Venzee Technologies CEO John Sexton Abrams told the Investing News Network how the company's partner-selling model is creating opportunities for growth. Venzee Technologies Inc. (TSXV:VENZ) CEO John Abrams believes that the company's use of channel partners is fundamental to its growth, leading the company to new and better opportunities. Venzee Technologies is a software-as-a-service (SaaS) company that serves as a data-exchange link between product manufacturers, suppliers and retailers. The company's platform uses artificial intelligence and machine learning to consolidate and distribute product information across the global retail supply chain. In October 2019, the company announced that it had added two Fortune 1000 manufacturing companies to its roster of clients.

Today's largest manufacturing country headed the output league table nearly two centuries ago before being ousted by Britain in the first industrial revolution. China accounts for 20 per cent of global output, followed by the United States with 18 per cent, Japan 10 per cent, Germany 7 per cent and South Korea with 4 per cent, according to the most recent (2015) data from the United Nations Conference on Trade and Development. The UK is ninth with 2 per cent. In the intervening centuries there have been sizeable shifts. China reclaimed its crown after 150 years by overtaking America during the past decade.

TV shows and fiction aside, the present day examples of basic AI are Google Voice, Cortana, Alexa, Siri and chatbots. However, AI isn't just limited to voice assistants, it's turning tables in other domains and industries as well. Several restaurants for instance have bots for room service, serving food and carrying luggage. Let's take a look at some interesting and mind-bending stats and facts on this prevalent technology to give you a better idea of the direction the market is headed. He said that at a town hall event in San Francisco in January last year and he couldn't be more right. Today we have robots to help differently-abled people dress up.

Peter Ruffley, chairman at Zizo, discusses how we can best use artificial intelligence and what its role is within the data centre. The interest in adding AI and machine learning to business models is fast gaining momentum as organisations look to find patterns within their data that can deliver greater business and customer intelligence, and predict future trends. As Gartner highlights, the number of enterprises implementing AI tripled in the past year. However, Gartner also claims that more than 30% of data centres that don't deploy AI and machine learning won't be operationally and economically feasible by 2020. At present, the IT industry is doing itself no favours by promising the earth with emerging technologies, without having the ability to fully deliver them.

The Food and Drug Administration (FDA) is announcing the following public workshop entitled "Evolving Role of Artificial Intelligence in Radiological Imaging." The intent of this public workshop is to discuss emerging applications of Artificial Intelligence (AI) in radiological imaging including AI devices intended to automate the diagnostic radiology workflow as well as guided image acquisition. The purpose of the workshop is to work with interested stakeholders to identify the benefits and risks associated with use of AI in radiological imaging. We also plan to discuss best practices for the validation of AI-automated radiological imaging software and image acquisition devices. Validation of device performance with respect to the intended use is critical to assess safety and effectiveness.

The rise of artificial intelligence is one of the most disruptive developments of this age. Already of rising importance, AI is considered a make-or-break technology for companies across the board, with 75% of C-level executives believing that employing AI will decide if their business will prosper or fail. The legal sector is an industry that is rich in documents but poor in data -- a stark contrast to many other business sectors, where data is at the heart of everything. This means that most AI solutions thus far are not adapted to a law practice's kind of work, which mostly consists of sifting through thousands of documents relevant to a specific case, with specialized teams hired particularly for this purpose. No surprise then, that law firms have been slow to embrace new tech such as AI. However, recent innovations in AI have been tailored exclusively to the needs of the legal sector, which has caused a renewed interest in using artificial intelligence for the benefit of the legal profession.

Bots are a lot like humans: Some are cute. Some are annoying ... and a little racist. Bots serve their creators and society as helpers, spies, educators, servants, lab technicians, and artists. In the 2010s, automation got better, cheaper, and way less avoidable. That means driving directions are more reliable, instant translations are almost good enough, and everyone gets to be an adequate portrait photographer, all powered by artificial intelligence.

We've been told that there is nothing to worry about artificial intelligence, robots and technology. New technologies will only replace mundane, repetitive jobs and free up workers to do more meaningful work, claims the media and top management consulting firms. Last week, the House Financial Services Committee's Task Force on Artificial Intelligence conducted a meeting with university academics and Wall Street financial services professionals to discuss the impact of AI on trading, robo-advisory, market surveillance and other activities within the financial services sector. To set the tone, the report by Wells Fargo predicting 200,000 banking jobs in the U.S. will be lost over the next decade--due to the introduction of new technologies--was cited by the chairman of the AI Task Force, Rep. Bill Foster (D-Ill). According to Marcos Lopez de Prado, the former head of machine learning at AQR Capital Management, algorithms in electronic markets have already automated the jobs once dominated by thousands of traders.

The modern world is changing more and more quickly with each passing year. If you don't pay attention to new changes or keep up the pace, it's easy to fall behind the times (and the market) while other companies beat you to the punch. To keep abreast of current changes – at least at a level of basic understanding. Adding to that, if you can't understand the buzzwords others are using in conversation, it's much harder to look smart while participating in that conversation. In this post, we're going to give you the 10 IT & technology buzzwords you won't be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. The first in our definitive rundown of tech buzzwords 2020 is computer vision. Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. In a computing context, 'vision' involves systems that can identify items, places, objects, or even humans from visuals mediums – images caught by a camera or sensor.

As 2019 draws to a close and a new year and a new decade are nearly upon us, we're looking back at the year's biggest AI innovations. Companies have applied artificial intelligence and machine learning to everything from enhancing the customer experience to revolutionizing medicine. Here's a closer look at key innovations in AI that made a splash in 2019 and set the stage for future innovation in 2020 and beyond. AI innovations and machine learning have made significant leaps forward in the financial industry. According to a Deloitte report, "AI leaders In financial services: Common traits of frontrunners in the artificial intelligence race", AI tools are reshaping many aspects of financial services and the way we manage our money.