Networking, Iranian Artificial Intelligence Growth Growth Guide Map

Inotox Exhibition It also provided a good opportunity for experts, experts, academics, artificial intelligence decision makers in Iran to gather under one ceiling and discuss discussion. The present report also explores the importance of networking, existing barriers, suggested strategies for creating a dynamic artificial intelligence community, and providing a multifaceted image of the role of networking in the development of this technology in Iran.

Networking, Play to Innovation

In a world where technologies are evolving at a staggering speed, networking acts as the beating heart of innovation. Mehdi Sadaqat, the CEO of Innovation House, links networking to creativity and innovation, and believes that innovation is developed when it comes to a communication network. The values ​​created by a team only sit down when they are expanded and reproduced in a network of human communication. Such a view considers networking not only to exchange knowledge, but also to transform raw ideas into tangible and effective products.

According to Sajjad Ekbatani, a former CEO of Phenap Plus and an electronic health activist, artificial intelligence is going on, and we must synchronize ourselves through networking and creating a structured society, an inevitable need for artificial intelligence development in Iran. Dialogue, synergy, and attendance in joint events, while sharing experiences and forming specialized teams, can also be regarded as contributing to the formation of this coherent society. Such an idea can be found in the experience of Part Company, which Hussein Nasseri, the leader of the Part Financial Data Business Processing Team. Projects such as “Watchtower” and “Vira Market” have not only provided a platform for artificial intelligence services, but also created a space for cooperation between developers, startups and even competitors. Such platforms show that networking can act as catalysts for synergy and enhance Iran’s artificial intelligence.

University and first steps of networking

Universities, as the centers of knowledge production and human resources training, can play a central role in the creation of a community of artificial intelligence. Dr. Shaghayegh, a member of the faculty of Isfahan University of Medical Sciences, believes that universities should educate a community of technology that can best use artificial intelligence boxes. He emphasizes that artificial intelligence, because of its similarity to the capabilities of the human brain, requires a special approach that universities can lead to leadership. This view introduces the university not only as the producer of knowledge, but as a context for culture and technology acceptance.

However, Dr. Daniel Samiei, Assistant Professor of Islamic Azad University Management, Head of the Center for Intelligence and Cognitive Sciences Research at the Islamic Azad University and Director of Guilan Research and Technology Fund, believes that universities themselves are influenced by artificial intelligence technology and must first accept this technology. He emphasizes the necessity of revising the educational system to prioritize skills such as creative thinking, effective communication and continuous learning. This review can turn universities into main networking centers in which students, professors, and industry are dynamic.

Social responsibility and culture, the key to public acceptance

One of the lesser aspects of the development of artificial intelligence is the bold role of social responsibility and culture in the process of organizational or public acceptance of artificial intelligence in society. Erfan Safipour, Rubika’s public relations director, believes that artificial intelligence and social responsibility can act as a complementary role. He points to projects such as the development of sound -to -text conversion for people with special needs that not only improve the user experience, but also increase service accessibility. Safipour emphasizes that leading brands in the field of artificial intelligence must provide transparent information on this technology through public relations and media, and public awareness to reduce public and often misguided beliefs and concerns such as complete replacement of artificial intelligence with human labor. Because artificial intelligence has been created to serve human society and its ultimate goal is to improve the quality of life; But before it can be effective, it must be accepted as a member in society.

This view is also in line with the opinion of Mahmoud Mousavi, a Snap board consultant, which emphasizes the importance of sharing knowledge and experiences. Referring to cultural and religious beliefs, he believes that “science is not only reduced, but it increases.” Mousavi suggests that abandonment and jealousy and focusing on resolving real problems such as pollution, traffic, and lack of time in metropolises can provide an incentive to cooperate and network. This problem -based approach, in which artificial intelligence is used as a tool to improve people’s lives, can act as a driving force to create a united society. As the general public in this way can see the profound impact of artificial intelligence in improving their daily lives, the process of acceptance, the culture of public use, and the belief in the helpful essence of artificial intelligence will be faster.

Practical Innovations and Hope sparks

Surfing at Ingx 2 and chatting with companies, startups and artificial intelligence activists in Iran have made practical steps to develop artificial intelligence and strengthen networking. An example of these activities can be considered a product of Part Financial Data Processing Company in Viera Market. Vira’s market and software market has provided artificial intelligence APIs in areas such as image processing, speech processing and natural language processing, access to startups, ordinary users to advanced artificial intelligence -based technologies with a very simple and comfortable user interface and experience. This platform not only helps developers, but also helps to enhance artificial intelligence by creating a space for cooperation. Nasseri emphasizes that “our goal is to synergy in the part”, and in this regard, the Vira Market enables businesses to provide their own dedicated services alongside Part services.

