Artificial intelligence will be mainstream in business as soon as 2021.
Scroll through this experience to see how the future will unfold over the next three years and how you can best take advantage of new AI capabilities along the way.
Beyond Automation
Gathering data
The goal for many IT leaders this year is to create an infrastructure that supports fast, intelligent responses to changing conditions. This means redesigning systems to focus on real-time data management. It also includes moving critical business applications to the cloud, adding more layers of security and creating mobile endpoints to capture customer and device data from edge systems. Explore the latest trends in AI
The Smart Connected Factory
Increased digitization will continue boosting manufacturing efficiency, with AI-supported sensors and data analysis allowing production equipment to communicate across industrial design and service processes. AI facilitates predictive maintenance by anticipating and preventing outages, minimizing manufacturing downtime and reducing costs. As additive manufacturing ushers in the era of mass customization, AI will be harnessed to optimize plant floor processes and scale production.Learn more about AI in manufacturing
Road to efficiency
AI will help travel and transportation companies shift logistics into the background, allowing them to focus more on revenue generation and improving customer experiences. AI will monitor and predict fleet infrastructure failures, so transport businesses can spend less time and money on maintenance. It will also help reduce delays in both commercial cargo delivery and passenger flights by enabling companies to predict potentially disruptive events.Learn more about AI in transportation
Don't start with the technology—start with a vision for your company. Ask yourself: Who do you want be, what do you want to do and what will give you a competitive advantage? Then treat AI as a set of tools for helping you get there. Acquire the technology you need to execute on your vision, not the other way around.
Bots for Biz
Data gets more targeted
By next year, the influx of data from the internet of things will be even larger and more challenging. IT specialists will prioritize linking their companies’ external internet of things capabilities and mobile devices with internal business processes, such as having AI produce more targeted and relevant customer recommendations based on their real-world habits. A major concern will be ensuring that the data used to train AI remains bias-free.
The end of traffic jams
Autonomous vehicles will be more common, thanks to the increased sophistication of AI systems. The goal is for AI data analysis to reduce traffic congestion and map optimal routes, resulting in faster, more efficient ground transportation networks. Automakers will continue to develop and refine autonomous driving technology using the massive amounts of data accumulated through sensors embedded in vehicles. AI and machine learning can analyze this data to improve vehicle performance under a wide range of conditions.Learn more about AI in autonomous driving
Real-time risk reduction
The insurance industry will harness AI to detect anomalies faster, perform better risk assessment and lower the rate of fraud. AI could also transform the value proposition of insurance by allowing companies to gain better insights on their customers and provide customized offerings. They could also calculate in real time the risks customers face, enabling incentives for healthier behaviors and life styles.Learn more about AI in insurance
The insurance industry, particularly in the Americas, has grown through acquisition and system building. Because of that, insurers often have five, 10, or 15 redundant processes running. For the CIO of an insurance company, AI is the critical element in getting their shop in order to quickly deploy a digital framework, to embrace the cloud, to aggregate IoT data and to analyze it effectively.
The Smart Enterprise
Keeping data safe
In 2021, IT experts will be focused on virtualizing more core processes in the cloud to better enable AI-directed business ecosystems. They’ll prioritize security enhancements to protect sensitive data—both private health information and financial details—to meet compliance standards at lower cost. IT departments will also take advantage of new 5G networks, which reduce latency and enable more devices to share data. They’ll upgrade their IT infrastructure to ensure AI can better manage and protect the increased data flow between these devices.
Banking gets personal
AI will help financial institutions become more trustworthy by detecting and preventing fraud more quickly and spotting irregularities or security threats before they become a big problem. It will also streamline the personal banking experience by automating functions such as identity verification through voice recognition, eye prints and other biometric measures. AI will also help banks better understand customers’ life style changes, so they can optimize financial recommendations.Learn more about AI in banking
Emergence of the smart hospital
Health care providers will use AI to augment the doctor-patient relationship. Advanced analytics tools will improve image analysis in radiology and histology, and machine learning will help facilitate faster and more accurate diagnoses. AI could also improve care through automated interventions on patients who use health-monitoring wearables. Clinicians will still have a central role in the design, development and deployment of these technologies.Learn more about AI in health care
Bluetooth-enabled devices, U.S. Food and Drug Administration (FDA)-approved mobile apps, and telemedicine solutions — as well as patient-generated health data — allow for low-acuity care delivered at lower cost and lower risk. Home monitoring requires a strategy that leverages platforms with variable costs, such as cloud and a consumption-based model, and this will require a significant shift in how devices are procured, deployed and managed.
Digital Transformation
AI will be a critical part of the digital transformation journey.
Listen to a recent DXC webinar on how to develop a solid strategy for the future.