Although AI (Artificial Intelligence) is still in its early stages for ERP software, the demand for the technology is rising each day. During the 1990s, ERP was the emerging trend and companies were looking to utilize the new functionality and opportunities this trend brought. Many customers moved from manual systems and spreadsheets to ERP software with the main aim of improving efficiency. Today, ERP is a very common term within the industry and most companies who have adopted ERP software in their organizations are asking the question'what is next?' AI is an emerging trend but understanding terms like Big Data and the Internet of Things (IoT) which are causing digital disruption can create a misperception in the market. Today, more than before, companies need to understand how AI fits into ERP software as well as the benefits it can provide.
Have you ever been worried on a tour, if you've switched off a light bulb back home? We've all had this confusion at least once, for there was no way you could ensure that everything was perfect. Now, with AI, we don't need to leave anything to chance nor assumptions. AI provides perfect ways to ensure that use of appliances is optimized perfectly when in use and when not in use. Let's imagine some of the ways through which AI and Smart Home Automation will impact and change the way we live: Amazon's Alexa, Google Home, Apple's Siri and Microsoft's Cortana have all optimized and automated living inside a home to a great extent.
With all the buzz around big data, artificial intelligence, and machine learning (ML), enterprises are now becoming curious about the applications and benefits of machine learning in business. A lot of people have probably heard of ML, but do not really know what exactly it is, what business-related problems it can solve, or the value it can add to their business. ML is a data analysis process which leverages ML algorithms to iteratively learn from the existing data and help computers find hidden insights without being programmed for. With Google, Amazon, and Microsoft Azure launching their Cloud Machine learning platforms, we have seen artificial intelligence and ML gaining prominence in the recent years. Surprisingly, we all have witnessed ML without actually knowing it.
The last time I applied for a mortgage, I had forgotten how many different pieces of paper and documents I needed to find and hand over to the bank. At the time, I couldn't help but think how irritating this was, and how that surely they had all this data to hand already – especially as I was an existing customer with the bank. What I hadn't really thought about was the process and technology behind the application and reams of paper I was relinquishing. Not until I recently met a company based in the Moorgate WeWork, London. Having written a few of these blogs already I realise that I use terms like "the company" or "that company" a lot, so from now on I will simplify this by using "TechCo" (short hand for "Tech Company").
Whether we know it or not, artificial intelligence (AI) is already steeped into everyday life. It's present in the way social media feeds are organised; the way predictive searches show up on Google; and how music services such as Spotify make song suggestions. The technology is also helping transform the way enterprises do business. Commonwealth Bank of Australia, for instance, has applied AI to analyse 200 billion data points to free up more time so its customer service officers can focus on doing exactly what their title suggests: servicing customers. As a result, the bank has seen a 400% uplift in customer engagement.
Artificial Intelligence (AI) is here today; it's not just the future of technology. It is also not just found in toy robots or Hollywood sci-fi movies. It's embedded in the fabric of your everyday life. Despite AI's promise, certain thinkers are deeply concerned about a time when machines might become fully sentient, rational agents--beings with emotions, consciousness, and self-awareness. "The development of full artificial intelligence could spell the end of the human race," Stephen Hawking told the BBC in 2014.
Forget Killer Robots--Bias Is the Real Danger of artificial intelligence. Machine learning bias, also known as algorithm bias or AI bias, is a phenomenon that occurs when an algorithm produces results that are systematically prejudiced due to erroneous assumptions in the machine learning process. Oscar Wilde once argued that life imitates art more than art imitates life. Strangely, that's proving to be the case when it comes to AI development – but not in the way some had hoped. AI programs are made up of algorithms, or a set of rules that help them identify patterns so they can make decisions with little intervention from humans.
It's been 10 years since the first ever Mario AI Competition, so I return to the world of Super Mario level generation research and catch up one some of the more interesting examples that have arisen in recent years. This video is inspired by the following AI research papers and projects: NOOR SHAKER: http://lynura.com/publications.php It's is supported through and wouldn't be possible wthout the wonderful people who support it on Patreon. You can follow AI and Games (and me) on Facebook, Twitter and Instagram: http://www.facebook.com/AIandGames
As more and more banking institutions look to find out more about the importance of artificial intelligence, app developers are playing a much larger role. App developers are able to guide their clients in the proper direction. They are at the cutting edge of all new technologies. Banking institutions that do not take the time to meet with app builders are placing themselves behind the proverbial eight ball. They are not going to be able to enjoy all of the benefits that artificial intelligence has to offer.