The journey of data analytics began with simple descriptive (review of past events) and diagnostic (analysis of past events) exercises and moved to the more sophisticated predictive and prescriptive genres,where advanced data models have enabled accurate future forecasts and actionable intelligence. And now cognitive computing has further strengthened the actionable predictive power of the machines […]
Hybrid Cloud vs. Multi-Cloud Architectures
The workloads (applications) running on an enterprise hybrid or multi-cloud network determine the architectural requirements. All cloud architectures share some common patterns, while the specifics of running workloads necessitate custom architectures. The architecture patterns are broadly of two types: “distributed-deployment” pattern and “redundant-deployment” pattern. In the former, an application runs in an environment best suited […]
Data Architecture and Data Science: What is the Intersection?
Data Science, in practice, should ultimately combine the best practices of information technology, analytics, and business. On the other hand, Data Architecture enables data scientists to analyze and share data throughout the enterprise for strategic decision-making. Thus, without a sound Data Architecture in place, data scientists will remain severely handicapped in their abilities to develop […]
Business Intelligence and Analytics Trends in 2020
The general pattern of technology upgrades in Enterprise Analytics & Business Intelligence that occurred in 2019 signaled the emergence of some specific types of analytics: smart, real-time, augmented, and conversational. These trends will continue growing well into 2020 and beyond. Also included in that list are: Smart devices and multi-channel data will require smart analytics […]
Data Strategy vs. Business Strategy
For any transformational Business Strategy, data-driven intelligence must be “readily accessible, interpretable, and actionable” whenever necessary. At the macro level, a data-driven culture has to be consciously propagated throughout the organization, end-to-end. Digital businesses have acknowledged the importance of data accessibility and have embraced this culture within their business model to remain competitive. The late […]
Data Science Trends in 2020
The exponential growth of data, partly generated by sensor-driven devices, is making Data Science and machine learning (ML) market differentiators in global business-analytics solutions. With the rising demand in Data Science and ML skills, 2020 may well be a witness to several new trends in the field. According to IDC: “[I]f our digital universe or […]
Artificial Intelligence and Machine Learning Trends in 2020
“Artificial Intelligence and Machine Learning have reached a critical tipping point and will increasingly augment and extend virtually every technology enabled service, thing, or application.” – Gartner An article on the future of AI and machine learning mentions that while cloud technology offers “agility to business processes,” artificial intelligence (AI) and machine learning (ML) technologies […]
Data Governance and the Digital Information Repository
Digital libraries or information repositories such as Wikipedia are driven by a carefully governed Data Architecture, which provides anytime, anywhere, any topic access to these vast information resources. Data Governance policies related to Data Quality, ownership, stewardship, roles, and responsibilities are executed through the use of “metadata,” which provides context to data. Without metadata, even […]
Challenges of Data Quality in the AI Ecosystem
Artificial intelligence (AI), encompasses the broad fields of data capture, data storage, data preparation, and advanced data analytics technologies. In other words, AI systems are not limited to a single aspect of Data Management; rather, they are increasingly penetrating any and every aspect of business through allied data technologies like machine learning (ML), deep learning, […]
Data Management Trends in 2020
Data Management will remain a differentiating business practice over the next several decades. Business competitors will be forced to contend with each other based on their Data Management strategies when all other strategic advantages are exhausted. The rise, growth, and tremendous potential of advanced data technologies have now rendered Data Management one of the most […]