AI and Analytics Prepare for computational demands of next-generation AI applications
There was a session on AI and Analytics – Preparing for IT Demands for Next Generation AI Applications, at India Mobile Congress 2021. Attendees were: Xavier Kuriyan, Director Solutions and Alliances, Global Compute and Network, India, Dell Technologies, Bill Wright, Head of AI / ML and Intelligent Edge, Global Industries and Accounts, Red Hat, and Dr. Shailesh Kumar, Chief Data Scientist & Head AI COE, Reliance Jio. Sachin Arora, Partner, KPMG, was the moderator.
Dr Shailesh Kumar, Reliance Jio said that we have seen algorithmic growth in AI etc. We now take stock and move forward. We must review the fundamentals. Deep learning is everywhere. In the next 20 years, we will be reinventing AI. They will add social use cases, such as education, farming, etc. Until it reaches the masses, AI will not be considered successful. A lot of work is being done to find the right use cases. In the field of health, we develop health bulletins. Accurate and timely diagnosis is important, and how can AI help. Genomics is another area. For farmers, we need answers regarding crops, weather, etc., using AI. In education, we need to personalize education for every child using AI.
Today, we are masters in the art of deploying large models. We now need individual APIs. We need to re-imagine the operating system and the AI. We also need country specific AI. Lots of AI specific to India will develop. Localization and personalization will be the next big thing. There will also be democratization. We need a platform to contribute to AI APIs. We are very happy with Jio.
Sachin Arora asked: do we have the skills among us to do all of this? Dr Sailesh Kumar said the skills of data scientists will transform and they will be the architects of AI for our ecosystem. He / she must assemble all the constituent parts. Now we will need solution thinkers. We need to train the next generation to be solutions creators. We need to combine data science and the domain. We need to develop new skills. Data scientists will be transformed into systemic thinkers. The AI architect is the new role, replacing data scientists.
New scheme of things
Next, Arora inquired about Dell’s role in the new AI scheme. What is its impact on society? Xavier Kuriyan, Dell Technologies, said AI is already on the right track. He is taken in small steps. For example, can we eliminate radiologist errors from the system? The data needed to do this is vast. In a factory, it is important that people enter with a working mindset. A lot of data needs to be stored, and a lot of SEO needs to happen.
In India, a lot of data needs to be collected. Dell implements such systems. We have systems to collect, store, protect and process data. We have small ISVs based on residential nodes in India. On the application and algorithm side, a lot of work is underway. The world is moving towards faster data storage. Today, there are many options.
Arora asked what was the impact of the chip shortage on AI? Kuriyan said there is a global shortage of chips. We were able to get around most of the issues. Today, it is important to say to yourself: what do I need to make this function work? It can use ordinary processors. We haven’t seen a shortage of general purpose processors.
Next, what role can Dell play with CSPs to democratize AI? He said the cloud was the first step in democratizing computing. Systems to link cloud environments have been put in place. The next step is to create data in places that you cannot think of at the moment. The amount of data generated by a car is more than a phone. Self-driving cars generate terabytes of data. The next step would be to have a small edge distributed. Imagine, you can run AI in a store for a short period of time. Cloud and AI must work together and create the architecture of the future. Telecommunications Service Providers (TSPs) play an important role in creating the architecture, so computing at the edge exists.
Bill Wright, Red Hat, added that the preponderance of AI models has created new models. We’re deep in the guts of data center and network cabling. We have seen the distribution of the elements of AI among companies. This creates new networking opportunities. You can create a unique AI train image. Red Hat is currently working on it. We can have a corporate neural system. Ravi Sinha in Jio is part of the project.
The advancement of chips has been massive. It also opened the door to more creativity. CSPs gaze at the opportunity with hungry eyes. Every 20 years you get a lot of innovation, and this is one of the times.
India has made great strides. He is at the forefront of innovation. Subnets across countries are really the basis of a global neural network. India has extensive networks, and so do others. We need to tie them together, find frameworks that can protect data and make it work for the good of the world.
Arora then asked the question, how is quantum computing going to impact India? Xavier Kuriyan, Dell Technologies, said work is underway in this area. Some architectures are now disaggregated. There is enough for some problems. Quantum computing may not appear anytime soon, but we need to start preparing for such eventualities. The implementation time has decreased considerably. Previously, typical deployment times were longer. Today, it is: create an application and deploy it. Ideas are now being tested.
Finally, how can the economy react to AI with the meeting of creators and builders? Dr Shailesh Kumar, Reliance Jio, said that every time something new is invented, new things will happen. With AI, we can see things developing in a data-driven way. For example, supply chains can improve. Precision and pro-activity will also be there. AI can also predict that something can happen with crops. Optimization will be done at the societal level. AI will lead to a labeling economy, democratize modeling, etc. APIs can even be used by multiple consumers. This will bring efficiency and reduce costs. As humans, we must improve at the same rate. We need the right skills to build an AI economy. AI will be an engine of economic growth in many ways.