How Startups Are Creating Disruption Using AI

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“Innovation and its implementation is the key to success” – Satya Nadella, CEO of Microsoft

Many industries are making expenditures in Artificial and Big Data and claim that these innovations can allow them to change themselves digitally. Through using data analytics and artificial intelligence skills, such as automated learning and decision-making based on those data, entrepreneurs in all industries can simplify their processes and automate them to boost their profitability.

Artificial Intelligence accounted for $12 billion in business investment in 2017, according to the latest IDC report. It is projected to expand to 57.6 billion dollars by 2021. The company has projected that by 2019 40% of digital ventures are focused on artificial intelligence. Furthermore by 2021 75% of the organization’s resources use this technology.

AI applications not only enable excellent organizational performance but also enhance human engagement as a whole.

AI is a new paradigm of computer science where computer systems are programmed to elucidate or replicate human activity behaviors. These features include the ability to read (to collect knowledge and to use those data), logic (to make educated inferences by following these rules), self-correction, interpretation of the language, and other intellectual skill.

Forms of AI technology

Here are some general definitions of AI technology that help to distinguish from some of the words behind the notion of AI. For example, robotic technology can use computer vision technology and the automation of processes robots can use natural language processing for customer service chatbots.


In the design and implementation of robotics, engineering was involved. This technology’s key benefit is that such robots can be used to carry out activities that are complicated or impractical according to human expectations.

Robotic process automation

The use of advanced computer algorithms or robots which automate and implement predictable, tedious, and high-volume tasks typically performed by human beings.

Machine Learning

The theory of computer systems carries out activities without relevant coding. Computers can predict future actions, trends, and effects without human interference by using existing data.

Natural language processing

It focused on how computer systems can be designed to analyze, view, and manipulate a vast volume of natural language data in the relationship between computers and human languages.

Machine vision

The science and technology of computer systems to include imagery-based Automatic camera evaluation and interpretation and virtual signal processing.

But which industries are implementing this technology? Which industries are leaders in AI use? Which industries are beginning to use AI and which ones are falling behind? How is AI being used in each industry?

Artificial Intelligence use in different business sectors

Here is how AI startups are creating disruptions in various business verticals:

Customer Support & Client services

Customer service in each industry is an important feature. With AI startups offering solutions like chatbots, consumers usually have become easier to entertain and to answer their questions on a limited number of people in real-time. AI-powered chatbots are developed to respond or to solve typical consumer problems.

In addition, another advantage of chatbots is that after a customer complaint is handled, the help desk can answer only relevant calls via chatbots.

Content Creation

The digital marketing business has benefitted from so many technologies to create, collect, and deliver content in the artificial intelligence industry, as in the other fields. Those tools use Big Data and NLP technology to generate productive and meaningful business content. AI tools and content creation applications are offered by several startups.

Retail and eCommerce

Retailers have often explored strategies to identify trends in the actions of users as a business environment, integrating their strategies to outsmart their rivals.

In the whole scheme of things, AI sure found a sweet place. The product ideas on your product buying account are nothing but an implementation of sophisticated AI algorithms in real-time for deciding which products you are most likely to purchase.

Retail and e-commerce AI is an industry that depends largely on automation in terms of the number of user details, inventory (in-store and online), sales prediction, and estimates.


AI is helping to simplify operations around the board from front desk workers in hospitals and CNAs, nurses, physicians, surgeons, and others in specialist fields.

Artificial intelligence through robotics is a high-level case in which surgery, including cardiac, colorectal, and chest-controlled AI-powerful bots are assisted. The use of robotics to support surgeons increases accuracy, decreases the chance of infection, decreased blood loss and discomfort, shorter hospital stays, and faster recovery times.

Electronic digital medical records were another useful advancement for patients and healthcare practitioners. The electronic healthcare record (EHR) technicians use AI to log, arrange, and store documents in digital terms, rather than nervous folder stacks of decades of health records held in the clinic’s database. This helps to reduce the time it takes EHRs to search into patient details and In fact, the virtual health record makes visiting patients on a shared online health network easier for them.

Banking and Financial Services

Because of the launch of AI implementations, the banking and financial sector is undergoing a major transition. In that space, AI uses a lot of cases. Smart robots for the handling of loan applications in fractions of a second are replaced by human agents in certain situations. Robo-financial analysts also scrutinize several data layers in split seconds and guide clients to make the correct investment decisions. These robotic advisors will also evaluate your social network, email, and other personal data in order to evaluate the markets and industries that are compatible with your long-term goals and needs.

