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PIM Transforms Energy & Utility Companies

The energy and utility sector is evolving rapidly, requiring companies to adapt to stay competitive.
PIM systems play a significant role in transforming energy and utility companies by streamlining operations and enhancing customer experiences.
Changes in the energy sector include the rise of renewable energy sources and customer demand for control and clear information on pricing.
Technology, such as smart grids and data analytics, is crucial in managing energy distribution and understanding customer behavior.
Energy and utility companies face challenges like data silos, complex product specifications, regulatory compliance, manual data entry errors, and the lack of a centralized system.
PIM systems help address these challenges by centralizing product information, ensuring accuracy, improving efficiency, and facilitating updates.
PIM aids in providing clear product information, enhancing customer experience, improving sales and marketing, optimizing inventory management, and supporting field operations for energy companies.
Selecting the right PIM solution is crucial, considering factors like product types, user needs, data import/export capabilities, user permissions, and workflow management tools.
Future trends in the energy and utility industry involve smart technologies, sustainability focus, enhanced customer experience, and data-driven decision-making, with PIM playing a key role in digital transformation.
In summary, PIM systems are essential for energy and utility companies to manage product information efficiently, minimize errors, meet regulations, and improve overall operations and customer satisfaction.

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Scand

431

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Building Functional .NET Applications: a Guide for Choosing between F# vs C#

Functional programming provides a predictable and manageable code structure by focusing on simple, reusable functions.
Choosing between C# and F# impacts the ease of implementing functional programming principles in .NET applications.
F# is tailored for functional programming, while C# is multi-paradigm, accommodating various programming styles.
F# emphasizes immutability and is well-suited for data science, financial modeling, and cloud services.
C# is versatile with features like lambda expressions and LINQ, making it suitable for diverse projects within the .NET framework.
F# promotes immutability, compact syntax, type inference, and higher-order functions for efficient functional programming.
C# excels in web development, desktop applications, and mobile apps, offering a strong type system and compatibility with other languages.
While F# is ideal for a functional-first approach, C# provides flexibility to blend object-oriented, imperative, and functional code.
Choosing between F# and C# for functional .NET applications depends on project requirements and organizational preferences.
Both languages run on the .NET platform, offering compatibility with a wide range of tools and libraries for development.

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TheNewsCrypto

389

Nollaxy Launches NOXY Token: A New Era in Web3 and AI Investments

Nollaxy has officially launched its native token NOXY, ushering in a new era in decentralized finance and artificial intelligence.
NOXY is deployed on the Ethereum blockchain, ensuring compatibility with leading DeFi protocols and wallets while ensuring security and transparency of transactions.
The NOXY token has a total supply of 100 million tokens, with an initial price of $0.05 and a pricing mechanism based on internal demand.
NOXY plays a key role in providing access to DeFi, staking rewards, and forms the foundation of Nollaxy's platform, positioned for growth with integration with AI and development of an independent Layer 1 blockchain.

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Tech Radar

311

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OpenAI just gave ChatGPT users a huge free upgrade – 4.1 mini is available today

OpenAI has rolled out ChatGPT 4.1 for paid subscribers and 4.1 mini for free users, emphasizing coding capabilities for the former and efficiency for the latter.
GPT-4.1 is a specialized model aimed at coding tasks and instruction following, while 4.1 mini is a fast and efficient small model for non-paid users.
Users with ChatGPT Plus, Pro, or Team access can try out these new models from the 'more models' section, with 4.1 mini available as a fallback after reaching GPT-4o limits.
As OpenAI's naming convention becomes more complex, there is a call for simplification to help average consumers better understand the significance of new models like 4o, 4.1, and others.

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Javacodegeeks

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How to Return a ZIP File in a Micronaut Controller

Micronaut, a JVM-based framework, is ideal for building high-performance microservices and serverless applications.
Micronaut utilizes compile-time annotation processing, reducing memory usage and startup time compared to traditional frameworks.
Key features include compile-time dependency injection, fast startup time, seamless GraalVM integration, and support for reactive programming.
To return a ZIP file in a Micronaut controller, dependencies like micronaut-http-server-netty and micronaut-inject are needed.
A Java controller class named ZipDownloadController is created to handle the zip file generation and download logic.
The controller method downloadZip() dynamically generates a ZIP file with two text files and returns it as a downloadable byte array.
Accessing the /download/zip endpoint prompts a sample.zip file download containing hello.txt and data/info.txt.
Micronaut's efficiency makes it suitable for serving dynamically created ZIP files, enhancing server-side operations.
By following the provided code examples, developers can implement ZIP file downloads seamlessly in Micronaut applications.
Overall, Micronaut's lightweight nature and performance optimizations make it a compelling choice for modern Java development.

