Sustainability is a term thrown about quite often in conversations that we have, in the workplace or at home. The umbrella term sustainability includes depleting resources, increasing temperatures, rising sea levels, and more. The concept of sustainability as we know it today was defined in the 1980s. Since then, it

Data has evolved to be present in every part of our lives. When buying a product, we search for a consumer rating or an expert giving us a statistic on how effective the product is. We collect data from our experiences and use it to guide future actions. A similar

Machine learning (ML) is how a system learns and adapts its processes from the patterns found in large amounts of data. When we think of machine learning, some prominent examples come to mind. For instance, the way product recommendations on Amazon are eerily similar to Google searches you’ve done. The

Artificial Intelligence (AI) is shaping an increasing number of sectors globally. Degradation of the natural environment and the climate crisis are complex issues requiring the most advanced and innovative solutions. AI is expected to impact environmental, financial, and job stability, amongst other areas in the future.   But, how much can

Corporations need to digitalize in order to overcome their challenges. That’s especially true for the large industrial corporations in Germany’s Ruhr region and its over 50 cities and municipalities. By collaborating with startups, they are able to drive the change forward, and that’s what the Data Hub program by Gründerallianz

Disasters are dangerous, but Big Data can help improve disaster relief and preparedness to cut back on lives lost and community damage. Historically, public policies have proved ineffective in providing adequate help for disaster-stricken citizens. A year after hurricane Harvey in 2017, for example, residents are still in the midst

Global warming. For a topic as massive, important, and (somehow) controversial, big data is a clear option for sorting through the muck. What information is reliable? What solutions are realistic? When a global issue pits the future of humanity against, well, everything humanity is accustomed to, facts are vital. Big

‘Disruption’ is a pretty well-worn term these days, mentioned at least three times in the first five sentences of any tech blog and thrown around liberally at any good Silicon Valley hackathon. Up until relatively recently, the efforts of data-led disruption were directed squarely at consumers and changing the way

The Internet of Things (IoT) has taken off and is slowly revolutionising the world we live in. Smartphones, smart cars, even smart fridges – all now boast connectivity designed to make our lives easier and more efficient. This is expanding to a citywide scale, with over one billion connected devices

Energy is a huge conversation and big data is already being used to make incredible changes. It’s leveraged to create better oil and gas practices, keep better tabs on expenditures, and even ramp up the renewable energy movement. With not just one, but countless companies integrating big data practices, the