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

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. While useful, these tools offer diminishing value due to a lack of innovation or differentiation.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements.

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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. With Transformers, you can leverage popular NLP models, such as BERT, GPT-2, T5 or DistilBERT and use those models to manipulate text in one way or another.

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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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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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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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The new calling of CIOs: Be the moral arbiter of change

CIO

Artificial intelligence has moved from the research laboratory to the forefront of user interactions over the past two years. AI enables the democratization of innovation by allowing people across all business functions to apply technology in new ways and find creative solutions to intractable challenges.