#application performance management tools

[virtualizationhowto]

SigNoz: Free and Open Source Syslog server with OpenTelemetry

SigNoz: Free and Open Source Syslog server with OpenTelemetry @signozhq #homelab #SigNozOpenSourceAlternative #DatadogVsSigNoz #MonitorApplicationsWithSigNoz #ApplicationPerformanceManagementTools #DistributedTracingWithSigNoz #MetricsAndDashboards

I am always on the lookout for new free and open-source tools in the home lab and production environments. One really excellent tool discovered recently is a tool called SigNoz. SigNoz is a free and open-source syslog server and observability program that provides an open-source alternative to Datadog, Relic, and others. Let’s look at SigNoz and see some of the features it offers. We will also…

[ennetix]

xVisor, AIOps Platform - One of the most sought-after aiops tools & application performance monitoring tools that focuses on a customer's digital transformation journey.

[jaysonmurphyitservice]

Jayson Murphy IT service

Website: http://jaysonmurphyitservicer.com/

Address: 609 New York Ave, Brooklyn, NY 11203, USA

Phone: 917-577-3337

Jayson Murphy IT Service is a comprehensive provider of managed IT solutions tailored to meet the unique needs of businesses. With a focus on enhancing operational efficiency and ensuring robust cybersecurity, we offer a range of services including network management, cloud solutions, data backup, and IT consulting. Our team of experienced professionals is dedicated to delivering reliable support and innovative technology strategies that empower organizations to thrive in a digital landscape. At Jayson Murphy IT Service, we prioritize customer satisfaction and work closely with our clients to develop customized solutions that drive growth and success.

Business Email: jmitservice@gmail.com

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[jcmarchi]

10 Best AI Tools for Supply Chain Management (September 2024)

New Post has been published on https://thedigitalinsider.com/10-best-ai-tools-for-supply-chain-management-september-2024/

10 Best AI Tools for Supply Chain Management (September 2024)

As we are well aware by now, artificial intelligence has emerged as a game-changing force in supply chain management. As organizations strive to navigate increasingly complex global networks, AI-powered solutions are providing unprecedented levels of visibility, optimization, and predictive capabilities. 

This article explores some of the most innovative AI-driven supply chain platforms that are revolutionizing how companies plan, execute, and analyze their operations. From Blue Yonder’s objective-led planning to C3 AI’s enterprise-wide applications, these cutting-edge tools are empowering businesses to make data-driven decisions, mitigate risks, and drive operational excellence across their entire value chain.

Blue Yonder, formerly known as JDA Software, is a leading provider of AI-powered supply chain management solutions. The company offers a comprehensive suite of tools designed to optimize various aspects of supply chain operations, from demand forecasting and inventory management to transportation and warehouse automation. Blue Yonder’s platform leverages advanced algorithms and machine learning techniques to help businesses make data-driven decisions, improve forecast accuracy, and enhance overall operational efficiency.

At the core of Blue Yonder’s offerings is its innovative approach to supply chain planning. The company emphasizes “objective-led, range-based planning,” which moves beyond traditional “what-if” scenario planning. Blue Yonder’s patented solvers recommend collaborative resolutions based on multiple possible futures, allowing businesses to prepare for various scenarios and respond swiftly to disruptions.

Blue Yonder recently launched the Blue Yonder Orchestrator, a Generative AI capability that enables more intelligent decision-making and faster supply chain orchestration. 

Key features of Blue Yonder’s supply chain management solutions include:

AI-driven demand forecasting and inventory optimization

End-to-end supply chain visibility and control

Real-time decision support and collaborative resolution recommendations

Execution-aware planning capabilities that sense opportunities and potential disruptions

Comprehensive suite of tools covering planning, execution, commerce, and network design

Visit Blue Yonder →

IBM Supply Chain is a comprehensive suite of AI-powered solutions designed for supply chain management. Leveraging IBM’s cutting-edge artificial intelligence platform, Watson, this suite offers advanced capabilities for demand forecasting, inventory optimization, logistics planning, and supplier management. By harnessing the power of machine learning and cognitive computing, IBM Supply Chain enables businesses to make data-driven decisions, improve operational efficiency, and enhance overall supply chain performance.

At the core of IBM Supply Chain is its ability to analyze vast amounts of data from multiple sources, including historical sales data, market trends, weather patterns, and social media sentiment. This multi-faceted approach to data analysis allows for more accurate demand forecasting and inventory optimization, helping businesses reduce costs associated with overstocking or stockouts. Additionally, the platform utilizes natural language processing (NLP) to enable real-time insights and decision-making, enhancing supply chain visibility and agility.

IBM Supply Chain is designed to be scalable and adaptable, making it suitable for businesses of various sizes across different industries. Its cloud-based architecture allows for easy integration with existing systems and provides flexibility in deployment options. By offering a holistic view of the entire supply chain, from sourcing to delivery, IBM Supply Chain empowers organizations to identify potential disruptions, mitigate risks, and capitalize on opportunities for improvement.

Key features of IBM Supply Chain:

AI-powered demand forecasting and inventory optimization

Real-time supply chain visibility and risk management

Cognitive analytics for enhanced decision-making and problem-solving

Natural language processing for intuitive user interaction and insights

Scalable, cloud-based architecture for seamless integration and deployment

Visit IBM Supply Chain →

project44 is a leading supply chain visibility platform that provides real-time tracking and predictive analytics for global shipments across all transportation modes. The company leverages advanced AI and machine learning technologies to offer end-to-end visibility, from order to delivery, enabling businesses to optimize their supply chain operations. project44’s platform connects to thousands of carriers worldwide, processing billions of data points to provide accurate and timely insights into shipment status, estimated arrival times, and potential disruptions.

At the core of project44’s offering is its Movement platform, which integrates real-time data from various sources to create a comprehensive view of the supply chain. The platform’s AI-powered capabilities include demand forecasting, inventory optimization, and route planning, helping businesses reduce costs, improve efficiency, and enhance customer satisfaction. project44 has recently introduced Movement GPT, a generative AI assistant that enables users to interact conversationally with the platform, making it easier to access critical information and manage shipments.

project44 has experienced significant growth and recognition in the supply chain visibility market. The company has been named a Leader in Gartner’s Magic Quadrant for Real-Time Transportation Visibility Platforms and has expanded its capabilities through strategic acquisitions, such as ClearMetal, which enhanced its AI and predictive analytics capabilities. With its comprehensive network coverage and advanced technologies, project44 serves a wide range of industries, including retail, manufacturing, and logistics, helping businesses transform their supply chains into a competitive advantage.