In addition, AI-based chatbots are implemented in the insurance industry to enhance customer services and build customer information-based insurance policies and products. The use of AI-based applications often cuts the time required to review the claims substantially, which benefits both businesses and consumers.


Edtech, or instructional technology, uses technical tools to facilitate student learning and to optimize teacher activities.

It refers to the K-12 age groups, not middle school age groups. The days when parents had to focus on a compulsory one-on-one semester meeting with teachers of their students to see how excellently their children succeed in education. Parent-teacher seminars never lead to a five-minute hurried conversation without any data exchanged. There is now software available to manage appointments powered by AI so that teachers and parents can meet when it suits better for all parties.

Many classrooms have installed portable, tactile robots, with which students can communicate as teachers or tutors. These bots are also assisted by AI and help younger students read, study languages, and communicate with society. Robots also support kids with disabilities in learning critical social skills.

Marketing & Data Analytics

The Intuitive Search Ads of Google should be used to aggregate data, instead of wasting hours checking and running multiple headline and summary variations to assess the click-through rate. Google AdWords can offer several variations en masse that help advertisers refine the combinations of headline definition and expand the scope of potential customers.

For any AI marketing approach, data analytics powered by machine learning is important. Marketers swim in rich, useful client data from prospective clients, email contacts, random visits to the site, and others who register for one-off advertising platforms such as webinars.

Logistics and Transportation

The logistics and transport business is on the edge of a transition infused with AI. The use of machine learning and statistical analysis has already turned the management of the supply chain into an uncompromising process. For the sorting and packing of warehouses, several warehouses are using AI-driven robots. In addition, AI algorithms are now increasingly used to find the best way to ship and to enable distribution in the last miles.

Self-driving vehicles will probably be the next big factor in the transport industry. Through research and study in many countries are still in progress, AI-based automation can substitute manual driving and make road travel safer. The research is being led by Tesla, Uber, Volvo, and Volkswagen.


Manufacturers are becoming certainly aware of the key to profitability in the hyper-connected market, creativity in artificial intelligence, and the Internet of Things.

Machine learning and artificial neural networks are used in plants for the prediction of key industrial machinery, which can efficiently forecast a breakdown of the asset. It assists management in taking prompt steps to repair facilities and to avoid unplanned costly downtime.

AI algorithms are used to report possible output defects to manufacturing units that may lead to product quality problems in the quality management phase. Defects may involve process anomalies, slight system activity abnormalities, shifting raw materials, and so on.

Travel & Tourism

Many AI solutions are already used and more developed in the tourism industry. The most popular AI approach commonly used is the use of chatbots to provide information and assistance to travelers. In reality, 80% of travel assistants will be robots by 2020, according to a Travelzoo survey.

Other tools are now being built to make your traveling experience fully customized and agile. For example hotel reception robots; virtual sign-in and checkouts; guest identification systems for managing rooms and such facilities; virtual tourism guides; and predictive services to tailored trips and deals.

Real Estate

AI app in the real estate sector presents agents, brokers, and buyers with new possibilities. As agents become more effective and efficient, brokers become more strategic and customers feel motivated. AI-powered bots help brokers and agents find the right fit for people searching for their property to purchase, rent, or sell.

Entertainment and Gaming

AI allows software developers and marketers to define programs and services that they can promote to each person on the basis of their activities by joining the entertainment industry. It allows Amazon and Netflix to provide customers with a more customized experience.

In order to discover user behavior, machine learning algorithms are commonly used and are becoming increasingly intelligent overtime to decide whether a person wishes to buy a product himself or to make donations, even if family members have particular viewing habits.

In the film industry, AI works to create visual effects in films, save money, and speed up the process of pre-and post-production. For example, the NLP is used to structure a Storyboarding Script, or data is used to achieve an optimum shooting schedule.

In the music industry, big corporations like Apple and Spotify are introducing AI to identify the trends of service quality and to suggest the best music at the right time for the right users. In music production, a system composes real-time music in response to a live musician’s performances with AI-driven computer ensuing technology.

The game industry was one of AI’s innovators and has had a major impact on user experience. AI is used to control the actions of the non-player character (NPC), which play a major role in the development of a game’s plot in a certain direction, among other applications in gaming. The behavioral modeling of such identities powered by AI massively improves the gamer’s overall experience.


It is time for technology leaders in all industries to speak about how AI can be used to enhance profitability, efficiency, functionality, and even improve productivity in high profits. Artificial intelligence has been pushed into a global business by a fusion of influences. Furthermore, CIOs could implement it into their organizations to the growing list of potentially disruptive powers for commercial gain.

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