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What is cloud cost optimization?

IBM Big Data Hub

Moving data and applications from traditional on-premises data centers to cloud infrastructure offers companies the potential for significant cost savings through accelerating innovation, keeping a competitive edge and better interacting with customers and employees. Why do you need cloud cost optimization?

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eCommerce Brands Use Data Analytics for Conversion Rate Optimization

Smart Data Collective

One benefit is that they can help with conversion rate optimization. Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. One report found that global e-commerce brands spent over $16.7 billion on analytics last year.

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Optimizing energy production with the latest smart grid technologies

IBM Big Data Hub

A smart grid is a digital electricity network that supplies power to consumers using interactive two-way communication, enabling automated, advanced energy delivery and a litany of opportunities for consumers to control their electricity use and costs. And real-time grid monitoring is vital for optimizing smart grid technology.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. The ability to seize these advantages is one way that pharmaceutical companies may be able to gain sizable competitive edge.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Uncover how an interactive web application can be built on top of your model.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. This isn’t just valuable for the customer – it allows logistics companies to see patterns at play that can be used to optimize their delivery strategies.

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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system. They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions.

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