How data science and AI have evolved gaming technology

2021 was an exciting year for the Indian gaming market. This year, the online gaming sector has advanced and changed its paradigm due to many encouraging factors, such as young and technologically savvy young people, multifunctional smartphones, affordable data connectivity and overall technological development.

According to a KPMG report, in 2021 India’s online gaming market has amassed revenue of Rs 136 billion. Because of the pandemic people are spending more time online, the gaming industry has received a significant boost.

With such a growth trajectory, the industry is expected to grow at a consolidated annual rate of 21 percent to Rs 290 billion ($ 3.84 billion) over the next five years.

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The growth was supported by the development of technology, ie the availability of high-speed data, digital payments, the huge penetration of devices, as well as expanding the offer and quality of games.

With all these key factors in mind, Indian online gaming is expected to grow to 510 million in 2022.

Data science supports the growth of the gaming industry

Data science and artificial intelligence (AI) have changed the face of the gaming industry. While competition in the gaming industry is high, companies strive to attract and engage their audiences through a variety of models.

To achieve this, Data Science helps gaming companies analyze various factors that influence user behavior, such as consumption pattern, time spent on the platform, interaction time, point of failure, benefits, outcomes and outcomes.

Gaming companies use technologies such as photogrammetry techniques that use photographic data and convert it into realistic digital models.

On the other hand, movies / capture is a technology that helps to create characters with more human features. Data analytics also helps to improve content based on data analysis.

The role of Data Science has seen interesting growth in the development of game models. Along with this, a significant development took place in the analysis and identification of points for optimizing, forecasting and expanding the capabilities of machine learning algorithms, identifying patterns and trends to map service and improve game models.

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The focus of analytics and data science is on developing profitable games and engaging users. For example, developing the best scenarios for gamers so that they do not feel annoyed and sad while playing.

Many companies also use data to detect cases of fraud and in-game fraud, and to address this issue, AI has come to the rescue for the gaming industry.

The amount of data to be processed began to increase as the number of users grew exponentially.

Therefore, some of the key data such as user playing time, interaction time, failure point, benefits, results, scores and other data play an important role in engaging users.

Thanks to technological advances, various datasets can now be entered into artificial intelligence and machine learning systems to provide gamers with unique information, and further this information can be used to understand and even personalize users ’expeditions across the platform via data clicks.

Responsible AI in gaming technology

Non-gamers (NPCs) create interactive, responsive and adaptive experiences in games based on artificial intelligence. AI engines determine the behavior of these characters in the game world.

AI allows developers to create console impressions on a variety of devices such as laptops and smartphones. Research has shown that AI is somehow capable of inducing human behavior, creating a great need for responsible AI in the gaming industry.

This imposes on companies a great responsibility for the development, development, procurement, deployment and responsible use of technology. The tools, created using artificial intelligence techniques, allow operators to analyze the needs of players, identify possible marketing opportunities with a selection of odds, as well as with responsible gaming initiatives.

By processing the vast data created on the gaming platform, Responsible AI also provides a fair and secure gaming environment. Responsible AI in games is needed to protect users and companies from potential risks (including cyber risks) that can cause physical and digital damage.

To be fair, data scientists need to be careful and take data bias into account when building models. A structured AI / ML model is important for creating a healthy gaming culture, maintaining constant user interaction, and creating a safe and healthy gaming arena online.

This will further lead to the exponential growth of the gaming industry as well as attract international players to invest in the Indian gaming market.

(Author – CEO and Founder of Witzeal Technologies Pvt. Ltd.)


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