Top features of Cognitive Analytics Solutions

Cognitive analytics is a blend of data analysis and perceptual computing technologies that help people make wise decisions. Cognitive analytics allows users to configure human-like intelligence to different tasks , for instance, understanding not only the words from the text but perhaps the full meaning of the written or spoken content and also recognizing items among a lot of information in a picture. Some of the features are:

1. Adaptive
2. Contextual
3. Human Brain
4. Interactive
5. Iterative
6. Stateful

Top 10 Cognitive Analytics Solutions Vendors

The industry for cognitive analytics is extremely competitive due to the presence of many small as well as large players in the market offering domestic and international solutions. The market seems to be relatively focused moving towards the fragile stage with the key players developing strategies such as product and service creativity and strategic alliances to expand their operations and maintain a competitive edge. Some of the big players on the market are

1. IBM
2. MICROSOFT
3. Oracle
4. IPSOFT
5. NUANCE COMMUNICATIONS IVR
6. NOKIA
7. INTEL
8. CISCO SYSTEMS
9. HPE
10. PERSADO

Top 10 Cognitive Analytics Solutions Startups

Startups in any market come with a new product offering but the business expansion capacity is less. Startups tend to disrupt the market and try to acquire market share with new technology and new product offerings. Some of such startups are:

1. Cognitivescale
2. Digital Reasoning
3. Enterra aila
4. Sparkcognition
5. Next it
6. Nohold
7. Narrative science
8. Expert System
9. Sinequa
10. Decooda

Cognitive analytics is a combination of analytics and cognitive computing technologies which is used to help humans make smarter decisions. Cognitive analytics enables users to apply human-like intelligence to various tasks, for example, it understands not only the words in a text but the full context of the written or spoken material and also recognizes objects among a large amount of information in an image. Cognitive analytics utilizes varied technologies comprising Artificial Intelligence (AI), semantics, and learning techniques, such as machine learning and deep learning. Using these technologies and techniques, an application can get more effective and smarter over time, by learning from its interaction with humans and data.

Visionary leaders are the leading market players in terms of new developments such as product launches, innovative technologies, and the adoption of growth strategies. These players have a broad product offering that caters to most of the regions globally. Visionary leaders primarily focus on acquiring the leading market position through their strong financial capabilities and their well-established brand equity.

Dynamic Differentiators are established players with very strong business strategies. However, they have a weaker product portfolio compared to the visionary leaders. They generally focus only on a specific type of technology related to the product.

Innovators in the competitive leadership mapping are vendors that have demonstrated substantial product innovations as compared to their competitors. The companies have focused on product portfolios. However, they do not have very strong growth strategies for their overall business, when compared with the visionary leaders.

Emerging companies have niche product and service offerings. Their business strategies are not as strong as that of the established vendors. The emerging vendors include the new entrants in the market, emerging in terms of product portfolio and geographic reach, and require time to gain significant traction in the market.