Vivek Srivastava completed 1 project and earned a certificate as a Big Data Hadoop and Spark Developer on July 12, 2020. The certificate code for his completion is 2034226.
Aditya Patel completed a data science project using R and received a certificate of completion on May 6th, 2021. The certificate code for his completion is 2546022.
Aniruddha Choudhury has been certified as a Microsoft Certified: Azure Data Scientist Associate by successfully completing the requirements. The certification is valid until June 25, 2023 and was achieved on June 25, 2021, as confirmed by Satya Nadella, CEO of Microsoft, with the certification number H872-5788.
The promise of AI to provide better patient care through accelerated workflows and increased diagnostic capabilities was in full display at RSNA. Catch up with all the news and highlights from the event.
Edoabasi Nkanga received a certificate of completion from Big Data University for successfully completing and passing the course "Data Privacy Fundamentals" on February 11, 2017. The certificate, numbered DS0301EN, recognizes Edoabasi Nkanga's achievement in the field of data privacy fundamentals.
The document summarized a panel on big data challenges and solutions, how big data requires new approaches, and polled attendees on their organization's progress with big data initiatives. Resources were also listed for continuing education on big data topics.
How Cloud BI Powers Today's Agile EnterpriseGoodData
According to Forrester (http://www.forrester.com/Benchmark+Your+BI+Environment/fulltext/-/E-RES103661), ⅓ of organizations reap a triple-digit ROI on their BI investments. The problem for the other ⅔ is that the complexities of the BI landscape are prohibiting them from delivering the insights that their business users need, in a relevant and timely manner.
Our guest Boris Evelson, a leading expert in BI at Forrester Research, joins GoodData to discuss how Cloud BI can improve the agility of your organization.
In this 1-hour session they discuss:
- Current state of the BI landscape
- Complexities forcing change in the industry
- How Cloud BI alleviates many of those challenges
- Specific ROI stories and use cases
Best practices For Creating Compelling DashboardsGoodData
This document outlines tips for creating compelling dashboards. It discusses what dashboards are, why they are used, and provides examples. The main points are:
Dashboards measure business processes and align stakeholders around key objectives. Examples shown include sales, marketing, support and social media dashboards.
Five tips for creating effective dashboards are: know what message you want to convey; set clear performance goals; use visuals that clearly tell the story; keep the dashboard simple; and collaborate, validate and test the dashboard.
This document outlines a schedule management plan for a project. It defines the schedule management approach, including using a work breakdown structure and MS Project to develop the schedule. It establishes bi-weekly schedule reviews and thresholds for schedule change requests. Any changes exceeding 10% of a task duration or the overall schedule require sponsor approval. Scope changes may also require re-baselining the schedule.
Aditya Patel completed a data science project using R and received a certificate of completion on May 6th, 2021. The certificate code for his completion is 2546022.
Aniruddha Choudhury has been certified as a Microsoft Certified: Azure Data Scientist Associate by successfully completing the requirements. The certification is valid until June 25, 2023 and was achieved on June 25, 2021, as confirmed by Satya Nadella, CEO of Microsoft, with the certification number H872-5788.
The promise of AI to provide better patient care through accelerated workflows and increased diagnostic capabilities was in full display at RSNA. Catch up with all the news and highlights from the event.
Edoabasi Nkanga received a certificate of completion from Big Data University for successfully completing and passing the course "Data Privacy Fundamentals" on February 11, 2017. The certificate, numbered DS0301EN, recognizes Edoabasi Nkanga's achievement in the field of data privacy fundamentals.
The document summarized a panel on big data challenges and solutions, how big data requires new approaches, and polled attendees on their organization's progress with big data initiatives. Resources were also listed for continuing education on big data topics.
How Cloud BI Powers Today's Agile EnterpriseGoodData
According to Forrester (http://www.forrester.com/Benchmark+Your+BI+Environment/fulltext/-/E-RES103661), ⅓ of organizations reap a triple-digit ROI on their BI investments. The problem for the other ⅔ is that the complexities of the BI landscape are prohibiting them from delivering the insights that their business users need, in a relevant and timely manner.
Our guest Boris Evelson, a leading expert in BI at Forrester Research, joins GoodData to discuss how Cloud BI can improve the agility of your organization.
In this 1-hour session they discuss:
- Current state of the BI landscape
- Complexities forcing change in the industry
- How Cloud BI alleviates many of those challenges
- Specific ROI stories and use cases
Best practices For Creating Compelling DashboardsGoodData
This document outlines tips for creating compelling dashboards. It discusses what dashboards are, why they are used, and provides examples. The main points are:
Dashboards measure business processes and align stakeholders around key objectives. Examples shown include sales, marketing, support and social media dashboards.
