Data Quality Integration (ETL) Open SourceStratebi
Data quality is the process of ensuring data values conform to business requirements. It is important for business intelligence projects which involve data integration from multiple sources. Pentaho Data Integration and DataCleaner are open source tools that can be used together for data integration and quality tasks like extraction, transformation, loading, cleansing and profiling. Performing data quality as part of the ETL process through tools like these helps standardize processes and improve scalability.
OberservePoint - The Digital Data Quality PlaybookObservePoint
There is a big difference between having data and having correct data. But collecting correct, compliant digital data is a journey, not a destination. Here are ten steps to get you to data quality nirvana.
The Persona-Based Value of Modern Data Governance Precisely
Yes, data governance solutions are now a business imperative. But modern demands are requiring integrated capabilities to discover, understand, profile, and measure data integrity across many different functions across your organization.
This presentation shares four persona-based use cases & demos to illustrate how a single modular, and interoperable solution can optimize collaboration and empower your data teams to deliver data-driven decisions faster and more confidently.
Are you ready for the future of data governance? Check out what will be required:
• Understand data relationships to business objectives, metrics, and request new actions
• Discover new data element alerts to profile and add contextual details to your analysis
• Review needed data quality rules, lineage, and impact and proactively
monitor data changes over time.
• Access & respond to data replication request for more timely results
• Create data quality pipelines and enrich data for more insightful analytics
Leveraging Automated Data Validation to Reduce Software Development Timeline...Cognizant
Our enterprise solution for automating data validation - called dataTestPro - facilitates quality assurance (QA) by managing heterogeneous data testing, improving test scheduling, increasing data testing speed and reducing data -validation errors drastically.
The document discusses how organizations can leverage automated testing using tools like Informatica to validate data quality in the ETL process. It provides the following key points:
1) Manual ETL testing is time-consuming and error-prone, while automated testing using tools like Informatica can significantly reduce time spent on testing and increase accuracy.
2) Automated testing provides a sustainable long-term framework for continuous data quality testing and reduces data delivery timelines.
3) The document demonstrates how Informatica was used to automate an organization's testing process, reducing hours spent on testing while improving coverage and accuracy of data validation.
How Can You Implement DataOps In Your Existing Workflow?Enov8
DataOps framework helps your entire workflow to stay agile. Code containerisation involves packaging your code into simple, reusable pieces so that it can be utilised across various platforms or languages.
This document discusses test data management strategies and IBM's approach. It begins by explaining how test data management has become essential for software development. A key challenge is ensuring high quality test data. The document then outlines goals for a test data management strategy, such as producing reusable, consumable, and scalable results. It proposes analyzing needs, crafting data models, and establishing governance. IBM's approach involves engaging consultants, conducting a proof of concept, piloting the strategy, and full implementation using test data management tools. The overall goal is to improve testing efficiency and effectiveness.
Balance Quality and Efficiency with Data Annotation OutsourcingAndrew Leo
Data annotation is the process of tagging data points. These labels provide a meaning and structure to data, which helps the machines to perform the desired actions. However, performing the data labeling task can be challenging for many businesses, especially those with limited budgets and manpower. This is where data annotation outsourcing comes to the rescue.
Some of the benefits of engaging in data annotation services are:
Better Security
Quality Work and Scalability
More Efficiency
In-depth Expertise
Superior Datasets
Cost Effective
Originally Posted blog , Click here: https://samthomas90.hashnode.dev/balance-quality-and-efficiency-with-data-annotation-outsourcing
#dataannotationoutsourcing
#datannotationservices
#dataannotationsolutions
#dataannotationcompany
Data Quality Integration (ETL) Open SourceStratebi
Data quality is the process of ensuring data values conform to business requirements. It is important for business intelligence projects which involve data integration from multiple sources. Pentaho Data Integration and DataCleaner are open source tools that can be used together for data integration and quality tasks like extraction, transformation, loading, cleansing and profiling. Performing data quality as part of the ETL process through tools like these helps standardize processes and improve scalability.
