10 Real-Life Examples of how AI is used in Business

AI is transforming the banking sector by boosting efficiency, preventing fraud, and improving decision-making. Large financial data sets can be analyzed by AI algorithms to find trends and insights that people might overlook. Credit scoring algorithms that more properly evaluate risk are created using AI-powered technologies.

The always-on advantage: 60+ market signals processed every second

ML continuously learns from new data, improving over time, and can facilitate sales forecasting and customer behavior analysis and refine campaign targeting. The software industry is evolving due to the proliferation of AI applications, particularly those powered by large language models (LLMs). AI-driven tools are transforming how developers build, optimize, and scale web applications by automating tasks like code generation, debugging, and performance optimization. Companies looking to leverage AI for web applications can explore various  AI tools for web app development to enhance efficiency and streamline workflows.

• As someone who’s passionate about staying ahead of the curve, I believe AI isn’t just a passing trend — it’s a revolution that’s here to stay, and entrepreneurs who don’t embrace this shift will be left behind.
• Looking ahead, the most successful mobile brands over the next 12 to 18 months will be those that stop thinking in silos.
• If you upload a campaign brief, it can generate assets that you can use for a complete marketing campaign.
• This accelerates the process and allows you to dedicate more time on strategy-building.
• AI is transforming finance by detecting trends in big data, improving workflows, and preventing fraud.

The Content Trap

I needed a way to do the work I love at a high level, without sacrificing the presence I want to have at home. AI quickly became part of that equation, not as a shortcut, but as a smart teammate. Looking ahead, the most successful mobile brands over the next 12 to 18 months will be those that stop thinking in silos.

Analyze Marketing Workflows and Needs

• With AI in marketing, marketers have an opportunity to craft a prompt that can generate an outline for a schema, using the preview tools like DrawSQL for additional guidance.
• Evaluating content is another important use case—AI can be leveraged to determine which content received the most engagement and at which points during the event.
• This strategy illustrates how AI can complement human labor and lead to improved operational outcomes.
• Only 26% of businesses possess the necessary skills to move beyond pilot projects and achieve real benefits from AI deployments, according to a 2024 analysis by the Boston Consulting Group (BCG).
• AI technologies like machine learning and natural language processing can automate and optimize marketing for more personalized engagement, better competitive advantage, and improved customer support.

This means businesses can deliver the right message to the right audience at the right time. When you use AI for marketing, you can make data-driven decisions about where you invest and allocate media spend. Predictive analytics can also help you detect sales, spend, and seasonality trends so you can make informed decisions about products, placement, and inventory. Companies like Trace One employ AI to automate the extraction of information in product lifecycle management. These businesses demonstrate AI’s potential to enhance accuracy and efficiency in retail operations by streamlining processes and improving data analysis. McDonald’s is implementing AI across 43,000 of its locations to enhance customer satisfaction and operational efficiency.

You can read our article about 20 Best AI Stocks To Buy Now if you are interested in stocks that are most likely to benefit from the developments in AI. In today’s vibrant and volatile marketplace, the required marketing AI skills have shifted from focusing on complex programming details to understanding the programmatic activity behind prompts. Prompts go beyond mere queries; they allow users to frame their questions based on their knowledge. This expertise paves the way for various skills marketers can leverage to enhance their prompt responses and AI workflow productivity. With AI, the outputs are only as good as the data inputs, making it critical for event marketers to have access to the right data. When armed with high-quality data, AI can accurately support data sorting and analysis.

I wanted to prove that you can lead high-impact marketing without burning out and that tools like AI aren’t about taking away creativity, but protecting it. It’s your most eager new team member, capable of incredible things but still learning the ropes. The real opportunity for marketers today isn’t just using AI to write faster, but to think smarter, act faster and drive more revenue. Over 60% of marketers are deploying custom fraud tools, while others are turning to private marketplaces and direct publisher relationships. At Bidease, we’ve found that rigorous supply audits and continuous monitoring are essential, not just for ROI, but for brand safety. AI has grown from being a facilitator to becoming a strategic differentiator that can revolutionize the way businesses engage with their target market.

AI in marketing is still in its infancy and we’re not even scratching the surface of what’s possible. As AI technologies evolve, marketers and journalists like myself will have access to even more advanced tools that will give us deeper insights and more automation. From voice search optimization to AI-generated content that’s as good as human creativity, the future is looking exciting for those who are willing to adapt. The power of AI is in its continuous optimization, so it’s a valuable asset for businesses that want to stay ahead in a fast-changing market.

It’s machine learning, NLP (natural language processing) and predictive analytics doing the heavy lifting so you don’t have to. AI shines with things like customer segmentation, content optimization, ad automation and chatbots. Throughout my career, I’ve seen businesses of all sizes develop strategies that use emerging technology to drive engagement and revenue. From production to packaging to distribution, artificial intelligence (AI) has shown itself to be a dependable technology to direct this industry’s next evolution.

Continuously monitor AI marketing strategies against your established KPIs to track progress and uncover areas for improvement. Clearly outline marketing objectives that AI will support, such as lead generation. Develop specific Key Performance Indicators (KPIs) to measure success, aligning with qualitative goals, like improving customer experience. What’s important, and this would be my advice to other marketeers, is stand behind your values. Think about the values of the brand, and then it’s super okay to have a statement that not everybody will love, but you stand behind it and do some disruptive marketing that breaks through the clutter. Don’t try to be nice and do the average thing, because then really nobody cares.

Image recognition, a subset of computer vision, uses AI to identify and interpret objects and scenes within images. This technology is particularly useful in e-commerce, where customers can search for products by means of images instead of text. Image recognition is also employed in targeted advertising, analyzing user-generated content to serve more relevant ads. Multi-touch attribution (MTA), media mix modeling (MMM) and incrementality testing are now standard tools in the marketing industry.