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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.

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How real-time operational insights drive superior tech platform development

CIO

So as organizations face evolving challenges and digitally transform, they offer advantages to make complex business operations more efficient, including flexibility and scalability, as well as advanced automation, collaborative communication, analytics, security, and compliance features. Cost overruns have been another significant concern.

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Unlocking generative AI’s greatest growth opportunities

CIO

Along the way, business leaders in every industry have been scrambling to develop their generative AI strategies, address potential risks, and figure out the best next action while trying to stay one step ahead of the competition. Where will the biggest transformation occur first? First, it is clear that generative AI will transform business.

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Want More Runway? Consider Your Infrastructure Costs

Crunchbase News

You probably don’t want to unnecessarily create a situation where a high-performing team takes a morale hit. Before you find product-market fit, your team is why your business is valuable and you want to keep everyone happy. It’s a win-win-win for your customers, your team and your investors.

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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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How to Launch a Successful Product: Timing, Roles, and Product Launch Checklist 

Altexsoft

Maybe a team didn’t prioritize the features and lost a lot of time and money fixing too many mistakes. Maybe a team didn’t prioritize the features and lost a lot of time and money fixing too many mistakes. Or a developer failed to test the app with real users to verify usage scenarios, hoping his idea will take off by itself.

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Expat CIOs: IT leaders broaden horizons with global experiences

CIO

The challenges of managing IT in a foreign land Adjusting to a new environment, motivating team members, and earning trust are challenges all expat CIOs confront. When Richard Ventre got an opportunity to move to India from the Netherlands, he latched on to it. “We