Five tips for creating effective dashboards are: know what message you want to convey; set clear performance goals; use visuals that clearly tell the story; keep the dashboard simple; and collaborate, validate and test the dashboard.
This document outlines a schedule management plan for a project. It defines the schedule management approach, including using a work breakdown structure and MS Project to develop the schedule. It establishes bi-weekly schedule reviews and thresholds for schedule change requests. Any changes exceeding 10% of a task duration or the overall schedule require sponsor approval. Scope changes may also require re-baselining the schedule.
The document provides a root cause analysis for a failure that occurred during a trial run of a new fiber optic cable product called TruWave. The summary is:
1) A failure occurred on June 1st during a trial run of the TruWave cable where the polyethylene jacketing was deformed and tearing in some areas.
2) An investigation found the root cause was operator error, where the technician manually entered an incorrect temperature of 400 degrees instead of the required 525 degrees for melting the polyethylene properly.
3) To prevent future errors, the corrective action is to pre-program trial run cable process parameters into the line computers rather than having technicians manually enter them.
This document provides a risk management plan template for a project. It outlines the project's top three risks, approach to risk management, and processes for risk identification, qualification, prioritization, monitoring, and mitigation. The top three risks are delays in server equipment, an incomplete fiber optics connection, and insufficient staffing of the network operations center. The plan describes identifying risks through expert interviews, meetings, and reviewing past similar projects. Risks are then prioritized using a probability-impact matrix and assigned to a risk register along with mitigation strategies. Risk managers will monitor assigned risks and provide status updates. Upon project close, risks and the management process will be reviewed to identify improvements.
This document provides a requirements management plan for the BrightStar fiber optic cable project. It outlines four key areas for managing requirements: identification, analysis, documentation, and ongoing management. It also discusses configuration management, prioritizing requirements according to priority levels, defining product metrics for cost, quality, and performance, and includes a requirements traceability matrix. The overall purpose is to establish a process for identifying, analyzing, documenting, and managing project and product requirements throughout the project lifecycle.
This document provides a relationship management plan between Doe Consulting Group and their customer ABC Corp. It outlines ABC Corp's background and current needs, including process improvement and records optimization projects. It identifies additional opportunities in logistics and a potential project management office. The plan discusses maintaining the strong relationship through open communication between leadership and addressing ABC Corp's pain points. Doe Consulting Group's value comes from its people, customized practices, and hands-on customer service to ensure client satisfaction.
The document provides a quality management plan template for a project to develop a loose tube fiber cable (LTFC). It outlines the project's approach to quality management, including defining quality requirements, assurance and control processes. Key aspects include establishing metrics to measure product and process quality, conducting regular reviews and tests to ensure standards are met, and identifying improvements. The goal is to deliver a product and processes that meet quality objectives and customer satisfaction.
The project is 7% behind schedule due to inclement weather affecting fiber optic installation. Crews plan to work weekends and extended hours to make up time and still meet the completion date. There is also a risk related to servers delivered with incorrect hardware specifications that will not support the workload at go-live in two months, but will work for development and testing in the interim. Two change requests are noted, one still under review and one approved and added to the project plan. Key performance indicators show the project is behind schedule and over budget.
This document provides a project management plan template for the SmartVoice project. It includes sections on the project management approach, scope, milestones, schedule, change management, communications, cost, procurement, scope, schedule, quality, risk, staffing, resources, cost and quality baselines, and sponsor acceptance. The project manager, Joe Green, will be responsible for managing the project according to this plan and its subsidiary plans. The project involves developing new voice recognition software and will be completed when the software and documentation are transitioned to production.
This document provides a change management plan template for the Inventory Services Project. It outlines the change management approach, definitions of change, roles of the Change Control Board, and the change control process. The change management approach ensures all proposed changes are properly defined, reviewed, approved, implemented, and communicated. The change control board reviews and approves or denies all change requests. The change control process involves identifying needs, logging requests, submitting to the board, obtaining a decision, and implementing any approved changes.
This document provides a procurement management plan template for a project. It outlines the procurement approach, defining procurements needed and authorized approvers. Firm fixed price contracts will be used. Risks include unrealistic vendor expectations and potential delays. Costs will be determined through a request for proposal process. Standard procurement documents will be used for consistency. The plan also identifies schedule, cost, scope, resource, and technology constraints.
