#Applications Integration

[kibibarel]

i need to complain and you're the only N liker i trust... whys every N rper have such a boring interpretation of him.... like at LEAST make him obsessed with math 😭😭😭

N is a fan favorite, which means you get way more people than usual attempting to write him, which means he tends to get subjected to more fanon...that's my theory

because he's a fan favorite, i think he's also the type of character that people like to pick up and project themselves onto, even if it means removing a lot of the nuance in his canon character. back when i was still RPing him on tumblr myself (which, granted, was almost a decade ago now...geez) it was also very in vogue to put him through so many layers of AU that he was basically just an OC lmao...tumblr Gladions are also like this in my experience. so many wildly out-of-character boys out there

anyway my advice to N writers is you don't even really need to know math to write N's math stuff true to canon...just have him throw out the word "formula" or "theorem" every now and then. that's what i did LMAO......this math shit is easy

[glasierinc]

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[aeide-thea]

truly just SUCH a typical tumblr experience but like.

Familiar Tumblr Name makes a post that's like: 'you know how fast fashion perpetuates itself by selling us clothing that gets dingy and grody really fast, so we have to replace it yearly?'

me: uh, no, actually—historically i've found that the few fast fashion pieces i acquired long outstayed their welcome, and were perfectly wearable long after i was heartily sick of them! but go on, i guess

FTN: 'let me tell you about this traditional domestic wisdom (implied: that's been lost because of, uh, capitalism) that will fix this problem (that you, too, definitely have) for you!'

me, googling: okay so this residue that FTN said was somehow a Fast Fashion thing is apparently generally caused by like. fabric softener and/or hard water. using discount detergents that skimp on active ingredients. using too much detergent so it doesn't wash out. letting your bedding go too long between washes. letting your washer go too long between cleans. etc. anyway. lots of specific factors here, many of which may in fact not apply to you in particular!

but like. why get specific when instead we could assert You Know This Problem, Right? This Lost Traditional Wisdom Will Definitely Help You Personally!!

[swayaminfotech]

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[gammaraydeath]

"you can be a fan of a game without playing it" "it's valid to hate the gameplay and just watch the cutscenes" wrong. i'm doing this to you

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[supernovaa-remnant]

astronomy is my passion but calc... calc is my enemy

[vanillabat99]

The other day I was hanging out with my partner and I got overwhelmed and wasn't able to communicate verbally, which happens sometimes, and I ended up stringing together various discord emojis to communicate. This then prompted my partner to provide me with my own communicative emojis to use, which is so sweet!! Even though I am able to communicate through words the majority of the time, it has been fantastic to have the addition of special emojis :3

I have been worried about trying alternative communication, and while the reasoning behind taking this step was a frustrating necessity, I am very glad to have gotten access to a wider range of ways to communicate :3

[websyn]

Azure IoT Central: Revolutionizing IoT Solutions for Manufacturing Industries

Azure IoT Central is a cutting-edge platform built on the foundation of Azure IoT, offering a model-based approach to empower businesses in constructing enterprise-grade IoT solutions. Designed with the aim of eliminating the need for cloud-solution development expertise, Azure IoT Central provides a comprehensive software as a service (SaaS) solution. With its built-in templates for various industries, device provisioning services, and feature-rich dashboards, it enables seamless monitoring of device health, connectivity, management, and communication.

Streamlining Manufacturing Operations with Azure IoT Central

In the realm of manufacturing, Azure IoT Central proves to be a game-changer by facilitating the seamless connection, management, and monitoring of industrial assets. By leveraging Azure IoT Central, manufacturing industries can effortlessly integrate data into their applications, enabling them to make data-driven decisions and unlock operational efficiencies. With its user-friendly interface and powerful capabilities, Azure IoT Central empowers manufacturers to gain valuable insights from their assets and drive productivity.

Key Features and Benefits

Template-based Solution: Azure IoT Central offers pre-built templates tailored for various industries, enabling businesses to quickly deploy IoT solutions without extensive customization. These templates encompass a wide range of applications, including asset tracking, predictive maintenance, and remote monitoring, among others.

Device Provisioning Services: Simplifying the process of onboarding devices, Azure IoT Central provides robust device provisioning services. This feature streamlines the connection and configuration of devices, ensuring seamless integration into the IoT ecosystem.