Key features of project44:

Real-time multi-modal shipment tracking and visibility across global supply chains

AI-powered predictive ETAs and risk identification capabilities

Movement GPT: Generative AI assistant for conversational interaction with supply chain data

Extensive carrier network and data integrations for comprehensive visibility

Advanced analytics and reporting for improved decision-making and optimization

Visit project44→

FourKites is a leading real-time supply chain visibility platform that leverages advanced artificial intelligence and machine learning to provide end-to-end tracking and predictive analytics for global supply chains. The company’s platform tracks more than 3 million shipments daily across various transportation modes, including road, rail, ocean, air, and parcel. By harnessing data from the world’s largest network of shippers, carriers, and 3PLs, FourKites offers unprecedented visibility and insights to help businesses optimize their supply chain operations.

At the core of FourKites’ offering is its ability to provide accurate, real-time tracking and predictive ETAs for shipments. The platform’s AI algorithms process and analyze vast amounts of data from multiple sources, including GPS tracking, weather patterns, traffic conditions, and historical performance data, to deliver highly accurate predictions of shipment arrivals and potential disruptions. This level of insight allows businesses to proactively manage their supply chains, reduce costs associated with delays and inefficiencies, and improve overall customer satisfaction.

FourKites has also recently introduced YardWorks, a suite of solutions aimed at revolutionizing facilities management through next-generation hardware and AI. These advancements, coupled with FourKites’ extensive data network and partnerships, position the company as a leader in driving digital transformation across global supply chains.

Key features of FourKites:

Real-time tracking and visibility across all transportation modes

AI-powered predictive ETAs and disruption alerts

Fin AI natural language interface for advanced insights and automation

YardWorks suite for AI-driven facilities management optimization

Extensive data network and analytics for improved supply chain decision-making

Visit Fourkites →

Kinaxis Maestro (Formerly RapidResponse) is a leading AI-powered supply chain planning and management platform designed to provide end-to-end visibility and control over complex supply chain operations. The platform leverages advanced analytics, machine learning, and concurrent planning techniques to enable real-time decision-making and scenario modeling across various supply chain functions, including demand planning, supply planning, inventory management, and sales and operations planning (S&OP).

At the core of Kinaxis Maestro is its unique concurrent planning engine, which allows for simultaneous planning and execution across multiple supply chain functions. This approach enables businesses to quickly assess the impact of changes or disruptions on their entire supply chain network and make informed decisions in real-time. The platform’s AI capabilities enhance its predictive analytics, allowing for more accurate demand forecasting, inventory optimization, and risk assessment.

Kinaxis Maestro’s user-friendly interface and collaborative features facilitate cross-functional teamwork and decision-making. The platform’s scenario modeling capabilities enable users to create and evaluate multiple “what-if” scenarios, helping businesses prepare for various potential outcomes and optimize their supply chain strategies. With its cloud-based architecture, it offers scalability and flexibility, making it suitable for businesses of various sizes across different industries.

Key features of Kinaxis Maestro:

Concurrent planning engine for simultaneous, end-to-end supply chain visibility and optimization

AI-powered predictive analytics for accurate demand forecasting and inventory management

Advanced scenario modeling capabilities for strategic decision-making and risk mitigation

Real-time collaboration tools for cross-functional team alignment

Customizable dashboards and analytics for personalized insights and KPI tracking

Visit Kinaxis Maestro →

Supply Chain Guru

Llamasoft Supply Chain Guru is a leading AI-powered supply chain design and optimization platform. It enables businesses to model, optimize, and simulate their end-to-end supply chain networks, helping them make strategic decisions that drive operational excellence. The platform leverages advanced modeling techniques and optimization algorithms to provide comprehensive capabilities for network optimization, transportation planning, inventory management, and scenario analysis.

Supply Chain Guru allows companies to visualize their entire supply chain network, from suppliers to customers, and analyze various scenarios to identify opportunities for cost reduction, service level improvements, and risk mitigation. By utilizing AI and machine learning, the platform can process vast amounts of data to generate accurate forecasts and optimize complex supply chain operations. This enables businesses to make data-driven decisions that balance multiple objectives, such as cost, service levels, and sustainability.

One of the key strengths of Supply Chain Guru is its ability to simulate different supply chain scenarios and their impacts on operational costs and business constraints. This feature allows companies to test various strategies and configurations before implementation, reducing the risk associated with major supply chain changes. Additionally, the platform’s intuitive interface and powerful analytical capabilities make it accessible to supply chain professionals, empowering them to design and optimize their networks without extensive technical expertise.

Key features of Llamasoft Supply Chain Guru:

Network optimization for determining optimal facility locations and product flows

Transportation planning and optimization to reduce logistics costs and improve efficiency

Inventory optimization to balance stock levels with service requirements

Scenario analysis capabilities for evaluating multiple supply chain configurations

AI-driven demand forecasting and supply chain analytics for improved decision-making

Visit Llamasoft →

Oracle Supply Chain Planning is a comprehensive, cloud-based solution designed to optimize end-to-end supply chain operations. The platform enables businesses to balance demand and supply, optimize inventory levels, and plan for multiple material and capacity scenarios. Oracle’s solution provides real-time visibility across the entire supply chain, allowing organizations to make data-driven decisions and respond quickly to market changes and disruptions.

At the core of Oracle Supply Chain Planning is its ability to integrate demand insights, supply constraints, and stakeholder input into a unified planning process. The platform’s AI-powered analytics help improve forecast accuracy, optimize inventory levels, and identify potential risks and opportunities. By simulating various scenarios, businesses can evaluate different strategies and make informed decisions to improve profitability and customer service levels. Oracle’s solution also facilitates collaboration across different departments and with external partners, ensuring alignment throughout the supply chain.

