I've already posted about it here and here on the blog: Artificial intelligence will be one of the dominant topics in the coming years. According to research from Gartner, within the decade AI will develop into a mass trend. The post ONTAP AI: A Look Back at the Last 6 Months of Innovation appeared first on NetApp Blog.
Last week I attended the Oracle Open World Europe 2019 in London. At this event Andrew Sutherland VP of technology told us that security was one of the main reasons why customers were choosing the Oracle autonomous database. This is interesting for two reasons firstly it shows that security is now top of mind amongst the buyers of IT systems and secondly that buyers have more faith in technology than their own efforts. The first of these reasons is not surprising. The number of large data breaches disclosed by organizations continues to grow and enterprise databases contain the most valuable data.
It's an understatement to say that today's consumers expect a lot. To create and reinforce loyalty, retailers need to fulfil lofty expectations by creating customer experiences that are targeted and timely. And in order achieve this level of intimacy with each customer, retailers need data. With better information, enabled by AI, retailers can create personalized experiences both online and in-store--and with NRF reporting that 79% of consumers make at least half of their purchases in-store, successful brick and mortar retailers are eager to exploit AI tools to improve the in-store experience. Online mega-retailer Amazon attributes 55% of its sales to its recommendation engine, which aggregates variables such as prior purchases, purchases made by people with similar interests, purchasing frequency, and more.
Oracle OpenWorld -- Finance teams lack the digital skillset to embrace the latest advancements in artificial intelligence, causing a negative impact on revenue growth, according to a new study from the Association of International Certified Professional Accountants (the Association) and Oracle (ORCL). The study of more than 700 global finance leaders found that despite a clear correlation between the deployments of AI and revenue growth, 89 percent of organizations have not deployed AI in the finance function and only 10 percent of finance teams believe they have the skills to support the organization's digital ambitions.
In my twelve years at Google, I've seen that big things happen when you don't shy away from big ideas--especially when you pair those ideas with emerging technology. We're trying to encourage more of that kind of thinking with the Google AI Impact Challenge, a call for organizations to use AI to help address social, humanitarian and environmental problems. Before you read on, remember this: there are only seven days left to apply to the Challenge! Hundreds of nonprofits and research organizations have already applied, and there's good reason for all the excitement. Recently, we collaborated with McKinsey on research to identify ways AI can drive social change.
In 2018, the world saw the rise of automated machine learning, deep learning, and - best of all - real-life applications of these technologies, all of which have started to pave the path to Enterprise AI. But there's still a long way to go: here are our top four trends to watch for AI in the Enterprise in 2019:
In 10 years, fewer workers will be tasked to support a growing population of nonworkers, and labor supply will shift to undeveloped regions of the world that are less educated and less technically skilled. Planning for this talent shift is just one area on which supply chain leaders will need to focus to build a successful future supply chain. Supply chain leaders want to make the right business decisions and invest in the right technology to prepare their organization for the future. However, there are so many factors to consider and so many unknown variables that "getting it right" seems almost impossible. "Understanding trends and impacts is a challenging task for supply chain leaders responsible for identifying and putting in place strategies to build the right set of capabilities," says Steven Steutermann, Managing Vice President at Gartner.