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How to Use Big Data For Improving Driver Safety

Acuvate

The WHO has undertaken a mighty initiative to halve the number of deaths and injuries from road traffic crashes by 2020. This goal seems achievable with massive advancements in automotive technology and big data. Big data and Telematics synergistically play an important role in creating a safe driving environment.

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Industry 4.0: How to guide organizational change

mjvinnovation

refers to the phenomenon of adopting innovative tools, resources and technological services to optimize the management of the most varied industrial aspects. Starting from 2020, many of the main industrialized nations will have adapted the mass market to Industry 4.0 Industry 4.0: Automating your business is the only way out.

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10 Technology Driven Hard Trends Shaping 2016

Daniel Burrus

It has been widely reported that we should expect more than seven billion people and businesses, and at least 30 billion devices, will be connected to the Internet by 2020, so it should be of no surprise that this tech-driven economy is here to stay. Cognitive Computing Will Increasingly be Used To Extract Value From Big Data.

Trends 40
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How China Creates the Strongest Innovation System

The BMI Lab Blog

Right now, as part of the current five years plan (ending in 2020), China is focusing on: Aviation and aerospace. Rail transportation. The goal is very clear: the share of the global GDP for all those industries should increase to 15% in 2020. Agriculture. Electrical power. New-energy automotive. High-end robotics.

System 58
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Digital Transformation Use Cases in the Oil and Gas Industry

Acuvate

According to the EY Oil and Gas Digital Transformation and the Workforce Survey 2020 , 58% of the respondents said the COVID-19 pandemic has made investing in digital technology more urgent, with a majority planning to invest a great deal (29%) or a moderate amount (51%) relative to their total budget.

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Smart Cities – Seeing the Invisible and Doing the Impossible

Daniel Burrus

By making our cities part of the Internet of Things (IoT), we can gather high-speed data analytics and transform our cities into smart cities. Another fantastic example of transportation efficiency was pitched by Columbus, Ohio. A growing number of utilities are engaging their customers in helping to manage their water usage.

Trends 43
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Applications of Artificial Intelligence (AI) in business

hackerearth

trillion per annum from their less informed peers by 2020.” Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data.