Data & Intelligence

Moving from Narrow AI to Artificial General Intelligence

Artificial General Intelligence can solve multidisciplinary problems

Microsoft’s investment of $1 billion in OpenAI to build Artificial General Intelligence (AGI) shows a market trend moving towards the next phase of AI. While this has economic benefits of scale, AGI is only possible if software and hardware work together in perfect harmony. In the last decade, the general AI community has been very focused on narrow AI capabilities. But now we’re seeing how AGI can solve multi-disciplinary problems, personalize solutions, and perform multiple tasks with the same platform at a scale that will be much more efficient than humans. We’ll see this especially in more intelligent industries such as healthcare and manufacturing.

Data Intelligence - The Future of Big Data
The Future of Big Data

With some guidance, you can craft a data platform that is right for your organization’s needs and gets the most return from your data capital.

Get the Guide

Check out this video below where I explain the types of AI if you want to go to more details.

As OpenAI stated, “Each year since 2012, the world has seen a new step function advance in AI capabilities. Though these advances are across very different fields like vision (2012), simple video games (2013), machine translation (2014), complex board games (2015), speech synthesis (2016), image generation (2017), robotic control (2018), and writing text (2019), they are all powered by the same approach: innovative applications of deep neural networks coupled with increasing computational power. ”

After my experience in Inspire 2019, I had two key takeaways from Microsoft: Democratize AI and Cloud is the world’s biggest computer. This investment in OpenAI clearly drives Microsoft in that direction and dream. In addition, AGI could also build workflows using augmented reality which may be a way that humans communicate with each other in the future. AGI is a very tough proposition to build and countries such as China and USA are going to be the leaders in bringing that capability mainstream to general public to perform better. Perficient has been working with Microsoft and several of our key customers building Modern Azure Data Platform and we are excited for this vision.

About the Author

Arvind Murali is the Chief Data Strategist for Data Governance with Perficient. His role includes defining data strategy and governance to deliver transformative data platforms. Arvind has served as an executive advisor for data strategy and governance to organizations across several industries. Arvind’s dedication to solving challenges and identifying new opportunities has provided valuable business-focused results for clients, such as providing self-service access to data for global sales teams; helping physicians create informed wellness plans; and delivering insights about current supply chain inventories. He is a passionate Vlogger on YouTube and discusses real-world insights, data platform trends, and the importance of governance as big data continues its exponential growth.

More from this Author

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Subscribe to the Weekly Blog Digest:

Sign Up