Artificial Intelligence: Path to Nirvana?

I think of Artificial Intelligence (AI) as an umbrella term that includes Machine Learning (ML), Natural Language Processing (NLP) and Robotics. The evolution of AI is progressing rapidly causing AI implementations to have a profound impact to enterprises in 2019. See how the projected implementation/deployment rates have increased from 2018 to 2019 in the slides below.

The positive adoption rates for AI is impressive. Enterprise AI implementations will impact:

•  Workforce Training offering new opportunities in data tagging and model interpretation   

•  Personalization and Monetization strategies for businesses

•  Data Management and Enterprise Infrastructure strategies.

Humans and machines will experience a greater collective intelligence as organizations integrate AI with workforce supervision into existing and future strategies. AI models must be interpretable – so that we can we can trust the predictions leveraged from the models. AI will drive new business strategies, accelerate product adoption, and enhance customer relationships that will drive business value. Organizations must create and execute infrastructure strategies that will support the AI projects.

Convergence of legacy systems, modern technologies (IOT, AI, ML, NLP, etc) will necessitate clear data management, data tagging, cloud, SDN, security and infrastructure strategies for enterprises to be successful. A strong partnership strategy with leading IAAS, SAAS, PAAS, SD-WAN, & SDN providers will position organizations to leverage legacy systems & data silos with modern infrastructure solutions. Nirvana will be when organizations will be able to:

• Eliminate silos’
• Glean the insights from its enterprise data and disparate systems
• Drive to agile corporate strategies
• Quickly increase business outcomes and drive market leadership
• Deliver increased shareholder value

I believe we are on the path to Nirvana today!

Sources: 

Innovations in Finance with Machine Learning, Big Data and Artificial Intelligence

2019 AI Predictions Six AI priorities you can’t afford to ignore