Future Technologies

Machine learning is a subfield of artificial intelligence that learns from data and mimics human intelligence. With supervised, unsupervised, semi-supervised, and reinforcement learning approaches, it discovers patterns in datasets, makes predictions, and automates processes. Deep learning, on the other hand, leverages multi-layered artificial neural networks to solve complex patterns, making it widely used in applications such as image, audio, and natural language processing. Today, these machine learning models are extensively applied in areas like finance, healthcare, recommendation systems, and autonomous vehicles. With cloud integration, they can operate on flexible, scalable, and secure infrastructures, enabling real-time predictions with large datasets. Details are in our article.

Digitalization, artificial intelligence, automation, and sustainability-oriented transformations are reshaping the future of business. The professions of the future are emerging as multidisciplinary fields that combine not only technological knowledge but also analytical thinking, creativity, and problem-solving skills.

SPSS is a powerful statistical software used to organize, analyze, and derive meaningful results from data. Particularly favored in social sciences, marketing, and educational research, this software facilitates data-driven decision-making with its user-friendly interface, advanced analytical tools, and visualization features. Today, using SPSS in the cloud enables analyses to be accessible from anywhere. Cloud-based SPSS solutions enhance research workflows by offering advantages such as secure data storage, automatic backups, and high performance. Continue reading to explore the details.

One of the artificial intelligence tools you can use to increase work efficiency is ChatGPT. From content creation and visual design to coding support and customer service, ChatGPT simplifies the work of many teams and has become an essential part of digital transformation for speed, efficiency, and automation. Discover our tips for efficient ChatGPT use in your workflow!

LLM, or Large Language Models, are advanced artificial intelligence models capable of understanding human language and generating new content. Models such as ChatGPT, GPT-4, and Claude are typical examples of generative (decoder-based) LLMs. NLP, on the other hand, focuses on analyzing the structure of language to derive meaning and perform tasks. Unlike NLP, LLMs expand on these principles with billions of parameters, enabling text generation, summarization, and human-like conversations. LLMs can be utilized in various fields—from content creation and customer service to data analysis and decision support systems. Through cloud-based integration and managed container solutions, organizations can maximize performance and scalability. Start reading now for more details!

NFC (Near Field Communication) is a technology that enables short-range wireless data transmission between devices. Widely used for contactless payments, authentication, data sharing, and IoT device management, NFC can be easily activated on smartphones, allowing payments or data transfers to be completed quickly and securely. In IoT and cloud ecosystems, NFC provides convenience and security through functions such as device authentication, configuration, secure key exchange, and access control. Because NFC operates over very short distances, it imposes minimal load on device performance; however, data transmission should always be protected with encryption and secure protocols. Continue reading for more details.

The Internet of Things (IoT) is a technology that enables internet-connected devices to collect data and communicate with each other, influencing nearly every aspect of modern life. From smart homes to industrial manufacturing, from healthcare devices to smart cities, IoT enhances efficiency and makes processes smarter—improving even decision-making mechanisms. The Industrial Internet of Things (IIoT), the business-oriented branch of IoT, optimizes production and logistics operations. Here, data collected via cloud computing is analyzed to generate meaningful insights. All of this highlights the advantages IoT offers in both daily life and business, though challenges such as security, data privacy, and maintenance must not be overlooked. Continue reading to explore the advantages, disadvantages, and use cases of IoT in more detail!

This article covers everything you need to know about artificial intelligence technologies and their applications in the business world!

Curious about what a qubit is and how it relates to quantum superposition and entanglement? In this article, we delve into the concept of qubits, their connection to quantum computers, and their impact on cloud systems. Start exploring this guide now to find comprehensive answers to the question “What is a qubit?”