Unlocking AI Across Industries

Ashley Van SpanKeren
April 3, 2024

AI is not just for tech companies.

The power of artificial intelligence (AI) is no longer limited to huge tech companies. AI can streamline operations, inform important decisions, automate repetitive work and make space for human innovation. Even businesses that do not fit the mould of a tech company can leverage AI to enhance their efficiency. Let’s explore three sectors which hold immense potential for AI adoption.  

Oil & Gas

The oil and gas industry ingests massive amounts of data from equipment telemetry, sensors, and production records. It can be challenging to derive meaningful insights from the constant influx of data. AI can harness this data to optimize production processes and predict failures. This includes physical pipeline operations, chemical processes, and anything in between.

Another key aspect of this industry is field operations in remote environments and harsh climates. AI can monitor remote sensing data and analyze it in real time. Embedded systems reduce the need for human intervention. This saves valuable time in logistically challenging locations.

Furthermore, oil and gas exploration involves significant financial investment and ESG (environmental, social, governance) considerations. AI can reduce risk in these high-stakes endeavours using geological data, AI can generate detailed reservoir models. These models can predict the performance and ESG impacts of potential well sites. This can help exploration teams prioritize prospects.  

When troubleshooting operational issues, time is imperative. Generative AI makes training, documentation, and troubleshooting more accessible. Large language models (LLMs) can understand questions like “How can I treat corrosion in a pipeline?”. The models can produce accurate answers quickly using industry-specific standards.

To see how advanced analytics sped up decision-making for an energy company read a use case here:



Transportation companies manage intricate networks that connect nodes throughout the supply chain. This is a challenging task. Traffic, weather conditions, and fluctuating customer demand all complicate logistics. Integrating AI into a Transport Management System (TMS) can make these complexities more manageable. Predictive AI models can ingest transportation data such as weather forecasts, historical traffic patterns, and fuel consumption. Using this data, algorithms can optimize routes to reduce costs or minimize delivery times. Incorporating this advanced functionality into a TMS can help businesses simplify logistics and improve their processes.

Read more about supply chain optimization here:

It's not just employees who benefit from AI integration in the transportation industry. Stakeholders across the supply chain experience better visibility through real-time tracking and data analytics. Customers can view expected delivery times and track their packages. Governments can assess regulatory compliance using detailed data reports. Using AI to consolidate multiple data sources, transportation companies can provide improved visibility to earn their stakeholders’ trust.


Thanks to strides in computer vision, AI is revolutionizing how medical professionals diagnose patients. Modern microscopes can capture high-resolution images of biopsy tissue samples. Machine learning models are trained on these digital microscope images. These models can detect anomalies – such as tumours –  with high precision. In this way, AI acts as a second pair of eyes to pathologists. This empowers healthcare professionals to make confident diagnoses.

Chatbots are another innovative application of AI in the medical field. These virtual assistants use natural language processing (NLP) to pre-screen patients and provide informed guidance on basic medical questions. This can improve patient satisfaction and optimize patient cycles by helping make diagnostic workflows more efficient.


From optimizing transportation networks to enhancing patient care, AI offers a wide range of benefits to organizations willing to embrace it.  By integrating AI technologies, companies can position themselves for success in the digital age - regardless of their industry.


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