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Writing Team : Sep 29, 2023 9:07:32 PM
Intelligence Augmentation (IA) blends the computational might of computers with the discernment of human Intelligence.
Sounds promising, right?
"Intelligence Augmentation" may seem a tad futuristic, especially when considering other associated terms and acronyms like AI, cybernetics, NLP (Natural Language Processing), and machine learning. However, at its core, the concept is relatively straightforward.
Let's delve into Intelligence Augmentation and explore what it means in your personal and professional realms.
Intelligence Augmentation is software designed to enhance individuals' decision-making abilities and learning capacity. It extends the capabilities of Artificial Intelligence by analyzing vast datasets and presenting synthesized insights to humans, enabling them to make informed decisions.
The computing pioneer Douglas Engelbart first defined this concept in his groundbreaking 1962 report, "Augmenting Human Intellect: A Conceptual Framework." Engelbart, renowned for inventing the computer mouse, set out to harness collective human intellect for the betterment of the world.
Engelbart's report stated, "By 'augmenting human intellect,' we mean increasing the capability of a person to approach complex problems, to comprehend them in a way that meets their specific needs, and to derive solutions. This augmentation includes quicker comprehension, enhanced comprehension, the ability to gain useful comprehension in previously complex situations, faster problem-solving, improved solutions, and the potential to solve problems previously deemed unsolvable."
Intelligence Augmentation also goes by names like Augmented Intelligence, intelligence amplification, cognitive augmentation, decision support, machine-augmented Intelligence, and enhanced Intelligence. It's easy to confuse Augmented Intelligence, or Intelligence Augmentation, with Artificial Intelligence, especially when both fall under the AI umbrella.
Artificial Intelligence is designed to operate without human intervention. It collects and analyzes data, makes decisions autonomously, and eliminates the need for human involvement.
AI relies on algorithms and instructions for completing tasks to mimic human thought processes. It excels at processing massive datasets at speeds far beyond human capacity
AI performs numerous tasks more efficiently than humans, from powering Google's search engine to enabling Spotify and Netflix to offer personalized music and movie recommendations and even driving self-driving cars like Tesla's.
However, Intelligence Augmentation can complement AI, mainly when human Intelligence and creativity play pivotal roles in specific processes. For example, content performance platform Rellify employs a combination of Artificial Intelligence and Intelligence Augmentation to assist clients in reaching potential customers by producing relevant, high-ranking content in search engines.
Augmented Intelligence enhances Artificial Intelligence by merging AI-generated results and presenting them in a format that facilitates informed human decision-making. Augmented Intelligence and AI employ machine learning, natural language processing, pattern recognition, and spatial navigation for data analysis.
Augmented Intelligence brings a human effect into the equation -- something AI lacks. Augmented Intelligence is characterized by its capacity for self-learning and human feedback integration. It can compile data from disparate and incompatible sources and synthesize it in a format humans can efficiently utilize.
For instance, Palantir, a company, uses Augmented Intelligence to support the Scuderia Ferrari Formula One racing team. The team collects vast amounts of data from cars and other sources. Palantir developed a digital race car twin that integrates this data in a way that Scuderia Ferrari's engineers can utilize effectively.
The platform captures the outcomes of engineers' decisions centrally, creating a learning loop that enhances decision quality over time.
Intelligence Augmentation has found applications in various sectors.
In healthcare, where life-and-death decisions cannot rely solely on machines, professionals value Intelligence Augmentation. Researchers use IA to analyze the 3D structure of cancer cells and identify genetic markers associated with tumors.
Banks employ Intelligence Augmentation to navigate the ever-expanding landscape of regulations. It aids employees in areas like consumer protection, ensuring compliance with reporting requirements, and minimizing the risk of fines and penalties. IBM's systems review and ingest new regulations as they emerge, processing 800 million pages of text per second.
Companies in the manufacturing sector leverage Intelligence Augmentation to monitor their systems. IA can predict maintenance needs, ensuring optimal equipment performance and efficiency.
Intelligence Augmentation plays a pivotal role in content marketing. Companies like Rellify, based in Virginia Beach and Cologne, Germany, employ IA to power their content performance platform.
IA tools help determine user intent in search engine queries, enabling the platform to guide users in creating relevant content that ranks well in search engines.
Jürgen Kranz, rellify's Chief Technology Officer, explains the approach: "We have a market-first IA (Intelligence Augmentation) content creation editor to help content producers and writers create relevant content. There are so many rules and aspects to consider; no writer, no matter how experienced, could consider them all."
IA-based tools can consider these factors, monitor content performance, learn, and improve over time.
"By 2030, decision support/augmentation will surpass all other types of AI initiatives to account for 44% of the global AI-derived business value," Gartner predicts.
As the world increasingly adopts Intelligence Augmentation, staying ahead of the curve could supercharge your business.
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