According to a well-known analogy, artificial intelligence is new electricity, which, like electricity in its time, will completely transform not only many industries and businesses, but will change the whole society as a whole. Companies that are the first to use AI-based tools will gain a competitive advantage and work more efficiently than their competitors.
Therefore, it is not surprising that today many enterprises are either thinking or already starting to use solutions based on AI and MO in order to benefit from these new promising technologies and increase their competitiveness. However, due to the novelty and sufficient complexity of this area, such projects are often very difficult to implement. Even the initial stages of this path often cause significant difficulties since it is not always obvious where to start the implementation of AI and what is the best and most effective roadmap for the widespread implementation of AI in various enterprises.
On this way it is easy to get confused and quite easy to make costly mistakes. For example, some companies decide to invest heavily in their IT infrastructure for collecting and storing data, often forgetting to evaluate before that whether this data is actually a valuable resource and whether it makes sense to accumulate and process it. Another typical example of inefficient spending of resources is when companies spend many months and considerable finances developing their own unique strategy for using AI, which as a result can either be impracticable in principle or very far from the real needs of the enterprise since initially, it is not always clear how tools MoE and AI can really help improve an existing, well-functioning business.
For companies thinking about introducing AI, we always advise you to follow the advice of Andrew Eun (one of the most famous researchers and practitioners of AI), which he gave in his book, Implementing Artificial Intelligence. Before embarking on large-scale implementation of AI, we recommend that you carry out a pilot project that would allow you to understand how the MO and AI tools will work in a specific environment and the company's “ecosystem” and whether these tools will bring real benefits. This approach has obvious advantages - relatively small investments are required for its implementation, since even a small internal resource (data department) may be sufficient, provided that it receives support from other departments of the organization and / or from a third-party consulting firm. At the same time, this approach can not only convincingly show whether AI tools can work effectively and be useful, but even bring tangible benefits for several months. In addition, if the pilot project is successful, all the best practices and experience can be effectively extended to all subsequent larger AI implementation projects.
Since the main field of activity of Kogintek is industries and companies based on the use of various technological processes (such as oil and gas companies, petrochemicals, refining, energy production, etc.), we are confident for such enterprises that improving the efficiency of such processes using tools AI is the best choice for a pilot AI project. It is the increase in efficiency due to optimization that we recommend to companies seeking our help.
New electricity
According to a well-known analogy, artificial intelligence is new electricity, which, like electricity in its time, will completely transform not only many industries and businesses, but will change the whole society as a whole
9 September 2021
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