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How Hybrid and Cloud-Based Architectures are Unlocking the Power of Data

It takes vision, purpose, and skill to unlock the power of data. It also takes the right strategy. For ExxonMobil, Ares Trading (Merck), and the University of California San Diego (UCSD), the right strategy is taking full advantage of the cloud. All three organizations have partnered with Cloudera, leveraging a hybrid or cloud-based architecture to improve the lives of the people who depend on their organizations’ data.

A Glimpse Into How AI Is Modernizing Data for the Financial Services Industry

Organizations in the financial services sector face a unique set of challenges as they consider how to wrangle and process the vast amount of data they collect. During our Financial Services Summit, I was lucky enough to speak to Brian Anthony, chief data officer for the Municipal Securities Rulemaking Board (MSRB), to learn how the MSRB is integrating technologies such as artificial intelligence (AI) and machine learning to modernize its data.

Keboola vs Azure Data Factory: The 8 critical differences

ETL pipelines help companies extract, transform, and load data so it is ready to provide insights and value to the company. But running a smooth data operation depends on building reliable and scalable data ingestion pipelines. SaaS vendors like Keboola and Azure Data Factory take away the heavy lifting.

In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. We need to get to the root of the problem. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI.