Enterprise Artificial Intelligence (AI) has had significant advances in the past couple years. Whether it be Alexa voice recognition or Facebook facial recognition it’s happening faster than anyone predicted. What does this mean for Enterprise Computing? This talk will focus on the three significant changes in neural networks, deep learning and the machine learning life cycle that have enabled these amazing leaps. Dr. Chou will show you how the next generation of enterprise analytics will be based on Artificial Intelligence and not Business Intelligence.
The World Economic Forum has said “In the next 10 years the Internet of Things revolution will dramatically alter manufacturing, energy, agriculture, transportation and other industrial sectors of the economy which, together, account for nearly two-thirds of the global GDP.” So what is the Internet of Things?
In this talk Dr. Chou presents a five-layer framework to help business and technical people understand the current and future state of the art in IoT software. Leaders will learn how technology will reshape enterprises that build machines and those that use machines
Dr. Chou will discuss how implementing an IoT strategy could easily double the revenues and quadruple the margins of any company that builds power, healthcare, agriculture, construction or transportation machines. Finally, precision machines promise to reshape our planet. Developing economies around the planet have the opportunity to leapfrog current solutions and build the farms of the future, or a distributed energy grid or a next generation healthcare system.
For those who are already beyond the “What is IoT” phase and fully aware of the technology the key to completing a digital transformation is the creation of a new generation of applications based on new business models. As machines become more software defined, we should learn a lesson from the business model in the software industry. The talk will discuss three fundamental revenue models and the application to the any enterprise that makes industrial or healthcare machines. We'll cover a number of case stories to illustrate the next step in IoT. Finally, I'll discuss a specific case how connecting millions of machines might not only change business models, but also the world.
The talk begins by giving an introduction to five technologies: 5G, IoT, AI, Cloud computing and the edge This is an introduction for non-technologists. While technology is cool the second part of the talk discusses how enterprises around the world are using the technology as well as the fundamental impact it will have on their business models. This will be done with eight case stories. Lastly, we'll discuss the implications on the planet and how technology might reshape 2/3 of the world's economy.
This talk will not show you videos of the earth being reshaped by volcanic activity; nor any charts of how much the Fortune 500 has changed in the past twenty years and certainly no slides with Blockbuster and Netflix logos. Instead we’ll focus on five essential themes any enterprise from financial services to manufacturers or users of healthcare, construction, transportation or industrial printing machines should consider in their future plans.
As 90+% of the US economy and a growing percentage of the global economy is service, you should realize service is not break-fix, but personal and relevant information delivered by software. Analytics is not a by-product of business workflow applications it is the business. Second, the digital enterprise will be a connected enterprise. While of course we all use email and text, you’d be surprised how much of healthcare is isolated islands of people, information and machines. A connected, collaborative enterprise provides the perfect entry point for next generation neural network-based enterprise AI applications. The applications could include fraud detection, crop blight detection and medical image diagnostics. Today there are fewer than 3,000 pediatric radiologists on the planet. Imagine how pediatric healthcare could be transformed if we could create AI doctors available at a moment’s notice, globally.
While AI, 5G, edge and cloud computing are all very cool the fourth major transformation is not technology, rather business models. We’re already seeing the beginnings of the transformation of the automotive world by Uber, Didi and Lyft. In a connected autonomous world, you’d never own a car. We’ll discuss three powerful business models to get you started. Finally, we’ll talk about how to fund all of this. While technology companies can bring lots of cool ideas, how can you afford to fund the digital transformation?
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