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 […]
Data Science Trends in 2019
When it comes to major Data Science trends to watch in 2019, the co-founder and CEO of Kaggle, Anthony Goldbloom, has predicted that very soon Data Centers will be replaced by departmental or business-specific Data Science teams. As discussed in Data Science Trends in 2018, last year’s major trends continued from 2017 as the growth […]
The Future of NLP in Data Science
According to many market statistics, data volume is doubling every two years, but in future this time span may get further reduced. The vast portion of this data (about 79 percent) is text data. Natural Language Processing (NLP) is the sub-branch of Data Science that attempts to extract insights from “text.” Thus, NLP is assuming […]
Data Management Trends in 2019
The sudden growth of business data in recent years due to streaming data technologies and Internet of Things (IoT), Mobile, and Big Data pipelines, has businesses struggling to put better Data Management practices in place. Organizations are constantly in search of advanced data collection and storage, Data Management, Data Governance, and Data Security platforms. Why […]
Business Intelligence and Analytics Trends 2019
In 2019, Advanced Analytics capabilities with minimal manual efforts will remain the hallmark of all competitive Business Intelligence solutions. The Business Application Research Center (BARC) 2018 Business Intelligence Survey indicates that the global BI solutions market is slated for major technological changes. The primary technology initiatives that BI users can expect in 2019 are Cloud BI deployments, BI […]
Data Strategy and Machine Learning: How Do They Intersect?
With the tremendous growth of business data in terms of volume, size, and complexity, it is imperative that global enterprises develop a strong Data Strategy to address their core business needs. However, a realistic Data Strategy has to incorporate a clear road map with milestones, so that strategy documents do not end up as digital […]
Analytics vs. Data Discovery
Newer and faster data channels are enveloping the digital business landscape, so business operators and users are becoming more demanding about what they want from their data. Now, the traditional Business Intelligence (BI) platforms are no longer sufficient to address all types of business queries; users are increasingly looking toward the Data Discovery capabilities of […]
The Future of Machine Learning and Artificial Intelligence
Artificial Intelligence (AI) and associated technologies will be present across many industries, within a considerable number of software packages, and part of our daily lives by 2020. Gartner has also predicted that by 2020, AI will become one of the top five investment priorities for at least 30 percent of Chief Information Officers. Global software […]
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. Metadata Management: The Promise of Context-Driven Data In addition to […]
The Data Scientist of the Future: What Will They be Doing?
As data continues to rise in volume and variety, and businesses grow more data-centric, the decision-making power of advanced algorithms is now openly welcome in enterprises of all sizes. Now, the average business user is not affected even if a knowledgeable Data Scientist is not around. Today, technology innovations are increasingly empowering the ordinary staff […]