Pesquisa de mercado de aprendizagem profunda

For your business to grow, you must understand your customers.

Você precisa corresponder às expectativas deles e dar-lhes o melhor suporte possível. Então é aí que entra em jogo a necessidade de Deep Learning e pesquisa de mercado.

O que é aprendizagem profunda?

Existem várias maneiras de fazer uma máquina aprender um processo. O aprendizado profundo é um desses métodos. O conceito de Deep Learning também é conhecido como aprendizagem hierárquica ou aprendizagem estruturada profunda. Ao contrário dos outros processos, o método Deep Learning concentra-se nas representações de dados. Você pode supervisionar o processo de aprendizagem, ou pode ser não supervisionado ou semissupervisionado. Muitos campos e indústrias já aplicam algumas arquiteturas de Deep Learning, como redes neurais recorrentes, redes de crenças profundas e redes neurais profundas. Eles usam redes neurais para promover o aprendizado. Eles podem aprender tarefas complexas e processar muitos dados que não seriam possíveis para um ser humano.

O mercado está crescendo

Popular neural networks have around eight layers and 60 million parameters. The Deep Learning neural networks go up to 200 or 400 million settings. The great thing is that the market is growing. Businesses need Deep Learning to study business data, see problems, and identify solutions. Many companies are already accessing their benefits. Deep Learning continues to be very popular in the business world.

Benefícios de aprendizagem profunda

One of the main benefits of Deep Learning is that it transforms companies. Based on company data, it’s a lot easier to figure out what’s wrong, what customers expect, and what you need to change. The transformation process is comprehensive and meaningful. It can have a positive effect on your business. By studying company data, Deep Learning also allows markets to be more efficient. It helps a lot, and it delivers a resounding return on investment every time.

Muitas empresas estão usando Deep Learning para compreender os dados da empresa. Eles também o usam para atingir bases de clientes específicas. Muitas empresas também o utilizam para visão computacional, ajuste e otimização.

Como as empresas estão aplicando o Deep Learning?

The oil and gas industry uses Deep Learning to lower its extraction costs. This industry also uses it for locating, delivering, and processing the oil. The construction industry uses Deep Learning to create step-by-step project simulations. With deep learning, it’s easy for builders to see what can go wrong. Also, for cybersecurity, Deep Learning can improve the detection rate for malware. Social media, finance, transportation, healthcare, and many other industries use Deep Learning.

Deep learning will help you understand your business and uncover new opportunities. This method processes a vast amount of data. You can use this data to figure out what approach and system will work for you. You can generate new business opportunities. You may also see some challenges that can arise from your competition. Once you have all that info, you can start speaking to decision makers. They can analyze the data and recommend changes.

While information is everywhere, the main issue is finding the right insights. Companies also need to use data correctly. With help from SIS International, you will find it a lot easier to access deep learning and reach data scientists. You also get consumer research and many other services in a very affordable package. Don’t hesitate! Talk to SIS International today to harness the power of deep learning for your business.

Sobre pesquisa de mercado de aprendizagem profunda

SIS is a leading Global Market Research and Strategy Consulting company. We provide data, insights and strategies to gain advantage in today’s fast-paced business landscape.  With data and strategy, companies can better identify opportunities and advantages. Examples of our work include:

• Pesquisa qualitativa: Grupos focais com cientistas de dados e clientes
• Pesquisa quantitativa: Pesquisas e coleta de dados para algoritmos e processamento de dados
• Consultoria estratégica: Market Sizing, Go-To-Market Strategy, Technology Acquisition, and Competitive Analysis