8 ways to use AI in digital marketing + examples
In the ever-evolving world of marketing, the emergence of AI has caused a seismic shift that has transformed the industry beyond recognition. This groundbreaking technology has shattered previously insurmountable barriers and opened up a world of possibilities that were once considered out of reach. In recent years, AI marketing has evolved from a mere theoretical concept to a fully established industry, complete with a myriad of players offering state-of-the-art solutions. With the power of AI, marketers can now harness vast quantities of data, automate complex processes, personalize content, and make razor-sharp predictions with unparalleled accuracy. By tracking mentions, hashtags, and overall sentiment, you can respond proactively to customer feedback and adjust your messaging to what strikes a chord.
challenges of using AI in marketing
Organizations selecting an AI solution have many different platforms and capabilities to choose from. If they followed the first four steps carefully—laying out their goals, hiring the right talent and ensuring the quality and accuracy of their data—choosing the right tool is straightforward. Laying out training programs and change management systems can help ease the transition toward AI, and help ensure that marketing departments get the most out of the technology. It will also help them know which tasks must be done by a human rather than a machine. Programmatic advertising is the automation of the purchasing and placement of ads on websites and applications. AI significantly enhances organizations’ abilities to conduct programmatic advertising by using customer history, preferences and context to deliver more relevant ads with higher conversion rates.
Artificial intelligence Reasoning, Algorithms, Automation
While generative AI is becoming increasingly common, it's far from clear where or how these tools will prove most useful. And given how new the technology is, there's reason to be cautious about how quickly it is rolled out, Hooker said. "It's very unusual for something to be at the frontier of technical possibility, but at the same time, deployed widely," she added.
The 40 Best AI Tools in 2025 Tried & Tested
Unlike traditional search engines that provide a list of links, Perplexity offers direct responses, complete with citations for verification. Its user-friendly interface and real-time information retrieval make it a valuable tool for research and quick information access. Today, it leverages advanced AI to help shape your writing—ensuring that tone, clarity, and style align with your intended message. Rather than merely flagging errors, Grammarly’s AI-driven engine analyzes context and provides targeted suggestions that can transform your writing into more engaging, coherent prose.
How do you write a good text-to-image AI prompt?
Specialized vs. General-PurposeWhile ChatGPT dominates general-purpose queries, specialized tools like Midjourney and Perplexity show that focused applications can capture significant market share. It’s not as fast or polished out of the box as Suno, but if structure and customization matter to you, Udio is the stronger option. The biggest advantage Copilot has over Gamma is familiarity — almost everyone already knows how to use PowerPoint, so there’s no learning curve. In my current job, I have to present all the time — to clients, my boss, and the rest of my team.
What is AI inferencing?
In a paper published in Nature today, IBM showed it’s possible to build analog AI chips that can handle natural-language AI tasks with an estimated 14 times more energy efficiency. Sometimes they nail the answer to questions, other times they regurgitate random facts from their training data. If they occasionally sound like they have no idea what they’re saying, it’s because they don’t.
What’s next for analog AI
For example, GPT-3, one of the larger popular models, has 175 billion parameters, or weights. The next wave in AI looks to replace the task-specific models that have dominated the AI landscape to date. The future is models that are trained on a broad set of unlabeled data that can be used for different tasks, with minimal fine-tuning. These are called foundation models, a term first popularized by the Stanford Institute for Human-Centered Artificial Intelligence.
usage "Hello, This is" vs "My Name is" or "I am" in self introduction English Language Learners Stack Exchange
The difference in meaning is minor, and the difference in usage (in the real world) is also quite minor. Likewise, bearing in mind that in the UK, at least, multiple vendors of laptops might operate in a single store, if you say 'in' then you may not be writing to the right person. I want to respond my counterpart in another location that I submitted required application or form and request him to review the application and let me know in case of any additional information.
Discussion versus discussions?
