It's amazing how much progress the field of AI has achieved over the last 10 years, ranging from self-driving cars to speech recognition and synthesis. Against this backdrop, AI has become a topic of conversation in more and more companies and households who have come to see AI as a technology that isn't another 20 years away, but as something that is impacting their lives today. Indeed, the popular press reports on AI almost everyday and technology giants, one by one, articulate their significant long-term AI strategies. While several investors and incumbents are eager to understand how to capture value in this new world, the majority are still scratching their heads to figure out what this all means. Meanwhile, governments are grappling with the implications of automation in society (see Obama's farewell address).

Managing business data is a big trend right now. Through a couple of clicks and a couple drags, anybody can explore it. Businesses have been collecting and analyzing data since the 1950s. Data is the prime factor for businesses in order to gather the information and related analysis to increase operational efficiency, reduce costs and serve their customers. You might be wondering, why one must care about Data Analysis, in particular?

Artificial intelligence boosters predict a brave new world of flying cars and cancer cures. Detractors worry about a future where humans are enslaved to an evil race of robot overlords. Veteran AI scientist Eric Horvitz and Doomsday Clock guru Lawrence Krauss, seeking a middle ground, gathered a group of experts in the Arizona desert to discuss the worst that could possibly happen - and how to stop it. Their workshop took place last weekend at Arizona State University (ASU) with funding from Tesla co-founder Elon Musk and Skype co-founder Jaan Tallinn. Officially dubbed "Envisioning and Addressing Adverse AI Outcomes", it was a kind of AI doomsday games that organised some 40 scientists, cyber-security experts and policy wonks into groups of attackers - the red team - and defenders - blue team - playing out AI-gone-very-wrong scenarios, ranging from stock-market manipulation to global warfare.

The call for proposals for the O'Reilly Artificial Intelligence Conference, September 17-20, 2017, in San Francisco, is now open. "Bots are the new apps"--Satya Nadella, CEO of Microsoft Bots are a new, AI-driven way to interact with users in a variety of environments. As AI improves and users turn away from single-purpose apps and toward messaging interfaces, they could revolutionize customer service, productivity, and communication. Getting started with bots is as simple as using any of a handful of new bot platforms that aim to make bot creation easy; sophisticated bots require an understanding of natural language processing (NLP) and other areas of artificial intelligence. Since late 2015, bots have been the subject of immense excitement in the belief that they might replace mobile apps for many tasks and provide a flexible and natural interface for sophisticated AI technology.

LONDON--(BUSINESS WIRE)--Artificial intelligence and additive manufacturing or 3D printing are emerging technologies that have a huge potential in a variety of industries and applications. Despite both technologies being fairly new, particularly 3D printing, procurement market intelligence experts at SpendEdge state that these technologies have several applications in the supply chain for addressing procurement challenges, and will very soon become an integral part due to its improved and sophisticated functionalities. Rapid prototyping is one of the most common uses of additive manufacturing. Since designing a successful product can be very expensive and time-consuming, 3D printed prototyping makes it quite simple at the same time shortens the manufacturing cycle. The impact of AM on supply chain is massive, some of which include increased manufacturing flexibility, reduced material waste, and the ability to employ decentralized manufacturing strategies.

Google announced Friday that it has achieved state-of-the-art results in using artificial intelligence to identify breast cancer. The findings are a reminder of the rapid advances in artificial intelligence, and its potential to improve global health. Google used a flavor of artificial intelligence called deep learning to analyze thousands of slides of cancer cells provided by a Dutch university. Deep learning is where computers are taught to recognize patterns in huge data sets. With 230,000 new cases of breast cancer every year in the United States, Google (GOOGL, Tech30) hopes its technology will help pathologists better treat patients.

Machine Learning (ML) has revolutionized the world of computers by allowing them to learn as they progress forward with large datasets, thus mitigating many previous programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve. When this unique technology powers Artificial Intelligence (AI) applications, the combination can be powerful. We can soon expect to see smart robots around us doing all our jobs – much quicker, much more accurately, and even improving themselves at every step. Will this world need intelligent humans anymore or shall we soon be outclassed by self-thinking robots? What are the most visible 2017 Machine Learning trends?

In an era of maturing artificial intelligence technology, what does the future of the corporation look like? Will the rise of robots help us do our jobs better, or harm them? This dynamic has become a mainstay of the dialogue around AI, with voices from technology visionaries such as Bill Gates and Stephen Hawking weighing in. But at Fortune's Most Powerful Women International Summit in Hong Kong on Tuesday, leaders at two of the world's most powerful tech giants pushed back on those concerns. AI is intended to help--not hinder--the human workforce, they said.

BARCELONA, Spain--IBM has come up with a way to show off the more artistic side of its artificial intelligence capabilities while honoring one of Spain's most famous architects. For this year's Mobile World Congress in Barcelona, IBM tasked its Watson super computer with the understanding Antoni Gaudí's greatest works such as La Pedrera and la Sagrada Família to help create a unique sculpture for the annual trade show. Using its visual-recognition technology, Watson reviewed hundreds of images of Gaudí's buildings, along with additional examples of local architecture to understand trends in composition and inspirations. IBM then tapped Watson's AlchemyLanguage software to read documents about Gaudí and other architects, along with song lyrics and other documents about the city's history and culture. "What we were really trying to do at the essence was figure out if we can programmatically start to understand what the features of a particular style or architect are," said Jeff Arn, a Watson manager at IBM. Watson identified key elements of Gaudí's Catalan modernist style--known for its dream-like colors and shapes and odes to the natural world.

The highly intelligent machines that will be unleashed in the near future won't be coming for our lives. They'll be coming for our jobs. Being rendered obsolete by technology has been a concern among the flesh-and-blood set for hundreds of years -- cars put many in the horse industry out of work, for example -- but the speed and types of recent advances are about to give the issue an exceptional urgency. Previously, it was repetitive blue-collar jobs that were at risk, such as those in manufacturing. In the near future, however, the leaps in artificial intelligence will soon make it possible for machines to do all sorts of jobs, including those that require thinking skills we once believed beyond the reach of machines.