The document analyzes India's apparel industry. It discusses that the industry contributes 2% to India's GDP and is one of the country's fastest growing segments. It also outlines the various stages of apparel manufacturing such as design, pattern making, cutting, sewing, and finishing. Additionally, the summary provides statistics on India's apparel imports and exports from 2015-16 to 2019-20. It notes that while India was once a leader in apparel exports, Bangladesh has now surpassed it due to cheaper labor and fewer strikes. The conclusion suggests India can increase its global apparel exports by focusing on its large cotton production and automating processes to use materials more efficiently.
At FashionTT's Fashion UPGRADE! Workshop, Violet Davis-Maurice provided great insight into creating garments that meet local and international standards.
At FashionTT's Fashion UPGRADE! Workshop, Violet Davis-Maurice provided great insight into creating garments that meet local and international standards.
Indian Textiles and garment Industry
Various information regarding policy sector and recent investments and tax policy.It includes info. about key players and industry export opportunities also Current budget 2017 as financial supports in this industry.
India’s textile and clothing (T&C) sector is one of the oldest industries which has been playing a vital role to strengthen the Indian economy. Though the sector has faced a lot of fluctuations in recent times, the solid foundation of the sector is tough to be shattered. Team Apparel Resources prepares a presentation on the same to let the readers know more about Indian T&C sector, its present situation and the future directions.
Globalization has made it easier than ever to ignore where our clothes come from. The fashion industry has complex connections to many other fields, including manufacturing, advertising, production of raw materials, transportation and retailing. Begin to educate consumers about the importance of APPAREL STANDARDS.
Introduction to apparel industries and historyKhairul Bashar
Apparel: Personal outfit, garments or clothing etc including headwear and footwear.
Apparel industries: The industries which make ready-to-wear clothing.
Visit blog: http://www.merchandisingbangla.com/
Indian Textiles and garment Industry
Various information regarding policy sector and recent investments and tax policy.It includes info. about key players and industry export opportunities also Current budget 2017 as financial supports in this industry.
India’s textile and clothing (T&C) sector is one of the oldest industries which has been playing a vital role to strengthen the Indian economy. Though the sector has faced a lot of fluctuations in recent times, the solid foundation of the sector is tough to be shattered. Team Apparel Resources prepares a presentation on the same to let the readers know more about Indian T&C sector, its present situation and the future directions.
Globalization has made it easier than ever to ignore where our clothes come from. The fashion industry has complex connections to many other fields, including manufacturing, advertising, production of raw materials, transportation and retailing. Begin to educate consumers about the importance of APPAREL STANDARDS.
Introduction to apparel industries and historyKhairul Bashar
Apparel: Personal outfit, garments or clothing etc including headwear and footwear.
Apparel industries: The industries which make ready-to-wear clothing.
Visit blog: http://www.merchandisingbangla.com/
IN This PPT i include all the thiks like intro of the industry, major players of industry in india, growth , trends, fdi, market share in india , SWOT analysis ETC. This PPT is as on NOV10,2019.
We also take this opportunity to request you to kindly interact with us by sending in your Company News/Article and Product Profile and it will get carried forwards in our ‘Global Textiles & Apparels’. (Only for Subscribers)
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A study on the knitwear industry of bangladeshAbul Rahat
This presentation provides an in depth look into the Knitwear industry of Bangladesh, and relate the concepts and theories of managerial economics with the findings regarding both the overall industry and some of its major players.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
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We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
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We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
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Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
6. INTRODUCTION
• India has been well known for its textiles
industry since ancient times.
• The Indian textiles and apparel industry
contributes 2% to the GDP.
• Apparel means readymade
clothes, especially formal clothes worn on
an important occasion.
• Apparel is one of the basic necessities of the
human civilization.
• Fastest growing industry segment.
8. Process of Apparel Manufacturing
Design / Sketch Production
Pattern
Pattern Design Sample Making
Cutting Spreading Maker Making Grading
Bundling Sewing Inspection
Packing Final Inspection Finishing
9. Design / Sketch Pattern Design Sample Making Production Pattern Grading
Marker Making Spreading Cutting Bundling Sewing
Inspection Finishing Final Inspection Packing
10. SWOT ANALYSIS
STRENGTHS WEAKNESSES
OPPORTUNITIES THREATS
.
Quality of textile, fabric and production.
Automation of production processes
Industrial training.
High price because of rapid changes.
The bad covering of foreign market.
Condition and price of raw materials.
Making e-mail catalog.
Consumers’ wish for new designs.
Production of garments Made-to-Measure.
Quick obsolesce of technology
Competitors have lower price
Competitors have better distribution network.
11. Major Challenges for
Apparel Industry
Raw Material Issue
Inventory Management Issue
Production Delay
Garment Defects
Digitalization
13. Garment Imports - India
Types of Garments 2015-16 2019-20
Cotton Garments 239 464
Synthetic Garments 150 336
Other Garments 191 345
Data Source : Annual Report T&A Industry 2021 – Wazir Advisors
14. Garment Exports - India
Types of Garments 2015-16 2019-20
Cotton Garments 8359 8205
Synthetic Garments 3994 3371
Other Garments 4637 3933
Data Source : Annual Report T&A Industry 2021 – Wazir Advisors
15. Apparel Export Globally
0
20
40
60
80
100
120
140
160
Apparel - Exports Globally
Country Apparel - Exports
China 149.9
Vietnam 33.7
Bangladesh 40.9
Germany 23.8
India 16.2
Italy 23.6
Turky 16.1
USA 5.2
Spain 14.3
France 12
Data Source : Annual Report T&A Industry 2021 – Wazir Advisors
16. Bangladesh’s export takes over India
India
Bangladesh
0
5
10
15
20
25
30
2006-07 (Billion $) 2019-20 (Billion $)
India Bangladesh
Country
2006-07
(Billion $)
2019-20
(Billion $)
India 8.89 15.48
Bangladesh 9.21 27.95
Bangladesh’s labor cost is
cheap.
Bangladesh has signed free
trade agreement with Europe.
No strikes takes place as in
India.
Data Source : :https://www.livemint.com
17. Conclusion
India is the largest producer of cotton
all over the world so if we focus we
can export more globally.
We need to have automation in the
apparel industry in order use the raw
materials more efficiently.
