowering businesses to optimize customer experiences and augment sales.

The speed and efficiency afforded by AI chatbots are at the heart of their adoption in customer support. These bots excel at handling numerous inquiries concurrently, ensuring customers receive instant resolutions without enduring prolonged wait times. Consequently, businesses can amplify customer satisfaction, cultivate a sterling brand reputation, and foster loyalty by elevating the quality of customer interactions, all while incurring minimal costs.

Personalization has emerged as a cornerstone of contemporary customer service, further fueling the integration of AI chatbots. These intelligent bots adeptly learn customer preferences, purchase histories, and other relevant details, enabling them to deliver tailored recommendations, assistance, and promotions. This personalized approach resonates with customers, engendering brand loyalty. Moreover, chatbots bolster service quality by swiftly accessing real-time data and product information, thereby furnishing accurate responses to customer inquiries.

The utility of chatbots extends to conserving time and resources for businesses. The process of recruiting and training call center agents to provide round-the-clock coverage can be both expensive and time-intensive. Chatbots, on the other hand, can function cost-effectively with minimal oversight, rendering them an appealing alternative.

Finally, the symbiotic relationship between customers and AI chatbots drives continuous improvement in service delivery. As chatbots accumulate insights from their interactions, they incorporate machine learning to enhance accuracy and suggest tailored offerings aligned with customer preferences. This iterative approach optimizes customer satisfaction, accelerates response times, and curtails associated expenditures.

In conclusion, the evolution of AI chatbots into indispensable tools for businesses is undeniable, offering top-tier customer service, improved brand perception, enhanced customer loyalty, and streamlined operations. With their exceptional capability to provide seamless support and personalized interactions, AI chatbots stand as a transformative asset in modern customer engagement strategies. As industries continue to navigate the ever-evolving customer-centric landscape, embracing AI chatbots becomes a strategic imperative that can catalyze success. For comprehensive solutions that span from influencer marketing to digital advertising, reach out to Colure Media today. Let us help you elevate your brand through tailored strategies, including social media marketing campaigns and cutting-edge mobile app projects.

AI-Driven SEO Strategies: Outsmarting the Digital Competition

In today’s fast-paced digital world, staying ahead of the competition is crucial for businesses looking to succeed online. One of the most effective ways to achieve this is through search engine optimization (SEO) powered by artificial intelligence (AI). AI-driven SEO tactics offer a powerful tool that can significantly enhance website visibility and outperform competitors.


By utilizing machine learning algorithms, AI-driven SEO tactics collect and analyze data to boost a website’s search performance. These tactics enable businesses to optimize their websites for search engines and create compelling content that resonates with their target audience.

Let’s take a closer look at some smart AI-driven SEO strategies that businesses can employ to outsmart the competition:

Keyword Research: AI-driven tools can analyze competitors’ websites and identify commonly searched keywords. This valuable information allows businesses to optimize their website content using relevant, high-traffic keywords.

Natural Language Processing (NLP): NLP-based AI technology aids businesses in improving their website’s semantic search. By understanding the context and meaning behind words, NLP helps create content around topics and themes that customers are actively searching for.

Content Optimization: AI-driven tools can analyze a website’s content and provide actionable insights, such as identifying missing keywords or evaluating competitors’ successful content strategies.

Voice Search Optimization: With the growing popularity of voice assistants, AI technology can optimize websites for voice search by understanding natural language and common phrases.

The Power of AI-Driven SEO Strategies

Implementing AI-driven SEO tactics empowers businesses with a significant competitive edge in the digital marketplace. By leveraging data analytics, businesses can identify search trends and consumer behaviors to optimize their websites effectively and achieve higher search engine rankings.

Furthermore, AI-driven SEO enhances the user experience. By analyzing user behavior and search history, AI tools can suggest personalized content, improving engagement and creating a seamless customer journey.

In addition to these benefits, AI-driven SEO tactics offer a cost-effective solution for businesses. Instead of relying solely on costly pay-per-click advertising, implementing AI-driven SEO strategies can lead to long-term benefits through organic search results that drive continuous traffic to the website.

If you’re ready to seize the advantages of AI-driven SEO and propel your business forward in the dynamic realm of digital marketing, reach out to our NYC-based digital marketing agency. At the forefront of cutting-edge strategies, from SEO to influencer marketing, we are dedicated to optimizing your online presence. Contact us now to embark on a journey of sustained growth and elevated online visibility.

The Art of Hyper-Personalization: How AI Elevates Customer Experience

The Art of Hyper-Personalization: How AI Elevates Customer Experience

The business landscape is continually evolving, demanding companies to be innovative and customer-centric to maintain a competitive edge. One of the most potent strategies for achieving this is through hyper-personalization, an art that AI has mastered to perfection.