OberservePoint - The Digital Data Quality PlaybookObservePoint
There is a big difference between having data and having correct data. But collecting correct, compliant digital data is a journey, not a destination. Here are ten steps to get you to data quality nirvana.
The Persona-Based Value of Modern Data Governance Precisely
Yes, data governance solutions are now a business imperative. But modern demands are requiring integrated capabilities to discover, understand, profile, and measure data integrity across many different functions across your organization.
This presentation shares four persona-based use cases & demos to illustrate how a single modular, and interoperable solution can optimize collaboration and empower your data teams to deliver data-driven decisions faster and more confidently.
Are you ready for the future of data governance? Check out what will be required:
• Understand data relationships to business objectives, metrics, and request new actions
• Discover new data element alerts to profile and add contextual details to your analysis
• Review needed data quality rules, lineage, and impact and proactively
monitor data changes over time.
• Access & respond to data replication request for more timely results
• Create data quality pipelines and enrich data for more insightful analytics
Leveraging Automated Data Validation to Reduce Software Development Timeline...Cognizant
Our enterprise solution for automating data validation - called dataTestPro - facilitates quality assurance (QA) by managing heterogeneous data testing, improving test scheduling, increasing data testing speed and reducing data -validation errors drastically.
The document discusses how organizations can leverage automated testing using tools like Informatica to validate data quality in the ETL process. It provides the following key points:
1) Manual ETL testing is time-consuming and error-prone, while automated testing using tools like Informatica can significantly reduce time spent on testing and increase accuracy.
2) Automated testing provides a sustainable long-term framework for continuous data quality testing and reduces data delivery timelines.
3) The document demonstrates how Informatica was used to automate an organization's testing process, reducing hours spent on testing while improving coverage and accuracy of data validation.
How Can You Implement DataOps In Your Existing Workflow?Enov8
DataOps framework helps your entire workflow to stay agile. Code containerisation involves packaging your code into simple, reusable pieces so that it can be utilised across various platforms or languages.
This document discusses test data management strategies and IBM's approach. It begins by explaining how test data management has become essential for software development. A key challenge is ensuring high quality test data. The document then outlines goals for a test data management strategy, such as producing reusable, consumable, and scalable results. It proposes analyzing needs, crafting data models, and establishing governance. IBM's approach involves engaging consultants, conducting a proof of concept, piloting the strategy, and full implementation using test data management tools. The overall goal is to improve testing efficiency and effectiveness.
Balance Quality and Efficiency with Data Annotation OutsourcingAndrew Leo
Data annotation is the process of tagging data points. These labels provide a meaning and structure to data, which helps the machines to perform the desired actions. However, performing the data labeling task can be challenging for many businesses, especially those with limited budgets and manpower. This is where data annotation outsourcing comes to the rescue.
Some of the benefits of engaging in data annotation services are:
Better Security
Quality Work and Scalability
More Efficiency
In-depth Expertise
Superior Datasets
Cost Effective
Originally Posted blog , Click here: https://samthomas90.hashnode.dev/balance-quality-and-efficiency-with-data-annotation-outsourcing
#dataannotationoutsourcing
#datannotationservices
#dataannotationsolutions
#dataannotationcompany
Data has become one of the most valuable commodities in the world, and it can make or break a business in no time. The DataOps approach to data management is the newest and most advanced. Technology and processes in an organization can be merged with business processes through DataOps
Data blending allows you to combine data from various sources and formats into a single data set for comprehensive analysis. It provides automated tools to access, integrate, cleanse, and analyze data faster and more accurately than traditional methods. The best data blending solutions offer interoperability, flexibility, and automated blending capabilities while delivering fast, secure data preparation.
Clean data directly impacts businesses processes, improves productivity, and fuels informed decision-making. However, frequent validation of large data volumes requires time, concentration, understanding of data sources, and training in certain tools.
