5 min read
Intelligent impact: Why applied AI is different and what it means for everyone
The word ‘AI’ can mean many things to many people. AI can be the invisible tools that we use everyday, embedded in search engines or smart assistants. Or AI can be a world of future ideas and inventions such as autonomous vehicles and sentient machines.
What is applied AI?
Why many AI solutions are limited
- Exciting but yet to be realized
- AI is creating new and exciting services that fundamentally rethink certain areas of human life — like self-driving cars.
- Unfortunately, the self-driving vehicle category is difficult to scale for a variety of reasons, such as the practicalities of software training or the wider legal environment. For example, Europe lags in deploying autonomous vehicles due to regulatory hesitancy.
- Consequently, AI solutions in the ‘yet to be realized’ category are largely limited to proof of concept stages, meaning their applications won’t be available en masse anytime soon.
- Available today but underutilized
- AI applications like natural language processing are being widely deployed with great commercial success, and have become household tools for many millions of people. Amazon Alexa and Apple’s Siri are just two examples. However, their positive impact is limited, relative to self-driving cars.
- Rather than reshaping a key aspect of human life (like transport), for many people natural language processing software has been constrained to assisting in search queries and small day-to-day tasks like setting alarms.
- Beneficial but in the background
- AI can be applied to background operational tasks within business or government. These types of AI solutions can manipulate and analyze data at scale, helping to optimize new advertising campaigns or, most recently, model outcomes from the pandemic.
- Despite the potential benefits of greater applications, personal data usage is a growing concern for customers. These AI tools lack a strong foundation of consumer confidence which limits their wider rollout.
- Nice solution but no application
- DeepMind’s AlphaGo was the first computer program to win a game of Go against a professional human player and the reigning world champion at the time.
- The board game is profoundly complex, with 10 to the power of 170 possible board configurations (that’s more than the number of atoms in the known universe). Consequently, AlphaGo’s proficiency undeniably represents a significant advancement in AI technology, as the software is able to identify and deploy strategic game solutions amid billions and billions of options.
- However, AlphaGo doesn’t currently solve any real-world or enterprise problems, meaning its place in AI’s future is yet to be defined.
Why applied AI is different
- It is immediate.
- It creates a positive human impact.
- It is ready to scale.
- It is a trusted solution.
- It has commercial applications.
- is available today;
- has an obvious positive impact on people’s lives;
- is accurate and trusted; and
- solves systemic, real-world problems affecting millions of people.
Applied AI for growth and sustainability
Applied AI and AI for Good
“Applied AI is to be celebrated. Not feared or mistrusted. It can change the world in incredibly positive ways to benefit people, industry and the planet.” Razvan Ranca, CTO and Co-Founder of Tractable
How the numbers add up
Why applied AI is the future