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Designing Livable Cities: How City Design Renderings Contribute to High quality of Life


Image your best neighborhood: extensive, tree-lined sidewalks buzzing with pedestrians, pocket parks the place children play and neighbors chat, and a mixture of cafes, retailers, and houses all inside a brief stroll. This imaginative and prescient of city livability doesn’t occur by chance—it begins with city planning rendering that brings these ideas to life earlier than a single brick is laid. City design rendering has turn into the key weapon of metropolis planners worldwide, remodeling summary concepts into tangible visions that prioritize human wellbeing over concrete and automobiles.

Gone are the times of relying solely on technical blueprints that solely engineers might decipher. Immediately’s city design renders create immersive, photorealistic previews of future cities—highly effective instruments that assist communities visualize and form locations the place folks need to dwell.

The Visualization Energy of City Design Renderings

So, what precisely are these magical instruments? City design rendering represents the evolution from flat, two-dimensional plans to dynamic, three-dimensional experiences. Planners can now create dwelling fashions of proposed city areas utilizing superior applied sciences like GIS mapping, BIM integration, and VR walkthroughs.

These aren’t simply fairly footage. A well-executed metropolis planning rendering accounts for the whole lot from daylight patterns throughout public plazas to pedestrian sightlines alongside purchasing corridors. It could actually simulate how crowds circulate by way of a brand new transit hub or how shadows from high-rises would possibly have an effect on neighborhood parks. This stage of element turns summary planning ideas into one thing residents and decision-makers can genuinely perceive and consider.

Designing Livable Cities

Core Rules of Livable City Design

One of the best city design plan rendering focuses on a number of key human-centric ideas. Walkability stands on the prime—creating neighborhoods the place each day wants are inside a snug strolling distance, with sidewalks extensive sufficient for mates to walk aspect by aspect beneath the shade of mature timber.

Entry to inexperienced house follows shut behind, whether or not it’s grand central parks or small “pocket parks” tucked between buildings. Combined-use growth comes subsequent, mixing properties, retailers, and places of work to create around-the-clock vitality relatively than abandoned enterprise districts after 5 PM.

Environment friendly public transit reduces reliance on automobiles whereas connecting communities. And thoughtfully designed public areas—from splash pads to chess tables—turn into the dwelling rooms of the town, fostering likelihood encounters and neighborhood bonds.

How Renderings Enhance City Livability

Right here’s the place city design challenge renderings show their actual worth:

  1. Testing ideas safely – Need to know if a proposed plaza will really feel welcoming or windswept? A rendering can simulate solar, shade, and sightlines at completely different instances of day earlier than development begins.
  2. Democratizing planning – When residents can nearly “stroll by way of” a proposed growth relatively than squint at technical drawings, public suggestions turns into extra significant and inclusive.
  3. Securing funding – Compelling visualizations assist decision-makers perceive the worth of investments in inexperienced infrastructure or pedestrian zones.
  4. Figuring out issues early – That stunning boulevard rendering would possibly reveal sight distance points for drivers or useless zones that would appeal to loitering.
  5. Bridging communication gaps—Renderings create a typical language for discussing city futures between planners, engineers, politicians, and residents.

Transformative Examples from International Cities

Barcelona’s “superblock” program gives an ideal case examine. Early city design renders confirmed how reclaiming avenue house from automobiles might create pedestrian plazas and playgrounds the place asphalt as soon as dominated. These visuals helped persuade skeptical residents and companies, resulting in a metamorphosis that lowered noise air pollution by 40% in some areas whereas rising social interplay.

Singapore’s vertical greenery initiatives equally relied on compelling renderings to reveal how skyscrapers might turn into “vertical forests,” enhancing air high quality and resident wellbeing. The visible proof helped justify the extra development prices, creating the town’s now-iconic inexperienced skyline.

Rising Applied sciences in City Visualization

The way forward for city design rendering seems to be much more revolutionary. AI-powered instruments can now generate a number of design alternate options based mostly on key parameters—testing tons of of variations of a streetscape to optimize daylight, wind patterns, and pedestrian circulate.

