Tag: machine learning

by Incredible Planet Staff

What Does Machine Learning Mean for the Future of Business?


Business

With technology changing at such a rapid pace, it can be tough to stay ahead of the curve. Whether you’re an executive looking to bring innovation to your organization, a small business owner trying to keep up with emerging trends, or a student trying to determine where to focus your studies, you want to make sure that you’re investing your time and money in technology that’s here to stay.

If you’ve been reading up on the top trend lists for 2018, you’ve probably seen the term “machine learning” popping up on almost all of them. Machine learning refers to a type of artificial intelligence in which computers are programmed to learn and improve from experience as they’re exposed to more data. So, what does this mean for the future of business? Here’s what the executive, the business owner and the student will want to know.

The Executive

Organizations around the world are already using this technology to transform their business. For example, Kanetix partnered with Integrate.ai on a project that leveraged machine learning to provide a tailored buying experience to their customers by predicting which users were likely to convert and determining a customer’s preferred method of transacting. The results? Kanetix.ca increased the conversion rates of their auto insurance by 13 percent and generated 2.3x the ROI on their marketing efforts. This is just one of the many ways machine learning can be used to build a better business, so as an executive it’s your job to determine how this technology can help you meet and exceed your organizational goals.

The Small Business Owner

If you’re a small business owner with a tight budget and a non-existent IT team, you’re probably wondering how you’ll be able to keep up with advances in machine learning. While partnering with a tech firm might not be on the horizon, you can capitalize on the trend by investing in a chatbot. Chatbots are computer programs that simulate human conversation, and they’re being used by businesses globally to provide around-the-clock customer service. Does your business have a Facebook page? If so, that could be the best place to start with a simple chatbot: more than 30,000 bots have been built on the Facebook Messenger platform since April 2016.

The Student

If you’re a tech-minded student wondering where you should invest your time, machine learning is looking like a solid career path. The role of Machine Learning Engineer was listed as one of the top five jobs expected to be vital for Canada’s economy in 2018 for a few reasons. First, The Canadian government’s Pan-Canadian Artificial Intelligence Strategy pledged $125 million for research into AI technology. Second, job postings for machine learning engineer grew by 150 percent in 2017. And finally, machine learning is relevant in several industries, making it an in-demand skill.

So what’s the key takeaway when it comes to machine learning? This top trend isn’t just “one to watch” – it’s something that is already changing the way that we do business every day and a solid technology to get behind in 2018 and beyond.


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by Incredible Planet Staff

How Developers Are Using AI To Design Websites Automatically


Technology

With the progress of technology, it is just a matter of time when AI (artificial intelligence) will control website designing. Earlier, it took days to create one simple website page (text-based). Besides, the internet was too slow to load a simple web page. Gradually when the internet speed improved, the website designers became more creative and started using videos, images, typography and other elements to create a user-friendly website. In short, the website become heavier.

Now, people are using devices other than desktops like smartphones, mobile and IoT devices to access the internet. So, the current goal of the website designers is to create responsive as well as interactive websites which takes minimum loading time.

In the beginning, the designers required comprehensive knowledge about web technologies like JavaScript, CSS, HTML and much more. A first generation website designer had to code every page individually, which makes it impossible to create large size complex websites. In case of changing a single URL, address or navigation one had to make changes in every page manually.

Today, with enhanced technical support we don’t have to go through such hassles. Single changes at one point, make it accessible anywhere on any web-page. The popularity of CMS (Content Management System) is at the peak. The popularity of drag and drop technology in website development is also increasing day by day.

Continuous improvement of such technological support is empowering the developers to create a fully functional website within 48 hours! Don’t you think it sounds little crazy comparing with the website development procedure a few years ago? Truth is, the integration of AI (Artificial Intelligence) in website development make it possible today how we are developing and experiencing a website. The use of AI and machine learning in website development is empowering the common people (without coding knowledge) to create stunning websites.

With or without knowledge almost every website designer is currently using machine learning and AI in website development. It is not so far when a large number of websites will be powered by AI.

