Bridging

Bridging the Digital Divide: The Role of AI-Powered, Platform-Centric Strategies in Crafting Future-Ready Enterprises

Because the shift towards a mix of traditional and distant work models becomes more pronounced, and consumer expectations exceed the capacities of legacy systems, executives are in pursuit of adaptable digital infrastructures able to...

Bridging the Gap Between AI and Neuromorphic Computing

Within the rapidly evolving landscape of artificial intelligence, the search for hardware that may keep pace with the burgeoning computational demands is relentless. A major breakthrough on this quest has been achieved through a...

Bridging the expectation-reality gap in machine learning

There isn't a quick-fix to closing this expectation-reality gap, but step one is to foster honest dialogue between teams. Then, business leaders can begin to democratize ML across the organization. Democratization means each...

Bridging Large Language Models and Business: LLMops

The underpinnings of LLMs like OpenAI's GPT-3 or its successor GPT-4 lie in deep learning, a subset of AI, which leverages neural networks with three or more layers. These models are trained on vast...

Bridging the Language Gap: A Push for AI Tools for African Languages

In today's tech-driven age, artificial intelligence (AI) has given rise to tools like ChatGPT for textual communications and voice-activated services like Siri, augmenting human capabilities. Nonetheless, these AI marvels are primarily designed for dominant...

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