This document outlines a process improvement plan for the manufacturing of a new coaxial cable called CAX Cable. The plan describes the stranding and jacketing processes, establishes process boundaries and configurations, identifies metrics to measure performance, and sets targets to improve processes. Metrics for stranding include reducing core material waste from 7% to 5% and decreasing stranding time. Jacketing targets include lowering jacketed cable waste from 9% to 7% and reducing jacketing time. Achieving these targets could save over $550,000 annually and increase manufacturing throughput. The process improvement plan will be followed iteratively to continuously monitor and enhance production.
This human resource plan outlines the roles, responsibilities, and staffing needs for a Software Upgrade Project. It includes a project organizational chart identifying the Project Manager, Design Engineers, Implementation Manager, and Training Lead. It also describes functional managers who will provide resources. The plan details acquiring internal staff, resource requirements over 5 weeks, training needs, and performance reviews. It aims to achieve project success through an effective human resource strategy.
This document outlines the cost management plan for a project. It defines responsibilities for managing and reporting project costs, how costs will be measured and tracked against budget using earned value management, thresholds for cost variances, and the process for developing corrective action plans to address cost overruns. Key aspects of the plan include tracking costs at the fourth level of the work breakdown structure, measuring performance with metrics like schedule and cost performance indexes, requiring corrective action if the SPI or CPI is outside of 0.8-1.2, and obtaining sponsor approval for changes that impact the project budget.
This document provides a communications management plan template for a project. It includes sections on communication roles, methods, standards, and an escalation process. The plan establishes guidelines for formal project communications including meeting agenda, minutes, and status reports. It aims to ensure effective stakeholder engagement and timely issue resolution throughout the project.
This document outlines the configuration management plan for the NexGen Project. It describes the roles and responsibilities for configuration management, including the Configuration Control Board, Project Sponsor, Project Manager, Configuration Manager, Lead Engineers, and Engineers. It also describes the processes for configuration control, the Configuration Management Database, configuration status accounting, and configuration audits to track changes throughout the project lifecycle.
Machine learning advanced certification training (Simplilearn)Vivek Srivastava
Vivek Srivastava completed a Machine Learning Advanced Certification Training on July 22nd, 2020. He passed one project as part of the training. His certificate code for completing the training is 2047897.
Vivek Srivastava has successfully completed all requirements of the Data Scientist program with distinction, as certified on July 29, 2020. His credential ID is 21215636 and can be verified at the provided URL.
Vivek Srivastava completed 1 project for the Data Science Capstone on July 26th, 2020. A certificate with the code 2073024 was issued upon completion of the project.
Vivek Srivastava has successfully completed all requirements of the Data Scientist program with distinction, as certified on July 29, 2020. His credential ID is 21215636 and can be verified at the provided URL.
The document provides a root cause analysis for a failure that occurred during a trial run of a new fiber optic cable product called TruWave. The summary is:
1) A failure occurred on June 1st during a trial run of the TruWave cable where the polyethylene jacketing was deformed and tearing in some areas.
2) An investigation found the root cause was operator error, where the technician manually entered an incorrect temperature of 400 degrees instead of the required 525 degrees for melting the polyethylene properly.
3) To prevent future errors, the corrective action is to pre-program trial run cable process parameters into the line computers rather than having technicians manually enter them.
This document provides a risk management plan template for a project. It outlines the project's top three risks, approach to risk management, and processes for risk identification, qualification, prioritization, monitoring, and mitigation. The top three risks are delays in server equipment, an incomplete fiber optics connection, and insufficient staffing of the network operations center. The plan describes identifying risks through expert interviews, meetings, and reviewing past similar projects. Risks are then prioritized using a probability-impact matrix and assigned to a risk register along with mitigation strategies. Risk managers will monitor assigned risks and provide status updates. Upon project close, risks and the management process will be reviewed to identify improvements.
This document provides a requirements management plan for the BrightStar fiber optic cable project. It outlines four key areas for managing requirements: identification, analysis, documentation, and ongoing management. It also discusses configuration management, prioritizing requirements according to priority levels, defining product metrics for cost, quality, and performance, and includes a requirements traceability matrix. The overall purpose is to establish a process for identifying, analyzing, documenting, and managing project and product requirements throughout the project lifecycle.
This document provides a relationship management plan between Doe Consulting Group and their customer ABC Corp. It outlines ABC Corp's background and current needs, including process improvement and records optimization projects. It identifies additional opportunities in logistics and a potential project management office. The plan discusses maintaining the strong relationship through open communication between leadership and addressing ABC Corp's pain points. Doe Consulting Group's value comes from its people, customized practices, and hands-on customer service to ensure client satisfaction.