Hyper-personalization involves leveraging customer data to create highly tailored experiences. By mining and analyzing data from various sources, businesses can deliver personalized content, products, and services that resonate with individual customers. AI plays a crucial role in this process, enabling companies to harness vast amounts of customer data effectively.

Understanding Hyper-Personalization

Thanks to advancements in big data and machine learning, companies can now gather and process copious amounts of data, providing valuable insights into their customers’ preferences. When coupled with AI capabilities, businesses can craft hyper-personalized experiences that feel tailor-made for each individual.

The Benefits of Hyper-Personalization

Hyper-personalization goes beyond improving customer experience; it fosters loyalty and trust. By creating an emotional connection through personalized interactions, customers are more likely to remain loyal to the brand. Furthermore, targeted marketing campaigns built on AI predictions can enhance brand awareness through positive word-of-mouth.

The Power of Hyper-Personalization

The potential of hyper-personalization is immense, but it requires businesses to invest in data analytics and AI-powered tools to reap the benefits fully. As AI continues to evolve, its capabilities in delivering hyper-personalization will only grow. Therefore, it is crucial for companies to stay ahead of the curve by embracing AI’s potential and integrating it into their strategies.

Incorporating AI-powered hyper-personalization can revolutionize the way businesses interact with customers and create long-lasting connections. By utilizing customer data effectively, companies can deliver experiences that stand out in today’s competitive market. Embracing AI-driven hyper-personalization is not just an option; it’s a necessity for businesses looking to thrive in the dynamic world of tomorrow. 

If you’re ready to take your marketing strategies to the next level, contact Colure Media, a leading NYC branding and digital advertising agency. Whether you need assistance with social media marketing, influencer marketing, or building your next mobile app project, our expert marketing consulting services are here to elevate your brand in the bustling landscape of New York.

The Impact of AI Is Already Being Felt in Digital Marketing

By now, the ability of the fast-paced evolution of modern technology to disrupt should come as a surprise to nobody. In 2021, a group of Reddit users employed the Robinhood app to change the way we think about the stock market, likely forever. In that time, the ability of a  single mobile app and of other areas of tech like artificial intelligence to upend entire industries has proven itself time and again.

AI in particular has become an increasingly common part of the public conversation thanks to the debut of solutions like ChatGPT. At a basic level, the premise of ChatGPT is simple – it leverages natural language processing, coupled with state-of-the-art AI technology, to let users have human-like conversations with what is essentially a chatbot.

In the short period of time since it launched, however, ChatGPT itself has been filled with surprises. Organizations are using it for coding help – and indeed, there have been entire mobile apps created using AI. Business leaders use it to support their decision-making. It’s been leveraged for customer support, language translation – you name it and ChatGPT can probably do it.

Which is a major part of the reason why artificial intelligence has been so disruptive in such a short amount of time. One industry that is asking a bevy of existential questions is digital marketing. In a world where AI can be used to effectively manage most touch points on the buyer’s journey, what role do actual humans play in the lives of customers everywhere? The answers to questions like that one bring with them a number of fascinating implications that people should be aware of moving forward.

AI and Digital Marketing: Where Does One End and the Other Begin?

To take an optimistic approach to the topic, AI does bring with it a number of benefits in the short-term for human digital marketers. It allows them to automate a lot of the time-consuming and menial tasks that make up their day, letting them focus on matters that truly need their attention. It helps them understand their target audiences better than ever through things like data analytics, all in a fraction of the time it used to take.

But keep in mind that AI is also being used for content generation. Right now, people are using these tools to write everything from blog posts to entire novels and just about everything in between. If a business owner can use it to generate exactly he type of digital marketing copy that they need at a much smaller cost than it would take to hire a team of people to do the same, one can’t help but wonder – what do you need that team of people for after a certain point?

Right now, the digital marketers themselves are still in control of the marketing experience. But how far off is a day when that is no longer the case? Artificial intelligence is supposed to get better at whatever task it is programmed to do over time. When it becomes better at connecting with audiences than human marketers are, it will reach that point objectively. Then what?

All this is somewhat ironic within the context of an industry like digital marketing – something that was founded based on the principles of disruption to begin with.

For decades, marketing was a fairly straightforward affair, driven by ad agencies filled with copywriters who spent time crafting a message that would be effective with the largest possible audience in an instant.

Then came the Internet and the increased level of personalization that came with it. This disruption was massive – marketing success was no longer about the broadest message, but instead focused on getting the right hyper personalized message in front of the right person at exactly the right time. Seemingly overnight, the focus of an entire industry changed for all-time.

Now, it seems poised to happen again. It is being shepherded by an extension of the very technology that supplanted teams of ad men on Madison Avenue all those years ago.

