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Exploring Medical Applications of Computer Vision in Healthcare

The Product Coalition

Doctors have employed software for years to analyze imaging data, diagnose patients, and recommend therapies. Computer vision systems can achieve up to 99% accuracy by training deep-learning AI models with vast amounts of visual data. from 2023 to 2030. Computer vision use cases in healthcare 1.

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Digital Sustainability: A Growing Frontier in Software Development

The Product Coalition

Data centers, a vital component of our digital ecosystem, consume about 2% of global electricity. Alarming projections suggest this could rise to 8% by 2030 and 14% by 2040, a substantial leap from just 1.5% As software builders, we are uniquely positioned to influence this environmental trajectory.

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Road to 2030 – Picturing the Future of Work

Modus Create

In 2015, they predicted that every business will become a digitally-enabled business. A world where unlimited data is as accessible as air. We will see ML processing units inside computers, the widespread use of predictive analytics, and an increased ability of AI to generate pre-decision. ” – Jay Garcia.

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Konduit AI: Exploring the Potential for AI in SE Asia

The Product Coalition

The models run on Konduit Serving, and business metrics are monitored through a custom dashboard. In warehousing you can use it to predict demand based on what’s currently in stock and also use computer vision to analyze movement in warehouses. Konduit Appliance is an AI platform service for deploying AI models to servers.

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5 Machine Learning Lessons for Product Managers

Mind the Product

According to Crunchbase, in 2018 there were 5,000 startups relying on machine learning for their main and ancillary applications, products, and services. By 2030, it is expected to contribute $15.7 To identify these issues , you would usually need to combine observation and data analysis. If so, ranking could help.

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The 7 Most Fascinating Tech Talks of Propelify Innovation Festival

Indicative

Deciding by Data. Becoming a data-driven company is about two things; technology and culture. That was the message of Indicative CEO Jeremy Levy’s session on “Deciding by Data,” which is also the theme of podcast he hosts. Levy first touched on the commoditization of data that’s made data access easier for every business.

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Wikimedia Foundation COO Janeen Uzzell on future-proofing history

Intercom, Inc.

If everyone in your team looks the same, has the same background, the same experiences, how do you expect to pick up on the biases in your work and create world-class services? Because my commitment has always been access and leveraging technology as a tool for access. Hiring is a process – it’s not enough to wish for diversity.