Over the next decade, healthcare is expected to see a huge amount of technological change. Artificial intelligence (AI) and the Internet of Things (IoT) are expected to play a huge role. 'Building the Hospital of 2030', a report by Aruba, owned by Hewlett-Packard argued that the healthcare industry will need to embrace digital transformation in healthcare. These technologies are bound to be part of the mix. Aruba's study makes five key predictions for how the industry will transform by 2030, including: Darren Crombie, Founder of Upstream Health, adds: "I think what we are seeing in healthcare is a massive push towards AI, analytics IoT and robotics and the opportunities they can provide. From a patient management perspective, we want to drive preventative care to keep patients well in the first place and out of our hospital system. By having sensors and support tools in people's homes and feeding into analytics and AI, we can monitor their health remotely. On the analytics side, we have a push towards machine learning, allowing clinicians to act and take actions to deliver preventative and proactive care needed to make our system sustainable."

Renowned machine learning expert Daphne Koller is the founder and CEO of drug discovery company Insitro. Daphne Koller talks fast, punctuating her words with gesticular flourishes as she shows off lab equipment through big glass windows in her South San Francisco offices. Along with a standard DNA sequencer, there's a high-powered microscope with automatic imaging and a machine that replaces manual pipetting by using ultrasonic acoustic energy to transfer fluids. The fancy gear is part of a robo-lab that provides the foundation for Koller's startup, Insitro. The ex-Stanford University computer science professor, MacArthur Fellow and cofounder of online education unicorn Coursera created Insitro to completely rethink the expensive, time-intensive drug discovery process.

Supported by the European digital innovation and entrepreneurial education organization EIT Digital, City, University of London's Artificial Intelligence Research Centre (CitAI) and Institute for Cyber Security (ICS) will lead two new Doctoral Training Programs (DTPs). Starting in the 2019-2020 academic year will be a DTP in Artificial Intelligence (AI). This will enable the commercial deployment of AI technology in Europe and other regions by developing critical interdisciplinary capabilities in AI technology, particularly, though not exclusively in machine (deep) learning and explainable AI, with applications for solving real-life industrial problems. Dr Eduardo Alonso, Director of City's Artificial Intelligence Research Centre (CitAI) and lead for City's Master's programme in AI, will oversee this DTP. This program will be carried out in partnership with founding partners Delta Capital Ltd, Telefónica Innovación Alpha SL and Bosch AA-AS.

Mphasis, an information technology solutions provider specializing in cloud and cognitive services, announced that it has been granted a US patent for its artificial intelligence (AI) system for tracking, managing, and analyzing data from unstructured data sources. The newly issued patent – U.S. Patent No. 10,353929, relates to leveraging machine learning algorithms to analyze free text from a variety of communication channels including news and editorial articles, blogs, emails, consumer complaints, and social media. The patented system uses Natural Language Processing (NLP) algorithms to process the data in real-time. The patented algorithms have been integrated as part of Mphasis' NextLabs solutions such as HyperGrafTM, a comprehensive, feature-rich, business intelligence, and analytics solution, as well as DeepInsightsTM, a cognitive intelligence platform, which enables enterprises to gain faster and more effective access to insights from data. These solutions are some of Mphasis' latest offerings focusing on emerging paradigms of innovation such as artificial intelligence, machine learning, and deep learning.

As digital trends evolve every year, marketers should always be aware of the changes in order to easily adapt with emerging technologies and stay ahead in the market. This will help them gain a competitive edge and become able to develop new ways to grow their businesses, generate leads and improve the relationship with their existing customers. Based on the digital marketing trends article that we developed last year, 2018 has been the year of rising augmented reality, video content, voice search and influencer marketing... And now that 2019 is around the corner, you may ask yourself "what will the next year have for me?" To help you determine where the trajectory is heading over in 2019, we've listed out 10 digital marketing trends that you can take advantage of to improve your marketing strategy and meet a desired outcome. Voice search is undoubtedly rising in popularity.

Suzanne Livingston, curator of the recent Barbican Centre exhibition about artificial intelligence, will speak about the impact of technology on cities at Dezeen Day on 30 October. She will take part in a discussion about future cities, which will explore how urban areas will change in the face of technological, social and environmental pressures. Livingston curated AI: More than Human, which ran in London from May to August this year and will now tour internationally. The exhibition explored how AI will affect our lives and featured cutting-edge work by designers including Neri Oxman, Es Devlin, TeamLab and Yuri Suzuki. It explored topics including facial recognition, robotics and how AI can improve urban planning and road safety. Livingston has a PhD in Philosophy from Warwick University, where she was a founding member of the influential Cybernetic Culture Research Unit (CCRU).

With plenty of post-recession anti-banking sentiment still lingering, it's common to see fintech and traditional banks framed in oppositional terms. There's some truth to that, especially with disruption-minded digital-only banks, but technological innovations have transformed banking of all stripes -- and nowhere is that clearer than with artificial intelligence. AI has impacted every banking "office" -- front, middle and back. That means even if you know nothing about the way your financial institution uses, say, complex machine learning to fend off money launderers or sift through mountains of data for fraud-related anomalies, you've probably at least interacted with its customer service chatbot, which runs on AI. Read on to learn how else AI is transforming the way banks operate, from investment assistance and consumer lending to credit scoring, smart contracts and more.

Global Artificial Intelligence (AI) in Fintech Market 2019 by Company, Regions, Type and Application, Forecast to 2024 presents the conceptual study and strategic analysis on global Artificial Intelligence (AI) in Fintech market which provides market scope, applications, and geographical presence which drive the market. The report gives an intensive investigation of the notable driving elements that are recognized considering the end-client requests, variable market changes, and limiting components. The report analyzes, tracks, and presents the worldwide market size of the key players in each region around the world. The present competitive landscape, prevalent business models, and advancements in the coming years are evaluated in this report. An in-depth approach about the global Artificial Intelligence (AI) in Fintech market players will help all market players in analyzing the recent market trends and essential commercial enterprise strategies. The study provides an acknowledged and extensive analysis of the immediate state of the market.

We've created a conversational user interface (UI) that allows people to intuitively communicate with databases so they can get answers from their data quickly and easily. What does this look like in practice? We're focused on helping small and medium-sized businesses make their data work for them, so we've built our interface to facilitate data access and analysis through natural language processing and dynamic query building. In simpler terms, users can ask questions in their own words and get answers from the business software they use day-to-day, in real time. We believe that being able to understand and access your data can help you make strong decisions about your business.

Cognitive scientist and Dartmouth professor John McCarthy coined the term artificial intelligence (AI) in 1955 when he began his exploration of whether machines could learn and develop formal reasoning like humans. More than 60 years later, AI is the hottest tech topic of the day, from the boardroom to the breakroom. The vast majority of technology executives (91 percent) and 84 percent of the general public believe that AI constitutes the next technology revolution, according to Edelman's 2019 Artificial Intelligence (AI) Survey. PwC has predicted that AI could contribute $15.7 trillion to the global economy by 2030. AI powers voice-based devices, filters our email, and guides our search results.