AI Marketing invasion: a short outlook part
Neuron - Data Science and Artificial Intelligence | USP-RP
Grupo criado com o objetivo de difundir Data Science e Inteligencia Artificial
How is it being used??
In the Artificial Intelligence field, since corporations are looking for more efficiency and competitiveness, the market has been growing rapidly, impulsed, as well, by the launch of Chat GPT 3.0. The prospect is that the market value will enhance to approximately 20 times its size, reaching two trillion U.S. dollars, by 2030.?
Currently, those companies are using AI tools mainly for marketing, focused on social media. These apps, which can be found for free or with monthly subscriptions going up to US$ 12000, can be used to synthesize texts and captions, or to translate documents, being utilized, furthermore, to collect and save clients data, creating dashboards with those informations an enabling firms to make targeted campaigns.?
A quick glince at some tools
Jasper.ai is a content creation tool that, in addition to writing about the chosen topic, also facilitates the translation of articles into other languages, producing and reformulating texts faster and without plagiarism.
To facilitate the use of the platform, 50 writing models are available, such as video scripts or product descriptions, in which the software is already trained. After choosing the style to be produced, just type the theme, and the application promises to return a complete draft of the subject.
According to its creators, Jasper has already read 10% of the internet, which makes it possible to generate materials on different topics, and is also prepared by marketing professionals to create persuasive and original content.
Its main advantage is the integration of several tools and software, such as Surfer SEO, Grammarly and Copyscape Plagiarism Checker. With more than 100,000 users, including small and medium-sized businesses, Jasper.ia has plans starting at $39 for creators, along with custom packages for businesses.
A similar option is the SEO writing tool, Growthbar, which works for both research and content production. The site gathers data from platforms such as Google Ads Tool, contributing to the production of texts with greater reach and online performance.
The 3 monthly plans offered by the platform are divided into Standard, for US$29, Pro, for US$79, and Agency, for US$129.
It is a service that provides insights into the market and consumers by analyzing opinions on different platforms.
The service contains up-to-date and real-time consumer data, building insights through four steps:
With subscriptions available for small businesses and influencers, the service starts to be offered from US$750, becoming more expensive due to the customizations and personalizations offered to meet the needs of each client.
There are other similar options like Brand24, which in addition to offering a 14-day free trial, has an individual plan for US$79 per month, as well as a Pro, for US$199, and an Entreprise package, for US$399.
A chatbot is a computer program designed to simulate human conversations through chat interfaces. By utilizing Natural Language Processing (NLP) algorithms and AI, chatbots can comprehend written or spoken questions and commands and respond in a contextually relevant manner, resolving queries and providing requested information, as if they were a human attendant. They can be integrated into websites, messaging applications, and social media platforms. With the digital evolution, chatbots have emerged as an indispensable tool for companies aiming to cultivate relationships, reduce operational costs, and enhance responsiveness. They are employed to enhance the customer experience and augment operational efficiency by automating tasks and bolstering operational efficacy.
The utilization of chatbots can yield significant economic benefits for these companies. By automating tasks and enhancing customer service, chatbots can curtail operational expenses, such as the need to hire and train a team of attendants, while optimizing their workforce and allocating resources more efficiently, enabling employees to focus on more strategic and intricate tasks. Furthermore, chatbots can operate 24 hours a day, 7 days a week, offering uninterrupted customer support without additional costs for overtime.
There are multiple service providers that offer tailored solutions to meet the needs of each company. They provide platforms and tools that enable the development and implementation of chatbots in an easy and efficient manner. Among the main ones are Botpress, Chatfuel, IBM Watson Assistant, Customers.ai, and ManyChat, which stand out for their expertise in AI and knowledge in specific sectors.
Leading technology companies such as Amazon, Google, and IBM have invested significantly in research and development of chatbots and artificial intelligence in general. These investments aim to improve natural language understanding, enhance the responsiveness of chatbots, and refine their decision-making abilities. Although research costs can be high, the potential return on investment in terms of efficiency and customer satisfaction justifies these efforts for many companies.
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Therefore, there are chatbot platforms that offer affordable plans, some even free, with basic features for small-scale enterprises. Additionally, it is possible to utilize chatbots on popular communication channels such as WhatsApp and Facebook Messenger, which are widely used by customers. In this way, smaller companies can provide automated and efficient assistance, even without significant investments in technology.
