The media focus around blockchain over the last five to ten years has shifted from the currency bitcoin to the underlying database technology, which is a distributed ledger technology(DLT), now used in a wide variety of use cases. So, what is the reason behind blockchain suddenly gaining so much traction? McKinsey Report’s Blockchain’s Potentials, Limitations, […]
The Data Analysts of the Future: What Will They be Doing?
The need for citizen data scientists — people who can use real-time, data-powered insights — will be on the rise with the widespread availability of data and AI-enabled, self-service analytics platforms. So, the best job of the century may be at risk. Smart machine learning algorithms can analyze and interpret data, and even produce content […]
Data Governance and Data Discovery: Enabling Data Regulation Implementation
Businesses are continuously striving to leverage data-driven insights or competitive intelligence, the concept of developing an organizational “data culture” will gain prominence. Data and data analytics will continue to play key roles in global businesses of the future. According to the article Why Data Culture Matters: “Organizational culture can accelerate the application of analytics, amplify […]
Data Strategy and Serverless Computing: How Do They Work Together?
Businesses need a strong Data Strategy to manage vast amounts of data, drive innovation, develop a data culture, and to maintain a competitive advantage. Though cloud environments offer fast, high-volume data collection and scalable storage space; machine learning-powered data preparation; AI-enabled analytics; data backup and recovery facilities — leaving the developers free to pursue coding. […]
Data Governance and Machine Learning
Top management are pressuring their organizations to adopt advanced AI-enabled solutions, so Data Management challenges continue to mount on technology teams. The technology decision-makers are increasingly realizing that without a firm Data Strategy provisioning enterprise-wide supply of data on demand, machine learning and AI adoption will remain just a buzz. For most businesses today, this […]
Data Governance and Data Quality Use Cases
Given the high volume of erroneous data floating across the enterprise, it is increasingly difficult for industry operators to make business decisions or plan any course of action based on such poor-quality data. Moreover, what’s the point of applying advanced analytics or BI technologies on data that is flawed? A whitepaper titled Getting Ahead of […]
Data Governance and Data Science: What is the Intersection?
With the rising concern surrounding the manipulation of data and misuse of statistical methods in Data Science, it is becoming imperative that strong Data Governance policies and practices are put in place to curb any degeneration of data and the scientific methods used to arrive at data-driven conclusions. Data Governance (DG) is expected to play […]
How Will Future Data Scientists Augment Machine Intelligence?
Our future will rely on advanced technologies like Data Science (DS) and machine learning (ML). These technologies not only enable people to convert machine language into comprehensible human language and improve images, but they also help us understand past incidents, shape the present outcomes, and accept the inevitability of future events. The future potentials lie […]
The Data Fabric: An Innovative Data Management Solution
Business leaders are facing market pressure to extract value from their data pipelines within the constraints of limited budgets, time, and skills. Data is so diverse and massive it poses constant management challenges to business operators. Moreover, as it steps out of firewalls, business data now raises fresh security concerns for all businesses. In such […]
Data Modeling in the Machine Learning Era
Machine learning (ML) is empowering average business users with superior, automated tools to apply their domain knowledge to predictive analytics or customer profiling. The article What is Automated Machine Learning (AutoML)? discusses a prediction that by 2020, augmented analytics capabilities will play a key role and be a “dominant driver” in the growth (and purchase) […]