Choosing to outsource data cleansing can get the advantage of a coherent database with minimal effort and at a reasonable cost. But selecting the right person for the job can be difficult. However, you can simplify this process by understanding the best approach, tools, techniques, and advantages of data cleansing. https://www.data-entry-india.com/blog/data-cleansing-outsourcing-company
Modern Data Governance: Synergies with Quality and Observability Precisely
The document discusses Precisely's Data Integrity Suite, which provides modular and interoperable solutions for data integration, quality, governance, and enrichment. The suite allows different user personas like business owners, data stewards, data engineers, and analysts to seamlessly collaborate across functions. It highlights how the suite offers searchability, monitoring, automated workflows, and integrated capabilities to help customers improve data accuracy and confidence at every stage of their data integrity journey.
Deliver Trusted Data by Leveraging ETL TestingCognizant
We explore how extract, transform and load (ETL) testing with SQL scripting is crucial to data validation and show how to test data on a large scale in a streamlined manner with an Informatica ETL testing tool.
This candidate has over 4 years of experience as an Informatica Developer, Master Data Management specialist, and Information Development Director developer. She has worked on various projects involving ETL development using Informatica PowerCenter, master data management using Informatica MDM, and application development using Informatica IDD. She has strong skills in Oracle PL/SQL, Informatica PowerCenter, MDM, and IDD and has experience designing and developing mappings, packages, and applications to meet client needs and requirements.
This candidate has over 4 years of experience as an Informatica Developer, Master Data Management specialist, and Information Development Director developer. She has worked on various projects involving ETL development using Informatica PowerCenter, master data management using Informatica MDM, and application development using Informatica IDD. She is proficient in Oracle PL/SQL and has experience analyzing requirements, designing solutions, developing mappings and workflows, testing, and supporting clients. She is a motivated professional who works well independently and in a team.
Data Con LA 2022 - Why Data Quality vigilance requires an End-to-End, Automat...Data Con LA
Curtis ODell, Global Director Data Integrity at Tricentis
Join me to learn about a new end-to-end data testing approach designed for modern data pipelines that fills dangerous gaps left by traditional data management tools—one designed to handle structured and unstructured data from any source. You'll hear how you can use unique automation technology to reach up to 90 percent test coverage rates and deliver trustworthy analytical and operational data at scale. Several real world use cases from major banks/finance, insurance, health analytics, and Snowflake examples will be presented.
Key Learning Objective
1. Data journeys are complex and you have to ensure integrity of the data end to end across this journey from source to end reporting for compliance
2. Data Management tools do not test data, they profile and monitor at best, and leave serious gaps in your data testing coverage
3. Automation with integration to DevOps and DataOps' CI/CD processes are key to solving this.
4. How this approach has impact in your vertical
This document summarizes a presentation about managing enterprise data quality using SAP Information Steward. It discusses:
1) How data quality challenges can arise within a business intelligence information pipeline as data moves between systems.
2) The role of Information Steward in providing visibility into data quality issues across systems and addressing those issues.
3) Best practices for implementing a data quality tool, such as defining roles and responsibilities, and using the tool to monitor quality and detect issues.
Getting it Right the First Time: Key Components of a Successful Automation Im...Precisely
Complex, data-intensive SAP processes such as introducing new products or expanding your business to new markets can strain an organization and create bottlenecks that can hamper business growth. Yet, automating these processes can introduce a new set of challenges that often lead to IT bottlenecks and organizational disruptions.
Attend this webinar to understand how to drive better business results by leveraging a flexible, scalable automation platform that works across your entire SAP ERP landscape. Explore the benefits and requirements of implementing an automation platform to streamline complex, data-intensive SAP processes, and:
Prepare your organization and technical infrastructure for automation, including implementation requirements and the upfront need for process analysis and re-engineeringAchieve maximum value from SAP process automation, including KPIs to measure the benefits Discuss the various types of automation solutions available for SAP and review evaluation criteria to help determine which one best meets your organization’s needs
How Data Processing Companies Enhance Data Accuracy and IntegrityAndrew Leo
In today's digital age, accurate and reliable data is essential for effective decision-making. Discover how data processing companies enhance data accuracy and integrity through advanced techniques and specialized expertise.