What is AI and Machine Learning?

The teams AI and Machine Learning are now two buzzwords. Although they are often used interchangeably, a thread of differences is still lying between them.

Artificial Intelligence or AI is a broader concept where machines are becoming “smarter” and making decisions or selections based on deductions. The use of AI in website design is now quite a hot topic.

On the other hand, machine learning could be considered as a “current application of AI”. According to this theory, machines are exposed to a maximum amount of data, from where they learn and make deductions. Machine learning is mostly used to create algorithms for  the search engines and dominantly used in e-commerce websites.

Following websites are already using AI in web design

While it comes to offering better user experience, a number of websites are making their moves by merging AI with Web development. Here are some examples:

  • Wix ADI

When it comes to website designing, we don’t have to introduce Wix as its popularity speaks for itself. Wix is using AI to help the users in developing stunning websites. The best part is, you can develop a website with Wix without or minimum coding knowledge. It offers an option to drag and drop elements and widgets to create personalized websites.

The AI technology used by Wix is popularly known as ADI. ADI understands the users’ expectations and helps to create faster and better website with minimum effort. It not only helps in building websites but also helps to customize websites like anything. So, if you are looking forward to building your own website without the help from professional website developers, Wix ADI could help you.

  • Firedrop

Sacha is the name of the AI used by Firedrop to meet the users’ demand. You just need to open the official website page of Firedrop and start chatting with Sacha! You can start chatting with Sacha and start building your personalized website instant. The websites are designed in such a way to meet both personal and business requirements. With Sacha, you can select your own colors, font style, sections and many more. Besides, you also have the power to change the website design anytime you want to with the help of Sacha without any difficulties.

  • The Grid

The grid is one of the pioneer companies who started introducing AI named Molly into website design. Molly is a great aid to the website designers. The aim is to create AI websites that can be designed on their own. To develop such AI websites you just have to answer few questions and upload photos that can best represent your business and you are good to go! Color combination of a website is a crucial point but with Molly, you can use a simple 5 color palette in 200,000 different combinations. Amazing, isn’t it?

  • WordPress Plugins

If you already have a WordPress website and wondering you have missed AI that could improve your website get-up, some WordPress plugins can help you in this process. You can surely find several WordPress plugins that can introduce AI into WordPress site and enhance user experience. You can also add AI-Powered SEO, chatbots, human emotions insights and post recommendations. Although WordPress Gutenberg comes with typing error rectifications, you can improve writing style by adding AI typing error rectification.

Other examples of using AI in web development

So far, we have told you how the website developers are using AI in web development. However, don’t forget that apart from web design there are some other aspects of AI implementations that could have an impact on app development and web development.

  • Google

Google is the giant search engine and whatever you do, you want to see your website on Google SERP holding a good position. Google is also using AI to offer best search result to the users. You will be amazed to learn most of the algorithms recently added by Google are AI based. RankBrain is an AI introduced by Google that helps in filling users with relevant contents. Although it is at the beginning phase, RankBrain may be considered as an important factor for ranking in Google SERP. Apart from that “image search“, which is recently introduced by Google is also an AI-based application and websites with significant pictures of products, landmarks and information will rank for image search.

  • Netflix

Behaviour and selection process of the users are different. Considering these two factors, Netflix has introduced AI to recommend more relevant videos to the users. The aim is to improve users’ experience and ensure maximum relevant search results in minimum time.

  • Amazon

After Google, Amazon is the website, which is using AI at its best. Like Google, they are also using AI to give best search results to the users with appropriate product lists. Improvement in relevant search results helps Amazon reducing product change and return issues. So, you can do the same for your business. The overall page design of Amazon has been also improved while studying users with AI.

The integration of AI in web designing – should you be concerned?

While discussing AI introduction in website development, the obvious thing that pops up in mind is – “is it going to replace the human developers completely?”

Well, this growing threat is concerning, especially when Wix and Grid are offering AI that can develop a customized website without any expert website developer. However, the fact is, it is hard to replace human website developers. Integration of AI is helpful to speed up the website development process. AI can help the user to develop a basic (but good) skeleton of a website, but there is a lot to do to make it competitive before launching.

