The last thing a manager wants to think about before falling asleep at night, is whether the customer data archived yesterday will be there tomorrow. Who knows when a client will come back years after project completion and ask for the video created back then? A supervisor needs confidence that data is automatically archived in […]
Semantic Web and Semantic Technology Trends in 2020
One way or another, it’s all about graphs. And machine learning. And AI. And what their connections to each other are. Welcome to the world of semantic technology in 2020. The year ahead largely picks up the pace on what industry experts predicted would happen in 2019. Graph technologies have finally become mainstream, says Andreas […]
Database Management Trends in 2020
In 2020, database management will be a mosaic of old and new technologies. Many people have already implemented relational databases or data warehouses — 86.55 percent — according to the recent DATAVERSITY® Trends in Data Management Report. It will not be hard to see why data warehouses will continue heavy usage in 2020. They integrate […]
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 […]
The Many Dimensions of Data Quality
Data can be anywhere. Companies store data in the cloud, in data warehouses, in data lakes, on old mainframes, in applications, on drives — even on paper spreadsheets. Every day we create 2.5 quintillion bytes of data, and there are no signs of this slowing down anytime soon. With so much available for data-driven decisions, […]
Cloud Computing and Cloud Architecture Trends in 2020
Use of the cloud has grown significantly. Cloud computing has become so popular, many startups are taking a “cloud-first” approach (the deliberate practice of considering use of the cloud first). The cloud offers tools, data, and scalable computing power that would be difficult to access in other ways. Cloud architecture, whether it be public, private, […]
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 […]
Case Study: Big Data Analytics Advance Sutton Bank Forward
Sutton Bank is an FDIC-regulated, Ohio state-chartered bank. They have been in the payment business about 20 years, specifically in the prepaid space. Jeff Lewis, Senior Vice President of Payments and Prepaid Card Services at Sutton Bank, says that payment and card services are an increasingly popular offering for financial institutions, provided they can keep […]
The Challenge of Scaling Transactional Databases
Generally speaking, databases are storage systems with various built-in software features to manage the movement of data within. A database management system (DBMS) describes software controlling other programs and applications. The creation and implementation of a well-designed database is a serious challenge. With the evolution of data volumes and constantly changing needs, new types of […]