Large bad data.  Obviously not good and some have recognized this as “model collapse” – the bad data causes more bad data to be generated.  Small bad data – nothing needs to be said here.  Small (vetted, provenance-known) data – perhaps within your enterprise walls – perhaps the way to go, until large, good data that is used for training appears.  When will this happen?  I do not think this is on the horizon.

Large bad data. Obviously not good and some have recognized this as “model collapse” – the bad data causes more bad data to be generated. Small bad data – nothing needs to be said here. Small (vetted, provenance-known) data – perhaps within your enterprise walls – perhaps the way to go, until large, good data that is used for training appears. When will this happen? I do not think this is on the horizon.

Large bad data.&nbsp; Obviously not good and some have recognized this as “model collapse” – the bad data causes more bad data to be generated.&nbsp; Small bad data – nothing needs to be said here.&nbsp; Small (vetted, provenance-known) data – perhaps within your enterprise walls – perhaps the way to go, until large, good data that is used for training appears.&nbsp; When will this happen?&nbsp; I do not think this is on the horizon.

Large data sources with bad data.  Smaller data sources with good data.  Which is better?

R.E.A.L. - Realistic, Enabling, Actionable, Logical. Every day we hear jargon and see writing from so-called “experts,” and we don’t know what we should follow and what we should avoid. Published practices aren’t always best practices! Listen to episodes from Sam Holcman’s radio show, webinars, and podcasts, Real Talk with Sam Holcman. Each episode gets to the bottom of what business executives, managers, practitioners, and staff actually need to create innovative solutions that deliver- no utopia required. This business podcast provides practice-based insights into business transformation, enterprise architecture, business architecture, organizational transformation, and technology transformation based on real-world practices. We provide you with insights that can provide true value to organizations and individuals that face today’s and tomorrow’s competitive pressures and provide a usable takeaway from each program.

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R.E.A.L. - Realistic, Enabling, Actionable, Logical. Every day we hear jargon and see writing from so-called “experts,” and we don’t know what we should follow and what we should avoid. Published practices aren’t always best practices!Listen to episodes from Sam Holcman’s radio show, webinars, and podcasts, Real Talk with Sam Holcman. Each episode gets to the bottom of what business executives, managers, practitioners, and staff actually need to create innovative solutions that deliver- no utopia required. This business podcast provides practice-based insights into business transformation, enterprise architecture, business architecture, organizational transformation, and technology transformation based on real-world practices. We provide you with insights that can provide true value to organizations and individuals that face today’s and tomorrow’s competitive pressures and provide a usable takeaway from each program.

R.E.A.L. - Realistic, Enabling, Actionable, Logical. Every day we hear jargon and see writing from so-called “experts,” and we don’t know what we should follow and what we should avoid. Published practices aren’t always best practices! Listen to episodes from Sam Holcman’s radio show, webinars, and podcasts, Real Talk with Sam Holcman. Each episode gets to the bottom of what business executives, managers, practitioners, and staff actually need to create innovative solutions that deliver- no utopia required. This business podcast provides practice-based insights into business transformation, enterprise architecture, business architecture, organizational transformation, and technology transformation based on real-world practices. We provide you with insights that can provide true value to organizations and individuals that face today’s and tomorrow’s competitive pressures and provide a usable takeaway from each program.

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Large data sources with bad data. Smaller data sources with good data. Which is better?

Large data sources with bad data. Smaller data sources with good data. Which is better?

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