{"id":138396,"date":"2020-02-20T15:38:03","date_gmt":"2020-02-20T15:38:03","guid":{"rendered":"https:\/\/altitudeaccelerator.ca\/ai-for-startups-how-to-use-ai-tools\/"},"modified":"2025-12-08T13:30:30","modified_gmt":"2025-12-08T13:30:30","slug":"ai-for-startups-how-to-use-ai-tools","status":"publish","type":"page","link":"https:\/\/altitudeaccelerator.ca\/fr\/ai-for-startups-how-to-use-ai-tools\/","title":{"rendered":"AI for Startups: How to Use AI in your Software"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>This article is for:<\/strong> Software startup founders who want to learn the basis of AI for startups when considering how to use AI in their products. Artificial intelligence tools can be useful if implemented properly &#8211; read below to find out how.<\/p>\n\n\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/altitudeaccelerator.ca\/create-software-development-techniques\/\">&lt;&#8211; Back to: \u00ab\u00a0How to Create Software: Development Techniques to Learn\u00a0\u00bb<\/a>    <\/p>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence (AI) has become an incredibly popular buzzword in the tech industry, often portrayed as the next big innovation that your software startup needs to prepare itself for. However, a huge innovation like AI tends to scare off early startups because it seems too complicated of a technology to implement. While large enterprises and even some knowledgeable startups are designing their own AI programs and solutions, less experienced businesses are still able to take advantage of the less advanced artificial intelligence tools that are available to help make work more efficient. There are a wide variety of applications of artificial intelligence that are a simple implementation away from playing a huge role at your business.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI has become an integral part of the success of many modern tech companies, whether that\u2019s a huge enterprise or a brand-new startup. It delivers intelligent solutions to a wide range of existing business inefficiencies and the ability to logically self-learn to address similar problems in the future. Pretty much every discipline is finding some way to get involved with AI, from the automotive industry to <a href=\"https:\/\/altitudeaccelerator.ca\/software-development-life-science\/\" target=\"_blank\" rel=\"noreferrer noopener\">life sciences<\/a> to <a href=\"https:\/\/altitudeaccelerator.ca\/game-development-tools-video-game-startups\/\" target=\"_blank\" rel=\"noreferrer noopener\">video games<\/a> and beyond!<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For startups, new advancements are making it easier to integrate AI into your software or cloud solution. Many investors or other funding sources have shown great interest in AI research and development as well. In general, the reputation of AI as being some sophisticated technology reserved for those with the bountiful means to implement it has come and gone. This article explores how you can implement AI at your software startup today. The following topics will be covered in this article:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"#why\">Why Implement AI at Your Software Startup?<\/a><\/li><li><a href=\"#types\">Types of AI<\/a><\/li><li><a href=\"#commonuses\">Common Uses of AI<\/a><\/li><li><a href=\"#8steps\">8 Key Steps to Implementing AI<\/a><\/li><li><a href=\"#support\">Helpful AI Support Programs for Startups<\/a><\/li><li><a href=\"#startups\">Some Startups Capitalizing On AI<\/a><\/li><li><a href=\"#takeaways\">Key Takeaways<\/a><\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">We will illustrate these ideas through case studies of companies and founders who work with the Altitude Accelerator network  <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong><a href=\"#case1\">Case study<\/a>: <\/strong>Robyn Halbot from Analyticly<\/li><li><strong><a href=\"#case2\">Case study:<\/a> <\/strong>Chris Houston from SurfEasy<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"why\">AI for startups: why implement artificial intelligence tools at your startup?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">As much as the giants of the tech industry are using different applications of artificial intelligence to keep themselves ahead of the competition, startups can also use AI to create efficiencies themselves and avoid wasting the little money they have. <a rel=\"noreferrer noopener\" aria-label=\"A report from PwC (opens in a new tab)\" href=\"https:\/\/www.pwc.com\/gx\/en\/issues\/data-and-analytics\/publications\/artificial-intelligence-study.html#download\" target=\"_blank\">A report from PwC<\/a> says that global GDP will rise by 14% by 2030 because of AI; startups are believed to play a significant role in that growth.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">While implementing AI may seem\nlike an unaffordable and unnecessary luxury for your business, you should\nconsider all the ways it can cut costs. For one, extra employees or outsourcing\nfor repetitive tasks can often be replaced by AI. Or by delegating these tasks\nto AI, your employees can focus their energy on more involved, creative tasks.\nThese tasks can include logistics operations like scheduling or data entry. By\nrefocusing your employees and augmenting their existing skills with AI, you can\nincrease productivity and significantly reduce wasted time.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Many more of the advantages you can get from integrating AI solutions can be found <a href=\"#commonuses\">later in this article<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"types\">Types of artificial intelligence<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI has become an extremely broadly-applied term in the tech industry that can represent anything from a comprehensive virtual assistant to a simple tool that deletes spam emails. When learning about the options you have for implementing AI for startups, it\u2019s important that you\u2019re able to distinguish between the different categories so you can have a better idea of what you\u2019re getting yourself into with each. If you\u2019re not so technical yourself, familiarizing yourself with these terms makes it easier to <a rel=\"noreferrer noopener\" aria-label=\"communicate with your developers (opens in a new tab)\" href=\"https:\/\/altitudeaccelerator.ca\/software-startup-development-communication\/\" target=\"_blank\">communicate with your developers<\/a> about what kind of AI is right for your business.