Category: Artificial Intelligence

Adani Group is a diversified organization in India with combined revenue of $15 Bn comprising 6 publicly traded companies with a transport logistics, energy utility and infrastructure portfolio that has a pan-India presence. Adani owes its success and leadership position to its core philosophy of ‘Nation Building’ driven by ‘Growth with Goodness,” a guiding principle […]

What if? I used to get lunch from a small café near my old office, and I would get the same sandwich every time I was there. Eventually, the staff behind the counter would recognize me when I got in line. With a subtle nod of confirmation, they’d start making and toasting my sandwich so […]

Life Science companies are witnessing substantial growth in number of Adverse Events (AE) being reported for their products. This may be due to the increase in data volumes coming from journals, articles, social media, and non-standardized data sources. Evolving regulations and increasing pressure to improve quality and patient safety, while maintaining patient privacy rights, and […]

Evolution and lessons from smart grid 1.0 In 2017, Gartner reported that advanced metering infrastructure was passing through the “Trough of Disillusionment” in its hype cycle for smart grid technology. The utility field area networks were beginning to climb the “Slope of Enlightenment” and perhaps have plateaued in productivity. A few important lessons were learned […]

Feeding the world requires continuous innovation – and as data has become the force multiplier in agriculture – the need for an integrated ecosystem.  There is no single solution that solves for creating the Connected Farm because every operation is different and unique in the data it needs to operate. AWS customers have shared their […]

The selection of specific crops (corn, soybeans, wheat etc.) is dictated by the heat units and length of the growing season.  This is commonly calculated as Growing Degree Units.  The AWS Registry of Open Data contains global weather datasets dating back over 200 years enabling agricultural crop breeders in the seed/chemical/fertilizer business to optimize their […]

Introduction It is hard to imagine the future for medical imaging without machine learning (ML) as its central innovation engine. Countless researchers, developers, start-ups, and larger enterprises are engaged in building, training, and deploying machine learning solutions for medical imaging that are posed to transform today’s medical workflows and the future value of imaging in […]

A July 2019 Navigant report on growth of distributed energy resources (DER) annual capacity predicts that we will reach 600 GW of total DER capacity in eight years, out of which nearly 250 GW will come from distributed solar assets. Managing grid stability with such a massive influx of these highly variable energy resources is […]

Introduction Bringing a new drug to market is a slow and laborious process. According to Tufts Centre for the Study of Drug Development, it takes on average between 7 to 10 years and costs more than $2.5 billion to bring a new drug to market. (1) More than half of this time and capital is […]

OAG Analytics software running on AWS accelerates collaboration between geoscientists and data scientists with seamless interaction of 100+ GB geo-encoded raster images in a web browser or mobile device. Problem Large geotagged raster images are frequently used as input data to, and are generated by, hybrid machine learning workflows that quantify subsurface resources like hydrocarbons, copper, […]