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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. A striking example of this can already be seen in tools such as Adobe Photoshop.

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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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The Importance of Assessing Interpersonal Skills in Recruitment

Hacker Earth Developers Blog

In the competitive world of hiring, particularly in tech, recruitment is no longer just about finding candidates with the right technical expertise. For tech teams tasked with solving complex problems, interpersonal skills ensure smoother collaboration, innovation, and productivity. Why interpersonal skills matter in tech hiring ?

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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.

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Unlocking the full potential of enterprise AI

CIO

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] AI in action The benefits of this approach are clear to see.

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The future of data: A 5-pillar approach to modern data management

CIO

Digital transformation started creating a digital presence of everything we do in our lives, and artificial intelligence (AI) and machine learning (ML) advancements in the past decade dramatically altered the data landscape. The choice of vendors should align with the broader cloud or on-premises strategy.

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