Intelligent CIO APAC Issue 32 | Page 38


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With AI at the Edge , businesses can leverage fast access to data-driven intelligence to respond to business requirements in real time .
will smoothly unlock real-time patient monitoring and diagnoses in healthcare , efficient traffic management systems in Smart Cities and predictive maintenance on the manufacturing line .
( MEC ) means that requests are processed within the Smart City rather than traveling to some far-away data center , meaning that queries can be answered within milliseconds .
In Barcelona , a pilot project shows the power of Edge Computing , with 3,000 Lenovo servers across the city enabling Internet-of-Things devices and cameras to deliver data where needed . In the future , Edge Computing could even help cities hit pollution targets by controlling traffic lights , so cars drive more fuel-efficiently .
Supercomputing will save lives worldwide
Lenovo ’ s ThinkEdge SE450 is already minimizing business complexities , enhancing compute power in remote locations while tackling security challenges and generating accurate insights faster . Shortly , AI-enabled Edge servers may analyze multiple video feeds from cameras in the aisles of shops to watch for large quantities of items being removed at the same time and monitor deliveries to help stores manage their inventory better and rapidly adjust to supply and demand , improving profit margins and ensuring customers get what they paid for .
Multi-access Edge Computing ( MEC ) will power Smart Cities
In the future , intelligent cameras will manage traffic in ‘ smart ’ cities , cutting pollution , congestion , and road accidents – and edge servers will enable everything from holographic teaching to Augmented Reality shopping . Multi-access Edge Computing
The growing volume of data worldwide has kept researchers busy scouring extensive datasets . In today ’ s quickly moving world , time is of the essence , even a matter of life and death . Faster research outcomes in healthcare can amount to that bit of difference between life and death for patients worldwide .
Thereby increasing the demand for high computational power to process data faster . HPC is increasingly becoming popular , and a preferred choice of researchers and scientists helps improve and accelerate disease diagnosis and even helps identify the best care pathways . For example , Machine Learning systems enabled by HPC can be trained to identify anomalies within images , such as patient scans , through comparisons with broader datasets .
At Lenovo , we are already providing research organizations in healthcare and civil services flexibility , reliability and performance to meet the ever-growing workload requirements and intelligently drive innovation . Our TruScale High-Performance Computing as a Service ( HPCaaS ) is delivering the power of supercomputing to organizations of all sizes through a cloud-like experience .
The Indian Institute of Technology – Jodhpur ( IIT-J ), one of the country ’ s premier technology institutes , selected Lenovo ’ s new HPC platform , which is based on our ThinkSystem SR645 and SR665 servers , to build a future-ready HPC platform to meet the long-term requirements of their researchers and accelerate their research outcomes .
The ever-changing technological environment has made it imperative for businesses to be ready to adopt new and emerging technologies to stay ahead of the curve and secure a competitive edge in the market . At Lenovo , we strive to develop innovative solutions that can empower businesses to keep up with the pace of constantly emerging trends . p
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