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Popular types of AI<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">There are multiple ways that AI\ntechnologies are technically categorized, which will be explored below, but\nhere are some of the more common types of AI that you\u2019ve likely heard before.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Machine Learning (ML) <\/strong>involves the creation of algorithms that define a goal and allow the machine itself to learn how to reach that goal. Most of the simpler artificial intelligence tools integrated at a software startup will make use of ML. In essence, we teach a machine how to do something itself by continuously giving it experience with the data involved in the task. As the number of samples encountered by the algorithm increases, its performance increases as well. After identifying natural patterns within a dataset, the machine is then able to get insights and predict the unknown. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Supervised<\/strong> machine learning conducts categorizations\nand regressions based on a set of input and output data. <strong>Unsupervised <\/strong>machine\nlearning finds patterns based only on input data, often used for more\nexploratory analysis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Deep Learning (DL)<\/strong> is a subset of machine learning that layers\nseveral algorithms in a hierarchy, with each providing a different\ninterpretation of the data being fed through it. This network of algorithms is\ncalled an artificial neural network and can make intelligent decisions on its\nown, as opposed the human assistance required to complement ordinary ML. Deep\nlearning does, however, require much more data to work with.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Natural Language Processing (NLP)<\/strong> involves the manipulation and processing of\nnatural language data, mainly speech and text. NLP is used whenever a computer\nis able to understand the user\u2019s language and do something with the data. This\nincludes speech-to-text services and spam email recognition.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Machine Vision<\/strong> is exactly what it sounds like, ideally enabling to machines to see what we see. This field aims to capture and analyze visual information using a camera or any other digital signal processing. Vision programs usually makes use of machine learning so computers can figure out what they are looking at.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Functional classifications of AI<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">AI programs are most commonly\nclassified by their ability to \u201cthink\u201d like a human, or which human-like\nfunctions they are able to perform.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Reactive Machines<\/strong> are the oldest and most limited forms of AI.\nThese machines are not able to learn or retain memories from their experiences,\nbut are able to respond to stimuli in a way that imitates the human mind. They\nare generally used to respond to a specific set of inputs. One example is IBM\u2019s\nDeep Blue, an AI program that beat a chess grandmaster in 1997.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Limited Memory Machines<\/strong> encompass almost all of the existing\napplications of AI we know today. This category includes machines that learn\nfrom their previous experience to improve their responses to stimuli.\nTherefore, this includes ML, DL, NLP, Vision, and more.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The last two categories are both\neither a concept or a work-in-progress. <strong>Theory of Mind <\/strong>machines are able\nto understand people\u2019s emotions, motivations, beliefs and interact socially. <strong>Self-Aware<\/strong>\nmachines would mimic the mind of a human being, having its own conscience and\nsentience. Many strides have been made in these fields but no fully-functional\napplication is known yet.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The alternative way to classify AI applications is similarly by their capability. <strong>Artificial Narrow Intelligence<\/strong> is able to perform a human-like task autonomously as programmed; this includes all reactive and limited memory machines, therefore all AI applications created to date. The classification also includes <strong>Artificial General Intelligence<\/strong>, which would boast the functionality of a human brain; and <strong>Artificial Superintelligence<\/strong>, which would exceed the capabilities of the human brain.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"commonuses\">AI for startups: common artificial intelligence tools and uses in business<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">AI features in enterprise software<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">With AI features often readily available in many commonly-used enterprise software, large companies no longer have the competitive advantage of access to enterprise-level AI solutions. Businesses should learn how to take advantage of the services that are readily available to everyone to avoid being left behind by more tech-savvy competition. Especially for businesses worried about the technical and time requirements to implement AI, doing so is seamless when it is part of a platform you already use.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">One of the major examples is Salesforce, a common platform for customer relationship management and sales. It launched an AI for startups platform called <a rel=\"noreferrer noopener\" aria-label=\"Einstein (opens in a new tab)\" href=\"https:\/\/www.salesforce.com\/ca\/products\/einstein\/overview\/\" target=\"_blank\">Einstein<\/a> that can provide many helpful services to small businesses including:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Predicting customer service issues<\/li><li>Identifying new prospects<\/li><li>Personalizing marketing based on customer preferences<\/li><li>Automating emails so they\u2019re sent when they\u2019re most likely to be read<\/li><li>Predicting which leads are most important and the quantity of sales in your pipeline<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Artificial intelligence tools for analytics<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The discipline in which AI is\nexpected to make the biggest splash is business intelligence and analytics.