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Data Science News
Medium
4w
288
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Why AI (Agentic or Not) Adoption Should Start with “Why,” Not “What’s Trendy”
- Start with the problem, not the product.
- Complexity – effectiveness.
- Chatbots: The poster child for simplicity.
- Track efficiency, not just adoption.
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Medium
4w
146
Search Tools for AI Agents: Enhancing Intelligence with Real-Time Information
- Search tools are essential for AI agents to retrieve real-time information and overcome knowledge cutoffs.
- Popular search tools for AI agents include Serper API, Google Custom Search API, Bing Search API, DuckDuckGo API, and web scraping APIs.
- Serper API provides real-time search results, news, and structured JSON responses for easy processing.
- Google Custom Search API, Bing Search API, and DuckDuckGo API offer different search capabilities for AI agents.
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Medium
4w
319
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Digital Twins, Extended Reality, and Artificial Intelligence in Manufacturing Recinfiguration…
- Digital Twins are dynamic, real-time virtual replicas of physical manufacturing assets, enabling simulation, monitoring, and analysis.
- Extended Reality improves human-machine interactions with immersive interfaces, visualizing complex processes and guiding reconfigurations.
- Artificial Intelligence enhances manufacturing through predictive analytics, real-time decision-making, and automation.
- Integrating Digital Twins, Extended Reality, and Artificial Intelligence provides real-time data visualization, predictive insights, and supports seamless reconfigurations.
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Medium
4w
5.4k
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Tech Skills That Will Make You Rich in the Next 5 Years
- Artificial Intelligence (AI) & Machine Learning (ML) - AI is transforming every industry, and companies are willing to pay top dollar for professionals who can build, train, and manage AI systems.
- Cybersecurity & Ethical Hacking - With the rise of cybercrime, companies are desperate for cybersecurity experts. Ethical hackers and cybersecurity analysts are some of the highest-paid tech professionals.
- Blockchain Development - Companies need blockchain experts for finance, supply chains, smart contracts, and digital security. Mastering blockchain development can lead to financial success.
- Cloud Computing (AWS, Azure, Google Cloud) - Companies are moving everything to the cloud, creating a massive demand for cloud experts. Mastering cloud computing can lead to remote work and high salaries.
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Medium
4w
439
Agentic AI: The Rise of Autonomous Problem Solvers
- Agentic AI refers to an AI system designed to perceive its environment, make decisions, take actions, and learn from experiences to achieve specific goals.
- Agentic AI is different from GenAI models as it exhibits autonomy and can actively interact with the real world or plan complex tasks.
- Agentic AI systems consist of components like perception, decision-making, action, and learning.
- Agentic AI has the potential to transform industries and the future of Agentic AI is promising with advancements in technology and research.
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Medium
4w
434
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AI Meets Science: The Future of Discovery
- AI-powered algorithms in medicine can detect cancer earlier than ever before.
- AI is helping researchers uncover hidden particles in the quantum realm.
- AI lacks human intuition, creativity, and the ability to ask new questions.
- The fusion of AI and science is about speeding up research, eliminating human error, and allowing scientists to focus on big questions.
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Analyticsindiamag
4w
8
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‘Most Data Centres Are Not Ready for Liquid Cooling’, says Oracle Exec on NVIDIA Blackwell
- Oracle Cloud Infrastructure (OCI) is introducing NVIDIA’s Blackwell Ultra GPUs to its cloud platform, necessitating new infrastructure solutions like liquid cooling in data centres.
- Senior vice president at OCI, Karan Batta, highlighted the challenge of managing heat from the new GPUs due to most data centres not being equipped for liquid cooling.
- Cloud providers face decisions on cooling methods and must focus on effective integration within data centre designs.
- Differentiation among cloud providers lies in data centre design and operational management of GPU clusters for high uptime and minimal failures.
- The Blackwell Ultra GPUs, built on the Blackwell architecture, offer enhanced AI performance and are part of Oracle’s zettascale cloud computing clusters.
- Oracle collaborates with Google and Microsoft Azure to establish multi-cloud partnerships by deploying OCI within their data centres.
- OCI partners with NVIDIA AI Enterprise to accelerate AI adoption, offering over 160 AI tools and enabling faster deployment and customer support.
- The collaboration between Oracle and NVIDIA AI Enterprise aims to support diverse AI use cases and streamline generative AI model deployment.
- Oracle’s distributed cloud approach extends to public regions, Government Clouds, sovereign clouds, and specialized cloud services such as OCI Dedicated Region and Roving Edge Devices.
- Nomura Research Institute (NRI) in Japan uses Oracle Alloy with NVIDIA Hopper GPUs for customised cloud services and plans to deploy NVIDIA AI Enterprise for AI initiatives.
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Medium
4w
39
What is AI? A Beginner’s Guide to the Hottest Tech Trend
- Artificial Intelligence (AI) is intelligence created artificially to mimic human thinking.
- AI is a simulation of how the majority of people would answer a given question.
- AI relies on huge datasets of questions and answers, requiring massive amounts of storage and computational power.
- If AI encounters a brand-new question, it will try to find a similar question in its dataset or generate an incorrect answer.
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Towards Data Science
4w
372
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Evolving Product Operating Models in the Age of AI
- Popularized by product coaches like Marty Cagan, the '3-in-a-box' model consists of product management, product design, and engineering as core competencies.
