Three Ways to Maximize Value with Generative AI
Artificial intelligence has become increasingly prevalent in various industries, and the gaming industry is no exception. With the use of generative AI, game studios have been able to tap into its creative potential for marketing, art, and more. However, understanding how to harness the power of this technology and implement it effectively can be a challenge. In this article, Levi Matkins, CEO of LifeStreet, shares three ways businesses can leverage generative AI to achieve greater success.
Identify Time-Consuming Tasks
Many business tasks can be time-consuming, especially when performed at scale. By automating these tasks using generative AI, companies can streamline their workflows, saving time and money. For example, content generation can be automated by creating custom headlines, summaries, and other forms of copy. This allows for a more efficient process and frees up resources for other important tasks.
Encouraging team members to utilize generative AI and explore its potential can lead to new ideas and improved performance. Tools like Chat GPT4 can be useful for generating fresh ideas and solutions. Additionally, coding assistant tools such as GitHub Copilot can enhance developer productivity. By empowering employees to use generative AI and share their knowledge, businesses can discover new ways to maximize its potential and streamline processes.
Keep Tabs on New Creative Tools
Generative AI has revolutionized content creation, making it easier and more cost-effective. Companies should stay informed about new generative AI systems that can assist in reducing costs and improving content creation. This could involve using generative AI to generate visually stunning assets for mobile games or creating natural-sounding voiceovers for promotional videos.
At LifeStreet, generative AI tools have been incorporated into various teams’ workflows to optimize mobile advertisers’ growth campaigns. For data augmentation, OpenAI’s ChatGPT has been used to generate descriptive tags that enhance model generalization. This has resulted in improved campaign targeting and bidding predictions. Additionally, generative AI has been utilized to create dynamic ads that personalize content for better engagement. Furthermore, generative AI has enhanced reporting capabilities, providing valuable insights for campaign performance and spend distribution.
Generative AI offers unparalleled efficiencies and optimization opportunities for businesses, particularly in the mobile advertising space. As this technology continues to shape the future of ad tech, it is crucial for companies to identify areas where generative AI can add value and encourage experimentation at all levels.