Similarly, Dr. Mehdi Talib, Vice President of Information Technology of the Nations Institute of Credit, refers to the applications of artificial intelligence in e -banking and views the banking industry as the first line of using artificial intelligence in organizational applications and somehow the cultural flow of public acceptance. Dr. Taleb speaks services such as digital authentication, fraud discovering and offering services that have improved customer experience. For example, artificial intelligence by analyzing customer financial behaviors identifies suspicious transactions and strengthens banking systems security. These innovations not only show the high potential of artificial intelligence in resolving real problems, but can, as successful examples, create an incentive to cooperate between activists in the field.

Ali Zare Malek, a product of Datin fraud detection strategies, also points to the widespread applications of artificial intelligence in the banking field. Datin uses these technologies in the field of authentication, validation, and facilities, and even offers artificial intelligence -based services to the end customers even in products such as Neobank Vipad. These efforts indicate the move towards the use of artificial intelligence in everyday life, which can increase the general adoption of this technology.

Permanent challenges with a new form

Despite the existing potential, the formation of a coherent society of artificial intelligence in Iran is facing many obstacles. Ekbatani considers the emergence of this area to be one of the main obstacles in Iran, as well as global confusion that are not unique to Iran regarding regulatory, professional ethics, income models and access to expensive infrastructure that have exacerbated these challenges in Iran. Rahman Yousefzadeh, director of the Snap Science Team, also emphasized the lack of a joint vision, believing that the lack of data to develop advanced models of artificial intelligence has kept native activities in the early stages. According to Yousefzadeh, the first step of developing Iran’s artificial intelligence network is to create a common perspective among activists in the field. People and teams active in this area must be identified and the motivation to cooperate. After that, we can think of networking and forming a coherent society. But at the same time, effective synergy has been formed in the early stages.

But Mohammad Hossein Waqif, the leader of agile development practices at Tomorrow’s E -Commerce Company, finds government intervention as a serious obstacle. He suggests that removing these barriers can lead to natural and faster networking by criticizing government associations that often operate and spend public resources on personal interests. This view is in line with Ali Zare’s view of Datin, which emphasizes the need for specialized workgroups and more interaction with universities. Zare believes that limited access to advanced hardware has made it difficult to develop. The high costs of using infrastructure such as processing GPUs to teach artificial intelligence models that cost up to several tens of dollars monthly, which are not available to many students and researchers.

But Dr. Daniel Samiei considers the challenges of the education system more prominent. He believes that over-focusing on the central expertise and the lack of creative and communication skills training prevents the training of T-SSAPED specialists who are essential for the development of artificial intelligence. These defects have made universities unable to play their role as the main propulsion of this field.

Recommendations for development

Interviewing and chat with Iranian artificial intelligence activists can see that the majority have a common view of the current conditions of the Iranian artificial intelligence community, and even propose similar key strategies to strengthen networking and create a coherent community of artificial intelligence in Iran. Including these recommendations:

1- Encouragement to cooperate: Training of T-Shoped specialists who combine technical and non-technical skills and encourage interdisciplinary collaborations between engineers, sociologists, psychologists and even artists can lead to more creative and comprehensive solutions.

2- Creating a common perspective: Holding specialized events, workshops and conversation panels can help the convergence of activists in the field and the formation of a single literature. These events can provide a space to exchange ideas and identify shared needs.

3- Reduce government interferenceA: Removing government barriers and supporting private initiatives can increase development. Private accelerators and independent platforms, such as what is formed on LinkedIn or other social networks, can help natural and spontaneous networking.

4- Strengthening interaction with universities: Creating applied training programs, co -trainers of industry and conducting academic -industrial events and the role of universities in human resource training and knowledge dissemination can fill the gap between the academy and the labor market.

5. Supporting the infrastructureA: Developing and establishing internal hardware at a reasonable cost can help developers and researchers move their projects at a lower cost.

6. Focusing on social responsibilityA: Social responsibility projects that use artificial intelligence to solve social problems can lead to culture and reduce public concerns and increase the speed of acceptance of this technology and help create a positive image of it.

Modeling of successful modelsA: Studying the experiences of advanced countries can help develop effective strategies. Examples of organized models in countries with stronger artificial intelligence can help structure this community in Iran.

Look at the future

Chat with scholars suggests that artificial intelligence in Iran is on the verge of a big leap, but this leap will only be achieved by cooperating and synchronizing between activists, academics and policymakers, and in an effective speech. Networking, as a bridge between ideas and practice, can share knowledge and experience, create motivation for innovation, and pave the way for real problems. Despite challenges such as lack of infrastructure, lack of common prospects and educational barriers, manpower capacity and creativity can turn these barriers into opportunities for growth.

Overall, the creation of a coherent society of artificial intelligence in Iran requires multilateral efforts. From holding specialized events and enhancing the relationship between industry and university to reduce access to technology and public culture. As Nasseri emphasizes, “If this solidarity is not formed and activities continue on an island, we cannot achieve great goals.” The future of artificial intelligence in Iran is clear, but this future will only come true by building a dynamic, united and problematic society. Along the way, every small step towards networking will be a big step towards realizing the many capacities of this technology in Iran.