CIO
MAY 30, 2024
Generative AI is poised to disrupt nearly every industry, and IT professionals with highly sought after gen AI skills are in high demand, as companies seek to harness the technology for various digital and operational initiatives.
CIO
JANUARY 19, 2024
Data science certifications give you an opportunity to not only develop skills that are hard to find in your desired industry, but also validate your data science know-how so recruiters and hiring managers know what they get if they hire you. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024.
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CIO
APRIL 9, 2024
Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. We just came out of the gates fast, and we just kept solving problems,” the CIO says, noting that his team was experimenting with Azure LLMs before they were on the market. “We
Mentormate
MAY 31, 2023
In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. Here, we will primarily focus on drawing insights from structured and unstructured (text) data.
CIO
MAY 5, 2023
Generative AI such as ChatGPT has of late captured the imagination of business leaders across industries. CarMax was at the forefront of embracing generative AI responsibly in partnership with Microsoft and has been a successful industry disrupter that has transformed the process of buying a used car.”
CIO
JULY 27, 2022
It was a modest start but today we spend almost 10 times more than in 2014 on the Azure Cloud subscriptions. Cloud is the way to go but it depends on the industry and the region. What would be your parting shot to other Africa-based enterprises looking to adopt cloud, AI and machine learning?
Altexsoft
JULY 23, 2020
When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.
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