Understanding the Multi-Cloud Idiom: Containers, High Availability, and Data Virtualization

The inexorable march of the enterprise to the cloud is underpinned by the multi-cloud tenet which, when involving hybrid clouds, enables organizations to seamlessly access resources between various clouds as well as on-premise settings. According to Denodo Director of Product Marketing Saptarshi Sengupta, a relatively recent survey regarding enterprise cloud habits indicates multi-cloud adoption is […]

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How AI Has Changed Over the Years: Advances, Challenges & More – Hear from Denis Rothman, AI Expert

We thank Denis Rothman for taking part in the Data Science Interview Series. Denis Rothman is an Artificial Intelligence Expert and is the author of several popular books such as Transformers in Natural Language Processing, and Hands-On Explainable AI. In this interview, Denis Rothman shares his academic background and research interests. He also shares valuable

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The Next Wave of Cloud Computing: The Influx of Blockchain

The similitude between the cloud’s most pronounced enterprise advantages and those of blockchain is too great to ignore. Both are credible means of storing data. They also excel at exchanging data remotely, facilitating multi-party collaborations, and doing so securely. So why are cloud adoption rates soaring while enterprise adoption rates of blockchain remain modest? According

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Data Governance for Data Science: The Growing Concern

Once, data science was an untamed, emergent discipline without rules, restrictions, or repercussions. Organizations simply wanted accurate advanced analytics; those fortunate enough to procure scarce data scientists gave them boundless freedom in their sandboxes to manipulate data to achieve that end. Nonetheless, the maturation of data science over the past 10 years has paralleled that

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Connecting the Business to Data Science with ModelOps

The inner workings of data science—much like that of multi-parameter, opaque machine learning models—have traditionally been an enigma to the average business user. While the latter simply desires accurate predictions to do his or her job better, how exactly cognitive computing aids this objective, and if it actually is doing so, has rarely been clear

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Impact of AI on the Evolution of the Procurement & Supply Chain Organizations

(originally published May 2021) In March 2015, Ardent Partners published their annual CPO Rising study. That year, the study announced an official shift into the next phase of evolution from a Strategic to an Agile procurement organization.  The top three (3) priorities for Chief Procurement Officers in 2015 were: 1.      Improve collaboration within the lines

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