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AI Business is the only global media, events, research and training organisation specialising in Artificial Intelligence for the business world. With exclusive independent and expert content across both digital and live platforms, it enables its community to better implement, deliver and develop artificial intelligence strategies for their organisations.
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Founded in 2014, AI Business is the world’s first and foremost content portal for artificial intelligence and its real-world applications in enterprise and the business world. We have grown to become the most visited news portal in this space, with an audience of over 40k monthly readers, as well as maintaining the market-leading AI for Business LinkedIn and Facebook groups with a cherry-picked membership list of global business leaders.
No longer is artificial intelligence the domain of futurists and technologists—it is a reality that every business must face up to today. As AI reaches unprecedented levels of adoption across industries, the conversation around this nascent technology is moving fast.
With our exclusive access to the global C-Suite and the leading lights of the technology world, it is our aim to bring our readers up-to-the-minute insights into how AI is transforming the economy—and our societies—today. From breaking news to in-depth interviews and features, our content is designed to break down the implications of AI in all of its forms.
Like the conversation around AI itself, AI Business has come on in leaps and bounds in the last year. Following our full-scale overhaul in the winter of 2018, we have developed entirely new content formats and premium offerings in order to deliver market-leading insights into the future economy. Our YouTube channel, AIB TV, aims to bring our followers exclusive content from across The AI Space, while the new infographics, webinars, and research papers we are developing in tandem with Tractica gives business leaders the knowledge and resources they need to become true market leaders in the AI space.
This week’s AI Summit NYC welcomes senior speakers from across industries and enterprises to Metropolitan West, bringing together experts at the forefront of both the business and technology world. AI Business will be providing live, up-to-the-minute highlights and coverage throughout the day. To find out more about the AI Summit, click here.
Pavandeep Kalra is currently a Director of Data Science at Microsoft’s Artificial Intelligence and Research group, where he leads a team creating innovative AI solutions on the cloud with various customers and partners. His talk, entitled ‘Amplifying Human Ingenuity with AI’ was immediately ambitious. Opening the presentation with a slide demonstrating AI acceleration in relation to 4 billion years of geological time on Earth (the Cambrian acceleration), it’s clear that the implications of AI are truly historic – and Kalra believes it’s founded upon the three factors of cloud technology, intelligence, and big data. “We think we are seeing an AI acceleration in the making right now. We think that there is gonna be a real rate of change in the diversity of compute paradigms that we actually have.”
He illustrated this effectively using a number of unique cases, from image interfaces for autistic children to AI-powered hurricane damage inspection and leopard conservation.
“What this means is that this acceleration is starting to happen for everyone. IT will change everything – the way we live and work. So how should we go about creating these AI systems? Traditionally, there are two systems – systems of records – or systems of engagement, such as web channels, mobile, or chat. Systems of intelligence integrates these two systems.”
Kalra argued that intelligence systems have three primary functions from which businesses can benefit: understanding (the interpretation of meaning in text, voice, and image data); reasoning (learning and forming conclusions from data); and natural UI (engaging with people in natural ways). Microsoft’s own AI capabilities have been designed from the ground up to provide these functionalities, with their key focus on cognitive understanding; building custom AI reasoning models from data and real-time AI at edge cognitive applications; and conversational AI & bots. The backing of cloud technology, Kalra argued, is absolutely vital to the success of this approach – think Cortana.
Beyond infrastructure and technical functions, business leaders need to establish a clear strategy for AI uses. Kalra shared his team’s tips in this area, saying that “a lot of people, when they look at data and AI, think they can definitely do something useful with it. Don’t stop there – start from the business side of things. Establish a business performance metric to measure whatever object you’re trying to go after.”
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