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Data Mining

Unlock the hidden value in your data!​

Data mining is the process of finding patterns, relationships and anomalies within large data sets and using that to predict outcomes.​

Using a broad range of techniques such as NLP (Natural language processing), web scraping, sentiment analytics, and topic modelling you can use this information to increase revenues, reduce costs, improve customer relationships, build efficiency gains, mitigate risk and much more.​

We help you unlock the hidden value in your data! We can extract the “Actionable Information” from your data and other data sources available to us. The practical applications of Data Mining are as varied as they are creative…​

Click Here to talk more with us about how we can assist your business.

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Customised Engagement

Services

For businesses on the cusp of a step-change who are looking for technology efficiencies, Lynkz’s expertise in automation and scale-up can provide clarity on product roadmaps or process.

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Product

Whether it’s adding smarts to your existing hardware, purchasing ours, or developing custom solutions, Lynkz is across the entire supply chain from concept to production.

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People

Team augmentation across all levels of management, engineering and design is available through Lynkz. Engagement can be localised to ideation, development or entire projects.

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A.I.

Applied artificial intelligence to existing problems is the business advantage Lynkz delivers – true intelligence with real impact. Leverage our expertise to better define the problem.

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Support

We pride ourselves on our ability to support our customers and keep critical business applications operating to their full capacity.
Our skilled team of developers are based across Australia, have years of experience in the industry and are ready to help.

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A.I. Use Cases

Bee Hive Management
Bee Hive Management
Animal Health Management
Animal Health Management
Animal Identification
Animal Identification
Feral Animal Management
Feral Animal Management
Zoo Management
Zoo Management
Site Management
Site Management
Plantation / Crop Management
Plantation / Crop Management
Traffic Management
Traffic Management
Food Management / QA
Food Management / QA
Logistics Management
Logistics Management

Partnerships

SMTCameraMatrixConsultelData 3Onecomm

Technology

Google CloudIBM WatsonMicrosoft AzureAmazon AI