Technology Optimization advises CIOs seeking to invest in innovation and strategic advantage while optimizing the cost of providing ongoing support.
New economic realities and shrinking IT budgets necessitate that IT organizations become better at justifying new projects, more efficient in delivering IT services, and smarter at adopting new technologies that can deliver business value while reducing costs.
Organizations must work together to optimize the cost reduction that funds innovation, and learn how to balance the needs of business with the responsibilities of IT. Is your organization ready for the shift to innovation? Have you developed a strategy to fund innovation with optimization?
The journey for Rivian’s integrated vehicle stack includes a hefty dose of artificial intelligence (AI), machine learning (ML), and cloud computing. Here's a look at Rivian's strategy, AWS and Databricks tech stack and what you can learn from it.
AMD CEO Lisa Su said company saw record data center revenue in the second quarter. The company also raised its third quarter revenue outlook.
The spending on generative AI infrastructure is accelerating at a breakneck pace, but it's quite possible that the "build it and they will come" approach may lead to overcapacity or some serious indigestion.
As for the outlook, IBM projected annual revenue growth in the mid-single digit range with free cash flow topping $12 billion.
ServiceNow reported better-than-expected second quarter earnings and announced that president and chief product officer CJ Desai will leave the company after an internal investigation.
Meta released Llama 3.1 405B, an open "frontier-level model" that aims performs as well as proprietary models. For Meta CEO Mark Zuckerberg, the Llama cadence is designed to play the long game and bet open-source models ultimately win.
IonQ outlined it roadmap for its quantum computing stack as well as various use cases as it aims to create enterprise grade infrastructure that could offload GPU workloads if successful.
Enterprises are beginning to leverage AI and widen their profit moats just as some companies are seeing customers wobble. The efficiency gains are beginning to highlight how digital transformation and AI strategies are becoming self-funding, keeping expenses below the rate of inflation and optimizing processes.
TSMC’s second quarter earnings were better-than-expected and the chip manufacturer is becoming a barometer for generative AI infrastructure demand. High-performance computing (HPC) is now more than half of TSMC's revenue.
