Until a few years back, speaking to a voice assistant while cooking new recipes or asking for directions would have been either akin to insanity or the equivalent of having a genie in a bottle. But look at how normal it is now. It is hard to imagine a road trip or a workout session without the assured, helpful and insightful voice of artificial intelligence (AI) around.
What separates humans from every other species on this planet?
The difference lies in just one word, ‘intelligence’, to the best of our knowledge – accumulated and tested over centuries by scientists and explorers.
Will AI replace jobs? Can we swap AI and ML? Can we deploy AI without a plan? Let’s find out.
Artificial intelligence, or AI as it’s more commonly known, has been gaining momentum for a while now. In the past few years alone we have seen its revolutionary impact on almost every industry out there and experts predict that this trend will only continue to grow in popularity over time.
“Any sufficiently advanced technology is indistinguishable from magic.” – Arthur Clarke
When we think of artificial intelligence (AI), we think of machines, computer systems, algorithms, and models trying to get closer to human intelligence. Today, this space straddles many areas, like natural speech recognition, expert systems, machine learning, general AI applications, and more. The future, however, is mapped towards singularity:
Artificial intelligence (AI) is revolutionizing a lot of businesses and services.
ET (Economic Times) CFO and TalentSprint’s webinar on “AI for Financial Markets” with eminent financial market experts from NSE.
Having closely witnessed how AI is transforming financial markets, the panelists shared deep insights.
Once upon a time, the world was divided into two calendars- BC and AD. But in the last decade itself, that calendar has changed again. It is called after-digitalization or the new AD. Now, we live in an era dotted with digital powers and of all stripes possible.
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.