Nawiazujac do porannego wpisu - pewnie niektorzy z Was kojarza Doma Whitinga i jego nagrania na Youtube "Drum&Bass On The Bike"? Gosc sobie popyla przez brytyjskie miasta na rowerze, na kierownicy ma zamontowana konsolete, a za nim zbiera sie coraz wieksza grupa localsow i nie tylko?
No to... teraz mamy w Polsce cos podobnego :D Krakowska DJane #Shandrill w czerwcu zorganizowala pierwszy taki przejazd przez #Krakow - i jak widac na ponizszym filmie, dolaczylo sie do niej chyba kilkaset osob, a cala kolumne musiala prowadzic policja, ktora zreszta zabezpieczala tez trase przejazdu 🤯
W najblizsza niedziele kolejna okazja by pojechac razem z Shandrill - start o 14:00 z Błoń (Błoni?), meta ok. 16:00 na Bagrach, a potem afterparty
Post nie jest sponsorowany i nie mam zadnego interesu w reklamowaniu wydarzenia, oprocz samego faktu, ze jaraja mnie takie inicjatywy i sam sie pewnie wybiore potowarzyszyc
Nie jestem za likwidowaniem #autostrady (tu zreszta nie o to chodzi), ale ten pomysl mi sie podoba.
Zreszta, #A4 na odcinku #Katowice - #Krakow sie do niczego innego nie nadaje 🤣
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AI is turning the fashion industry upside-down — transforming everything from how we design, produce and market our clothes to what retailers look like. Given the pressure that fashion brands are under to accelerate trend cycles, minimize waste and offer fulfilling personalized experiences in a profitable way, AI has become an invaluable strategic technology for smarter decision making and operational efficiency.
Fundamentally, AI is focused on machines that can complete tasks and have cognitive capabilities including pattern recognition, data learning and predictive analytics - all features that traditionally only humans were capable of. In fashion, machine learning, computer vision and natural language processing (all subsets of AI) enable brands to sift through massive amounts of data from customer interactions, social platforms and worldwide sales in order predict trends, tailor offerings and automate routine tasks. Companies are able to remain viable and reactive in the consumer-market with this marriage of data and automation.
Primary Business Advantages of AI in Fashion
The first consequence of AI on fashion is perhaps the most apparent: personalization. AI based recommendation engines study browsing patterns, purchase data as well as style preferences to personalize product recommendations, thereby boosting customer engagement and conversions. Additional smart features such as virtual stylists and AI chatbots take the shopping experience to a whole new level by recommending full looks and engaging in interactive conversations with costumers.
As per GMI Research, the AI in Fashion Market size is projected to reach USD 6,021 million in 2032
Prediction for Trends Trend prediction is another example of how AI provides strategic advantage. By analyzing millions of images from social media and runway shows, artificial intelligence identifies rising styles — like specific color palettes and silhouettes — before competitors do. This information allows design teams to plan collections with greater certainty and accuracy, mitigating the risk of missing trends and overstocking.
Finally, for e-commerce and retail, virtual try-on is a technology that enables consumers to see how clothes will look on their bodies with AR and computer vision. It eliminates guesswork, enables confidence in the purchase decision and ultimately lowers expensive return rates. AI also can make inventory more efficient by predicting demand more precisely so that brands can produce in response to what consumers actually want (unlike overproducing and marking items down).
AI is also part of automated merchandising and marketing. Intelligent tools for retailers to automate product tagging, optimize pricing and dynamically adjust visual catalogues based on customer context. By creating marketing content - campaign visuals and copy - generated for various audience segments, generative AI is empowering brands to make the highest possible return on investment whilst saving on creative time.
AI-created digital models, furthermore, are now being used more commonly in fashion campaigns, giving brands an ability to develop scalable and personalised visual content without the expense of logistics for physical photoshoots. These virtual models are pushing the boundaries of creativity and speeding up content production.
Challenges and Considerations
But there are obstacles to AI adoption in the fashion world. Data scattered across systems may become a barrier to an appropriately predictive model, and necessitate well-structured quality datasets for successful modeling. Ethical and legal issues also come into play, particularly for AI-generated content and authenticity, with consumers questioning what this will mean for creativity and diversity.
Moreover, there are environmental trade-offs to consider: where AI may have the ability to cut waste, fast-fashion brands could employ it merely as a means of speeding up trend mimicry — potentially making environmental implications worse (if not matched with responsible production). Then there is the problem of data privacy, a scarcity of talent in AI and machine learning and companies need to train existing teams how to work with the tool effectively.
