Artifical Intelligence and CRM

Disruptive technologies such as IoT, big data analytics, blockchain, and AI have changed the ways businesses operate, with AI holding immense marketing transformation potential. AI is influencing marketing strategies, business models, sales processes, customer service options, and customer behaviors. AI-CRM's improving ability to predict customer lifetime value will generate an inevitable rise in implementing adapted treatment of customers, leading to greater customer prioritization and service discrimination in markets. CSPs are working through the challenging process of digital transformation, driven by the need to compete with fast-moving OTT and consumer tech players. CSPs need to move quickly and can advance digital transformation with solutions that leverage AI which can drive value across the business from network optimization and data analytics through to customer care and marketing engagement. The chapter tries to identify how AI is impacting the CRM in the telecom industry and leveraging the benefits of this technology for better customer management and growth.

Kepemimpinan Transformasional Suatu Alternatif Pembelajaran Model Kepemimpinan Di Era Society 5.0 Bagi Taruna Akademi Angkatan Udara

Era Society 5.0 yang merupakan sebuah konsep dimana pengembangan Internet of Things, Big data, dan Artifical Intelligence diorientasikan untuk kehidupan manusia yang lebih baik, berbeda dengan konsep di Revolusi industri 4.0 dimana teknologi yang dikembangkan berorientasi pada produktifitas proses bisnis, hal ini telah merubah tatanan kehidupan. Kepemimpinan transformasional sebagai alternatif gaya kepemimpinan yang dapat menyesuaikan masa depan dengan perkembangan era society 5.0 dan menghadapi generasi milineal yang kritis yang dilatihkan kepada Taruna di Akademi Angkatan Udara. Penulisan naskah ini menggunakan metoda analisis deskriptif yang mengkaji pustaka dengan pendapat dari para ahli dan beberapa penelitian terdahulu. Berdasarkan penelitian Megawati dkk kepemimpinan transformasional berpengaruh positif dan signifikan terhadap pretasi kerja dengan dibuktikan dengan hasil perhitungan regresi sederhana atau hasil uji t diperoleh nilai t hitung adalah 9,451 sedangkan nilai t tabel 2,024. Artinya nilai t hitung > t tabel dan memperoleh nilai signifikansi tertinggi yaitu 0,00.

Perkembangan Koperasi Di Indonesia Dalam Menghadapi Tantangan Revolusi Industri 4.0 di Era Globalisasi

Permasalahan dalam penelitian ini adalah dalam perkembangannya di era globalisasi koperasi semakin memiliki banyak tantangan. Hal tesebut terjadi karena perubahan gaya hidup generasi milenial yang begitu cepat dan tidak menentu (disruptif), akibat perkembangan teknologi informasi, robotic, artifical intelligence, transportasi, dan komunikasi yang sangat pesat. Metode penelitian ini menggunakan metode studi kepustakaan (library research). Data yang ada dan yang dianalisis ialah data sekunder yang berasal dari berbagai sumber seperti buku maupun artikel jurnal. Dan selama ini, menurut status koperasi dalam sistem perekonomian Indonesia, koperasi mendapat dukungan pemerintah. Hasil kajian menggambarkan bahwa Adanya perkembangan teknologi, informasi, komunikasi dan perubahan gaya serta pola pikir masyarakat seharusnya tidak menjadi sebuah ancaman bagi koperasi, justru koperasi harus menangkap dampak positif dari perkembangan tersebut sehingga dampak positif yang menjadi peluang koperasi untuk meningkatkan perannya dalam pembangunan ekonomi bangsa dalam revolusi industri 4.0 di era globalisasi.

