Remove 2023 Remove Big Data Remove Forecasting Remove Internet of Things
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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

The challenges continue: one 2023 survey found 44% of companies had to make changes in the past year due to issues with their supply chain footprint, and 49% said supply chain disruptions had caused planning problems. Automation Automation can streamline supply chain operations, from order fulfillment to inventory tracking.

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Updated Outlook of the AI Software Development Career Landscape

Smart Data Collective

In this article, we take a look at what the AI software development landscape looks like in 2023. Take the Internet of Things as an example. Will this technology disrupt all of those exciting career forecasts we discussed in the above headlines? We also touch on what it takes to get a job in this exciting field.

Software 101
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The future of 5G: What to expect from this transformational technology

IBM Big Data Hub

The number of networks also continues to grow, with many popular Internet Service Providers (ISPs) like Verizon, Google and AT&T, offering 5G connectivity in both homes and businesses. But what does the future hold in store? How much of that is true and how much is just hype?

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5G advantages and disadvantages: What business leaders need to know

IBM Big Data Hub

In the four years since it burst onto the market, 5G has been widely touted as a disruptive technology, capable of transformation on a similar scale to artificial intelligence (AI) , the Internet of Things (IoT) and machine learning (ML).

IoT 105
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Leading innovation in digital infrastructure for a digital and sustainable APAC

CIO Business Intelligence

Oxford Economics, a leader in global forecasting and quantitative analysis, teamed up with Huawei to develop a new approach to measuring the impact of digital technology on economic performance. That’s a big difference. The digital economy has become a key force for economic growth and social development.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

You simply choose the data source you want to analyze and the column/variable (for instance, revenue) that the algorithm should focus on. Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis.