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Best practices for vector database implementations: Mastering chunking strategy - DataScienceCentral.com
Although numerous vendors gloss over this fact, there’s much more to reaping the enterprise benefits of generative AI than implementing a vector database. Organizations must also select a model for generating their vector embeddings; shrewd users will take the time to fine-tune or train that model. Additionally, as part of creating those embeddings, it’s necessary… Read More »Best practices for vector database implementations: Mastering chunking strategy
Current state of machine learning and intelligent systems - DataScienceCentral.com
Join host Dan Wilson as he sits down with Dr. Andrea Isoni, Chief AI Officer at AI Technologies and an expert in AI standardization, to discuss the biggest trends shaping the future of artificial intelligence.🔍 In This Episode, We Cover: The new ISO 42001 standard and why AI regulations are critical How specialized AI models (like DeepSeek Coder & Code Llama) are transforming industries The black box problem and why AI still lacks true explainability The hype vs. reality of agentic AI – Are we really ready for autonomous AI? The AI compute bottleneck – Why the U.S. has 3,000+ data centers while most countries have fewer than 300 The rise of hybrid AI architectures (Mamba, Mixture of Experts) and what they mean for the next wave of AI This conversation is a must-watch for AI developers, business leaders, and anyone who wants to stay ahead of where AI is really going in 2025! Listen Now & Subscribe for More AI Insights! Watch the full episode here: [Insert Video Link] Don’t forget to like, comment, and subscribe for more AI deep dives!
Will AI Lead to the Disintermediation of Knowledge? - DataScienceCentral.com
Key Blog Points: For decades, organizations have operated under the central assumption that knowledge flows downward. Senior leaders, industry veterans, and domain experts have traditionally been the primary gatekeepers of critical information. Their insights, honed over years of experience, have been the cornerstone of strategic decision-making. Enter artificial intelligence (AI). Many folks are concerned that… Read More »Will AI Lead to the Disintermediation of Knowledge?
Precision agriculture powered by AI for climate-resilient crops - DataScienceCentral.com
AI in Agriculture Precision Farming AI-Powered Agriculture Climate-Resilient Crops Sustainable Farming Practices AI for Pest Control AI for Soil Analysis Machine Learning in Agriculture Smart Farming Solutions IoT in Agriculture Crop Monitoring with AI Predictive Analytics in Farming AI for Weather Prediction in Agriculture AI-Driven Precision Irrigation AI in Fertilization Optimization Sustainable Agriculture Technology Advanced Farming Techniques Agriculture Data Analysis with AI AI-Powered Smart Irrigation Agricultural Innovation with AI
Transformational Power of Marginal Propensity to Reuse Undermined by Siren of One-off AI Projects - DataScienceCentral.com
In the world of physical assets, the more something is used, the more it depreciates—it wears out, loses value, and eventually needs to be replaced. But in the digital economy, the opposite is true. Welcome to the Marginal Propensity to Reuse (MPR). I introduced MPR in the blog “Mastering the Data Economic Multiplier Effect and… Read More »Transformational Power of Marginal Propensity to Reuse Undermined by Siren of One-off AI Projects
Python vs R for data science: Which should you choose? - DataScienceCentral.com
Welcome to another comparison article where you will understand the features, intricacies, pros, and cons of two different stacks of the information technology industry. Today’s comparison blog is especially for data scientists who spend their day and night with datasets, insights, trends, and analysis of many other factors. From a long list of skills that… Read More »Python vs R for data science: Which should you choose?