Augmented actuality apps permit residents to level their telephones at vacant tons and see proposed developments in situ. Digital twins create dwelling fashions of complete cities that replace in actual time, letting planners simulate the affect of latest insurance policies or infrastructure initiatives.

Maybe most crucially, local weather modeling now integrates with visualization instruments, displaying how designs will carry out beneath excessive warmth, heavy rainfall, or different local weather challenges—serving to create cities resilient sufficient for future generations.

Key Concerns for Efficient Visualizations

After all, even essentially the most lovely rendering has limitations. There’s an artwork to balancing aspirational visions with sensible realities—displaying what’s doable with out creating false expectations. One of the best visualizations use correct lighting circumstances relatively than a perpetual golden hour, embrace lifelike human exercise relatively than empty perfection, and characterize numerous neighborhood members relatively than homogeneous crowds.

Residents’ enter ensures renderings mirror precise neighborhood wants relatively than simply architectural fantasies. Sustaining a transparent connection to budgets and development timelines retains initiatives grounded in actuality whereas nonetheless inspiring higher city futures.

Conclusion

At its coronary heart, city design rendering represents greater than technical innovation—a profound shift in metropolis planning. By making city futures seen, tangible, and debatable, these instruments empower communities to form locations that prioritize folks over pavement, connection over congestion, and wellbeing over mere performance.

The cities our grandchildren inherit will likely be formed by the visualizations we create right this moment. With highly effective city design rendering instruments and inclusive processes, we are able to be sure that future cities are environment friendly and livable.

A Milestone for Cisco SMB: The Inaugural EMEA SMB Associate Advisory Board


A Milestone for Cisco SMB: The Inaugural EMEA SMB Associate Advisory BoardFinal week, we marked an necessary milestone in our SMB journey with the first-ever EMEA SMB Associate Advisory Board-a dynamic and insightful gathering of 51 companions who joined us for 2 days of deep discussions, technique alignment, and collaborative workshops.

A Highly effective Begin

We kicked off with an inspiring keynote the place José van Dijk emphasised the crucial function SMBs play in Cisco’s technique. I had the chance to increase on this, detailing our EMEA SMB imaginative and prescient and what the long run holds. Agostino Santoni, our VP for EMEA South Europe, introduced a gross sales perspective to the dialog and launched considered one of our valued clients, La Marzocco from Italy, to share real-world insights on leveraging Cisco expertise.

José and Jeetu Patel additionally had a fast chat on why the SMB section is so crucial to Cisco. I extremely advocate watching it.

Partaking Classes & Significant Discussions

The occasion was full of invaluable discussions and hands-on experiences, together with:

  • Dwell SMB Expertise Demos: Showcasing real-world options in motion
  • Associate & Distributor Roundtables: Strengthening collaboration and sharing greatest practices
  • Targeted Classes: Deep dives into Networking, Safety, Collaboration, and Cisco Monetary Options
  • Advertising and marketing Technique for SMB: Led by Nieves Navarro, our VP of EMEA Advertising and marketing, outlining our go-to-market strategy

Driving Motion with Workgroup Streams

We additionally launched seven devoted workgroup streams targeted on key areas akin to Service Suppliers, Trade Verticals, Advertising and marketing, and extra. These classes enabled targeted discussions and actionable takeaways to additional align our technique with associate wants.

Shaping the Future Collectively

This Advisory Board is only the start. The insights, suggestions, and collaboration from this occasion will play an important function in shaping the way forward for Cisco SMB in EMEA. We’re dedicated to working carefully with our companions to drive innovation, speed up development, and empower SMB clients throughout the area.

 

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JetBrains declares a free tier for its AI instruments


JetBrains has been including a number of AI choices to its portfolio over the previous few years, together with AI Assistant and its AI agent Junie.

Now, the corporate is saying that each one of these AI instruments might be out there below a single subscription.

As a part of this announcement, the corporate mentioned that it’ll supply a free tier that provides limitless code completion and entry to native AI fashions. Customers on the free tier might be given a small cloud credit score quota for utilizing cloud-based AI help, together with Junie. The free tier additionally comes with 30 days of AI Professional entry. 