- The model focuses on addressing product risks in value, viability, usability, and feasibility through collaborative decision-making.
- As software projects grew in complexity, dedicated roles for product management and design emerged in the late 1990s and early 2000s.
- The adoption of agile and lean methodologies further reinforced the importance of cross-functional teams in product development.
- The emergence of AI as a key competency may trigger the evolution of current product operating models.
- The incorporation of AI may follow a four-phase framework, similar to the evolution of design and UX roles in the past.
- Models like embedded, consultative, and hybrid are proposed for integrating AI expertise into existing product models.
- Boundary conditions and path dependence should be considered when deciding on AI integration in product operating models.
- The choice of product operating model can significantly impact the design and architecture of products, according to Conway’s Law.
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Medium
4w
44
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How I Made $500 Selling Coloring Books Online
- Selling coloring books online can be a lucrative opportunity, with potential to earn $500 in the first week.
- The Profitable Coloring Pages PLR Pack offers over 750 unique designs, allowing for customization and personalization.
- Creating themed bundles can multiply earnings and cater to specific niches, appealing to a broader audience.
- The market demand for children's educational items is growing, making this a promising entrepreneurial venture.
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2 Likes
Medium
4w
310
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Breaking into Data Science: A Freshers’ Guide to Landing Your First Job!
- Python is a key language for fresher data scientists, with libraries like Pandas, NumPy, and Matplotlib being important to focus on.
- Maths, stats, and SQL are necessary skills for a fresher in data science.
- Creating projects and showcasing them on GitHub or Kaggle is a great way to demonstrate practical skills.
- Avoid putting fake experience or useless certifications on your resume and focus on relevant job applications.
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Towards Data Science
4w
456
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No More Tableau Downtime: Metadata API for Proactive Data Health
- The article discusses the challenges of identifying and fixing issues in Tableau data sources.
- It highlights the lack of a central place to check dependencies of Tableau data sources on specific tables.
- The Tableau Data Management add-on is mentioned as a potential solution, but its cost hinders widespread use.
- The introduction of the Tableau Metadata API is presented as a proactive approach to identify impacted data sources before issues arise.
- The use of Python's Tableau Server Client (TSC) library to connect to the Metadata API is explained.
- The process of retrieving data sources, custom SQL queries, and table names is detailed using the Metadata API.
- The article emphasizes the extraction of relevant information and merging data to identify affected data sources efficiently.
- Various scenarios and use cases of leveraging the Tableau Metadata API are highlighted for data management tasks.
- The importance of automating Tableau data management tasks for efficiency and accuracy is underscored.
- The reader is encouraged to explore the provided code examples on Github for a practical understanding.
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Medium
4w
173
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Step-by-Step Guide to Building a RAG System with NotebookLM
- NotebookLM is a tool for creating RAG systems.
- RAG systems allow users to interact with verified and up-to-date sources of information.
- This article provides a step-by-step guide on creating a RAG system with NotebookLM.
- NotebookLM offers features such as analysis, summarization, and question formulation.
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10 Likes
Towards Data Science
4w
60
Image Credit: Towards Data Science
What Germany Currently Is Up To, Debt-Wise
- Germany's current debt situation is analyzed using visualization tools to understand the significant amounts involved.
- An initial comparison of various debt amounts showcases the challenges in grasping the scale using plain enumeration.
- By visualizing data using Python and Matplotlib, the disparity between different debt levels becomes more apparent.
- Logarithmic scaling helps in better understanding the relationship between everyday amounts and large debt figures.
- An interactive webpage developed with HTML, JavaScript, and CSS allows a more intuitive representation of Germany's planned debt increase.
- The webpage visually emphasizes the vastness of the debt, putting it into perspective relative to smaller amounts like €1,600 and existing interest costs.
- The visualization highlights the enormity of Germany's proposed additional debt and the burden it places on future generations.
- The use of pixel representation in the webpage provides a clear visual cue for understanding the scale of different debt levels.
- Even individuals with substantial earnings find their income represented by just a few pixels compared to the massive debt bars.
- Ultimately, the visualization serves as a stark reminder of the immense financial obligations that lie ahead for Germany.
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Nycdatascience
4w
333
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Healthcare fraud detection prediction
- Healthcare fraud is a significant issue involving illegal activities like billing for services not provided or misrepresenting services.
- Machine learning offers an effective solution for automating the detection of healthcare fraud, reducing costs and improving efficiency.
- A capstone project focused on detecting potential fraud in healthcare claims through machine learning techniques is discussed.
- The project involves analyzing historical data to identify patterns distinguishing fraudulent activities from legitimate claims.
- Key steps in the project include data preprocessing, feature engineering, and model evaluation using metrics like precision and recall.
- The dataset used in the project includes Inpatient, Outpatient, Beneficiary, and Fraud labels data uploaded to Kaggle by Rohit Anand Gupta.
- Key findings from the project include insights on inpatient stay duration, claim duration, reimbursed amount analysis, and numerical variables analysis.
- Different machine learning models like Logistic Regression, Decision Tree, XGBoost, and CatBoost were evaluated for fraud detection performance.
- The CatBoost model demonstrated high performance in distinguishing fraudulent claims, with a focus on precision, recall, and ROC-AUC metrics.
- Recommendations for optimizing fraud detection models include addressing class imbalance, threshold adjustment, and combining hybrid approaches for enhanced performance.
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