CIO
JULY 5, 2024
Cairn Oil & Gas is on a mission to transform its value chain. Gupta says the model can detect more than 20 different safety violations, a number that will increase as the algorithm matures. So that entire learning process of an AI algorithm has to have multiple rounds before these required accuracy comes in,” he says.
CIO
JUNE 28, 2023
These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As To address the challenges, the company has leveraged a combination of computer vision, neural networks, NLP, and fuzzy logic.
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CIO
JUNE 6, 2023
All this has a tremendous impact on the digital value chain and the semiconductor hardware market that cannot be overlooked. An increased demand for high-performance computing for cloud data centers AI workloads require specialized processors that can handle complex algorithms and large amounts of data.
CIO
AUGUST 25, 2023
Internally, start by looking at your value chain or the capabilities that deliver your value proposition. Since the AI landscape is both large and complex, take a two-pronged approach: analyze internally and marry that analysis to marketplace activity. And there’s plenty of evidence to support Davis’s point.
CIO
AUGUST 21, 2024
We continuously feed network and customer equipment stats into our algorithms, allowing them to adapt to changing conditions and identify anomalies,” he says. More recently, Hughes has begun building software to automate application deployment to the Google Cloud Platform and create CI/CD pipelines, while generating code using agents. “Our
Evalueserve
JULY 14, 2021
In the last few years, the education industry and traditional value chain have undergone a significant transformation, right from K-12 to higher education and executive education levels. Lack of End-to-end GTM strategy – Many EdTech companies lack a strategic plan and prioritization framework for delivering value to customers.
Alpha Sense BI
SEPTEMBER 19, 2024
This shift extends beyond increased demand and is reshaping the global technology ecosystem, influencing everything from supply chains to infrastructure and innovation across sectors. AI algorithms, simulations, and predictive models allow engineers to test and validate new chip architecture at a scale and speed previously unattainable.
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