Articles by tag: AI for writing
ChatGPT and other robust generative AI writing solutions already impact every business. One industry pushed back and got a temporary pause on its use. As more industries face similar dilemmas, the technology continues to improve. So, who gets the final say in how best to integrate AI solutions? Societies will have to play decision-maker. […]
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Heterogeneous Computing and Open Ecosystems Empower Developers to Focus on Innovation
The tech landscape is rapidly evolving, with the importance of heterogeneous computing coming to the forefront. This concept and the push for an open ecosystem are revolutionizing how developers approach AI compute. The news highlights the shift towards allowing developers to focus on use cases without aligning solutions with the underlying hardware, a […]
On-Prem or Cloud? Either Way, Data Center Compute Demands Necessitate the Need for AI Accelerators
With the increasing demand for powerful data center compute capabilities, data centers are at the forefront of driving the need, development, and purchase of AI accelerators. This surge is influenced by the expanding role of AI in business operations, creating a critical demand for advanced hardware solutions. How are data centers shaping the […]
Tech-Driven Synchronization Post-COVID Fuels Innovation in Domestic Supply Chain
Post-COVID, the domestic supply chain landscape received unprecedented alignment and coordination, primarily through tech-driven synchronization of technological advancements. This trend addresses the critical need for rapid adjustment capabilities among logistics partners and government entities, as highlighted by recent events like the Baltimore Bridge collapse. How is technology enabling this newfound tech-driven synchronization and […]
Strategic Investments In AI Accelerators Ensure Ongoing Competitiveness in the Generative AI Era
Investments in AI accelerators are a critical component in the race to harness the power of generative AI. As businesses increasingly adopt generative AI, there’s a significant “catch-up” phase in developing purpose-built AI computing accelerator hardware. This surge in demand has led to confusion and challenges within the AI computing landscape. Industries must […]