5 Reasons Why AI Developers Can Help Small Businesses


AI is an incredible technology that has revitalized industries and made more innovations possible than ever before imagined. Through AI, analysis and patterning are possible at speeds never thought of and with untold accuracy. 

AI has already made outstanding strides in analyzing large data sets that are comprised of petabytes of data that take human researchers years to go through. Instead of going through the painstaking process of doing this research by hand medical researchers have found that using AI allows them to quickly go through these large data sets with precision and intelligence. AI is already commonly used for its pattern recognition in manufacturing and finance as AI will quickly find patterns before professionals are even finished reading the data. 

Surprisingly, small business owners represent a large portion of those who would benefit the most from AI integration. AI can take the mundanity and tedium out of the necessities of running an eCommerce shop. 

Revolving inventory, monitoring shipping, and organizing the supply chain are all issues that small business owners face daily. AI can reduce this workload tremendously by using automation to intelligently organize tasks and execute them in sequence. As technology continues to expand, the applications of AI for the eCommerce industry continues to adapt to the changing needs of the emerging global economy. 

Improve mobile app development and user experience

One of the AI benefits is improving mobile app development and user experience by analyzing large bits of data to provide insights into the users’ behavior. Although the integration of AI with the mobile app is still in the early stage, in the near future hiring mobile app developers should take into consideration this aspect as well in order for companies to select the best candidates.

AI is already benefiting big data which is, in turn, helping the AI industry by providing massive data sets that need bots to manage them. 

This flow of data and technology leads to a better big data industry that is filled with higher quality data and more useful information. The bots used to filter and retrieve the data also help to expand the greater application of AI in the mainstream. 

An open-source future

Truly deep AI will need developers and innovators if it ever hopes to be fully realized. Luckily, companies like Google offer AI APIs that allow developers to create AI apps and technologies regardless of skill level. Google also offers neural nets to developers to expand the functionality of their AI and allow developers to build onto a serious AI project. 

Then there are the open-source AI options, like Open AI, which allow developers around the world to develop great AI apps without sinking heavy costs. The open-source platform allows users to build AI engines together, making them more varied and accessible. 

AI will allow developers and scientists to complete tasks and research in a fraction of the time it used to take with traditional automation systems. Google’s 54-qubit processor is an example of a true future technology being recognized today. This processor would allow AI to find solutions and data so quickly that it would be difficult to comprehend. This revolution in processing speed would mean that an incredible amount of projects and technologies would finally be able to be produced. 

Many of the technologies we envision for advanced AI are locked behind the concrete development of mass quantum computing. Deep AI isn’t far away because many of the largest developers today are already making great strides toward reaching the end goal of “true” AI. 

Optimal sales strategies

This effectively automated the process of reaching out to new audiences and assisting them on their way to becoming new customers. 

HubSpot and Hootsuite are some of the more prolific all in one marketing tools that utilize AI to the fullest by executing timed and focused advertising campaigns via email and social media through the power of automation.

Supply chains could be overhauled

Supply chain businesses should also look into integrating AI into their functions as supply chain automation can dramatically improve efficiency while reducing costs. Supply chains are typically inundated with menial tasks and hundreds of data points that must be entered correctly or risk causing mass disruption. 

A good example is ElementAI and PulseAI companies which both focus on creating supply chains that make sense and are risk-averse. Using these platforms can help any business that deals with inventory operate at a higher level without the fear of errant human error or mysterious inefficiencies. 

Customer service

Chatbots can be used to handle customer service directly with apps that can be loaded onto any storefront to deal with customers consistently and courteously. On social media, chatbots can be used to reach out to audiences with targeted ads and messages that can influence potential customers to go to your site. 

Apps like Slack and Trello use automation and AI to keep teams well organized and communicative without requiring constant physical communication. This makes teams agile and informed without requiring people to disrupt their working patterns and natural management flow. The same technology can be applied to the customer service side as well as AI is used to power the chatbots used by the biggest companies today. 

Looking to the future, AI is being developed in conjunction with quantum computing to achieve results never thought possible before. As quantum computing grows in exposure and popularity the applications for AI will continue to grow, expanding what is already a remarkable advancement in the industry. 

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