Are you planning to start a new career in Artificial Intelligence or Machine Learning? If so, this might be the right time to do so, as the tech world is standing at the precipice of more innovations in this field. These two emerging technologies have been gaining a lot of traction over the past few years, and it’s clear that they will continue to play a significant role in shaping our world.
You might not have realized how you are already guided by artificial Intelligence (AI). The recommended shows on Netflix, the suggested products on various merchant sites, and even those smart home devices run on AI. Soon it is predicted that restaurant waiters will be replaced by fully functioning humanoid robots. But we have a long road ahead of us before that happens.
Let us explore the imminent trends in AI or ML that might shape our lives in 2023.
Proliferate the use of AI and Machine Learning in organizations
AI and ML will become part and parcel of all industry operations because of their benefits in analytics, research and development, risk assessment, and many more. However, most organizations cannot fully utilize what Artificial Intelligence or Machine Learning offers. Many employees in these organizations either don’t understand these technologies or don’t trust them.
Organizations will be hiring people with knowledge and skills in AI and ML in the future. IT colleges are also offering special courses to train the future workforce. These individuals will advance the use of AI and ML in all operations of an organization.
Transparency
Users don’t like being maneuvered surreptitiously. Many have complained that AI has been tracking their searches and using their algorithm to control their online experience. It is true as AI is designed to craft a personalized experience based on a user’s past searches that tell their preferences.
As businesses plan to shift to AI models for customer acquisition, a greater need for transparency has become vital. Users and customers need to be explained how AI or ML works in simple language so that they can learn to trust the companies that rely on these technologies.
Increased emphasis on Data Security
Subsequently, customers are worried about their data and privacy. A large amount of user data is captured, stored, and analyzed by the AI and ML platforms to create a customized experience for the user. Organizations must protect archived data from fraudsters and hackers.
Also, as AI and ML technologies are becoming more rampant, the authorities need to draft data control and security regulations. These regulations will limit organizations from overreaching into a user’s private information. Hence, companies will also employ more data scientists and analysts to comply with these regulations.
The relationship between AI and IoT
The lines distinguishing AI from IoT are already blurring as new applications use them in confluence. AI technology is the source of information for such IoT apps as Siri and Alexa.
AI technology can collect relevant data about a user’s behavior patterns. The IoT app systems then source this data to become smarter and provide more customized experiences. IoT devices depend on AI algorithms to make predictions and decisions based on past data. Overall, the combination of AI and IoT has the potential to revolutionize many industries and transform the way we live and work.
Augmented Intelligence
Augmented Intelligence is an excellent blend of human capability and technological advancements. If implemented in the organization, it can run its operation more efficiently. In large enterprises, automation guided by AI-augmented Intelligence will help cut down on many of their manual workloads. Moreover, the quality of products will be maintained, and their employees’ performance will improve.
Sustainability
Sustainable development has become a focus in the last couple of years. Many experts have criticized this generation’s heavy indulgence in technology. It, in their view, leads to higher energy consumption, more waste, and more carbon footprint. Artificial Intelligence and Machine Learning can help manage this problem of sustainability.
AI technology is largely automated. Hence, it can optimize energy used in the resource supply chain. AI in a car’s GPS can tell you the best route to a destination, saving you fuel and time. More uses are to follow as these trends in AI and ML develop.
Conclusion
We won’t have to wait much longer to see the kind of impact these trends of AI and ML have on the world. If we can leverage these technologies for a better world, there’s no telling what we can achieve in the next 5 years. As for 2023, we can be optimistic that we are heading in the right direction. So buckle up and get ready for an exciting ride as we continue to push the boundaries of what’s possible with these cutting-edge technologies!
