If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
CFOs are planning to implement advanced technologies, including artificial intelligence, drones, robots and blockchain, at a rapid rate, according to a new survey by Grant Thornton. For the study, GT and CFO Research polled 378 senior finance executives about the ways technology is transforming nearly every division in their organization, especially the finance function. One out of four of the respondents said they use AI, compared to just 7 percent last year. Significant proportions of senior financial execs are currently implementing advanced analytics (38 percent) and machine learning (30 percent). Within two years, senior financial execs plan to roll out a battery of new technology, such as AI (41 percent), blockchain (40 percent), robotic process automation (41 percent) and drones and robots (30 percent), at their organization.
CFOs have increased their bets on artificial intelligence, machine learning, robotic process automation, analytics and blockchain as they are looking automate to boost savings, efficiency and agility, according to a Grant Thornton survey. Grant Thornton and CFO Research surveyed 378 senior finance executives from companies with revenue between $100 million and more than $20 billion. The findings reveal that CFOs are ready to invest heavily in emerging technologies as well as digital transformation. The digital transformation journey will also require CFOs to alter their mindset when it comes to technology investments. CFOs must be willing to experiment--and incur failures along the way--or risk falling behind.
According to research by analyst house IDC, economic and political instability in Latin America, coupled with presidential elections hampered technology in the region last year, particularly in Brazil, Mexico and Colombia, which collectively represent 66 percent of the region's GDP. But this is all set to change in 2019, according to the analyst firm, as the region will join the global move towards digital transformation, with an accelerated pace in innovation and spending on digital assets. According to IDC Latin America, IT spending in Latin America between 2019 and 2022 should reach $380 billion. Some 54 percent of the companies polled by the firm said they will increase IT spending, and only 17 percent plan to spend less than in 2018. In 2019, what the analyst defines as "third platform" technologies - so mobility, cloud, big data and social media - will represent approximately half of Latin organizations' budgets and grow by 5 percent on average.
The UK's National Health Service continues to suffer the longest funding squeeze since it was established 71 years ago. That financial pressure has resulted in the service missing targets for how soon cancer patients should be referred for treatment for the past three years and waiting times in Accident and Emergency departments being at record levels. Such is the financial and staffing pressure on the service, that talking about how recent advances in artificial intelligence (AI) could be applied to the NHS might seem fanciful. Yet Professor Tony Young, national clinical director for innovation at NHS England, believes healthcare is at an inflection point, where machine-learning technology could fuel huge advances in what's possible. "I think that healthcare is heading for one of those giant-leap moments in the next five to 10 years and AI is going to be a key tool in enabling us to take that giant leap," he said, speaking at an event in London organized by The King's Fund and IBM Watson Health.
On one hand, we know AI is the future of business. After all, manpower simply isn't fast enough to keep up with the pace of consumer demand. That said, there's a big difference between knowing AI is the future and actually implementing AI within your business successfully. That latter part--AI adoption--is where many companies are finding themselves stuck. No one said digital transformation would be easy--but you're not alone if you assumed AI adoption would be a cakewalk.
Artificial intelligence is one of the hottest tech trends right now, and most investors who have considered riding the AI wave have probably gotten their fill of suggestions to buy Alphabet, Microsoft, NVIDIA, and a host of other major tech players. There's no doubt these companies will benefit from AI, but they won't be the only ones. If you're looking for a few companies that are using AI to boost their businesses -- but are off the well-worn AI path -- you may want to consider what Splunk (NASDAQ:SPLK), Nutanix (NASDAQ:NTNX), and Zillow (NASDAQ:Z)(NASDAQ:ZG) are doing with AI. Splunk is a hybrid cloud-computing platform company that helps businesses collect and categorize their data so they can better understand how to use it. Think of it this way: Companies are generating so much data from their customers that they're having a hard time making sense of it all.
A survey of over 1,200 executives has just revealed that despite massive and increasing investments in digital transformation and technologies such as artificial intelligence and big data, companies are struggling to turn those investments into real business results. A survey unveiled today by Deloitte has found that the number of companies investing heavily in digital transformation has almost doubled in the past year. The accounting and services giant questioned 1,200 executives at organizations of at least 500 people with above $250 million in revenue, finding that 19% planned to invest $20 million or more during 2019. When asked the same question at the start of 2018, 10% gave that answer. Despite Massive Investments In AI And Digital Transformation, Survey Finds Poor Results And 7 Enabling Capabilities The term "digital transformation" has come to mean steps that move an organization towards adopting data-driven business models, typically involving artificial intelligence (AI), big data and predictive analytics technology.
With digital video content creation going viral and assuming the bulk of Internet traffic, how can the deluge of video content be analyzed effectively to derive insights and ROI? After all, video is not only huge in size, but it is complex given various visual, audio and temporal elements. Video summarization (a mechanism for generating a short video summary via key frame analysis or video skimming) has become a popular research topic industry-wide and across academia. Video thumbnail generation and summarization has been developed for years, but deep learning and reinforcement learning is changing the landscape and emerging as the winner for optimal frame selection. Recent advances in Generative Adversarial Networks (GANs) are improving the quality, aesthetics and relevancy of the frames to represent the original videos.
Bert Loomis was a visionary. This general session will highlight how Bert Loomis and people like him inspire us to build great things with small inventions. In their general session at 19th Cloud Expo, Harold Hannon, Architect at IBM Bluemix, and Michael O'Neill, Strategic Business Development at Nvidia, will discuss the accelerating pace of AI development and how IBM Cloud and NVIDIA are partnering to bring AI capabilities to "every day," on-demand. They will also review two "free infrastructure" programs available to startups and innovators. Speaker Bios Harold Hannon has worked in the field of software development as both an architect and developer for more than 15 years, with a focus on workflow, integration, and distributed systems.