how-it-works data-quality 
CIO
APRIL 16, 2024
Let’s take a look at how this could unfold over the next few years. Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data. The implementation of digital transformation has been underway, but moving slowly for over a decade.
CIO
APRIL 25, 2024
Few companies operate at the scale that LinkedIn does or have access to similar troves of data. So, among LinkedIn’s first lessons was the importance of tuning LLMs to audience expectations — and helping the LLMs understand how to be perhaps not human, but at least humane with its responses. Not enough dots were being connected.”
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CIO
APRIL 1, 2024
The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. But how do you get there? Cleanse your data. GenAI requires high-quality data.
CIO
FEBRUARY 13, 2024
Every leader and every team should use rate of change to determine how quickly they can turn around a particular change, Avila recommends. Businesses should work hand in hand with their IT department to pivot quickly in order to maximize success,” he concludes. Metrics provide a means to monitor progress.” Here they are.
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Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.
CIO
MARCH 13, 2024
But what’s most interesting, says group CIO Graham O’Sullivan, is it’s also a mutual, which means its over two million customers across the UK are also members, so they have a strong voice in how it operates as an organization. We know in financial services and in a lot of verticals, we have a whole slew of data quality challenges,” he says.
CIO
FEBRUARY 8, 2024
AI is like the discovery of fire—it’s a great tool if you know how to use it, but if you don’t use it responsibly (or use a model built responsibly), it will burn you. AIs are more than the base knowledge or underlying “data” layer of the LLM or its “experience” layer.
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