Implementation and Future Outlook
A successful application of AI in the fashion industry needs a deliberate strategy, one that is grounded in business goals and identifies necessary tools right out of the gate, as well as includes pilot programs to confirm impact. Critical to that is establishing the foundation for strong data organization and quality as it is used throughout departments. So long as we continue to plan methodically and execute ethically, AI will propel innovation, improve efficiency and reshape the future of fashion.
Saudi Arabia: Key Advantages of Using Ready-Mix Concrete in Construction Projects
When undertaking a construction or landscaping venture, selecting an appropriate concrete formulation significantly influences the project’s overall efficiency and durability.
What is Ready-Mix Concrete?
Ready-mix concrete is produced in a central mixing plant, blended to specifications and delivered to the site in batches tailored to the project’s immediate needs. Each formulation, composed of cement, water, admixtures, and well-graded aggregates, is subjected to quality-control tests before dispatch. Transport occurs via rotating drum mixers that maintain the slump consistency required upon arrival, effectively creating an ad-hoc mixing stage in transit.
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Consistent Quality and Strength Visual comparatives with laboratory tests and standards demonstrate that ready-mix concrete delivers the same compressive strength and durability regardless of batch size or location. Each batch is produced under batch-plant supervision, with calibrated admixtures, aggregates, and water—all adjusted for the specific design strength. Consequently, variability commonly introduced by manual proportions, inconsistent mixer drum sizes, and operator fatigue is virtually eliminated. By contrast, on-site mixes are subject to errors from miscalibrated scales and the difficulties of large batch size calculations, leading to reduced structural integrity that may not become apparent until the structure is tested in service or struggles to meet performance benchmarks.
Cost-Effective Solution Unit economics show that ready-mix concrete, despite apparent higher ticket pricing, frequently reduces total project cost. Trials have demonstrated that central batching achieves material utilizations exceeding 98 percent, compared with 85 to 90 percent on-site segments. Expense items such as breakage of oversized pieces, labor costs for mixing crews, operator hazards coverage, and rental of bulky drum mixers are effectively eliminated with delivery of ready-mix. Furthermore, time saved on batch checks, material logistics re-planning, and delivery allows projects to compress schedules, releasing capital and labor for re-deployment to value-adding tasks.
Improved Worksite Safety Evaluation of safety performance metrics consistently indicates lower injury rates on projects that deploy ready-mix. By removing the onsite production of large aggregates, cement, and water batches, instant library safety data shows a 65 percent decline in particulate exposure events, a 79 percent decline in slip and drop injury rates related to cement handling, and a clear removal of mixer drum exposure incidents. Crews can concentrate on placement, leveling, and finishing within controlled elevation and working surface conditions, reinforcing best-prepend safety training protocols without direct exposure to hazardous mixing tasks.
Prioritizing site safety enables contractors to limit both the likelihood of incidents and costly operational slowdowns, while for do-it-yourself enthusiasts the same focus allows for the smooth progression of a project, unclouded by anxiety over maneuvering potentially hazardous machinery.
Sustainable Material Choice
Opting for ready-mix concrete lowers the ecological footprint of a project. Centralized batching plants routinely reclaim washwater and employ optimized batching protocols, thereby curtailing both overspray and greenhouse emissions. The delivery of a precisely calculated volume further ensures zero surplus, meaning that site waste and the subsequent demand for disposal facilities are both eliminated.
Enhanced Tailoring and Scope
The chemistry of ready-mix concrete is easily re-engineered for task-specific requirements.
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New York Fashion Week 2025: Spring/Summer 2026 Schedule & Highlights
New York Fashion Week 2025 returns to New York City from September 11–16, 2025, debuting the Spring/Summer 2026 collections from top designers. The event sets the tone for global fashion before London, Milan, and Paris Fashion Weeks.
What month is Fashion Week in New York? It happens every February and September. The next New York Fashion Week 2026 will showcase Autumn/Winter 2026-27 in February 2026.
Tickets: Prices for New York Fashion Week 2025 tickets start around $50, while VIP access can exceed $1,000. Official passes for New York Fashion Week 2026 tickets will release soon through CFDA channels.
Celebrity Highlights: Ralph Lauren’s Spring 2026 show drew major stars like Oprah Winfrey, Priyanka Chopra, and Jessica Chastain, setting the standard for NYFW glamour.
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