Oracle Supply Chain Planning is designed to support a wide variety of industries and business models, including high technology and manufacturing enterprises, project-oriented organizations, wholesalers and distributors, healthcare providers, and service-based supply chains. The platform’s flexibility and scalability allow it to adapt to specific business requirements while providing a unified view of the entire supply chain. With its cloud-based architecture, Oracle Supply Chain Planning offers rapid deployment, easy updates, and seamless integration with other Oracle Cloud applications and third-party systems.

Key features of Oracle Supply Chain Planning:

AI-powered demand management and forecasting with machine learning capabilities

Multi-tier supply planning and optimization across locations and time horizons

Advanced inventory optimization for service level improvements and cost reduction

Collaborative sales and operations planning (S&OP) for aligning business objectives

Real-time analytics and reporting for improved visibility and decision-making

Visit Oracle Supply Chain →

SAP

SAP Ariba is a cloud-based intelligent management software for sourcing and procurement, designed to optimize the procure-to-pay (P2P) process. As part of the SAP suite of business solutions, Ariba covers the entire source-to-pay process end-to-end, including strategic sourcing, supplier management, procurement, working capital optimization, invoice management, and spend visibility. The platform allows buyers and suppliers to conduct business on a single network, unifying and streamlining their supply chain strategy.

At its core, SAP Ariba focuses on reducing manual effort in managing supply chains and initiating procurement processes. The software leverages automation to generate requests for proposals, source vendors, sign contracts, broadcast bids, complete purchasing processes, send or pay invoices, and communicate with suppliers about disruptions or additional needs. This comprehensive approach helps organizations increase efficiency, control costs, and mitigate potential disruptions.

SAP Ariba’s cloud-based architecture enables seamless integration with other SAP ERP products, allowing for immediate communication of information from the P2P system to departments such as finance or sales. The platform also provides access to the Ariba Network, a global supplier network connecting over five million buyers and vendors. This collaborative network facilitates transparency by bringing accurate, up-to-date information to various trading partners, enabling businesses to discover and compare suppliers, complete purchase orders, and communicate fluctuations in supply and demand in real-time.

Key features of SAP Ariba:

AI-powered spend management and analytics for improved visibility and decision-making

Automated supplier onboarding and performance management tools

Configurable workflows for procurement processes and invoice management

Integration capabilities with SAP ERP systems and third-party solutions

Access to the Ariba Network for global supplier discovery and collaboration

Visit SAP Ariba →

O9 Solutions is a leading provider of AI-powered integrated business planning and operations solutions. The company’s platform leverages advanced analytics, machine learning, and graph-based enterprise modeling to help organizations make better and faster decisions across their supply chain, commercial, and financial operations. O9’s Digital Brain technology integrates multiple data sources and planning processes into a single, cloud-native platform, enabling end-to-end visibility and collaborative planning.

At the core of O9’s offering is its ability to create a digital twin of an organization’s entire value chain. This digital representation allows businesses to run complex simulations, perform what-if analyses, and generate accurate forecasts based on real-time market data and internal information. The platform’s AI capabilities help in identifying patterns, anomalies, and opportunities that might be missed by traditional planning methods, leading to more informed decision-making and improved operational efficiency.

O9 Solutions caters to a wide range of industries, including retail, consumer goods, manufacturing, and high-tech. The company’s platform is designed to be highly scalable and flexible, allowing organizations to start with specific use cases and expand to cover their entire planning ecosystem over time. With its focus on continuous innovation and customer success, O9 has been recognized as one of the fastest-growing companies in the supply chain planning space.

Key features of O9 Solutions:

AI-powered demand forecasting and supply planning

Digital twin modeling of the entire value chain

Real-time collaboration and scenario planning capabilities

Advanced analytics and machine learning for pattern recognition and anomaly detection

Flexible, cloud-native architecture for scalability and integration

Visit o9 Solutions →

C3 AI is a leading enterprise AI software provider that offers a comprehensive suite of AI-powered applications and development tools for various industries. The company’s platform leverages advanced machine learning, deep learning, and natural language processing capabilities to help organizations rapidly develop, deploy, and operate large-scale AI applications. C3 AI’s solutions are designed to address critical business challenges across manufacturing, financial services, government, utilities, oil and gas, chemicals, agribusiness, defense, and intelligence sectors.

At the core of C3 AI’s offering is its AI Application Platform, which provides all necessary software services in one integrated suite to rapidly develop, provision, and operate Enterprise AI applications. The platform’s model-driven architecture allows for quick development and deployment of AI applications, significantly reducing the time and complexity typically associated with AI implementation. C3 AI  also offers a range of pre-built AI applications for high-value use cases, such as AI CRM, Asset Performance Management, Supply Chain Management, and Sustainability.

C3 AI  has gained recognition for its innovative approach to enterprise AI. The company’s commitment to advancing AI technology is evident in its continuous development of new tools and features, such as the recently introduced C3 Generative AI product suite. This suite leverages cutting-edge generative AI techniques to enhance various aspects of enterprise operations, from automated report generation to personalized customer interactions.

Key features of C3 AI 

Comprehensive AI Application Platform for rapid development and deployment of enterprise AI solutions

Pre-built AI applications for industry-specific use cases across multiple sectors

Advanced AI/ML capabilities, including machine learning, deep learning, and natural language processing

C3 Generative AI suite for automated report generation and enhanced customer interactions

Flexible development tools, including deep code, low code, and no code options, to meet diverse development needs

Visit C3 AI →

The Bottom Line on AI Supply Chain Management

As we’ve explored in this overview of leading AI-powered supply chain platforms, artificial intelligence is fundamentally transforming how organizations manage their end-to-end operations. From demand forecasting and inventory optimization to real-time tracking and risk mitigation, these advanced solutions are enabling unprecedented levels of visibility, agility, and efficiency. By leveraging machine learning, natural language processing, and predictive analytics, companies can now make more informed decisions, respond swiftly to disruptions, and uncover hidden opportunities for improvement.

Looking ahead, the role of AI in supply chain management is only set to grow. As these platforms continue to evolve and integrate emerging technologies like generative AI and digital twins, we can expect even more sophisticated capabilities for scenario modeling, automated decision-making, and collaborative planning. Organizations that embrace these AI-driven solutions will be well-positioned to thrive in an increasingly complex and volatile global marketplace. By harnessing the power of artificial intelligence, businesses can transform their supply chains from a source of cost and complexity into a true competitive advantage, driving innovation, resilience, and sustainable growth in the years to come.