\nCollecting, cleaning, and analyzing data can be a taxing activity that gets\npushed to the side by small businesses because they simply don\u2019t have time for\nit. Hiring analysts at a startup is costly and entrepreneurs usually seem to\nhave more pressing issues than inputting data into a spreadsheet. Luckily, AI\nis expected to take over repetitive tasks like data cleaning or input at\nstartups over the next few years; it will even be able to take over a larger\nportion of a business\u2019 statistical analysis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Data collection is perhaps one of\nthe most tedious parts of analytics. Despite having much smaller amounts of\ndata than a large company, software startups are still able to draw key\nconclusions from what is available to them. Not only that, but startups can\nalso collect much greater amounts of data from the start using AI. Data\ngathering mechanisms like sentiment analysis or machine learning algorithms can\ntrack customer habits and produce massive amounts of data!<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Another important part of business intelligence is competitive analysis. AI can help you understand market trends and keep up with your competitors. As your company scales up, it can also help you identify new niches to address while retaining your existing customers. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.crayon.co\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Crayon (opens in a new tab)\">Crayon<\/a> is a company that tracks your competitors\u2019 data across a variety of digital channels; that data could be pricing adjustments, marketing language, or much more. Crayon also identifies and analyzes market trends to provide you with actionable insights to inform your strategic planning.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Google Analytics also boasts its own <a rel=\"noreferrer noopener\" aria-label=\"Analytics Intelligence (opens in a new tab)\" href=\"https:\/\/support.google.com\/analytics\/answer\/7347597?hl=en\" target=\"_blank\">Analytics Intelligence<\/a> feature that gathers SEO information and reviews key insights on your website\u2019s performance. <a rel=\"noreferrer noopener\" aria-label=\"Mentionlytics (opens in a new tab)\" href=\"https:\/\/www.mentionlytics.com\/\" target=\"_blank\">Mentionlytics<\/a> is an Ai-powered tool for tracking mentions of your business, your competitors, and the industry. <a rel=\"noreferrer noopener\" aria-label=\"Tellius (opens in a new tab)\" href=\"https:\/\/www.tellius.com\/\" target=\"_blank\">Tellius<\/a> analyzes your data and automatically makes intelligent discoveries, then you can ask it questions about the insights. <a rel=\"noreferrer noopener\" aria-label=\"IBM Cognos (opens in a new tab)\" href=\"https:\/\/www.ibm.com\/products\/cognos-analytics\" target=\"_blank\">IBM Cognos<\/a> is a cloud-based tool that makes it easier to visualize, analyze, and share business insights. Whatever process you want to get done quicker, there\u2019s sure to be an AI platform out there to help you out.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Programmatic advertising with AI<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Using AI for programmatic advertising allows your marketing campaign to target customers that are expected to be receptive to your message. This is made even simpler by advertising through AI-based platforms like Facebook or Google. By taking advantage of the artificial intelligence tools available to you, your business can gain exposure to the right audience without having to hire a whole marketing department. <a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/www.mckinsey.com\/featured-insights\/artificial-intelligence\/notes-from-the-ai-frontier-applications-and-value-of-deep-learning#part3\" target=\"_blank\">A report from McKinsey<\/a> found that the business areas most impacted by AI will be marketing &amp; sales, supply-chain management, and manufacturing. <a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/optinmonster.com\/\" target=\"_blank\">OptinMonster<\/a> is an AI-powered conversion optimization tool that lets you send your users personalized messages, conduct A\/B testing on your ideas, and more!<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Predictive analytics for recommendations<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Just like how many prominent\nonline stores make product recommendations to shoppers, startups can use\nmachine learning to forecast the demands of their users and make suggestions.\nThere are several platforms available that you can integrate into your online\nstore to generate relevant recommendations; this can convert casual customers\nor upsell loyal customers. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"http:\/\/analyticly.io\/\">Analyticly<\/a> is a platform that can do exactly this by making AI-driven recommendations on your Shopify ecommerce site that learn over time. They are a local startup company mentored by the Altitude Accelerator and their platform is simple to use even if you\u2019re not a data scientist. Using these recommendations, businesses are able to pleasantly surprise users with the exact product they want based on their behaviour.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Virtual assistant services<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Although it\u2019s already been said that you obviously won\u2019t be able to afford the robot assistant you\u2019ve dreamed of at the busiest of times, there are still several artificial intelligence tools that can provide human-like assistance to relieve you of some daily tasks that otherwise could be forgotten about. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Using <a href=\"https:\/\/x.ai\/\">X.ai<\/a>, you can cc a digital personal assistant in your emails and they will schedule a meeting with whoever you are talking to. <a href=\"https:\/\/firstagenda.com\/en\/\">FirstAgenda<\/a> helps record meeting minutes and identifies key words so you can easily go through a recording of the meeting later. You can even have content on your website written and optimized using <a href=\"https:\/\/www.atomicreach.com\/\">Atomic Reach<\/a>. It adds key words and sentences to your content that will get more of an emotional response from customers. Again, an AI tool to match whatever monotonous task you need some relief from is just a simple Google search away.