New Frontiers for the Enterprise Service Bus Important advances in Business Intelligence (BI) in conjunction with advances in technology continually increase the need for integration of systems within all enterprises today. Enterprise resource planning (ERP) application, to name one example, now consist of numerous component technologies such as analytics performance tools, IoT sensors and event […]
8 Workflow Benefits of an AI/ML Infrastructure You Should Know About Technology is advancing at a rapid pace. If they want to remain competitive in any niche, businesses have to face tough decisions. Should you adopt the new tech or stay true to your legacy solutions? One of the most sensitive business aspects of technology […]
Five Ways Apache Cassandra is Designed to Support Machine Learning Use Cases Organizations across verticals have figured out that the answer to most of the challenges they face lies in analyzing data, using it in forecasts, and leveraging it to make the decision-making process efficient. There’s only one thing that can help organizations use data […]
Episode II on AI in Automotive: Operationalizing ML in Autonomous Vehicles In the previous installation of this series, The World of Autonomous Vehicles, we surveyed the levels of autonomy, the sensors driving autonomous vehicle applications, and the current market. In this iteration, we will dive deeper into the machine learning algorithms used to deploy autonomous […]
Why ML Ops Is Increasingly Relevant in Today’s Enterprise Environment Machine learning is one of the most exciting new technologies that could change the world. We’re already seeing machine learning and artificial intelligence being deployed all around us, from automatic ATMs to customer service. Be that as it may, there’s no question that it’s integral […]
Federated Learning for IoT Artificial intelligence and machine learning, the titan technologies of the 21st century, have been around long before today. The first AI and ML solutions were developed far back in the 1950s, but they were nowhere near as sophisticated as today. These symbiotic technologies are on a trajectory of continual development, improvement, […]
The Bayesian Belief Network in Machine Learning Machine learning, artificial intelligence, big data – these up-and-coming technologies are practically buzzwords at this point. They show more promise to change the world as we know it than most of the things we’ve seen in the past, with the only difference being that these technologies are already […]
The Difference Between Adaptive ML and Traditional ML Machine learning is with us for quite a while now. Even though some people think it’s a relatively new concept, that’s not true. Beginning way back in the 50s, researchers and technicians struggled with ML for almost 40 years when they came to significant breakthroughs during the […]
How to Use Machine Learning in Healthcare Healthcare is one of the biggest industries in the world. The average life expectancy has increased dramatically in the past century, and that’s in no small part due to the technological advancements that enable it. While the technology has substantially advanced since the olden days, new solutions such […]
How To Use Machine Learning in Finance To say that finance is a precise, tricky, and complicated industry would be a massive understatement. That’s why industries such as finance excel when it comes to precision, and machine learning takes out the possibility of human error, which accounts for a lot of mistakes when it comes […]