Mastering GenAI contextual continuity – Part 2: Farming example - DataScienceCentral.com
In the blog “Driving Relevant GenAI / LLM Outcomes with Contextual Continuity,” I introduced the concept of contextual continuity as a technique for getting your Generative AI tools like ChatGPT or CoPilot to deliver more relevant and accurate responses. Contextual Continuity refers to the ability of a Generative AI (GenAI) system, such as ChatGPT, to… Read More »Mastering GenAI contextual continuity – Part 2: Farming example
Underpinning advanced machine learning models with GPUs - DataScienceCentral.com
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. Graphics… Read More »Underpinning advanced machine learning models with GPUs
Leverage a value-creation framework to unleash GenAI innovation - DataScienceCentral.com
Note: there is a gift for those who read to the end of this blog. “If you don’t know where you are going, any road will get you there.” – Lewis Carroll. Generative AI tools like ChatGPT and CoPilot are revolutionizing how businesses and individuals approach decision-making. However, even the most advanced tools require a… Read More »Leverage a value-creation framework to unleash GenAI innovation
What is data engineering – Common challenges and solutions - DataScienceCentral.com
Enterprises and businesses are bound by a vast amount of digital data and traditional methods do not imply any longer. That’s where data engineering services form the foundation to manage data-driven enterprises with designing, constructing, and maintaining the support systems and infrastructures. Data engineers have the expertise to manage data sets in bulk in real-time.… Read More »What is data engineering – Common challenges and solutions
AI, medications and transmitters in the synaptic cleft - DataScienceCentral.com
How does the mind regulate the body? Why is it easier, in general, to eat than to exercise? How does the mind determine when a function is ready, or its level of operation or completion in an instance? Conceptually, there are configurations for various functions of internal senses, defining the limits and the extent of their… Read More »AI, medications and transmitters in the synaptic cleft
Digital Twins in manufacturing: Revolutionizing production and maintenance - DataScienceCentral.com
Digital Twins technologies are virtual replicas of physical assets that help streamline processes or systems that mirror real-time data and operational conditions. They provide solutions using Artificial Intelligence technology. In this article, we will discuss the influence of Digital Twins and AI In manufacturing in terms of how they are revolutionizing production and maintenance by… Read More »Digital Twins in manufacturing: Revolutionizing production and maintenance
AI alignment, safety more pivotal than fewer computing or low-cost training - DataScienceCentral.com
There are several schools that have had deepfake photo scandals. There are families that have been subjected to deception by AI voices of loved ones. There are several growing AI cybersecurity risks. There are misuses of AI that threaten processes and events, for which there are no answers yet. There are regulatory explorations that have… Read More »AI alignment, safety more pivotal than fewer computing or low-cost training
Big AI: Cloud infrastructure dependence and the industrialization of AI - DataScienceCentral.com
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… Read More »Big AI: Cloud infrastructure dependence and the industrialization of AI
How long until quantum computing is a real data security risk? - DataScienceCentral.com
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… Read More »How long until quantum computing is a real data security risk?
How to ensure data consistency in machine learning - DataScienceCentral.com
Machine learning enables systems to analyze data and make decisions without manual intervention. However, reliability hinges on the quality of the information they use. Data consistency ensures it remains accurate, uniform and reliable throughout the pipeline. Without coherence, models can produce flawed predictions and ultimately fail to deliver actionable insights. For businesses and researchers, prioritizing… Read More »How to ensure data consistency in machine learning
The role of AI in closing the skills gap in the business world - DataScienceCentral.com
Discover how artificial intelligence (AI) is revolutionizing workforce development and closing the skills gap in the digital economy. Learn about personalized learning, AI-driven recruitment, predictive analytics, and the future of work in an AI-driven era.
Revolutionizing Analytics with GenAI-Driven Simulation - DataScienceCentral.com
While much of the focus on using Generative AI (GenAI) has been to improve worker productivity with tools like OpenAI’s ChatGPT and Microsoft’s Copilot, GenAI offers so much more. I wrote about the expansive potential of GenAI to enhance your existing analytic models in my blog, “How to Transform Your ML Models with Generative AI.”… Read More »Revolutionizing Analytics with GenAI-Driven Simulation
The role of AI in fighting supply chain fraud - DataScienceCentral.com
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. What is supply chain fraud? The basic definition… Read More »The role of AI in fighting supply chain fraud
Deepgram builds and hosts ‘Voice AI’ models - DataScienceCentral.com
Most enterprise applications of Artificial Intelligence are predicated on understanding, and generating, natural language in the form of text. Deepgram, an AI platform for generating and understanding spoken and written language, is looking to expand this paradigm by making applications just as accessible—and adept at understanding natural language—for vocal deployments of speech. The startup’s platform… Read More »Deepgram builds and hosts ‘Voice AI’ models
What’s behind the AI adoption and hiring challenge in organizations? - DataScienceCentral.com
PickPik, royalty-free, undated Companies 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… Read More »What’s behind the AI adoption and hiring challenge in organizations?
