Key Technologies for emerging intelligent companies

emerging intelligent companies

Each of these priorities will be enabled by emerging intelligent technologies.


Artificial Intelligence and Machine Learning
Machine learning enables algorithms to “learn” from existing data. Once the algorithm is trained, it can then predict future outcomes based on new data.


The Internet of Things and Industry 4.0
Although manufacturers have been using IoT for some time, now the entire value chain can be connected from design to production to supply chain. Data-driven insights of customer preferences can drive better designs, lower material costs, and reduce risk.


Data Platform to Manage Experience
Leaders are interlocking the operational performance data from companies’ business systems (what is happening) with the experience data coming from customers and employees (why it is happening) to get 360-degree views, actionable insights, and to deliver better experiences.


Advanced Analytics
Empowered users can get real-time visibility into their changing environment, simulate the impact of business decisions, mitigate risk, and achieve better customer outcomes.


The blockchain model of trust, through massively distributed digital consensus, could reshape supply chains and commerce across the digital economy.


Virtual and Augmented Reality
Already in use to help workers with difficult or infrequent maintenance activities, this will become even more critical to attract and retain new talent.


Conversational AI
Voice interfaces will be the go-to technology for the next generation of applications. This will allow greater simplicity, mobility, and efficiency while increasing worker productivity and reducing the need for training.


Robotic Process Automation
Robotic process automation streamlines repetitive, rule-based processes and tasks in an enterprise and reduces cost through the use of software robots by replicating specific tasks or keystrokes.


Some facts


Of new enterprise applications  will embed artificial intelligence by 2025


Of manufacturers will be utilizing blockchain and the IoT (driven by increased requirements for sustainability) to provide reliable provenance, leading to a 90% increase in audit efficiency by 2025.


Of G2000 manufacturers will address growing industry talent shortages by making significant investments in intelligent robotic process automation by 2023


Of manufacturers will leverage IoT-connected products and artificial intelligence tools to validate warranty claims preventing claims submitted in error by 80% by 2023


Of global manufacturers will realize a savings of 10% in operational expenses through process digital twins driven by IoT and machine learning routines that factor in unstructured data sets by 2023


Of all manufacturing supply chains will have invested in supply chain resiliency and artificial intelligence, resulting in productivity improvements of 15% by the end of 2021

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