With artificial intelligence putting productivity on hyperspeed, the painstaking but often slow nature of dealing with other countries, as well as policymaking, is also forced to speed up. But a panel at the forefront of these changes at the BRIDGE Summit in Abu Dhabi--which convenes creators, policymakers, investors, technologists, media institutions, and cultural leaders around the world to discuss the future of media--said that breaking things fast is not without consequences. "Decision makers are being asked to make decisions very quickly on the basis of information that may not be verified or verifiable," Elizabeth Churchill, a professor of Human-Computer Interaction from the Mohamed Bin Zayed University of Artificial Intelligence, told moderator Nikhil Kumar, an executive editor at TIME, which is a media partner of the BRIDGE Summit. Churchill, who held senior roles in firms like Google and Yahoo, said she returned to academia to explore transparent and "interrogable" AI tools and content that is effectively watermarked--so that decision-makers know at a glance if information is trustworthy. She said current shortfalls in information quality are "very much a design problem that sits at the surface of all of the tools that we use and in diplomacy conversations many different people are using."

Cruise co-founder and CEO Kyle Vogt has resigned. In his announcement on X, the 38-year-old exec expressed that "the last 10 years have been amazing," while reminding us that "the startup I launched in my garage has given over 250,000 driverless rides across several cities." As to what Vogt is doing next, he plans on taking a break first to "explore some new ideas." Vogt had previously co-founded video platforms Justin.tv, According to TechCrunch, General Motors has since promoted Mo Elshenawy, Executive Vice President of Engineering at Cruise, to President and CTO of its robotaxi subsidiary.

After Google I/O and ahead of WWDC, it's Microsoft's turn to step up to the plate and host a developer conference. We'll learn a lot about where the company plans to go in the coming months, with the keynotes covering many of the major updates. The first keynote starts at noon ET today. It won't be a surprise to anyone who's paid attention to Microsoft this year that AI is the focus of Build 2023. Today's keynotes will take place across three back-to-back sessions: "Microsoft Build opening," "The era of the AI Copilot" and "Next-generation AI for developers with the Microsoft Cloud."

This article is part of a VB Lab Insights series on AI sponsored by Microsoft and Nvidia. Don't miss additional articles in this series providing new industry insights, trends and analysis on how AI is transforming organizations. Scaling artificial intelligence (AI) is tough in any industry. And healthcare ranks among the toughest, thanks to highly complex applications, scattered stakeholder networks, stringent licensing and regulations, data privacy and security -- and the life-and-death nature of the industry. "If you mis-forecast an inventory level because your AI doesn't work, that's not great, but you'll recover," says Peter Durlach, Executive Vice President and Chief Strategy Officer of Nuance Communications, a conversational AI company specializing in healthcare. "If your clinical AI makes a mistake, like missing a cancerous nodule on an X-ray, that can have more serious consequences." Even with the current willingness of many organizations to fund AI initiatives, many healthcare organizations lack the skilled staff, technical know-how and bandwidth to deploy and scale AI into clinical workflows.

In a world of infallible artificial intelligence, computers could do most of our work for us. Robots and autonomous vehicles could shop and deliver our groceries. Systems could ensure we don't break our budgets. AI could operate our transit -- planes, trains and cars -- without human assistance, and even make our dinner. But the current reality is that while there has been progress, humans are still required to do most jobs.

Artificial Intelligence (AI) is built on data. Yet, many organizations are still finding it hard to implement AI properly to make the most out of their data. There are concerns that the AI is not able to comprehend the data the way they want it to, especially with more businesses having their data stored across the multi-cloud and even on-premise. When it comes to data analytics, SAS has been a household vendor in the industry for years. The data analytics leader continues to pioneer new innovations when it comes to providing businesses with the insights they need in the best way possible.

Mike Chapple is Teaching Professor of IT, Analytics, and Operations at the University of Notre Dame's Mendoza College of Business where he teaches graduate and undergraduate courses in cybersecurity and business analytics. Prior to joining Notre Dame's faculty, Mike served as Senior Director for IT Service Delivery at the University. In this role, he oversaw the information security, IT compliance, cloud computing, data governance, IT architecture, learning platforms, project management, strategic planning and product management functions for the Office of Information Technologies. Mike led Notre Dame's Cloud First strategy which moved 80% of the institution's IT services into the cloud over three years. Mike previously served as Senior Advisor to the Executive Vice President at Notre Dame for two years.

Executives across industries are turning to automation to deliver on cost optimization and enhanced productivity objectives, Saikat Ray, VP analyst at Gartner, told CIO Dive in August. The robotic process automation software market will reach $2.9 billion by the end of 2022, up 19.5% from 2021, according to Gartner. In recent years, large UiPath bank customers have been using automation tools to facilitate initiatives that include data extraction and data transfer efforts to support the merger of BB&T and SunTrust; reduction of manual work for Wells Fargo contact center agents through digital personal assistants; and the delegation of some structured, rule-based repetitive tasks to bots at JPMorgan Chase. From JPMorgan Chase's perspective, one of the next steps on its automation journey will include using bots to tackle more sophisticated tasks, including delving into unstructured processes and unstructured data, and using machine learning to facilitate these efforts, said Shefali Shah, managing director of global digital transformation and integrated intelligent automation at JPMorgan Chase. Diana Caplinger, executive vice president and head of enterprise enablement and intelligent automation at Truist, said the company is deploying automation in support of "integrated relationship management," an effort to use data across the organization to deliver more personalized service to clients.

Many have hailed the potential of artificial intelligence to transform healthcare. Michael Howell, Google's chief clinical officer and deputy chief health officer, says, "It's hard to imagine a technology that is more hyped than AI." Even so, Stephen Parodi, executive vice president of The Permanente Federation, says, "Widespread AI use in healthcare is still in its infancy." Still, many are projecting significant growth in the prevalence of AI in medicine in the near future. During a one-hour forum hosted by The Permanente Federation Monday, healthcare leaders, all physicians, assessed the possibilities of AI, the keys to success, and expectations on its future uses.

Across the country, artificial intelligence is powering machines and computers to help us solve problems and work more efficiently. It's assisting scientists to develop vaccines and treat patients more effectively, securing our nation's networks and critical infrastructure against cyberattacks, alerting customers of bank fraud and expanding financial opportunities for underserved communities through access to credit, and much more. AI is rapidly changing how businesses operate--and is foundational to a thriving 21st-century economy. By 2030, 70% of businesses globally expect to use AI. Around the world, AI is estimated to boost global GDP by 14% over the same period, accounting for nearly $16 trillion of economic output.