Solutions
Build diverse analytical solutions without the need for programming
Solutions based on Somma.ai
Explore Somma.ai’s endless applications. Choose the category you are interested in:
Marketing
Sales
Customer Service
Data
Finance, legal and compliance
Human Resources
Operations
Safety, environment and health
Would you like to know more about how Somma.ai can add value and intelligence to your business?
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Financial services
This sector has undergone a rapid and profound process of transformation. The emergence and consolidation of fintechs, open banking, decentralized finance, the modernization of means of payment, the new generations of consumers (millennials and generation Z), among other changes, make the efficient use of data for knowledge extraction, decision making, customer service 24/7 and for automating processes that are vital for companies in the sector.
Possible applications with Somma.ai:
Anti-money laundering, fraud detection, Know Your Customer (KYC), credit scoring, credit recovery, intrusion detection, churn prediction, insurance qualification, customer segmentation, auto-complete registration, automatic signature recognition, recommendation of products and services, among others.
Health
Health services require multidisciplinary teams and highly specialized actions to meet the demands and needs of the population, whether in prevention, diagnosis or treatment. As in any sector of the economy, management efficiency, optimizing the use of human and material resources and productivity are also essential in this sector. Furthermore, the COVID-19 pandemic has brought a new perspective and rapid transformation, digitization and growth, anchored mainly in data.
Possible applications with Somma.ai:
Patient journey prediction, medical diagnosis support, automatic analysis of exams, drug or beauty product design, hospital management support, treatment customization, automatic analysis of medical records, identification of fraud and losses, identification of risk factors, churn and fraud prediction, and others.
Retail
Retailing is a vital business activity in any economy, providing consumers with the opportunity to purchase goods and services of different types. On the consumer side, the demand for convenience, efficiency and reliability has increased. This search for convenience gave rise to the retail of services or Retail as a Service (RaaS), which means the efficient availability of the product to the consumer made possible by services that involve the analysis of available options, the choice of products, purchase, payment, logistics, after-sales service and product collection for recycling.
Possible applications with Somma.ai:
Recommendation systems, personalization of the consumer (user) experience, customer segmentation, fraud detection, analysis and improvement of service quality, churn prediction, identification of consumer profiles, targeted campaigns, inventory management, consumers, and others.
Logistics and supply chain
Convenience for the consumer in the consumption of services and products is only possible with efficient logistics, that is, with the delivery of the correct product and service, at the required location, in a sustainable, profitable and competitive manner against the competition. Furthermore, avoiding stockouts (product shortages) at points of sale without excess stock, requires good planning. These are challenges that high-impact AI solutions can count on.
Possible applications with Somma.ai:
Demand prediction, delivery failure prediction, vehicle driving style and risk assessment, driver evaluation, transport operational cost optimization, inventory optimization, vehicle failure prediction, routing optimization among others.
Manufacturing
Producing with energy and operational efficiency, increasing productivity and safety, with fewer emissions, is high on the agenda of any discrete and continuous processing industry. Achieving such broad goals without good demand and input planning (inbound and outbound logistics), elimination of losses (lean), focus and discipline on safety, quality control and process, among others, without the use of data and of AI is almost impossible.
Possible applications with Somma.ai:
Prediction of demand and consumption of materials, prediction of failures in equipment and systems, prediction, evaluation and control of production quality, safety assessment at work, among others.
Energy
Efficiently generate, transmit and distribute with as little loss as possible. This requires optimizing your own energy consumption, using reliable equipment and anticipating problems that can cause losses and interruptions in supply. The energy sector plays a fundamental role in society being the basis of the economy, but it is capital intensive and has supply targets that are constantly monitored. Such importance and responsibility make data and AI extremely important to the industry.
Consumption and generation forecasts, mainly in photovoltaic, wind and solar generation, anomalies and failures detection aimed at reducing operating costs and interruptions in supply, evaluation of the status of equipment or plants, among others.