The Role of Data Processing Companies
Businesses rely on these experts to ensure data remains accurate, reliable, and consistent.
Understanding Data Processing
Transforming raw data into valuable information involves gathering, cleaning, transforming, and analyzing data.
Benefits of Accurate Data
Accurate data enables informed decision-making and improves performance and competitiveness.
Ensuring Online Data Accuracy
Advanced algorithms clean and deduplicate online data, ensuring better decision-making.
Offline Data Processing
Integrating unstructured offline data, like sensor data, provides valuable operational insights.
Techniques for Enhancing Data Integrity
Data cleaning, validation, duplicate removal, normalization, and data enrichment are key strategies.
Data processing companies can help in maintaining data accuracy and integrity, enabling businesses to thrive.
Enhance your data strategy with expert data processing services today.
Hyperautomation and AI/ ML: A Strategy for Digital Transformation SuccessPrecisely
Hyperautomation is more than just a trendy buzzword. A well-executed hyperautomation strategy has a powerful role to play in creating better, more efficient process automation. Ultimately, this helps you accelerate digital transformation and gain the agility, speed, and data integrity you need for success.
Join this session to discover:
· The importance of hyperautomation for rapidly expanding automation across your organization
· How different types of AI will be incorporated into automation solutions in the future
· Why AI can drive efficiencies across your automation solutions
· Why an automation platform is critical to your automation strategy
· The kind of results you could realize from automation today and how AI can improve these processes further
Successfully Automating Your SAP Master Data ProcessesPrecisely
Complex, data-intensive SAP processes such as introducing new products or expanding your business to new markets can strain an organisation and create bottlenecks that hamper business growth. Yet, automating these processes can introduce a new set of challenges that often hinder IT teams and lead to organisational disruptions.
Join this webinar to understand how to drive better business results by leveraging a flexible, scalable automation platform that works across your entire SAP ERP landscape. Explore the benefits and requirements of implementing an automation platform to streamline complex, data-intensive SAP processes, and how:
• To identify the right kind of processes for introducing automation
• Deploying web-based forms can significantly speed up processes and eliminate manual data management
• Automation of complex, data-intensive product processes can drive better business results.
Learn statistics and expert opinions on the state of the market regarding data quality in 2023.
Learn about:
- statistics and expert opinions
- the key focus of data quality in 2023
- the Data Maturity Model
- DevOps for data and CI/CD pipelines
- data validation and ETL testing
- test automation
All You Need To Know About Big Data Testing - Bahaa Al Zubaidi.pdfBahaa Al Zubaidi
The document discusses big data testing. It defines big data testing as reviewing and validating the functionality of big data systems to ensure they perform efficiently and securely with minimal errors. There are four forms of big data testing: architecture testing, database testing, performance testing, and functional testing. Effective big data testing requires test data, a test environment with large storage, data and distributed nodes clusters, and performance testing to analyze different volumes and types of data quickly. Recommended tools for big data testing include HDFS, HPCC, Cloudera Distribution for Hadoop, and Cassandra.
To ensure the accuracy and reliability of your business's information assets, following the proper data cleansing stepsis vital. Consider utilizing reliable data cleansing services that employ automated tools to detect and rectify issues such as duplicate entries, incomplete records, and formatting issues.
Building a Robust Big Data QA Ecosystem to Mitigate Data Integrity ChallengesCognizant
With big data growing exponentially, the need to test semi-structured and unstructured data has risen; we offer several strategies for big data quality assurance (QA), taking into account data security, scalability and performance issues. Our recommendations center around data warehouse testing, performance testing and test data management.
Hyperautomation & AI/ML: Keys to Digital Transformation SuccessPrecisely
Hyperautomation is more than just a trendy buzzword. A well-executed hyperautomation strategy has a powerful role to play in creating better, more efficient process automation. Ultimately, this helps you accelerate digital transformation and gain the agility, speed, and data integrity you need for success.
