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4 weeks ago | 
datasciencecentral.com | Zachary Amos |Manoj Kumar |Alan Morrison |Dan Wilson
AI chatbots seem to grow more advanced with each passing month. The idea of a computer handling ordinary tasks sounds great, but how do AI chatbots compare to human educators? Understanding the strengths and weaknesses of people versus machines in education allows administrators to make more informed decisions about when to invest in equipment and what areas today’s teachers excel in that robots likely never will.
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2 months ago | 
datasciencecentral.com | Jelani Harper |Zachary Amos
Although it’s rarely publicized in the media, not everything about deploying—and certainly not about training or fine-tuning—advanced machine learning models are readily accessible through an API. For certain implementations, the success of enterprise-scale applications of language models hinges on hardware, supporting infrastructure, and other practicalities that require more than just a cloud service provider.
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Jan 24, 2025 | 
datasciencecentral.com | Zachary Amos |Julian Durand |Alan Morrison
Quantum computing could do a lot of good for the world, but it also raises serious security concerns. Any technology that powerful could cause significant damage if cybercriminals get ahold of it, so cybersecurity professionals must prepare for a post-quantum future. But how much time do they have? The United Nations has labeled 2025 the Year of Quantum Science and Technology, reflecting the growing importance of understanding this field.
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Jan 22, 2025 | 
talentedlearning.com | John Leh |Zachary Amos |John Peebles |Jill Stefaniak
Is it me, or is this year already off to a ripping start? Maybe it’s because the world is more connected, and news cycles are more compressed. But especially since the rise of AI, each day we find more tech innovation to absorb. And as I recently noted in my 2025 LMS predictions, there’s no end in sight. Naturally as an industry analyst, I’m enthusiastic about the future and eager to move forward.
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Jan 21, 2025 | 
datasciencecentral.com | John Lee |Alan Morrison |Zachary Amos
The ‘cloud AI wars’ at major technology companies are intensifying (Goldman, 2022). Industry leaders say AI is transforming society. AI’s foundational and transformative nature is emphasised by Bill Gates (2023) and Alphabet’s Sundar Pichai (2023). Amazon, Microsoft, and Google are allegedly driving this transformation. Cloud computing has created the socio-technical infrastructure for expansive growth and platform capitalism, enabling their ‘hyper-scalability’ (Narayan, 2022).
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Jan 21, 2025 | 
datasciencecentral.com | Rob Turner |Jelani Harper |Zachary Amos
Image source: https://www.pexels.com/photo/man-in-black-jacket-using-black-laptop-computer-6693637/ Ensuring pay stubs are accurate is crucial – for both companies and employees. After all, errors in payroll can lead to financial losses, compliance issues, and even strained employee/employer relationships. This is where data science steps in. It is transforming the way businesses verify pay stub details. From spotting accidental errors to detecting fraud, its applications are varied and powerful.
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Jan 16, 2025 | 
datasciencecentral.com | Alan Morrison |Zachary Amos |Bill Schmarzo |Dan Wilson
Image by Oli Gotting from PixabayWhile generative AI and the evolution of large language models (LLMs) continue to capture the public’s imagination, it’s worth remembering that the vast majority of business data remains untapped. Even if it were suddenly made available, non-public data wouldn’t be available in a sharable or reusable form.
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Jan 15, 2025 | 
datasciencecentral.com | Alan Morrison |Zachary Amos |Bill Schmarzo |Dan Wilson
PickPik, royalty-free, undatedCompanies for a decade now have been thinking they have to adopt AI, or they’ll get left behind. But most still don’t acknowledge the nature or the depth of the real challenge they face. Ultimately, it’s not an algorithm or machine learning challenge. Instead, it’s a people, process, data resource and app rationalization challenge. The vast majority of enterprises are not using a divide-and-conquer approach to the challenge.
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Jan 14, 2025 | 
datasciencecentral.com | Zachary Amos |Bill Schmarzo |Dan Wilson |Alan Morrison
Artificial intelligence has proven itself a powerful tool for forecasting outcomes, analyzing datasets and enhancing insight extraction. But can it tackle a massive problem like supply chain fraud? Although its applications in fraud prevention are extensive, mitigation in an extensive, interconnected logistics system is another beast entirely. The basic definition of supply chain fraud is a fraudulent activity that occurs within logistics networks.
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Jan 14, 2025 | 
datasciencecentral.com | Julian Durand |Alan Morrison |Zachary Amos
In today’s digital landscape, securing Operational Technology (OT) has become a paramount concern for industries like manufacturing, energy, transportation, and utilities. OT refers to the hardware and software systems that detect or cause changes through direct monitoring and control of physical devices, processes, and events. These systems are essential for managing critical infrastructure and processes in industries that impact our daily lives.
