Why traditional business intelligence and data analytics just don't work in India, and how data intelligence can overcome this challenge to drive really important decisions.
Our platform brings all data into one place and let's you use it in many ways including collecting primary data, accessing secondary data, and visualizing them in easy dashboards for effective decision making.
Case Study: SocialCops + Bill & Melinda Gates FoundationSocialCops
How the Gates Foundation partnered with SocialCops to effectively invest $8 million in reducing extreme poverty for small and marginal farmers in rural India
#Data4Decisions in the Development WorldSocialCops
SocialCops's Richa Verma presented at Impact Conclave 2017 on how data can be useful for organizations operating in the development space for taking different kind of decisions: operational, strategic, and performance-related. The presentation also gives specific tips for organizations to leverage and create better data systems.
At Social Cops, we disrupt the traditional data collection methods by empowering local youth and our non profit partners with smart phones thereby making the process cost-effective, faster, and efficient. Please find attached a detailed note on our work.
Our methods of data collection & monitoring are expected to reduce 50% time & more than 100% of costs for data collection processes. We work with partners such as the Digital Empowerment Foundation, RoSES and corporate CSR wings such as Hindustan Unilever to create impact in the grassroots through smart data.
How Oxfam India partnered with SocialCops to assess the state of Indian education across 1.4 million schools and promote awareness around the gaps in implementing the Right to Education Act.
Data for Impact Fellowship - SocialCops CareersSocialCops
The Data for Impact Fellowship is a unique opportunity where fellows partner with leaders in government, bilateral organizations, foundations and nonprofits — ranging from Ministers, CEOs and District Collectors — to implement a scalable data intelligence solution. The Fellowship seeks to bring together young, enterprising future leaders with experienced leaders in the development sphere to use the power of data to solve some of India's most critical problems.
For more details about the Fellowship and to get started on your application, visit http://soco.ps/2BHK6Ba!
Looking back, it's been a great year at SocialCops. We've more than doubled our team, built a culture we're proud of, created an awesome platform for powering better decisions through data, and worked with over 150 partners on complex problems. Flip through our deck to learn more!
Building Smart Cities: The Data-Driven Way (Created For The Big 5 Construct 2...SocialCops
A presentation on data-driven solutions for creating smart cities. This presentation was made at The Big 5 Construct 2016 conference as a part of the panel on "Smart Development through Leveraging Technology". The presentation talks about the current landscape of smart city solutions, how cities and organizations can create smart cities, potential ways for the construction industry to use data while implementing smart city projects, and some relevant case studies from our experiences.
Our platform brings all data into one place and let's you use it in many ways including collecting primary data, accessing secondary data, and visualizing them in easy dashboards for effective decision making.
Case Study: SocialCops + Bill & Melinda Gates FoundationSocialCops
How the Gates Foundation partnered with SocialCops to effectively invest $8 million in reducing extreme poverty for small and marginal farmers in rural India
#Data4Decisions in the Development WorldSocialCops
SocialCops's Richa Verma presented at Impact Conclave 2017 on how data can be useful for organizations operating in the development space for taking different kind of decisions: operational, strategic, and performance-related. The presentation also gives specific tips for organizations to leverage and create better data systems.
At Social Cops, we disrupt the traditional data collection methods by empowering local youth and our non profit partners with smart phones thereby making the process cost-effective, faster, and efficient. Please find attached a detailed note on our work.
Our methods of data collection & monitoring are expected to reduce 50% time & more than 100% of costs for data collection processes. We work with partners such as the Digital Empowerment Foundation, RoSES and corporate CSR wings such as Hindustan Unilever to create impact in the grassroots through smart data.
How Oxfam India partnered with SocialCops to assess the state of Indian education across 1.4 million schools and promote awareness around the gaps in implementing the Right to Education Act.
Data for Impact Fellowship - SocialCops CareersSocialCops
The Data for Impact Fellowship is a unique opportunity where fellows partner with leaders in government, bilateral organizations, foundations and nonprofits — ranging from Ministers, CEOs and District Collectors — to implement a scalable data intelligence solution. The Fellowship seeks to bring together young, enterprising future leaders with experienced leaders in the development sphere to use the power of data to solve some of India's most critical problems.
For more details about the Fellowship and to get started on your application, visit http://soco.ps/2BHK6Ba!
