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Automation, Machine Learning, AI, and the Evolving Landscape of Digital Solutions


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The energy sector continues its path through digital transformation. For decades, automation has been a cornerstone of operational efficiency, but artificial intelligence (AI), machine learning, advanced data analytics, and integrated data platforms are reshaping what’s possible. Control systems, once limited to facility level operations, have come a long way. Today’s systems are integrated with IT systems, providing business ground level information instantly, and allowing a view across the enterprise that was hardly imaginable just a few years ago.

Control systems are adaptive, data-driven, and with the right applications, capable of supporting predictive insights. Where operators once reacted to issues in the field, digital solutions now allow them to anticipate and mitigate problems. This evolution has increased the value of data exponentially. Data that used to be descriptive only, is now predictive. A static record is now a strategic asset, that allows comparison and optimization. This powers real time decisions making, at the operator level, engineering and business levels. An organization can look at facilities, assets, and other resources across the enterprise, and learn from the best.

automation, machine learning, ai, and the evolving landscape of digital solutions tarco

IT and OT domains that were previously siloed, have become necessarily integrated. This accelerated convergence of Operational Technology (OT) and Information Technology (IT) has been facilitated by the adoption of IT protocols and architectures, better understanding of cyber-security risk mitigation, and an understanding that increasing value came from improving the business’ money generating functions.

Digital solutions are also helping bridge the digital gap where an experienced technical resources workforce is harder to find. Skilled operators and engineers remain essential, but organizations need to extend their expertise more broadly, especially where constraints make operations impossible otherwise. Digital platforms allow centralized knowledge, enable remote troubleshooting, can support training, and reduce the need for costly travel and remote housing. Safety, efficiency, and future proofing make digital adoption both a business and human imperative.

Every organization in the energy sector faces the challenge of doing more with less. The cost of responding to downtime can far exceed the investment required for predictive maintenance. Likewise, the costs of under-optimization—lost production, inefficiency, higher emissions—are a drag on competitiveness.

Digital solutions can directly lower operational costs, improve equipment reliability, and help companies remain competitive in an increasingly demanding marketplace.

Next steps

The wrong path to digital transformation can be expensive and yield little value.  In our experience, some of the factors that contribute to success include:

  1. Start with clarity — Define the outcomes you want to achieve before investing in technology.
  2. Focus — Focus on critical priorities instead of trying to transform the entire enterprise at once.
  3. Build a resilient foundation — Invest in infrastructure that is scalable, secure, and future-ready.
  4. Pursue quick wins — Identify low-hanging fruit that generates fast payback and helps secure executive support.

The Tarco Perspective

At Tarco, we believe digital transformation is not about chasing buzzwords—it’s about solving real-world problems in smarter ways. From predictive maintenance to advanced automation, our solutions bridge the gap between OT and business needs, reducing operational risks, and unlocking lasting value for our clients.

Companies that embrace the right tools and approaches today will be better positioned to thrive tomorrow.

For more information email [email protected]



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