In this article, we will answer the main questions about the new phenomenon in the world of IT - MLOps, what challenges those who have decided to put work with data on stream and want to put the MLOps approach into practice will have to face, as well as trends and what awaits machine learning technology in the future. I suppose there is no need to explain who DevOps is and what machine learning is. The news is that recently these concepts have been combined. As usual: it is easier to manage expectations, results, and iterations for clients; compare the results of experiments; recheck hypotheses, and implement developments. Of course, all these advantages do not arise by themselves.

ABSTRACT Micro-mobility is promising to contribute to sustainable cities in the future with its efficiency and low cost. To better design such a sustainable future, it is necessary to understand the trends and challenges. Thus, we examined people's opinions on micro-mobility in the US and the EU using Tweets. We used topic modeling based on advanced natural language processing techniques and categorized the data into seven topics: promotion and service, mobility, technical features, acceptance, recreation, infrastructure and regulations. Furthermore, using sentiment analysis, we investigated people's positive and negative attitudes towards specific aspects of these topics and compared the patterns of the trends and challenges in the US and the EU. We found that 1) promotion and service included the majority of Twitter discussions in the both regions, 2) the EU had more positive opinions than the US, 3) micro-mobility devices were more widely used for utilitarian mobility and recreational purposes in the EU than in the US, and 4) compared to the EU, people in the US had many more concerns related to infrastructure and regulation issues. These findings help us understand the trends and challenges and prioritize different aspects in micro-mobility to improve their safety and experience across the two areas for designing a more sustainable micro-mobility future. INTRODUCTION The growth of transportation has raised the need for compact, flexible, and more sustainable forms of transportation. Recent developments in the micro-mobility industry show that these devices might address this issue and offer people safer and cheaper trips with reduced travel time. According to the Society of Automotive Engineers (SAE) definition (Society of Automotive Engineers, 2019), micro-mobility refers to a range of small, less than 500 pounds (227 kg) lightweight, fully motorized or motor-assisted devices operating at a speed below 30 mph (48 km/h) and ideal for trips up to 10 km. Typical examples include e-bikes, e-scooters, e-unicycles and e-skateboards, and some of them are widely used as personal or shared transportation devices (Price, Blackshear, Blount Jr, & Sandt, 2021). The global micro-mobility market has been increasing over the years. According to the NACTO (National Association of City Transportation Officials, 2020), 136 million trips were generated by shared micro-mobility in 2019 in the U.S., which was 60% more than 2018. Thus, micro-mobility devices can be well integrated into the overall urban design process of smart and sustainable transportation in the near future. With the sustainable design and development goal, we should not only consider technical challenges and requirements (e.g., battery and material), but also complement and constrain the design and development process by social, infrastructural, and political schemes for a sustainable future (Jiao, Luo, Malmqvist, Johan, & Summers, 2022).

Good connectivity between different pieces of equipment on the shop floor is important for their communication with each other, which eventually enable smart decision-making. This is one of the aspects of the fourth Industrial revolution, which is all set to re-map manufacturing businesses to deliver higher operational efficiency, better business outcomes and customer satisfaction through digital transformation. The digital landscape is continuously evolving for the manufacturing industry as businesses are adapting to the change and even anticipating changes before they occur. Fast-changing customer expectations and technological improvements that have brought a paradigm shift in other industries has begun to show the similar results in the manufacturing sector as well. Smart manufacturing is giving rise to smart factories Smart manufacturing is more than just automation, as it enables learning and adapting to the ever changing market conditions, delivering higher efficiency in quality control, than that performed by Quality Inspectors.

The first IEA/AIE conference was organized in 1988 in Tullahoma, Tennessee. Since that time, the conference has been held internationally in many countries including Germany, Scotland, Australia, Spain, Egypt, Hungary, England, Italy, France, Japan, Poland, China, Taiwan, Netherlands, and South Korea. The conference has always been sponsored by ISAI and all conferences have been held in cooperation with AAAI. AI, and Intelligent Systems in Health Care and The focus of the 2017 conference was on research mHealth for Health Outcomes advances in new and innovative intelligent systems' IEA/AIE-2017 also organized two workshops: ASP methodologies and their applications in solving reallife, Technologies for Querying Large-Scale Multiple-complex problems. In many worldwide applications, Source Heterogeneous Web Information, cochaired there is a real need to develop intelligent systems by Odile Papini, Salem Benferhat, Laurent Garcia, that deal with complex, open, and dynamic and Marie-Laure Mugnier; and Computer Animation information systems.