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Swiss Vault is bringing hyperscaler power to everyone - DataScienceCentral.com
The future of data infrastructure with Bhupinder Bhullar, CEO of Swiss Vault. Discover how Swiss Vault’s breakthrough Vault File System delivers enterprise-grade storage performance, unmatched resilience, and ultra-low energy consumption, all in a compact, affordable form factor. From automated file healing and global data distribution to petabyte-scale servers that fit in a briefcase, Swiss Vault is redefining what’s possible for data storage at the edge and beyond. Whether you're running a hospital, a research lab, or a rural data center, this episode shows how hyperscaler capabilities are finally within reach.
A tech debt fighting champion for developers - DataScienceCentral.com
Technical debt occurs when best practices are ignored as IT solutions are built. In a survey of 500+ IT pros conducted by CompTIA, approximately three-quarters said technical debt is a challenge at their organizations, with 42% calling it a significant obstacle. Although it’s a widespread problem, this doesn’t make it any more palatable or less… Read More »A tech debt fighting champion for developers
Empowering cybersecurity product managers with LangChain - DataScienceCentral.com
Introduction The cybersecurity landscape is experiencing unprecedented transformation as organizations scramble to integrate artificial intelligence and machine learning capabilities into their security solutions. For product managers navigating this complex terrain, the challenge is particularly acute: how to harness the power of AI without getting bogged down in technical implementation details that can derail product strategy… Read More »Empowering cybersecurity product managers with LangChain
Ranking GPT-5 against LLMs - DataScienceCentral.com
AI benchmarks have created a false impression about how to evaluate AI models: test AI for complex questions that several humans can’t answer. Even if AI does well, they conclude that AI has not matched vital human intelligence. If AI gets things right that several humans would — on average — not get right, should that… Read More »Ranking GPT-5 against LLMs
Data quality for unbiased results: Preventing AI-induced hallucinations - DataScienceCentral.com
Artificial Intelligence (AI) has revolutionized and will continue to transform many customer-facing industries. AI-powered business applications offer tangible value to customers and business operations alike. However, there are substantial risks to AI adoption. Large Language Models (LLMs) built on partly biased data or modeling have shown how hallucinations can lead to negative business outcomes (A.… Read More »Data quality for unbiased results: Preventing AI-induced hallucinations
FinOps and the need for straight talk - DataScienceCentral.com
FinOps is about bringing together leaders in business, technology, finance, and engineering to gain a clear understanding of, and better control over, cloud spend (and associated expenditures). Naturally, FinOps aims to bring this same level of financial awareness to DevOps, which shares a similar emphasis on streamlining software development. However, with FinOps, critical cost issues… Read More »FinOps and the need for straight talk
How graph thinking empowers agentic AI - DataScienceCentral.com
Agentic AI systems are designed to adapt to new situations without requiring constant human intervention. These systems can provide tremendous benefits within many industries such as healthcare, supply chains, robotics, and autonomous vehicles. Neuro-Symbolic Knowledge Graphs (NSKGs) provide structured reasoning, contextual understanding, and long-term memory—critical elements for autonomous decision-making. By using NSKGs as the foundation… Read More »How graph thinking empowers agentic AI
Bridging the digital defense gap: Why cybersecurity education matters more than ever - DataScienceCentral.com
The global cybersecurity workforce shortage has reached a critical tipping point, with over 4.7 million roles unfilled. This article examines the systemic risk posed by escalating cyber threats and highlights how structured, assessment-driven cybersecurity education can close skills gaps, reduce human error, and strengthen digital infrastructure across sectors.
Why good data doesn’t guarantee good decisions - DataScienceCentral.com
It’s easy to assume that more data—or cleaner dashboards—will automatically lead to better decisions. But after working in product analytics at MAANG and top fintech companies, I’ve learned the hard way: the link between data and decision-making isn’t automatic. It’s something you have to design for. Even in data-rich environments, I’ve seen brilliant teams make… Read More »Why good data doesn’t guarantee good decisions
How AI is transforming financial forecasting for SMBs and enterprises - DataScienceCentral.com
Discover how AI is transforming financial forecasting for SMBs and enterprises from various industries. From real-time insights to predictive scenario planning, AI tools are helping companies improve accuracy, reduce risk, and adapt faster to market shifts.
