Artificial intelligence, which has appeared in all areas in recent years, refers to machine simulations programmed to mimic human intelligence, thought structure, and actions. AI technology can also be applied to different devices with features associated with the human mind, such as learning and problem solving.
The major feature of artificial intelligence is its ability to rationalise data and perform actions that have a high chance of achieving a specific goal. A sub-version of artificial intelligence is machine learning, which refers to the concept that computer programmes can automatically learn and adapt to new data without human assistance. Deep learning techniques enable such machine learning by assimilating a lot of unstructured information such as images, text or videos.
Artificial intelligence (AI) also enriches the workflow of B2B companies with dynamic capabilities. Companies can use artificial intelligence technologies such as machine learning and algorithms to automate marketing processes and add augmented intelligence methods to their marketing strategies. Thus, companies can optimize customer experiences, make them more personal. So, what are the uses of AI, and in what areas can companies take advantage of artificial intelligence? Let's take a closer look at what's curious about AI.
AI technologies are constantly evolving to benefit many industries at the same time. The areas in which artificial intelligence is most used today are as follows:
Artificial intelligence is built on imitating human cognitive activities. Thanks to the latest developments and technologies in this field, quite rapid steps are being taken in imitating activities such as learning, reasoning and perception. However, as more and more businesses adopt the use of artificial intelligence, it is also becoming clear that artificial intelligence serves to complement human intelligence rather than replace human. Personalized experiences are becoming widespread in all areas, companies are also starting to leverage artificial intelligence to create a better customer experience. Here are some ways B2B companies are transforming their marketing strategies through AI!
Creating quality leads is one of the biggest challenges facing companies in marketing today. Part of these challenges stem from the labor intensity in collecting, managing, and analyzing data. To solve this problem, companies can automate the task by integrating AI applications on data collection and analysis into their lead generation processes. This, in turn, helps to increase the quantity and quality of possible sales in the company.
Thanks to artificial intelligence, accurate, real-time dynamic data that employees may miss in databases can be actively used in sales channels. With all this improved system and data accuracy, companies can identify more leads, create target customer groups, and implement more comprehensive lead scoring systems in marketing.
Creating the right customer characters and ideal customer profiles is critical for businesses with a personalized sales target. Chatbots and various analytics tools that work in conjunction with artificial intelligence can help businesses achieve these goals. For example, this way you can more easily identify the points where your customers are having problems, their buying behavior. All of this work can be used to strengthen customer personas and create customized data. With the right customer personas, businesses can act to approach their potential and current customers at the right time.
Smart technologies are among the areas where artificial intelligence stands out. Digital assistants like Alexa and Siri are the first apps to pave the way for voice-based technologies. Now users prefer the voice search feature not only for surfing the Internet, but also for buying things.
AI digital assistants are constantly evolving, becoming more intuitive to their users' speech patterns and research habits to optimize search results based on their users' preferences. Businesses are also taking advantage of this by making their websites suitable for voice calls. This is extremely effective in creating design strategies that not only connect websites with more leads but also make websites more accessible to everyone.
AI is one of the most important personalization tools businesses need to use to their advantage.
Now customers are in a position to expect businesses to better understand their own needs and preferences every day. AI-driven marketing tools simplify this process by helping businesses gather user behavior insights and create the right user personalities. This information can be used to edit website landing pages, blog content, emails, digital ads and other marketing materials. Thus, companies have the power to make personalized contact with customers at the right time, solve their problems and anticipate their wishes. Also, thanks to AI, all of these communication processes can be scaled with marketing automation.
It's important to update your website's performance data to identify problems for your customers or revamp your marketing methods. AI-powered tools like Google Analytics Intelligence use machine intelligence to easily scale complex data into actionable meaningful data.
One of the best things about AI is that companies can be instantly aware of sudden or unpredictable data shifts. When there is a sudden increase in metrics such as the rate of visitors leaving your website immediately or the percentage of people leaving your website after a session, AI tools notify companies by sending relevant data as well as real-time alerts. Such sudden changes may indicate technical errors that harm the business. So this is a metric that businesses will want to keep a close eye on. The same assessments can be made for mobile applications.
Nowadays, where content is extremely valuable, AI-powered SEO tools do much more than save you time by finding relevant keywords. Tools that identify trending topics find competitive gaps and create new content areas for forward targeting by making keyword predictions. In addition, AI-powered applications can optimize legacy content for SERP by performing dynamic keyword and link updates. Basically, with artificial intelligence tools, you can update your old content and keep your new content always ahead.
When it comes to content creation, AI is still not enough to create texts that appeal to emotions and engage. But it is possible to find many artificial intelligence tools that authors or editors can use to improve content. Authors have AI-based content assistants like Grammarly that combine grammar rules with machine learning, deep learning, and natural language processing to help them create professional and error-free content. With customized applications like this, it is possible to make the content creation process easier and more practical.
You may have correctly updated your content and made it ready for publication. But if you post your content at the wrong wrong time, all your effort may be wasted. You can use artificial intelligence at this very point. AI applications help achieve maximum customer engagement by ensuring content is published at the right time.
Essentially the best time to post a blog and social media content is in the afternoon or evening hours. The best time to send marketing content is early hours. AI monitors a companies' website data and customer behavior to determine optimal publishing times minute-by-minute. Also important is the platform on which businesses publish content and the devices on which they optimize content. In this regard, artificial intelligence analysis tools can be used to discover exactly which platforms and devices targeted customers are using.
AI technologies are evolving every day, determined to create a unique revolution in the business world. You can carry out your digital transformation using Komtaş's end-to-end artificial intelligence solutions in many areas of your company.
Stable Diffusion, özellikle görüntü üretiminde öne çıkan bir yapay zeka modelidir ve kullanıcıların metin girdileriyle yaratıcı, yüksek kaliteli görseller üretmelerine olanak tanır
Pattern recognition occurs when an algorithm places iterations or regularities within large datasets or into different datasets.
Diffusion Models, makine öğrenmesi ve yapay zeka alanında özellikle görüntü üretiminde son dönemde büyük ilgi gören modellerdir. Diffusion models, gerçekçi görüntüler oluşturmak için veriler üzerindeki gürültüyü modelleyerek çalışır
We work with leading companies in the field of Turkey by developing more than 200 successful projects with more than 120 leading companies in the sector.
Take your place among our successful business partners.
Fill out the form so that our solution consultants can reach you as quickly as possible.
By combining our 30+ years of experience and experience with the centers of excellence in our ecosystem, we prepare your organization to lead the digital transformation!
