PROFIT Industry & Energy Day conference was held in Astana on 23 August 2024, where experts discussed the use of artificial intelligence (AI) in industry, automation and digitalisation at industrial enterprises. The main topics concerned real cases, such as the introduction of AI in mines to optimise operations and improve workplace safety. Experts noted that AI is used in predictive analytics and automation, but has not yet reached the stage of full-fledged implementation in manufacturing. Challenges include data collection and verification, updating equipment and developing employees' digital competences.
Salamat Laura, Business Development Director at Algarytm Integration, made a presentation on the digitalisation of industry and energy in Kazakhstan. According to her data, the highest growth of digitalisation was observed in metallurgy, construction and food industries, as well as mechanical engineering. Light industry, chemical and petrochemical industry, pharmaceuticals, as well as production of rubber and plastic products are at an average level of development with slow growth. The furniture and other finished goods, tobacco, printing, pulp and wood processing industries remain in the conservative growth segment with a low level of digitalisation.
The experts also discussed artificial intelligence, the most prominent topic of discussion.
‘These algorithms are more advanced now. AI can answer questions promptly and beautifully. We apply it in video analytics, business analytics, we make such, say, onpremice devices that allow us to organise a black box system to apply some scenarios and analytical models on the fly at a particular production facility,’ says speaker Kalilallo Baitasov, CIO of Elcos.
Laura Salamat, an expert in the field of digital transformation of industry, supported him, noting that the most important thing is the methodology development work in enterprises. And everything related to data, directories, etc. has been used by enterprises for a very long time.
‘Well, in general, situation centres have been built at enterprises for a long time too, this is not news. But this is not artificial intelligence either. We must distinguish between artificial intelligence and predictive analytics. Now, to a greater extent, we are talking about predictive analytics projects. I have not yet come across projects specifically on artificial intelligence in manufacturing. The use of AI is probably only possible in operational terms, but not yet in production. Yes, predictive analytics that exist at enterprises as part of data normalisation, methodology, and so on - this has a place, and these are really cool projects. Even not everyone has them - only large corporations in Kazakhstan can boast of them. Industry needs time to understand how AI will be implemented in production, to understand what AI is in general. Not for other industries, but specifically for industry. It is quite different from what we generally meet and use today,’ said Laura Salamat.
As a result of a whole day of discussions and expert presentations at PROFIT Industry & Energy Day 2024, we can conclude that Kazakhstan's industry is not standing still, trying to implement these or those digital solutions. Moreover, we already see a lot of successful cases, which means that smaller enterprises will also strive to learn from the experience of large enterprises. Moreover, there are plenty of interesting solutions on the market, and vendors are ready to share their expertise.
Salamat Laura, Business Development Director at Algarytm Integration, made a presentation on the digitalisation of industry and energy in Kazakhstan. According to her data, the highest growth of digitalisation was observed in metallurgy, construction and food industries, as well as mechanical engineering. Light industry, chemical and petrochemical industry, pharmaceuticals, as well as production of rubber and plastic products are at an average level of development with slow growth. The furniture and other finished goods, tobacco, printing, pulp and wood processing industries remain in the conservative growth segment with a low level of digitalisation.
The experts also discussed artificial intelligence, the most prominent topic of discussion.
‘These algorithms are more advanced now. AI can answer questions promptly and beautifully. We apply it in video analytics, business analytics, we make such, say, onpremice devices that allow us to organise a black box system to apply some scenarios and analytical models on the fly at a particular production facility,’ says speaker Kalilallo Baitasov, CIO of Elcos.
Laura Salamat, an expert in the field of digital transformation of industry, supported him, noting that the most important thing is the methodology development work in enterprises. And everything related to data, directories, etc. has been used by enterprises for a very long time.
‘Well, in general, situation centres have been built at enterprises for a long time too, this is not news. But this is not artificial intelligence either. We must distinguish between artificial intelligence and predictive analytics. Now, to a greater extent, we are talking about predictive analytics projects. I have not yet come across projects specifically on artificial intelligence in manufacturing. The use of AI is probably only possible in operational terms, but not yet in production. Yes, predictive analytics that exist at enterprises as part of data normalisation, methodology, and so on - this has a place, and these are really cool projects. Even not everyone has them - only large corporations in Kazakhstan can boast of them. Industry needs time to understand how AI will be implemented in production, to understand what AI is in general. Not for other industries, but specifically for industry. It is quite different from what we generally meet and use today,’ said Laura Salamat.
As a result of a whole day of discussions and expert presentations at PROFIT Industry & Energy Day 2024, we can conclude that Kazakhstan's industry is not standing still, trying to implement these or those digital solutions. Moreover, we already see a lot of successful cases, which means that smaller enterprises will also strive to learn from the experience of large enterprises. Moreover, there are plenty of interesting solutions on the market, and vendors are ready to share their expertise.