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Tag: Roundtable

The first DataIQ sector-specific roundtable gathered data leaders to dissect the interplay of data governance, AI, and sector-specific challenges for energy firms.
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Making Data Work for the Energy Sector

Data governance in the energy sector remains a stubborn problem despite heavy investment. While data governance is seen as a prerequisite for AI initiatives, using AI to enhance data governance is still largely aspirational. 
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AI governance as a strategic advantage: Regulation, trust and competitive edge
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AI governance as a strategic advantage: Regulation, trust and competitive edge

Demands for AI governance are growing, provoking concern among data and AI leaders that it will stifle their ability to create value. However, others see it as compelling opportunity for trust-building and innovation.
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AI adoption and change preparation
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AI adoption and change preparation

AI adoption and change cannot happen overnight, so how are the DataIQ community preparing for this new era of data? WNS Analytics provides some answers.
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dbt Labs: Governance in an era of democratisation and self-service
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dbt Labs: Governance in an era of democratisation and self-service

As businesses begin to embrace better data democratisation and self-service, the focus on governance should be further enhanced.
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Data leaders set the industry agenda at the 2024 DataIQ 100 Discussion and Summer Lunch
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Data leaders set the industry agenda at the 2024 DataIQ 100 Discussion and Summer Lunch

The best minds in data and analytics came together at the DataIQ 100 Discussion and Summer Lunch to debate the hot industry topics and celebrate excellence.
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How to start and embed a successful data academy: lessons from the DataIQ community
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How to start and embed a successful data academy: lessons from the DataIQ community

DataIQ members discussed what is needed to begin an in-house data academy to upskill team members and develop a sustainable talent pipeline.
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A woman checking inventory in a warehouse.
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How to persuade data owners to be data stewards

It is one thing to own data sets, but another entirely to be responsible for its use and upkeep – so how can data leaders encourage team members to become data stewards?
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Two people working on machine learning tools.
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How do we successfully implement machine learning ops within our data tech stack?

Machine learning is rapidly becoming an essential part of data tech capabilities, but there is still a level of risk involved and no definitive set of rules for introducing these new operations.
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DataIQ Member’s Briefing – Leadership and vision: Is your vision for data just a better BAU?
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DataIQ Member’s Briefing – Leadership and vision: Is your vision for data just a better BAU?

DataIQ members came together to discuss whether business as usual – if it truly exists – is improved by a concrete data vision.
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DataIQ Member’s Briefing – What does great data literacy look like?
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DataIQ Member’s Briefing – What does great data literacy look like?

Data literacy definitions vary between organisations, but the results and goals are similar for everyone. DataIQ members debated what great data literacy should look like and why.
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