This is the last newsletter of a year that has been magical for us. We have hosted events, invited some of the best experts on AI, and we had the opportunity to create a vibrant community.
We wouldn’t be where we are without you all – thank you, Merry Christmas and a Happy New Year.
What happens to human jobs when robots arrive? If there is one thing on which almost all economists agree, it is that digital technologies are performing many jobs once done by humans. Though, consider the findings of Benjamin Shestakofsky, an anthropologist who spent 19 months inside a California company that uses digital technologies to connect buyers and sellers of domestic services. He initially assumed that his research would show how machines were replacing human workers, instead he realised that the company was growing so fast that it was constantly drafting more
humans — not robots — to monitor, manage and interpret the data.
A talk with Chris Nicholson, founder and CEO of the deep learning company Skymind, to discuss where the future of AI is heading. “Deep learning and AI in general are a set of analytical tools that can tell companies precisely what their data contains. So for the first time, they can know what’s going on: with customers, employees, market conditions, factories and products. That knowledge can serve as the basis of action. So enterprise-level applications answer the question: What’s happening? Or what’s about to happen?”
For many shoppers the end of the year signals a clamour for bargains and plans for big new year projects like home renovations. For retailers, this means potential for big business. So how can retailers maximise this peak sales period through new technology?
Bridgewater Associates has a team of engineers working on a project to automate decision-making to save time and eliminate human emotional volatility: the software is set to automate the day-to-day management of the firm, including hiring, firing and other strategic decision-making. “The role of many remaining humans at the firm wouldn’t be to make individual choices but to design the criteria by which the system makes decisions, intervening when something isn’t working,” wrote the Journal, which spoke to five former and current
Virtual health coaches driven by artificial intelligence can improve patient-provider communication in the clinic setting by helping to activate patients in their care and encourage them to initiate healthy lifestyle discussions with their clinicians, according to a study published in the American Journal of Managed Care.
According to the researchers, a virtual health coach (VHC) that leverages natural language understanding similar to Apple’s Siri can guide patients in “conversations” about their health needs.
Just in the past year tech companies have argued with the governments on a global scale, faced unprecedented criticism and have risen to even a more powerful place as they continue to remain at the forefront of everyday life.
Our case study today discusses handling complexity without automation. The answer? Impossible.
We humans can struggle with complexity, especially on an ongoing basis which is why it is not possible to write truly reliable software.
“Today’s dialog technology is mostly orthogonal,” explains Dan Klein, co-founder and chief scientist of Semantic Machines. “You want a conversational system to be contextual so when you interpret a sentence things don’t stand in isolation.”