AI can study the users’ behavior and satisfy their wish but fail to add “human touch” that only comes from a creative website developer. Apart from that, AI can hardly replace WordPress maintenance support and WordPress security.

What we can do now is cross our fingers and observe the evolution of AI and its further implementations in website development.

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by James Stewart

How machine learning is used with mobile apps


Technology

Machine learning (ML), the subfield of Artificial Intelligence, will certainly bring massive changes to the world in coming years. As experts believe, the practical utility of ML will soon be available to ordinary users via mobile app – the easiest form of computers available now.

ML is beginning a new age of software development. The developers no longer require doing special programming for their computers, gadgets and other devices aiming to complete several tasks. These devices collect and analyze information that they need to draw appropriate conclusion and learn during program performance, instead.

The technology of machine learning now accumulates the experience from previously completed operations and makes decisions as it happens among human beings. This all will happen through a special algorithm that would reach machines to learn things on their own. The targeted devices will be mobile and, the objective will be achieved by mobile app development.

Initially, machine learning began from computers but as of current trends, it’s shifting more towards mobile platforms via mobile app development. This is why almost all big IT firms have started to promote machine learning mobile app development as the next big thing.

Smartphones come with more than sufficient power which can perform operations as similar as large-size computers do. Here are the confirmations:

  • Google’s language software using the neural network and providing language translations is optimized for smartphones and, it supports devices without the internet connection.
  • Lenovo is working a smartphone technology that would perform several operations without the internet connection. Indoor geo-location and augmented reality are two best examples. This is made possible with the high-speed image processing software along with Google’s software.
  • During the last WWDC 16, Apple presented Siri SDK and, now all developers can incorporate this feature into their apps.

Areas Where Machines Learning Apps can be Implemented

As a multidisciplinary field, machine learning mobile apps can be implemented in areas requiring the intersection of technologies, science and business.

Use of Machine Learning in Robotics

The machine learning capabilities can also aid robotics. We are seeing an emergence of the age in which the robots assist people in doing their works, both at workplace and at home. Also, these can be operated via voice command or remotely or via a few taps on the screens of smartphones. All there required are the machine-learning capabilities for the correct performance, even in unpredictable environment.

The MPL Implementation in Data Mining

Data is the true fuel to smoothly and continuously run the modern day’s business practices. Nothing moves without it. The machine learning capabilities can help a lot in analyzing and finding the interesting connections with the vital set of data.

Machine Learning and Finance

The machine learning capabilities are extensively used in the better prediction of future trends. Customized apps can analyze all sorts of browser related history of previous transactions and social media activities so that credit ratings can be determined. Such system can also provide a result to consider portfolio optimization and send recommendation directly to the smartphones of users.

The Machine Learning Makes e-commerce Simple

Machine learning is providing quite a few opportunities for ecommerce businesses in need of increasing revenue and enhancing customer experience. The globally recognized retail giants like eBay and Amazon have already proved it. However, these are big companies which can afford huge investments to implement ML capabilities at their workplaces, but smartphone mobility provides easiest ways to implement ML via mobile apps.

Here are some examples how enterprises can intelligently use ML capabilities in their mobile app developments.

Searching the Products

The ML based app can provide better product searches in terms of ranking, query-understanding and the questions related to expansions.

Recommendation and Promotions of Products

The ML can help users to get better recommendation for the products they are searching for. Same applied on the product promotion.

Forecasting and analyzing latest trends

E-commerce businesses engaged in fashion industry need information to understand the latest trends in the market. Information of the past season sales and upcoming trends can help them reach more precisely to their customers. Here big data machine learning capabilities aid these businesses to aggregate the trend and sales information from diverse sources and create prediction in real time. The ML can also help fashion businesses to manage better pricing to their products to attract more customers.

Detection and prevention of frauds

E-commerce companies keep facing a variety of challenges but with machine learning capabilities, they can create a defense system by involving continuous monitoring of online activities and creating alarms.