Content creation is worthy from the beginning; we all love to read original and thoughtful write-ups. With the advancement of Artificial Intelligence and how it is creating its reliance on us, we now generate content through Generative AI. After the Generative AI launch, our content gets validated and certified for human-created content against AI-created content. Saving Changes...
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Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
The key thing is to understand that Data Quality impacts AI, because AI needs data as an input to learn. Saving Changes...
Having AI based assertions and create new outputs based on AI-generated content is likely to lead to greater levels of "hallucinations". For the foreseeable future, useful AI outputs will be based on human-created or provided content so it does require attention to quality, bias and other considerations.
Senior Projects Manager | Field & Marten AssociatesNew Westminster, British Columbia, Canada
I agree with my fellow colleagues. For now, if you feed AI with quality data, you will get quality output. Saving Changes...
David GradyStrategic Portfolio & Project Analytics| Yale UniversityGlastonbury, Ct, United States
I predict a dramatic improvement in data quality over the next decade or so, as Generative AI becomes commonplace. That won't be by accident; it'll be an accommodation that project professionals make in order to use the tool effectively. It'll also be aided by the tool, as the tool itself will be leveraged to ensure and collect more meaningful data not only about quantitative output but also the more qualitative judgments being expressed about the quality, scope, and plan over time. Saving Changes...
It's impacting already. It's pretty interesting to have a V0 to start a project plan, for instance. Not as a propaganda, but as a humble suggestion, take a look at: https://www.sciencedirect.com/science/arti...666721523000224 Saving Changes...
Hiral BhattSr. Program Manager / FinTech Project / Program Management| Truist Bank, New York, USANew York, USA, USA
Yes for the question asked. It will impact the data quality in my opinion. Of course, reliable data will improve the quality of AI output. But, we must need data validation before using the results generated by AI tools. Saving Changes...
Markus KopkoAI Enabler for Project & Program Mgmt | Founder PMotion.ai / The PM
AI Coach| PMotion.aiHamburg, Hamburg, Germany
Dear Nadia,
The advent of Generative AI has ushered in a new era in content creation, bringing with it significant implications for the future of data quality. As we integrate these advanced technologies into our workflows, we must consider the potential benefits and challenges they present.
Enhanced Data Generation: Generative AI offers unprecedented capabilities in data augmentation, particularly valuable for machine learning model training. However, the quality of synthetic data produced is paramount, as it directly influences model accuracy and reliability.
Bias and Accuracy Concerns: A critical aspect of Generative AI is its susceptibility to inheriting biases present in its training data. If not adequately addressed, these biases can perpetuate inaccuracies and skew outcomes.
Automation in Data Validation: One of the significant benefits of Generative AI lies in automating data validation and cleaning processes. This automation can substantially reduce human errors and enhance overall data integrity.
Source Verification Challenges: Differentiating between human-generated and AI-generated content is becoming increasingly challenging. In fields where data authenticity is crucial, this poses a significant risk and necessitates stringent verification protocols.
Need for Standardization and Regulation: The proliferation of Generative AI in content creation calls for the development of new standards and regulatory measures. These should aim to uphold ethical AI practices and prevent misinformation.
Educational Imperatives: As professionals, we must stay informed about Generative AI's capabilities and limitations. Educating ourselves and our teams about these aspects is crucial for responsibly leveraging this technology.
In summary, while Generative AI is a powerful tool with numerous advantages, it is vital to approach its integration with a balanced perspective, focusing on maintaining high data quality standards. I welcome further insights and discussion on this evolving and critical topic in our field.
Community Champion
