Remove How To Remove Off-The-Shelf Remove Weak Development Team
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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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AI as a service to solve your business problems? Guess again

TechCrunch

Industries of all types are embracing off-the-shelf AI solutions. In the words of Sepp Hochreiter (inventor of LSTM , one of the world’s most famous and successful AI algorithms), “the ideal combination for the best time to market and lowest risk for your AI projects is to slowly build a team and use external proven experts as well.

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5 ways to improve mental health for software developers

TechCrunch

Lorna Mitchell is head of Developer Relations at Aiven , a software company that combines the best open source technologies with cloud infrastructure. With World Mental Health Day just behind us, I thought about how the tech industry can be a difficult place to stay mentally well. Lorna Mitchell. Contributor. Share on Twitter.

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How to build a successful agile development culture – and why your business needs one

CIO

To keep pace with the growing complexity of software development, organizations have spent years working to implement agile practices into their developer experience. It enables teams to deliver value faster, with greater quality and predictability, and greater aptitude to respond to change.

Agile 148
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Accenture forges own path to improve attack surface management

CIO

As a global consulting and technology company, Accenture understands how quickly an attack surface can grow and become vulnerable to cyber threats. We’ve always had a strong security posture, but as we’ve been growing, we noticed that we had weaknesses in our defenses,” says Kristian Burkhardt, Accenture CISO.

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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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