The AI Professional ($10/consumer/month) and AI Final ($20/consumer/month) plans will present elevated utilization quotas, and the AI Professional plan is included within the firm’s All Merchandise Pack subscription ($28.90/consumer/month) that gives entry to the total JetBrains suite. 

In line with JetBrains, the Free tier is good for builders getting began or often utilizing AI, Professional is good for many wants, and Final is designed for essentially the most demanding customers, because it gives essentially the most cloud credit for intensive AI workloads. 

Junie is now typically out there

In addition to updating the subscription plans, the corporate additionally introduced that its coding agent Junie is now out there to all JetBrains prospects. As a part of at this time’s launch, Junie has been up to date to have the ability to tackle much more advanced duties and supply larger management for a human-in-the-loop strategy. 

“Junie is now a full-fledged pair programmer that may reply questions, suggest a plan to the consumer, and comply with improvement pointers,” JetBrains wrote in a weblog submit.

AI Assistant will get main enhancements in newest replace

AI Assistant now has extra mannequin selections, together with Claude 3.7 Sonnet, Google Gemini 2.5 Professional, and the most recent fashions from OpenAI. It additionally options higher native mannequin integration.

Different updates embody improved code completion, larger context consciousness, a brand new edit mode that may edit a number of recordsdata, and smarter assist throughout the complete workflow, from code era to testing to documentation. 

ios – react-native-star-rating-widget works with npx begin -c however not after I construct to iap file and take a look at on simulator


I switched from react-native-star-rating to react-native-star-rating-widget to beat points with the previous.
I’ve obtained the latter working with npx begin -c on expo go.

Nonetheless after I use eas construct and run the construct on the simulator they are not there and I do not know why or how you can debug this?

return (
        
            
                Meat ranking:
                 setMeatRating(ranking)}
                    colour={getColorRating(meatRating)}
                />
                Potatoes ranking:
                 setPotatoesRating(ranking)}
                    colour={getColorRating(potatoesRating)}
                    starSize={starSize}
                />
                Veg ranking:
                 setVegRating(ranking)}
                    colour={getColorRating(vegRating)}
                />
                Gravy ranking:
                 setGravyRating(ranking)}
                    colour={getColorRating(gravyRating)}
                    starSize={starSize}
                />
                Your Remark:
                
                
                    Add Picture
                
                {selectedImage && (
                    
                        
                        
                            Cancel Picture
                        
                    
                )}
                

related types

const types = StyleSheet.create({
    container: {
        flexGrow: 1,
        padding: 24,
        paddingBottom: 20,
        backgroundColor: GlobalStyles.colours.background,
    },
    starsContainer: {
        flexDirection: "row",
    },
    label: {
        fontSize: 16,
        marginBottom: 5,
        marginTop: 10,
        fontFamily: "Roboto-Common",
    },
    textInput: {
        borderWidth: 1,
        borderColor: "grey",
        marginBottom: 15,
        padding: 10,
        borderRadius: 5,
        minHeight: 120,
        fontFamily: "Roboto-Common",
    },

and

import StarRating from "react-native-star-rating-widget";
import { fetchRoasts } from "../redux/reducers/roastsReducer";
import { IMAGE_BUCKET as DOTENV_IMAGE_BUCKET } from '@env';
import { API_URL as DOTENV_API_URL } from "@env"

const API_URL = course of.env.EXPO_PUBLIC_API_URL || DOTENV_API_URL

const IMAGE_BUCKET = course of.env.EXPO_PUBLIC_IMAGE_BUCKET || DOTENV_IMAGE_BUCKET;

const windowWidth = Dimensions.get("window").width;

const getStarSize = (width) => {
    if (width > 400) return 40;
    if (width > 350) return 30;
    return 26; // Smaller dimension for units like iPhone 13 Mini
};

const getColorRating = (ratingValue) => {
    if (ratingValue > 5) return GlobalStyles.colours.positiveGreen;
    if (ratingValue > 2) return GlobalStyles.colours.neutralOrange;
    return GlobalStyles.colours.negativeRed;
};

