Augmented intelligence is the combination of data, analytics, and artificial intelligence (AI) with human judgment. The analytical power and speed of AI take over most of the data processing. With this approach to AI-powered analytics, Augmented intelligence guides human employees to make more informed and smart decisions at speed.
Augmented intelligence can transform decision-making, which is why it has captured the attention of business leaders across a variety of industries. To be successful, enterprises must develop partnerships that combine both technology and industry expertise. In other words, create a culture of industry-led augmented intelligence. When augmented intelligence is industry-led – and tied closely to the unique needs and nuances of each business as a result – the opportunities are endless.
Unfortunately, few know how to connect people, processes, and technology to realize the benefits of Augmented intelligence at scale. Many aspire to reimagine the employee and customer experience with AI-powered analytics but rarely realize its full potential.
- Creating a recipe for success
If you think about analytics like cooking, then data and technology such as AI and machine learning are fine ingredients, but you need experienced chefs to make an outstanding dish. The chefs in this scenario are data scientists, data engineers, and people with industry expertise. Only with their guidance can you realize the power of augmented intelligence tailored to your industry.
Equally, you need to have the right models and processes in place. You can plug data into AI to create new analytical models and uncover predictive recommendations, but these models do not exist in a vacuum. They have inputs and outputs that impact the rest of your business, which you must closely study.
An industry-led approach to Augmented Intelligence is the most impactful. You also need to consider the paradigm shift in how humans and machines will work together. Only then will you find your recipe for success.
- Becoming data-driven
Many business leaders want their enterprise to be data-driven. They have mounds of data available but struggle to turn this data into actionable insights.
The beauty of augmented intelligence is that it blends the strengths of humans and machines. It augments human instinct with smart algorithms to deliver predictive insights at speed. These insights can help redesign business functions, spot customer behavior patterns, and unlock strategic opportunities leading to increased compliance, better experiences, and revenue growth.
Intended to enhance human cognitive abilities, augmented intelligence is different from automation. In the future, most processes will run without human intervention. However, there will always be instances that require human instinct.
For example, think about an aircraft autopilot. In modern aviation, the autopilot can operate independently, or coupled with a navigation system to fly pre-programmed – but you still need a pilot for takeoff and landing. In an ideal world, the autopilot system would incorporate human knowledge, experience, and intuition. The result would be human capabilities enhanced and extended through augmented intelligence.
To fully appreciate the potential of augmented intelligence in analytics, you must change your mindset. The goal is not to create a partially automated process. The goal is to create an entirely new process – in a world that is predominantly automated but designed to accommodate and enhance human expertise.
- Looking to the future
In modern businesses, almost all employees are knowledge workers. Yet many enterprises struggle to provide the right set of tools to support them. In the era of information overload, employees need and want to make fast, data-driven decisions.
Augmented intelligence can help by examining data to uncover patterns and correlations at scale. This scenario requires feedback loops to improve upon algorithms and make sure that when things don’t happen as expected, there are mechanisms in place for understanding why.
The future of augmented intelligence hinges on a transition into a new way of working and thinking. Blending data, analytics, and AI is a critical – and necessary – place to start, but there are limits to technology without talent. Success requires the right mix of human instinct with machine intelligence.
Consider these steps as you develop your Augmented Intelligence strategy:
- Develop and seek bilingual talent to harness a variety of expertise that underpins an industry-led approach
- Think through change management to ensure a smooth adoption of new and better ways of working
- Connect your technology and business strategy to ensure you have proper governance over your human and machine workforce
- Migrate data and analytics to the cloud for increased agility, flexibility, and scalability
- Develop white-box algorithms that can diagnose issues if things aren’t working as they should
