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 […]
The Future of Blockchain
The media focus around blockchain over the last five to ten years has shifted from the currency bitcoin to the underlying database technology, which is a distributed ledger technology(DLT), now used in a wide variety of use cases. So, what is the reason behind blockchain suddenly gaining so much traction? McKinsey Report’s Blockchain’s Potentials, Limitations, […]
Advanced Analytics Use Cases
Modern self-service analytics platforms empower the ordinary business user by bringing advanced analytics tools to their desktop. The business user today does not require the help of a technical team member to discover trends and patterns, to make accurate predictions about the future, or to drive a data-driven culture in the organization. Kartik Patel points […]
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 […]
Enterprise Analytics Trends
Evan Terry, Chief Analytics Officer at Velocity Mortgage Capital said that enterprise analytics technology is increasingly sophisticated, due to machine learning, artificial intelligence (AI), and streaming analytics, but you can’t benefit from these advancements without a solid foundation. “There’s a real interplay there between the foundational and the advanced.” Terry discussed these interplays during his […]
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 […]
Data Science vs. Machine Learning vs. Artificial Intelligence
In the data economy, data is king. Today, any business — small, medium, or large — thrives on its data assets. The recent trend of offering data-driven insights as a service to the outside world has opened up a profitable revenue channel for businesses. Cloud computing and hosted analytics have brought data-as-a-service to the desktops […]