Choose a trusted and knowledgeable partner in Artificial Intelligence and Automation.

Artificial Intelligence (AI) and Automation

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.

The term AI is often used as an umbrella term for machines that are capable of perception, logic, reasoning, and learning.

Another useful way to think about AI is in terms of a spectrum from automation (rules-based) to intelligence (learning systems) applied to various problems or use cases.

Machines are good at repeating processes and producing predictable outcomes.

What machine learning provides is the identification of patterns and anomalies; and then scaling, repeating and producing consistent results.

AI enables optimisation and intelligent automation to augment human ability. Systems can now be built that perform functions way beyond the limits of current human ability.

Why Choose Artificial Intelligence?

Derive more value from your data

Make better business decisions

Enable new business models, products and services

Reduce risk and cost

Increase sales and revenue

Discover and act on insights

Improve customer and employee experience

Our AI and Automation offerings

  • AI Readiness Assessment, AI and Data strategy
  • Robotic Process Automation (RPA)
  • Knowledge Base for workforce automation and front-office process compliance
  • Text-to-Speech in South African Languages
  • Chatbots and Virtual Assistants
  • Customer Specific AI and Advanced Analytics Solution Development.

AI solutions that can be implemented include:

Customer targeting

(behaviour, risk profile, etc.)

Process optimisation

(productivity, accuracy, speed)

Trends, predictions and recommendations

(churn, fraud)

Intelligent Product Quality Assessment

Our Capabilities

We have a strong capability in Artificial Intelligence and Automation and apply these capabilities to mainstreaming AI, strategy and solution development and integration.

Our capabilities include:

  • AI, Data Science, Advanced Analytics, Automation Robotics
  • Pattern recognition, anomaly detection, predictive analytics, object classification
  • Machine learning, deep learning, neural networks
  • Broad & deep understanding of techniques and systems in the AI & AA space
  • Data architectures, data management, data engineering, visualisation
  • Systems architectures
  • Road-mapping and strategy development
  • Following an agile approach and use appropriate methodologies such as Design Thinking

Our Guiding Principles

  • Ethical application of Artificial Intelligence
  • We focus on complex problems that are not readily solved with off-the-shelf systems
  • We form part of an eco-system of Altron and Partner capabilities that enables provision of end-to-end offerings
  • We strive to be platform and vendor agnostic

AI Benefits

By combining process automation, machine learning and natural language processing to routine activities it mimics, and augments tasks performed by humans and over time it learns to do them better.

This drastically improves efficiency and performance, reduce operational risk and frees time of humans to focus on higher value activities.

User demand, supplier orders, and inventory levels are all improved using machine learning and deep learning systems. Demand is more accurately predicted while reinforcement learning can act on these predictions.

This improves inventory teams’ efficiency resulting in cost savings in terms of unnecessary stock to be stored and reduced waste due to stock expiration.

Mobile networks are becoming ever more complex, subscriber demands are increasing (reliability, coverage, bandwidth, security, etc…) and immediate action is often required.

Deep reinforcement learning AI on a combination of traffic, network and customer data, achieves a greater balance between network economics, performance, and end-user experience.

When machinery in a production environment fails it results in revenue loss and a reduction in productivity.

Machine learning predicts the failure of machinery in a manufacturing process and/or the final product before it happens. This results in increased productivity reduced downtime and increased after-sales services.

Quality and yield are major drivers in manufacturing.

Machine learning identifies and predicts defects and contributing factors across all processing stages of the factory. The identification of features to address is used to improve the overall quality, reduce waste, and optimize yield.

Organisations need to be able to uniquely identify the same entity (e.g. a person) over multiple internal and external systems to create a single view of a customer.

Machine learning augments the identification of a single entity (e.g. a person) over multiple, heterogeneous information sources and systems. This is applied towards improved service delivery, increased sales and personalisation.

Why choose Altron Systems Integration?

  • Trusted and knowledgeable advisor on AI and AA working towards mainstreaming AI
  • We help our clients reduce the risk of adopting AI through concrete showcases and a measured roadmap to enterprise implementation
  • Ability to develop robust and scalable solutions from concept to integrated solution
  • The aim is to integrate AI and continuously improve our clients’ business
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