Generative AI And Human-Robot Interaction: Implications And Future Agenda For Business, Society And Ethics
HRI and generative AI raise ethical and regulatory concerns. This paper explores the complex relationship between humans and generative AI models like ChatGPT. Along with rational empathy, personification, and advanced linguistics, the study predicts generative AI will become popular. However, these models blur human-robot boundaries, raising moral and philosophical issues. This study extrapolates HRI trends and explains how generative AI's technical aspects make it more effective than rule-based AI. A research agenda for AI optimization in education, entertainment, and healthcare is presented.
Securing Operational Technology (OT) with Zero Trust cybersecurity: A critical approach - DataScienceCentral.com
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… Read More »Securing Operational Technology (OT) with Zero Trust cybersecurity: A critical approach
Artificial general intelligence: What “general” really means - DataScienceCentral.com
Image by Oli Gotting from Pixabay While 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. AI’s value,… Read More »Artificial general intelligence: What “general” really means
Quantum computing’s status and near-term prospects (Part II) - DataScienceCentral.com
Image by Gerd Altmann from Pixabay Why today’s pre-quantum encryption now faces a Y2K scenario I had the opportunity to attend the Quantum to Business (Q2B) 2024 Silicon Valley event in December 2024, courtesy of Allie Kuopus, one of the organizers.This is the second post in a series on my main takeaways from the event.… Read More »Quantum computing’s status and near-term prospects (Part II)
Quantum computing’s status and near-term prospects - DataScienceCentral.com
Part I: Background and some indicators of how AI is helping IBM’s Quantum System 2 on display at the Q2B 2024 Silicon Valley conference in December (author’s photo) I had the opportunity to attend the Quantum to Business (Q2B) 2024 Silicon Valley event in December 2024, courtesy of Allie Kuopus, one of the organizers. It… Read More »Quantum computing’s status and near-term prospects
Best practices for managing large content libraries - DataScienceCentral.com
Learn practical tips to organize and manage your content library effectively. From content audits to CMS tools, discover strategies for optimizing, updating, and maintaining your content to improve performance and streamline your workflow.
Infrastructural necessities for building and deploying enterprise-scale AI - DataScienceCentral.com
Whether rendering sensitive datasets anonymous with synthetic data or simply facilitating ad-hoc question answering on a corpus of domain-specific knowledge, enterprise applications of AI are more sophisticated than ever before. What hasn’t changed, however, is the infrastructural necessities upon which these applications are built. Without the proper infrastructure, enterprise AI deployments become too time-consuming, resource-intensive,… Read More »Infrastructural necessities for building and deploying enterprise-scale AI
Agentic AI in motion: Smart command implementation for document management - DataScienceCentral.com
The synthesis of generative machine learning models and digital agents, which many have dubbed Agentic AI, may well prove the most advantageous development for enterprise-spanning deployments of Artificial Intelligence. The tandem of these technologies drastically extends the benefits they offer. The natural language understanding and generation of AI models are considerably enhanced by the action… Read More »Agentic AI in motion: Smart command implementation for document management
Optimizing data center energy consumption with predictive analytics - DataScienceCentral.com
Data centers are consuming a massive amount of power. The easiest solution is to raise temperatures, driving resource utilization down. However, that complicates hardware preservation and building upkeep. What if decision-makers could see into the future? Predictive analytics technology can help them find data-driven solutions among the noise, enabling energy consumption optimization. Here’s how that… Read More »Optimizing data center energy consumption with predictive analytics