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Deploying AI chatbots at startups<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">As much as you would love a personal\nassistant, your users could also use some help when navigating your website or\nplatform. Deploying chatbots using AI allows businesses with limited staff to\nappear involved with customers 24\/7. Chatbots are a way for customers to\nconverse with an intelligent computer program instead of busy employees. This\ncan often eliminate much of the need for outsourcing customer service\nrepresentatives so you can answer users\u2019 questions without a significant\ninvestment. It also creates highly efficient customer service that avoids human\nerror, retains customers, and maintains your reputability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/chatfuel.com\/\">Chatfuel<\/a> is the go-to platform for building a chatbot for Facebook Messenger while <a href=\"https:\/\/flowxo.com\/\">Flow XO<\/a> is an excellent platform where anyone can build a chatbot for a variety of platforms. <a href=\"https:\/\/nmodes.com\/\">nmodes<\/a> is a startup mentored by the Altitude Accelerator that builds chatbots and voice bots for your business that can converse with customers about their issues and close sales.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Artificial intelligence tools for hiring at startups<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Large companies have plenty of resources to network, recruit, and onboard new talent, making it hard for startups to compete in securing quality employees; AI can streamline and expand the hiring process so everyone has a fair shot. It can also identify which hiring practices worked best in the past, like where you found employees, how you reached out to them, or what kind of communication works best for them. Some AI programs discover people that seem like a good fit and collect information on their past work. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/vervoe.com\/\">Vervoe<\/a> is an AI tool that helps you screen candidates during the hiring process by testing them for certain skills and attitudes. <a href=\"https:\/\/goarya.com\/\">Arya<\/a> is another artificial intelligence tool that identifies top talent based by predicting which candidates perform this; it does so by learning from your current team and previous successful hires.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Build your own AI with open-source platforms<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">In the off chance that the inefficiency you\u2019ve\nidentified does not yet have a matching AI solution, you may consider building\nyour own AI program. This can even be an option when you are technically\nskilled and just want a solution that perfectly suits your situation. However,\ndeveloping your own AI obviously costs a lot of time and money. If a\nsophisticated AI program isn\u2019t a core competency of your business, it would not\nbe advisable to spend that much time building something from scratch.\nTherefore, using open-source platforms for creating your own AI program is the\nbest way to cut the costs of mastering AI yourself.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.tensorflow.org\/\">TensorFlow<\/a> is one of the most widely-used and\nwell-maintained machine learning frameworks out there. It is available in\nalmost all programming language and is used by several huge companies including\nUber, Twitter, and eBay. A variety of courses are available to teach you how to\nmake the most of the platform if you have a technical background. Some other\npopular platforms include <a href=\"https:\/\/keras.io\/\">Keras<\/a>, which is known for user-friendliness;\nand <a href=\"https:\/\/spark.apache.org\/mllib\/\">Spark\nMLlib<\/a>, which is designed for processing large\namounts of data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Some platforms can even enable those with no coding ability to build a custom machine learning model. <a href=\"https:\/\/lobe.ai\/\">Lobe<\/a> uses a simple visual mechanism to build, train, and implement a model that works with visual or audio data. Google\u2019s <a href=\"https:\/\/cloud.google.com\/automl\/\">Cloud AutoML<\/a> similarly allows users to conduct custom machine learning according to their needs, capable of working with images, natural language, and structured data. With <a href=\"https:\/\/www.datarobot.com\/lp\/ai-in-minutes-not-months-no-coding-required\/\">DataRobot<\/a>, users can create their own predictive models for data in minutes. With the advances in both off-the-shelf solutions and user-friendly platforms, AI is more accessible than ever before!<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"8steps\">8 key steps to learn how to use AI for startups<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">As complicated as AI technologies are themselves, implementing them across an organization of any size can be difficult for any team. It requires everyone involved to get on board and a lot of trial-and-error before things can be optimized. However, sticking with it through the struggles will pay off if it is implemented effectively.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. Identify a process<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The first step of any AI project at your startup is identifying which process could benefit from being supplemented by AI. After reading this article and learning a little more about what AI can do elsewhere, think about which inefficiencies in your day-to-day operations could be automated. For most startups that are just getting started with AI, a process that is currently manual and time-consuming is chosen. This is some simple task that greatly impacts the efficiency of your business process; a time sink that eats up your productivity. These processes often include data entry, fraud detection, or simple financial tasks. Overall, you want to find a process that makes everyone\u2019s life easier at your business, not something so advanced that it\u2019s replacing employees right away.