How can we design meaningful experiences in an era with AI-driven products & services? These questions keep clouding my mind, and I like to give you my take on how I feel about AI & design; what design principles I follow while designing for AI-driven products and services. AI and Machine Learning-based Predictive User Experiences are incredible playgrounds for UX designers. It is the challenging combination of technology and people that make it so hard to design seamless experiences. With the Anticipatory Design Movement, I came across lots of creators, designers and design teams who shared their knowledge and experience about designing for AI.

Here's a question that will keep future Artificial Intelligence (AI) entrepreneurs up at night: How do you manage a product when the software starts writing itself? We're not quite there yet, but as we build smarter, more complex software that has elements driven by AI we're also making less predictable software. We know that AI will bring more capabilities to software, but it will also make software harder to design and manage since it will sometimes behave in unplanned ways. This is just a phenomenon that comes along with making complex systems. And that's where we are going with software.

Here's a question that will keep future Artificial Intelligence (AI) entrepreneurs up at night: How do you manage a product when the software starts writing itself? We're not quite there yet, but as we build smarter, more complex software that has elements driven by AI we're also making less predictable software. We know that AI will bring more capabilities to software, but it will also make software harder to design and manage since it will sometimes behave in unplanned ways. This is just a phenomenon that comes along with making complex systems. And that's where we are going with software.

My (expanded) talking points from a presentation I gave at the Re.Work Investing in Deep Learning dinner in London on 1st December 2015. Keep up to date with AI news through my newsletter on tech, research and venture. It's my belief that artificial intelligence is one of the most exciting and transformative opportunities of our time. Consumers worldwide carry 2 billion smartphones, they're increasingly addicted to these devices and 40% of the world is online (KPCB). This means we're creating new data assets that never existed before (user behavior, preferences, interests, knowledge, connections).

Artificial intelligence is one of the most exciting and transformative opportunities of our time. From my vantage point as a venture investor at Playfair Capital, where I focus on investing and building community around AI, I see this as a great time for investors to help build companies in this space. There are three key reasons. First, with 40 percent of the world's population now online, and more than 2 billion smartphones being used with increasing addiction every day (KPCB), we're creating data assets, the raw material for AI, that describe our behaviors, interests, knowledge, connections and activities at a level of granularity that has never existed. Second, the costs of compute and storage are both plummeting by orders of magnitude, while the computational capacity of today's processors is growing, making AI applications possible and affordable.