AI is changing more than what computers can do and how we communicate and interact with technology. AI is changing the very nature of work, of hiring, reinforcing the imperative for life-long learning, and serving as a catalyst for organisation-wide change. How to Prepare a Generation of AI-first Workers The NHS is set to lose an estimated 350,000 staff by 2030 in the UK--a quarter of its workforce. It's a Catch 22 situation: staff are leaving because of their intolerable workloads, caused by an already acute level of staff shortages. While the National Health Service (NHS) has no magic wand to summon up a small army of suitably qualified staff, they are looking to Artificial Intelligence (AI) to help.

As AI and machine learning permeate every sphere of our lives today, it gets easier to celebrate these technologies. From entertainment to customer support to law enforcement, they provide humans with considerable help. Certain things they are capable of are so amazing that they seem almost like magic to an outside observer. However, it's necessary to remember that as astonishing as machine learning-powered tech advancements are, they are still a product created by us, humans. And we can't simply shed our personalities when developing anything, much less an AI – an algorithm that has to think on its own. While developers' personal experiences and beliefs are an indispensable asset in creating ML algorithms, alas, they come at a cost sometimes.

Tune into Property Matters weekly on Dublin South FM from 6-7pm every Tuesday (or catch up via podcast on Spotify, iTunes etc via www.iPropertyRadio.com) On Property Matters this week, hosts Carol Tallon and Bryan Fox are joined in studio by Dr. Houssem Jerbi, CEO of Smart PMO, and Padraig Neylon, CEO of AddJust to talk about how Artificial Intelligence (AI) can de-risk/improve performances across the construction industry and the importance of smart contracts to digitise workflows within construction projects. First up on the show, we discussed a 7,500 word article published by The Currency giving a full overview of Ireland's proptech sector: Virtual realty: Can property technology provide fixes for Ireland's broken housing market? The Currency "Proptech thrives when the property industry fails … smart planning, smart asset management, smart transaction, smart design, smart build, and smart city…." Our first guest in studio this week was Dr. Houssem Jerbi.

Moreland's project combines AI technology with improved cameras on a NOAA turboprop airplane that will fly over the Beaufort Sea north of Alaska this April and May, scanning and classifying the imagery to produce a population count of ice seals and polar bears that will be ready in hours instead of months. Her colleague Manuel Castellote, a NOAA affiliate scientist, will apply a similar algorithm to the recordings he'll pick up from equipment scattered across the bottom of Alaska's Cook Inlet, helping him quickly decipher how the shrinking population of endangered belugas spent its winter.

This 1-day workshop will not only equip artists to understand the implications and opportunities of artificial intelligence but also imagine the appropriate artistic and political responses to world that will be significantly altered by the introduction of these technologies. We need artists not only using these tools, but informing the conversation about how these tools will be deployed, and to whose benefit. This workshop is designed for ALL levels of technical expertise.

Are superhuman computers set to steal our jobs, take over the world and perhaps even kill off humanity? Such fears are commonplace in contemporary culture. Witness how dystopias about super-powerful rogue forms of artificial intelligence (AI), such as Person of Interest, Black Mirror and Ex Machina, have proliferated in recent years. But while scary science fiction may be entertaining, the reality of AI is rather more prosaic – and positive. For good or ill, AI isn't going to be running the world any time soon.

In the breakout session at the workshop on Artificial Intelligence – The India Imperative, scalable approach to building solutions for a billion citizens, by leveraging technologies like #AI & ML were discussed by the participants.

Artificial intelligence (AI) is going to change the way we do business and work as communication professionals. In fact, the revolution has already begun. For communication professionals, it promises to take care of all the mundane tactical activities we currently handle, freeing us to focus on demonstrating our value through the more strategic activities that machines cannot--like influencing the C-suite, connecting our organization's audiences and stakeholders and creating meaning in a world fraught with change. But we can't afford to wait any longer. When our organizations seek advice on how best to communicate about AI, we need to be ready to ask the right questions and advise on the right approach. We also need to know what technology is being used and how it will impact on our organizations' stakeholders.

Artificial intelligence is a hot topic these days. Headlines touting its use in everything from drug discovery to the integration of voice-activated virtual assistants into the workplace seem to pop up daily. Along with these headlines comes no small amount of concern that this technology is on the verge of displacing millions of workers. While fears of being replaced by a machine are understandable based on history--according to the Bureau of Labor Statistics, there are 7.5 million fewer manufacturing jobs in the US today than in 1980, and automation (along with China) is often blamed--the reality is, AI is being introduced into the workplace to augment and help existing employees do their jobs better, not replace them. The reason for this may be very straightforward: as impressive as it is (think self-driving cars or Google's DeepMind beating human Go champions) the technology just isn't capable of doing what humans can do.

Since the financial crisis of 2007–09, many companies have applied lean management to improve cost efficiencies, customer satisfaction, and employee engagement simultaneously, and many programs have achieved substantial impact on all dimensions. Progress on digital, however, has been more uneven. In the insurance sector, for example, an October 2016 FIS study found that 99.6 percent of insurers surveyed admitted they face obstacles in implementing digital innovation, while 80 percent recognize they need digital capabilities to meet business challenges. This difficulty has been compounded by the boom in "insurtech" investments in 2016--topping $3.5 billion in funding across 111 deals since 2015. As macroeconomic conditions continue to put pressure on profit margins across sectors, cost productivity and unlocking new value are back at the top of the senior-management agenda.