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 […]
Demystifying Metadata Management
As advanced analytics becomes a prominent driver of revenue in the data-driven age, technologies are needed to help provide a context to data. Business leaders and the global Data Science community have realized that businesses need appropriate technology to comprehend the context of business data. In addition to Data Governance, the Data Management strategy that […]
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. […]
Data Governance and Streaming Analytics
Data volumes are continuing to grow and the use of streaming analytics therefore is becoming even more widespread, so many companies are beginning to realize that existing Data Governance practices must also evolve to remain relevant. “More is being asked of an organization’s governance platform than ever before,” says industry insider Robert Chernesky, about the […]
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 […]
Data Science vs. Business Intelligence
The growth of Data Science in today’s modern data-driven world had to happen when it did. If one really takes a careful look at the growth of data analysis over the years, without Data Science, traditional (descriptive) Business Intelligence (BI) would have remained primarily a static performance reporter within current business operations. With the rising […]
Metadata Management and Analytics: What is the Intersection?
Metadata Management implies a set of activities, which administer data for better usage and outcomes. Thus, this practice involves establishing stringent roles, responsibilities, policies, and processes to ensure that data-driven information is available, accessible, sharable, and maintainable across an organization for the best analysis and application of such information in daily business. In that sense, Metadata […]
The Evolution of Data as an Asset
From an Afterthought to a Core Business Asset: The Journey of Data In recent years, the phenomenal growth of connected devices and advanced data technologies, along with the availability of affordable data storage, transfer, and processing capabilities, has enabled businesses to gain competitive intelligence on demand.Despite recognizing the strategic potential of data, many businesses face […]