#data-quality

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Productivity
fromHackernoon
2 years ago

Is AI the End of Sustainability? | HackerNoon

Sustainable product management integrates longevity, team resilience, and strategic clarity in product development. It transcends simple environmental goals.
#artificial-intelligence
fromAbove the Law
4 months ago
Data science

Forensic Data Collection: A Bridge Between Digital Forensics, eDiscovery, And Artificial Intelligence - Above the Law

fromAbove the Law
4 months ago
Data science

Forensic Data Collection: A Bridge Between Digital Forensics, eDiscovery, And Artificial Intelligence - Above the Law

more#artificial-intelligence
#ai-integration
Artificial intelligence
fromMarTech
6 months ago

Overcoming AI challenges in martech to maximize ROI | MarTech

AI integration into martech stacks is complex but essential for improving marketing efficiency.
Organizations must address resistance to AI and focus on data readiness for successful integration.
Artificial intelligence
fromMarTech
6 months ago

Overcoming AI challenges in martech to maximize ROI | MarTech

AI integration into martech stacks is complex but essential for improving marketing efficiency.
Organizations must address resistance to AI and focus on data readiness for successful integration.
more#ai-integration
fromZDNET
3 weeks ago

A million customer conversations with AI agents yielded this surprising lesson

Salesforce's AI agents have efficiently handled over one million customer inquiries since their launch, demonstrating enhanced service and support.
fromTechCrunch
3 weeks ago

AI is forcing the data industry to consolidate - but that's not the whole story | TechCrunch

There is a complete reset in how data is managed and flows around the enterprise. If people want to seize the AI imperative, they have to redo their data platforms in a very big way. And this is where I believe you're seeing all these data acquisitions, because this is the foundation to have a sound AI strategy.
Data science
#ai-development
fromFuturism
1 month ago
Artificial intelligence

ChatGPT Has Already Polluted the Internet So Badly That It's Hobbling Future AI Development

Data science
fromHackernoon
6 months ago

The Art of Data Creation: Behind the Scenes of AI Training | HackerNoon

Data creation is essential for AI development, focusing on generating realistic datasets for effective model training.
fromFuturism
1 month ago
Artificial intelligence

ChatGPT Has Already Polluted the Internet So Badly That It's Hobbling Future AI Development

Data science
fromHackernoon
6 months ago

The Art of Data Creation: Behind the Scenes of AI Training | HackerNoon

Data creation is essential for AI development, focusing on generating realistic datasets for effective model training.
more#ai-development
#b2b-marketing
more#b2b-marketing
fromBusiness Insider
1 month ago

Alexandr Wang said he refused to let go of 2 tasks - no matter how big Scale AI got

Alexandr Wang emphasizes personal involvement in hiring and quality control at Scale AI, contributing to the company's high standards.
UK news
fromwww.bbc.com
1 month ago

UK inflation number too high after data blunder

The UK's inflation data was incorrectly reported due to inaccurate road tax data, highlighting issues with the ONS's data quality.
#data-management
more#data-management
#ai
Artificial intelligence
fromFuturism
2 months ago

AI Models Show Signs of Falling Apart as They Ingest More AI-Generated Data

AI models are at risk of collapse due to reliance on AI-generated data for training, causing a cycle of degraded output.
Artificial intelligence
fromWIRED
4 months ago

Databricks Has a Trick That Lets AI Models Improve Themselves

Databricks has developed a method to enhance AI performance with minimal clean data using reinforcement learning and synthetic data.
Artificial intelligence
fromFuturism
2 months ago

AI Models Show Signs of Falling Apart as They Ingest More AI-Generated Data

AI models are at risk of collapse due to reliance on AI-generated data for training, causing a cycle of degraded output.
Artificial intelligence
fromWIRED
4 months ago

Databricks Has a Trick That Lets AI Models Improve Themselves

Databricks has developed a method to enhance AI performance with minimal clean data using reinforcement learning and synthetic data.
more#ai
fromHackernoon
5 years ago

Traditional Monitoring Is Dead. Long Live Data Observability | HackerNoon

Traditional monitoring fails to meet the needs of complex data organizations; instead, engineers must develop interactive observability frameworks to quickly identify anomalies.
Data science
Scala
fromMedium
2 months ago

Data Quality Verification with Deequ: A Practical Approach Using Scala

Utilizing Deequ and Scala for efficient and automated data validation is highly effective for managing large datasets.
fromHackernoon
7 months ago

Limitations of Current Biomedical Text Mining Community Challenges | HackerNoon

The evaluation tasks within the biomedical text mining community face significant limitations, particularly regarding data representativeness, quality, and participant innovation in solution development.
Online Community Development
fromSearch Engine Roundtable
3 months ago

