How artificial intelligence got shaped during the history? What is the role of big data in A.I? Big data contains thе quantity аnd diversity оf high frеquеnсу digital dаtа. Big data consists of Internet, Meta data: tags, translations and mechanical Turk. Big Data on its own is not a useful thing. It's bunch of information unless you apply a methodology to make use of it.

Mark Armstrong, vice president and managing director of international operations for APJ and EMEA, for Progress, discusses the company's mission to democratise data science and make technologies such as machine learning, predictive maintenance and Artificial Intelligence more accessible so businesses in Australia and New Zealand can succeed. Progress believes that democratisation of data science is the key to including all organisations, including SMBs, in the machine learning equation. Data RPM and its meta-learning approach to machine learning will enable us to democratise data science by making it scalable, which will allow businesses to build models without the need for an army of data scientists. Making machine learning and artificial intelligence (AI) accessible is exactly why we acquired DataRPM.

This month we're chatting with Arte Merritt, CEO and Cofounder of Dashbot, a bot analytics platform that enables publishers and developers to increase engagement, acquisition, and monetization. In conversation with Arte, we get the low-down on the future of conversational analytics, how voice-controlled bots like Alexa and Google Home are changing the game, and the surprising stats around people sending scandalous selfies to bots (yes, really). Check out the full conversation below. Give us a quick primer on Dashbot. Dashbot is a bot analytics platform with additional tools to take action on the data.

So far, the company has completed two acquisitions, relocated its headquarters to Melbourne, and is now in the process of expanding its cognitive computing and machine learning footprint. Mark Armstrong, vice president and managing director of international operations for APJ and EMEA, for Progress, discusses the company's mission to democratise data science and make technologies such as machine learning, predictive maintenance and Artificial Intelligence more accessible so businesses in Australia and New Zealand can succeed. One of the reasons for our success in the region is the strong collaboration with our local channel partners. We have a strong partner program, and our A/NZ partners have delivered incredible value to the Progress' ecosystem in the past year. Actually just last May, three of our Australian partners were awarded by Progress' Global Partner Awards, amongst the 18 winners across 10 countries.

The first voice you hear on the recording is mine. "Here we are," I say. My tone is cheerful, but a catch in my throat betrays how nervous I am. "Esquire," a second voice on the recording chimes in, and this one word--delivered as a winking parody of lawyerly pomposity--immediately puts me more at ease. The speaker is my dad. We are sitting across from each other in my parents' bedroom, him in a rose-colored armchair and me in a desk chair. It's the same room where, decades ago, he calmly forgave me after I confessed that I'd driven the family station wagon through a garage door. Now it's May 2016, he is 80 years old, and I am holding a digital audio recorder. Sensing that I don't quite know how to proceed, my dad hands me a piece of notepaper marked with a skeletal outline in his handwriting. It consists of just a few broad headings: "Family History." "So … do you want to take one of these cat egories and dive into it?" "I want to dive in," he says confidently. "Well, in the first place, my mother was born in the village of Kehries--K-e-h-r-i-e-s--on the Greek island of Evia …" With that, the session is under way. We are sitting here, doing this, because my father has recently been diagnosed with stage IV lung cancer. The disease has metastasized widely throughout his body, including his bones, liver, and brain. It is going to kill him, probably in a matter of months. So now my father is telling the story of his life. This will be the first of more than a dozen sessions, each lasting an hour or more. As my audio recorder runs, he describes how he used to explore caves when he was growing up; how he took a job during college loading ice blocks into railroad boxcars.

The maker of the world's most deadly firearm has unveiled plans for a radical AI controlled gun for the Russian military. Kalashnikov, best known for its AK-47 rifle, is building'a range of products based on neural networks,' including a'fully automated combat module' that can identify and shoot at its targets. The new products were revealed in an interview with Kalashnikov spokeswoman Sofiya Ivanova by TASS, a Russian government information agency. The Kalashnikov'combat module' will consist of a gun connected to a console that constantly analyses image data to identify targets. According to Kalashnikov it will be able to'make decisions' on whether to shoot.

A team of Afghan girls whose plight resounded with the world won a silver medal for "courageous achievement" at an international robotics contest in the United States, with judges praising the group's "can-do attitude". The First Global Challenge event in Washington ended on Tuesday, having attracted teams of teenagers from more than 150 nations. But all eyes were on the squad of girls from Afghanistan, who had twice travelled 800 kilometres to the American embassy in Kabul, only to have their visa applications turned down. They were finally granted entry with just one week to go until the event began after their story had gone viral. In an interview with Al Jazeera, before US officials decided to allow them in the country, team member Rodaba Noori said: "We wanted to show our talents to the world so they would know that we do have skills."

In the past few years, artificial intelligence has come into its own, and lots of companies are grafting it onto their core businesses, marrying AI with search, ecommerce, social networking, cybersecurity -- you name it. But what if those businesses had started out in an age of AI and had integrated it into their products from the very beginning? Peter Relan addressed this speculative question for us at our MobileBeat 2017 conference this week. Relan is a well-known entrepreneur who started the YouWeb incubator, which spawned startups such as mobile gaming companies OpenFeint and CrowdStar. Now he's CEO of Got It and an investor in the popular gaming chat app Discord. Relan's Got It is a new kind of search engine, and it uses AI to locate human experts who can answer your questions in a personalized way. He thinks this will yield better results, and it's an example of the kind of business that is better because it was born in the AI boom. VentureBeat: What if Google, Amazon, and Facebook had started with AI algorithms a long time ago, before they got hip to this subject more recently? Peter, why don't you talk about that for us?

According to IBM, the world generates 2.5 quintillion bytes of data every day. A decent chunk of those quintillion bytes is made up of people asking the experts how to break into and excel in the dynamic, lucrative field of data science. An even larger chunk of those bytes consists of convoluted, contradicting answers to that question. This is, on one hand, a great thing. Multiple prominent data science innovators are out there giving you free advice on your most pressing questions, backed up by years of their experience and training.

Google's next iPhone killer, the Pixel XL has been revealed in a new leaked image. According to Android Police, the picture shows a second generation Pixel XL, the larger of the two Pixel devices, with a 6inch screen. It is believed the handset will be made by LG, and will feature a radical'squeezable' frame. According to Android Police, the picture shows a second generation Pixel XL, the larger of the two Pixel devices, with a 6inch screen. The site says it is'exceptionally confident' the image is real.