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) …
Artificial Intelligence (AI), robotics and other forms of smart automation have revolutionised the present and future of work. These technologies have the potential to bring great economic benefits, contributing up to $15 trillion to global GDP by 2030, according to a PwC report on the impact of automation. The UAE has been at the forefront of using AI to streamline processes through its National Artificial Intelligence Strategy 2031. The country appointed the world's first Minister of State for Artificial Intelligence in 2017. Last week, UAE capital Abu Dhabi announced the establishment of the Mohammad Bin Zayed University of Artificial Intelligence, the first graduate level, research-based artificial intelligence university in the world.
In recent years, artificial intelligence and machine learning technologies have developed at breakneck speed. Today, you find them across the economy doing everything from underwriting risk for new loans to language translation and helping diagnose cancer. Not only can machine learning systems do these tasks successfully, they usually do them an order of magnitude better than humans. When Google's AlphaGo system beat the world champion Lee Sedol at Go -- a notoriously difficult Eastern Asian game -- it seemed like a tipping point had been reached and the floodgates for AI advancement were about to open. At face value it looks like the possible applications of machine learning and AI are endless and that it is only a matter of time before someone builds a machine learning system capable of doing a given task previously done by a human significantly better than a human.
The integration of AI in digital marketing can make marketing campaigns much more efficient and optimized. Although digital marketing has relied heavily on human creativity, artificial intelligence can do the job using only data. However, new development is that artificial intelligence is carried out quite frequently, and future AI applications may be potentially unlimited. In any case, AI is already making progress in the marketing industry. An important part of Digital Marketing Services is the content promotion plan that your brand carries out.
Anywhere, at any time, the capabilities and competence of Artificial Intelligence (AI) has the potential to threaten an employee's role and an employer's style of working. Recent statistics surrounding the correlation between AI and employment in the Capgemini survey reveal that an increasing number of employers are turning to AI devices to heighten their company's impact. For instance, when discussing conversational AI chat bots, 76 percent of the organisations interviewed have seen quantifiable benefits from their voice and chat initiatives, while 58 percent claimed that these benefits met or exceeded their expectations. Compared to last year, the number of consumers using voice has shown a meaningful increase and the report emphasises that customers are increasingly preferring to use voice assistants throughout the consumer journey. To leverage their grasp of consumer appetites, the organisations appear to be trying to find the right balance between human and robotic interactions, but this still threatens the existence of human-based roles in their companies.
When it comes to intelligence in decision making, it's our differences in experiences and attitudes that make our businesses evolve in a diverse manner. There are often many ways to solve a problem. The path we take can be an expression of our human creativity. This ingenuity is precisely why Artificial Intelligence alone is unlikely to help us break out and take supply chain decision making to the next level. Instead of finding innovative ways to serve and enhance markets, it could send us down a path of uniformity so we all fulfill demand in the same way, often competing for the same asset locations with similar processes.
If there was a metric for success in the data science profession, it would require a multi-dimensional scoring model. This metric would cover a data scientist's technical skills and talents, analytic literacies and ways of thinking, and soft skills and aptitudes. Soft skills include a collection of aptitudes that I call the "seven C's of successful data scientists": Collaboration (data science as a team sport), Communication (data storytelling), Computational thinking, Critical thinking, Creativity, Curiosity, Continuous lifelong learning, Complex problem-solving, Compassion (design thinking), Consultative (active listening), Community-focused, and Cool under pressure ("tolerance for ambiguity"). Okay, that's more than seven things, but they represent my perspective on the journey to data science maturity as "sailing on the seven seas". This idiom comes from an ancient allegory that associated the seven known seas on Earth with the seven known moving objects in the heavens.
TED talks are known to empower us with knowledge and allow us a peak into how smart people think. There has been a huge hype around AI for a few years now and yet, most of us are not sure about what this new technology can do for us? Most often than not we are in fear of the negative impact it can have on our lives. This is due to the ambiguity that surrounds AI. Will it take over my job?
Are machine learning and creativity at odds? And don't just take it from us. We sat down with Justin Billingsley, CEO at Publicis Emil; Dawn Winchester, chief digital officer at Publicis North America; Andrew Shebbeare, co-founder and chairman of Essence; and Vijay Sharma, FlipKart's head of digital media and brand marketing. They explain how creativity is being empowered by the most recent advances in technology, and why great creatives love data and automation.
Researchers have found a way to marry human creativity and artificial intelligence (AI) creativity to dramatically boost the performance of deep learning. A team led by Alexander Wong, a Canada Research Chair in the area of AI and a professor of systems design engineering at the University of Waterloo, developed a new type of compact family of neural networks that could run on smartphones, tablets, and other embedded and mobile devices. The networks, called AttoNets, are being used for image classification and object segmentation, but can also act as the building blocks for video action recognition, video pose estimation, image generation, and other visual perception tasks. "The problem with current neural networks is they are being built by hand and incredibly large and complex and difficult to run in any real-world situation," said Wong, who also co-founded a startup named DarwinAI to commercialize the technology. "These on-the-edge networks are small and agile and could have huge implications for the automotive, aerospace, agriculture, finance, and consumer electronics sectors."