Supply chain technology vendors are increasingly incorporating machine learning into their applications, helping their solutions more accurately understand and react to changing circumstances. Among the largest growing tendencies in the logistics technology area is the developing use of machine learning from warehousing and transport. Actually, something of an arms race has grown among technology suppliers as they attempt to leverage machine learning how to distinguish their software. "Learning" happens when a machine requires a current data collection, observes the truth of the output signal, and updates its model to ensure better outputs will happen. Any machine which does this is utilizing machine learning.

Six in ten businesses believe automation will have a positive impact on businesses to help give them a competitive advantage. The majority of businesses believe that automation will increase productivity and give them a competitive advantage. That's according to research from Robert Half which found that six in ten businesses believe automation will drive productivity. Digital transformation and automation has allowed businesses to use artificial intelligence (AI) and robotics to enhance their performance on simplistic tasks to create a more efficient working environment, by helping businesses to become more efficient, productive and compete within their respective market areas. It was found that 87% of executives have already seen the positive impact that a growing reliance on technology can hold for organisations.

"We use drones to take super high-resolution photographs of fields to leaf level, in addition to using satellite and plane imagery," explains Eli Bukchin, Co-founder and CTO at Taranis. "The big problem farmers face is maintaining oversight on hundreds of thousands of acres: up to 40 percent of crops are routinely lost because of insects, crop disease, weeds, and nutrient deficiencies. We have a team of 30 agronomists who work on tagging images to feed AI models that enable us to identify problems before they affect the crops, so farmers can intervene earlier in a more targeted way and use fewer chemicals." As Taranis works all over the world and often in remote locations, it needed to find a way to upload large volumes of image files, along with creating a scalable infrastructure powerful enough to test complex machine learning models. Google Cloud Platform (GCP) along with TensorFlow provided the answer.

Astrophysicist (Views are my own) http://rocketdatascience.org/ Are you sure you want to view these Tweets? The way you think about data needs an update, so here's a patch for your brain. This collection of blog posts from @KirkDBorne will expand AND update your thinking! RT @ScienceUnderSec " @ENERGY's #NationalLabs are using #AI and supercomputing to solve some of the world's toughest problems as well as advancing cancer research and strengthening our national security." Twitter may be over capacity or experiencing a momentary hiccup.

The retail industry is undergoing a sea change so massive that many industry insiders have termed it the "retail apocalypse." In a sign of this industry upheaval, in 2018 major retailers closed 5,524 stores in the U.S. and 1,432 stores in the U.K., according to figures compiled by the Coresight Research, a firm that studies the retail industry.1 In some good news for the industry, Coresight predicts that 2019 "will not be the year of retail apocalypse or even decline. Instead, it will be a year of reinvention -- for the retail sector as a whole and for physical stores in particular."2 This predicted reinvention of the industry stems in part from the use of sophisticated technology, specifically artificial intelligence.

It will still be a while before you are able to order drone-delivered packages, however. The news: The Federal Aviation Administration has granted UPS's drone business a Part 135 certification, meaning it is treated as a full-fledged airline, able to operate as many drones in as many locations as it wishes (although there are a lot of obstacles and caveats before that can happen in reality). UPS has dubbed its new drone airline "UPS Flight Forward," and it's the first in the US to gain official recognition. Currently: UPS has been providing a drone delivery service at the WakeMed hospital and campus in Raleigh, North Carolina, since March, moving medical samples around the site about 10 times a day. This new certification means UPS can expand beyond this site.

If your home is in a wildfire area, insurance companies tend to not want to go anywhere near it. But "wildfire areas" tend to be pretty broad. What if companies could evaluate the risk on a more granular level -- tapping things like satellite imagery and machine learning combined with wind, weather and topology data, to better define the riskiest zones? Could more home owners be offered policies, and at more affordable rates? Delos itself doesn't act as the insurer; instead, it acts as a Managing General Agent (or MGA) for a bunch of major carriers.

The placenta is one of the most vital organs when a woman is pregnant. If it's not working correctly, the consequences can be dire: Children may experience stunted growth and neurological disorders, and their mothers are at increased risk of blood conditions like preeclampsia, which can impair kidney and liver function. Unfortunately, assessing placental health is difficult because of the limited information that can be gleaned from imaging. Traditional ultrasounds are cheap, portable, and easy to perform, but they can't always capture enough detail. This has spurred researchers to explore the potential of magnetic resonance imaging (MRI).

Truth in measurement has never been more important than it is today. Therefore, truth is our only agenda. But arriving at that truth has never been more complicated. While many view big data as a panacea for measurement in a digitally rich world, we know it's not that simple. Nielsen's panels have been the foundation of person-level measurement for decades, and they remain so today.

We're excited to announce our 4th WiMLDS Montreal meetup presented and hosted by BDC! Whether you're a data professional or simply curious, you are welcome regardless of your technical level or your gender. The talks will be entirely in English. Agenda 6:00 pm -- Doors open 6:30 pm -- Talks 7:45 pm -- Panel 8:30 pm -- Networking Opening remarks Amy Pollard -- Analyst @ Strategic Investments & BDC Women in Tech Fund Amy is involved in all aspects of the deal process including sourcing and due diligence. She is also responsible for portfolio management activities including portfolio monitoring, reporting and bi-annual portfolio valuations. Since founding her first entrepreneurial venture as a teenager, Amy has actively volunteered in global entrepreneurial and tech communities through organizations such as Startup Canada, Startup Weekend, Startup Nations and Junior Achievement.