NEW DELHI: HDFC Bank today announced the launch of an electronic virtual assistant (EVA), an artificial intelligence-driven chatbot, for customer services. Eva is India's first AI-based banking chatbot and can answer millions of customer queries across multiple channels instantly, HDFC Bank said in a statement. Eva can assimilate knowledge from thousands of sources and provide answers in simple language in less than 0.4 seconds, it said. "Within the first few days of its launch, Eva has answered over 1 lakh queries from thousands of customers from 17 countries across the globe," it claimed. With the launch of Eva, it said, bank's customers can get information on its products and services instantaneously and it also becomes smarter as it learns through its customer interactions.

What programming language should one learn to get a machine learning or data science job? It is debated in many forums. I could provide here my own answer to it and explain why, but I'd rather look at some data first. After all, this is what machine learners and data scientists should do: look at data, not opinions. So, let's look at some data. I will use the trend search available on indeed.com.

Oxford University researchers have estimated that 47 percent of U.S. jobs could be automated within the next two decades. But which ones will robots take first? First, we should define "robots" (for this article only) as technologies, such as machine learning algorithms running on purpose-built computer platforms, that have been trained to perform tasks that currently require humans to perform. With this in mind, let's think about what you'll do after white-collar work. Oh, and I do have a solution for the short term that will make you the last to lose your job to a robot, but I'm saving it for the end of the article.

In this article, we will go through the intuition of linear regression and a straightforward implementation of the algorithm. This article is adapted from this booklet, in which you can find the mathematics behind the algorithm as well as detailed explanation and implementation details. Linear regression is a simple yet useful learning algorithm that can be seen as a statistical or an optimization problem. For simple regression, there are optimal analytical solutions; however, for high dimensions problems, there are not. Regression fits a function to a data set, so what we are trying to do is to find a representative function and fit it to our data set.

A good recommendation system will always boost your sales. When it comes to apparels or footwear, the use of better recommendations are always a matter of prime importance. Currently recommendation systems are implemented using machine learning algorithms. Algorithms like'Nearest Neighbour' provides easy way to implement recommendations. But have you ever verified how accurate are these recommendations?

That's an adage that is hopefully familiar to all privacy professionals. It's certainly something we talk a lot about in the office. I think we're learning that, when taken on as a corporate philosophy, applying ethical considerations to your products and services can go a long way in procuring user trust. An article from my colleague, Angelique Carson, for example, on whether the profession needs an ethical code has generated a lot of interesting discussion surrounding a privacy pro's obligation to not simply advise a company regarding legality, but to advocate on behalf of the consumer. In particular, advanced technology is putting pressure on ethical considerations.

If you're as plugged in a we are, then you probably have something like 150 online accounts. That means you probably have 150 variations of the same half-dozen login names and passwords. And chances are you've gotten a message from a friend in the last few months telling you that it looks like you got hacked again, after he received email spam to enlarge an embarrassingly small body part. Well, we think the days of the alphanumeric password are numbered. The age of biometric authentication is dawning.

Fortune magazine last week released a list of "50 Companies Leading the AI Revolution," and the prestigious list includes three hot Israeli companies in the artificial intelligence sector: Logz.io, Fortune's infographic includes only six countries and features an equal number of notable AI companies from Israel (population 8.5 million) as China (population 1.38 billion) and the United Kingdom, and more than France and Taiwan. Only the United States has more companies on the graph. Fortune relied on research firm CB Insights' AI 100 list of the most promising artificial intelligence startups globally, based on factors like financing history, investor quality, business category, and momentum. The CB Insights list also includes Israeli companies Prospera Technologies (ag-tech at work in Spain, Mexico, and New York) and Chorus.ai

According to analyst Forrester, artificial intelligence (AI), big data and analytics will increase businesses' access to data, broaden the types of data that can be analysed, and raise the level of sophistication of the resulting insight. For 2017, Forrester expects investment in AI to triple. This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.

In the hallowed hallways of Morgan Stanley's office in Canary Wharf, men in crisp tailored suits pass each other, briskly chatting away on their smartphones, while attractive young women in black pencil skirts and long legs scamper through the halls with take-away salads from Chop'd, dressing on the side. Walking these very halls has been the aspiration of many, the full-time MBA candidate who was looking for a career change and "wanted to get into investment banking". Just what is investment banking, you might ask? Well, the money-making part of the operation is called "the front office". Let's just say that if you meet a 9 at All Bar One in Canary Wharf and she asks you if you're in a front office role, just say yes.