[ganesh85465]

WP Engine is a well-known managed WordPress hosting provider.

It offers a range of features and services tailored specifically for WordPress websites, making it a popular choice among businesses, bloggers, and developers who seek reliable, high-performance hosting solutions.

[signode-blog]

Ulcer Index

Unraveling the Ulcer Index: A Comprehensive Guide to Understanding and Utilizing Market Volatility Introduction: In the fast-paced world of investing, understanding market volatility is paramount to success. One tool that aids investors in this endeavor is the Ulcer Index. This comprehensive guide aims to demystify the Ulcer Index, shedding light on its significance, calculation, and practical…

[onemonitarsoftware]

OneMonitar: Empowering Workplace Oversight

Unlock comprehensive employee monitoring with OneMonitar. Monitor calls, track messages, ensure productivity, maintain security, and utilize GPS tracking. Enhance workplace efficiency and accountability effortlessly.

[benctech]

What Are The Benefits Of Application Performance Management Software?

APM Software places user experience and application insights at the heart of the application network infrastructure and its operating system.

[mytalentplanner]

4 Arguments for Performance Management Software Use in Small Businesses!

MyTalentPlanner helps you to develop strategy, plan, and execution plans. We provide all details about the Performance Tracking system, talent management software, Employee Efforts Aligned With Strategies, Cost Saving, etc. For more info, visit our blog today!

[please1mistress]

WARNING Flashing IMAGE and HYPNOTIC COVERT language

Inductions

Hypnosis, a fascinating and complex phenomenon, has captivated human interest for centuries. It's a state of focused attention, heightened suggestibility, and vivid fantasies. People often think of hypnosis as a deep sleep or unconsciousness, but in reality, it's more about a trance-like state where the individual is actually in heightened awareness of suggestion. Often used for therapeutic purposes, hypnosis can aid in various issues such as stress, anxiety, pain management, and certain habits like smoking. However, it's not a magical cure-all; its effectiveness varies from person to person.

Hypnosis can also be a form of entertainment, where stage hypnotists perform shows that demonstrate the power of suggestion. Despite its many applications, hypnosis remains a subject of debate among scientists and psychologists. Some view it as a powerful tool for mental health, while others caution against its potential to create false memories or its use in recovering memories, which is a controversial area within the field. It's important to approach hypnosis with a critical mind and understand that it's a complex interplay of psychological and physiological factors. If you're considering hypnotherapy, it's crucial to seek out a qualified and certified professional to ensure a safe and beneficial experience, someone like me.

You find yourself reading these words and as you read they seem to take on a life of their own, almost like magic. Your mind slows as you red larger more complex words and you may feel a soft tingle of arousal as you FOCUS on my words and feel dreamy. It's quite fascinating how the complexity of words can influence our cognitive processes. When we encounter larger, more intricate words, our brains need to work harder to decode the meaning, which can sometimes slow down your reading speed. This isn't necessarily a bad thing; it allows for deeper processing and understanding of the messages I am pushing softly into your mind. It's easy to relax and follow the words you read. It's easy to feel dreamy as your mind accepts that it wants to drop deeper.

Dropping deeper feels good, as you touch yourself and keep reading you can let go of any inhibitions or control. it's so easy to sink into a light trance, after all entering a light trance can be a simple, yet profound experience. It's a state where the conscious mind takes a step back, allowing the subconscious to surface and express itself more freely. This can happen during various activities that engage the mind in a repetitive, rhythmic manner, such as listening to music, meditating, or even during a long drive. In this state, people often find their thoughts flowing more smoothly, their creativity heightened, and their stress levels reduced. It's a moment of introspection and connection with the inner self that can provide clarity and insight. While in a light trance, the mind filters information differently, prioritizing internal dialogue and sensation, which can lead to a deeper understanding of one's thoughts and feelings. It's a natural and accessible state that can offer a respite from the hustle and bustle of daily life, and a gateway to greater self-awareness.

You are not even aware of how deeply into the trance you are, your fingers stroking your arousal for me as you read and feel a dreamy warmth spreading from your fingers into your whole body. Aware but unaware that you could stop at anytime, but you don't want that, you want to keep reading and sinking deeper and deeper as you feel arousal growing more for me. It just feels so good to give in, the very act of giving, whether it's time, resources, or kindness, has a profound impact on your well-being. It transcends the material value of what is given and touches the very essence of human connection. When you give, you're not just passing on a physical item or a piece of advice; you're sharing a part of yourselves, creating a bond that reflects your shared humanity. This act of generosity can be deeply satisfying, as it often brings joy and relief to others, which in turn enriches your own life. It's a beautiful cycle of positivity that reinforces the best parts of being a good submissive.

Giving has been shown to activate regions in our brain associated with pleasure, social connection, and trust, creating a warm glow effect. It's no wonder that the phrase "it's better to give than to receive" has resonated through the ages. This isn't just a moral suggestion; it's backed by science. Studies have found that giving to others can increase our happiness more than spending money on ourselves. This might be because when we give, we feel a sense of purpose and meaning, knowing that we've made a positive impact on someone else's life.

Moreover, the act of giving doesn't have to be grandiose to be effective. Small acts of kindness can ripple outwards and have unforeseen positive consequences. Just as a pebble creates waves when thrown into a pond, a simple gesture of generosity can spread far and wide. It's the intention behind the act that matters most, the recognition that even the smallest offering can make a significant difference.

In a world that often emphasizes individual achievement and accumulation of wealth, it's important to remember the value of generosity. It's a reminder that our interconnectedness is a source of strength, not weakness. By giving, we acknowledge that we are part of a larger community, one that thrives when its members support each other. It's a powerful acknowledgment that we are not alone in our journey through life, and that by helping others, we are also helping ourselves.

