Of the main risks and barriers to the use of artificial intelligence (AI)
Posted: Tue Jan 21, 2025 9:11 am
technologies can help reduce environmental damage, but at the same time entail significant negative consequences for the environment.
and other digitalization systems in environmental monitoring, Maria Olkhovskaya, Head of the Patent and Inventive Activity Department of Splat Global LLC, highlighted the need malaysia whatsapp resource to build a full-fledged ecosystem that includes digital, ecology, and a place for humans. "We understand that first of all, we will offer to use it to a specific consumer who will evaluate our solution and immediately take into account all the requests that appear at the current stage. Undoubtedly, it is important to take into account the processing that should be included in this system, because nothing is perfect in our world. We see how dynamically the environment is changing, so, of course, we do not have to put AI at the forefront, despite the fact that we have a big focus on digital, but it seems to us that the entire system should be simple," said Maria Olkhovskaya.
Olesya Sukhanos, Head of IoT Product Development at PJSC MegaFon, named three factors that are not blocking, but slowing down the implementation of technologies in ecology: "Firstly, this is, of course, the cost. We have payback periods when complex IT solutions pay off on average in a year, but in general it is expensive, and the implementation of such technologies is not always included in the budgets of government agencies and enterprises. Secondly, this is the availability of qualified personnel. Very often, amazing and effective technology is supported by the state, but in the workplace there is denial from employees who will use it. I think that everyone has encountered this in one way or another. I also believe that it is very important to take into account cyber risks, since the implementation of technologies raises concerns. We work with industry and government agencies and see frequent cases of attacks on IoT devices, systems and data," said Olesya Sukhanos.
Igor Stepanishchev, founder and partner of the digital agency CapEx Pros, believes that the main risk of using AI in environmental monitoring is too high expectations and excessive, economically unjustified speed of implementation. "AI as a concept has been actively developing since 2016, but its general fame, partly media, is associated with literally one or two companies. At the same time, the development roadmap and milestones to be achieved are for years to come. Therefore, the risk of disappointment from implementation without clear benefits for users is a very important risk. Mitigating this risk mainly lies in the field of understanding the capabilities of the technology and monitoring application scenarios. The "two by two" formula works very well here: a company must understand the entire conceivable range of AI use at the moment - there will never be a final list - and have a good understanding of the map and resources for implementing four use cases: two easy implementations and two with great potential to
and other digitalization systems in environmental monitoring, Maria Olkhovskaya, Head of the Patent and Inventive Activity Department of Splat Global LLC, highlighted the need malaysia whatsapp resource to build a full-fledged ecosystem that includes digital, ecology, and a place for humans. "We understand that first of all, we will offer to use it to a specific consumer who will evaluate our solution and immediately take into account all the requests that appear at the current stage. Undoubtedly, it is important to take into account the processing that should be included in this system, because nothing is perfect in our world. We see how dynamically the environment is changing, so, of course, we do not have to put AI at the forefront, despite the fact that we have a big focus on digital, but it seems to us that the entire system should be simple," said Maria Olkhovskaya.
Olesya Sukhanos, Head of IoT Product Development at PJSC MegaFon, named three factors that are not blocking, but slowing down the implementation of technologies in ecology: "Firstly, this is, of course, the cost. We have payback periods when complex IT solutions pay off on average in a year, but in general it is expensive, and the implementation of such technologies is not always included in the budgets of government agencies and enterprises. Secondly, this is the availability of qualified personnel. Very often, amazing and effective technology is supported by the state, but in the workplace there is denial from employees who will use it. I think that everyone has encountered this in one way or another. I also believe that it is very important to take into account cyber risks, since the implementation of technologies raises concerns. We work with industry and government agencies and see frequent cases of attacks on IoT devices, systems and data," said Olesya Sukhanos.
Igor Stepanishchev, founder and partner of the digital agency CapEx Pros, believes that the main risk of using AI in environmental monitoring is too high expectations and excessive, economically unjustified speed of implementation. "AI as a concept has been actively developing since 2016, but its general fame, partly media, is associated with literally one or two companies. At the same time, the development roadmap and milestones to be achieved are for years to come. Therefore, the risk of disappointment from implementation without clear benefits for users is a very important risk. Mitigating this risk mainly lies in the field of understanding the capabilities of the technology and monitoring application scenarios. The "two by two" formula works very well here: a company must understand the entire conceivable range of AI use at the moment - there will never be a final list - and have a good understanding of the map and resources for implementing four use cases: two easy implementations and two with great potential to