

TCM
By Centrixe (formerly Infosys)
TCM Enterprise edition is a comprehensive software ideal for medium to large organisations with diverse international locations, complex multi-model solutions with a large number of users or requirements for large volume, transactional level data analysis requirement. TCM provides a powerful database and tools for the most complex budgeting and forecasting, financial consolidation and management reporting and analysis. TCM’s integrated functionality provides an easy-to-use solution to give you a complete picture of the organization, allowing you to view and analyze it from a variety of perspectives.
TCM Enterprise edition has a unique capability to combine multidimensional summary level data with a transaction level SQL Server database.
Seller
Centrixe (formerly Infosys)
Multi-Department/Project
Asset Lifecycle Management
Income & Balance Sheet
Profit/Loss Statement
Cash Management
Forecasting
General Ledger
Version Control
TCM is headquartered in Libadiye Cad. Tahralı Sk. Tahralı Sitesi, Fetih, Kavakyeli Plaza C Blok K:11, Turkey, and has 1 office location.
TCM customers in the Middle East are served through a network of distributors located in several countries within the region. These distributors provide TCM products and services to a diverse range of clients across different sectors. Here are the countries in the Middle East where TCM has distributors, indicating the potential customer base in each location:
- Bahrain: A. A. Bin Hindi is the distributor, serving customers in the Kingdom of Bahrain.
- Jordan: Alkan International Motors operates in Jordan, providing TCM products and services to Jordanian customers.
- Kuwait: Boodai Trading Co. Ltd. (W.L.L) is the distributor for Kuwait, catering to the needs of customers in this country.
- Oman: International Integrated Equipment LLC (Bahwan International Group) serves customers in the Sultanate of Oman.
- Qatar: Mannai Trading Co. WLL is the distributor in Qatar, offering TCM products and services to Qatari clients.
- Saudi Arabia: Aljomaih Equipment Co. Ltd. is responsible for serving customers in the Kingdom of Saudi Arabia.
- Turkey: Enka Pazarlama Ihracat Ithalat A.S. operates in Turkey, providing TCM solutions to Turkish customers.
- United Arab Emirates: Al Masood Commercial Vehicles & Equipment serves customers in the UAE, including Abu Dhabi.
These distributors are responsible for supplying TCM's forklift and material handling equipment to various industries, including manufacturing, logistics, retail, and wholesale, among others, within these countries.
The local address for TCM (Technology Corporate Management) is provided in the search results for their offices in different locations:
1. New York Office:
- One World Trade Centre, 85th Floor, New York, NY, 10007.
2. London Office:
- Suite 312-314 Business Design Centre, 52 Upper Street, London, N1 0QH.
These addresses are specific to the TCM Group's offices in New York and London, where they can be visited or contacted directly.
Yes, the AI 4 TCM SOFTWARE PLATFORM supports Arabic (العربية) among other languages, ensuring the integrity, confidentiality, and availability of data.
Yes, the TCM platform does use AI. Specifically, the TCM Group Global Debt Collection platform is described as an AI-based IT platform that utilizes artificial intelligence and data analysis for its operations. Additionally, the integration of AI into TCM is a significant theme across various sources, indicating widespread use of AI in TCM applications for enhancing diagnostic systems, treatment plans, and overall healthcare quality.
The AI technologies used in Traditional Chinese Medicine (TCM) are diverse and include a range of machine learning and artificial intelligence methods. Here are some specific AI technologies and approaches mentioned in the sources:
1. Machine Learning Algorithms: Traditional machine learning algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), and Multilayer Perceptrons (MLP) are widely used in TCM for various purposes including disease diagnosis, treatment effect evaluation, and prediction of biomarkers.
2. Deep Learning: With advancements in AI, deep learning has found additional applications in TCM, showing higher prediction performance than traditional machine learning algorithms. Deep learning is utilized for more complex data analysis and pattern recognition tasks in TCM.
3. Expert Systems: In the early development of AI in TCM, rule-based decision inference was widely used in expert systems. These systems made inferences by judging the credibility of nodes in a knowledge tree and used backtracking mechanisms for optimization.
4. Artificial Neural Networks (ANN): ANNs are used for simulating the activity of the human brain, handling complex information environments, and managing fuzzy or unclear knowledge and rules in TCM diagnosis.
5. Prescription Recommendation Systems: AI methods such as logistic regression and decision trees are used to establish prediction models for TCM prescription recommendations. Advanced systems like FordNet fuse phenotype and molecule information for intelligent prescription recommendations.
6. Seq2seq Models: In recent years, deep learning methods like sequence-to-sequence (seq2seq) models have been explored for end-to-end TCM prescription generation tasks, demonstrating the integration of modern AI techniques in TCM.
These AI technologies are integral to the modernization and enhancement of TCM practices, improving diagnostic accuracy, treatment efficacy, and overall understanding of TCM principles through sophisticated data analysis and predictive modeling.
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