After decades of extravagant promises and frustrating disappointments, artificial intelligence (AI) is finally starting to deliver real-life benefits to early-adopting companies. Retailers on the digital frontier rely on AI-powered robots to run their warehouses--and even to automatically order stock when inventory runs low. Utilities use AI to forecast electricity demand. A confluence of developments is driving this new wave of AI development. Computer power is growing, algorithms and AI models are becoming more sophisticated, and, perhaps most important of all, the world is generating once-unimaginable volumes of the fuel that powers AI--data.

The enterprise sector is poised to start spending top-dollar on AI next year, but perhaps the most salient question has yet to be answered: Is this going to make money, or just cost money? The fact remains that there is still a lot of misunderstanding as to what AI actually is, how it integrates into existing processes, and what it can ultimately accomplish. Most potential users are undoubtedly still viewing AI through the lens of traditional software platforms: an integrated suite of programs that is loaded into data systems to perform a stated goal. Not only is this wrong, but it significantly underappreciates the true cost of implementing AI effectively. The mere fact that AI requires substantial compute, storage, and network resources, not to mention the highly-paid data scientists needed to run it, makes it virtually impossible for all but the most well-heeled enterprises to build AI from scratch.

We have great expertise in supporting organization in their management and transformation journey. We also offer a portfolio of innovative recruitment support services (social profiling) and some B2B/enterprise sales training as well. Our capabilities are proven by the appreciation of our customers. On this subject, here is an article about how artificial intelligence can deliver real value to companies: Companies new to the space can learn a great deal from early adopters who have invested billions into AI and are now beginning to reap a range of benefits. After decades of extravagant promises and frustrating disappointments, artificial intelligence (AI) is finally starting to deliver real-life benefits to early-adopting companies.

We need to realize that users start considering the Desktop Web as a limited version of the ultimate User Experience which lives on Mobile! 1 Key Take-Away: Sure, PCs will still be around for a while but within a couple of years, there will be 6 times more Smartphones and Tablets than PCs… (IDC) So, which side of History do you want to be on? Mobile IS the New Internet 4. The Optimal User Experience2 5. • Mobile is your ultimate lever for creating an outstanding Customer Experience (CX), by either accompanying, augmenting or facilitating Customer Journeys • (Mobile) User Experience (UX) is the new enabler of Customer Satisfaction. By investing in delivering an exceptional User Experience, brands are securing higher recurring usage, stronger engagement, higher App ratings, and better conversions • Look beyond your traditional competition. The Mobile OS providers as well as Facebook, Uber, AirBnB, and the likes are setting the bar by which your App will be judged (and rated)! The Optimal User Experience 2 Key Take-Away: Ensure your Mobile properties are optimized to deliver the best User Experience possible.

A survey of 500 chief information officers (CIOs) from around the world by ServiceNow has found that machine learning has arrived in the enterprise, and is making material contributions to everyday work. To realise its full value, technology leaders must find skilled talent to work side-by-side with machines, in addition to redesigning their organisations and processes. CIOs were interviewed in 11 countries across 25 industries, including 46 CIOs in the UK, to uncover the competitive benefits of adopting machine learning and hear how those leaders are driving results. See also: Government CIO I.T. budget breakdown: Gartner IDC estimates that investment in machine learning will nearly double by 2020, and recent analysis shows that machine learning specialists are among the fast-growing roles in IT. Humans are working side-by-side with smart machines for better accuracy, speed and growth of business.

Companies new to the space can learn a great deal from early adopters who have invested billions into AI and are now beginning to reap a range of benefits. After decades of extravagant promises and frustrating disappointments, artificial intelligence (AI) is finally starting to deliver real-life benefits to early-adopting companies. Retailers on the digital frontier rely on AI-powered robots to run their warehouses--and even to automatically order stock when inventory runs low. Utilities use AI to forecast electricity demand. A confluence of developments is driving this new wave of AI development.