The previous article was about deep learning fundamentals. This article is about AI in transportation and fleet management. There are many opinions about how Artificial Intelligence (AI) is going to change the world with expectations about its capabilities for now and in the future. AI simply refers to intelligence displayed by machines in contrast to that displayed by humans. Although humans are intelligent, they cannot be programmed to exceed their current capabilities in the same way a machine can.

To achieve IA implementation success plan for a partnership, and not replacement, between humans and machines. Buy-in is crucial, of course. So educate your workforce about IA and plan for hero moments. Engage the IA experts early to ensure data quality, even if you're just starting to collect data. Depiction of the helpful AI "GERTY" from Moon (2009), directed by Duncan Jones There are several keys to implementing a reliable Intelligence Augmentation (IA) solution that scales and provides maximum value. The technology for AI and IA is the same, but the difference in the end-result can be traced to involvement of subject matter expert humans in the planning of the application and in the use of it (for the previous articles in the series, see the links at the bottom of this post).

Delivery drones could get further by taking the bus. By landing on public transport, the flying vehicles could travel four-and-a-half times as far, making them more useful for carrying packages over longer distances. Drones are agile, fast and energy-efficient, but their measly battery life means they can't fly for long – considerably less than an hour for most consumer models. That's a problem if you want to use them to deliver packages across a large city.

The use of artificial intelligence (AI), cognitive technologies, and robotics to automate and augment work is on the rise, prompting the redesign of jobs in a growing number of domains. The jobs of today are more machine-powered and data-driven than in the past, and they also require more human skills in problem-solving, communication, interpretation, and design. As machines take over repeatable tasks and the work people do becomes less routine, many jobs will rapidly evolve into what we call "superjobs"--the newest job category that changes the landscape of how organizations think about work. During the last few years, many have been alarmed by studies predicting that AI and robotics will do away with jobs. In 2019, this topic remains very much a concern among our Global Human Capital Trends survey respondents.

About US: Wise Guy Reports is part of the Wise Guy Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe.

About US: Wise Guy Reports is part of the Wise Guy Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe.

Shortage of true data-scientists and the increasing demand of AI-ML world, enforced companies like Microsoft, Google, H2O.ai and Data Robots to automate even the machine learning process to make it simpler for people like me or you who has been recruiting novice data scientists and spending money and more importantly time to implement a simple work in the AI-ML world. A few years back when I was in India, everyone coming in the IT field from any stream of education, used to claim themselves as "Engineers". Today's scenario is kind of the same, as many of us are not at all a true data scientist. Just by doing a 12 to 16 months course and learning a few algorithms, one doesn't become "a Scientist". A true scientist is born and grown with a passion for science and that can't be achieved just by doing an online course.

UK government organisations are taking the lead in artificial intelligence (AI) investment despite the various challenges around the implementation of the technology, according to a report by Accenture. The study carried out with McGuire Research polled 300 government executives in Finland, France, Germany, Norway and the UK about the impact and potential for AI on their organisations. It has found that the UK has the highest figures reported among all nations surveyed in terms of current and anticipated AI spending. Some 20% of UK respondents reported annual spending of more than £40m in AI, and nearly half (47%) said their organisation is investing between £12-£40m in AI. "Thanks to increased government funding for AI projects, a strong ability to scale AI investments, and a skilled workforce, the UK will continue to be a world-leader in AI from which our economy will reap benefits in the coming years," said the director of operations, health and public service for Europe at Accenture, Mark Jennings. In addition to the anticipated benefits of increased efficiencies, cost or time savings, as well as enhanced productivity, areas where respondents reported AI is delivering most benefits to public sector bodies are fraud and risk management, cited by 23% of those polled, and customer service (27%).

In this episode, we hear from Bruno Aziza, Group Vice President at AI and Data Analytics at Oracle. Aziza encourages his customers to think of the AI acronym not simply as artificial intelligence, but rather as an "applied and invisible" form of augmentation that allows organizations and individuals to get to their end goals faster. Data analysts spend about 80% of their time just preparing data before it can even be analyzed. By applying AI, that time can be cut to nearly nothing, errors can be reduced, and business analysts can reappropriate their time. This allows companies to analyze more efficiently and ask better questions to create a more productive organization. Listen in to hear Aziza share more, including specific examples of company successes. Aziza also encourages you to learn from customer stories and interviews in his web series, Destination:Insight, on The Oracle Analytics YouTube page. Richard Jacobs: Hello, this is Richard Jacobs with the future tech podcast. I have Bruno Aziza, group vice president of AI data & analytics at Oracle and the website is oracle.com. Large corporations have been around a very long time. How are you doing today? Richard Jacobs: So what do you do as a new position that looks at AI at Oracle? What kind of projects are you working on? Bruno Aziza: Well, thank you and thanks for having me. Thanks for your listeners to take time for us.

More than one-in-four UK business leaders believe a lack of data skills within their organisation (27%) is impacting their ability to deliver engaging, personalised experiences for customers. Adobe's Mind the Data Gap Report surveyed 750 business leaders. Adobe found 22% felt their ability to develop personalised customer experiences was held back by lack of a data-centric culture. Twenty-four percent identified the absence of a unified technology platform as the biggest obstacle. Adobe's Mind the Data Gap fieldwork was conducted by London Research, between June and July 2019. The company surveyed 750 European business leaders, 250 each in the UK, France and Germany.