Google Analytics Makes Updates To Campaign Data Quality & Attribution Reporting (Data not available)

Google Analytics is elevating data quality and making high-quality data the standard in this dynamic environment.
Marketing tech
#machine-learning
fromHackernoon
7 months ago
Media industry

Scientists Built a Smarter, Sharper Materials Graph by Teaching AI to Double-Check Its Work | HackerNoon

fromHackernoon
7 months ago
Media industry

Scientists Built a Smarter, Sharper Materials Graph by Teaching AI to Double-Check Its Work | HackerNoon

more#machine-learning
frommedium.com
3 months ago

Spark Scala Exercise 24: Error Handling and Logging in SparkBuild Safe, Auditable ETL Pipelines

Build a defensive Spark ETL pipeline to ensure robust data processing.
Handle data issues like schema mismatches and corrupt records effectively.
Implement custom logging and audit trails for better failure management.
fromEntrepreneur
4 months ago

More Than a Quarter of Your Email List May Be Bad - Here Are 5 Ways to Clean It | Entrepreneur

Email marketing revenue is projected to reach $13.6 billion this year. Prioritizing email and maintaining a healthy list is key to leveraging its potential.
Marketing tech
#ai-adoption
Marketing tech
fromMarTech
4 months ago

AI adoption accelerating, but many fall behind: IAB report | MarTech

AI is reshaping media and marketing, but its integration remains uneven, with brands lagging due to challenges in data quality and governance.
fromMarTech
8 months ago
Artificial intelligence

AI readiness checklist: 7 key steps to a successful integration | MarTech

Marketing tech
fromMarTech
4 months ago

AI adoption accelerating, but many fall behind: IAB report | MarTech

AI is reshaping media and marketing, but its integration remains uneven, with brands lagging due to challenges in data quality and governance.
fromMarTech
8 months ago
Artificial intelligence

AI readiness checklist: 7 key steps to a successful integration | MarTech

more#ai-adoption
fromDigiday
4 months ago

How data marketplaces are evolving to meet buyers' expectations

Data buyers are shifting from prioritizing broad audience availability to focusing on data quality, durability, and compliance, as privacy regulations and signal loss reshape strategies.
Marketing tech
Marketing tech
fromMarTech
4 months ago

Are synthetic audiences the future of marketing testing? | MarTech

Synthetic audience testing offers marketers a sophisticated alternative to traditional focus groups, utilizing digital avatars for customer insights.
Artificial intelligence
fromITPro
4 months ago

Data quality worries are holding back AI adoption among manufacturers, despite optimism over its growth potential

Manufacturers see AI as valuable but are hindered by concerns over data quality in implementation.
#data-engineering
Business intelligence
fromMedium
5 months ago

Serving Data in the Data Engineering Lifecycle: A Comprehensive Guide

Data engineering culminates in serving data for analytics, ML, and operations.
Data quality and trust are critical in serving data effectively.
Data science
fromMedium
5 months ago

Understanding Data Generation in Source Systems: How It Works and Real-Time Applications

Data generation is crucial in data engineering lifecycle for reliable processing and transformation.
Business intelligence
fromMedium
5 months ago

Serving Data in the Data Engineering Lifecycle: A Comprehensive Guide

Data engineering culminates in serving data for analytics, ML, and operations.
Data quality and trust are critical in serving data effectively.
Data science
fromMedium
5 months ago

Understanding Data Generation in Source Systems: How It Works and Real-Time Applications

Data generation is crucial in data engineering lifecycle for reliable processing and transformation.
more#data-engineering
Business intelligence
fromClickUp
5 months ago

CRM Hygiene: Improve Data Quality and Sales Performance

Proper CRM hygiene is essential for reducing lost opportunities and improving sales performance.
Regular data audits and standardization are key practices for maintaining CRM hygiene.
Data science
fromMarTech
6 months ago

4 ways to correct bad data and improve your AI | MarTech

Bad data significantly impacts AI analytics, leading to poor insights and bias, necessitating careful management and validation of datasets.
Data science
fromHackernoon
11 months ago

Data Quality, Integration, and the Foundation for AI: What It All Means | HackerNoon

Strong organizational foundation depends on data quality for growth, especially during the AI era.
#generative-ai
Data science
fromNextgov.com
10 months ago

How to be data-ready for AI adoption

Data quality is critical for effective generative AI usage; poor data can lead to inaccuracies and 'garbage in, garbage out' outcomes.
Data science
fromNextgov.com
10 months ago

How to be data-ready for AI adoption

Data quality is critical for effective generative AI usage; poor data can lead to inaccuracies and 'garbage in, garbage out' outcomes.
more#generative-ai
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