Year after year, data science techniques mature and deliver outstanding results with successful implementations. There have been various developments in the field of data science and related technologies. We saw growth in Data Scientists from all fields of profession and study. Most consulting enterprises established Analytics and Data Science as one of their key offerings, with many niche startups mushrooming to grab a space in this area. The advantage that we have is the increased contribution of the Data Scientists to open source development communities, laying out new thought processes in the analytics industry and bringing out innovative ways to solve business problems.

While artificial intelligence may replace truck dricers and beat us at chess, it also has much to offer: it can free up our minds and responsibilities for the tasks and social interactions we humans are best suited for. In this TEDx video featuring Felix Hausler, CEO of messaging interface Chatgrape, Hausler discusses how AI is becoming more a part of our daily lives, and how we can overcome the challenges this could pose. AI can be used for good as much as it can be a threat: it beats us in every technical game, exercises tireless intelligence, and yet it also helps us with research, or drives us home when we're too drunk to drive, Hausler pointed out during his talk. Because of AI, 47 percent of jobs are at risk, he said, and humans will lose their jobs to automation in the next decades. Truck driving, other transportation, production, and administrative jobs are particularly susceptible to AI.

Machine learning (ML) has received a lot of attention recently, and not without good reason. It has already revolutionized fields from image recognition to healthcare to transportation.

How do you know if you've made the right decision for a hire? Often, employers go off gut instinct and make a decision retrospectively, but it turns out AI might be able to help out in human resource management through shedding light on the best hiring decisions. In this episode, Pasha Roberts, Chief Scientist at Talent Analytics, Corp. tells us about how his company is working on helping companies make better decisions before they hire by applying machine learning and artificial intelligence to various data points on a given applicant, including information from aptitude tests that may help predict not only performance but retention.

It's hard to bet against the continued rise of automation, robots, and artificial intelligence (AI), all of which are already having major impacts on how we work, learn, shop, and play. But being able to predict that robotics and AI will change our lives is a lot easier than predicting how they will change our lives. In a recent forecast for 2017 and beyond, for instance, analyst firm IDC said we can expect to continue seeing robotic and AI technologies keep growing more affordable, more capable, and easier to use. The Obama White House said it expects the same, but also warns in a new report that "growth will not be costless" and could harm workers lacking the skills to compete in an AI-driven economy. How the incoming administration plans to address such issues is also uncertain. While President-elect Donald Trump's campaign promised to revive U.S. manufacturing and spend $1 trillion on the nation's infrastructure, he has also tapped Hardee's/Carl's Jr. chief Andrew Puzder -- who supports the use of automation to save on employment costs -- as secretary of the U.S. Department of Labor.

GPU technology has been around for decades, but only recently has it gained traction among enterprises. It was traditionally used to enhance computer graphics, as the name suggests. But as deep learning and artificial intelligence have grown in prominence, the need for fast, parallel computation to train models has increased. "A couple years ago, we wouldn't be looking at special hardware for this," said Adrian Bowles, founder of analyst firm STORM Insights Inc. in Boston. "But with [deep learning], you have a lot of parallel activities going on, and GPU-based tools are going to give you more cores."

Many believe Artificial intelligence is a new concept. But in reality it is something that businesses have been trying to implement in key areas. The role of artificial intelligence is to organize operations and improve automation. Some of the biggest international tech giants such as Google, Apple and Microsoft have made announcements related to artificial intelligence this year. In September, a number of companies, including Amazon, Facebook, Google, IBM and Microsoft, also launched a Partnership on Artificial Intelligence to Benefit People and Society to address opportunities with AI technology .

This ended up being more of a blog than a comment lengthwise. I really believe that the intense discussion of'data scientist' vs. 'statistician' is one that's driven by quite a number of factors. And I think it is inappropriate, presumptuous at best to say that there is a'death' of any one particular discipline in this area. The quantitative and computational arena, both in the theoretical and applied arena is evolving, but nevertheless much is grounded in the disciplines of statistical practitioners. Here are some simple armchair thoughts about how and why I believe that'data scientist' and'statistician' are at their core nearly synonymous.

Google's Embedding Projector web applications will give developers a way to visualize how well their machine learning systems are interpreting data.

Chatbots are programs that mimic conversation with people using artificial intelligence. With recent advances in AI these have become much more accurate, especially when focused on a specific domain. Combine these advances with the consumer trend towards messaging -- people are now spending more time in messaging apps than in social media -- and it seems we might be about to enter the age of the chatbot. We decided to take a closer look at the top emerging chatbot start-ups in text chat, across a range of industries, and pick out the most promising. You can find out more about the 25 companies below, or discover more chatbot startups on our search engine.