Artificial intelligence (AI), machine learning (ML), and data science are together transforming modern organizations in new ways. These highly advanced technologies—along with a long queue of related technologies—have reshaped global organizations of all shapes and sizes in recent times. The cumulative success of these technologies in businesses is so huge that now the remaining organizations […]
Data Architecture Challenges
The more your business grows, the more complex your business’s Data Architecture becomes. Enterprise Data Architecture challenges abound – from the beginning and throughout the journey. Data has now become the lifeblood of any business, and business data cannot survive without a solid underlying Data Architecture. Data helps businesses to identify risks and opportunities, understand […]
Developing a Data Analytics Strategy
While data-driven digital platforms and the recent pandemic have opened new and novel opportunities for businesses to go beyond geographical borders and compete in truly global business environments, an average business faces tremendous pressure to demonstrate the value of their operations. With the rising importance of data as the new oil of a global business […]
Data Mesh vs. Data Lake: Which Is Better for Your Business?
In a data-driven business climate, data is playing a key role in capturing market intelligence and “actionable insights” to augment business operations. Thus, Data Management platforms, tools, and associated technologies are increasingly getting a global focus. Two Data Management technologies have created controversies and have become the topic of hot debates: the data lake and […]
Artificial Intelligence Developments
During the long pandemic, the global population have consistently turned to artificial intelligence-powered technologies for their daily needs. Be it chat bots for uninterrupted customer service, drones for food and medicine delivery during a crisis, or mitigation of growing cyber attacks at the roots—AI has had a solution. As AI increasingly makes machines smarter, human […]
Fundamentals of Digital Twins
Digital twins can present a virtual replica of physical components, processes, or systems to enable improved understanding of the performance characteristics of such entities. With digital twins, industry operators can visualize, predict, and optimize the performance of individual components within a system or process, or the entire process from a remote location. According to Microsoft, […]
Digital Transformation Best Practices
The term “digital transformation” (DT) encompasses the holistic framework and the associated strategy designed for integrating technology, business processes, and employee effort to get the maximum value for business customers. In a digitized business model, the “customer journey” is the central focus. While creating the DT framework, the business operators develop business models that are […]
Data Science vs. Data Analytics
The data scientist and the data analyst represented two of the “most in-demand, high-paying jobs in 2021.” The previous year, the World Economic Forum Future of Jobs Report 2020 listed these jobs at the top of a list representing most in-demand jobs across industries. In data analytics, which is often referred to as business analytics, […]
How Does Data Management Drive Efficiency for Organizations?
Data-driven analytics continue to deliver sophisticated solutions for manufacturing efficiency, early disease detection, and smart capabilities building in workplaces. Thus, industry operators and leaders continue raise their expectations and demands from data technologies with every passing year. Brent Gleeson of Forbes, who regularly contributes about organizational excellence, warns that in spite of having the best […]
Maturing Business Intelligence with Data Governance
Data Governance (DG) ensures that enterprise data, the most valuable business asset, is preserved and used in the most efficient and safest manner. That said, Data Governance puts immense demands on organizational policies, processes, technologies, and lastly on accountable staff to develop an executable framework, from its core architecture to implementation stages. Enterprise Data Governance […]