Daniel Burrus is considered one of the world's leading futurists on global trends and innovation. The New York Times has referred to him as one of the top three business gurus in the highest demand as a speaker. He is a strategic advisor to executives from Fortune 500 companies, helping them to accelerate innovation and results by develop game-changing strategies based on his proven methodologies for capitalizing on technology innovations and their future impact. His client list includes companies such as Microsoft, GE, American Express, Google, Deloitte, Procter & Gamble, Honda, and IBM. He is the author of seven books, including The New York Times and Wall Street Journal best-seller Flash Foresight, and his latest book The Anticipatory Organization.

Machine learning is becoming more prevalent than ever before and is slowly integrating into our day–to–day lives. From maximizing efficiency in the workplace to better understanding how consumers emotionally connect to brands, services and products, the applications of artificial intelligence seem limitless. But some industries have been quicker than others to adopt this frontier technology. Since major shifts can be disruptive, planning ahead can help avoid some of the growing pains. That's why I asked members of the Young Entrepreneur Council: The analysis is supposed to be what humans bring to data, but programs are getting better and better at identifying trends before a human would have noticed them.

At Chordify we love two things: music and technology. Luckily, one does not exclude the other. But, becoming more and more pressing nowadays is the question: will we, humans, become orphaned in the marriage between music and technology? During the Eurosonic Noorderslag conference we presented this question to a panel of experts: Tjeerd Bomhof (lead singer of Voicst and his solo project Dazzled Kid), Colin Benders (from Kyteman), and Matt McVicar (from the British music and artificial intelligence company Jukedeck). The panel is hosted by our own music and technology expert, CEO of Chordify, Bas de Haas.

In the past a healthcare worker would made a twice or four-times a day visit for those in care; coming in is a room equipped with sensors and cameras; elderly people wearing monitoring wristbands; the deployment of biomimetic companion robots, each sending vital signs to a data hub which is interpreted by artificial intelligence. One example of an artificial intelligence driven assisted living platform is CarePredict's Tempo, a collaborative product between the companies CarePredict and LifeWell Senior Living. Tempo is a care coordination platform designed for senior living communities, combining Artificial Intelligence and smart location technology to measure activity and behavioral patterns of seniors. Remote reporting The Tempo system allows for remote reporting to care home staff and family members, measuring important in the daily activities of people in care like sleeping patterns, toileting, movement, hydration, eating, and socialization. Through monitoring care home staff can be proactive in providing early interventions and also avoiding unnecessary'false alarms'.

In the past a healthcare worker would made a twice or four-times a day visit for those in care; coming in is a room equipped with sensors and cameras; elderly people wearing monitoring wristbands; the deployment of biomimetic companion robots, each sending vital signs to a data hub which is interpreted by artificial intelligence. One example of an artificial intelligence driven assisted living platform is CarePredict's Tempo, a collaborative product between the companies CarePredict and LifeWell Senior Living. Tempo is a care coordination platform designed for senior living communities, combining combines Artificial Intelligence and smart location technology to measure activity and behavioral patterns of seniors. Remote reporting The Tempo system allows for remote reporting to care home staff and family members, measuring important in the daily activities of people in care like sleeping patterns, toileting, movement, hydration, eating, and socialization. Through monitoring care home staff can be proactive in providing early interventions and also avoiding unnecessary'false alarms'.

One example of an artificial intelligence driven assisted living platform is Caremerge, which is a digital healthcare startup. The company offers a care coordination platform designed for senior living communities. On the other side, appropriate software can also determine if an'alert' is genuine or false. Remote reporting Caremerge, according to Forbes, provides services like motion detectors that can alert staff if an elderly person was to fall over. A further functionality of the service is the ability to help to keep families up to date on the services provided by the care home through remote reporting.

Machine learning is becoming more prevalent than ever before and is slowly integrating into our day–to–day lives. From maximizing efficiency in the workplace to better understanding how consumers emotionally connect to brands, services and products, the applications of artificial intelligence seem limitless. But some industries have been quicker than others to adopt this frontier technology. Since major shifts can be disruptive, planning ahead can help avoid some of the growing pains. That's why I asked members of the Young Entrepreneur Council: The analysis is supposed to be what humans bring to data, but programs are getting better and better at identifying trends before a human would have noticed them.

Machine learning is becoming more prevalent than ever before and is slowly integrating into our day–to–day lives. From maximizing efficiency in the workplace to better understanding how consumers emotionally connect to brands, services and products, the applications of artificial intelligence seem limitless. But some industries have been quicker than others to adopt this frontier technology. Since major shifts can be disruptive, planning ahead can help avoid some of the growing pains. That's why I asked members of the Young Entrepreneur Council: The analysis is supposed to be what humans bring to data, but programs are getting better and better at identifying trends before a human would have noticed them.

Business leaders all over the world are waking up to the fact that artificial intelligence is no longer confined to science fiction movies but could in fact disrupt their industry. A recent survey of the world's top CEOs indicated that 50% believe AI will revolutionise their business in the next 3-5 years, making now a crucial time to plan and implement a roadmap to integrate AI solutions into many businesses. The AI Summit 2016 is the world's only event dedicated to the practical implications of Artificial Intelligence for enterprises and is aimed at providing business leaders with a forum to learn about the latest developments in intelligent solutions that threaten to disrupt their industry. The event brings together senior business leaders from 35 countries and offers a comprehensive overview of all the technologies under the AI umbrella including Machine Learning, Deep Learning, NLP, Voice/Image/Video Recognition and Cognitive Computing; focusing on how these are implemented across industries to help increase productivity while reducing costs. Speakers from around the world include CIOs/CTOs, Chief/Head Data & Analytics Officers, Innovation Heads from BT, Harvard, AIA, AIG, American Airlines, Tesco, VISA, BDP, TVH, Deutsche Bank, MetLife, UK Government, Petrobras, Engie, Toyota, UBER and Goldman Sachs.