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TechCrunch+ roundup: 7 VCs who are taking pitches, AI best practices, zero-based budgeting

TechCrunch

Best practices for leveraging artificial intelligence and machine learning in 2023 Zero-based budgeting: A proven framework for extending runway Image Credits: Getty Images It’s critical to make every dollar count in this environment, but pulling back too much in the wrong places can reduce momentum across your entire organization.

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13 power tips for Microsoft Power BI

CIO

With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. You can also use Power BI to prepare and manage high-quality data to use across the business in other tools, from low-code apps to machine learning.

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Digital KPIs: The secret to measuring transformational success

CIO

For example, McKinsey suggests five metrics for digital CEOs , including the financial return on digital investments, the percentage of leaders’ incentives linked to digital, and the percentage of the annual tech budget spent on bold digital initiatives. As a result, outcome-based metrics should be your guide.

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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

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The AI continuum

CIO

AI’s broad applicability and the popularity of LLMs like ChatGPT have IT leaders asking: Which AI innovations can deliver business value to our organization without devouring my entire technology budget? Don’t use generative AI for a problem that classical machine learning has already solved. Learn more. [1]

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AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

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Why CIOs should invest in digital through economic headwinds

CIO

But released the next day, the 2023 Gartner CIO and Technology Executive Survey revealed that EMEA-based CIOs expect IT budgets to increase 4.4% Artificial Intelligence, Digital Transformation, Innovation, Machine Learning on average over the next year, somewhat lower than the projected 6.5% global inflation rate.

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