Artificial Intelligence has been around since the 1950s. However, it was only until recently that the AI revolution started. AI language models like ChatGPT continue to affect every industry, including tech sectors. This invention is leaving its mark in most tech-driven departments, from blockchain and cybersecurity to gaming and telecommunications. In this write-up, we’ll provide more insights on the good and few not-so-good impacts of AI and ML in the tech industry.
AI and Blockchain Integration
Blockchain is a decentralised ledger technology that saves data on thousands of servers. Anyone on the public network can access this data, although it’s impossible to edit it. Each block on the network has a list of transactions. Today, blockchain is applicable in various sectors. Besides cryptocurrencies, this tech trend is used in healthcare, finance, and supply chain management.
So, how does AI and blockchain work together? Combining AI and blockchain can increase operational efficiency, thanks to AI’s quick data analysis capabilities. AI in blockchain can also enhance data security and information accuracy. This technology can quickly analyse and understand data stored in a blockchain network. This adds a new level of intelligence and efficiency to blockchain business networks.
Automation is another value of AI in blockchain business networks. AI can analyse and collect unlimited data, adding speed and efficiency while removing friction. For instance, AI technology in smart contracts in a blockchain network can execute transactions, highlight expired products, and choose sustainable shipping methods. Blockchain and AI complement each other perfectly.
AI and Cybersecurity Systems
Artificial Intelligence in cybersecurity is another perfect match. Cybersecurity experts are harnessing the power of AI technology to provide more secure programs with intelligent threat detection mechanisms. AI programs, especially deep learning models and ML, can quickly analyse unlimited volumes of data. These systems can quickly identify security risks and patterns that experts might miss.
That’s not all. With AI technology, cybersecurity systems can automatically respond to potential threats. These programs can auto-block malicious IP addresses and shut down compromised user accounts or systems. It’s also a known fact that ML systems can auto-analyse emails and websites to highlight and block any phishing attempts. Overall, AI-powered programs can automate threat detection processes.
But it’s not all rosy in the AI and cybersecurity partnership. Modern hackers launch AI-supported attacks that can be challenging to deal with. In fact, a recent study by Sapio Research revealed that 85% of cybersecurity professionals blame the increasing attacks on dubious characters using generative AI.
Below is a quick list of the risks associated with AI and cybersecurity:
- Generative AI can launch large-scale and more complex attacks.
- Attackers can use AI to automate phishing and malware attacks.
- Generative AI can impersonate digital signatures and voices.
AI and Gaming Experiences
The gaming industry is feeling the impact of the AI revolution. Generative AI is already changing how games are designed and developed. Analysts in this sector predict AI in video game development will become a reality in the next 5 to 10 years. Many think this technology will enhance the general standard of video games and expedite new releases to the market.
Here is an example: generative AI will be pivotal in generating non-playable characters (NPC) and video game storylines. This technology can create limitless video game stories personalised for specific players. NetEase, a China-based game development company, is already using AI to streamline its game development processes. This company uses AI in planning, designing, storytelling, coding, and other processes.
Staying with personalised experiences, AI has become widespread in the online gambling sector worldwide. Operators know players want custom experiences to enjoy more fun and convenient gaming sessions. Today, casinos online with personalised game selections are commonplace. These platforms use AI systems to analyse your gaming patterns and behaviours before recommending matching game titles. This reduces the stress of searching for games in the extensive library whenever you want to play.
Catalyzing Communications Change
The transformative impact of AI in the communications industry is evident. This technology is revolutionising traditional communications practices and unlocking new possibilities. AI-powered chatbots and virtual assistants are good examples. These tools use AI’s capabilities to provide instant engagement with users. They simulate human-like conversations while delivering relevant information and guiding users.
AI can also play a central role in optimising the performance, reliability, and efficiency of a telecommunication network. It achieves this through predictive forecasting and live data analysis to help telecommunications experts streamline processes. AI-powered telecommunications systems can mitigate congestion and downtime efficiently, adding to the brand’s competitive advantage.
Most importantly, AI in the communication sector can streamline routine tasks. Its ability to quickly analyse and optimise workflows can help communication departments automate repetitive tasks that traditionally need human intervention. AI can automate routine activities like content creation, data analysis, and customer interactions. The idea is to liberate communication experts to perform other duties.
Rise of AI-Powered Phones
Mobile phone manufacturers have always embraced and introduced new technologies quickly. Smartphone technologies like voice assistants, 2FA, and payment apps have significantly impacted how we interact with these devices. And with AI becoming more advanced, mobile phones can only get more secure and intelligent.
Modern AI-powered smartphones can analyse user behaviours, patterns, and preferences to provide a more personalised experience. These phones use AI to learn your daily routines and anticipate your unique needs. This includes suggesting routes, recommending playlists, and providing reminders. They also offer real-time language translation and image processing.
Developers also use AI to analyse and provide optimised camera performance, battery usage, and enhanced security functions. With AI, your phone can intelligently know power-draining apps and activities, helping you to manage power consumption more effectively. It can also auto-adjust camera settings and lighting conditions for better-looking pictures, even in challenging environments.
Conclusion
It’s evident that AI can accelerate the growth of other technologies. The key takeaway is to ensure that AI perfectly merges with other groundbreaking technologies to provide manageable and secure experiences. As mentioned earlier, AI in the wrong hands can negatively impact other tech sectors. Therefore, embracing AI solutions is vital, especially in industries like cybersecurity and communication.