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. Show the value of the artificial intelligence tools<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Before you get started with AI, you will want to make sure your chosen process can truly benefit from the AI services available. This can not only reassure you in your decision, but help other employees and stakeholders see value in the investment in AI. The way you measure the impact of a solution varies by process, but find a way to measure or predict the potential financial, time, and overall business impacts of AI. One common way to prioritize which AI solutions to pursue first is making a feasibility\/value matrix. This helps you compare how much value you\u2019re getting from a solution versus how much you\u2019re spending on implementing it.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/altitudeaccelerator.ca\/wp-content\/uploads\/2019\/12\/AIFeasibilityMatrix-1024x607.png\" alt=\"Evaluate feasibility and value when choosing AI for startups. Second step in how to use AI and implement artificial intelligence tools in software development\" class=\"wp-image-113099\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">3. Get buy-in from all stakeholders<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">An AI solution cannot be properly implemented\nwithout complete acceptance from everyone across the organization. This\nincludes staff, cofounders, the board of directors, and anyone else who will\nneed to interact with the technology or contribute to its funding. The first\npart of getting everyone on board is getting them to understand why and how AI\nis beneficial. This goes back to the previous section, as finding a way to\nquantify its impact goes a long way to convincing the skeptics. Stakeholders\nwill want to ensure that it won\u2019t be a waste of money so you need to identify\nwhere exactly the cost savings will come from. As you begin implementing it,\ncontinue to track time\/cost savings so everyone remains on board as the project\nprogresses.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Getting buy-in from employees requires the\nassurance that AI will make their lives easier. They may be skeptical that AI\ncould talk their job or add extra responsibilities to their current role. Show\nthem how AI will allow them to focus on the more important parts of their job\nand be more productive. Make sure to also show them what training will be\nrequired or how their roles will change upon implementation so they know they\nwill be able to handle it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Implementing AI requires an organizational culture that favours experimentation and data-driven decisions. If someone is afraid of the slightest signs of failure, they will likely shy away from continued use of AI. Using these solutions is very experimental and requires not only the employees to overcome a learning curve, but the algorithm itself. Therefore, the organization needs to be prepared to work with some imperfect technologies before they learn to perform optimally.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">4. Acknowledge the capability gap in your organization<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Although new AI platforms are making it more\naccessible than ever before to non-technical people, you still need some\ntechnical know-how at your business to implement solutions into your own\nplatform or software. Because of this, you need to identify who in your\norganization has some knowledge of working with AI and what abilities need to\nbe brought it. This obviously varies depending on what type of solutions you\nplan on working with or building, but you should always have someone on board\nthat can identify inefficient processes, manipulate your data, and analyze the\nfindings of AI analysis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI talent is hard to come by; the field is expanding much quicker than the talent pool and it\u2019s not very affordable for every startup to hire an expert. Unless sophisticated AI is your startup\u2019s core competency, you probably don\u2019t need to hire a team of machine learning specialists. The most cost-effective way to bring AI skills into your organization is by bringing in a part-time consultant or re-skilling the developers you already have. That\u2019s probably a lot safer than relying on an inexperienced AI <a href=\"https:\/\/altitudeaccelerator.ca\/startup-software-developer-internship\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"student  (opens in a new tab)\">student <\/a>to take care of it. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A study from Accenture shows that 97% of\nsurveyed CEOs plan to enhance their employees\u2019 capacities through AI, while\nonly 3% plan to invest in training or re-skilling for it. Leveraging the\nexisting technical skill on your team and just giving them new tools in their\ntoolbox could give you a big edge on the competition.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, as stated earlier, many of the simpler AI platforms available can be used by someone without coding skills at all. Many AI providers also work in a consultative way that assists you in implementing their services, so make sure of whether any advanced skills are required before you start investing in training your team in them.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">5. Identify, collect, and clean the required data<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The size and quality of the dataset being fed\ninto your AI solution plays a significant role in how successful it will be.\nBeyond identifying which data is required, there are several considerations to\nkeep in mind when managing data. First, you need to ensure you have access to\nthis data, as well as whether updated data will always be available. This means\nproviding everyone who needs to use the data with permission to access it and\ndetermining a method for having the data be constantly updated.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Internal data can often be separated between\ndifferent storage areas, created by different people, or kept in the hands of\nanother business. Wherever your data is, make sure the data you need is kept in\na centralized location so it can be cleaned, organized, and inputted\nconsistently. You also obviously need to check whether any parts of the data\nyou\u2019re inputting is incorrect or irrelevant. Lastly, keep track of where data\nwas collected from and who has access to it so you can keep that in mind for\nfuture use.