Oil and gas
Within the energy sector, the oil and gas segment has specific characteristics and demands. This is a segment with a high own consumption of the energy generated and with a high potential for impact on the environment caused by failures in existing equipment and plants throughout the value chain, from production, through primary processing, through transportation, and refining to distribution. For a segment that will still be responsible for the largest share of energy consumed on the planet in the coming decades, efficiency in energy consumption, increasing system reliability and reducing emissions and operating costs through the data and knowledge extracted from them will be vital.
Possible applications with Somma.ai:
Prediction of equipment anomalies and failures, evaluation of subsea structures and oil spills by images, evaluation of reservoirs, parameters and performance of operations, optimization of offshore logistics, optimization of plant maintenance, decision support in situations of uncertainty, among others.
Services aimed at human resources
One of the main pillars of a company's competitive differentiation is its intellectual capital, which results from its strategies, programs and activities to attract, develop and retain talent. In most companies, some activities that make up the management of these resources are outsourced to companies that provide products, services and solutions for the operation of the personnel department, recruitment, selection, development and retention of employees. Whether performed in-house or outsourced, human resources activities and decisions have much to gain from AI.
Possible applications with Somma.ai
Turnover prediction, identification of behavioral aspects (temperament, personality traits, emotional states, etc.), performance monitoring, prediction of progression and career plans, cultural alignment, automation of recruitment and selection processes, recommendation of vacancies for candidates and vice versa, and others.
Let's talk about how Somma.ai can help you make your life easier and value your data!
Line managers, team leaders, business analysts and coordinators not specialized in data science, programming and AI.
It is not just the CIO, CTO, CDO, engineers and data scientists, programmers and experts who must understand the importance of data, the knowledge they embody and the methods and techniques that enable the extraction of this knowledge. An efficient D&A (Data & Analytics) strategy involves preparing the entire company for this understanding, that is, it fosters a data culture, which requires powerful tools that allow the extraction, transformation, storage, manipulation via AI and visualization of data. Data and processing results, autonomously, by those who are in charge of the day-to-day problems of the company.
Why Somma.ai?
Somma.ai is the first Big Data Analytics platform designed and built entirely in Latin America, which aims to enable the agile, inexpensive and scalable development of data-based solutions. With Somma.ai it is possible to build analytical applications quickly and without the need for coding, allowing an effective digitization and construction of a data-driven culture. Thus, Somma.ai allows the company to extract the greatest possible value from the available data, facilitating management, reducing costs and risks.
Data Analyst
The data analyst's main role is to transform data into actionable insights for the company, converting raw data into stories to be told and used by leaders for decision making. Its tasks include data recovery (gathering) and cleaning, building reports and analytical dashboards, and proposing answers or solving problems for the business areas. Their technical skills typically include descriptive and inferential statistics, data manipulation and visualization software such as spreadsheets, dashboard tools, and analytical platforms.
Why Somma.ai?
Currently, there are data analysts working in the most varied sectors of a company, from planning to operation. These analysts are more focused on gaining insights, creating and tracking indicators, leaving the programming tasks to developers and scientists. Somma.ai is a low/no code platform ideal for data analysts, as it allows the construction of flow-based applications, not requiring the coding of specific routines, only the construction of data flows using native components of the platform. Thus, the Somma.ai platform allows analysts to perform their work autonomously and completely, delivering all the demands of the area in a simple, fast and assertive way.
Data scientist
The data scientist uses the scientific method to analyze and extract knowledge from structured and unstructured data, applying the results in different areas of the company. His skills combine knowledge in computer science, including programming, software and infrastructure engineering, mathematics and statistics. He needs to be able to collect data, prepare and analyze it to extract value for the business.
Why Somma.ai?
The data scientist typically has a deep understanding of programming and databases (e.g. Python, R, C, C++, SQL, MongoDB, etc.) and analytical frameworks (Scikit Learn, Tensor Flow, Keras, Spark, etc.) that allows him to build sophisticated analytical solutions for the enterprise. Somma.ai simplifies the data scientist's work by encapsulating many of these frameworks, which can be useful both in the ETL (Extraction, Treatment and Load) stage, as well as in the analysis itself. In addition to the platform's native components, Somma.ai allows the development of customized components, significantly expanding the work capacity of scientists and operating as a marketplace for the company's own analytical applications.