Ethics-driven model auditing and bias mitigation - DataScienceCentral.com
Introduction Artificial intelligence (AI) and machine learning (ML) systems are becoming increasingly integral to decision-making processes across various industries, including healthcare, finance, education, law enforcement, and employment. The ethical use of these technologies becomes paramount. Ethics-driven model auditing and bias mitigation are essential for ensuring the fairness of AI systems. However, these systems can unconsciously… Read More »Ethics-driven model auditing and bias mitigation
Utilize machine learning to improve employee retention rates - DataScienceCentral.com
Employee turnover is one of the most pressing challenges modern businesses face. It drains resources, lowers morale and slows team momentum. Traditional HR tools like surveys and exit interviews often reveal issues after valuable employees have left. However, machine learning (ML) can detect patterns, forecast risk and deliver actionable insights based on real-time data. Analyzing… Read More »Utilize machine learning to improve employee retention rates
The hidden cost of over-instrumentation: Why more tracking can hurt product teams - DataScienceCentral.com
Stop tracking everything: Rethink your data strategy If you’ve ever opened a product analytics dashboard and scrolled past dozens of unlabeled metrics, charts with no viewers, and events no one can explain—welcome to the world of metric sprawl. In my roles at a MAANG company and a remittance fintech, I’ve seen product teams obsessed with… Read More »The hidden cost of over-instrumentation: Why more tracking can hurt product teams
Decentralized ML: Developing federated AI without a central cloud - DataScienceCentral.com
Introduction – Breaking the cloud barrier Cloud computing has been the dominant paradigm of machine learning for years. Massive data charts are uploaded on a centralized server, routed through a super-powerful GPU, and turned into a model that produces recommendations, forecasts, and inferences. But, what if there is not ‘only one way’? We live in… Read More »Decentralized ML: Developing federated AI without a central cloud
Revamping enterprise content management with language models - DataScienceCentral.com
The relatively recent capacity for front-end users to interface with backend systems, documents, and other content via natural language prompts is producing several notable effects on enterprise content management. Firstly, it reduces the skills needed to engage with such systems, democratizing their use and the advantages organizations derive from them. Natural language interfacing also enables… Read More »Revamping enterprise content management with language models
Unlocking the value of AI with DevOps accelerated MLOps - DataScienceCentral.com
As businesses embark on their AI transformation journey, it is essential for them to invest in a robust AI/ML infrastructure and technology stack. This investment is crucial for enabling efficient Machine Learning Operations (MLOps) and supporting the overall success of their AI initiatives.
AI skills for the modern workplace: A guide for knowledge workers - DataScienceCentral.com
While AI is being adopted across organizations, knowledge gaps still exist in using it mindfully and effectively in everyday tasks. These gaps present both a challenge and an opportunity, as AI increasingly becomes a key driver of productivity and efficiency within modern workflows. Lucid’s AI in the Workplace survey revealed an exciting optimism: 63% of… Read More »AI skills for the modern workplace: A guide for knowledge workers
5 challenges in implementing AI in video surveillance - DataScienceCentral.com
Artificial intelligence (AI) makes security cameras more versatile and useful. It can recognize suspicious behavior in real time, monitor video feeds to mitigate labor shortages and save clips of interest to streamline investigations. However, AI can also introduce or heighten surveillance concerns. Organizations hoping to capitalize on the benefits of AI in closed-circuit television (CCTV)… Read More »5 challenges in implementing AI in video surveillance
The future of DevOps: Using AI, automation and HPC - DataScienceCentral.com
Introduction DevOps has long been the backbone of modern software development, enabling faster development cycles and greater operational efficiency. It has been further advanced by integrating Artificial Intelligence (AI), automation, and accelerated computing, reshaping how organizations approach their workflows. We will cover the necessity of GPUs and HPC to stay competitive, how AI and automation… Read More »The future of DevOps: Using AI, automation and HPC
How generative AI is reshaping traditional QA strategies - DataScienceCentral.com
Software development cycles accelerate constantly, pushing quality assurance teams to keep pace. However, the pressure engineering leaders face to ensure quality under the speed and complexity modern pipelines require is also immense. And simply doing more of the same old way of things isn’t enough with the advancing user demands. Interestingly, while much of the… Read More »How generative AI is reshaping traditional QA strategies