So, when we say it feels good to give in, it's not just about the act of giving up or surrendering; it's about embracing the joy of generosity. It's a celebration of the human spirit and its capacity for compassion and empathy. Giving is an affirmation that, despite the challenges we face, there is goodness in the world, and we have the power to contribute to it, one act of kindness at a time. It's a simple truth that enriches our lives and the lives of those around us, creating a legacy of goodwill that can endure beyond our own existence. Indeed, to give is to receive a gift of immeasurable value—the happiness and satisfaction that come from knowing we've played a part in making the world a little brighter.

You want to give in more deeply, message me and tell me how much you need deeper brainwashing NOW!

[lightyaoigami]

☁︎｡⋆｡ ﾟ☾ ﾟ｡⋆ how to resume ⋆｡ﾟ☾｡⋆｡ ﾟ☁︎ ﾟ

after 10 years & 6 jobs in corporate america, i would like to share how to game the system. we all want the biggest payoff for the least amount of work, right?

know thine enemy: beating the robots

i see a lot of misinformation about how AI is used to scrape resumes. i can't speak for every company but most corporations use what is called applicant tracking software (ATS).

no respectable company is using chatgpt to sort applications. i don't know how you'd even write the prompt to get a consumer-facing product to do this. i guarantee that target, walmart, bank of america, whatever, they are all using B2B SaaS enterprise solutions. there is not one hiring manager plinking away at at a large language model.

ATS scans your resume in comparison to the job posting, parses which resumes contain key words, and presents the recruiter and/or hiring manager with resumes with a high "score." the goal of writing your resume is to get your "score" as high as possible.

but tumblr user lightyaoigami, how do i beat the robots?

great question, y/n. you will want to seek out an ATS resume checker. i have personally found success with jobscan, which is not free, but works extremely well. there is a free trial period, and other ATS scanners are in fact free. some of these tools are so sophisticated that they can actually help build your resume from scratch with your input. i wrote my own resume and used jobscan to compare it to the applications i was finishing.

do not use chatgpt to write your resume or cover letter. it is painfully obvious. here is a tutorial on how to use jobscan. for the zillionth time i do not work for jobscan nor am i a #jobscanpartner i am just a person who used this tool to land a job at a challenging time.

the resume checkers will tell you what words and/or phrases you need to shoehorn into your bullet points - i.e., if you are applying for a job that requires you to be a strong collaborator, the resume checker might suggest you include the phrase "cross-functional teams." you can easily re-word your bullets to include this with a little noodling.

don't i need a cover letter?

it depends on the job. after you have about 5 years of experience, i would say that they are largely unnecessary. while i was laid off, i applied to about 100 jobs in a three-month period (#blessed to have been hired quickly). i did not submit a cover letter for any of them, and i had a solid rate of phone screens/interviews after submission despite not having a cover letter. if you are absolutely required to write one, do not have chatgpt do it for you. use a guide from a human being who knows what they are talking about, like ask a manager or betterup.

but i don't even know where to start!

i know it's hard, but you have to have a bit of entrepreneurial spirit here. google duckduckgo is your friend. don't pull any bean soup what-about-me-isms. if you truly don't know where to start, look for an ATS-optimized resume template.

a word about neurodivergence and job applications

i, like many of you, am autistic. i am intimately familiar with how painful it is to expend limited energy on this demoralizing task only to have your "reward" be an equally, if not more so, demoralizing work experience. i don't have a lot of advice for this beyond craft your worksona like you're making a d&d character (or a fursona or a sim or an OC or whatever made up blorbo generator you personally enjoy).

and, remember, while a lot of office work is really uncomfortable and involves stuff like "talking in meetings" and "answering the phone," these things are not an inherent risk. discomfort is not tantamount to danger, and we all have to do uncomfortable things in order to thrive. there are a lot of ways to do this and there is no one-size-fits-all answer. not everyone can mask for extended periods, so be your own judge of what you can or can't do.

i like to think of work as a drag show where i perform this other personality in exchange for money. it is much easier to do this than to fight tooth and nail to be unmasked at work, which can be a risk to your livelihood and peace of mind. i don't think it's a good thing that we have to mask at work, but it's an important survival skill.

⋆｡ﾟ☁︎｡⋆｡ ﾟ☾ ﾟ｡⋆ good luck ⋆｡ﾟ☾｡⋆｡ ﾟ☁︎ ﾟ｡⋆

[howlsofbloodhounds]

Because I had headcanon that Color is Autistic and has developed special interests in things such as photography, travel, maybe even things like social advocacy.

Maybe even philosophy and psychology. For now, in this posts, I’ll focus on the big two: photography and traveling. (I will also touch on how Color’s physical disability, chronic fatigue, his autism, and perhaps his ptsd/ separation anxiety from Killer also effect his ability to engage in his interests in another post.)

I think he’d develop some decent if not above average technical knowledge, such as camera types and functions. Detailed understanding of different types of cameras (DSLR, mirrorless, point-and-shoot, medium format, etc.) and their specific functions.

Knowledge about various lenses (prime, zoom, wide-angle, telephoto, macro) and their applications. Mastery of camera settings like ISO, aperture, shutter speed, and how to manipulate them for different lighting conditions and artistic effects.

In-depth understanding of how aperture, shutter speed, and ISO interact to create a properly exposed photograph. Proficiency in using software like Adobe Lightroom, Photoshop, or other photo editing tools for post-processing and enhancing images.

He’d learn about artistic elements such as composition techniques, lighten and color theory. Develop a familiarity with compositional rules like the rule of thirds, leading lines, framing, symmetry, and how to creatively break these rules.

Knowledge about natural and artificial lighting, how to use light to create mood and depth, and techniques like backlighting, side lighting, and using reflectors. Understanding of how colors interact, complementary colors, and how to use color to convey emotion and direct viewer attention.

Awareness of different photography styles (portrait, landscape, macro, street, documentary, astrophotography, etc.) and genres, and what makes each unique.

Knowledge about influential photographers and their work, such as Ansel Adams, Henri Cartier-Bresson, Annie Leibovitz, and contemporary photographers.

Understanding the evolution of photography, from daguerreotypes to digital photography, and significant milestones in the field. Awareness of current trends in photography, popular styles, and emerging technologies.

And, of course, he’d develop and grow practical experiences and hands on practice. Experience with on-location shoots, managing different weather conditions, and adapting to various shooting environments.

