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Artificial intelligence for every business
Artificial Intelligence

Artificial intelligence for every business

November 4, 2019

As Artificial Intelligence gains momentum propelling technology into the next big revolution of mankind, Digital Workforce joins humans in their work space. AI leverages the best of the intelligent technology and the best of human ingenuity.

Until now, technology was used to automate, improve the efficiency and streamline the processes according to human command. With AI Systems, now technology can see, listen, interpret, speak, learn and help humans cross their intellectual limitations and elevate business to new heights.

The speed with which AI can penetrate into the mainstream technological arena emphasizes the need for Businesses to build AI capabilities around their enterprise applications and solve the problems they face in making the business efficient and profitable.

ERP, CRM and Traditional workforce are here to stay

Today's business largely relies on ERP & CRM to carry on their operations. Shifting our focus to AI doesn't mean ERP, CRM & the traditional workforce would loose their relevance. ERP, CRM & traditional workforce are here to stay. Businesses should build AI capabilities around ERP & CRM Systems to stay competent in the digital era. APIs play a major role in our quest to make our systems intelligent by integrating Enterprise applications with the leading AI Solution providers. Now the important question to be answered is, whether the Enterprise applications are API ready?

Implementation of leading API management platforms comes with heavy weight components and at a high cost. Even after successful implementation, maintenance remains a challenge in terms of resource availability. Adopting lean custom built API management platforms will help enterprises overcome this.

Challenges in Building AI Capabilities for Enterprises

  • 1. Implementation Challenges
  • 2. Integrating AI into the company's roles and functions
  • 3. Data issues like cyber security vulnerabilities
  • 4. Cost of AI Solution development
  • 5. Challenges in measuring & proving business values of AI solutions

AI adoption strategy

Early adopters should have well crafted strategy to maximize success in their AI journey. This will justify enterprises to further invest in AI solution and to scale it.

In enterprises most of the AI initiatives are stopped either at exploration or at prototyping stage due changing priorities. But the benefit can be reaped only after the solutions are institutionalized. Partnering with AI specialized startups/organisations will help enterprises to go beyond institutionalizing their solutions and create new business models.

The beginning of a new era

In short term AI can boost revenue, improve efficiency and open up new lines of operations. In the long run, it can make businesses sustainable and increase relevance by providing targeted focus on individual customers. Coupling human & machine intelligence would improve precision, accuracy of prediction, value addition, personalized recommendations for improved customer satisfaction and last but not the least, bring in growth.

Reach out to us reachus@cogniwide.com to overcome these challenges through our consultation, Solutioning and Implementation of AI solutions & API management platform for your enterprise.

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