Investigación de mercado de aprendizaje profundo

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

Debe cumplir con sus expectativas y brindarles el mejor apoyo posible. Ahí es donde entra en juego la necesidad de aprendizaje profundo e investigación de mercado.

¿Qué es el aprendizaje profundo?

Hay varias formas de hacer que una máquina aprenda un proceso. El aprendizaje profundo es uno de estos métodos. El concepto de Deep Learning también se conoce como aprendizaje jerárquico o aprendizaje profundo estructurado. A diferencia de otros procesos, el método Deep Learning se centra en representaciones de datos. Puede supervisar el proceso de aprendizaje, o puede ser no supervisado o semisupervisado. Muchos campos e industrias ya aplican algunas arquitecturas de aprendizaje profundo, como redes neuronales recurrentes, redes de creencias profundas y redes neuronales profundas. Utilizan redes neuronales para promover el aprendizaje. Pueden aprender tareas complejas y procesar muchos datos que no serían posibles para un humano.

El mercado está creciendo

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.

Beneficios del aprendizaje profundo

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.

Muchas empresas utilizan el aprendizaje profundo para comprender los datos de la empresa. También lo utilizan para dirigirse a bases de clientes específicas. Muchas empresas también lo utilizan para visión, ajuste y optimización por computadora.

¿Cómo están aplicando las empresas el aprendizaje profundo?

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.

Acerca de la investigación de mercado de aprendizaje profundo

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:

• Investigación cualitativa: Grupos focales con científicos de datos y clientes
• Investigación cuantitativa: Encuestas y recopilación de datos para algoritmos y procesamiento de datos.
• Consultoría estratégica: Market Sizing, Go-To-Market Strategy, Technology Acquisition, and Competitive Analysis