Artificial Intelligence has begun to enter every spectrum of business and every day life. We have started experiencing transformation in travel, entertainment, shopping, food delivery, banking, learning, personal assistants, to name a few. In many of these examples, AI is playing assistive, augmentative or sometimes, autonomous force. Competitive forces impacted by AI are acting as triggers for large well-established businesses to rethink their business models in order to survive and avoid extinction in some cases and in others to create new growth trajectories and build on their brand legacies. Therefore, rather than flighting the progression of technology or AI, the success of leadership lies in deploying AI in smart ways that would benefit the business.
On Jan. 15, FBI agents arrested Jerry Chun Shing Lee, a former CIA case officer, and charged him with unlawful retention of classified information. Lee is the sixth person charged by the Justice Department in the past two years for espionage-related offenses suspected to have been conducted on behalf of the People's Republic of China. By comparison, prior to 2015, only one or two people on average per year were arrested for such offenses. The increased frequency of arrests--coinciding with a public March 2016 announcement by the Chinese government that intelligence efforts would be more heavily resourced--may indicate that China is scaling up traditional human intelligence efforts against the United States government. Lee's arrest seemingly stemmed from FBI agents' discovery of classified information in his notebooks in 2012.
Data has become the most valuable currency in business. But without the right tools or intelligence, its true value will not be realised. According to a MiQ survey, 43 per cent of US and UK brand marketers think that the lack of measurement of business impact, such as sales or growth, is the main hurdle to investing more in data analytics. But if marketing metrics are not the same as business goals, why are campaigns measured against them? Marketing should align with the same goals as the rest of the company, in order to measure tangible business results.
When it comes to artificial intelligence (AI), the dominant media narratives often end up taking one of two opposing stances: AI is the saviour or the villain. Whether it is presented as the technology responsible for killer robots and mass job displacement or the one curing all disease and halting the climate crisis, it seems clear that AI will be a defining feature of our future society. However, these visions leave little room for nuance and informed public debate. They also help propel the typical trajectory followed by emerging technologies; with inevitable regularity we observe the ascent of new technologies to the peak of inflated expectations they will not be able to fulfil, before dooming them to a period languishing in the trough of disillusionment. There is an alternative vision for the future of AI development.