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Accounting for attention in speech-to-speech AI applications - DataScienceCentral.com
The quantum leap forward in natural language technologies attributed to foundation models, LLMs, and modern vocal applications of AI is due in no small part to the mastery of the concept of attention. When training and deploying the aforementioned models, attention mechanisms account for several things. One of the most valuable is allowing models to… Read More »Accounting for attention in speech-to-speech AI applications
Creative applications of AI in cinema - DataScienceCentral.com
Explore the future of AI in filmmaking with Dr. Patricia Beckmann-Wells, a visionary behind Disney and DreamWorks animation pipelines, now leading the charge in AI-driven virtual production. In this episode of the AI Think Tank Podcast, host Dan Wilson dives deep into creative applications of AI tools like Unreal Engine, MetaHuman, MidJourney, Meshy, and Runway ML. Discover how Patricia brings emotional storytelling to life with generative AI, 3D modeling, puppetry, and real-time rendering. Learn about her acclaimed book Face It and the powerful story behind her feminist horror-comedy, Mom Bomb. Perfect for filmmakers, animators, AI developers, and storytellers exploring the intersection of art and artificial intelligence.
Using FinOps to optimize AI and maximize ROI - DataScienceCentral.com
The rapid development and adoption of artificial intelligence (AI) has been incredible. When it comes to generative AI alone (GenAI), 65% of respondents in a recent McKinsey Global Survey said their companies regularly use the technology, doubling findings from just 10 months earlier. Moreover, three-quarters anticipate that in the years ahead, AI will bring significant… Read More »Using FinOps to optimize AI and maximize ROI
Exploring oversampling and under-sampling: Core techniques for balancing imbalanced datasets in ML - DataScienceCentral.com
Introduction This article will address this issue using resampling techniques such as over-sampling and under-sampling, which help balance datasets and improve model performance. This core technique for balancing imbalanced datasets in machine learning uses over-sampling and under-sampling in machine learning for the datasets where one class significantly outweighs others. This imbalance can lead to biased… Read More »Exploring oversampling and under-sampling: Core techniques for balancing imbalanced datasets in ML
Beyond the Box Score: Insights from Play-by-Play Announcers Enhance Entity Propensity Models - DataScienceCentral.com
In the blog “Economic Power of Entity Propensity Models Are Transforming the Game”, I talked about how my childhood fascination with the board game of Strat-O-Matic baseball fueled my interest in analytics and mastering the power of player-level Entity Propensity Models (EPMs). Since then, I have learned the critical role of EPMs as modern-day AI-driven… Read More »Beyond the Box Score: Insights from Play-by-Play Announcers Enhance Entity Propensity Models
How AI and data science startups can leverage venture capital and secondary markets - DataScienceCentral.com
Discover how AI and data science startups can leverage venture capital and secondary markets to secure funding, scale operations, and enhance liquidity. Explore key trends, alternative financing options, and the role of private equity marketplaces like Hiive.
Data science is key to securig biometric authentication systems - DataScienceCentral.com
Biometric authentication systems are one of the most widespread and accessible forms of cyber hygiene in consumer products, and they’ve gone beyond phone face scanners to include more advanced technology. Data scientists are interested in the myriad ways biometrics can secure information privacy and enhance authentication systems. How is this scanning technology making digital environments… Read More »Data science is key to securig biometric authentication systems
Entertainment Media & AI - DataScienceCentral.com
How is AI changing the entertainment industry? In this episode of the AI Think Tank Podcast, Larry Namer, co-founder of E! Entertainment Television, shares his insights on AI-driven content creation, Hollywood’s future, and the power of data sovereignty. We dive into AI’s impact on media, digital storytelling, and global entertainment markets, plus discuss Larry’s new book, Offscript.Topics Covered:✅ The rise of AI in Hollywood and how it’s reshaping content creation✅ How E! Entertainment was built from scratch and became a global phenomenon✅ The future of AI-driven marketing & storytelling in film and TV✅ Why data sovereignty & ethical AI are crucial for the media industry✅ Larry’s work in China, immersive entertainment, and next-gen content trends
Are data scientists obsolete in the agentic era? - DataScienceCentral.com
How AI agents are reshaping one of the most prestigious tech roles of the past decade In a corner office of a Fortune 500 company, a team of data scientists once spent weeks crafting algorithms to predict customer churn. Today, a business user without data science support can craft an AI agent to perform same… Read More »Are data scientists obsolete in the agentic era?
