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3 min readJun 4, 2024

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Bitwise. June Editor Picks

In the vast data landscape, organizations grapple with big data ingestion, seeking efficient methods for processing and scalability. Meanwhile, AI stands sentinel, ensuring government transparency and safeguarding individual rights. When it comes to anomaly detection, unsupervised exploration unveils hidden patterns, while supervised learning relies on labeled data. Lastly, the mathematics of waiting lines, modeled by Chapman-Kolmogorov equations, guide our understanding of queues in various contexts.

Stay informed, stay curious! 🌟

Big Data, AI Vigilance, Anomaly Detection and Queue Mechanics. From optimizing data ingestion for machine learning to AI’s role in government oversight, and from anomaly detection to the hidden mechanics of waiting lines, these topics collectively shape our journey toward innovation and adaptability.

Big Data with BingAI

Welcome the June edition of ORB’s Bitwise Newsletter! In our latest newsletter, we explore diverse frontiers of Unraveling Data, AI and Queue Dynamics — guide our understanding of optimization in various contexts.

A welcome to Varun Tyagi who joined ORB Editors this month. See ORB’s Topics in Operations Research for Varun’s and ORB Editor’s bios.

Let’s explore the intriguing topics of data where Supply Chains and AI weave paths:

Data ingestion is a critical process for managing raw data. It involves collecting data from various sources, converting it to a standardized format, and making it available for machine learning (ML) models. Proper data ingestion streamlines ML tasks by ensuring consistent data formats, simplifying comparisons, and enabling accurate decision-making.

With the exponential growth of data, investing in effective data ingestion is crucial. High volumes of data and complex pipelines require robust solutions. Organizations seeking to harness big data must consider efficient data ingestion methods. Key factors include scalability, real-time processing, and compatibility with existing systems. Here is how to choose the right tools and infrastructure for successful data ingestion.

Are You Thinking of Investing in Big Data Ingestion? What Should You be Looking at? by Lynne Pratt

By analyzing past events and predicting future trends, AI helps maintain transparency, accountability, and checks and balances. AI technologies play a vital role in ensuring transparency, accountability, and fairness in government operations. By automating tasks like fraud detection, citizen services, and policy analysis, AI helps maintain a balance between governance and individual rights. Here is how AI plays a pivotal role in monitoring government activities.

AI to Keep The Government in Check by Our Liberty & Freedom

Solve Complex Problems using Algorithms with ORB

Anomaly Detection and Supervised Learning serve distinct purposes. Anomaly detection identifies outliers or irregular patterns in data, crucial for fraud detection, fault diagnosis, and quality control. Supervised learning, on the other hand, trains models using labeled data to make predictions. Here is how to choose the right approach using the problem context and available data.

Anomaly Detection v/s Supervised Learning by Akshita Guru

Waiting lines (queues) are ubiquitous in various contexts, from customer service to traffic flow. The Chapman-Kolmogorov equations model queue behavior, considering arrival rates, service times, and system stability. Understanding these equations helps optimize queue management.

The Hidden Mechanics of Waiting Lines: Chapman-Kolmogorov Equations by Everton Gomede, PhD

Optimize the Supply Chain

Enhancing Supply Chain Visibility with AI: Strategies by Sambit Tripathy

Revolutionizing Delivery Routes with Simulated Annealing by Varun Tyagi

Revolutionizing Real-Time Environmental Monitoring with AI: Enhancing Accuracy by Everton Gomede, PhD

The Role of AI in Sales Call Analysis and Optimization by Artificial Intelligence | Lead Generation | Sales

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ORB, Operations Research Bit
Operations Research Bit

Business problems, solved. Even the edge cases. Editor of ORB, ORG and Sustainable Cities. Authors, expand your reach: https://bit.ly/write-for-orb