Today’s topics are probabilistic adaptability, dat centres, generative AI, AI in software engineering at Google, CFOs and IT, manufacturing, digital twins and legacy tech.
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Will ‘AI Factory’ replace ‘Software Factory’ as predicted by Nvidia CEO Jensen Huang?
Why AI needs a new era of probabilistic adaptability?
Datacenter Trends In 2024
https://techgraph.co/opinions/datacenter-trends-in-2024/
Liquid cooling, architecture, AI, sustainability and hybrid cloud.
‘AI, ML and IoT are fuelling data centre demand’
With the proliferation of IoT devices, vast amounts of data are generated, necessitating robust infrastructure for storage and processing. AI and ML algorithms further drive this demand by requiring massive computational power for analysis and insights. Data centres serve as the cornerstone, facilitating efficient management and utilisation of this data deluge
Managing the risks around generative AI
The transformational technology will require every member of an organization to be a risk professional.
AI in software engineering at Google: Progress and the path ahead
https://research.google/blog/ai-in-software-engineering-at-google-progress-and-the-path-ahead/
Progress of AI-based assistance for software engineering in Google’s internal tooling and our projections for the future.
How CFOs Turn IT Decisions Into Business Growth Opportunities
Over the last few years, the CFO’s responsibilities have shifted dramatically – from being primarily a finance and compliance expert to also serving as a risk and stakeholder manager and a strategic organizational decision-maker.
How AI can transform a burdensome and complex manufacturing environment
As manufacturers adopt AI, they can expect enhanced efficiency and output and the ability to make more informed decisions and adapt swiftly to market changes.
How Digital Twins and Real Time Data Accelerates Time to Value
https://www.rtinsights.com/how-digital-twins-and-real-time-data-accelerates-time-to-value/
Imagine a product development process that is agile rather than bogged down by inefficiencies. A process where design iterations happen seamlessly, operational adjustments are made in real time, and products reach the market faster without compromising quality.
Enterprises just can’t seem to shake legacy tech – and it’s seriously hampering digital transformation goals
Outdated legacy tech is interfering with organizational progress and innovation, according to new research
