The world has changed almost overnight, and yet Indian IT firms seem to be reluctant to take the plunge to radically overhaul their operations, wean themselves off the traditional model, and undergo some short term pain so they can compete in the digital present and future. Here's a to-do list that they may find helpful.
Source: ZDnetData Scientists are in big demand! We review career pathways, relevant data science skills, and how you can learn them at no cost.
Source: KDnuggetsBurtch Works details the top 9 data science skills that potential data scientists must have to be competitive in this growing marketplace from the perspective of a recruiter.
Source: KDnuggetsOver the last few months I've had the opportunity to talk to a lot of decision-makers about artificial intelligence in general and machine learning in particular.
Source: TalendWhile some digital marketers are still discovering the power of social media, those who are on the cutting edge of technological progress are raising awareness about chatbots and how to build a bot.
Source: MasterofcodeOn June, 16 we hosted our first ever Bot Summit 2017 in Winnipeg, Manitoba, Canada to bring Winnipeg businesses together and ideate what bots can accomplish for their respective organizations.
Source: MasterofcodeWorldwide spending on cognitive and artificial intelligence (AI) systems is predicted to increase 59.3% year-over-year to reach $12.5 billion by the end of 2017, according to an International Data Corporation (IDC) spending guide.
Source: MediapostMost industries are struggling to find data science expertise, but Wall Street especially has particularly keen to hire in this area. Data has always been a big part of the finance industry, and over the last few years, top financial services firms have ramped up their spending, investing millions of dollars to recruit and train data scientists.
Source: Efinancial CareerMachine learning is the next big thing, proclaimed by the industry experts and it has started enabling different industries grow their revenue.
Source: HOB TeamIt always starts off glamorous. Then reality hits you in the face. The first year is always the hardest. The first year of trying to get back into shape. The first year of learning a language. The first year of learning a new skill.
Source: IncWhat should people new to the field know about adversarial machine learning? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better understand the world.
Source: ForbesData science is complex. Let us help break it down for you in this bundle where you can learn everything a data scientist needs to know before jumping into it as a career.
Source: TechrepublicWith their relationship with America going cold, India's information technology (IT) giants are warming up to Europe.
Source: QuartzLet's say you have an amazing idea for a machine learning app. It's going to be brilliant. It's going to revolutionize the world of finance, mobile advertising, or... some other world, but it's definitely going to revolutionize something. And gosh darn it, it's going to be the smartest, most learned app the world has ever seen.
Source: WebhoseWell-established enterprises like retailers or manufacturing companies now have an abundance of data at their disposal. Unfortunately, merely possessing vast amounts of raw data does not lead directly to increased efficiency or the rapid development of new revenue streams. Instead, everyone must now figure out exactly how to make this data work for them.
Source: ComputerweeklyIn 2016, Google gave businesses the ability to build machine learning models using its cloud platform. TechRepublic's comprehensive guide explains how it works and why it matters.
Source: TechrepublicAmazon uses it. Target uses it. Google uses it. "It" is machine learning, and it's revolutionizing the way companies do business worldwide.
Source: ForbesAI is a 'smart pill' CMOs can't afford not to take
Source: adweekCan computers be creative? That's a question bordering on the philosophical, but artificial intelligence (AI) can certainly make music and artwork that people find pleasing. Last year, Google launched Magenta, a research project aimed at pushing the limits of what AI can do in the arts. Science spoke with Douglas Eck, the team's lead in San Francisco, California, about the past, present, and future of creative AI. This interview has been edited for brevity and clarity.
Source: SciencemagPython is a general-purpose language - sometimes referred to as utilitarian - which is designed to be simple to read and write. The point that it's not a complex language is important.
Source: KdnuggetsGiven the trajectory that artificial intelligence is on, machines will soon do everything that people do today. In a world of increasingly powerful technology, which in aggregate will make the world a better, richer place but at the micro, personal level will make a lot of skills less relevant and less valuable, it is smart to try to figure out how to "beat the bot". These are four areas and skills that are "AI-proof" - well, at least for a little while...
Source: Telegraph(Phys.org)-Physicists have applied the ability of machine learning algorithms to learn from experience to one of the biggest challenges currently facing quantum computing: quantum error correction, which is used to design noise-tolerant quantum computing protocols.
Source: Phys OrgThe common citizen is concerned about AI taking away their jobs. This calls for broader thinking, including the evolution of industry protocols, while making sure that the public is ready for these futuristic advancements.
Source: Hindustan TimesIf you've been paying attention to social media for the past few weeks, you've likely caught wind of a mildly disturbing story about a pair of Facebook-developed chatbots that invented their own language. The story has been shared millions of times, from different publishers' perspectives, and has led to both serious discussions and amused jokes about the impending "AI apocalypse."
Source: ForbesA revolution in warfare where killer robots, or autonomous weapons systems, are common in battlefields is about to start.
Source: Business InsiderThe data scientist role has been attracting quite a bit of attention and interest--but if you're considering a job in that field, make sure you know what you're taking on.
Source: HOBWith the clock ticking for Python 2 programming language, the cloud storage company Dropbox has detailed why it chose to move to Python 3 programming language and how it made the switch.
Source: HOBPython is a general-purpose language - sometimes referred to as utilitarian - which is designed to be simple to read and write. The point that it's not a complex language is important.
Source: HOBFirst released in 1995 by Sun Microsystems (later bought up by Oracle), Java is a highly-popular high-level object-oriented programming language. It is primarily used to develop and deliver content online and has been a popular choice with programmers for many years.
Source: HOBEvery Java programmer loves free eBooks on Java, don't you? When I shared my collection of top 10 Java programming books, one of my readers asked me to share some free Java books as well.
Source: HOBThere are various ways of categorizing or differentiating programming languages. In this post, am going to focus on general-purpose and its nemesis; domain-specific programming languages. What do the two terms mean? What are the differences between them?
Source: HOBWe know you are welcoming 2019 armed with resolutions. It has always been and will continue to be important for us programmers, to stay updated, challenge ourselves, and improve our skills. Don't give into stagnation and demotivation!
Source: HOBWith the rapid pace of innovation, it can be difficult for programming language tech professionals to keep their skills current. Here are 10 tips to help you boost your professional development.
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