The document provides a quality management plan template for a project to develop a loose tube fiber cable (LTFC). It outlines the project's approach to quality management, including defining quality requirements, assurance and control processes. Key aspects include establishing metrics to measure product and process quality, conducting regular reviews and tests to ensure standards are met, and identifying improvements. The goal is to deliver a product and processes that meet quality objectives and customer satisfaction.
The project is 7% behind schedule due to inclement weather affecting fiber optic installation. Crews plan to work weekends and extended hours to make up time and still meet the completion date. There is also a risk related to servers delivered with incorrect hardware specifications that will not support the workload at go-live in two months, but will work for development and testing in the interim. Two change requests are noted, one still under review and one approved and added to the project plan. Key performance indicators show the project is behind schedule and over budget.
This document provides a project management plan template for the SmartVoice project. It includes sections on the project management approach, scope, milestones, schedule, change management, communications, cost, procurement, scope, schedule, quality, risk, staffing, resources, cost and quality baselines, and sponsor acceptance. The project manager, Joe Green, will be responsible for managing the project according to this plan and its subsidiary plans. The project involves developing new voice recognition software and will be completed when the software and documentation are transitioned to production.
This document provides a change management plan template for the Inventory Services Project. It outlines the change management approach, definitions of change, roles of the Change Control Board, and the change control process. The change management approach ensures all proposed changes are properly defined, reviewed, approved, implemented, and communicated. The change control board reviews and approves or denies all change requests. The change control process involves identifying needs, logging requests, submitting to the board, obtaining a decision, and implementing any approved changes.
This document provides a procurement management plan template for a project. It outlines the procurement approach, defining procurements needed and authorized approvers. Firm fixed price contracts will be used. Risks include unrealistic vendor expectations and potential delays. Costs will be determined through a request for proposal process. Standard procurement documents will be used for consistency. The plan also identifies schedule, cost, scope, resource, and technology constraints.
This document outlines a process improvement plan for the manufacturing of a new coaxial cable called CAX Cable. The plan describes the stranding and jacketing processes, establishes process boundaries and configurations, identifies metrics to measure performance, and sets targets to improve processes. Metrics for stranding include reducing core material waste from 7% to 5% and decreasing stranding time. Jacketing targets include lowering jacketed cable waste from 9% to 7% and reducing jacketing time. Achieving these targets could save over $550,000 annually and increase manufacturing throughput. The process improvement plan will be followed iteratively to continuously monitor and enhance production.
This human resource plan outlines the roles, responsibilities, and staffing needs for a Software Upgrade Project. It includes a project organizational chart identifying the Project Manager, Design Engineers, Implementation Manager, and Training Lead. It also describes functional managers who will provide resources. The plan details acquiring internal staff, resource requirements over 5 weeks, training needs, and performance reviews. It aims to achieve project success through an effective human resource strategy.
This document outlines the cost management plan for a project. It defines responsibilities for managing and reporting project costs, how costs will be measured and tracked against budget using earned value management, thresholds for cost variances, and the process for developing corrective action plans to address cost overruns. Key aspects of the plan include tracking costs at the fourth level of the work breakdown structure, measuring performance with metrics like schedule and cost performance indexes, requiring corrective action if the SPI or CPI is outside of 0.8-1.2, and obtaining sponsor approval for changes that impact the project budget.
This document provides a communications management plan template for a project. It includes sections on communication roles, methods, standards, and an escalation process. The plan establishes guidelines for formal project communications including meeting agenda, minutes, and status reports. It aims to ensure effective stakeholder engagement and timely issue resolution throughout the project.
This document outlines the configuration management plan for the NexGen Project. It describes the roles and responsibilities for configuration management, including the Configuration Control Board, Project Sponsor, Project Manager, Configuration Manager, Lead Engineers, and Engineers. It also describes the processes for configuration control, the Configuration Management Database, configuration status accounting, and configuration audits to track changes throughout the project lifecycle.
Machine learning advanced certification training (Simplilearn)Vivek Srivastava
Vivek Srivastava completed a Machine Learning Advanced Certification Training on July 22nd, 2020. He passed one project as part of the training. His certificate code for completing the training is 2047897.
Vivek Srivastava has successfully completed all requirements of the Data Scientist program with distinction, as certified on July 29, 2020. His credential ID is 21215636 and can be verified at the provided URL.
Vivek Srivastava completed 1 project for the Data Science Capstone on July 26th, 2020. A certificate with the code 2073024 was issued upon completion of the project.
Vivek Srivastava has successfully completed all requirements of the Data Scientist program with distinction, as certified on July 29, 2020. His credential ID is 21215636 and can be verified at the provided URL.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.