Comprehensive Dashboard: Azure IoT Central's intuitive dashboard empowers businesses to monitor and manage their IoT devices effectively. From tracking device health and connectivity to managing firmware updates and troubleshooting, the dashboard provides real-time insights and facilitates proactive maintenance.

Secure and Scalable: Built on the trusted Azure IoT platform, Azure IoT Central ensures top-notch security for sensitive data and device communications. Moreover, it offers scalability to accommodate growing business needs, allowing seamless expansion without compromising performance.

Integration Capabilities: Azure IoT Central seamlessly integrates with other Azure services, such as Azure Machine Learning and Azure Stream Analytics, enabling advanced analytics, machine learning capabilities, and seamless data integration across the Azure ecosystem.

Unlocking the Potential of IoT in Manufacturing

By harnessing the power of Azure IoT Central, manufacturing industries can revolutionize their operations and tap into the full potential of IoT. Here's how Azure IoT Central can benefit manufacturing businesses:

Enhanced Operational Efficiency: Real-time monitoring and analysis of industrial assets enable proactive maintenance, minimizing downtime and optimizing operations. Predictive maintenance and condition monitoring enable businesses to identify and address potential issues before they escalate.

Improved Product Quality: IoT-enabled sensors and devices collect data throughout the production process, ensuring quality control and adherence to standards. Businesses can gain valuable insights into product performance, identify defects, and take corrective measures promptly.

Cost Optimization: By leveraging Azure IoT Central, manufacturers can optimize resource allocation, reduce energy consumption, and streamline maintenance processes. Data-driven insights enable businesses to make informed decisions, resulting in cost savings and improved profitability.

Enhanced Safety and Compliance: IoT devices and sensors can monitor environmental conditions, ensuring a safe working environment for employees. Moreover, businesses can leverage IoT data to comply with industry regulations and maintain quality standards.

Get Started with Azure IoT Central Today

Take the first step toward transforming your manufacturing operations with Azure IoT Central. Leverage its advanced features, comprehensive templates, and user-friendly interface to build robust IoT solutions that propel your business forward. Embrace the power of data, streamline your operations, and unlock unparalleled insights with Azure IoT Central.

[bdccglobal]

Introducing AWS AppFabric - the ultimate solution for managing your SaaS applications!

With just a few clicks, you can easily connect and manage your apps on the cloud.

Say goodbye to complex integrations and hello to seamless app management.

[helyeahmangocheese]

hotter take: annabeth would love being an NAAB/NCARB Licensed Architect and would fucking EAT up the construction & evaluation, programming & analysis, project management sections, and actually would give little to no shits about the european history of architecture taught in school

miss "at least with the gods there are rules" would love memorizing building codes, miss "omg is that celestial bronze" would love materials science, building construction, environmental science part of studies, and miss "build something that lasts" would be such a troublemaker about urban design and the systemic change that is required to be able to build good buildings to begin with

I know it’s controversial but I think Annabeth geeking out over the Hephaestus contraptions was adorable

[jcmarchi]

Aaron Kesler, Director of AI Product Management at SnapLogic – Interview Series

New Post has been published on https://thedigitalinsider.com/aaron-kesler-director-of-ai-product-management-at-snaplogic-interview-series/

Aaron Kesler, Director of AI Product Management at SnapLogic – Interview Series

Aaron Kesler, Director of AI Product Management at SnapLogic, is a certified product leader with over a decade of experience building scalable frameworks that blend design thinking, jobs to be done, and product discovery. He focuses on developing new AI-driven products and processes while mentoring aspiring PMs through his blog and coaching on strategy, execution, and customer-centric development.

SnapLogic is an AI-powered integration platform that helps enterprises connect applications, data, and APIs quickly and efficiently. With its low-code interface and intelligent automation, SnapLogic enables faster digital transformation across data engineering, IT, and business teams.

You’ve had quite the entrepreneurial journey, starting STAK in college and going on to be acquired by Carvertise. How did those early experiences shape your product mindset?

This was a really interesting time in my life. My roommate and I started STAK because we were bored with our coursework and wanted real-world experience. We never imagined it would lead to us getting acquired by what became Delaware’s poster startup. That experience really shaped my product mindset because I naturally gravitated toward talking to businesses, asking them about their problems, and building solutions. I didn’t even know what a product manager was back then—I was just doing the job.