My react native information is not nice, however I’ve expertise with golang kubernetes aws and so forth by means of day job so I am pretty technical
I am additionally battling debugging the precise builds, I’ve to remark out the sso login stuff to run expo domestically which is annoying as a result of the sso modules use react native modules so cannot be run in expo

Thanks

Steve Lucas, CEO and Chairman of Boomi, Writer of Digital Affect – Interview Sequence

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Steve Lucas, CEO and Chairman of Boomi, is the writer of Digital Affect and a multi-time CEO with almost 30 years of management expertise in enterprise software program. He has held CEO and senior government roles at among the world’s main cloud organizations, together with Marketo, iCIMS, Adobe, SAP, Salesforce, and BusinessObjects.

Boomi is a number one supplier of cloud-based integration platform as a service (iPaaS), serving to organizations join purposes, knowledge, and methods throughout hybrid IT environments. Its low-code platform allows speedy integration, automation, API administration, and knowledge synchronization to assist digital transformation and streamline operations for companies of all sizes.

As a multi-time CEO, how has your management method advanced within the face of AI-driven disruption? What’s totally different about main now vs. a decade in the past?

Main in the present day is essentially totally different from even three years in the past, not to mention a decade. Again then, digital transformation was a strategic benefit. As we speak, it’s a survival crucial. AI-driven disruption has utterly reset expectations round pace, adaptability, and data-driven decision-making. As a CEO, which means I now not have the luxurious of linear planning or incremental enchancment. The tempo of change, notably in my business, calls for daring, system-level pondering and execution.

If you happen to’re pondering that AI is simply one other instrument in your stack, you’re mistaken. It’s a power multiplier. Or not less than it may be if you happen to architect your group with AI on the middle of all the things you do. In each dialogue with my crew, I all the time ask: “Have we considered how we will use AI on this initiative?” It’s actually a part of each dialogue. That’s modified how I lead. I’ve all the time been hyper-focused on integration, knowledge transparency, and breaking down silos. However now, all of that’s in service of constructing AI higher. Management remains to be about aligning groups round objectives. However now AI is on the coronary heart of attaining these objectives.

Above all, in the present day’s CEOs should be deeply human in how they lead. AI is accelerating all the things, and that may fear individuals. It’s why the human factor (our values, our judgment, our empathy) should information how we deploy it. It’s now not nearly digital transformation. It’s about human transformation.

Your e-book argues that AI will fail with out fixing digital infrastructure. Are you able to clarify what you imply by “digital fragmentation” and why it’s such a essential challenge proper now?

Digital fragmentation is the silent killer of enterprise AI efforts. During the last twenty years, organizations have raced to digitize their workplaces, including extra methods, apps, clouds, and platforms. However in that rush, few paused to construct significant integration between them. The result’s a tangled internet of disconnected applied sciences and knowledge silos that may’t discuss to one another. The sum was lower than all of these elements.

Now, AI is forcing corporations to lastly confront that fragmentation. AI methods require clear, related, real-time knowledge to operate nicely. However most companies try to scale AI throughout an unstable knowledge basis. That’s why, in accordance with business knowledge, greater than 70% of enterprise AI initiatives fail. It’s not as a result of AI doesn’t work, however as a result of the digital atmosphere round it’s too fragmented for it to succeed.

In Digital Affect, I argue that earlier than any chief invests one other greenback in AI, they need to first repair the inspiration. Which means creating an built-in, AI-ready structure that connects methods, harmonizes knowledge, and allows clever automation. In any other case, AI will solely amplify the chaos.

In “Digital Affect,” you spotlight real-world examples the place built-in tech is making a distinction — from catastrophe aid to sustainable farming. What case examine shocked or impressed you essentially the most whereas writing the e-book?

The instance that caught with me most was the work carried out throughout a sequence of pure disasters to supply speedy emergency aid by way of built-in methods. In a single case, a number of disconnected authorities and support organizations needed to collaborate in real-time, sharing knowledge on all the things from infrastructure injury to the situation of susceptible populations.

