Infor Augmented Intelligence Service powered by AWS
BROCHURE
Artificial intelligence and machine learning are within reach
Technological advances have continually touted the ability of computing power to enable organizational capacity to better understand and solve challenges, but also to predict and help prevent those challenges from even occurring. The promises of artificial intelligence (AI) and especially machine learning (ML) have been promoted as a means of deriving new value from existing assets, provide better insights for strategic decision making, and bring more resilience and speed to supply chains.
There are now many examples demonstrating how AI/ML have delivered on their promises and occasionally there will be slight elevations in adoption. However, adoption of these solutions is still far from being implemented widely.1 One reason is that many organizations believe advanced intelligence capabilities are out of reach in terms of cost and complexity.
Infor Augmented Intelligence Service (AIS) is an innovative approach to data science as a service (DSaaS) which looks to provide an all-inclusive model to support organizations looking to accelerate their digital transformation programs from ideation to value realization and continuous evolution.
Essentially, the service provides forward-looking recommendations that enable you to gain more value from your data to strengthen business decisions. Augmented intelligence, sometimes called intelligence amplification, is a new way of approaching data and analytics in the organization, and it can help you overcome seemingly insurmountable challenges.
The future of decision making
What happens when you combine human knowledge with artificial intelligence, data, and analytics? Augmented intelligence is the result.2
Augmented intelligence and deep learning (the imitation of the way humans gain certain types of knowledge found in AI and ML3) are applicable across industries that prioritize the identification of predictive behaviors and patterns through data mining. One example of augmented intelligence is online businesses predicting customer preferences by applying data analytics.4 Another more obvious example would be if you have ever used Siri or Alexa. If so, then you have engaged with augmented intelligence.
Gartner defines augmented intelligence in this way: “Augmented intelligence is a design pattern for a humancentered partnership model of people and artificial intelligence (AI) working together to enhance cognitive performance, including learning, decision making, and new experiences.”5
“Partnership” could be the key word in Gartner’s definition. Most business perspectives have moved well beyond the sci-fi and doomsday view that robots will indeed take over civilization as a results of AI’s continuing advancement. In fact, augment means “to support” and that is the role of augmented intelligence. Where you have human intelligence making decisions alone you also have AI which can mimic human tasks and thoughts.
Then, there is machine learning, a subset of AI, which can identify patterns and apply data to adjust and improve. Finally, there is augmented intelligence which produces data-induced insights that enhance decision making to support the human decision maker—so a partnership.
While it is expected that machines with AI will reduce 85 million jobs by 2025, it should quickly be noted that in the same timeframe AI will create 97 million new jobs, significantly more than it replaces.6
Describing the co-dependent relationship between humans and augmented intelligence, Domo.com says, “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.”7
In 2022, the expected market growth for augmented intelligence services and software is estimated to reach US $16.05 billion, up from $14.28 billion in 2021. By 2027, this figure is forecasted to be $29.19 billion.8 Yet, another report forecasts that augmented intelligence could land even higher at over $54 billion by 2027.9
The new landscape of intelligent decision making
Human
- Common sense, imagination
- Learns from experience life
- Autonomous
Artificial intelligence
- Speed and focus
- Learns from data
- Depends on human input
Augmented Intelligence
- Suggests decisions
- Works alongside your workforce
- Automates mundane tasks
The business benefits that matter
The business application of augmented intelligence transforms the ability of your organization to be nimble and ambitious in supporting your growth strategy so you can:
- Realize business objectives based on data insights. Understanding causal attributes that drive your business success, such as seasonal impacts or product characteristics, is essential to improve supply chain visibility and allows for better future planning.
- Improve and automate decision making without requiring deep experience. The ability to understand and monitor production quality and recommend actions helps manufactures to improve customer service levels and reduce waste. Having recommendations on what, when, and why are accelerators toward improved productivity.
- React quickly to new opportunities. Impact your pricing strategies based on market conditions and provide improved customer experience by strategic and helpful recommendations. Reduce burdensome process in your business. Improve financial forecasting and planning for your company and use anomaly detection to identify and automate operations. Leverage ML to help track deviations in plans without requiring large back-office structures.
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Augmented intelligence brings machines and humans together to enhance business growth.