Computers have become adept at extracting patterns from very large collections of data. For example, shopping transactions can reveal consumers' preferences and message traffic on social networks can reveal political trends.
London-based insurtech Concirrus has launched a new artificial intelligence-powered cargo data analytics solution in partnership with brokers Marsh JLT Specialty and Willis Re Specialty. The company claims it has the potential to "revolutionise" the way cargo insurance is priced, selected and managed in the industry. The new solution, called Quest Marine Cargo, will be available from first quarter 2020, and will fully integrate with Concirrus' existing suite of hull and P&I capabilities. It will provide full analytics on the entire cargo journey - from factory gates to customer warehouse using advanced AI combined with the latest cargo monitoring. Concirrus said the launch is a part of its wider innovation strategy which is centred around developing solutions that deliver greater efficiencies to the 300-year old re/insurance industry.
Robots have transcended the realm of sci-fi fantasy and are now making revolutionary waves in several industries. Industries that deal with complex, life-threatening tasks have been enjoying tremendous benefits from robots. From being controlled by a human operator to now being fully autonomous, robotics has vastly grown. Equipped with cutting-edge technologies, some robots today are designed such that they closely emulate human intelligence, in one form or another. Due to this, we see the use cases of robots in areas that need human intelligence and decision-making capabilities.
Returning for its third year, Elevate is now simply too big for one event guide. So BetaKit has produced a guide to every event and stage taking place across the seven-day festival. You can find a link to each individual guide on our Guide to Elevate 2019 hub page. "What is going to happen to my data? What is the flow of my data?
The insurance industry has been very risk averse industry. Traditional carriers have been typically laggard in adopting emerging technologies until 2010s. However, insurance companies has not been new to big data, predictive analytics and modeling. They have been designing, selling and servicing data products to many industries and consumers. With advent of AI and technology capabilities to mine unstructured data from several new sources and sensors, insurance industry is going through a significant disruption.
Technology tools such as artificial intelligence (AI), machine learning (ML) and cloud-based analytics platforms, along with aggregated "big data" organized into informational dashboards, may have cracked the code for improving worker productivity. Data about how employees work and behave can be analyzed, predicted and subsequently used to drive decisions to allocate resources, monitor performance and make the workplace better. These solutions have evolved to shape the way workers work. Vadim Tabakman is the "technical evangelist" at Nintex, a Bellevue, Wash., firm providing end-to-end process management and workflow automation. He said AI and ML are used in many ways to improve performance by learning employee work patterns and habits.
"I have several books on data science and R, as well as other similar subjects and programming languages, in my personal library. However, this book is a great blend of important data science topics and R programming that will make it a great reference for anyone working in this important and immensely popular area. I highly recommend this book for college students learning what it takes to start their career in data science or even current professionals wanting to make a career change or who just want to know more about the subject (and do some R programming as well)." "Due to the self-contained introduction to many of the features of R and RStudio, Graham J. Williams The Essentials of Data Science, Knowledge Discovery Using R would make an excellent recommended or supplementary text for a course that plans to use the rattle package. This book would also serve as a great resource for those with an interest in data science who would like a hands-on approach to learning R and gettting a flavor for a handful of topics within data science."
Click here to read the full article. The following essay was produced as part of the 2019 Locarno Critics Academy, a workshop for aspiring film critics that took place during the 72nd edition of the Locarno Film Festival. Artificial intelligence is everywhere: It can drive a car, chat with customers, or help patients with neuronal damage to recover their potential. But if data-assisted moviemaking can help predict a movie's outcome, what room is there left for artistic freedom? At this year's Locarno Film Festival, Sami Arpa, CEO and co-founder of Largo Films, a startup based in Lausanne, Switzerland, and creator of the LargoAI technology, shared his insight about the evolution of this maybe-not-so-unnatural union.
The following essay was produced as part of the 2019 Locarno Critics Academy, a workshop for aspiring film critics that took place during the 72nd edition of the Locarno Film Festival. Artificial intelligence is everywhere: It can drive a car, chat with customers, or help patients with neuronal damage to recover their potential. But if data-assisted moviemaking can help predict a movie's outcome, what room is there left for artistic freedom? At this year's Locarno Film Festival, Sami Arpa, CEO and co-founder of Largo Films, a startup based in Lausanne, Switzerland, and creator of the LargoAI technology, shared his insight about the evolution of this maybe-not-so-unnatural union. At Locarno last year to present sofy.tv, a VOD service for short films, Arpa recalled, "I was approached by industry professionals, mostly producers and distributors, who asked me if the AI developed for sofy could be used for their own purposes, to help them predict a movie's outcome. A few directors also approached me, although they were much more skeptical at first."
Get your team access to 3,500 top Udemy courses anytime, anywhere. In this Data science Machine Learning project, we will predict the sales prices in the Housing data set using LinearRegression one of the predictive models. Databricks lets you start writing Spark ML code instantly so you can focus on your data problems.