Augmented intelligence uses machines to empower humans to work better and smarter. It is also referred to as intelligence amplification (IA), and it’s not quite the same as artificial intelligence. While artificial intelligence enables machines to mimic human behavior, augmented intelligence uses those same machines but with a different perspective and goal in mind. Augmented intelligence brings machines and humans together to enhance business growth.
Data science and augmented intelligence.
One way to look at augmented intelligence is that it assists data scientists. With the existence of big data–large data sets that can reveal patterns and trends related to human behavior–data scientists need help synthesizing and analyzing the data to infer actionable insights. With the support of augmented intelligence, data scientists can mine through large quantities of data, and IA’s deep learning capabilities can pull out helpful patterns that can offer insight into customer preferences and predictive analytics. Thus, augmented intelligence not only accelerates data processing, but it also pinpoints essential patterns and trends that would otherwise be lost to the human eye. That’s what makes it crucial to data analytics and predictive data.
Augmented intelligence and augmented analytics.
Augmented analytics uses artificial intelligence and machine learning to enhance analytics across the phases of the data lifecycle. This includes how data is prepared and analyzed and what insights can be inferred from the data to help inform business decision-making and enhance business outcomes.
Augmented intelligence vs. artificial intelligence.
Augmented intelligence is designed to enhance how humans work, not to replace them. While artificial intelligence is seen as an autonomous system, augmented intelligence employs machine learning and deep learning to equip humans with the insights they need to take action. In other words, augmented intelligence serves to deliver data to users in an understandable way so they can decide how they want to move forward.
For example, a video streaming service can make suggested recommendations, but the end-user gets to decide how they would like to respond. Conversely, artificial intelligence like spam filters and plagiarism detection can operate on their own without any human assistance.
Why is augmented intelligence important?
Augmented intelligence is a way to leverage human intelligence with the support of machines to help minimize human bias and error and pick up on patterns and trends. And while augmented intelligence is a way to create better insights to inform better decision making, it’s a process that still needs human oversight to connect with big-picture business objectives.
And with data scientists working hand-in-hand with augmented intelligence, there is a greater likelihood for improvements in data science.
What can you do with augmented intelligence?
Augmented intelligence is a way to improve decision-making without taking humans out of the equation. IA is able to assist data scientists in analyzing large quantities of data, helping to remove human bias and error to produce actionable insights that can inform decision-making. Together, augmented intelligence and human intelligence produce highly accurate data that can lead to industry improvements, innovation, and better business outcomes.
Augmented intelligence can find data points from different sources in real-time, automate and speed up manual reporting processes, and help businesses act quickly on insights. This also helps to add more efficiencies to processes along the way and increases the potential for a more data-driven culture.
How do businesses use augmented intelligence?
Since augmented intelligence learns more, adapts quickly, and incrementally improves over time, more businesses are using IA to transform customer interactions and so much more.
Financial services can offer more personalized services based on customer goals, capacity, and risk.
Healthcare can improve the quality of patient care, reduce the probable occurrence of medical errors, speed up billing and claims processes, and improve treatment options.
Retail can leverage customers’ preferred shopping patterns and behaviors to increase customer engagement and conversion.
Manufacturing can increase efficiency and maintenance by accelerating the design process.
What are some best practices for augmented intelligence?
When it comes to best practices for augmented intelligence, it’s important to start small, build trust, and consider how to employ data insights on an organizational level.
One way you can start small is by choosing one business objective that you would like to achieve based on what can be inferred from actionable data insights. Another best practice to employ is to create transparency by involving more business users in the process. Additionally, if you want to democratize data and create a more data-driven culture, it’s crucial to look at big-picture objectives and business goals.
Domo believes that you can unlock the value of data by putting it in the hands of everyone across an organization, and it’s why Domo has enhanced its business intelligence platform with new augmented capabilities in the Domo Business Cloud. These new capabilities will help augment how data is connected and transformed, visualized and analyzed, and extended across organizations through data, apps, and workflows.
By augmenting how data is accessed and leveraged, businesses can accelerate the speed at which they innovate. These new capabilities include ubiquitous machine learning and data science capabilities as well as data management tools to help both technical and non-technical users move from data to insight to model to action faster and in a single workflow. This new enhancement serves to help anyone leverage large amounts of data easily so they can innovate and drive business forward.
What does the future look like for augmented intelligence?
It’s not enough to just have industry expertise anymore. You also need to be data-driven, and that’s where augmented intelligence can help support businesses as they look more towards growth and the future. Augmented intelligence supports business decision-making by pairing human instinct and oversight with smart algorithms and predictive data insights.
While artificial intelligence is also making advancements, there will always be a need for human capabilities. Augmented intelligence allows for that by keeping humans in the equation instead of functioning completely autonomously. With the support of IA, businesses can innovate, grow, and scale at speed.
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