Join this session to discover:
The importance of hyperautomation for rapidly expanding automation across your organizationHow different types of AI will be incorporated into automation solutions in the futureWhy AI can drive efficiencies across your automation solutionsWhy an automation platform is critical to your automation strategyThe kind of results you could realize from automation today and how AI can improve these processes further
Database automation tools are needed to automate repetitive tasks, reduce risks from manual errors, improve alignment between business and IT, and allow organizations to move faster. They help keep systems running smoothly through monitoring, provisioning, backup/restore, maintenance, security, and more. When choosing a tool, organizations should consider ease of implementation, breadth of use cases covered, ability to work on-premises and in the cloud, long-term costs, customizability, learning curve, and do a trial run.
Atidan is a global IT firm established in 2005 that specializes in software development, technical support, and managed services. It has offices in North America, India, UK, and Singapore. The document provides details on Atidan's services, awards, infrastructure, leadership team, and case studies highlighting projects for clients in media, finance, logistics, and other industries.
Google aims to relaunch the Gemini AI image tool in a Few WeeksMoogleLabs default
Discover Google's plan to relaunch Gemini AI Image Tool soon. Stay informed about the latest updates and improvements in image processing technology. Exciting developments await!
Unlock the future of AI/ML services with our insights into the 9 key trends shaping 2024. From advanced neural networks to ethical AI practices, stay ahead with cutting-edge innovations. Discover how Mooglelabs is revolutionizing AI/ML services to drive efficiency, enhance customer experiences, and propel businesses into the future.
Data has become one of the most valuable commodities in the world, and it can make or break a business in no time. The DataOps approach to data management is the newest and most advanced. Technology and processes in an organization can be merged with business processes through DataOps
Data blending allows you to combine data from various sources and formats into a single data set for comprehensive analysis. It provides automated tools to access, integrate, cleanse, and analyze data faster and more accurately than traditional methods. The best data blending solutions offer interoperability, flexibility, and automated blending capabilities while delivering fast, secure data preparation.
Clean data directly impacts businesses processes, improves productivity, and fuels informed decision-making. However, frequent validation of large data volumes requires time, concentration, understanding of data sources, and training in certain tools.
Choosing to outsource data cleansing can get the advantage of a coherent database with minimal effort and at a reasonable cost. But selecting the right person for the job can be difficult. However, you can simplify this process by understanding the best approach, tools, techniques, and advantages of data cleansing. https://www.data-entry-india.com/blog/data-cleansing-outsourcing-company
Modern Data Governance: Synergies with Quality and Observability Precisely
The document discusses Precisely's Data Integrity Suite, which provides modular and interoperable solutions for data integration, quality, governance, and enrichment. The suite allows different user personas like business owners, data stewards, data engineers, and analysts to seamlessly collaborate across functions. It highlights how the suite offers searchability, monitoring, automated workflows, and integrated capabilities to help customers improve data accuracy and confidence at every stage of their data integrity journey.
Deliver Trusted Data by Leveraging ETL TestingCognizant
We explore how extract, transform and load (ETL) testing with SQL scripting is crucial to data validation and show how to test data on a large scale in a streamlined manner with an Informatica ETL testing tool.
This candidate has over 4 years of experience as an Informatica Developer, Master Data Management specialist, and Information Development Director developer. She has worked on various projects involving ETL development using Informatica PowerCenter, master data management using Informatica MDM, and application development using Informatica IDD. She has strong skills in Oracle PL/SQL, Informatica PowerCenter, MDM, and IDD and has experience designing and developing mappings, packages, and applications to meet client needs and requirements.
This candidate has over 4 years of experience as an Informatica Developer, Master Data Management specialist, and Information Development Director developer. She has worked on various projects involving ETL development using Informatica PowerCenter, master data management using Informatica MDM, and application development using Informatica IDD. She is proficient in Oracle PL/SQL and has experience analyzing requirements, designing solutions, developing mappings and workflows, testing, and supporting clients. She is a motivated professional who works well independently and in a team.
