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Data Governance in the Cloud

IT center, on-premise infrastructure is becoming increasingly complex and costly, and requires highly skilled manpower, so businesses are now moving their IT and Data Science functions to the cloud. Cloud computing promises low-cost storage facilities, 100 percent up-time, managed services, and automated analytics and BI services, leaving the businesses to concentrate on their domain expertise […]

Citizen Data Scientists: Where Do They Belong?

The phenomenal growth of data technology in recent years has led to the rise of the citizen data scientists (CDS).   Developments in augmented analytics and artificial intelligence (AI) automation have now made it possible for ordinary business employees to conduct advanced analytics or business intelligence (BI) which would have required expert knowledge even some years […]

Fundamentals of Self-Service Business Intelligence

It’s clear that there is considerable recent market movement towards self-service business intelligence (SSBI) in the numerous vendor offerings available. There is also a growing concern among the Data Science community that ordinary business users may misunderstand or misinterpret the available data, leading to incorrect results. Experienced data scientists have a tremendous ability to analyze, […]

Scaling Machine Learning Applications

When the number of users for a predictive model grows, it is expected (albeit often wrongly) that the machine learning powered systems will automatically scale to keep up with this growth. If the system fails to scale, processing requirements may outpace performance. Using an example from a LinkedIn article, a sample recommender system fails to […]

Blockchain Use Cases

Blockchain, which is akin to a distributed and decentralized accounts ledger, can record and verify high volumes of digital transactions, irrespective of location. So, blockchain has the capacity to contribute to many industry sectors, besides finance. As a secure technology platform, blockchain’s main benefits are accuracy, protection against fraud, and easy sharing of information. The […]

Challenges for Data Governance and Data Quality in a Machine Learning Ecosystem

The high availability of data, enhanced computing power and advanced Data Science technologies together make a lethal combination for data-driven outcomes. With the open data economy just around the corner, well-tuned Data Governance capabilities will be the goal of most businesses. Current Data Management practices are focused on risk free data sharing and regulatory compliance. […]

Fundamentals of AIaaS and AIPaas (AI-as-a-Service and AI Platforms-as-a-Service)

There are many factors that have started making businesses restless and eager to dive into the newest intelligent technologies for their Data Management practices. The business operators have sighed with relief knowing that they no longer have to engage dedicated talents for advanced model development or cloud infrastructure planning. The idea of “managed (hosted) Data […]

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