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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).
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.
Like every other industry sector, the financial landscape is changing remarkably. With constantly evolving technologies, new global regulations, and increased investment, the industry is growing faster than ever. Of all the trends, the introduction of FinTech remains the most prominent, redefining and disrupting financial services and products in the last decade. However, since it is new, there are bound to be little or no understanding of how actually FinTech works and serves the changing market needs.
Living in the rapidly evolving tech-driven economy, it has become imperative to understand the impact of transformative technologies that are disrupting the global business environment. And whenever we talk about such innovation, Blockchain is one subject that invariably finds its way into discussions and debates. The amount of information surrounding this emerging technology is endless and sure to cause information overload. While it continues to find a firm footing, the uncertainty surrounding its value addition has also raised a lot of misconceptions and speculations.
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.
Targeted at management and finance professionals, the course carries a fee of Rs 3.36 lakh and will commence in May
The Indian Institute of Management, Calcutta (IIM-C), in collaboration with TalentSprint, a digital platform for professional education, has come up with a new course targeting management and finance professionals, with the aim of equipping them with modern-age digital tools.
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.
With 10,000+ applicants and 1000+ graduates in 2018 alone, the program has made its mark as one of the most aspirational and impactful deep tech executive programs in the country in the field of artificial intelligence and machine learning.