Machine Learning

The practice of using algorithms to parse data, automatically learn from it, and then make a determination or prediction.
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Low Risk
High Disruption Potential
Game Changer

Machine learning (ML) is the study of computer algorithms that improve automatically through experience.It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so.Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.

Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimisation delivers methods, theory and application domains to the field of machine learning. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning. In its application across business problems, machine learning is also referred to as predictive analytics.

Trend Metrics

Trend Timeline (Last 4 weeks)

Based on web searches worldwide.

Disruption Breakdown

Success Factors

Cost Efficiency

Based on the cost of production and speciality needed in machinery and job roles.

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Ability to Mass Produce

Based on ease of access to all components and level of personalisation required.

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Speed to Produce

Time taken from manufacturing start point to consumer ready.

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Concept Realisation

Based on proven case studies of the technologies and concepts used.

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Consumer Needs Met

Based on consumer interest, needs and demand.

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Disruption Factors

Ecosystem Potential

Potential to integrate into existing consumer ecosystems (digital or lifestyle) and potential to create new ecosystems.

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Potential to Change Consumer Behavior

Potential to change behavior of the consumer if delivered successfully. Based on creating new interactivity, delivery systems, a unique service or through new knowledge delivered.

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Potential to Change Industry Behavior

Potential to change industry behavior if delivered successfully. Based on creating new technology, leveragable delivery systems or through new knowledge gained.

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Uniqueness of IP

Based on amount of existing consumer products and services leveraging this idea and examples of successful case studies.

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New Knowledge Gained

New technical, development, manufacturing or consumer knowledge gained if delivered successfully.

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Success Potential

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Disruption Potential

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Total Disruption Score

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If delivered successfully

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