How Artificial Intelligence Is Changing Nursing: A Qualitative Study from Turkey (Preprint)

BACKGROUND Artificial intelligence-generated changes will have a major impact on nursing management. OBJECTIVE To determine the opinions of university students about the effects of artificial intelligence on the future of nursing. METHODS In-depth qualitative interviews were conducted with university students. The study included 12 senior-level students’ participants, who were selected by simple random sampling from different departments of Turkish universities in Istanbul. Data were analyzed using qualitative thematic analysis. RESULTS The participants defined artificial intelligence in terms of robots, robotized intelligence, machine learning and personal assistants. The participants listed the effects of artificial intelligence on nursing as a decrease in the number of nurses, a reduced workload for nurses, easier patient follow-up, a decreased margin of error, the use of robots for patient transport, the use of robots to position patients, the use of robots to measure vital signs, and the use of robots in psychomotor skill training. CONCLUSIONS In line with these results, it can be recommended that new subjects on AI and its role in the future of nursing be added to relevant education programs. This study is one of the first qualitative studies involving students in Turkey to be conducted artifical intelligence. Health and nursing policymakers should be develop courses in the curriculum that will increase student awareness of healthcare managers and policymakers researches about artificial intelligence.

Peran Artifical Intelligence dalam Tahap Perencanaan dan Perancangan Desain Arsitektur

Perkembangan teknologi informasi di masa modern ini menyetuh setiap sendi-sendi kehidupan yang membuat segalanya menjadi lebih mudah dan praktis. Situasi ini juga menggambarkan apa yang terjadi dalam bidang arsitektur yang menuntut peningkatan kompleksitas desain yang lenih tinggi dengan waktu yang lebih cepat dari masa-masa sebelumnya. Penggunaan teknologi digital di masa modern dalam bidang arsitektur perlahan-lahan mulai menggeser cara-cara tradisional dalam proses perencanaan dan perancangan arsitektur. Tulisan ini bertujuan untuk mengkaji peran teknologi digital dengan menggunakan Artificial Intellegence dalam proses perencanaan dan perancangan arsitektur di masa kini sehingga menjadikan proses desain menjadi lebih cepat, mudah, dan praktis serta memberikan pilihan-pilihan yang lebih beragam bagi arsitek untuk menentukan keputusan desain. Metode yang digunakan dalam penulisan ini adalah dengan menganalisa literature dari beberapa penelitian terkait tentang teori perencanaan dan perancangan serta serta Artificial Intellegence. Dengan perkembangan yang cukup eksponensial, penggunaan Artificial Intelligence dalam bidang arsitektur dimungkinkan bukan hanya sebagai alat perpanjangan tangan dari arsitek tetapi juga perpanjangan otak yang dapat mengeksplorasi desain dengan lebih banyak pilihan dalam waktu yang lebih cepat secara efektif dan efisien.

A Bibliometric Analysis of Articles on Text Simplification: Sample of Scopus Database

Literacy is a term generally used for adults and young people. Basically, it is an acquisition that includes the process of reading, writing and understanding symbols in any language. While this concept, whose definition and scope has expanded over time, refers to people who can only say their names in the past, today it refers to individuals who can perform more functional skills. What is expected from today’s literacy, which is also referred to as functional literacy, is not just saying the name, but also understanding what you read and harmonizing these information with the environment. It is critical to create texts that are easier to interpret, especially for poor readers and individuals learning foreign languages, in today’s world where reading comprehension and correct use of information have become extremely important. In this context, the text simplification method, which is one of the text modification methods, comes to the fore. In accordance with these information, this current study aims to presents the bibliometric analysis of articles on text simplification, which are published in journals indexed in Scopus database in the field of social sciences. The data set of the study consists of 194 articles on text simplification published in journals scanned in the field of social sciences and scopus database. These 194 articles were examined in terms of different variables. The research is generally a descriptive study and document analysis method was used as a method. In the data analysis stage of the research, VOSviewer visualization software version 1.6.16 was used. According to the results obtained from the study, the most articles on text simplification were written in 2020 (f: 21), most cited article is “Interpretation as Abduction” (f: 363) written by J.R Hobbs, M.E Stickel, D.E. Appelt and P. Martin. Findings obtained from the research were shared in the form of tables, graphs and figures. The most common keywords that preffered by authors is “Simplification” (f: 18). The most cited institution is “Artifical Intelligence Center” (f: 363). The most cited journal is “Artifical Intelligence” (f: 363). The most published country is United States of America (f: 30). The most cited country is United States of America (f: 863). All findings obtained from the research were shared as tables and figures in the findings section.