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Optimizing the Energy Sector with Data Analytics

Cloudera

In addition, using data well can allow better decisions to be made, such as the possibility of bypassing the day-ahead market and going directly to the intraday market and having a better return per watt generated. . Organizations working in traditional energy generation will have to adjust costs by improving the efficiency of these plants.

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UK Power Networks gets smart about cloud transformation

CIO Business Intelligence

For some organizations, shifting to the cloud has been a relatively quick race toward highly publicized benefits, such as scalability. Following the merger, the energy company began its digital transformation by unifying the three networks under one ERP system, SAP, with plans to eventually evolve to SAP’s S/4HANA SaaS-based model.

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Azure Cloud Is Transforming the Way We Run Our Businesses in 2021

Smart Data Collective

Although there are many benefits of moving to the cloud , this decision is not without its risks. Reduced Costs and Downtime. For instance, Azure Digital Twins allows companies to create digital models of environments. These digital presentations are built from real-time data either in pure form or 3D representations.

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4 paths to sustainable AI

CIO Business Intelligence

Everything from geothermal data centers to more efficient graphic processing units (GPUs) can help. But AI users must also get over the urge to use the biggest, baddest AI models to solve every problem if they truly want to fight climate change. Is it necessary for a model that can also write a sonnet to write code for us?”

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Training a Champion: Building Deep Neural Nets for Big Data Analytics

Sisense

In addition, since Hunch’s DNNs are typically on the Mb scale, they can be easily deployed and distributed to thousands of users or IOT devices, putting incredibly fast Big Data analytics almost anywhere. The power of the Hunch system lies in the DNN training process, which ultimately yields the query approximation model.

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Unlocking value: Top digital transformation trends

IBM Big Data Hub

Companies are rethinking their business models to become more digital and competitive. A recent study found that McKinsey research shows that organizations that “launched some flavor of digital transformation,” have only experienced a third of the expected revenue benefits on average.

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Ways Businesses Can Boost Logistics Performance with Analytics

Smart Data Collective

Smart companies realize that analytics technology needs to be at the core of their business models. One of the most important ways that analytics can help companies thrive is by improving their logistics. Analytics Technology Helps Companies Bolster their Logistics Strategies. It is also a case of business survival”.

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