The Fourth Industrial Revolution, as an expression, was originally introduced by Klaus Schwab, the World Economic Forum’s Executive Chairman. He used it in a 2015 article published in Foreign Affairs. Mastering the Fourth Industrial Revolution became the World Economic Forum Annual Meeting theme a few years ago. The Fourth Industrial Revolution describes the fundamental changes […]
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 […]
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, […]
Smart AI Means Smart Data Prep
Every company wants to put artificial intelligence (AI) to work. Its potential seems limitless. Big business benefits at the snap of a finger. But then reality hits: the value that AI can deliver isn’t easy. Even IBM, a pioneer in the early age of AI (or AI’s rebirth if you want to trace it back […]
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 […]
The Challenges of Leveraging Big Data
Organizations from all over the world are gathering, analyzing, and evaluating huge data volumes from a large variety of sources, with the goal of increasing productivity and efficiency. Big Data Analytics is being used to stop credit card fraud, anticipate hardware failures, and reroute internet traffic to avoid congestion. Big Data technologies can improve network […]
Data Orchestration Brings Your Data Closer and Makes Access Faster
Data orchestration means trying to bring order and speed to a complex Big Data ecosystem, a conglomeration of storage systems like Amazon S3, Apache HDFS, or OpenStack Swift and computation frameworks and applications such as Apache Spark and Hadoop MapReduce. The data stack is fragmented and performance-challenged by a proliferation of data silos. The technology […]
It’s Time to Productionize Data Science
To make Data Science part of business value creation, business users have to be part of the Data Science lifecycle. They need to be able to go back to Data Science teams and provide feedback so that the Data Science process reflects their requirements — and quickly. Models may need to be updated or functionalities […]
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 […]