AYASDI in Artificial Intelligence Platform

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Ayasdi USP

Ayasdi partnered with Deloitte to launch its AI platform in the healthcare and financial sectors. Both firms worked to expand AI use across a variety of industries. Ayasdi also takes advantage of Deloitte's skills in cognitive and other new technologies for business application discovery. Furthermore, Ayasdi is believed to be seeing tremendous growth in its healthcare vertical, and the company has added to its healthcare employees to meet the increased demand. The new hires will help the company improve its position in critical analytical issues for its products, such as patient risk stratification and fraud, clinical variation, and denials management.

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Ayasdi works with companies all over the world to help them use Artificial Intelligence and Big Data to increase employee productivity hundreds of times and drive fundamental breakthroughs that are beyond human capabilities. Their ground-breaking machine intelligence platform combines automation, machine learning, and topological data analysis to make extracting knowledge from even the largest and most complex data sets as simple as possible, as well as enabling the deployment of intelligent, AI-based applications across the enterprise.


AyasdiAI demo can be requested by connecting with support. Users must give the right credentials and can schedule a demo at the appropriate time. Users can see real-time functionalities of the tool, discuss business-specific challenges and ask general questions about effective use. Users can refer to the company website for a demo https://www.ayasdi.com/request-a-demo/


Detailed pricing for AyasdiAI has not been disclosed, but it is in line with leading competitors in the market. Most software companies and vendors require you to contact them with details so they can offer competitive personalized pricing based on your needs. For the best pricing plans, contact the vendor. 


The Ayasdi AI platform is used by a variety of industries, including finance, government, and scientific institutions, to automate manual processes and handle challenging data analytics problems.

To provide better efficiency to its customers, the Ayasdi platform combines big data infrastructure and scalable computing.

Application framework, intelligence, and enterprise-scale are the three primary components of the Ayasdi AI platform. It also comes with a diverse collection of AI tools, including statistical and geometric algorithms, machine learning, and topological data analysis.

The platform's core set of enterprise-scale helps solve a variety of business challenges, and its intelligence aids in the discovery of patterns in data and the development of application frameworks tailored to specific business needs.

AyasdiAI provides extensive skills across a wide range of unsupervised, semi-supervised, and fully supervised intelligence. It's a tried-and-true method for identifying risk, opportunity, and competitive value in high-dimensional, incomplete, and noisy data. As a result, there is a significant increase in openness at a very low cost.

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    Solutions Offered
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    No. of Innovations
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    R&D Spend
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    Brand Recognition
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    Customer testimonials
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    Managed Services
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    Professional Services
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    New Product Launches
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    Product Upgradation
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    Full Time Equivalent
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    Machine Learning
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    Medium sized enterprises
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    Natural Language Processing
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    Small Enterprise (Revenue< 100 Million)
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    Subscription / Licensing
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    Artificial creativity
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Ayasdi Presence in Artificial Intelligence Platform
Ayasdi introduced its AI platform in the healthcare and financial sectors by partnering with Deloitte. Both the companies worked to increase the adoption of AI across various enterprises. Additionally, Ayasdi benefits from Deloitte’s capabilities in cognitive as well as the other emerging technologies for discovering business applications. Moreover, Ayasdi is said to be experiencing a rapid growth in its healthcare vertical, and to cater to the growing demand, the company has made additions to its healthcare staff.The addition of the staff would be useful in increasing the company’s place in key analytical challenges for its solutions, such as patient risk stratification and fraud, clinical variation, and denials management.
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