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Artificial Intelligence and Machine Learning

Augment the potential of your people, and drive the productivity and profitability of your business.

We build smart machines that build capability, increase capacity, and naturally enhance the intelligence of your operations

At Tecala we use Artificial Intelligence (AI) and Machine Learning (ML) as two complementary services. With AI automating your repetitive and time consuming tasks, ML automatically learns from these tasks to improve operations, without the need for human interaction.

Together they deliver the human intelligence and discernment required to perform complex automated actions, classifications, and predictions, and manage ambiguous situations, so your business can run smoothly and very effectively.

Our Artificial Intelligence and Machine Learning services are delivered as part of our Intelligent Automation as a Service (IAaaS) – a fully managed automation solution that’s delivered through an incremental, consumption-based model.

Developed specially for the mid-market, this model allows you to align your automation projects with your overall strategic goals, so each project we deliver can be attached to a specific outcome and deliver a pre-defined ROI.

When combined with our Robotic Process Automation and Backend Integration and Automation Services, your business has access to an end-to-end automation solution that will scale, grow, and respond to the rhythm of your business operations.

Tecala’s Artificial Intelligence and Machine Learning – customised services to deliver the outcomes you need

Our team of automation specialists work alongside Tecala’s Consultancy and Advisory team and Cloud Services team. Having local teams of experts on hand allows you to bring the right people in when you need them, augmenting the capability and capacity of your existing teams.

Artificial Intelligence Readiness Assessment

Let’s kick off your AI and ML journey with an Artificial Intelligence Readiness Assessment. We’ll assess the actions, classifications, and predictions that are suitable for AI and ML.

Design, rebuild and deploy automation models

Once your existing capabilities and future needs are assessed, we’ll be ready to implement your next steps.

Tecala’s AI and ML specialists can help you create new custom models to suit your processes and operations. We can also update and retrain pre-built models, and deploy rebuilt models to production.

Advanced Analytics and Predictive Intelligence

With so much data flowing through your business, advanced analytics and predictive intelligence allow you to process big datasets, recognize patterns within them, recognise trends, predict outcomes, and then define probabilities.

Computer Vision and Natural Language Processing

Computer Vision and Natural Language Processing allow you to import unstructured data into systems for analysis and classify documents into types.

Document understanding allows you to analyse documents and extract insights for better decision making.

Form recognition allows you to process form-based documents and streamline the processing of form-based documents.

Once they’re imported the AI can extract meaning and sentiment from the data, and recognise objects, faces and anomalies.

Artificial Intelligence Readiness Assessment
Design, rebuild and deploy automation models
Advanced Analytics and Predictive Intelligence
Computer Vision and Natural Language Processing

BUSINESS OUTCOMES

Automation of your complex, high-volume, and repetitive tasks in the most cost-effective way

Our goal is to deliver the right integration and automation services to optimise your business processes so you can be productive and competitive. With AI and ML delivered as part of our IAaaS model, we can deliver performance efficiencies you can easily measure.

Automating mundane, repetitive, and tedious tasks not only provides efficiency and accuracy, it also enables your teams to focus on more valuable, profitable, and rewarding parts of their job.

At the same time, you’ll enable your teams to extract more accurate, valuable, and meaningful insights from data sets that would previously not have been visible. This is giving organisations a huge competitive advantage.

Import unstructured data into systems for analysis

Automating repetitive and time-consuming tasks frees up your people to focus on the innovative and important projects that deliver value to your business.

Classify documents into types to kick off workflows

In many professional services businesses, thousands of documents come into the business each day. Automating the classification of these documents not only speeds up operations but also minimises errors and anomalies.  

Discover actionable insights

Because both AI and ML are tools to deliver deeper meaning, relevance and sentiment from huge data flows, your teams can discover actionable insights from data much faster and with more confidence.  

Improve your business performance

AI and ML are both ‘unattended’ tasks that can operate 24×7 in the background without interruption or breaks. There is no downtime, so your productivity levels will increase in direct relation to your investments.  

Augments the capabilities of everyone in your organisation

AI and ML aren’t about replacing people. They’re about augmenting the potential of your teams by increasing their capability and capacity. Both AI and ML reduce the time taken to perform everyday business tasks. This enables your team to execute more tasks while reducing the costs of execution.  

Ensure simplicity and efficacy

Computer Vision and Natural Language Processing are game-changers because they automate the process of recognising objects, faces, and anomalies. AI and ML add clarity, simplicity, and confidence to these processes, freeing up your team to deliver genuine value elsewhere in the business.   

Optimise your service to maximise ROIs

Because our AI and ML services are delivered as part of our Intelligent Automation as a Service – and incremental, consumption-based model that roles out projects in rhythm to your business – you’re assured a predictable, regular, and measurable ROI on your projects.

Establish an intelligent business practice in your organisation.

Book your Automation Maturity Readiness Assessment

Business process automation is a long-term strategy. In a short 20-minute discussion, we’ll assess where you are on your journey and identify the key areas for automation in your business that will streamline processes, drive efficiencies and improve profitability.

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Frequently Asked Questions

What is Artificial Intelligence?

  1. For generations, many tasks have had to be performed by people because they require human intelligence or discernment. Many of these are routine, repetitive or very laborious.  
  1. Artificial intelligence (AI) is the ability of a computer, or a robot controlled by a computer, to complete these tasks. This simple action frees your people up to focus on more rewarding, enjoyable and valuable tasks.    

What is Machine Learning?  

  1. Machine learning is a subset of Artificial Intelligence. It automates predictive modelling by generating training algorithms to look for patterns and behaviours in data without explicitly being told what to look for.  
  1. While AI enables a machine to simulate human behaviour, ML enables to the machine to automatically learn from past data without the need for a human to reprogram it.  

What is an example of AI and ML in business?

  1. One of the most repetitive, time-consuming, and laborious tasks in any financial or professional services business is the preparation of documents and images for digitisation.  
  1. Using Computer Vision and Natural Language Processing (both types of Artificial Intelligence and introduced above) organisations can import unstructured data into systems for analysis and then classify these documents into types.  
  1. Once they’re imported the AI can extract meaning and sentiment from the data, and recognise objects, faces and anomalies. This enables people to discover actionable insights from the data to facilitate faster and smarter decision making. 
  1. ML then automatically learns from past data and actions to improve the effectiveness of the operation. 

What is an example of AI and ML in everyday life?

  1. Every time you buy something online and the website offers you additional things that might be relevant or it says: “People who search for this product also buy or search for these products” – that’s AI and ML in action.  
  1. Similarly, when Netflix recommends a movie or when Facebook selects a news story or post for you, that’s being driven by machine learning.   

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