Re-rankers maximize vector database retrieval results - DataScienceCentral.com
There’s a really good reason almost every credible vector database—or enterprise application of this technology—incorporates re-ranking models, or re-rankers. It’s not just because these deep neural networks score vector retrieval engines’ results so they’re more useful for search and Retrieval Augmentation Generation (RAG). Quite simply, it’s because for most vector database use cases, no one… Read More »Re-rankers maximize vector database retrieval results
A/B Testing Pitfalls - Interview w/ Sumit Gupta @ Notion - DataScienceCentral.com
Unlock the secrets of A/B testing and AI-driven experimentation with Sumit Gupta, business intelligence engineer at Notion. In this episode of the AI Think Tank Podcast, Sumit shares expert insights on A/B testing pitfalls, attribution modeling, and how AI is transforming analytics and marketing. Perfect for data enthusiasts and business leaders!
Leveraging GenAI and LLMs in the insurance and reinsurance domains - DataScienceCentral.com
Abstract Large Language Models (LLMs) are a natural language processing tool under the category of generative artificial intelligence. They have the power to transform the insurance and reinsurance industries by improving a multitude of processes. While both sectors benefit from AI advancements, their distinct structures necessitate different applications of LLMs. This paper explores the role… Read More »Leveraging GenAI and LLMs in the insurance and reinsurance domains
How do AI chatbots compare to human educators? - DataScienceCentral.com
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… Read More »How do AI chatbots compare to human educators?
Davos World Economic Forum Annual Meeting Hightlights 2025 - DataScienceCentral.com
In this episode of the AI Think Tank Podcast, host Dan Wilson sits down with AI strategist and executive coach Egle Thomas to explore the biggest insights from the World Economic Forum Annual Meeting in Davos, Switzerland. They dive into the evolving role of AI agents, breakthroughs in robotics featuring Sophia the Robot, and the transformative potential of quantum computing across industries. Egle shares her first-hand experiences, from the shift in AI focus from possibilities to real-world integration, to the future of workforce transformation and the convergence of AI, creativity, and consciousness. It’s a deep dive into how emerging technologies are reshaping business, society, and our collective future.
Economic Power of Entity Propensity Models Are Transforming the Game - DataScienceCentral.com
Growing up, I was fascinated by the Strat-O-Matic baseball game. This strategy-driven baseball simulation board game used dice rolls and individual player statistics (captured on individual playing cards) to recreate realistic game outcomes based on statistical probabilities. And yes, I still have my original game board (what a nerd…). The key to success with Strat-O-Matic… Read More »Economic Power of Entity Propensity Models Are Transforming the Game
Crafting an effective link-building strategy for small business success - DataScienceCentral.com
In today’s digital age, having a strong online presence is crucial for small businesses seeking to grow and thrive. One of the most effective ways to boost online visibility is through a competitive link strategy. Link building, when done right, not only drives organic traffic but also improves search engine rankings, establishing the business as… Read More »Crafting an effective link-building strategy for small business success
How AI & Data Literacy Addresses the GenAI Critical Thinking Challenge - DataScienceCentral.com
Generative AI (GenAI) has revolutionized content generation, information processing, and decision-making. However, as AI tools like ChatGPT and Bard integrate into daily workflows, a crucial question emerges: How is GenAI affecting critical thinking? A recent research paper published by Microsoft, The Impact of Generative AI on Critical Thinking, explored this issue by surveying 319 knowledge… Read More »How AI & Data Literacy Addresses the GenAI Critical Thinking Challenge
The secret to Deepgram’s speech-to-text model: Synthetic data generation - DataScienceCentral.com
Nova-3, Deepgram’s most effectual speech-to-text model to date, is equipped with a plethora of capabilities. It supports approximately 10 different languages—even during the same conversation. It was trained to handle industry-specific jargon in areas of healthcare and the legal field. The model’s transcriptions are rendered fast enough for real-time use cases, obviating lengthy waiting periods… Read More »The secret to Deepgram’s speech-to-text model: Synthetic data generation
How data integration can streamline healthcare operations - DataScienceCentral.com
Explore how data integration enhances healthcare operations by streamlining workflows, reducing errors, and improving patient care. Discover the benefits of connecting EHRs, billing systems, and management tools for optimal efficiency and service delivery.
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
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
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
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?
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?
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!
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
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
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
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
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
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
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?
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