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How Big Data And AI Are Aiding The Fight Against Pandemics

Acuvate

What offers solace though is the fact that we are now in possession of powerful data analytics tools and AI technology that helps us surveil an outbreak, predict its spread and in turn minimise its impact. This raw data is then analyzed with machine learning algorithms to identify patterns and trends.

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Recognizing the Building Blocks of Innovation

Paul Hobcraft

I think of the Gartner Hype Cycle here as we have gone through each of the stages of recognition of the application and the learning from this; we have the innovation triggers first, then a peak or inflated expectations, followed by troughs of disillusionment and finally by the slope of enlightenment, to give a new plateau of productivity.

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6 Remarkable Applications of AI in the Oil & Gas Industry

Acuvate

Consequently, like every other sector, O&G is exploring the vast potential of Artificial Intelligence (AI) applications to increase productivity, boost security, enhance equipment availability, maintenance, and uptime, and enable sustainable operations. This data repository is analyzed by AI algorithms in real time.

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The future interplays between design thinking, technology and AI

Paul Hobcraft

This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.

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Data-Driven Approaches Helping Public Sector with Sustainable Water Management

Acuvate

Industrial IIoT, in particular, in the form of sensors, flow meters, and edge devices, are being used to collect on-field data to create situational awareness and identify leaks, sewer overflows, and faulty equipment before these require costly repairs. How are sustainable technological solutions enabling Smart Water Management (SWM)?

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The What, Why and How of Trade Promotion Forecasting

Acuvate

Some of the other constraints faced while using spreadsheets for trade promotion planning and forecasting, include – lack of complete visibility, flexibility and difficulty in analyzing data, among others. . Machine learning offers the added boost to enhance the accuracy of forecasting. 3) Big Data Integration.

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. If you are an organization set out to embrace data analytics, here’s a list of the top 5 myths you need to be aware of. Myth 1: Only large companies with big data need data analytics.

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