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Organizing all of your data may seem like a burdensome task that comes along with implementing AI. However, once you have practise working with these technologies and have a firm system in place for collecting and cleaning data, this process can be done with ease.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">6. Run a pilot project to test the artificial intelligence tools<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">One way to tie together many of the ideas\ndiscussed so far is to run a small pilot project to make sure the AI solution\nis working as you\u2019d hoped. This helps show the value of the solution, keep\nemployees on board, and ensure you have the right data in place for a long-term\nscalable project. Pilot projects are typically 2 or 3 months long but can vary\nmore widely depending on scale. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Keep in mind the value you expected to gain\nfrom the solution when a process was identified and keep track of whether the\nactual project is keeping up with that prediction; it can help you make more\naccurate predictions for the next project. You should also measure the standard\ncost of the process when it is done manually so you can compare that to the\ncost of the process when it is automated by AI.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">During a pilot project, keep both the coders and business people involved. Coders can learn about implementing the AI and how well it is working while business people can start to draw conclusions from the results and figure out where else the business could benefit. At the completion of the project, analyze whether the AI implementation was effective and how it could be used and scaled long-term.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">7. Start small and slowly<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Implementing AI requires a lot of\nexperimentation, and often new skills to accompany new features. Implementing a\nlengthy collection of solutions at once can lead to disaster since it\u2019s\ndifficult to keep track of what\u2019s working and what\u2019s not when you\u2019re managing\nseveral parallel projects simultaneously. Therefore, it\u2019s important that your\nAI implementation starts off small and slow, leaving room for it to grow with\nthe company. When you\u2019re not yet sure what benefits AI will give you, you\ndefinitely should hold off on adding every cool tool you see.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Starting off small involves selecting one or\ntwo tasks that could benefit from AI and taking your time to track whether they\nare having a positive impact on your business. As you continue to tackle small\ntasks with AI, you will get a better idea of how much you are willing to invest\nin it. AI investment decisions should always be aligned with your business\u2019\ngoals; it\u2019s difficult to measure which solutions are contributing towards\nachieving those goals when you\u2019re adding five new projects at once.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When implementing AI at your startups, you need to have the data and skill set to support it. Starting small and slow lets you take simple steps to add skills to your team and work with the data you have. As the company grows and more resources can be poured into recruiting, training, and data science, the AI can be scaled up alongside the business. <\/p>\n\n\n\n<h3 class=\"wp-block-heading\">8. Get ready to grow<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">At a certain point, your business will be far\nmore comfortable with and capable of implementing AI solutions. Investing in\nscaling up your AI projects and adding more over time will incrementally\nincrease the value that AI brings to your business. However, you always need to\nbe prepared to technologically accommodate the AI system you plan to put in\nplace. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">One of the major infrastructural requirements\nof a growing AI department is storage space. The hardware you use should\naccommodate the bandwidth required for storage, graphics processing,\nnetworking, and more. To make sure you\u2019re well-prepared, consider hiring a\ntechnical consultant to help you through the business\u2019 transitional periods.\nAdding a sophisticated new algorithm is certainly part of growing your\ncompany\u2019s AI competencies, but with more AI comes the requirement for a larger\nvolume of data to build more accurate models and achieve more computing\nobjectives.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With such large amounts of data and knowledge in your hands as the company grows, security is key to keeping important information in-house. You should at least have the proper encryption method, virtual private network (VPN), and anti-malware software in place to ensure you are as safe as possible.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"support\">Learning about funding, support programs and AI implementation at startups<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Although the implementation of AI can lead to great cost and time savings in the long term, it does require you to overcome a bit of a learning curve and can be expensive to get started. Reach out to the <a rel=\"noreferrer noopener\" aria-label=\"Altitude Accelerator (opens in a new tab)\" href=\"https:\/\/altitudeaccelerator.ca\/register\/\" target=\"_blank\">Altitude Accelerator<\/a> for updates on informative <a rel=\"noreferrer noopener\" aria-label=\"events (opens in a new tab)\" href=\"https:\/\/altitudeaccelerator.ca\/events\/\" target=\"_blank\">events<\/a>, resources, or connections to funding sources as your company prepares to implement AI. RIC&rsquo;s experienced <a rel=\"noreferrer noopener\" aria-label=\"team of advisors (opens in a new tab)\" href=\"https:\/\/altitudeaccelerator.ca\/entrepreneur-and-innovation-hub\/team-advisors\/\" target=\"_blank\">team of advisors<\/a> have expertise in AI for startups. Here are some other resources to support AI projects at your startup.