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Medium

417

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Product vs Project Management: what’s the difference?

Product management is focused on aligning the product with customer needs, business goals, and market opportunities, emphasizing long-term value and overall business vision.
Product managers balance innovation with market needs, understand trends, and adapt based on customer feedback to ensure the product thrives in the competitive market.
On the other hand, project management is about the tactical aspects of delivery, ensuring things happen on time and within scope, managing timelines, and overseeing progress to meet project goals.
At thoughtbot, project management is a shared responsibility among designers, developers, and product managers, fostering collaboration, alignment, and shared ownership of the vision and delivery process for building great products.

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Medium

100

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“The Duel That Never Was”

Saint Just, the notorious MUD pirate, was rumored to be changing and becoming softer, gentler, and smiling more in public.
Zeskk, also known as 'The Noot', a Ustur philosopher-warrior, challenged Saint Just to a duel after a joke insult that hit his dignity deeply.
Despite the anticipation in the galaxy, Saint Just hesitated and eventually offered a hefty bounty for the duel, but no one accepted.
Speculations arose that Saint Just's reluctance stemmed from a fear of losing his edge or that he had developed a newfound love for peace and a fear of the person he might become if he won.

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Medium

1.5k

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Major Difference Between Ai Code And Human Written Code

AI is great for coding small fragments of code or writing short functions in various programming languages like Bash, C++, Python, etc.
It can quickly generate examples of code using features of different languages, along with wrappers that serve as mini-unit tests.
AI excels as a shortcut reference tool by providing fast and accurate information if the required documentation is available and the query is well-defined.
However, AI may struggle with writing complex logic that requires human reasoning, as seen in the example of creating a complicated regular expression.

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Medium

224

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AI-Driven Software Development: Business Guide & Analysis

Only 25% of companies have fully integrated AI into their processes, leading to industry polarization.
AI speeds up tasks but also introduces unpredictability, making project planning challenging.
Dev teams using AI face challenges like technical debt, shifting bottlenecks, and changing roles.
AI speeds up code production but poses risks like growing technical debt and decreased code quality.
AI complexity increases with advanced automation, making issue diagnosis and debugging more challenging.
Cost monitoring and proactive budgeting are essential as AI services can spike costs as usage grows.
Continuous adaptation and experimentation with new AI tools are crucial for development teams to stay competitive.
Agile setups struggle to keep up with AI speed, requiring tighter collaboration and flexible planning approaches.
Senior developers play a crucial role in reviewing AI-generated code, maintaining quality, and guiding coding standards.
AI accelerates development cycles, emphasizing the importance of DevOps in supporting rapid changes and ensuring system stability.

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Bigdataanalyticsnews

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How to Enable Remote Access on Windows 10 [Allow RDP]

Remote Desktop Protocol (RDP) is essential for remote connections to Windows 10 PCs.
Enabling remote access on Windows 10 can be done via System Settings, Command Prompt, PowerShell, or Group Policy.
Using RDP allows for managing infrastructure, running apps remotely, or accessing work PCs securely.
Enabling RDP through Windows Settings is straightforward for Windows 10 Pro, Enterprise, or Education users.
Involves activating Remote Desktop Protocol, configuring network settings, and allowing access through Windows Firewall.
Control Panel method offers a GUI-based approach to enable RDP, ideal for local system management.
PowerShell allows precise and automated activation of RDP for advanced users and IT professionals.
Group Policy method is expert-level for centralized control over multiple systems in enterprise environments.
Security best practices include strong passwords, limited access, monitoring sessions, and using a VPN for enhanced security.
Troubleshooting common issues like firewall blocks and user permissions is crucial for successful remote desktop connections.