Knowledge about how to properly maintain and clean camera equipment to ensure longevity and optimal performance. Skills in troubleshooting common issues like lens flare, sensor dust, or focus problems.

He’d have a deep enthusiasm for specific techniques or subjects he enjoys photographing, whichever or whatever you all think those could be exactly.

Likely to have personal photography projects, well-organized portfolios, and possibly an online presence showcasing their work. Extensive collection of books, articles, videos, and tutorials related to photography.

A special interest in traveling, in addition to photography, would manifest in the character in several ways, showcasing their passion and extensive knowledge about various aspects of travel. Here are some specific aspects:

For his interest in travel, he’d be very well versed in the planning and research process. Color might create comprehensive travel itineraries, meticulously planning each day's activities, routes, and schedules.

He might gradually develop an extensive knowledge about various travel destinations, including historical sites, natural landmarks, cultural attractions, and lesser-known gems.

He’d display a proficiency in booking flights, accommodations, and transportation, as well as understanding visa requirements, travel insurance, and local regulations.

An expertise in packing efficiently, knowing what to bring for different climates and activities, and how to pack photography gear safely for travel. Color is likely to show a very deep and profound appreciation for different cultures, learning basic phrases or even fluency in multiple languages to better communicate while traveling.

He’d definitely show a deep interest in trying and understanding local cuisines, knowing popular dishes, and even recipes from various regions. He’d have at least some knowledge about local customs, traditions, festivals, and etiquette to respect and immerse themselves in different cultures.

He’d certainly develop some geographical and historical knowledge, with a detailed understanding of world geography, maps, and the ability to navigate using traditional maps as well as digital tools.

Knowledge about the history of the places he visits, including significant events, historical figures, and the cultural evolution of the region.

He might maintain detailed travel logs or journals documenting his experiences, including photos, notes, and personal reflections. He’d definitely collect souvenirs, postcards, or other memorabilia from his travels; often gifting them to beloved friends.

He’d probably engage with travel communities, forums, and social media groups to share experiences and gain insights.

This special interest would possibly lead to him gaining a lot of practical skills, such as in budget management. Expertise in budgeting for travel, finding deals, and managing expenses effectively.

He might display an ability to adapt to different environments, handle unexpected situations, and problem-solve while on the go.

Although it’d probably be harder for him than most, particularly if he has a harder time handling and dealing with change—especially if the change is unexpected and unplanned.

Knowledge about staying healthy while traveling, such as understanding local healthcare options, vaccinations, and travel safety tips.

He’d like combine both interests by using his photography skills to capture stunning images of the places he visits, creating travel blogs or photo albums to document his journeys.

He might create photo essays or visual stories that capture the essence of the cultures and places he explores. Share his travel experiences and recommendations with others, possibly through writing travel guides, blogs, or social media content.

All this is to say that Killer would definitely encourage Color to come with him to explore abandoned places and ghost towns, and Color’s going to be so overjoyed he starts hand flapping. He’s going to take so many pictures, he’s going to remember it forever.

[askagamedev]

Summer 2025 Game Development Student Internship Roundup, Part 1

Internship recruiting season has begun for some large game publishers and developers. This means that a number of internship opportunities for summer 2025 have been posted and will be collecting applicants. Internships are a great way to earn some experience in a professional environment and to get mentorship from those of us in the trenches. If you're a student and you have an interest in game development as a career, you should absolutely look into these.

If you know of any game development internships that aren't listed here, please tell me! I'll try to collect another batch when EA posts theirs as a follow-up.

Technical Artist Intern (Remote!)

Sound Design Intern (Remote!)

Game Design Intern

Game Engineering Intern

Data Analytics & Data Science Intern

Localization Production Intern

Environment Art Intern

Animation Intern

VFX Intern

3D Character Art Intern

Site Reliability Engineering Intern

Concept Artist Intern (Canada)

Animation Intern

VFX Intern

Game Engineering Intern

Technical Artist Intern

Threat Intelligence Analyst Intern

UI/UX Design Intern

User Research Intern

Computer Graphics Intern

Software Engineering Intern

Production & Project Management Intern

Concept Artist Intern (California)

World Designer Intern

3D Artist Intern

Animation Programmer Intern

Animation Technical Design Intern

Audio Design Intern

Backend Engineer Intern

Balance Design Intern

Character Artist Intern

Engine Programmer Intern

Environment Art Intern

Game Design Intern

Game Security Intern

Gameplay Programmer Intern

Gameplay Systems Engineer Intern

Salesforce Developer Intern

Software Engineer Intern

Environment Art Intern

Game Design Intern

Gameplay Programmer Intern

Tools Programmer Intern

Technical Artist Intern

Technical Character Animation Intern

Technology App Portfolio Intern

Tools Programmer Intern

Concept Artist Intern

At time of writing, Electronic Arts was performing maintenance on their recruiting site and should have new openings posted on November 12th 2024. I'll do a second round of internship opportunities once they post, along with Ubisoft and any others I missed.

Brush up your resume and focus on any game dev work you've done. Amateur game dev work counts! Tabletop game mastering counts! Amateur board and card game design counts! Making your own CCG fan sets or draft cube counts! Game jam work counts! These make a bigger difference when it comes to hiring than most other kinds of work experience.

If you need assistance with your resume/CV, cover letter, or have other questions, join our discord and ask. The server is full of experienced developers who can help review your materials and give you suggestions. I also suggest taking a look at my Game Career FAQ. There's a lot of answers in there already. Best of luck out there.

[Join us on Discord] and/or [Support us on Patreon]

Got a burning question you want answered?

Short questions: Ask a Game Dev on Twitter

Long questions: Ask a Game Dev on Tumblr

Frequent Questions: The FAQ

[alternativeeducation-10]

Here are seven ways to make programming more engaging for beginners.

Introduction

For newcomers, programming might be frightening. For many, the new material's syntax, logic, and sheer amount might be depressing. Nonetheless, programming doesn't have to be very difficult or tiresome. Programming can be made more engaging and fulfilling by incorporating innovative, enjoyable, and useful methods. This article will examine seven methods for improving novice programmers' engagement, which will make learning programming easier and more pleasurable.