It is an old-fashioned term and native speakers of English do not use it. It is used in neither British English nor American English. Discussion is one of those words which can be a mass noun or a count noun. As a mass noun it means the act of discussing in general, as a count noun it means a single event of discussing. So for useful discussions implies that there were several separate times at which you discussed.
How To Leverage Generative AI For Small Business Growth
This collaborative approach accelerates the development and implementation of innovative solutions. With the adoption of generative AI, PepsiCo has reduced the new product development timeframe to as little as six weeks from six to nine months. For this, the company leveraged AI to rapidly analyze consumer data, identify emerging trends, and generate innovative product concepts. This rapid integration is attributed to AI’s ability to process vast datasets, identify patterns, and generate insights that were previously unattainable.
Innovation Management
The company runs multivariate tests to determine the best design and functionality options before a full-scale launch, minimizing risk and ensuring a seamless user experience. Analyzing these calls for quality control and customer satisfaction is crucial. AssemblyAI automatically transcribes the calls and applies sentiment analysis to gauge customer satisfaction.
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ChatGPT is an artificial intelligence chatbot capable of having conversations with people and generating unique, human-like text responses. By using a large language model (LLM), which is trained on vast amounts of data from the internet, ChatGPT can answer questions, compose essays, offer advice and write code in a fluent and natural way. It’s capable of carrying on conversations with human users and generating a wide range of text outputs including here recipes, computer code, essays and personal letters.
Difference Between Machine Learning and Artificial Intelligence
While these futuristic depictions represent AI, they are highly sophisticated forms of it. To create such advanced AI, foundational technologies like machine learning are essential. Artificial intelligence is the ability for computers to imitate cognitive human functions such as learning and problem-solving. Through AI, a computer system uses math and logic to simulate the reasoning that people use to learn from new information and make decisions. To be successful in nearly any industry, organizations must be able to transform their data into actionable insight.
The Top and most popular AI Use Cases Of 2024 as the technology has advanced
The partnership allowed BP to extend its best practices to other regions and industries. ASML partnered with Atos to develop and implement a global Place to Work, Meet, Learn and Share program. The program aimed to align stakeholders, increase transparency, and engage employees, ultimately enabling ASML to become a global technology leader.
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The models have the capacity to plagiarize, and can generate content that looks like it was produced by a specific human creator, raising potential copyright issues. Just a few years ago, researchers tended to focus on finding a machine-learning algorithm that makes the best use of a specific dataset. But that focus has shifted a bit, and many researchers are now using larger datasets, perhaps with hundreds of millions or even billions of data points, to train models that can achieve impressive results. Before the generative AI boom of the past few years, when people talked about AI, typically they were talking about machine-learning models that can learn to make a prediction based on data.
5 Benefits of AI to Know in 2025 + 3 Risks to Watch Out For
But while the results may be almost instantaneous, they can often lack the creativity and polish of those created by skilled professionals. While many employers may be happy to cut costs by replacing employees with AI, workers are understandably less thrilled about the prospect. Though there are many benefits to AI, there are also some potential downsides to its adoption.
What industries use AI the most?
Emerging roles such as AI specialists and smart contract developers highlight AI’s capacity to create new job opportunities. Mortuza Hossain is the Chief Content Editor and Writer at Dorik with expertise in SaaS, SEO, WordPress, eCommerce, and Technology. He writes to deliver reliable and valuable information that solves people’s problems worldwide.
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You can avail a no-questions-asked refund within 14 days after subscribing to one of our plans. Please use the chat option in the bottom right corner to raise a refund request or write to us at For more details, please refer to our refund policy here. Writecream is particularly useful in providing a structure for your blog if longform content is one of your challenges. This helps me a lot, as I just take all my points and put them under the right headlines, and have a clear flow in my blog. Provide our AI content writer with few sentences on what you want to write, and it will start writing for you.
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And yes, you can track how much each small tip saves you. ResearchRabbit works as an accessible exploration tool that shows networks of papers and co-authorships. The platform understands researchers’ priorities and keeps improving its suggestions based on their interests [35]. ResearchRabbit stands out because it knows how to suggest papers from both before and after those already saved.