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"support\">Learn more about AI for startups and how to use AI in software projects<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Before implementing AI solutions, it\u2019s obviously very important to get familiar with the different applications of AI, what they do, what platforms they\u2019re available for, and how to implement them. There are several informative courses online, many of which are featured on the same websites where you can <a href=\"https:\/\/altitudeaccelerator.ca\/how-to-build-software-startup\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"learn to code yourself (opens in a new tab)\">learn to code yourself<\/a>. Some of the main websites to look to for help include:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/ai.google\/education\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Learn with Google AI<\/a><\/li><li><a href=\"https:\/\/www.linkedin.com\/learning\/artificial-intelligence-foundations-machine-learning\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">LinkedIn Learning<\/a><\/li><li><a href=\"https:\/\/www.udacity.com\/course\/ai-artificial-intelligence-nanodegree--nd898\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Udacity<\/a><\/li><li><a href=\"https:\/\/www.udemy.com\/artificial-intelligence-az\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Udemy<\/a><\/li><li><a href=\"https:\/\/www.coursera.org\/learn\/machine-learning?\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Coursera<\/a><\/li><li><a href=\"https:\/\/www.kaggle.com\/learn\/overview\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Kaggle Learn<\/a><\/li><li><a href=\"https:\/\/www.appliedaicourse.com\/course\/11\/Applied-Machine-learning-course\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Applied AI Course<\/a><\/li><li><a href=\"https:\/\/course.fast.ai\/ml\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Fast.ai machine learning for coders<\/a><\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">To read more about current research on the applications of AI across different industries, look no further than Stephen Hawking and Elon Musk&rsquo;s&nbsp;<a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/futureoflife.org\/\" target=\"_blank\">Future of Life Institute<\/a> and <a rel=\"noreferrer noopener\" href=\"https:\/\/openai.com\/\" target=\"_blank\">OpenAI<\/a>, an open industry and academia-wide deep learning initiative.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/www.nextcanada.com\/next-ai\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">NextAI<\/a> from NextCanada<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">NextAI is an accelerator for early stage AI-enabled startups. It is delivered in Montreal and Toronto and looks to help founders commercialize their AI research to build a global company. They provide technical and business education for founders and up to $200K in funding for your idea. Being a more AI-focused organization, this program is meant more for startups whose core technology is based around AI.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/www.canada.ca\/en\/services\/science\/innovation\/funding.html\" target=\"_blank\">Innovation Funding and Support<\/a> from the Government of Canada<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The Government of Canada of Canada offers connections to a wide range of financial plans, funding sources, and supportive facilities for both business and technology innovation at domestic businesses. This website allows you to search for programs that fit your business exactly based on your industry, the stage your business is at, what your goals are, and more. Search through the hundreds of available programs to find the ones that will benefit your business most and get your AI projects off the ground!<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/vectorinstitute.ai\/\" target=\"_blank\"><span style=\"text-decoration: underline;\">The Vector Institute<\/span><\/a><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The Vector Institute focuses on improving Canadian AI to foster economic growth and improve Canadian lives. They are a government funded, not-for-profit organization dedicated to research in the field of AI, excelling in machine and deep learning. The Vector Institute works with a broad range of startups to advance AI research and drive its commercialization across Canada.<\/p>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"case1\">Altitude Accelerator Case Study: Robyn Halbot from <a href=\"https:\/\/analyticly.io\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Analyticly (opens in a new tab)\">Analyticly<\/a><\/h3>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>Robyn&nbsp;Halbot&nbsp;is&nbsp;the cofounder of&nbsp;Analyticly,&nbsp;a supplier of AI-driven&nbsp;software&nbsp;that helps businesses with&nbsp;financial forecasting and Shopify product recommendations.&nbsp;She personally has a background in financial forecasting&nbsp;but&nbsp;plans to adapt her products to other industries in the future, including curated market intelligence. <\/p><p>Analyticly works with startups to replace the burden of creating financial formulas on spreadsheets with a machine learning (ML) model that makes advanced predictions to improve their forecasts. The business-user friendly platform allows even non-technical professionals to select, configure, and run models. With so much experience in helping startups implement AI into their business operations, Halbot sat down with us to give her advice about getting started.<\/p><p>She says that while enterprise companies possess the resources to have in-house developers explore and develop different options for AI, small or mid-level businesses should stick with platforms with built-in ML capabilities as an entry point. She clarifies that these smaller companies should start with ML as opposed to more advanced AI. Halbot views ML as an algorithm trained to make predictions while AI is able to learn and give you knowledge \u201con the fly.\u201d<\/p><p>At their outset, companies implementing ML should find a process with a defined outcome and try to streamline it. To do this, they need to establish the precedent for what good performance in that process means and use it as a baseline to compare against the ML-automated process. A statistical model should be created to measure whether ML is actually improving the process\u2019 efficiency. This also helps you communicate why there is a benefit to ML implementation to other stakeholders.