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IS ARTIFICIAL INTELLIGENCE CORNERING METAVERSE?
IS ARTIFICIAL INTELLIGENCE CORNERING METAVERSE?
Virtually all businesses across a wide range of industries will see significant financial gains from the rise of the metaverse.

Partnering AI and big data

Virtually all businesses across a wide range of industries will see significant financial gains from the rise of the metaverse.

According to Bloomberg, the market could be worth $800 billion by 2024. Facebook changed its name to Meta in October 2021 to better fit the brand-new digital environment.

Many have hailed the metaverse as a brand-new frontier for immersive technology that mixes elements of virtual and augmented reality, interactive visual graphics, and artificial intelligence.

Big data, however, seems to be the primary technology that will advance alongside the metaverse in many businesses. Companies may already gather useful information on large groups of customers through their web browsing, but in the metaverse era, the sheer amount of data that people will generate will greatly increase.

Even though many companies are waiting to watch how the metaverse develops, it’s important to consider how the new technological era might enhance their operations, marketing strategies, and customer experience, models.

Partnering AI and big data

As information shows, computer-based intelligence can join forces with enormous information to convey a scope of improvements through client experience models and item revelation.

Digital twins, which rely on computer programming to create accurate simulations of product performance without the need to create expensive prototypes, provide early examples of big data in action. Due to the costs involved in conducting aerospace flight simulators, this method is particularly prevalent in the aviation industry.

The amount of data that users generate while navigating the Web3 environment will help digital twin simulations in the metaverse predict precisely how audiences will react to new services or applications by providing specific predictions about engagement levels, anticipated pain points, and the likelihood of repeat use.

The metaverse, which some refer to as Web3’s next generation of the Internet, “promises to upend everything we know,” according to Maxim Manturov, Freedom Finance Europe’s head of financial advisory. “Throughout the following couple of years, we will probably all be partaking in this extensive environment by means of working, playing, visiting, and effective money management. Web 1.0, the earliest version of the Internet, was characterised by static one-way web pages. Do you recall Netscape and Yahoo? Users were merely inert observers. Web 2.0, the era we are currently in, followed. Even if consumers play the role of active players, the internet of today is extremely centralised and controlled by a limited number of businesses like Facebook and YouTube.

Taking into account the sweeping changes that metaverse innovation is probably going to carry to all organizations with a web-based presence, we should investigate how enormous information can improve organization activities throughout the next few years.

Big data can transform business intelligence

Businesses will be able to gather and analyze vast amounts of data from internal and external sources within platforms as the metaverse expands in order to acquire detailed, practical insights about audiences and their common interests and intentions.

These data sources may be completely unstructured, partially structured, or both. Algorithms and platforms that are currently accessible are attempting to analyze amounts of data while making very accurate predictions about the future.

Everyone will benefit from the metaverse, but businesses are learning how to prepare for the new surge of big data that the new frontier will produce through augmented and virtual channels. And by the time the metaverse gains widespread acceptance, more complex algorithms will probably already be in use.

According to study findings, big data is currently being used by enterprises all over the world for a range of insights. We’re going to witness far increasing amounts of dependence on big data analysis in the creation of predictive models and decision-making activities when people replace their keyboards with virtual avatars in an immersive virtual environment.

In the wake of the metaverse, big data will likewise become increasingly pervasive across a variety of businesses. One such instance will be in the trade sector, where brands and online retailers will be able to establish a digital presence in fresh digital marketplaces where clients can engage with retailers as though they were strolling along a virtual high street.

Adopting gamification

Every time a client interacts with a virtual item in a metaverse shop, vast amounts of information about their intentions and preferences are produced. This has advanced to the point that companies may be able to create a comprehensive client profile based solely on the source of the encounters.

Based on their interactions with your business, you will be able to determine the emotion of the user as well. Since entertainment will be crucial in a Web-3 future, it’s likely that companies will turn to gamification tools to keep customers around longer and learn more about their interests.

According to data, 72% of metaverse users engaged in online entertainment or gaming in 2021, while 44% purchased in-game items like skins and downloadable content.

Marketing the metaverse

Businesses can again make the most of this data to obtain deep insights into how their audience behaves, what they like, what drives them away, and what is most likely to keep them interested for a longer period of time.

Additionally, it will be possible to better understand a customer’s beliefs and values by using additional data, such as the cryptocurrency they choose to use for payments. This type of information can also be used to spot developing micro- and macro-trends toward particular coins, decentralised financial protocols, and token ization strategies.

We’ve already witnessed Facebook fast change into Meta in order to get ready for the metaverse.

Companies can learn from monitoring the social media giant’s early forays into the metaverse because Meta is already an expert in this area when it comes to acting on vast amounts of big data.

In order to make Meta a top marketing portal as the early metaverse takes shape, Facebook’s marketing capabilities’ metadata will also be converted into metadata along with user IDs. The future delivery of incredibly effective tailored advertising for businesses can greatly benefit from the utilisation of such data.

Companies can gain insight from following the social media behemoth’s early ventures into the metaverse because Meta is a pro at acting on massive amounts of big data.

Along with user IDs, Facebook’s marketing capabilities’ metadata will also be transformed into metadata in order to make Meta a leading marketing portal as the early metaverse takes shape. The use of such data can lead to the delivery of very effective customised advertising for firms.

Sandbox could be used in a way to provide pertinent information on Meta’s early popularity despite Meta’s early dominance in big data. A new opportunity to outwit rivals exists with the internet’s next generation. Businesses who adopt the metaverse now are probably going to be much more effective at capturing their target audience in this brave new world by moving earlier and faster.