As more and more industries adopt Artificial Intelligence (AI), there is a new pocket of demand unfolding for AI professionals. And it’s a big one. “We’re at the beginning of a golden age of AI. Recent advancements have already led to an invention that previously lived in the realm of science fiction—and we’ve only scratched the surface of what’s possible”. – Jeff Bezos, Founder, and CEO – Amazon
The distance between the customer and the marketer has been shrunk marvelously with Artificial Intelligence (AI) — enter the new world of precision, impact, and customer intimacy. Of all the industries and business functions that have leveraged the power of Artificial Intelligence (AI), perhaps, the most interesting one is the sphere of Marketing. Marketers could not have imagined that Artificial Intelligence (AI) would be such a big boon to them and would wipe away so many of their troubles.
The 21st century is the age of automation and competition. Companies are using artificial intelligence (AI) to survive, differentiate and thrive. AI comes into play in diverse sectors. AI and other emerging technologies are freeing up the time spent on managing tasks and transactions that were done manually.
AI (Artificial Intelligence) is no longer an alien on the planet of IT capabilities. It is going mainstream with every new tool and application that the industry embraces as the relevance of AI and ML (Machine Learning) gathers more steam. After all, we are talking about 2.3 million jobs by 2020 (~ Gartner).
The way we shop (eg. Amazon), the way patients are treated (robotic surgery), the way we bank (UPI), or the way we travel (Uber, Ola) have all changed phenomenally over the last couple of decades. Each of these areas has been disrupted, thanks to technology. Technology companies have transformed into retail stores and banks rather than just traditional companies.
While getting conversant with deep learning tools, remember to get past these top 5 myths.
Deep Learning is neither a bubble nor a rock – and as new and hyped it may be, this technology breakthrough is more like water. It is going to seep slowly and silently into many areas of business, IT and intelligence – making them change in an unprecedented way. But not with a bang. With one drop at a time.
Evolution is the only constant in human life. This statement is more pertinent for technology which constantly shapes our lives today. And as a major disruptor in the technology landscape, the evolution of Artificial Intelligence looms large. Every segment of business across operations, marketing, sales, research and development, finance, human resources, and services is using AI-enabled applications and tools to redefine the future of work. This calls for a radical shift in the way technology is managed within various industry functions: with new knowledge, new skills, new capabilities and newer ways of solving problems.
Whether you are a technology professional or not, you will not be surprised to see how automation has become synonymous with the future of our work. But incidentally, that future is now. From the unassuming chatbots and virtual assistants to fascinating self-driving cars and completely automated townships, Machine Learning has gradually crept into every aspect of our 21st-century life. And, as with any other tech innovation, Artificial Intelligence opens up new career opportunities for tech professionals as well as for those who are keen to explore this industry space and prepare themselves for the future.
AI: From a Trend to Everyday Reality
Have you ever seen an inanimate object come to life? Well, AI-powered applications are doing today to everyday machines what magicians do to white eggs. Turn them into flying pigeons! Way past the point of science fiction, Machine Learning is an everyday reality; in chatbots, shopping, phones, cars et al.
Yunis Lone, Vice President – Engineering in Unify Technologies, a mid-sized company based out of Hyderabad, has over two decades of experience in the IT industry. So when he decided to go back to being a ‘student’, in order to learn more about Artificial Intelligence (AI) and Machine Learning (ML), he was apprehensive, both due to his age, as well as his ability to complete the course.