This document contains an assessment of the city of Sungkai based on 3 aspects of sustainable urban development: environment, economy, and social. It evaluates 9 environmental factors, 3 economic factors, and 3 social factors related to sustainable urban planning. Each factor is given a rating from 0 to 9. Overall, the document presents an assessment of Sungkai's sustainability based on ratings across 15 different factors within the three aspects of environment, economy, and social considerations.
penilaian berkenaan dengan kemapanan bandar tempat tinggal anda. Penilaian anda hendaklah mengandungi perkara berikut:
Alam Sekitar
1. Rekabentuk bandar
2. Kepelbagaian bio
3. Sampah
4. Eco-Footprint
5. Kawasan hijau
6. Perubahan cuaca
7. Kitar semula
8. Kualiti udara
Ekonomi
9. Pekerjaan
10. Pengangkutan
11. Peluang Perniagaan
Sosial
12. Pendidikan
13. Penjagaan kesihatan
14. Makanan
penilaian berkenaan dengan kemapanan bandar tempat tinggal anda. Penilaian anda hendaklah mengandungi perkara berikut:
Alam Sekitar
1. Rekabentuk bandar
2. Kepelbagaian bio
3. Sampah
4. Eco-Footprint
5. Kawasan hijau
6. Perubahan cuaca
7. Kitar semula
8. Kualiti udara
Ekonomi
9. Pekerjaan
10. Pengangkutan
11. Peluang Perniagaan
Sosial
12. Pendidikan
13. Penjagaan kesihatan
14. Makanan
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Show drafts
volume_up
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.
1. PERANCANGAN BANDAR MAPAN
(LMCP1532)
TUGASAN 2:PENILAIAN BANDAR ANDA(SUNGKAI)
NAMA: SITI HASLINDA BINTI TON ZAINAL ABIDIN
NO MATRIK: A168953
PENSYARAH: PROF. DATO’ IR. DR RIZA ATIQ BIN O.K.
RAHMAN
2. 3 ASPEK PEMBANGUNAN BANDAR MAPAN
ALAM SEKITAR EKONOMI SOSIAL
REKABENTUK BANDAR
KEPELBAGAIAN BIO
SAMPAH
ECO-FOOTPRINT
KAWASAN HIJAU
PERUBAHAN CUACA
KITAR SEMULA
KUALITI UDARA
PEKERJAAN
PENGANGKUTAN
PELUANG PEKERJAAN
PENDIDIKAN
PENJAGAAN KESIHATAN
MAKANAN
