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) …
If you want to put machine learning to work in your organisation, you should really consider securing a place at one of the four all-day workshops we're running as part of MCubed before our early bird ticket offer expires in two weeks time. Oliver Zeigermann returns to take you through the basics of machine learning, before diving into neural networks and deep learning and working up to convolutional neural networks, all using TensorFlow and sklearn. To learn how to build basic models and crucially get them into production in the real world, join Terry McCann for his workshop on "From model to production using the cloud, Containers and Devops". As well as using Python to develop models, this highly interactive session will show how to exploit common technologies such as Azure, Docker and Kubernetes. For a holistic, soup to nuts introduction to machine learning, join Prof Mark White and Kate Kilgour.
Deep learning is an amazing field that help us create great solutions and solve hard problems in the data science world. I've talk about Deep Learning in the past, and how it can help you in your workflow specifically with computer vision and NLP problems. And one of the things you should learn when entering in a new computational field are good tools. Tools allow us to solve our problems without spending hours coding simple or complex things from the beginning. There are several tools for deep learning right now, in the coding space and also in the visual space.
Let me start with a piece of trivia. As of today, research suggests there are already more connected "things" than human beings on earth. Not surprising, really, considering that each of us possesses multiple devices to simply stay connected. Think of these countless everyday physical objects being connected to the internet. Some studies predict that the number of connected devices will touch 50 billion by 2020.
Everyone seems to be talking about AI, but it isn't in production yet at most North American organizations, according to the 2018 Interop ITX AI: Hype or Substance report. The report is based on an April 2018 survey of 182 technology professionals involved in purchasing. Fifty-three percent work in an IT management role; 40% represent enterprises with more than 1,000 employees. Nearly two-thirds of respondents' organizations are working on AI products or evaluating the technology, but only 12% are using AI in production today. Nearly half plan to increase their AI spending in 2018 while 6% will likely decrease their spending.
French technology consulting firm Atos has launched an artificial intelligence (AI) software suite for businesses across the world, which intends to make it simpler for teams to build AI-based applications using a combination of intellectual properties, a report said. Called Atos Codex AI Suite, the software package also intends to make it easier for teams of developers and data scientists to collaborate on the development and training of AI models, The Economic Times reported. The report also added that, with the help of the suite, the apps can be deployed and relocated across multiple environments like public cloud, on-premises or edge computing. "Atos Codex AI Suite tackles new enterprise, scientific and industry challenges, such as precision medicine, advanced prescriptive maintenance and prescriptive security, with a new generation of cognitive applications," said Arnaud Bertrand, senior vice-president, strategy and innovation BDS (Big Data and cybersecurity), Atos. Atos Codex AI Suite can either be purchased as a standalone software platform or together with a server infrastructure, the company added.
Imagine, for a moment, the simple act of picking up a playing card from a table. You have a couple of options: Maybe you jam your fingernail under it for leverage, or drag it over the edge of the table. Now imagine a robot trying to do the same thing. Tricky: Most robots don't have fingernails, or friction-facilitating fingerpads that perfectly mimic ours. So many of these delicate manipulations continue to escape robotic control.
Technology companies are drastically reducing prices of products and services and diversifying their portfolios as a way to respond to recessionary spending patterns of user organizations in Latin America, according to a recent study. Our research shows where organizations are spending their IT budgets in 2018 and what their top priorities are. We also offer practical advice on how to put your IT dollars to good use. Latin American decision makers are shifting from technology spending to employing digital tools to accelerate and enhance their business, according to the study Latin America Outlook of the Information Technology Services Market by consulting firm Frost & Sullivan. This new environment is creating opportunities for IT and cloud sourcing, and service providers are responding with an expansion of their portfolio of cloud services, according to the study.
There is movement afoot in the internet of things (IoT) space, and it's going to change everything. This year, CES was laser focused on applications, highlighting intelligent voice interfaces in the vein of Amazon's Echo/Alexa. We heard less about IoT and more about intelligent and connected products. This doesn't mean that the IoT is done, it simply indicates that a broad category is getting even broader. More interestingly, the devices in the internet of things are getting smarter.
Earlier this month, Aaron Levie, CEO of Box teased of new growth at the end of 2018 and some small acquisitions in the future. He mentioned that the company had plans to invest more into core technologies, like artificial intelligence, security and workflow. "We might make small acquisitions ourselves in terms of growing that technology. We are very confident in the position we occupy and just want to expand that from there," and so they did! With the recent acquisition of Butter.ai, a startup that helps customers search for content across all business applications powered by machine learning.
If the IoT represents a huge opportunity for almost every facet of the business, this is particularly true for supply chain specialists, operations and analysis. The leaders of e-commerce and traditional commerce see an opportunity of competitive advantage in IoT. Even though I've already wrote about IoT in my previous posts, let me give you again a quick definition of it. In 1999, Kevin Ashton (MIT Auto-ID Center) describes the Internet of Things as a network of interconnected objects that generates data without any human intervention. Today, Gartner describes the IoT as "the network of physical objects containing embedded technology to communicate, detect or interact with their internal states or the external environment."