Artificial intelligence (AI) is coming to your iPhone soon and, according to Apple, it's going to transform the way you use your device. Launching under the brand name "Apple Intelligence" the iPhone maker's AI tools include a turbocharged version of its voice assistant, Siri, backed by a partnership with ChatGPT owner OpenAI. The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link. The technology is already available on smartphones including Google's latest Pixel and Samsung's Galaxy range. Yet the vast amounts of data needed by AI are leading to concerns about data privacy.

Tom Newhouse, vice president of Convergence Media, discusses the potential impact of artificial intelligence on elections after an RNC AI ad garnered attention. A Marine veteran lawmaker says the U.S. should be pushing for a new international agreement to govern the use of artificial intelligence on the battlefield and believes it's a "strategic mistake" the Pentagon hasn't started this important task. Rep. Seth Moulton, D-Mass., said the U.S. needs to work with other military powers to flesh out rules of the road on how AI can and cannot be deployed by military forces before AI becomes much more advanced. "When we get to the point of having killer robots, it's going to be a real problem for us if we don't have some established international norms for their use," Moulton told Fox News Digital. "Adversaries like China and Russia -- which don't care about collateral damage, they don't care about civilian casualties, they don't care about human rights -- they're going to have an advantage in making their robots more lethal because they'll be less constrained."

You want success over the coming months and years? The number-one way to get there is through people -- building businesses through their creativity, passion, and full participation in decision-making. But right behind empowered people is the number-two vital ingredient for success: data. Data that can reveal to you what your customers want, how your business is running, and what's around the corner. Now, we have the key that unlocks the patterns that have long been hidden away in databases and applications.

We are well past the hype of AI, and it is becoming clear that the technology's greatest problems revolve around making profits instead of how to make it useable. AI can provide immense value to many companies thanks to the increasing number of AI specialists and machine learning services. Companies often fail to cover initial investment when deploying AI. This seems contradictory, doesn't it? According to a recent IBM study, only 21% are capable of integrating AI into their business operations.

Artificial intelligence has demonstrated immense promise when applying machine learning to support the overall processing of large datasets, particularly in the banking and financial services industry. Sixty percent of financial services companies have implemented at least one form of AI, ranging from virtual assistants communicating with customers and the automation of workflows to managing fraud and network security. Despite these advancements in efficiency and automation, complexities from the inner workings of AI models often create a "black box" issue. This largely stems from lack of understanding of how the system works and a continual concern around opacity, unfair discrimination, ethics and dangers to privacy and autonomy. In fact, the lack of transparency in system operation is frequently linked to hidden biases.

We already know it, artificial intelligence (AI) is reshaping businesses and organizations, although not at the speed some thought. Companies that are successfully adopting AI aren't just launching a few projects to evaluate results. These companies are changing organizational structures, changing how people and teams collaborate, and changing how managers make decisions. Although technology changes and evolves exponentially, the capabilities that we develop for one of them, for example AI, will be there and will be necessary for the next technology. In other words, we are building new organizational capabilities to understand, take advantage of and exploit new technologies.

Ever since I can remember, artificial intelligence has been the holy grail. Films have portrayed it, from BladeRunner to the more recent Her. In the meantime, business leaders promised it would revolutionize the workplace. In both cases, we've been presented with scenarios in which AI transforms the daily grind. Indeed, AI has been talked about as a scientific discipline since 1956.

Three-quarters of government decision-makers struggle to select the right artificial intelligence solutions for their projects, a new report found. Still, 61% of respondents to a KPGM survey said AI is moderately to fully functional in their organization, according to "Thriving in an AI World," a report the professional services firm released March 9. And in the next two years, respondents said they plan to use AI to improve process automation (48%) and analytics (40%). To determine the best AI solutions, agencies must first define their use case, said Rob Dwyer, KPMG advisory principal specializing in technology in government. Robotic process automation is a common entry point to AI in the public sector because vendors in that area are well established, and it's relatively easy to earn small wins that can drive support for other AI efforts, he said.

Are you prepared for AI implementation? Do you know what your accompanying data strategy should be? If not, it is likely you aren't alone. According to research by Secondmind, 82 per cent of supply chain managers are frustrated by AI systems and tools during the coronavirus pandemic. In its survey of 500-plus supply chain planners and managers across Europe and the United States, 37 per cent cited a lack of reliable data to feed into AI systems as a concern, at a time when accuracy and speed of decision-making were of the essence.

With how pervasive artificial intelligence (AI) is these days, executives--up to 85% of executives, in fact--know AI can fundamentally change their businesses. Organizations can look to use AI for everything from automating back-office processes to improving customer experience. In today's COVID-19 era, companies are adopting automation technologies to help compensate for disruption of core operations. Despite this enthusiasm, 76% of organizations surveyed barely broke even with their investments in AI capabilities. Only 6% had AI initiatives scaled across the enterprise, according to the Analytics Maturity Model (AMM) survey, developed jointly with Carnegie Mellon University through the Digital Transformation and Innovation Center sponsored by PwC.