Data Lakes are consolidated, centralized storage areas for raw, unstructured, semi-structured, and structured data, taken from multiple sources and lacking a predefined schema. Data Lakes have been created to save data that “may have value.” The value of data and the insights that can be gained from it are unknowns and can vary with the […]
The Future of Deep Learning
Deep learning (DL) became an overnight “star” when a robot player beat a human player in the famed game of AlphaGo. Deep learning training and learning methods have been widely acknowledged for “humanizing” machines. Many of the advanced automation capabilities now found in enterprise AI platforms are due to the rapid growth of machine learning […]
The Art of Data Extraction
To be a data-driven business, companies need data. A lot of data. They have plenty of data in-house to work with, of course — their customer and sales data, data they get from their subscriptions to third-party data providers, and so on. But what about all that data on the web? Sourcing data from the […]
2019 DATAVERSITY Top 20
It is once again time to look back and evaluate the struggles and successes of the previous year and then build those lessons into the year to come. Part of how we do that here at DATAVERSITY is to look at the content consumed by the community over the year and evaluate what was hot […]
Case Study: Crisp Video Finds Confidence in Cost-Effective Cloud Storage
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 […]
Deep Neural Networks, Big Data, AI, and the Road to Autonomous Systems
Autonomous driving – green light, red light, or yellow? Earlier this year Tesla CEO Elon Musk said the future is now. By the middle of 2020, he said at an event for investors, Tesla’s autonomous system will have improved to the point where drivers will not have to pay attention to the road. He revealed […]
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, […]
IoT vs. Serverless Computing
The Internet of Things (IoT) describes an interconnected network of physical and digital devices, sensors, mechanical components, and communication protocols with the ability to transfer and exchange data machine-to-machine or machine-to-interactions. The serverless computing model is cloud-based and all its resources are managed by the service provider. The client is charged based on the consumption […]