Traditionally, that form of coordination would’ve taken days if not weeks. However with built-in digital infrastructure and automation, they have been in a position to reply in hours. Emergency provides have been rerouted, housing was secured for displaced households, and support was delivered with a stage of pace and precision that saved lives.

That case confirmed to me what’s attainable once we cease treating integration as an IT downside and begin seeing it as a human crucial. Know-how is at its finest when it disappears into the background and simply works seamlessly, intelligently, and in service of actual individuals.

The subtitle of your e-book references “The Human Component” of AI-driven transformation. How can we guarantee individuals stay on the middle of this technological shift?

That’s an important query of all. In Digital Affect, I argue that essentially the most highly effective AI technique is a human technique. We’re not constructing AI for machines. We’re constructing it to serve individuals. However it’s simple to lose sight of that within the rush to automate, scale, and optimize.

To maintain individuals on the middle, we should design AI methods that improve human capability, not exchange it. Which means creating instruments that cut back digital friction, assist higher decision-making, and liberate time for extra significant human work. It additionally means being deliberate about transparency, equity, and ethics when AI makes selections that have an effect on individuals’s lives.

Most significantly, we have to equip each worker with the abilities, entry, and confidence to work alongside AI. It’s about melding the perfect of human and machine intelligence. This job isn’t relegated to simply knowledge scientists or engineers. It is a second for inclusive transformation, not unique innovation. If the human factor is ignored, AI will develop into simply one other tech fad. But when we get it proper, it may be essentially the most humanizing power within the digital age.

You point out that organizations are constructing skyscrapers on sand. What are among the most typical architectural errors corporations make when adopting AI?

The most typical mistake is treating AI as a plug-and-play resolution relatively than an ecosystem evolution. Leaders are sometimes dazzled by the promise of AI and bounce straight into implementation with out addressing the digital sprawl beneath it. That’s like constructing a penthouse suite on prime of a collapsing constructing.

One main architectural challenge is siloed methods. Most enterprises run dozens, even a whole lot, of disconnected purposes. Their knowledge is locked in proprietary codecs, unfold throughout clouds, departments, and platforms. AI can’t thrive in that atmosphere. It wants clear, constant, real-time, interconnected knowledge.

One other large mistake is underestimating the significance of integration and automation. Firms implement AI pilots that work in isolation — however they don’t scale as a result of the underlying workflows aren’t automated or built-in throughout methods. It’s like placing a rocket engine on a bicycle.

Digital Affect lays out what I name “AI-readiness” structure, which is a set of rules for constructing modular, related, safe, and scalable methods. With out that, AI is simply window dressing.

Many leaders imagine throwing extra AI at issues will drive outcomes. What’s the chance in that mindset, and the way can your e-book assist reset expectations?

The most important danger is mistaking exercise for progress. Extra AI doesn’t robotically imply higher outcomes if you happen to apply it to damaged, fragmented methods. If you happen to don’t repair the underlying course of, AI will simply amplify the prevailing flaws. You’ll automate inefficiency, scale bias, and speed up chaos.

We’ve seen organizations spend thousands and thousands deploying AI fashions solely to hit a wall as a result of they lacked clear knowledge, built-in workflows, or change administration methods. In Digital Affect, I name this the “shiny object entice.” Leaders chase the most recent mannequin or instrument, however they neglect to ask an important query: Is our group prepared to make use of this nicely?

The e-book is a wake-up name. It helps reset expectations by grounding AI transformation in enterprise actuality. It’s not about how a lot AI you deploy however how thoughtfully you apply it, how nicely it integrates together with your ecosystem, and the way it serves your individuals.

That is the second for readability over hype, structure over acceleration, and other people over platforms.

You’ve mentioned, “SaaS as we all know it’s lifeless.” Are you able to elaborate on what replaces it in an AI-first world — and the way brokers will rework our interplay with software program?

Completely. SaaS as we all know it – tabs, logins, dashboards, guide workflows – is already on life assist. The subsequent period is about clever brokers: AI-powered copilots that autonomously take actions in your behalf primarily based on the parameters you set and the information you present.