Data Con LA 2022 - Why Data Quality vigilance requires an End-to-End, Automat...Data Con LA
Curtis ODell, Global Director Data Integrity at Tricentis
Join me to learn about a new end-to-end data testing approach designed for modern data pipelines that fills dangerous gaps left by traditional data management tools—one designed to handle structured and unstructured data from any source. You'll hear how you can use unique automation technology to reach up to 90 percent test coverage rates and deliver trustworthy analytical and operational data at scale. Several real world use cases from major banks/finance, insurance, health analytics, and Snowflake examples will be presented.
Key Learning Objective
1. Data journeys are complex and you have to ensure integrity of the data end to end across this journey from source to end reporting for compliance
2. Data Management tools do not test data, they profile and monitor at best, and leave serious gaps in your data testing coverage
3. Automation with integration to DevOps and DataOps' CI/CD processes are key to solving this.
4. How this approach has impact in your vertical
This document summarizes a presentation about managing enterprise data quality using SAP Information Steward. It discusses:
1) How data quality challenges can arise within a business intelligence information pipeline as data moves between systems.
2) The role of Information Steward in providing visibility into data quality issues across systems and addressing those issues.
3) Best practices for implementing a data quality tool, such as defining roles and responsibilities, and using the tool to monitor quality and detect issues.
Getting it Right the First Time: Key Components of a Successful Automation Im...Precisely
Complex, data-intensive SAP processes such as introducing new products or expanding your business to new markets can strain an organization and create bottlenecks that can hamper business growth. Yet, automating these processes can introduce a new set of challenges that often lead to IT bottlenecks and organizational disruptions.
Attend this webinar to understand how to drive better business results by leveraging a flexible, scalable automation platform that works across your entire SAP ERP landscape. Explore the benefits and requirements of implementing an automation platform to streamline complex, data-intensive SAP processes, and:
Prepare your organization and technical infrastructure for automation, including implementation requirements and the upfront need for process analysis and re-engineeringAchieve maximum value from SAP process automation, including KPIs to measure the benefits Discuss the various types of automation solutions available for SAP and review evaluation criteria to help determine which one best meets your organization’s needs
How Data Processing Companies Enhance Data Accuracy and IntegrityAndrew Leo
In today's digital age, accurate and reliable data is essential for effective decision-making. Discover how data processing companies enhance data accuracy and integrity through advanced techniques and specialized expertise.
The Role of Data Processing Companies
Businesses rely on these experts to ensure data remains accurate, reliable, and consistent.
Understanding Data Processing
Transforming raw data into valuable information involves gathering, cleaning, transforming, and analyzing data.
Benefits of Accurate Data
Accurate data enables informed decision-making and improves performance and competitiveness.
Ensuring Online Data Accuracy
Advanced algorithms clean and deduplicate online data, ensuring better decision-making.
Offline Data Processing
Integrating unstructured offline data, like sensor data, provides valuable operational insights.
Techniques for Enhancing Data Integrity
Data cleaning, validation, duplicate removal, normalization, and data enrichment are key strategies.
Data processing companies can help in maintaining data accuracy and integrity, enabling businesses to thrive.
Enhance your data strategy with expert data processing services today.
Hyperautomation and AI/ ML: A Strategy for Digital Transformation SuccessPrecisely
Hyperautomation is more than just a trendy buzzword. A well-executed hyperautomation strategy has a powerful role to play in creating better, more efficient process automation. Ultimately, this helps you accelerate digital transformation and gain the agility, speed, and data integrity you need for success.
Join this session to discover:
· The importance of hyperautomation for rapidly expanding automation across your organization
· How different types of AI will be incorporated into automation solutions in the future
· Why AI can drive efficiencies across your automation solutions
· Why an automation platform is critical to your automation strategy
· The kind of results you could realize from automation today and how AI can improve these processes further
Successfully Automating Your SAP Master Data ProcessesPrecisely
Complex, data-intensive SAP processes such as introducing new products or expanding your business to new markets can strain an organisation and create bottlenecks that hamper business growth. Yet, automating these processes can introduce a new set of challenges that often hinder IT teams and lead to organisational disruptions.