The Future of Digital Marketing is as Disruptive as Ever

Perhaps the most important question is this: is the level of disruption on digital marketing brought on by artificial intelligence even a problem at all? Likely not from the perspective of the end users, who still get the personalized experiences they crave. Probably not from the point of view of the businesses who need marketing collateral to sell their products, either.

So what does digital marketing – and its ability to employ countless people – even look like a year from now, let alone in five or ten? Nobody can say right now, but it’s something that many industry professionals will be thinking carefully about for the foreseeable future. 

How ChatGPT Is Disrupting the Very Idea of Art Itself

By now, most people are familiar with the sheer level of disruption that AI-driven tools like ChatGPT are leaving in their wake. That one in particular is already being used take (and pass) business school exams for people. A mobile app like the Robinhood app was used by Reddit to upend the stock market. It’s changed the way people think about searching online. It’s had a major impact on eCommerce. The list goes on and on.

But when it comes to art, the impact has largely been limited to being a novelty… until now. People have used ChatGPT to write wonderfully bizarre essays or to create rudimentary pictures based on rough descriptions. But could that same tool soon be used to instantly create another season of your favorite television show, or to write massive series of novels so that you never run out of something to read?

If the answers to those questions are “yes”… is that a problem? That’s where things get tricky.

The Impact of AI on Art is Already Here

Perhaps the biggest example of this idea playing out in the news right now takes the form of the Hollywood Writer’s Strike. For those unfamiliar, all writers who are a part of the Writer’s Guild of America (or WGA for short) began a strike in May 2023 with a list of demands that studios like Disney and Warner Brothers initially refused to accommodate. One of them had to do with protections against the impact that artificial intelligence might have on the entire industry.

One of the WGA’s demands was that studios “regulate the use of artificial intelligence on all covered projects.” More specifically, they want guarantees that AI will not be used to write or rewrite literary material, that anything generated by AI cannot be used as source material, and that anything covered under the Guild (which is just about everything produced by the major Hollywood studios) can’t be used to train an artificial intelligence algorithm.

To put it another way, writers want guarantees that they’ll lose out on future jobs in the future because AI will simply be used to fill that void. If they turn in a first draft of a script, they want to make sure that they won’t be immediately fired so that an AI can then rewrite it for free. Anything that has previously been written (like a script for cinematic classics like “The Godfather” or “Gone With the Wind”) should also not be used as training material to allow an AI algorithm to do all of the above.

In essence, what they’re trying to protect is not necessarily their ability to be artists – as any of us can do that at any point. It’s their ability to make a living from it. If a studio has a choice between paying someone to write a script and using an AI tool like ChatGPT to create that same script for “free” (after the initial investment of course), and the results are similar if not identical, it’s clear that they will select the second option almost every time.

Equally complicating things is the subjective nature of art. Person A could watch a movie that they loved while Person B could watch the same movie and think it was terrible. So who is to say a script written by an AI tool like ChatGPT isn’t just as good as one written by a human?

The same is true of the quality of a painting written by AI, or a song that has been generated in largely the same way.

So even though, as it stands, AI cannot replicate the quality of human-derived art with 100% success (just look at the hands in any AI-generated drawing of a human for proof of that), there will come a day when that is no longer the case. Given how hard the Hollywood writers are currently fighting, that day may come a lot sooner than most people realize.

What happens then? If “art” lacks that human element – that connection that we make with the thoughts, ideas, and feelings of another human being – does it continue to be art? If “yes,” does that matter? Is this future inevitable? These are the types of questions that people who care about art and its impact on our society are already having.

As the philosopher Alfred Korzybski once said “a difference which makes no difference is no difference.” When it comes to art as a concept, that is a level of disruption that we all may have to come to terms with sooner rather than later.

<em>How AI Is Disrupting the Modern Office</em>

How AI Is Disrupting the Modern Office

If you had to sum up the recurring theme of the last several years in virtually all areas of our lives, “disruption” would be the word you would undoubtedly use.

We have witnessed some significant and thrilling instances of disruption, such as how a community of Reddit users utilized the Robinhood app to revolutionize our perception of stocks. However, the impact of mobile apps on financial markets is merely the tip of the iceberg when it comes to the various forms of disruption that we have encountered.

Another form of disruption that is prominent in ways both large and small takes the form of AI, or artificial intelligence. In just a few short years it’s changed the makeup of the modern office significantly – something that is true in a number of ways that are worth exploring.

The Role of AI in the Ever-Changing World of Work

For decades, managers have existing in an office environment primarily for the purposes of “people management.” They help make sure that team members and other employees are staying on-task, are moving in the right direction, are keeping up with all necessary deliverables, etc.