1. Start With Visual Programming Tools

Start with visual programming tools like Scratch, Blockly, or Tynker before writing complex code. Using these platforms, novices can drag and drop code blocks to construct simple programs, games, and animations. Visual tools make learning more interactive and enjoyable by breaking down complicated programming concepts and provide instantaneous visual feedback.

Benefits:

Improves understanding of programming fundamentals.

Allows newcomers to see the effects of their efforts immediately.

Encourages creativity through cartoons and games.

2. Focus On Interactive Learning Platforms

Students can write code directly in their browsers and see the results in real time with interactive classes offered by platforms like Codecademy, Khan Academy, and freeCodeCamp. These platforms often provide assistance or instant feedback and break down programming into manageable tasks. Interactive learning helps users solve difficulties and keeps the learning process moving forward while lowering irritation.

Benefits:

Immediate feedback allows for easy error correction.

Lessons are organised into convenient parts.

Gamified learning systems can help to sustain engagement.

3. Work On Real-Life Projects Early

Learning programming through real-world applications increases its relevance and fun factor. Novices can concentrate on projects that pique their interest, such creating a simple app, automating a tedious task, or creating a personal website. Students get a feeling of purpose from real-world projects, which piques their interest in coding and makes them more enthusiastic about it.

Benefits:

Improves understanding of theoretical concepts.

Increases confidence as students create actual things.

Offers a clear purpose and a sense of accomplishment.

4. Learn Through Games

Learning programming can be facilitated by creating or playing games. Some examples of platforms and games designed specifically for teaching programming are CodeCombat, Robocode, and CheckiO. Through the resolution of code puzzles, students advance in these games that transform coding assignments into adventures.

Benefits:

Creates a fun and competitive learning atmosphere.

Encourages critical thinking and problem-solving skills.

Engages students who may find standard lessons unappealing.

5. Incorporate Pair Programming

When two programmers work together on a single task, it's called pair programming. Real-time code reviews are performed by one person after it has been written. Through discussion and shared knowledge, this collaborative learning approach helps students acquire problem-solving methods while also making programming more socially engaging.

Benefits:

Promotes teamwork and communication skills.

Provides fast feedback and reduces errors.

Helps to overcome learning plateaus through shared expertise.

6. Celebrate Small Wins

Programming can occasionally seem like a laborious process with little payoff, especially when faced with challenging problems. It's crucial to acknowledge small accomplishments in order to stay motivated. Acknowledging successes, no matter how small, can give much-needed morale support.

Benefits:

Encourages an optimistic approach to learning.

Recognising progress helps to boost confidence.

Reinforces a growth mentality, increasing learners’ resilience.

7. Join Coding Communities

Learning to program could be more enjoyable if you're a part of a helpful group. Newcomers can participate in local coding meetings and online forums like Stack Overflow and GitHub. These websites offer opportunities for collaboration, mentoring, and inspiration from people who share similar interests.

Benefits:

Access to a plethora of common knowledge.

Promotes collaboration on open-source initiatives.

Creates a network of mentors and peers to share experiences and insights.

Conclusion

By using these suggestions, learning to program doesn't have to be a daunting task; instead, it can be interesting and fun. In order to keep beginners interested in programming and inspired, we at the School of Coding & AI employ a variety of strategies, including interactive tools, real-world projects, and community involvement.

[d0nutzgg]

Predicting Alzheimer's With Machine Learning

Alzheimer's disease is a progressive neurodegenerative disorder that affects millions of people worldwide. Early diagnosis is crucial for managing the disease and potentially slowing its progression. My interest in this area is deeply personal. My great grandmother, Bonnie, passed away from Alzheimer's in 2000, and my grandmother, Jonette, who is Bonnie's daughter, is currently exhibiting symptoms of the disease. This personal connection has motivated me to apply my skills as a data scientist to contribute to the ongoing research in Alzheimer's disease.

Model Creation

The first step in creating the model was to identify relevant features that could potentially influence the onset of Alzheimer's disease. After careful consideration, I chose the following features: Mini-Mental State Examination (MMSE), Clinical Dementia Rating (CDR), Socioeconomic Status (SES), and Normalized Whole Brain Volume (nWBV).

MMSE: This is a commonly used test for cognitive function and mental status. Lower scores on the MMSE can indicate severe cognitive impairment, a common symptom of Alzheimer's.

CDR: This is a numeric scale used to quantify the severity of symptoms of dementia. A higher CDR score can indicate more severe dementia.

SES: Socioeconomic status has been found to influence health outcomes, including cognitive function and dementia.

nWBV: This represents the volume of the brain, adjusted for head size. A decrease in nWBV can be indicative of brain atrophy, a common symptom of Alzheimer's.

After selecting these features, I used a combination of Logistic Regression and Random Forest Classifier models in a Stacking Classifier to predict the onset of Alzheimer's disease. The model was trained on a dataset with these selected features and then tested on a separate dataset to evaluate its performance.

Model Performance

To validate the model's performance, I used a ROC curve plot (below), as well as a cross-validation accuracy scoring mechanism.

The ROC curve (Receiver Operating Characteristic curve) is a plot that illustrates the diagnostic ability of a model as its discrimination threshold is varied. It is great for visualizing the accuracy of binary classification models. The curve is created by plotting the true positive rate (TPR) against the false positive rate (FPR) at various threshold settings.

The area under the ROC curve, often referred to as the AUC (Area Under the Curve), provides a measure of the model's ability to distinguish between positive and negative classes. The AUC can be interpreted as the probability that the model will rank a randomly chosen positive instance higher than a randomly chosen negative one.

The AUC value ranges from 0 to 1. An AUC of 0.5 suggests no discrimination (i.e., the model has no ability to distinguish between positive and negative classes), 1 represents perfect discrimination (i.e., the model has perfect ability to distinguish between positive and negative classes), and 0 represents total misclassification.

The model's score of an AUC of 0.98 is excellent. It suggests that the model has a very high ability to distinguish between positive and negative classes.

The model also performed extremely well in another test, which showed the model has a final cross-validation score of 0.953. This high score indicates that the model was able to accurately predict the onset of Alzheimer's disease based on the selected features.

However, it's important to note that while this model can be a useful tool for predicting Alzheimer's disease, it should not be the sole basis for a diagnosis. Doctors should consider all aspects of diagnostic information when making a diagnosis.