Join this webinar to understand how to drive better business results by leveraging a flexible, scalable automation platform that works across your entire SAP ERP landscape. Explore the benefits and requirements of implementing an automation platform to streamline complex, data-intensive SAP processes, and how:
• To identify the right kind of processes for introducing automation
• Deploying web-based forms can significantly speed up processes and eliminate manual data management
• Automation of complex, data-intensive product processes can drive better business results.
Learn statistics and expert opinions on the state of the market regarding data quality in 2023.
Learn about:
- statistics and expert opinions
- the key focus of data quality in 2023
- the Data Maturity Model
- DevOps for data and CI/CD pipelines
- data validation and ETL testing
- test automation
All You Need To Know About Big Data Testing - Bahaa Al Zubaidi.pdfBahaa Al Zubaidi
The document discusses big data testing. It defines big data testing as reviewing and validating the functionality of big data systems to ensure they perform efficiently and securely with minimal errors. There are four forms of big data testing: architecture testing, database testing, performance testing, and functional testing. Effective big data testing requires test data, a test environment with large storage, data and distributed nodes clusters, and performance testing to analyze different volumes and types of data quickly. Recommended tools for big data testing include HDFS, HPCC, Cloudera Distribution for Hadoop, and Cassandra.
To ensure the accuracy and reliability of your business's information assets, following the proper data cleansing stepsis vital. Consider utilizing reliable data cleansing services that employ automated tools to detect and rectify issues such as duplicate entries, incomplete records, and formatting issues.
Building a Robust Big Data QA Ecosystem to Mitigate Data Integrity ChallengesCognizant
With big data growing exponentially, the need to test semi-structured and unstructured data has risen; we offer several strategies for big data quality assurance (QA), taking into account data security, scalability and performance issues. Our recommendations center around data warehouse testing, performance testing and test data management.
Hyperautomation & AI/ML: Keys to Digital Transformation SuccessPrecisely
Hyperautomation is more than just a trendy buzzword. A well-executed hyperautomation strategy has a powerful role to play in creating better, more efficient process automation. Ultimately, this helps you accelerate digital transformation and gain the agility, speed, and data integrity you need for success.
Join this session to discover:
The importance of hyperautomation for rapidly expanding automation across your organizationHow different types of AI will be incorporated into automation solutions in the futureWhy AI can drive efficiencies across your automation solutionsWhy an automation platform is critical to your automation strategyThe kind of results you could realize from automation today and how AI can improve these processes further
Database automation tools are needed to automate repetitive tasks, reduce risks from manual errors, improve alignment between business and IT, and allow organizations to move faster. They help keep systems running smoothly through monitoring, provisioning, backup/restore, maintenance, security, and more. When choosing a tool, organizations should consider ease of implementation, breadth of use cases covered, ability to work on-premises and in the cloud, long-term costs, customizability, learning curve, and do a trial run.
Atidan is a global IT firm established in 2005 that specializes in software development, technical support, and managed services. It has offices in North America, India, UK, and Singapore. The document provides details on Atidan's services, awards, infrastructure, leadership team, and case studies highlighting projects for clients in media, finance, logistics, and other industries.
Google aims to relaunch the Gemini AI image tool in a Few WeeksMoogleLabs default
Discover Google's plan to relaunch Gemini AI Image Tool soon. Stay informed about the latest updates and improvements in image processing technology. Exciting developments await!
Unlock the future of AI/ML services with our insights into the 9 key trends shaping 2024. From advanced neural networks to ethical AI practices, stay ahead with cutting-edge innovations. Discover how Mooglelabs is revolutionizing AI/ML services to drive efficiency, enhance customer experiences, and propel businesses into the future.
We delve into the top blockchain trends that are set to redefine the industry in the coming year. From DeFi evolution to quantum-resistant blockchains, discover the latest developments and emerging opportunities in the world of decentralized technology. Check it out today!