In an AI-first world, software program turns into invisible. You received’t “use” apps within the conventional sense. As a substitute, you’ll inform brokers what you want, and so they’ll execute these duties by accessing apps and methods. Need to onboard a brand new worker? An agent will spin up the fitting tickets in IT, provision entry, replace your HRIS, and ship the welcome e-mail – all with out a human clicking by way of 5 methods. It’s fascinating!

Brokers are changing interfaces. They’re redefining productiveness. SaaS isn’t going away, however how we work together with it’s essentially shifting. The businesses recognizing this now will outpace these nonetheless optimizing for clicks and dashboards.

Boomi is pioneering AI brokers that may work throughout apps. In sensible phrases, what sorts of duties are these brokers taking on in the present day — and what’s subsequent?

Our Boomi Enterprise Platform automates time-consuming duties people hate, and methods can’t deal with alone. It’s the messy center. Take into consideration syncing buyer knowledge between Salesforce and NetSuite, resolving provide chain discrepancies, or validating invoices throughout finance platforms.

These aren’t flashy use circumstances. They’re foundational. And that’s the purpose. We’re not speaking about changing people. We’re speaking about augmenting groups by eradicating digital friction and connecting knowledge throughout methods so individuals can deal with high-impact work.

What’s subsequent? Context-aware brokers that don’t simply comply with guidelines however be taught. Brokers that perceive enterprise intent and adapt to alter. We’re constructing towards a world the place each worker has an AI companion that works throughout apps, learns preferences, and proactively solves issues earlier than they escalate.

What function do platforms like Boomi play in serving to organizations shift from conventional software program use to clever automation powered by brokers?

Boomi is the connective tissue. You’ll be able to’t deploy brokers successfully in a fragmented, disconnected ecosystem. With out integration, automation, and clear knowledge, brokers are like good minds caught in a digital site visitors jam.

Boomi clears the highway. We unify apps, automate workflows, and expose knowledge in methods brokers can really use. Consider us because the infrastructure layer for agentic AI. We’re plugging into a whole lot of methods, enabling automation throughout them, and delivering real-time intelligence to brokers to allow them to act with context.

We’re not simply enabling AI. We’re empowering it to be helpful. That’s the distinction between cool tech demos and scalable transformation. With Boomi, organizations could make the leap from software program as a vacation spot to AI as an motion engine.

What impressed you to write down this e-book now, and the way do you hope it’ll change how tech and enterprise leaders take into consideration transformation?

I wrote Digital Affect as a result of we’re standing at a pivotal second within the historical past of know-how. I imagine most leaders are targeted on the mistaken factor.

Proper now, everybody’s speaking about AI. However few are speaking about how AI really works in the actual world. The reality is you’ll be able to have essentially the most highly effective AI on the planet, but when your methods are fragmented, your knowledge is stale, and your infrastructure is brittle, that AI is ineffective.

I’ve seen too many digital transformation efforts fail as a result of they ignored the plumbing: the connections, the automation, the information readiness. I needed to show that onerous reality, but in addition provide a method ahead. This e-book is a blueprint for how one can make AI and transformation really work, not simply theoretically, however virtually, system by system, crew by crew.

Is there a core message or name to motion you need each reader of Digital Affect to stroll away with?

Sure! Repair the inspiration.

We are able to’t preserve constructing tech empires in digital quicksand. Earlier than you chase the subsequent AI headline, ask: Are our methods related? Is our knowledge flowing freely? Are our groups aligned round outcomes, not instruments?

Digital Affect is a name to return to first rules. Integration. Automation. Human-centered design. These will not be “again workplace” considerations; they’re the entrance traces of transformation.

The leaders who succeed on this period would be the ones who construct infrastructure that’s clever, agile, and invisible. My hope is that this e-book helps extra leaders deal with what issues most, so we will all ship on the promise of AI and create a greater digital future for everybody.

Thanks for the good interview, readers who want to be taught extra ought to learn Digital Affect  or go to Boomi.