At Carvertise, I started doing the same thing: working with their customers to understand pain points and develop solutions—again, well before I had the PM title. As an engineer, your job is to solve problems with technology. As a product manager, your job shifts to finding the right problems—the ones that are worth solving because they also drive business value. As an entrepreneur, especially without funding, your mindset becomes: how do I solve someone’s problem in a way that helps me put food on the table? That early scrappiness and hustle taught me to always look through different lenses. Whether you’re at a self-funded startup, a VC-backed company, or a healthcare giant, Maslow’s “basic need” mentality will always be the foundation.

You talk about your passion for coaching aspiring product managers. What advice do you wish you had when you were breaking into product?

The best advice I ever got—and the advice I give to aspiring PMs—is: “If you always argue from the customer’s perspective, you’ll never lose an argument.” That line is deceptively simple but incredibly powerful. It means you need to truly understand your customer—their needs, pain points, behavior, and context—so you’re not just showing up to meetings with opinions, but with insights. Without that, everything becomes HIPPO (highest paid person’s opinion), a battle of who has more power or louder opinions. With it, you become the person people turn to for clarity.

You’ve previously stated that every employee will soon work alongside a dozen AI agents. What does this AI-augmented future look like in a day-to-day workflow?

What may be interesting is that we are already in a reality where people are working with multiple AI agents – we’ve helped our customers like DCU plan, build, test, safeguard, and put dozens of agents to help their workforce. What’s fascinating is companies are building out organization charts of AI coworkers for each employee, based on their needs. For example, employees will have their own AI agents dedicated to certain use cases—such as an agent for drafting epics/user stories, one that assists with coding or prototyping or issues pull requests, and another that analyzes customer feedback – all sanctioned and orchestrated by IT because there’s a lot on the backend determining who has access to which data, which agents need to adhere to governance guidelines, etc. I don’t believe agents will replace humans, yet. There will be a human in the loop for the foreseeable future but they will remove the repetitive, low-value tasks so people can focus on higher-level thinking. In five years, I expect most teams will rely on agents the same way we rely on Slack or Google Docs today.

How do you recommend companies bridge the AI literacy gap between technical and non-technical teams?

Start small, have a clear plan of how this fits in with your data and application integration strategy, keep it hands-on to catch any surprises, and be open to iterating from the original goals and approach. Find problems by getting curious about the mundane tasks in your business. The highest-value problems to solve are often the boring ones that the unsung heroes are solving every day. We learned a lot of these best practices firsthand as we built agents to assist our SnapLogic finance department. The most important approach is to make sure you have secure guardrails on what types of data and applications certain employees or departments have access to.

Then companies should treat it like a college course: explain key terms simply, give people a chance to try tools themselves in controlled environments, and then follow up with deeper dives. We also make it known that it is okay not to know everything. AI is evolving fast, and no one’s an expert in every area. The key is helping teams understand what’s possible and giving them the confidence to ask the right questions.

What are some effective strategies you’ve seen for AI upskilling that go beyond generic training modules?

The best approach I’ve seen is letting people get their hands on it. Training is a great start—you need to show them how AI actually helps with the work they’re already doing. From there, treat this as a sanctioned approach to shadow IT, or shadow agents, as employees are creative to find solutions that may solve super particular problems only they have. We gave our field team and non-technical teams access to AgentCreator, SnapLogic’s agentic AI technology that eliminates the complexity of enterprise AI adoption, and empowered them to try building something and to report back with questions. This exercise led to real learning experiences because it was tied to their day-to-day work.

Do you see a risk in companies adopting AI tools without proper upskilling—what are some of the most common pitfalls?

The biggest risks I’ve seen are substantial governance and/or data security violations, which can lead to costly regulatory fines and the potential of putting customers’ data at risk.  However, some of the most frequent risks I see are companies adopting AI tools without fully understanding what they are and are not capable of. AI isn’t magic. If your data is a mess or your teams don’t know how to use the tools, you’re not going to see value. Another issue is when organizations push adoption from the top down and don’t take into consideration the people actually executing the work. You can’t just roll something out and expect it to stick. You need champions to educate and guide folks, teams need a strong data strategy, time, and context to put up guardrails, and space to learn.

