A brief overview of:
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It is a common fear that AI is going to takeover people’s jobs – but will it? AI will most likely be adopted by your business and creep into your work and Morgan Stanley is the first to say that artificial intelligence is taking over their employees’ tasks. Be prepared for what the future might hold because of AI. To receive a copy directly into your inbox email carson.bunting@iqpc.com.
Artificial Intelligence is expected to permanently change the banking industry in profound ways during the coming months and years. Companies want to seek a competitive edge by implementing more technology to achieve improvements in speed, cost, accuracy and efficiency. In this report you'll learn 4 prominent ways that bots are disrupting the banking industry.
In this article, Lee Coulter, CEO Ascension Shared Services, Ascension, discusses the state of the market.
The state of the market is that some distinct patterns are emerging. The words Digital Transformation have been both extraordinarily ambiguous and remarkably ubiquitous in consultants’ speak. Now, they’re beginning to take some level of shape. What we’re really beginning to understand is that RPA - which is an incredibly useful harvester of tasks is an almost essential gateway to the more sophisticated digital transformation capabilities.
In an industry as complex and highly regulated as life sciences, how does one get started on their company’s intelligent automation journey? With the help of various industry leaders, we created this industry-specific, step-by-step guide, on how to effectively:
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As the automotive industry moves towards autonomous driving, today’s new cars gather and process increasingly vast amounts of data. Vehicles equipped with an array of sensors and cameras generate data about how they are used, where they are on the road, the surrounding environment, and the operating status of a variety of systems and components. This data is used to great effect by industry players in terms of training the neural networks of autonomous cars, mapping roads for navigation, and developing upgraded designs.
Cars can also access a vast amount of personal data about the driver. This can range from simple preferences such as the seat and head-rest position or favorite radio stations, to personal information about browsing habits, app usage, frequent journeys and more.
Vehicle-to-X communication is another aspect of connectivity which can benefit from the large amounts of data gathered by vehicles. As infrastructure is developed, and more and more connected cars enter the market, there is a considerable scope for utilizing data and V2X communication to provide location-based services, targeted marketing, route and traffic updates, etc.
Drawing all of this together is the challenge for the automotive industry, as key players look for ways to monetize the data and develop new business models. The big tech companies of Silicon Valley are already well ahead in developing new features and services. Dealing with data is integral to large tech firms, and in that respect, they have a distinct advantage over traditional OEMs in the car space. Manufacturers have been quick to invest and forge partnerships with technology companies and startups in a bid to claim a piece of what is destined to become a big industry in its own right over the next decade. To receive a copy directly to your inbox, email carson.bunting@iqpc.com.
A comprehensive list of the top six mistakes that IT businesses make in their business models. To access the presentation directly, email carson.bunting@iqpc.com.
Find out more about how IBM partnered with Global Banking Leaders in using future technology to transform the industry. Access the interview today or request a copy via email at geena.monaco@iqpc.com