If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
British Airways' parent company, IAG is implementing some cutting edge automation solutions in response to the rapid pan-industry digitalisation of the air freight sector. Announced on Thursday, IAG Cargo will start using autonomous drones in a move towards full automation of inventory counts in its air cargo facilities, following a successful trial. With a vision to fully automate inventory counts at its air cargo facilities, IAG Cargo has been working closely with FlytBase on aerial inventory scans at its Madrid facility. Inventory counting, while critical to freight and logistics operations, is a massive train on man hours, consuming thousands of hours each year across IAG Cargo's hubs in the UK, Spain, and Ireland. On top of this, rapid global growth in ecommerce and increasing customer expectations of immediacy when it comes to delivery mean that air freight operators are having to increase the frequency of counts.
Broadcom AVGO recently launched Automation.ai, an AI-based software platform for supporting decision making processes across different industries. Large volumes of data often make digital transformation a challenging regime. This can lead to slower decision making. Automation.ai is a unique platform designed to ease complications stemming from the interference of diverse tools and data, and thereby facilitate informed decision making. Automation.ai correlates and examines data as well as powers Digital BizOps from Broadcom across different types of operations.
A September 2018 survey conducted by private software company Qualtrics looked at the variety of reasons that US consumers are driven away from in-store shopping. Though the greatest number of respondents (42%) named "rude employees" as a reason to shop elsewhere, disorganization (17%), out-of-stock items and long checkout lines (both 12%) were also cited. Additionally, nearly one-third of US grocery buyers said they'd quit a long line in search of a better checkout experience, while 11% would abandon a purchase entirely in the same situation, per an April 2018 Digimarc survey conducted by Forrester Consulting. Automation is one possible solution to these customer woes--according to the Capgemini study. When asked if the technology could help solve some in-store shopping issues, most respondents agreed.
The Irish Times reports the European Commission will publish a new position paper on artificial intelligence across the bloc next week. While the paper does not include a pitch for a previously proposed facial-recognition moratorium, the commission is set to allow member states, via an independent assessor, to decipher how and when they will permit the use of facial recognition. Meanwhile, Euractiv reports that Clearview AI aims to expand services across the European market.
Most predictive use cases don't require a data science team. Whether for marketing, research, or business operations, automated machine learning algorithms can tackle many of the most common scenarios effectively. Generally speaking, organizations that focus on a high volume of achievable wins tend to increase project throughput, performance, and overall satisfaction. Register for this episode of The Briefing Room to hear Bloor Group CEO explain why Auto-ML poses far more opportunities than threats, and should therefore be embraced with earnest. He'll be joined by Judah Phillips of Squark, who will demonstrate how his company's Auto-ML platform addresses up to 80% of the use cases for predictive modeling.
SAN DIEGO (KUSI) – President of Wilsey Asset Management, Brent M. Wilsey joins KUSI to talk about the effect that the advancement of technology has had on the job market. While updates in technology have eradicated many jobs, there are also a great deal of jobs now that didn't exist 20 years ago such as SEO analysts, Cloud architects, and Lyft drivers.
For the next installment of the informal TechCrunch book club, we are reading the fourth story in Ted Chiang's Exhalation. The goal of this book club is to expand our minds to new worlds, ideas, and vistas, and The Lifecycle of Software Objects doesn't disappoint. Centered in a future world where virtual worlds and generalized AI have become commonplace, it's a fantastic example of speculative fiction that forces us to confront all kinds of fundamental questions. If you've missed the earlier parts in this book club series, be sure to check out: Some questions for the fifth story in the collection, Dacey's Patent Automatic Nanny, are included below. This is a much more sprawling story than the earlier short stories in Exhalation, with much more of a linear plot than the fractal koans we experienced before.