With AI tools that are already available, all of this can now be automated. An estimation between 40% and 50% of human resources functions are now using many AI-augmented applications to perform these tasks with greater ease and accuracy than ever before. Somehow, this has simultaneously managed to make the human resources department more valuable than ever thanks to the timely and accurate insight that it can generate, while also completely shifting the definition of what employees working within this department are expected to do.

As the world rapidly adopts AI technology, even Zoom has hopped on the bandwagon. In a recent announcement, the video conferencing platform revealed its collaboration with OpenAI, the creators of ChatGPT, to introduce AI-powered features, primarily targeting sales teams, marking a major shift for the company.

The feature, dubbed Zoom IQ for Sales, uses artificial intelligence to digest the massive volumes of data that organizations are already creating to generate an accurate and real-time engagement score for all customers in a system. It is intended to give insight into how “attentive” a customer is based on the amount of time that passes between when they make contact, how long they speak during calls, the number of times they speak when talking to an employee, and more. It also generates a sentiment score that essentially measures how positive or negative their attitude is when they participate in meetings.

In an instance, tasks that formerly took up a significant amount of a sales representative’s day in the office are now handled quickly, easily, and accurately by an AI tool. This in turn frees up as much of their valuable time as possible to focus on matters that truly need their attention.

But how soon will it be before these same AI tools are essentially running our Zoom meetings for us? Suddenly what was once a pivotal collaborative tool during the pandemic becomes yet another opportunity for automation. If that isn’t a perfect example of disruption – and the rapid pace it often arrives with – nothing is.

In the end, it’s truly incredible to think about that which has been made possible thanks to AI in an office environment over a (relatively) short period of time. From the role of automation in allowing employees to work smarter, not harder, to the recent emergence of tools like ChatGPT. When you consider all that artificial intelligence has been able to disrupt in just a few short years, it’s truly amazing to think about what the next few might have in store for us all.

<em>The Disruption of AI in the Healthcare Space</em>

The Disruption of AI in the Healthcare Space

Much has been written about artificial intelligence over the last several months – particularly when it comes to consumer search.

ChatGPT debuted mere months ago, and it’s already being heralded as the natural evolution of the chatbot. Not only can it do everything from answer complicated questions to generate responses to prompts, but it can even help generate content like resumes, blog posts, and more. Things have gotten to the point where, according to one recent study, an estimated 70% of people who regularly use ChatGPT at work to make their lives easier haven’t actually told their bosses that they’re doing so.

But while this may be the flashiest example of just how disruptive AI can be, it’s far from the first – or even the most important. Medical professionals have been using artificial intelligence in the healthcare space for years, for example – all in ways that are changing how we think about the care provided to patients and the potentially lifesaving outcomes that we’re able to generate.

AI and Healthcare: The Perfect Pairing

One of the most immediate ways in which artificial intelligence is being used in healthcare has to do with patient triage, particularly as it relates to reviewing images, scans, and other critical documents.

In an effort to find out what disease or condition a patient is suffering from, a doctor will typically order a battery of different tests. Those tests produce scans and diagnostic images of organs like the heart or lungs that then need to be carefully reviewed. The issue is that not only does this typically take a great deal of time, but it is also susceptible to human error as well.

Artificial intelligence, however, can be trained on massive amounts of data to perform the same basic tasks in a fraction of the time. Not only can then quickly analyze images and other records at high speeds, but they can do so far more reliably than a human ever could. This can lead to a faster diagnosis on behalf of the patient, which can get them the care they need quicker and improve outcomes along the way. Not only that, but it frees up the invaluable time of the medical professional to focus more on those matters that could truly use their attention.

The same concept holds true to the way that artificial intelligence is being used to train doctors, nurses, and other clinicians as well. Again, once an AI system has been given the chance to ingest the right, quality dataset, it can review information and “make decisions” with an incredibly high degree of accuracy. When used as an assistive training tool, this can help to minimize the types of mistakes that new doctors are likely to make, can help usher in more accurate clinical judgments, and more. All of this results in better trained medical professionals getting out into the field far faster and with a more robust education than ever.

All of this helps bring about the most important benefit of all: higher quality and better healthcare for larger numbers of people, allowing for lifesaving treatment along the way.

Based on use cases like those outlined above, it’s easy to see why it has been estimated that artificial intelligence could save the healthcare industry approximately $360 billion per year. Once obstacles like slow adoption rates among doctors and patients are overcome, there truly is no limit to the potential that is on display in front of us.

In the end, it’s safe to say that technology is changing just about every facet of our lives. In a world where a collection of Reddit users can use a mobile app like the Robinhood app to disrupt the stock market, should anyone be surprised of what AI is capable of in contexts like healthcare? Perhaps it is best to think about it this way: what is impressive is not necessarily what AI can do today, but what it will potentially be able to accomplish tomorrow. That in and of itself is truly exciting to think about.