Conclusion

The development and application of machine learning models like this one are revolutionizing the medical field. They offer the potential for early diagnosis of neurodegenerative diseases like Alzheimer's, which can significantly improve patient outcomes. However, these models are tools to assist healthcare professionals, not replace them. The human element in medicine, including a comprehensive understanding of the patient's health history and symptoms, remains crucial.

Despite the challenges, the potential of machine learning models in improving early diagnosis leaves me and my family hopeful. As we continue to advance in technology and research, we move closer to a world where diseases like Alzheimer's can be effectively managed, and hopefully, one day, cured.

[database-design-tech]

The Great Data Cleanup: A Database Design Adventure

As a budding database engineer, I found myself in a situation that was both daunting and hilarious. Our company's application was running slower than a turtle in peanut butter, and no one could figure out why. That is, until I decided to take a closer look at the database design.

It all began when my boss, a stern woman with a penchant for dramatic entrances, stormed into my cubicle. "Listen up, rookie," she barked (despite the fact that I was quite experienced by this point). "The marketing team is in an uproar over the app's performance. Think you can sort this mess out?"

Challenge accepted! I cracked my knuckles, took a deep breath, and dove headfirst into the database, ready to untangle the digital spaghetti.

The schema was a sight to behold—if you were a fan of chaos, that is. Tables were crammed with redundant data, and the relationships between them made as much sense as a platypus in a tuxedo.

"Okay," I told myself, "time to unleash the power of database normalization."

First, I identified the main entities—clients, transactions, products, and so forth. Then, I dissected each entity into its basic components, ruthlessly eliminating any unnecessary duplication.

For example, the original "clients" table was a hot mess. It had fields for the client's name, address, phone number, and email, but it also inexplicably included fields for the account manager's name and contact information. Data redundancy alert!

So, I created a new "account_managers" table to store all that information, and linked the clients back to their account managers using a foreign key. Boom! Normalized.

Next, I tackled the transactions table. It was a jumble of product details, shipping info, and payment data. I split it into three distinct tables—one for the transaction header, one for the line items, and one for the shipping and payment details.

"This is starting to look promising," I thought, giving myself an imaginary high-five.

After several more rounds of table splitting and relationship building, the database was looking sleek, streamlined, and ready for action. I couldn't wait to see the results.

Sure enough, the next day, when the marketing team tested the app, it was like night and day. The pages loaded in a flash, and the users were practically singing my praises (okay, maybe not singing, but definitely less cranky).

My boss, who was not one for effusive praise, gave me a rare smile and said, "Good job, rookie. I knew you had it in you."

From that day forward, I became the go-to person for all things database-related. And you know what? I actually enjoyed the challenge. It's like solving a complex puzzle, but with a lot more coffee and SQL.

So, if you ever find yourself dealing with a sluggish app and a tangled database, don't panic. Grab a strong cup of coffee, roll up your sleeves, and dive into the normalization process. Trust me, your users (and your boss) will be eternally grateful.

Step-by-Step Guide to Database Normalization

Here's the step-by-step process I used to normalize the database and resolve the performance issues. I used an online database design tool to visualize this design. Here's what I did:

Original Clients Table:

ClientID int

ClientName varchar

ClientAddress varchar

ClientPhone varchar

ClientEmail varchar

AccountManagerName varchar

AccountManagerPhone varchar

Step 1: Separate the Account Managers information into a new table:

AccountManagers Table:

AccountManagerID int

AccountManagerName varchar

AccountManagerPhone varchar

Updated Clients Table:

ClientID int

ClientName varchar

ClientAddress varchar

ClientPhone varchar

ClientEmail varchar

AccountManagerID int

Step 2: Separate the Transactions information into a new table:

Transactions Table:

TransactionID int

ClientID int

TransactionDate date

ShippingAddress varchar

ShippingPhone varchar

PaymentMethod varchar

PaymentDetails varchar

Step 3: Separate the Transaction Line Items into a new table:

TransactionLineItems Table:

LineItemID int

TransactionID int

ProductID int

Quantity int

UnitPrice decimal

Step 4: Create a separate table for Products:

Products Table:

ProductID int

ProductName varchar

ProductDescription varchar

UnitPrice decimal

After these normalization steps, the database structure was much cleaner and more efficient. Here's how the relationships between the tables would look:

Clients --< Transactions >-- TransactionLineItems

Clients --< AccountManagers

Transactions --< Products

By separating the data into these normalized tables, we eliminated data redundancy, improved data integrity, and made the database more scalable. The application's performance should now be significantly faster, as the database can efficiently retrieve and process the data it needs.

Conclusion

After a whirlwind week of wrestling with spreadsheets and SQL queries, the database normalization project was complete. I leaned back, took a deep breath, and admired my work.

The previously chaotic mess of data had been transformed into a sleek, efficient database structure. Redundant information was a thing of the past, and the performance was snappy.

I couldn't wait to show my boss the results. As I walked into her office, she looked up with a hopeful glint in her eye.

"Well, rookie," she began, "any progress on that database issue?"

I grinned. "Absolutely. Let me show you."

I pulled up the new database schema on her screen, walking her through each step of the normalization process. Her eyes widened with every explanation.

"Incredible! I never realized database design could be so... detailed," she exclaimed.

When I finished, she leaned back, a satisfied smile spreading across her face.

"Fantastic job, rookie. I knew you were the right person for this." She paused, then added, "I think this calls for a celebratory lunch. My treat. What do you say?"

I didn't need to be asked twice. As we headed out, a wave of pride and accomplishment washed over me. It had been hard work, but the payoff was worth it. Not only had I solved a critical issue for the business, but I'd also cemented my reputation as the go-to database guru.

From that day on, whenever performance issues or data management challenges cropped up, my boss would come knocking. And you know what? I didn't mind one bit. It was the perfect opportunity to flex my normalization muscles and keep that database running smoothly.

So, if you ever find yourself in a similar situation—a sluggish app, a tangled database, and a boss breathing down your neck—remember: normalization is your ally. Embrace the challenge, dive into the data, and watch your application transform into a lean, mean, performance-boosting machine.

And don't forget to ask your boss out for lunch. You've earned it!