At SnapLogic, you’re working on new product development. How does AI factor into your product strategy today?

AI and customer feedback are at the heart of our product innovation strategy. It’s not just about adding AI features, it’s about rethinking how we can continually deliver more efficient and easy-to-use solutions for our customers that simplify how they interact with integrations and automation. We’re building products with both power users and non-technical users in mind—and AI helps bridge that gap.

How does SnapLogic’s AgentCreator tool help businesses build their own AI agents? Can you share a use case where this had a big impact?

AgentCreator is designed to help teams build real, enterprise-grade AI agents without writing a single line of code. It eliminates the need for experienced Python developers to build LLM-based applications from scratch and empowers teams across finance, HR, marketing, and IT to create AI-powered agents in just hours using natural language prompts. These agents are tightly integrated with enterprise data, so they can do more than just respond. Integrated agents automate complex workflows, reason through decisions, and act in real time, all within the business context.

AgentCreator has been a game-changer for our customers like Independent Bank, which used AgentCreator to launch voice and chat assistants to reduce the IT help desk ticket backlog and free up IT resources to focus on new GenAI initiatives. In addition, benefits administration provider Aptia used AgentCreator to automate one of its most manual and resource-intensive processes: benefits elections. What used to take hours of backend data entry now takes minutes, thanks to AI agents that streamline data translation and validation across systems.

SnapGPT allows integration via natural language. How has this democratized access for non-technical users?

SnapGPT, our integration copilot, is a great example of how GenAI is breaking down barriers in enterprise software. With it, users ranging from non-technical to technical can describe the outcome they want using simple natural language prompts—like asking to connect two systems or triggering a workflow—and the integration is built for them. SnapGPT goes beyond building integration pipelines—users can describe pipelines, create documentation, generate SQL queries and expressions, and transform data from one format to another with a simple prompt. It turns out, what was once a developer-heavy process into something accessible to employees across the business. It’s not just about saving time—it’s about shifting who gets to build. When more people across the business can contribute, you unlock faster iteration and more innovation.

What makes SnapLogic’s AI tools—like AutoSuggest and SnapGPT—different from other integration platforms on the market?

SnapLogic is the first generative integration platform that continuously unlocks the value of data across the modern enterprise at unprecedented speed and scale. With the ability to build cutting-edge GenAI applications in just hours — without writing code — along with SnapGPT, the first and most advanced GenAI-powered integration copilot, organizations can vastly accelerate business value. Other competitors’ GenAI capabilities are lacking or nonexistent. Unlike much of the competition, SnapLogic was born in the cloud and is purpose-built to manage the complexities of cloud, on-premises, and hybrid environments.

SnapLogic offers iterative development features, including automated validation and schema-on-read, which empower teams to finish projects faster. These features enable more integrators of varying skill levels to get up and running quickly, unlike competitors that mostly require highly skilled developers, which can slow down implementation significantly. SnapLogic is a highly performant platform that processes over four trillion documents monthly and can efficiently move data to data lakes and warehouses, while some competitors lack support for real-time integration and cannot support hybrid environments.

 What excites you most about the future of product management in an AI-driven world?

What excites me most about the future of product management is the rise of one of the latest buzzwords to grace the AI space “vibe coding”—the ability to build working prototypes using natural language. I envision a world where everyone in the product trio—design, product management, and engineering—is hands-on with tools that translate ideas into real, functional solutions in real time. Instead of relying solely on engineers and designers to bring ideas to life, everyone will be able to create and iterate quickly.

Imagine being on a customer call and, in the moment, prototyping a live solution using their actual data. Instead of just listening to their proposed solutions, we could co-create with them and uncover better ways to solve their problems. This shift will make the product development process dramatically more collaborative, creative, and aligned. And that excites me because my favorite part of the job is building alongside others to solve meaningful problems.

Thank you for the great interview, readers who wish to learn more should visit SnapLogic. 