Examples of usage:
Some examples of chatbot usage by companies include: customer service, where chatbots respond to frequently asked questions, provide technical support, record and confirm orders, and forward requests to the appropriate departments; marketing, where they can be integrated into marketing platforms to interact with users, provide information about products and services, make appointments and reservations, helping companies increase the reach of their marketing efforts and communicate in a more personalized manner with their target audience; task automation, as chatbots can be programmed to perform routine and repetitive tasks, such as updating customer information, generating reports, and scheduling meetings.
Companies that use them:
There are numerous examples of companies using chatbots in different sectors. Some examples include: Uber's chatbot, which allows users to request a car, obtain information about their trips, and make payments, all through a conversation in the messaging app; Sephora's chatbot, which provides makeup tips, recommends products, and helps customers find the right products for their needs; Banco do Brasil's chatbot, which provides information about balances, transactions, and banking services to its customers, as well as assisting in problem resolution and answering questions.
Although chatbots offer numerous advantages, they can also give rise to certain challenges. One of the primary hurdles is the difficulty chatbots encounter in comprehending the intricacies of human language, such as sarcasm, ambiguity, and slang. This can result in inappropriate or misinterpreted responses from users. Additionally, chatbots may struggle to provide personalized assistance, particularly when handling a high volume of requests, leading to a less satisfactory customer experience. Moreover, technical issues or technological failures can impede the performance of chatbots and cause disruptions in customer service. Data security is also a significant concern, as chatbots handle sensitive and confidential customer information. It is imperative for companies to be aware of these potential issues and work towards mitigating them through proper training of chatbots, constant monitoring, and user feedback.
Chatbots have become an indispensable tool for enhancing customer experience and optimizing internal processes within enterprises. With the continuous advancement of artificial intelligence and the evolution of chatbot solutions, it is expected that their usage will become even more prevalent and sophisticated in the future. However, it is vital for companies to take into account the challenges and issues associated with chatbot implementation and adopt a strategic approach to ensure their success. Through proper implementation, chatbots can serve as a potent addition to the array of technology.
Amazon Rekognition
It is common to know that companies have entered the most diverse means of technology to improve performance, reach new customers, internal and external control, among the several advantages of using technology today. Thus, a good example of technology that can bring improvements within companies is facial recognition, in particular, the Web Services of Amazon Rekognition, which captures characteristics of faces to identify people.
Faces are compared based on visual geometry, including the proportions between eyes, nose, eyebrows, mouth and other facial features. When images are analyzed by Amazon Rekognition, an outline is created around the face called a bounding box. It defines the only part of the image that Rekognition analyzes. After that, the analysis creates object notation numbers for the image, indicating the “location” of the main elements of the face. When customers perform a face search, the technology compares the original image data with each of the searched images. Through this, the service assigns a similarity score to each face in the image. This approach ensures that Amazon Rekognition does not retain any information about the person's identity, only the similarity calculation between one face and another.
In addition to capturing the face image, the company has been testing another layer of security to prevent fraud. Physical sales made on Amazon Go units have already adopted facial recognition. The customer arrives at the physical store, scans a code at the entrance and picks up the product. The charge is made automatically based on the data entered in the user's account after confirming the buyer's facial recognition.
The Amazon Go store allows visitors to choose their products and simply leave, thanks to its network of cameras, motion sensors and artificial intelligence platforms. These devices cover an area of 170 m2 of the store and track all customer movements. The system is able to identify whether a customer has picked up a product or put it back on the shelf, even if the objects have been handled in a confusing manner, such as being picked up with one hand and returned with the other. The experience of shopping on Amazon Go feels like the future of shopping, despite the sense of constant surveillance that can come with this technology.
Mastercard ID Check Mobile
MasterCard's Identity Check is an application that validates internet purchases through biometrics or selfies, with the aim of simplifying virtual purchases for MasterCard Pass holders. When making the purchase, the brand sends a notification to the customer registered in Identity Check Mobile, so that he can confirm the order through facial recognition or biometrics.
The use of the application has the following purpose:
The existing methods allow the consumer to prove his identity and can lead to abandonment of the merchant's website, when he needs to enter the password, as a large number of customers forget the password and have to go through a lot of bureaucracy to recover it. Thus, the application brings this practicality to both the consumer and the entrepreneur.
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