Intelligence Augmentation combines the processing power of computers and the insight of human intelligence. Sound valuable? According to the global research firm Gartner, Intelligence Augmentation is expected to generate $2.9 trillion worth of business value and 6.2 billion hours of productivity around the world this year.
Intelligence Augmentation might sound a little otherworldly, especially when you toss in other terms and acronyms associated with it, like AI, cybernetics, NLP, and machine learning. The concept, though, is simple.
Here’s a look at Intelligence Augmentation and what the concept could mean in your personal and professional worlds.
What is Intelligence Augmentation?
Intelligence Augmentation is software that helps human beings enhance their decision-making skills and learning ability. It extends the power of Artificial Intelligence to analyze massive amounts of data by delivering a synthesis of that data to humans, who then use the information to make decisions.
Computer pioneer Douglas Engelbart clearly defined the concept for the first time in his 1962 report “Augmenting Human Intellect: A Conceptual Framework.”
Engelbart, whose many contributions to the technology world included inventing the computer mouse, identified one of his life goals as making the world a better place by harnessing the collective human intellect.
He began his paper by stating: “By ‘augmenting human intellect,’ we mean increasing the capability of a man to approach a complex problem situation, to gain comprehension to suit his particular needs, and to derive solutions to problems. Increased capability in this respect is taken to mean a mixture of the following: more-rapid comprehension, better comprehension, the possibility of gaining a useful degree of comprehension in a situation that previously was too complex, speedier solutions, better solutions, and the possibility of finding solutions to problems that before seemed insoluble.”
Intelligence Augmentation is also called Augmented Intelligence, intelligence amplification, cognitive augmentation, decision support, machine augmented intelligence, and enhanced intelligence. It’s easy to mix up Augmented Intelligence, or Intelligence Augmentation, with Artificial Intelligence, especially when people use the acronym AI, which could apply to either one.
Artificial Intelligence vs. Intelligence Augmentation
Programmers design Artificial Intelligence work without human intervention. It amasses data, analyzes it, and makes decisions, eliminating the need for humans. It uses algorithms, which are simply a set of instructions for completing a task, to mimic the way people think. And it can mine huge amounts of data at speeds far beyond human capability and comprehension.
Artificial Intelligence can do many tasks better than people:
- Google uses it to power its search engine.
- Spotify and Netflix use it to make relevant recommendations for music and movies.
- Tesla uses it in its self-driving cars.
But IA can improve upon AI, especially when human intelligence and human creativity are involved in certain processes.
For example, the content performance platform rellify uses Artificial Intelligence plus Intelligence Augmentation to help its clients reach potential customers by producing relevant content that naturally ranks well on search engines.
How does Augmented Intelligence work?
Augmented Intelligence enhances Artificial Intelligence by integrating its results and presenting them to people in a form that helps them make better decisions. Both can use machine learning, natural language processing, pattern recognition, spatial navigation, and other tools for analyzing data.
Augmented Intelligence brings human intuition and insight into the equation. Although Artificial Intelligence seems to improve daily, it still lacks that power.
One characteristic of Augmented Intelligence is the way it is driven by self-learning and by feedback by humans, compiles data from varied, incompatible sources, and synthesizes it in a way that people can use efficiently.
One company, Palantir, uses Augmented Intelligence to help the Scuderia Ferrari Formula One racing team take the checkered flag. The team captures massive amounts of data from the cars and other sources. So, Palantir built a digital race car twin that integrates the data in a way that the Scuderia Ferrari engineers can use.
Then, as a report from Palantir explains: “As engineers across functions make decisions, the platform captures the results of the decisions centrally. This creates a learning loop between the data, the decisions made by engineers, and the outcomes, so that subject matter experts can continuously improve the quality of their decisions over time.”
Intelligence Augmentation in different industries
Many industries are embracing Intelligence Augmentation
- In healthcare, the professionals cannot leave life-and-death decisions to the machines, and they value Intelligence Augmentation. At Northwestern University’s Institute for Augmented Intelligence in Medicine, a scientist used the technology to invent a way to analyze the 3D structure of cancer cells and identify genetic material that leads to tumors.
- In finance, banks use Intelligence Augmentation to track the never-ending growth of regulations. It helps employees as they navigate areas like consumer protection and reporting requirements and try to avoid fines and penalties. IBM says the systems “ingest new regulations as they are created, and review 800 million pages of text per second.”
- In manufacturing, companies use Intelligence Augmentation to monitor systems. Then, IA predicts when equipment needs maintenance – before it slows down, sustains damage, or otherwise hurts efficiency.
Intelligence Augmentation in content marketing
A company based in Virginia Beach and Cologne, Germany, rellify uses Intelligence Augmentation to drive its content performance platform. With IA tools, rellify determines search engine users’ intent. Then, the rellify platform helps users to develop relevant content that naturally ranks well in search engines.
Jürgen Kranz, rellify’s chief technology officer, explained the approach in a blog post:
The content performance platform uses ML (machine learning) and natural language processing (NLP) to train its models. The goal is to help customers understand the context of their content and see what is relevant.
“We have a market-first IA (Intelligence Augmentation) content creation editor … that will help content producers and writers to create relevant content,” he said. “There are so many rules and aspects to consider; no writer, no matter how experienced, could possibly consider them all.”
The company’s IA-based tools can consider all of those factors. After that, they monitor the content and its performance and learn and improve over continuous cycles.
“Bits and pieces of this holistic solution are available today, but not in a combined platform as with rellify. Integrating all these stages empowers data insights previously impossible to achieve that enable far better content in a more efficient process that will result in top-of-list rankings. Again, all in the interest of the user finding relevant content.”
Put Intelligent Augmentation to work for you
Gartner predicts that “by 2030, decision support/augmentation will surpass all other types of AI initiatives to account for 44% of the global AI-derived business value.”
To find out more about using the power of Intelligence Augmentation to reach potential customers, contact rellify.