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Data-Driven Mindset: how to implement data culture in your company?

mjvinnovation

The benefits of guiding your decision making with data are numerous, among them: Cost reduction Decrease in rework Efficiency Customer satisfaction Market value. The rise of data-driven culture. Data Science. In addition to winning the market, they also won the minds and hearts of their users. Visualize your data.

Data 59
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Industry 4.0: How to guide organizational change

mjvinnovation

Four major forces push the “fourth industrial revolution,” according to several experts: Surprising growth in data volume (Big Data); Emergence of tools, resources and methods for data analysis; The innovative possibilities of human-machine interaction; And the enhancements of the transfer of digital instructions to the physical world.

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How China Creates the Strongest Innovation System

The BMI Lab Blog

Massive investments, a huge market and the hiring of worldwide talent has boosted the Chinese innovative ecosystem. For instance, in Q3 2017, Tencent, the Chinese Internet company that developed WeChat and QQ, overran Facebook in terms of market value. Rail transportation. China is no longer just the home of copycats.

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

Acuvate

The O&G sector suffered twin blows in the form of a severe demand disruption and a significant oversupply in the market. Leveraging AI, Big Data, IoT, and Analytics to boost data-driven decision-making. By integrating such diverse data (using cloud technology, data standards, servers, etc.),

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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.

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50 what-if questions to reimagine the future

Board of Innovation

Smart assistants like Alexa (Amazon), Google Assistant (Google) or Siri (Apple) are the first mass-market examples of how voice interfaces could look like in the future. And fast and cheap transportations are allowing billion people to fly everywhere in the world. Imagine services that listen to your users (all the time?),