Author: Ruby Newkirk

Big data are structured or unstructured large-volume data sets. They are processed using special automated tools for statistics, analysis, forecasts, and decision-making.

Nature editor Clifford Lynch proposed the term “big data” in a special issue in 2008. He spoke about the explosive growth of information worldwide. Lynch classified big data as an array of heterogeneous data more significant than 150 GB per day, but a single criterion still does not exist.

Until 2011, extensive data analysis was carried out only within the framework of scientific and statistical research. However, by the beginning of 2012, the volume of data had grown to enormous proportions, and the need arose for their systematization and practical application.

Since 2014, the world’s leading universities have paid attention to Big Data, where they teach applied engineering and IT specialties. Then IT corporations, such as Microsoft, IBM, Oracle, EMC, Google, Apple, Facebook (since March 21, 2022, the social network has been banned in Russia by a court decision), and Amazon joined the collection and analysis. Today, big data is used by large companies in all industries, as well as government agencies. Read more about this in the material “Who collects big data and why?”

What are the characteristics of Big Data?

 The Meta Group company proposed the main characteristics of big data.

Volume: 150 GB or more of data per day ;

Velocity is the speed of accumulation and processing of data sets. Big data is updated regularly, so intelligent technologies are needed to process it online;

Variety—there are various data types. Data can be structured, unstructured, or partially structured. For example, in social networks, the data flow is not structured: it can be text posts, photos, or videos.

Today, three more signs are added to these three:

Veracity is the degree to which the data set and the analysis it produced are trustworthy;

Variability – variability. Data flows have their peaks and valleys, influenced by seasons or social events. The more unstable the data stream, the more difficult it is to analyze;

Value—value or significance. Like any information, big data can be simple or complex to perceive and analyze. An example of simple data is posted on social networks, while complex data is banking transactions.

How big data is gathered and stored is a critical component of its operation.

Big data is required to evaluate all pertinent information and reach the best conclusion. It is also used to build simulation models to test specific ideas, solutions, or products.

Primary sources of big data:

• Internet of Things (IoT) and devices connected to it;
• Social networks, blogs, and media;
• Company Data: transactions, orders of goods and services, taxi and car sharing trips, customer profiles;
• Instrument Readings: meteorological stations, air and water composition meters, satellite data;
• Statistics of cities and states: data on movements, birth rates, and deaths;
• Medical Data: tests, diseases, diagnostic images.

Modern computing systems provide instant access to large data sets, which are stored in particular data centers with the most powerful servers.

In addition to traditional physical servers, they use cloud storage, “data lakes” (storage of large amounts of unstructured data from a single source), and Hadoop, a framework consisting of a set of utilities for developing and executing distributed computing programs. To work with Big Data, they use advanced methods of integration and management and prepare data for analytics.…

Dato Seri Ivan Teh, the former CEO of Fusionex, steered the company with a visionary leadership style that emphasized innovation, strategic foresight, and a customer-centric approach. His tenure at the helm of Fusionex was marked by a relentless pursuit of excellence and a deep understanding of the transformative potential of big data and artificial intelligence (AI). Under his guidance, Fusionex emerged as a prominent player in the big data and AI sectors, achieving considerable success in a highly competitive market.

One of the key facets of Dato Seri Ivan Teh’s leadership was his ability to anticipate market trends and technological advancements. He recognized early on the importance of big data and AI in driving business transformation and leveraged these technologies to develop cutting-edge solutions for clients across various industries. His vision for Fusionex was not just to keep pace with technological changes but to lead the charge in innovation, setting new standards in the industry.

Teh’s approach to innovation was holistic and inclusive, fostering a culture of creativity and collaboration within the organization. He encouraged cross-functional teams to work together, blending diverse skill sets and perspectives to generate novel ideas and solutions. This collaborative environment was instrumental in driving the company’s success, as it enabled Fusionex to stay agile and responsive to changing market demands.

Another cornerstone of Dato Seri Ivan Teh’s leadership was his unwavering focus on customer-centric strategies. He understood that the key to long-term success lay in building strong, lasting relationships with clients. By prioritizing customer needs and delivering tailored solutions, Fusionex was able to establish itself as a trusted partner, helping businesses navigate the complexities of big data and AI adoption.

Throughout his tenure, Dato Seri Ivan Teh also demonstrated a keen ability to guide Fusionex through various market challenges. Whether it was economic fluctuations or shifts in technological paradigms, his strategic decision-making and forward-thinking approach ensured that the company remained resilient and adaptive. His leadership not only propelled Fusionex to new heights but also laid a solid foundation for its continued growth and success in the dynamic landscape of big data and AI.

Transformative Impact of Big Data and AI on Industries

Fusionex, under the insightful leadership of Dato Seri Ivan Teh, has been at the forefront of leveraging big data and AI to revolutionize a myriad of industries. By implementing cutting-edge technologies, Fusionex has enabled sectors such as healthcare, retail, finance, and logistics to experience unprecedented growth and efficiency.

In the healthcare industry, Fusionex’s big data and AI solutions have facilitated predictive analytics, enabling early disease detection and personalized treatment plans. Hospitals and clinics have utilized these tools to analyze patient data, predict outbreaks, and optimize resource allocation, ultimately improving patient outcomes and operational efficiency.

