It's difficult to stand out in the battle-royale genre right now. Fortnite's bright and zany combat has attracted over 125 million players, while PUBG stands firm with its slower, military-inspired shooting. Blockbuster franchises such as Battlefield and Call of Duty are readying modes inspired by the pair's breakout success. If you're a newcomer like Automaton, a 40-person studio based in Cambridge, England, how do you differentiate and, more importantly, persuade people to switch from the competition? Mavericks: Proving Grounds is a hugely ambitious game.

So digital strategy or digital transformation should not be a question! The focus is on how Digital models, blockchain and IoT will be not only transformative but also master tools for business models and people. Context – Digital Matters and needs Masters 7. Digital Identity DIGITAL Evolution @DinisGuarda - Founder and CEO 8. AI, Blockchain, IOT Singularity FOUNDATIONAL TECH EVOLUTION @dinisguarda @DinisGuarda - Founder and CEO 9. Blockchain is a massive excel database of all things digital identity @DinisGuarda - Founder and CEO 10. AI Humans, Creators, Shareholders - Systems @DinisGuarda - Founder and CEO 11. @DinisGuarda - Founder and CEO Centralised, decentralised, distributed? What does the company aim to achieve with content, digital and social media?

There is a growing body of evidence to suggest that digital workplaces are not as "digital" as they might think or that organizations are introducing digital transformation strategies slower than was thought. Recent research from Gartner, for example, shows that many workers believe that the organizations where they work are not keeping up with their digital needs and are out of touch. It also showed that less than 50 percent of workers -- both IT and non-IT workers believe that CIOs know what technology workers want and need. It also showed that there was some difference between the level of awareness of technology problems between Europe and the U.S. Further research from Blue Bell, Pa.-based information management specialist Unisys showed that more than half (51 percent) of digital workers at "technology laggard" organizations expressed frustration with their employer, as compared to only six percent of workers at "technology leader" organizations. The Unisys survey is particularly telling in that it surveyed 12,000 workers in April 2018 across 12 countries to gauge the attitudes of today's digital workers on how the technology used in the workplace impacts their day-to-day lives.

Humanoid robot'Sophia' is presented during the'Impact 2018' digital economy forum on June 13, 2018 in Krakow, Poland. Georges Canguilhem was a French philosopher and physician who worked on the question of technological and automaton bodies, confirming that the model of the human body is neither purely physical, nor purely mechanical, writing in "Machine and Organism": Indeed, the problem of the relations between machine and organism has generally been studied only in one direction: almost always, the attempt has been to explain the structure and function of the organism on the basis of the structure and function of an already-constructed machine. Only rarely has anyone sought to understand the very construction of the machine on the basis of the structure and function of the organism. Canguilhem looks to René Descartes who uses machines to explain bodies as matter born from technology which gave way to a tradition of philosophers and scientists using mechanical models to explain organisms. Canguilhem demonstrates how the human body during the Industrial Revolution was mediated as if it were a machine in the effort to make more efficient the labor process.

Microsoft's facial-recognition technology is getting smarter at recognizing people with darker skin tones. On Tuesday, the company touted the progress, though it comes amid growing worries that these technologies will enable surveillance against people of color. Microsoft's announcement didn't broach the concerns; the company merely addressed how its facial-recognition tech could misidentify both men and women with darker skin tones. Microsoft has recently reduced the system's error rates by up to 20 times. In February, research from MIT and Stanford University highlighted how facial-recognition technologies can be built with bias. The study found that Microsoft's own system was 99 percent accurate when it came to identifying the gender of lighter-skinned people, but only 87 percent accurate for darker-skinned subjects.

Each day, Mark Koh and his team at Kuala Lumpur-based data training & content moderation company Supahands help their clients test the limits of the question'how much data is too much data?' Data drives innovation, but it is only valuable if it is assigned a purpose, and it is only usable if it is organized to serve that purpose. As companies continue to move toward digitization and automation, and more data is at their disposal than ever before, the amount of data requiring cleaning, tagging, and categorizing has exploded. Amazon and Google are two examples of companies that have set themselves apart through data-driven innovation, but many organizations don't have the scale, time or expertise to understand and make use of their data with the speed and accuracy needed to take full advantage of it. That's where Supahands comes in. Headquartered amidst the hustle-and-bustle and congestion of Malaysia's capital city, the Supahands team aims to create a less polluted data universe.

Ngee Ann Polytechnic and Centre for Finance, Technology and Entrepreneurship (CFTE) are about to launch AI in Finance (AIF), the first online programme for finance professionals. Despite the growing hype around Artificial Intelligence (AI), many finance professionals are still unfamiliar with the impact it will have on their industry. Ngee Ann Polytechnic (NP), one of Singapore's leading institutes of higher learning, is partnering with London-based Centre for Finance, Technology and Entrepreneurship (CFTE) to launch the first online course to showcase AI applications and use cases in the banking industry. "AI is a technological driving force that no industry can ignore. Some studies estimate that about 50 per cent of today's tasks would be assisted by AI in the next 20 years. With Singapore and London gaining recognition as leading fintech hubs of the world, it is timely for NP and CFTE to launch an industry-led course that provides finance professionals and others a practical guide to AI." "You will also see that a lot more can be automated in future. If you want to keep your job, you need to question both what your role will be in this automated future, and what impact artificial intelligence will have on your area of the business."

"Nothing will affect the future of humanity more than digital super-intelligence." Machines that can "think" like humans and simulate intelligent behaviors...it's the stuff of science fiction, but also of your most recent hotel stay or restaurant experience. Chatbots, robotics, voice-enabled devices and other artificial intelligence (AI) -driven technologies are rapidly being leveraged by hotels and restaurants of all sizes to enhance the guest experience. In doing so, they are part of a broader trend. Hospitality Technology's own research indicates as much.

France-based adtech outfit Criteo has announced the launch of a €20m three-year project to further research in the field of artificial intelligence (AI) that will see it work with clients and partners alike to further the use of machine learning in the advertising vertical. Dubbed Criteo AI Lab, the project will see it attempt to build "deep models that are interpretable, transparent and user-centric" then use these insights to form "industry standards for performance measurement and best practice", with the subsequent learnings to be made available to the entire industry. Criteo claims the project will also explore models for the responsible use of data – an increasingly high priority for advertisers as demonstrated by the Cambridge Analytica affair, as well as the introduction of General Data Protection Regulations (GDPR) in the EU – with the company asserting the scheme will also help bridge theory and practice. Additionally, the adtech company claimed it is preparing a significant recruitment drive to man the project which is geared towards establishing Paris as a regional hub for AI research. JB Rudelle, Criteo, chief executive officer, said the lab was indicative of the company's efforts to establish the French capital as an epicenter for European adtech, as well as lead the industry conversation around machine learning.

Fully understanding consumer behaviour can be very challenging for marketers. In light of recent high-profile cases of personal data misuse, customers have been increasingly sceptical about giving up their personal data, preferring to share content privately through messaging apps such as WhatsApp, Snapchat or Messenger. At the same time, GDPR regulations mean businesses are unable to use vast quantities of data they collect on customers without their express permission. This means that, rather than offering personalisation, marketers have to rely on creating "personas" – types of customers they can target who don't require personally identifiable information. Coupled with this, they are increasingly turning to the latest augmented or artificial intelligence technologies to build a better picture of consumers and how they are likely to behave in their decision making. One company at the forefront of the AI revolution, IBM, has reinvented its offerings over the course of a century.