Big Data, Machine Learning, and Artificial Intelligence. Technologies defined as Big Data, Machine Learning and Artificial Intelligence are new concepts that have just entered our business life, but they can and will have huge impacts.
These major concepts that are mentioned below are used to find meaningful information and to reveal the decision alternatives that can be taken by the gains from this information;
- Production Data
- Activity Data
- Consumer Data
This issue is very important because today, 70% of the production or activity data obtained is not available.
Some of the most prominent usage areas of Big Data (BD), Machine Learning (ML) and Artificial Intelligence (AI) are as follows;
- Decision Support Systems
- Trend Analysis
- Anomaly Analysis
- Pattern / Relationship Analysis
- Quality Management
- Predictive / Preventive Maintenance
- Process Optimization
Moreover, and most importantly, products and / or services with AI characteristics have the potential to meet customer expectations and increase satisfaction.
The technological developments such as Big Data, Machine Learning, and Artificial Intelligence are embodied in the production and manufacturing industries are briefly defined as Industry 4.0. The components that bring about this definition can be summarized as follows:
IoT, AI, Robotics, Wearable Technologies, and 3D printers.
Various research organizations state that the number of interconnected devices will be around 80 billion by 2025. With IoT and Cloud infrastructures that provide the benefit of this technology, businesses will have access to the tools they have not been aware of before.
- Smart Business Control
- Real-Time Performance Management
are only a few of them.
However, it is worth considering some concerns over the benefits of these systems, which can be grouped as follows;
- Habits, Traditions and Business Culture
With these components that make up Industry 4.0, systems, processes and services become smart. Everything done by means of traditional systems is completely changing. The greatest reason for this is the incredible size and diversity of data that almost every institution and even every individual has.
The concept of big data that emerges from the need to use data contains and should contain the necessary tools for data collection, identification, classification, and processing.
In order to meet these needs, Machine Learning and Artificial Intelligence are developing as the most useful technologies that can be used.
Some algorithms developed in this regard reveal hidden relationships between data sets and provide remarkable results thanks to their ability to make predictions.
As Agiliom, we provide data analysis, project design, solution development and continuous innovation support to institutions and organizations from all sectors who want to gain value from big data.
Collecting all the data of the institutions and organizations which are generally distributed (structural, non-structural, stream…) is provided. We provide solutions, not products, by processing the collected data, making it ready for analysis, and using open source platforms such as Hadoop and Spark as much as possible. In doing so, we also attach equal importance to access and authentication, encryption, as well as compliance with legal regulations and standards such as Law on Protection of Personal Data (LPPD), General Data Protection Regulation (GDPR), and ISO 27001 Information Security to ensure the security of this data.