While useful for simple sales and customer service-related tasks, chatbots often fail to offer crucial granular information or recognize specialized terms. This has limited chatbot…
Efficiency
Advancements in cameras used for computer vision, sensors to detect motion, pressure, sound, and atmospheric conditions, as well as ubiquitous high speed data networks have come together to deliver vast amounts of data, the Internet of Things, and Technologie 4.0. When applied to this data, machine learning algorithms can improve efficiency across industries. Process automation, real time detection, document processing, and predictive maintenance are a few of the areas where Aicadium customers are benefiting.
Process Automation
AI is supercharging process automation through the application of technologies such as computer vision and NLP to manage, automate, and integrate processes. It can be applied across almost any industry. Some typical use cases include quality inspection, predictive maintenance, rural surveillance, agriculture maintenance, trade execution, and claims processing.
Document Processing
Natural Language Processing (NLP) has the potential to free up significant middle and back office resources for numerous industries to fundamentally redesign the structure and provision of services in light of disruptive innovations. Document processing is typically a 100% manual process however data extraction using NLP is transforming this into a largely automated operation. By identifying fields from contracts or forms across multiple different formats, AI engines can ‘understand’ the contents of documents and accurately extract information and insights, as well as categorise and organise documents. The main benefit is huge increases in labour efficiency – freeing up employee time for higher order tasks and being more responsive to clients.
Real Time Detection
Many organisations, particularly within manufacturing or agriculture, rely on near real-time monitoring in order to ensure operations run smoothly and efficiently. Being able to detect deviations in standard operating procedures is critical and AI is providing organisations a way for data pipelines to ingest machine process data for near real-time intelligence.
Predictive Maintenance
Having strong predictive maintenance tools in place enables businesses to anticipate when and where potential breakdowns in service can occur and move to respond to them in order to prevent potential interruptions in services. AI provides the ability to use volumes of data to anticipate, detect, and address potential issues before they lead to breakdowns in operations or services. AI-powered dashboards can display information, predictions, and parameter recommendations for operators. The solution relies on predictive maintenance models and defect detection models which enable operators to understand what needs to be addressed at the right time.
Yield Optimisation
Yield Optimization or yield management has traditionally been defined as a group of strategies and tactics used to maximize the quality, and therefore potential monetisation, of goods or services produced. In the manufacturing setting, this involves establishing quality standards of products coming off a production line and making sure the output adheres to those standards. In marketing, it involves maximizing the number of leads that convert to customers. Aicadium applies machine learning to yield optimization to understand all relevant factors, enable the highest yields, and increase our customers’ bottom lines.
Case Studies
Bank guarantee documents undergo 100% manual processing by the wholesale banking arm of a major regional bank. The bank wanted to harness AI to automate…
A major regional bank wanted to leverage technology to extract relevant information from the annual reports submitted to them by the stock exchanges. The process…
A government food agency wanted to provide a way to detect rotifer for the fish farming community. Rotifers are small zooplankton used in aquaculture as…
A major zoological park wanted to revolutionise the way they provided care for their elephants, while still being able to increase productivity and coverage as…
One of the largest cybersecurity services players in Asia sought to use machine learning to enable behaviour-based detection of threats, allowing the team to preemptively…