The Future of AI: From Automation to Alliance

The Future of AI: From Automation to Alliance

In a recent interview at BIT VALLEY 2019, Takuya Oikawa discussed the trials and errors of a product manager. According to Oikawa, the key conditions for people to follow someone are passion, logic, and trust. These qualities are essential for effective leadership in any field.

One area where these qualities are increasingly important is in the evolution of AI. What once started as a data science experiment has now transformed into a powerful tool for businesses. AI is moving through a maturity curve, progressing from automation to autonomy, and ultimately to alliance.

The first generation of AI primarily focused on automation and digitization. It helped businesses streamline processes and make data-driven decisions. However, it still relied heavily on human intervention for critical actions.

The second generation of AI is where we currently stand. It is characterized by autonomy, where AI systems can make limited decisions and take actions without constant human oversight. This level of autonomy has revolutionized industries such as manufacturing and logistics, where AI-powered machines can operate independently.

But the true potential of AI lies in the third generation, where it becomes a true partner to humans in business. This level of AI is not only autonomous but also possesses complete ownership of business functions. It works alongside humans in a collaborative environment, taking over key human-centric tasks and conducting business with us.

To achieve this vision of AI, there are three critical theaters where future AI must expand:

1. Engineering: Scaling mathematics through constant innovation is essential. Techniques like cloud-native designs, hyper-connectivity, and quantum technology will push the boundaries of AI. Additionally, community-based coding, also known as open source, allows for collaboration and the development of the best possible code.

2. Business: We must reimagine our businesses to leverage AI and create disruptive models. The concept of a fractured market, where a business operates in multiple industries, can be realized through the power of AI. It has the potential to eliminate human business functions and open up new opportunities.

3. Wisdom: AI is only as good as what it is taught. We need to focus on teaching AI appropriately to amplify good learnings. Areas of amplification include labeling, ethics, and linguistics. Additionally, responsible development and AI self-governance are necessary to prevent malicious use of this technology.

In the future, the Metaverse will play a significant role in the third generation of AI. It will serve as a key venue for communication and interaction with autonomous AI systems. The ability to effectively understand and interpret market chatter will be essential in areas like trading, where intuition and communication are crucial.

In conclusion, the future of AI is promising. From automation to autonomy, and eventually alliance, AI will continue to transform the way we do business. By focusing on engineering, reimagining business models, and nurturing wisdom, we can unlock the full potential of AI. With responsible development and self-governance, we can ensure that AI is used for positive purposes and benefits society as a whole.