Artificial intelligence (AI) is the future of technology and humanity. With deep learning (DL) and machine learning (ML) by its side, it redefines how we code, work, think, perform, and even how we live.
“I’m afraid that the following syllogism may be used by some in the future.
There is now an overwhelming demand for industry-ready Data Science professionals who can lead digital transformation journeys. In a recent webinar, Dr. Chiranjiv Roy, Senior Vice President and Practice Head of Data Analytics at SG Analytics, shared his views on how professionals can train and tap into such opportunities.
Just think of the most dominant technology you were using ten years back. Then think of what ruled the world five years ago. And think of what you used just five minutes before. It is both intriguing and overwhelming to see how fast technology is changing? From client-servers to web development to cloud to robotics to artificial intelligence (AI) to containers to blockchain–this world keeps shifting from one leap to another.
If you are reading this, chances are that you are at a significant point in your career. You are one among the distinct group of professionals, who are already expecting significant disruptions in businesses because of the rapid adoption of emerging technologies. You know how important it is to upgrade yourself to adapt and shape your career in a technology-dominated world.
Artificial Intelligence (AI)/Machine Learning (ML) has reached a tipping point in the last two-three years. While the conceptual work on these areas may have started many years back, these technologies’ commercial and application dimensions have manifested in a big way only recently. No wonder there is so much interest in this field.
Businesses across sectors are adopting artificial intelligence (AI) and machine learning (ML) at a rapid pace. Massive research work is going on worldwide to explore and exploit the tremendous opportunities that artificial intelligence and machine learning (AI/ML) offer. For current and aspiring professionals, understanding the core concepts and its application thoroughly becomes necessary before diving deep into the AI/ML world. To gain such in-depth understanding, it becomes essential for them to choose an institute that is known for its academic expertise, scientific inquiry, research, apart from industry projects and hackathons. Here’s why?
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.