Remove Examples Remove Metrics Remove Off-The-Shelf
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When is data too clean to be useful for enterprise AI?

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211
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What to expect from AI in the enterprise in 2025

CIO

This year saw the initial hype and excitement over AI settle down with more realistic expectations taking hold. This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected.

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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., There is also a trade off in balancing a model’s interpretability and its performance.

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NeuraLight aims to track ALS, Parkinson’s and more with an ordinary webcam

TechCrunch

This confidence crisis in the data needs an objective metric to be mitigated, and that’s what NeuraLight, based in Austin and Tel Aviv, is building. This, along with other eye movements and metrics, has been linked to neurological disorders for years in numerous publications. ” Image Credits: NeuraLight.

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Valence raises $25M to track team performance with continuous reviews

TechCrunch

Valence lets managers track team performance by certain metrics and, if they deem it necessary, intervene with “guided conversations.” Valence , a growing teamwork platform, today announced that it raised $25 million in a Series A round led by Insight Partners. What constitutes a “teamwork platform,” exactly?

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Need a security road map? Ditch the ad hoc measurement

CIO

It must adapt to the organization and its size, potential losses, acceptable risk levels, regulatory requirements, nature of the business, the specific IT landscape, level of in-house development versus off-the-shelf solutions, and more. Most security programs are based on a standard framework such as the U.S.

Metrics 167
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Low code/no code tools reap IT benefits—with caveats

CIO

Here are some examples of how IT pros are using low code/no code tools to deliver benefits beyond just reducing the workload on professional developers. A September 2021 Gartner report predicted that by 2025, 70% of new applications developed by enterprises will use low-code or no-code technologies, up from less than 25% in 2020.