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Calm’s Will Larson on how to build a technical leadership career

Intercom, Inc.

As it turns out, he’s also quite the writer – since the last time we spoke , he has published not one but two books on engineering. After writing An Elegant Puzzle about the challenges of engineering management in high-growth organizations, his focus shifted to a career path that’s much less understood – the technical leadership track.

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How to Become a Machine Learning Product Manager With Experience

The Product HQ

As artificial intelligence technologies continue to evolve and become more mainstream, so too does the demand for machine learning product managers grow among startups and Fortune 500 companies alike. Machine learning product managers play a major role in the advancement of machine learning technology. Keep on reading then.

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Ten UX/UI Design Challenges That Can Compromise Financial Apps

The Product Coalition

With the worldwide revenue from the financial technology sector to double by 2024 , fierce competition evolves. Fintech software represents specific challenges due to diverse dynamic content, graphs, tables, and more. Companies already use this tech novelty for authentication and expediting transactions.

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Top 10 Japanese Tech Companies

freshtrax

According to an article by Tech :: Note , the Japanese tech industry has grown as a whole with continual increases in the total revenue of the industry, from 14,380 billion yen (approx. Top 10 Japanese tech companies by capital value (November 2018). Top 10 Japanese tech companies by sales (2015-2016). Net One Systems Co.,

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How to Become an AI Product Manager Without Experience

The Product HQ

Today, more and more businesses are looking for product managers specializing in artificial intelligence and machine learning technologies. AI product managers share several responsibilities and functions with technical product managers. This is a plus when coordinating with the technical team.

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Using Generative AI to Drive Corporate Impact

TechEmpower - Product Management

Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact. In the sphere of software engineering , AI is pivotal for corporate IT by automating coding, optimizing algorithms, and enhancing security to boost efficiency and minimize downtime.

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Emotion AI: How Far Can It Go?

The Product Coalition

But what if the technology that hinders our communication at times could actually enhance it? Following the identification of emotional-impacting features, the process of engineering features occurs. MIT Media Lab has created a wearable olfactory display as another example of AI-powered mental health technology.