[pastorhogg]

Self-Examination Before Ministry

A Pastor’s Perspective Life Lessons Learned In the journey of faith, there’s a profound truth that has shaped my ministry over the years: before we can effectively guide others, we must first look inward. This principle of self-examination resonates deeply with Paul’s words to the Corinthians: “Test yourselves to see if you are in the faith. Examine yourselves! Or do you not recognize regarding…

[techniecode]

Loan Origination Software Customization: Tailored Solutions for Modern Lending

In the ever-evolving financial landscape, lenders need systems that go beyond basic functionality. Off-the-shelf solutions often lack the flexibility required to meet unique business processes, regulatory needs, and customer expectations. That’s where loan origination software customization comes in.

Customizing your loan origination software (LOS) ensures the system aligns with your operational workflow, compliance requirements, and business goals. Whether you're a credit union, bank, or independent lender, tailored LOS solutions help optimize efficiency, reduce errors, and enhance the borrower experience.

What Is Loan Origination Software Customization?

Loan origination software customization involves configuring and enhancing a platform’s features to support specific lending workflows and business rules. Rather than using a one-size-fits-all system, customization enables organizations to build a more intuitive, responsive, and compliant lending environment.

Common areas of customization include:

Custom Workflows Define and automate stages of the loan process, such as application review, underwriting, closing, and post-closing.

Role-Based Dashboards Create personalized interfaces for loan officers, processors, underwriters, and compliance teams.

Automated Rules and Alerts Implement business logic to trigger actions, notifications, or validations based on borrower information or loan status.

Document Management Customize eFolder templates and document requests to match loan types and investor requirements.

Third-Party Integrations Seamlessly connect with credit bureaus, appraisal systems, CRM platforms, and e-signature providers.

Reporting and Analytics Build dashboards and reports tailored to management, compliance, and operational performance.

Benefits of LOS Customization

Improved Efficiency Automation of routine tasks and custom workflows accelerates the lending process and reduces human error.

Enhanced Compliance Custom rules and audit trails help ensure adherence to regulatory standards, investor guidelines, and internal policies.

Better User Experience Simplified user interfaces and role-specific tools improve system adoption and productivity.

Greater Flexibility Support for multiple loan products, business lines, or branches with system settings that reflect your organizational structure.

Scalability A customized LOS grows with your business, adapting to new markets, regulatory changes, or product expansions.

Who Should Consider LOS Customization?

Growing lenders needing scalable systems

Organizations with unique compliance needs

Firms offering specialized loan products

Teams looking to reduce turnaround times

Operations leaders seeking better data insights

Whether you're implementing a new LOS or optimizing an existing one, customization is key to achieving sustainable success in a competitive market.

Best Practices for Successful Customization

Start with Process Mapping Understand your current workflows and identify inefficiencies before building custom features.

Involve Key Stakeholders Engage users from multiple departments—operations, compliance, IT, and front-line staff—to ensure solutions meet real-world needs.

Prioritize Compliance Build in validation checks, data integrity rules, and reporting tools from the start to avoid costly retrofits later.

Test Before Launching Run test cases and pilot programs to catch bugs and refine user experience.

Plan for Ongoing Maintenance LOS platforms evolve. Regular reviews and updates keep custom features aligned with business and regulatory changes.

Conclusion

Loan origination software customization allows lenders to transform generic systems into powerful, purpose-built tools. From improving workflows and compliance to enabling seamless integrations and insightful reporting, customization helps your team work smarter, serve clients better, and stay ahead in an increasingly complex lending environment.

[rhinorapscallion]

I second this, also note:

Firefox and Safari are the only two widely used browsers that don’t use chrome’s web engine.

Brave? Chromium

Edge? Chromium

Opera (including GX)? Chromium.

Assuming you’re not using safari, if you’re not using Firefox, you’re probably using some type of chromium based browser.

Not that chromium in of itself is a bad thing (It’s FOSS, but managed by google), but it could definitely turn sour, especially with google’s rolling changes that make the internet harder to use, such as their Web Integrity API, which is essentially DRM for everything you do online, but instead of actually serving a purpose most people understand, it just serves to send information about your web “environment” to servers you have no control over to verify you’re using the internet to their standards, all under the guise of increasing security, how fun! (There are cases where it technically would increase security, but after reviewing the proposal, it isn’t worth it. Most of the problems it would solve, we already have less invasive tools for.)

Another fun fact, some desktop apps use the web as a front end, this framework is called electron and is also chromium based. Notable examples include VS Code and Discord.

PSA