The future of AI in media

In our formidable years, we all likely imagined flying cars and robots everywhere in the future. Perhaps the future is not exactly how we pictured it, but our visions are coming to life (sans flying cars, for now). Artificial intelligence (AI) has been making leaps in bounds in its progress to become a part of our everyday lives. We can create new ways to communicate and consume media with machine learning, big data analytics, and advanced algorithms. We share our insight on how AI will continue to impact media and communication worldwide.

Content creation

If you've tuned into the news, read business articles, or even logged onto a social media platform, chances are you've heard of ChatGPT by OpenAI. ChatGPT is the first of many platforms to start changing how we produce written content. This AI creation "uses deep learning techniques to generate human-like responses to text inputs in a conversational manner," according to CNBC. AI of this nature enables users to give the AI a command such as "write a business article about how ChatGPT will impact content writers," and as a result, it will manifest such an article.

What does this mean? We know it's not replacing writers (for now) because software can detect AI writing. This detection means Google Ads, business leaders, and even professors can sniff out AI writing. But ChatGPT can assist with SEO by optimizing for Google Ads and helping with editing or content ideas.

But don't get too excited yet. This type of AI requires tweaking because there is a risk it will deliver inaccurate information. The most prominent example of a mishap occurred when Google launched its own AI chatbot, Bard. At the public unveiling, Bard answered a question incorrectly, leaving executives scrambling and stock prices dropping. So, for now, writers are safe.

Companies getting personal

It's no secret that our information is out there for the taking. Information gathering has been happening for years, with and without our knowledge, and thanks to AI, companies can now utilize that aggregated data to create a customizable experience. With machine learning, businesses can start understanding their customers more thoroughly and with quicker response times. This type of AI requires only an initial gathering of information and then utilizes self-learning as more information is garnered in the future, making the process more efficient.

What does this mean? These models can assist companies in forecasting future sales as they track customer clicks, views, calls, etc. As consumers, we can expect an experience that uniquely caters to our interests, increasing the chances of purchase.

Real-time translation

AI can leverage deep learning to assist with real-time and accurate language translation. The world comprises over 7000 languages which is more than anyone can comprehend, making this particular type of AI very handy. Previously, translation software was limited to "hard coded grammar rules," making translation choppy and sometimes inaccurate. Now, with AI tools and deep learning, language can be translated along with its context. With this rapid and accurate translation, we can expect to see the real-time translation on multiple forms of media and communications.

What does this mean? AI translation can help improve business relations as business leaders can communicate effectively with their international partners. These real-time translations also spill into winning new customers, allowing companies to reach market space they might not have otherwise been privy to.

Volt is your hub for everything AI

At Volt, we strive to keep up with the ever-changing landscape of technology and, as such, have positioned ourselves as an industry leader. Whether you seek a role in AI or talent for your teams, Volt can help. Contact us today to learn how we can assist you and your tech needs.