If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
To help facilitate this, we have developed the Mindful AI approach to help businesses develop AI solutions that are more valuable because they are relevant and useful to the people they serve – rather than just the producers of the platform. We make AI technology more inclusive by working with under-represented communities through the diversity we need for our data programs (age, gender, groups, genre, geographies, ethnicities, cultures, and languages) to help our customers build more inclusive AI-based products and to reduce bias. Our expertise with AI localization makes it possible for our clients to make their AI applications more inclusive and personalized, respecting critical nuances in local language and user experiences that can make or break the credibility of an AI solution from one country to the next. By designing an AI application more mindfully from the start, a business will set itself up to be more effective and inclusive in its development of AI applications that help people no matter where they live. To help facilitate this, we have developed the Mindful AI approach to help businesses develop AI solutions that are more valuable because they are relevant and useful to the people they serve – rather than just the producers of the platform.
"Understanding how to assess compliance with data protection principles can be challenging in the context of AI. From the exacerbated, and sometimes novel, security risks that come from the use of AI systems, to the potential for discrimination and bias in the data. It is hard for technology specialists and compliance experts to navigate their way to compliant and workable AI systems." Those were the words of Simon McDougall, the ICO's Deputy Commissioner - Regulatory Innovation and Technology, from a blog in 2020. To help address this challenge, we have decided to publish an AI and Data Protection Risk Toolkit.
The Information Commissioner's Office (ICO) is launching a risk assessment toolkit for businesses so they can check if their use of artificial intelligence (AI) systems breaches data protection laws. The AI and Data Protection Risk Assessment Toolkit, available in beta, draws upon the regulator's previously published guidance on AI, as well as other publications provided by the Alan Turing Institute. The toolkit contains risk statements that organisations can use while processing personal data to understand the implications this can have for the rights of individuals. It will also provide suggestions for best practices that companies can put in place to manage and mitigate risks and ensure they're complying with data protection laws. It's based on an auditing framework, according to the ICO, which was developed by its internal assurance and investigation teams following a call for help from industry leaders back in 2019.
In a recent McKinsey Future of Work podcast interview with Microsoft Chief Technology Officer Kevin Scott, the CTO revealed that artificial intelligence (AI) is about to go prime time and will begin showing up in the most unlikely of places – including our nation's farm fields Once a mysterious science being beta-tested by only Fortune 100 companies, AI is rapidly becoming more democratic, inclusive, and utilitarian – to even those residing in under-served communities. It's also becoming a versatile tool that can branch out to myriad market sectors, including one of our oldest – agriculture. Scott recently published a book entitled Reprogramming the American Dream: From Rural America to Silicon Valley – Making AI Serve Us All. The findings come from his personal experiences with AI being implemented to service populations in rural towns and working-class communities, rather than just hi-tech cities or corner offices. The Wall Street Journal recently reported on Microsoft's FarmBeats program – a platform that leverages AI to improve farming outcomes.
Machines of today are already intelligent. They can process huge amounts of information hundreds of times faster than humans can do. They execute repetitive tasks without getting tired, and they easily compute very complex mathematical equations. This is why machines can detect patterns and learn from them. They outperform humans in terms of computational capabilities, but their perceptual skills are in question.
An engineer-turned-entrepreneur helping small businesses survive and thrive with AI. Jensen Huang, CEO of Nvidia, famously said, "Software is eating the world, but AI is going to eat software." Somehow, most of the events in the artificial intelligence world are still happening behind the scenes. The end consumer's life is changing, but without them realizing it. The number of enterprise and B2B AI applications far exceeds direct consumer applications.
Skymind Future Cities executive director Eow Wan Lin said the company is currently in discussions with Johor to build Skymind Innovation City (SIC) for creating and testing artificial intelligence-powered technologies at Iskandar Malaysia. "Skymind Innovation City will create a platform for enterprises and industries to develop their own AI applications, and equip them with tools to be innovators in the industry by building a stronger AI ecosystem," he said in a statement. He explained that SIC will focus on three main hubs: a Talent Hub for developing a skilled workforce in AI, an Innovation Hub for enabling AI innovators and a Regional R&D Hub for research and development of AI applications. Eow sees SIC as the company's way of supporting Johor's Digital Agenda and innovation programmes to develop a vibrant ecosystem for growth in the digital space. At the recent virtual World AI Conference Shanghai 2021, Johor Mentri Besar Datuk Hasni Mohammad said a robust upskilling and reskilling programme will be set up to ensure that the state is on track to become an AI powerhouse.
These are exciting times for the artificial intelligence community. Interest in the field is growing at an accelerating pace, registration at academic and professional machine learning courses is soaring, attendance in AI conferences is at an all-time high, and AI algorithms have become a vital component of many applications we use every day. But as with any field going through the hype cycle, AI is surrounded by a saturation of information, much of which is misleading or of little value. I can tell that from my inbox. Every day, I receive several pitches that claim company X has solved problem Y with "advanced AI techniques," or that AI can now solve problem Z. A few years ago, I might have opened and read these emails with interest.
The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence. Each chapter presents information on related sub-topics in a reader-friendly format. The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence. Shigao Huang obtained his PhD from the University of Macau and focused on precision medicine, such as immunotherapy for cancer, nano-medicine, and radiotherapy for cancer. He has published over 30 SCI papers and has worked as a peer reviewer in many reputable journals.
With technological advancements, AI applications have accelerated rapid growth as there is a huge demand for infrastructure and software that supports AI applications. Many start-ups have been joining this field of MLops. Data Robot wants to own a company's AI lifecycle starting from data preparation till the production deployment. The features of Data Robots include relating to the web UI which can simplify the data and it can also assist users by automatically clearing previous data. The Humble AI feature adds to the company as it lets the user place additional guardrails in case of any low probability event occurring during the prediction. The unique quality of Data Robots is that they can install their own data center and bare metal in Hadoop clusters and can deploy cloud services to private and managed companies.