Looking back, it's been a great year at SocialCops. We've more than doubled our team, built a culture we're proud of, created an awesome platform for powering better decisions through data, and worked with over 150 partners on complex problems. Flip through our deck to learn more!
Building Smart Cities: The Data-Driven Way (Created For The Big 5 Construct 2...SocialCops
A presentation on data-driven solutions for creating smart cities. This presentation was made at The Big 5 Construct 2016 conference as a part of the panel on "Smart Development through Leveraging Technology". The presentation talks about the current landscape of smart city solutions, how cities and organizations can create smart cities, potential ways for the construction industry to use data while implementing smart city projects, and some relevant case studies from our experiences.
SocialCops and UN Papua New Guinea: Presentation for Data Stocktaking WorkshopSocialCops
SocialCops presented at the UN Papua New Guinea's workshop on how Papua New Guinea can track its progress toward the UN Sustainable Development Goals and Vision 2050
Big Data Applications | Big Data Application Examples | Big Data Use Cases | ...Simplilearn
In this Big Data presentation, we will be discussing the Big data growth over the last few years followed by the various big data applications. We will look into the various sectors where big data is used such as weather forecast, healthcare, media and entertainment, logistics, travel & tourism and finally in the government & law enforcement sector.
We will be discussing how below industries are using Big Data presentation:
1. Weather forecast
2. Media and entertainment
3. Healthcare
4. Logistics
5. Travel n tourism
6. Government and law enforcement
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
11. Understand resilient distribution datasets (RDD) in detail
12. Implement and build Spark applications
13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
14. Understand the common use-cases of Spark and the various interactive algorithms
15. Learn Spark SQL, creating, transforming, and querying Data frames
Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training
Primend Ärikonverents - Keynote: Surviving, Differentiating and Dominating on...Primend
Socrates once said “The secret of change is to focus all your energy, not on fighting the old, but on building the new”. Organizations throughout the world must think about the new digital world and evaluate how to get from where they are today to where they need to be in the future! In this presentation we will look into the changing landscape which is driving this 4th Industrial Revolution and present some areas you might like to focus on as you reposition your organization to compete in an increasingly digital world.
Esineja: Mark Torr (Microsoft)
Small data vs. Big data : back to the basicsAhmed Banafa
Small data is data in a volume and format that makes it accessible, informative and actionable.
The Small Data Group offers the following explanation:
Small data connects people with timely, meaningful insights (derived from big data and/or “local” sources), organized and packaged – often visually – to be accessible, understandable, and actionable for everyday tasks.
Share Information, Change the World: Big Data, Small Apps, Smart Dashboards &...Kristin Wolff
Aimed at a workforce development, education, economic development audience, this presentation was shared at the National Association of Workforce Boards (NAWB) Annual Forum in March 2015.
Data-Driven Decision Making For Indian AgricultureSocialCops
Udit Poddar, Data Scientist at SocialCops, gave this presentation on " Data-Driven Decision Making in Indian Agriculture: the Present and the Future" at the Fifth Elephant, 2016
Mining, cleaning and sorting through open data is difficult. That's why we've done the work for you. Here are our insights and analyses on one of the world's largest data collection efforts – the 2011 Indian Census.
Case Study: SocialCops + Tata Trusts in VijayawadaSocialCops
How the Tata Trusts, Government of Andhra Pradesh, MP Kesineni Srinivas, and the Centre for People's Forestry partnered with SocialCops to drive micro-targeted development through data for 264 villages in Vijayawada.
Very few companies have a chance to build something that people not just love, but that people respect. We believe that this is our one opportunity of a lifetime – to make a dent on the world.
Here's an inside look at how our team, culture and values feed into our mission to make the world a better place through data.
For more information on daily life at SocialCops, check out the Team section of our blog: http://blog.socialcops.com/team.
Careers information is available at https://socialcops.com/careers. For all other information and questions, check out our website at https://socialcops.com/.
SocialCops and UN Papua New Guinea: Presentation for Data Stocktaking WorkshopSocialCops
SocialCops presented at the UN Papua New Guinea's workshop on how Papua New Guinea can track its progress toward the UN Sustainable Development Goals and Vision 2050
Big Data Applications | Big Data Application Examples | Big Data Use Cases | ...Simplilearn
In this Big Data presentation, we will be discussing the Big data growth over the last few years followed by the various big data applications. We will look into the various sectors where big data is used such as weather forecast, healthcare, media and entertainment, logistics, travel & tourism and finally in the government & law enforcement sector.