<\/p><p>Halbot often finds that a company\u2019s biggest struggle isn\u2019t usually the use of AI, but rather the communication of its value. This communication is important because business people tend to care much more about the value added than the technology itself. The fact that value can be difficult to show early on makes this a struggle for many startup teams.<\/p><p>Halbot also admits that implementing AI can be costly up-front. However, process automation using another company\u2019s pre-made technology (like Analyticly) makes it more affordable for startups. She advises against getting into machine learning \u201cjust for the sake of it,\u201d seeing as its only beneficial when there is a specific inefficiency you\u2019re trying to address.<\/p><\/blockquote>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"case2\">Altitude Accelerator Case Study: Chris Houston from <a href=\"https:\/\/www.surfeasy.com\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"SurfEasy (opens in a new tab)\">SurfEasy<\/a><\/h3>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>Chris Houston\u202fwas\u202fthe CEO and founder of\u202fSurfEasy,\u202fa VPN service focused on security at large companies,\u202fwhich\u202fhas since been acquired twice.\u202fHouston\u202fnow\u202facts as the VP of mobile product development at Symantec,\u202fSurfEasy\u2019s\u202flatest acquirer. There he uses a pattern-recognizing machine learning technology to get rid of spam. By having an \u201cabuse module\u201d to inspect user traffic and patterns and take action against spam, employees don\u2019t have to look at any user data. As someone with a huge technical background, Houston was able to implement this system with the help of some more knowledgeable developers.<\/p><\/blockquote>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"startups\">Examples of how startups use AI from the <a href=\"https:\/\/www.ocediscovery.com\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"OCE Discovery Conference (opens in a new tab)\">OCE Discovery Conference<\/a> 2019<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">At the OCE Discovery Conference this past May in Toronto, hundreds\nof innovative new startups were showcased to thousands of conference attendees.\nBelow are some of the startups whose innovative applications of AI technology\nstood out.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pantonium.com\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Pantonium<\/a> is an on-demand public transit optimization platform. Their aim is to encourage an increase in&nbsp;public transit&nbsp;participation and a decrease in busses in circulation. Integrated with a city\u2019s public transit system, Pantonium uses proprietary algorithms to build schedules and routes on-demand for a variety of transportation operations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The <a href=\"https:\/\/www.thelucidproject.ca\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">LUCID<\/a> multisensory wellness station makes use of ML-powered sensors to play music for users based on their biometric data. The company aims to provide an immersive mental wellness solution for students, employees, healthcare providers, and beyond. At their outset of development, their team used the open-source AI platform TensorFlow to get their MVP off the ground. As their business continued to progress, they later created their own AI system.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/quantwavetech.com\/\" target=\"_blank\">QuantWave<\/a> is a real-time, AI-powered microfluidic sensing system. They aim to improve the quality and decrease the cost of industrial manufacturing processes. This technology is applicable across a variety of industries from food &amp; beverage, to pharmaceuticals, to cosmetics. One issue QuantWave found with developing their own AI was managing communication between front-end and back-end developers.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"takeaways\">Key takeaways on artificial intelligence tools and how to use AI at software startups<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li>Startups that are just getting started with AI should focus on using machine learning to automate a process that is currently time-consuming when done manually<\/li><li>AI is most easily implemented into your existing products and business operations when using the artificial intelligence tools available on enterprise software platforms or using other off-the-shelf pre-made solutions <\/li><li>Analytics and marketing seem to be the areas where AI will have the largest impact, but it is also useful in customer service, hiring, scheduling, and more<\/li><li>Start small and slow when implementing AI, only working on one or two processes at a time and giving the algorithms time to learn<\/li><li>Get organization-wide buy-in on AI implementations by using measured results to show its value and investing in employee AI training<\/li><li>Keep track of what data you need, where to get it, whether you have access to it, where to centralize it, whether you have the storage for it, and how you will secure it<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/altitudeaccelerator.ca\/create-software-development-techniques\/\">&lt;&#8211; Back to: \u00ab\u00a0How to Create Software: Development Techniques to Learn\u00a0\u00bb<\/a>   <\/p>\n","protected":false},"excerpt":{"rendered":"<p>This article is for: Software startup founders who want to learn the basis of AI for startups when considering how to use AI in their products. Artificial intelligence tools can&hellip; <a class=\"more-link\" href=\"https:\/\/altitudeaccelerator.ca\/fr\/ai-for-startups-how-to-use-ai-tools\/\">Poursuivre la lecture <span class=\"screen-reader-text\">AI for Startups: How to Use AI in your Software<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":11,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-138396","page","type-page","status-publish","hentry","entry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI for Startups: How to Use AI in your Software - Altitude Accelerator<\/title>\n<meta name=\"description\" content=\"Learn different artificial intelligence tools and how to use AI when developing a software product. 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