#data-quality
#data-quality

Insider Q&A: Pentagon AI Chief on Network-Centric Warfare, Generative AI Challenges

Chief digital and AI officer at the Pentagon expresses concerns about generative AI systems like ChatGPT being used for deception and disinformation.

The goal is to scale decision advantage from the boardroom to the battlefield by developing tools, processes, infrastructure, and policies.

There is a need for high-quality data in order for AI to be effective in military applications. [ more ]

DATAVERSITY

Business intelligence

ADV Webinar: Data Quality - The ROI of Adding Intelligence to Data - DATAVERSITY

Data Quality is critical to the success of projects and strategic initiatives

Measuring the quality of data is essential for improvement [ more ]

moredata quality

DATAVERSITY

1 week ago

Data science

Granularity Is the True Data Advantage - DATAVERSITY

Data should focus on quality over quantity for effective decision-making. [ more ]

MarTech

1 month ago

Data science

How to make sure your data is AI-ready | MarTech

Leading CRM platforms are integrating AI features like autonomous chats and sentiment analysis.

Good data quality is essential for AI technology to be effective. [ more ]

DevOps.com

2 weeks ago

AIOps Success Requires Synthetic Internet Telemetry Data - DevOps.com

AI in ITOps success relies on comprehensive and diverse telemetry data. [ more ]

Nextgov.com

1 month ago

Pentagon's outgoing AI chief warns Congress on safety, accuracy risks of the emerging tech

Generative AI safety requires standardized input data and validated outputs

Quality data crucial for responsible generative LLM use [ more ]

Nextgov.com

DOD's AI strategy leans on high-quality data

High-quality data is crucial for DOD's AI efforts.

Partnerships with the private sector are essential for scaling AI technologies. [ more ]

MarTech

Building a future-ready marketing operations team | MarTech

The challenges for marketing ops in 2024 include data quality, organizational silos, and the integration of AI.

Marketers need to adapt to rapidly changing technology and consumer buying behaviors in order to generate MROI. [ more ]

LogRocket Blog

Leader Spotlight: Adopting the right mindset for AI, with Sapna Gulati - LogRocket Blog

AI is reshaping everyone's lives and bringing new opportunities with challenges.

Product leaders need to embrace AI with a strategic mindset while considering ethical considerations. [ more ]

Nextgov.com

How government organizations can get started with generative AI today

Generative AI has the potential to revolutionize operations and improve experiences in the public sector.

Roadblocks to AI adoption in government include concerns about trust, security, and the quality of data. [ more ]

Digiday

1 month ago

Marketing

Why Georgia-Pacific consolidated most retail media spending with seven networks after testing over 25 options

Marketers face challenges in choosing retail media networks amidst many options.

Georgia-Pacific consolidated 90% of its retail media spending with top networks like Amazon Advertising and Walmart Connect. [ more ]

MarTech

Marketing

How to keep your marketing automation campaigns from ruining your week | MarTech

Marketing automation saves time and expands capabilities, yet errors can occur if not managed properly.

Ensure proper personalization, review data fields, establish fallbacks, and continuously monitor campaigns for potential issues. [ more ]

Harvard Business Review

How Data Collaboration Platforms Can Help Companies Build Better AI

Data collaboration platforms can address data quality, bias, and privacy concerns

Off-the-shelf language models often underperform in unique organizational contexts [ more ]

TechCrunch

Startup companies

Anomalo's machine learning approach to data quality is growing like gangbusters | TechCrunch

Anomalo, a startup that focuses on data quality, has raised $33 million in a Series B funding round, bringing their total raised to $72 million.

The company's approach of monitoring and ensuring the quality of specific data sets, rather than everything, has helped them grow 15x since their Series A round. [ more ]

Iapp

Privacy professionals

Proposed data provenance standards aim to enhance trustworthiness of AI training data

Data quality is crucial for the success of AI models.

The Data and Trust Alliance has released proposed data provenance standards to ensure the trustworthiness of data that feeds AI systems. [ more ]

DevOps.com

4 months ago

Business intelligence

Data Observability and its Importance: Everything you Need to Know - DevOps.com

Data observability is a process that alerts organizations to the reliability and health of their data, helping them identify and resolve issues before they impact the entire organization.

Data observability has five pillars - recency, volume, distribution, schema, and lineage - that provide insights into the reliability and quality of data. [ more ]

DATAVERSITY

Business intelligence

Managing Missing Data in Analytics - DATAVERSITY

Today, corporate boards and executives understand the importance of data and analytics for improved business performance.

londonlovesbusiness.com

What are the best practices for combining human and AI decision-making in trading?

Develop a clear division of labor between AI and human traders.

Use machine learning algorithms for effective trading.

Avoid overreliance on AI and strike the right balance with human judgment. [ more ]

dzone.com