This morning I was reading the interview with Larry Pizette, Head of Amazon ML Solutions Lab at AWS, in October 2018 titled: "How to Get Started with Machine Learning: Cutting-Edge Expert Tips." The interview, through ten questions, goes through the basic itinerary to start in Machine Learning from a business point of view. The key ones that I will delve into are: Input barriers, implementing ML and creating value. Entry barriers: In the section, he mentions four points: data, resources, personnel and deployment. I was very pleased with how they argued that "A GPU is required for Deep Learning" with a FALSE.
Artificial intelligence and machine learning has become essential if you are selling sales, customer service and marketing software, especially in large enterprises. The biggest vendors from Adobe to Salesforce to Microsoft to Oracle are jockeying for position to bring automation and intelligence to these areas. Just today, Oracle announced several new AI features in its sales tools suite and Salesforce did the same in its customer service cloud. Both companies are building on artificial intelligence underpinnings that have been in place for several years. All of these companies want to help their customers achieve their business goals by using increasing levels of automation and intelligence.
Anyone looking for an industry to illustrate the implications of digital disruption need look no further than financial services. High-street branches continue to close at an alarming rate as many services go online, while the traditional banks face stiff competition from online rivals who don't have to worry about bricks-and-mortar at all – plus a horde of fintech startups touting new options like cryptocurrencies and more. Such is the potential for change that Gartner estimates as many as 80% of traditional banks will go out of business by 2030. The analyst says established financial services providers will have to move faster by building digital platforms or finding niche products. SEE: Digital transformation: A CXO's guide (ZDNet special report) Download the report as a PDF (TechRepublic) Royal Bank of Scotland Group is one financial services giant that claims to be taking a proactive approach, rather than the reactive response to IT and business change that tends to characterise big-name banks.
Lucidea, provider of ArchivEra, CuadraSTAR SKCA and Eloquent Archives, will participate in the Archives & Records Association (ARA) annual conference on 28th and 30th August in Leeds. Visit Lucidea at Stand #5 in the Queens Hotel to see how easily their archival collections management solutions enable researchers and the public to connect with the historic materials archivists work hard to preserve. Lucidea's archives specialists will demonstrate the powerful and versatile capabilities of ArchivEra, CuadraSTAR SKCA, and Eloquent Archives that make them a valued technology partner in the archives community. ARA attendees will be first in the UK to see Lucidea's exciting new AI prototype for archives. With Artificial Intelligence (AI) integration now available in ArchivEra, Lucidea's clients will enjoy powerful automatic categorization functionality.
Enthusiasts predicted the plan would relieve the pressure on hard-pressed GPs. Critics saw it as a sign of creeping privatisation and a data-protection disaster in waiting. Reactions to news last month that Amazon's voice-controlled digital assistant Alexa was to begin using NHS website information to answer health queries were many and varied. US-based healthcare tech analysts say the deal is just the latest of a series of recent moves that together reveal an audacious, long-term strategy on the part of Amazon. From its entry into the lucrative prescription drugs market and development of AI tools to analyse patient records, to Alexa apps that manage diabetes and data-driven experiments on how to cut medical bills, the $900bn global giant's determination to make the digital disruption of healthcare a central part of its future business model is becoming increasingly clear.
Netflix recommends your next binge based on the show you watched last night. Amazon convinces you to buy three more items that align with your buying habits. And ride-share apps like Uber or Lyft analyze your location and connect you with a driver heading your direction. When AI makes everyday tasks easier, the consumer experience feels seamless. But for many business and marketing leaders AI is the buzzword du juor keeping them up at night.
I used TensorFlow and a Raspberry Pi to create a pet detector camera that watches the door and texts me when my cat wants to be let inside! This video explains how the code works, so you can use it as an example for your own object detection application. Get a Raspberry Pi: https://amzn.to/2Iki3fb If you have questions, I usually respond more quickly on Twitter, so send me a tweet @EdjeElectronics!
A new generation of swarming robots which can independently learn and evolve new behaviors in the wild is one step closer, thanks to research from the University of Bristol and the University of the West of England (UWE). The team used artificial evolution to enable the robots to automatically learn swarm behaviors which are understandable to humans. This new advance published today in Advanced Intelligent Systems, could create new robotic possibilities for environmental monitoring, disaster recovery, infrastructure maintenance, logistics and agriculture. Until now, artificial evolution has typically been run on a computer which is external to the swarm, with the best strategy then copied to the robots. However, this approach is limiting as it requires external infrastructure and a laboratory setting.
The purpose of this research project is to determine if the use of Artificial Intelligence Tools provides value to consumers and whether or not it influences their purchasing decision. It should take approximately 10 minutes to complete. When answering the questions, please think about real situations you have encountered. This will improve the accuracy of your answers. Your responses will be confidential and the survey does not collect identifying information.
The UK Government has invested $28 million in several high-tech farming projects, which are aimed at cutting down pollution, minimizing waste and producing more food. The investment is part of the Government's modern Industrial Strategy, for which the UK has committed to boost R&D spending to 2.4 percent of GDP by 2027. The projects include Warwickshire-based Rootwave, which will use a $875,000 grant to use electricity instead of chemicals to kill weeds from the roots, avoiding damage to crops. Tuberscan, in Lincolnshire, will use $496,000 to develop ground penetrating radar, underground scans and artificial intelligence (AI) to monitor potato crops and identify when they are ready to harvest. The government hopes the technology will increase the usable crop by an estimated 5 to 10%, as well as reducing food waste with minimal additional costs.