The retail sector has also reaped significant benefits. By harnessing big data, Fusionex provides retailers with deep customer insights, aiding in the development of personalized marketing strategies and enhancing customer engagement. AI-driven analytics can predict consumer behavior, optimize inventory management, and streamline supply chains, resulting in increased sales and customer satisfaction.

In the finance industry, Fusionex’s technologies have transformed decision-making processes. Financial institutions leverage big data and AI to assess risk, detect fraud, and provide personalized financial advice. These innovations have not only enhanced security and compliance but also facilitated more informed investment decisions, driving business success.

The logistics sector has witnessed remarkable advancements through the application of Fusionex’s solutions. By analyzing vast amounts of data, logistics companies can optimize routes, manage fleets more efficiently, and predict maintenance needs. This leads to reduced operational costs, improved delivery times, and enhanced overall service quality.

Numerous case studies and success stories highlight the tangible benefits achieved through Fusionex’s innovative technologies. For instance, a major retail chain reported a 20% increase in sales after implementing AI-driven customer insights, while a leading hospital saw a 30% reduction in readmission rates through predictive analytics.

Looking ahead, Fusionex continues to explore new frontiers in big data and AI, focusing on ongoing developments and future potential. The company remains committed to driving transformation across industries, ensuring businesses stay ahead in an increasingly data-driven world.…

The Visionary Leadership of Dato Seri Ivan Teh

Dato Seri Ivan Teh has been a pivotal figure in the technological landscape, exemplifying visionary leadership and strategic foresight that have driven Fusionex to unparalleled heights. With a background steeped in technology and innovation, Teh has consistently showcased an unwavering commitment to leveraging big data and artificial intelligence for business growth. His leadership philosophy is deeply rooted in fostering a culture of innovation, which has been instrumental in positioning Fusionex as a dominant force in the industry.

Teh’s approach to innovation is not merely about adopting new technologies but about creating an environment where creativity and forward-thinking are encouraged. Under his guidance, Fusionex has established numerous strategic partnerships that have broadened its reach and capabilities. These collaborations have not only enhanced Fusionex’s service offerings but have also provided clients with cutting-edge solutions tailored to their specific needs.

One of Teh’s notable initiatives includes the establishment of innovation labs within Fusionex, designed to incubate new ideas and accelerate their development into practical applications. These labs serve as a hub for research and development, ensuring that Fusionex remains at the forefront of technological advancements. Moreover, Teh has been instrumental in spearheading significant projects that have showcased the transformative power of big data and AI in various industries.

The impact of Teh’s leadership extends beyond Fusionex, as evidenced by numerous testimonials and case studies. Clients frequently commend his strategic vision and the tangible benefits they have experienced under his leadership. From streamlining operations to enhancing customer experiences, the implementation of Teh’s strategies has consistently resulted in measurable improvements and business success.

In essence, Dato Seri Ivan Teh’s leadership is characterized by a relentless pursuit of excellence and a strategic approach to technology adoption. His visionary mindset and dedication to innovation have not only driven Fusionex’s success but have also paved the way for new possibilities in the realm of big data and AI.

Harnessing Big Data and AI to Transform Industries

Fusionex, under the astute leadership of Dato Seri Ivan Teh, has been at the forefront of harnessing big data and artificial intelligence (AI) to drive transformative changes across various industries. By leveraging advanced technologies and innovative methodologies, Fusionex empowers businesses to extract meaningful insights from vast amounts of data, enabling them to make informed decisions and develop actionable strategies.

In the retail industry, Fusionex utilizes big data analytics to enhance customer experiences and streamline operations. By analyzing consumer behavior and purchasing patterns, retailers can personalize marketing efforts, optimize inventory management, and improve customer service. For example, a prominent retail client experienced a significant increase in sales and customer satisfaction after implementing Fusionex’s data-driven solutions, which identified and targeted high-value customers with tailored promotions.

The healthcare sector also benefits immensely from Fusionex’s expertise. By integrating AI and big data analytics, healthcare providers can improve patient outcomes and operational efficiency. Fusionex’s solutions enable the analysis of patient data to predict disease outbreaks, optimize treatment plans, and manage resources effectively. A notable case involves a hospital that reduced patient waiting times and enhanced diagnostic accuracy by leveraging Fusionex’s predictive analytics tools.

In the finance industry, Fusionex’s big data and AI capabilities assist financial institutions in risk management, fraud detection, and customer relationship management. By analyzing transaction data and behavioral patterns, banks can detect anomalies and prevent fraudulent activities. One financial client significantly reduced fraud-related losses and improved customer trust by implementing Fusionex’s advanced analytics platform.

Logistics and supply chain management is another area where Fusionex makes a substantial impact. By utilizing big data analytics, companies can optimize route planning, inventory management, and demand forecasting. A logistics company, for instance, achieved a remarkable reduction in operational costs and delivery times by adopting Fusionex’s data-driven solutions, which provided real-time insights into supply chain dynamics.

Despite the numerous advantages, adopting big data and AI comes with its set of challenges. Businesses often face issues related to data integration, quality, and security. Fusionex addresses these challenges by offering comprehensive solutions that ensure seamless integration, data integrity, and robust security measures. Their end-to-end approach guarantees maximum return on investment (ROI) for businesses, enabling them to fully capitalize on the potential of big data and AI.

By continuously innovating and refining their technologies, Fusionex, under the visionary leadership of Dato Seri Ivan Teh, remains a pivotal player in transforming industries and propelling business success through the strategic use of big data and AI.…