Unleashing the Potential of DALL-E 2 AI Image GenerationMoogleLabs default
The Generative AI revolution is making waves across industries. From ChatGPT to Google Bard, the excitement is continually growing. Beyond text generation, research, and conversations, Generative AI applications have expanded their horizons. Read more...
MoogleLabs offer the best machine-learning solution to solve a wide range of use cases in multiple industries.ML algorithms have the power to understand, and improve their situational awareness, and build on it. Visit our website to learn more about it.
What Is AI Everything To Know About Artificial Intelligence.pptxMoogleLabs default
Artificial intelligence (AI) is the ability of machines to mimic human intelligence through tasks like learning, reasoning and problem-solving. The document discusses the history and types of AI, top applications, and ethical considerations. It also provides contact information to learn more about AI and its features.
Organisations that detect and address vulnerabilities early in the development process reduce the costs associated with fixing security issues after deployment. Read more...
How Artificial Intelligence Improves Customer EngagementMoogleLabs default
Using artificial intelligence to predict customers' emotions and needs will help in creating an experience that feels crafted for them. Artificial intelligence can use past purchases and behaviours to determine things that might interest customers. Read more...
One of the most effective methods is to identify a common consumer problem and offer a solution. An experienced AI ML development company will begin the process by researching your target audience, market, and competitors. Read more...
The long-term productivity of a business is becoming increasingly dependent on robotic process automation (RPA). RPA is the best technology to handle repetitive tasks that frequently involve human error. Read more...
The most important element in Jenkins architecture is the Jenkins slave. It is a java executable running on a remote machine that hear the requests from the Jenkins master instance .
Read more...
Programmable Quantum device that can solve a problem that no classical computer can solve in any feasible amount of time. We have transformed businesses with our deep understanding of technology that can be utilized for various industries. Read more...
Webinar - Decoding Metaverse and its Business Opportunities - Metaverse Servi...MoogleLabs default
MoogleLabs provides AI/ML, blockchain, DevOps, and data science services to help organizations embrace new technologies. They have experienced experts and resources to streamline clients' technology journeys. MoogleLabs transforms businesses with its deep technology understanding and builds great client relationships through transparency.
The worldwide blockchain technology market will expand significantly between 2017 and 2027, predicts a Statista analysis. Now we will cover different areas/industries where Blockchain is creating massive change. Read more...
The third generation of the World Wide Web is referred as Web 3.0 or Web3. It is a concept for a decentralised, open, and more useful Web that is still under development. The key ideas of decentralisation, openness, and increased user utility are the foundations around which Web 3.0 development is based. Check it out for more info!
is a method to frequently deliver apps to customers by introducing automation into the stages of app development. The main concepts attributed to CI/CD are continuous integration, continuous delivery, and continuous deployment. A solution to the problems integrating new code can cause for development and operations teams.
How Blockchain is Driving Transparency Across the Supply Chain MoogleLabs default
Blockchain technology has the potential to change how the internet works. Currently, several business operations, including the supply chain, are relying on its function to facilitate transparency while maintaining the security and safety of data. Read more...
Artificial intelligence, or AI, is a simulation of intelligent
human behavior. It’s a computer or system designed to
perceive its environment, understand its behaviors, and
take action. Read more...
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
2. What is Data
Preprocessing
The pre-processing stage converts raw data
from its natural state to a standard format
suitable for analysis.
It is an important part of machine learning
development services, as data pre-processing
enables increased accuracy and efficiency in the
final product.
3. Types of Data
• Numerical Data
• Categorical Data
• Text Data
Time Series Data
5. Characteristics
of Data Preparation
Data validation is the process by which
businesses examine and judge whether the
raw data for a project is complete and
accurate in order to achieve the best results.
1
Data imputation is the process of manually
inputting missing numbers and correcting
data errors discovered during the validation
process or through coding, such as
business process automation.
2
6. Pre-Processing is a Must in Machine
Learning Development Services
Machine learning development services must include data. Companies generally
hire data analysts to pre-process the data before going to a machine learning
development company to create the final product. Get in touch with MoogleLabs
today, and start your journey of utilizing the latest technology to improve your
operations today.