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There’s a big push to implement AI everywhere, hoping for better productivity and faster decisions. To get the best out of any AI, it helps to start with good quality data.
So what are we doing to measure our error rates and data quality?
In this workshop, Caroline gave participants the opportunity to compare thoughts on error rates, including trying a new six-aspect framework for errors.
Data quality isn’t static. The session also considered how data might deteriorate over time or in other ways, with a chance to share ideas about people are measuring that, too.
The session ended with “tips and next steps”: an opportunity to consider what what participants now need to find out or do differently.
Participant takeaways:
What do we think good data quality is? How are we currently defining it?
How are we measuring error rates and data quality at the moment?
How much do we know about the consequences of errors in our data?
What ways of measuring error rates and data quality are practical and where can we make improvements? Exploratory Experiences Built by Design (UXPA25)
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- Learning about different roles and technologies through industry research.
- Contributing to open source projects to build experience and network.
- Developing a personal brand through a website and social media presence.
- Networking through events, communities, and finding a mentor.
- Practicing interviews through mock interviews and whiteboarding coding questions.Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentLily Ray
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1. Core updates from Google periodically change how its algorithms assess and rank websites and pages. This can impact rankings through shifts in user intent, site quality issues being caught up to, world events influencing queries, and overhauls to search like the E-A-T framework.
2. There are many possible user intents beyond just transactional, navigational and informational. Identifying intent shifts is important during core updates. Sites may need to optimize for new intents through different content types and sections.
3. Responding effectively to core updates requires analyzing "before and after" data to understand changes, identifying new intents or page types, and ensuring content matches appropriate intents across video, images, knowledge graphs and more.How to have difficult conversations
How to have difficult conversations Rajiv Jayarajah, MAppComm, ACC
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The document provides essential tips on how to handle difficult conversations in a workplace setting, emphasizing the importance of preparation, environment, and timing. It highlights that many employees dread such conversations, often leading to avoidance and worsening situations. Ultimately, the guide aims to promote positive outcomes while maintaining professional relationships.Artificial Intelligence, Data and Competition – SCHREPEL – June 2024 OECD dis...
Artificial Intelligence, Data and Competition – SCHREPEL – June 2024 OECD dis...OECD Directorate for Financial and Enterprise Affairs
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