Jordan Bitterman, CMO of IBM Watson Content & IoT Platform, explores in this seminar the power and promise of the new cognitive era and how it will enable marketers make better decisions, with more confidence and less risk. While AI is expected to create 15 million new jobs over the next 10 years, experts also anticipate 25 million jobs will be replaced by automation in that time period. Peter Spande, CRO of Business Insider, and four other panelists take part in a thoughtful debate about risks and rewards of the technology set to transform our lives, for better or worse. Right now, Artificial Intelligence only has the equivalent of a couple of hundred brain neurons as compared to the 100-billion of our brains. See an insightful discussion lead by Zach Seward, SVP of Product and Executive Editor at Quartz, about the future of A.I. for the advertising industry.

AI and Machine Learning are constantly used together as one, but is this correct? Artificial Intelligence and Machine Learning are terms that are currently filling the air in the tech world and across a range of industries, as plans for massive disruption begin to take shape. Both technologies are set to be central to the future, particularly in critical fields such as cybersecurity, and the financial services. Technology is developing at a gallop, and an ever widening skills gap is causing concern, driving the need for technology to fill in for the lack of human skills. However, it is common that the two terms are haphazardly thrown together under the banner of automation, or simply used together without distinction.

The report studies the markets for Artificial Intelligence And Cognitive Computing across different regions.

In part, the critics of AI are driven by the knowledge that'white collar jobs' are the ones that are now under threat. Business leaders are frequently confronted by notions of job-killing automation and headlines on the variation of the theme that "Robots Will Steal Our Jobs." Elon Musk, CEO of Tesla, Silicon Valley figurehead, and champion of technology-driven innovation even goes a step further by suggesting AI is a fundamental threat to human civilisation. In part, the critics of AI are driven by the knowledge that'white collar jobs' are the ones that are now under threat. The robot on the assembly line is now a familiar image.

Would you trust a robot to tell you how to vote? Scientists from Kimera Systems have developed a robot that will be able to help users make political decisions. The robot named'Nigel' uses artificial intelligence (AI) to become aware of its user's life and utilise the information by offering advice to user's including how to vote. Unlike other AI robots Nigel programmes itself as it goes, rather than teach itself how to perform and effectively carry out tasks. It works solely on how the user is themselves, for example if they offer traits of a left wing supporter he will adapt to that life style.

The earliest forms of banking date back to 2000 BC, while in the United States, the first bank was established in 1791 in the city of Philadelphia. You could say that banks have had a lot of practice knowing what their customers want and how to provide it to them. Banks today are looking to banking automation in the form of cognitive computing for a'no touch' automated solution for frequent and routine requests, and to carry them out mistake-free. A report from the IBM Institute of Business Value explains that these financial institutions are in a new industrial revolution, one where they must transform and embrace new cognitive technology to reduce their costs and risk, while enhancing the value and experiences for their customers. There is a simple concept for a financial institution to both deliver a more refined customer experience as well as cut costs in customer service: eliminate the mundane.

This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative can originate from both the human and the robot. The framework, based on a biologically-grounded theory of the brain and mind, integrates a reactive interaction engine, a number of state-of-the-art perceptual and motor learning algorithms, as well as planning abilities and an autobiographical memory. The architecture as a whole drives the robot behavior to solve the symbol grounding problem, acquire language capabilities, execute goal-oriented behavior, and express a verbal narrative of its own experience in the world. We validate our approach in human-robot interaction experiments with the iCub humanoid robot, showing that the proposed cognitive architecture can be applied in real time within a realistic scenario and that it can be used with naive users.

Whether you're interested in cognitive computing, artificial intelligence or machine learning, you probably know that the fourth industrial revolution is well underway and accelerating rapidly. The speed of change presents a challenge to developers who want to stay abreast of the latest ideas and approaches. Conferences, workshops and other meetings provide opportunities to learn where the jobs and technology is headed and a chance to learn and practice the skills necessary to keep up. Why you should attend: AI engineers, practitioners, researchers and scientists will discuss the latest developments in the field, while tutorials and workshops will give attendees a chance to hone their skills. Speakers will be drawn from a wide variety of sectors, including Microsoft, MIT, the National Science Foundation and NASA Ames Research Center.

Half of 6,000 surveyed global CEOs plan to adopt cognitive computing by 2019, according to a new IBM Institute for Business Value study. All respondents said they anticipate a 15% return on investment from cognitive initiatives, according to an IBM press release. The study also found more than 70% of CEOs believe cognitive computing will be a significant factor in their organizations' future. Respondents indicated their first priorities will be to apply cognitive computing in specific business functions including information technology, sales, information security and innovation, according to IBM. Clearly, companies see the potential in cognitive computing.

The prospect of lower costs and bigger markets is driving the adoption of AI in retail banking and wealth management, writes Aggie Anthimidou. It doesn't take a super computer to work out that artificial intelligence is going to make banking more effective. Banks have been using basic customer data to sell more products to the right people for decades. The ability to crunch more data, in real time, and learn from customer behaviour means they can refine this process to the nth degree. According to research group Forrester, AI will be one of the 15 fintech technologies to watch over the next four years.