We will be discussing how below industries are using Big Data presentation:
1. Weather forecast
2. Media and entertainment
3. Healthcare
4. Logistics
5. Travel n tourism
6. Government and law enforcement
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
11. Understand resilient distribution datasets (RDD) in detail
12. Implement and build Spark applications
13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
14. Understand the common use-cases of Spark and the various interactive algorithms
15. Learn Spark SQL, creating, transforming, and querying Data frames
Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training
Primend Ärikonverents - Keynote: Surviving, Differentiating and Dominating on...Primend
Socrates once said “The secret of change is to focus all your energy, not on fighting the old, but on building the new”. Organizations throughout the world must think about the new digital world and evaluate how to get from where they are today to where they need to be in the future! In this presentation we will look into the changing landscape which is driving this 4th Industrial Revolution and present some areas you might like to focus on as you reposition your organization to compete in an increasingly digital world.
Esineja: Mark Torr (Microsoft)
Small data vs. Big data : back to the basicsAhmed Banafa
Small data is data in a volume and format that makes it accessible, informative and actionable.
The Small Data Group offers the following explanation:
Small data connects people with timely, meaningful insights (derived from big data and/or “local” sources), organized and packaged – often visually – to be accessible, understandable, and actionable for everyday tasks.
Share Information, Change the World: Big Data, Small Apps, Smart Dashboards &...Kristin Wolff
Aimed at a workforce development, education, economic development audience, this presentation was shared at the National Association of Workforce Boards (NAWB) Annual Forum in March 2015.
Data-Driven Decision Making For Indian AgricultureSocialCops
Udit Poddar, Data Scientist at SocialCops, gave this presentation on " Data-Driven Decision Making in Indian Agriculture: the Present and the Future" at the Fifth Elephant, 2016
Mining, cleaning and sorting through open data is difficult. That's why we've done the work for you. Here are our insights and analyses on one of the world's largest data collection efforts – the 2011 Indian Census.
Case Study: SocialCops + Tata Trusts in VijayawadaSocialCops
How the Tata Trusts, Government of Andhra Pradesh, MP Kesineni Srinivas, and the Centre for People's Forestry partnered with SocialCops to drive micro-targeted development through data for 264 villages in Vijayawada.
Very few companies have a chance to build something that people not just love, but that people respect. We believe that this is our one opportunity of a lifetime – to make a dent on the world.
Here's an inside look at how our team, culture and values feed into our mission to make the world a better place through data.
For more information on daily life at SocialCops, check out the Team section of our blog: http://blog.socialcops.com/team.
Careers information is available at https://socialcops.com/careers. For all other information and questions, check out our website at https://socialcops.com/.
The write up describes in brief some aspects of past and current practices of Disaster Management and Flood Control and Relief in a district of West Bengal. This is a brief Write Up as a part of my assignment for a continuing education program.
Using big data to turn shoppers into big spenders
Applying the range, volume and velocity of retail data
Advanced modelling, forecasting and segmentation of data
Cultivating and retaining loyal customers using internal and external data
Optimising analytics in merchandising and demand forecasting Increasing store level profitability and competitiveness
Using analytics to detect retail fraud
Big Data: Smart Technologies Provide Big OpportunitiesNAED_Org
Big data has garnered big-time buzz as an effective means to optimize business and measure success. This concise report provides an introduction to the elements of big data and how smart technologies are playing a big role in the information game.
Bigdata analysis in supply chain managmentKushal Shah
big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.
supply chain industry need this type of data to survive in every situations.
Whitepaper: Thriving in the Big Data era Manage Data before Data Manages you Intellectyx Inc
Paper Overview -
Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone.
Data comes from everywhere and we are generating data more than ever before.
This white paper will explain what Big Data is and provide practical examples, concluding with a message how to put data your data to work.
D2 d turning information into a competive asset - 23 jan 2014Henk van Roekel
Understanding the evolution of Business Intelligence and Analytics and the challenges and opportunities that come with it. Exploring CGI's Data2Diamonds™ approach ensuring financial sound, technical viable and socially desirable Big Data initiatives.
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.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
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
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.
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
7. Data Intelligence
Using all possible data for decisions
Collecting high-quality
data under the
toughest conditions
600+ data sources
from 30+ countries, all
matched and merged
Intelligent data cleaning
with entity recognition,
geocoding, etc.
Visualizations to make
a decision obvious in
seconds