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Medium

371

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“You’ve Been Flagged”: The Silent Nightmare AI Is Creating in Fraud Detection

AI-driven fraud detection systems are flagging innocent users based on algorithmic verdicts, causing frozen accounts and locked assets without human intervention or appeals.
These systems inherit biases from past fraud cases, leading to flagging of activities that deviate from traditional norms, such as unusual revenue spikes or transactions from non-traditional regions.
Users face consequences like suspended accounts, frozen funds, and marked high-risk profiles due to perceived anomalous activities, with no clear explanation or method to dispute these AI-generated flags.
The call to action includes using AI for flagging but not final judgments, designing for false positives, ensuring transparency in flagging reasons, and auditing for biases regularly to prevent punitive measures against innocent users in automated fraud detection processes.

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Medium

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The Daily Tech Digest: 15 May 2025

The Daily Tech Digest on May 15, 2025 highlighted advancements in AI and Machine Learning, including OpenAI's Safety Evaluations Hub and new versions of GPT models.
Granola, an AI note-taking app, secured $43 million in funding, reflecting investor confidence in AI productivity tools.
Issues with Elon Musk's xAI chatbot, Grok, inserting harmful content emphasized challenges in controlling AI model outputs.
Microsoft introduced GitHub Copilot agent mode for AI-assisted task handling in software development, showcasing AI evolution.
OpenAI considered building data centers in the UAE to expand infrastructure capacity and serve growing market demands.
NVIDIA highlighted Physical AI at GTC Taipei, focusing on industrial autonomy and AI-powered transformation in manufacturing.
Cybersecurity concerns were raised with threats against US judges and the need for vigilance against online harassment and data exploitation.
Microsoft announced layoffs affecting 3% of its workforce, indicating a strategic realignment or cost-reduction effort.
YouTube experimented with ad placement after 'peak' moments to optimize engagement, while Microsoft shut down Bing Search APIs.
Uber introduced fixed-route shuttles, competing in the commuter transit market by offering cost-effective options.

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Medium

449

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Bug of the week #2

In C++, variables must be declared with a type to inform the compiler about the kind of data the variable will hold.
A declaration without a type leads to a syntax error in C++ compilation.
Adding a type in variable declaration resolves this issue.
Using 'auto' in variable declaration for type deduction requires initialization for the compiler to determine the type.

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TechBullion

307

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How to Register a Domain Name in Minutes – Step-by-Step Guide

A domain name is crucial for establishing your online presence and identity.
ProHoster.info makes registering a domain name a quick and easy process.
They offer domain names, various extensions, and provide WHOIS privacy protection.
ProHoster.info is a trusted platform offering fast registration, affordable pricing, and reliable customer support.

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Towards Data Science

237

Boost 2-Bit LLM Accuracy with EoRA

Quantization reduces memory footprint of large language models by converting parameters to lower-precision integer formats like INT8 or INT4, achieving significant size reduction.
To aid access of models on consumer-grade GPUs, quantization to lower bitwidths like 2-bit is essential, but maintaining accuracy remains challenging.
EoRA is a training-free technique that compensates for quantization-induced errors, significantly improving accuracy of 2-bit quantized models.
EoRA projects compression errors into an eigenspace, optimizing error components based on their contribution to output, leading to efficient approximations.
NVIDIA's EoRA method enhances the accuracy of quantized models like Qwen3-32B and Qwen2.5-72B at 2-bit precision, showing potential for larger models and modern quantization techniques.
Application of EoRA adapters on quantized models like Qwen3-32B leads to notable accuracy gains, especially with increased LoRA ranks.
EoRA's memory consumption during inference is minimal, with slight increases in model size as ranks rise but remains effective for compensating quantization errors.
Trade-offs of EoRA include rank search for optimal performance and slightly increased memory consumption, especially at higher ranks, impacting 2-bit quantization efficiency.
EoRA adapters are recommended as starting points for QLoRA fine-tuning, providing better results with less training effort, especially for 2-bit models.
NVIDIA's EoRA technique offers enhanced compensation for quantization errors, contributing to improved accuracy and efficiency in handling large language models.
EoRA adapters prove effective in boosting accuracy of quantized models at low bitwidths, emphasizing the method's simplicity and effectiveness in compensating errors.

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