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How today’s enterprise architect juggles strategy, tech and innovation

CIO

In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns. These include everything from technical design to ecosystem management and navigating emerging technology trends like AI.

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Hugging Face reaches $2 billion valuation to build the GitHub of machine learning

TechCrunch

That consumer bet hasn’t paid off, but the company kept iterating on its natural language processing technology. Due to the success of this libary, Hugging Face quickly became the main repository for all things related to machine learning models — not just natural language processing.

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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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Are you ready for MLOps? 🫵

Xebia

Read along to learn more! Being ready means understanding why you need that technology and what it is. The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. About being ready So, what does it mean to be ready ?

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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

Though DevOps is a relatively new role, it’s one that allows visibility across the whole operation, making it important to senior tech positions. With new AI and ML algorithms spanning development, code reviews, unit testing, test authoring, and AIOps, teams can boost their productivity and deliver better software faster.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

While useful, these tools offer diminishing value due to a lack of innovation or differentiation. Finally, chatbots are often inappropriate user interfaces due to a lack of knowledge about better alternatives for solving certain problems. This makes their wide range of capabilities usable. An LLM can do that too.

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In the race for tech talent, the US should look to Mexico

TechCrunch

A professor at Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM), he's partnered with Microsoft, IBM and Google to deliver digital transformation and cognitive technology services. Chatbots spotlight machine learning’s trillion-dollar potential. Demand increasing for Mexican tech talent.