EXPERIENCE


The Evolution and Future of AI in Conversational Commerce and Customer Experience

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However, the truth is we are only just starting to realise the potential of artificial intelligence and one of the most promising applications for AI to make a more than welcome impact is in customer experience. It can be debated that for all of the good technology has offered businesses over the last several decades, it has also comprised key elements of the customer experience. Call centres, websites, email, apps, et al, have allowed companies to scale and automate customer engagement while also introducing process efficiencies and cost management systems. However, AI represents an opportunity to introduce intelligent, scalable engagement and more personalised experiences to help customers accomplish tasks or solve problems while also improving overall satisfaction.


Five bold predictions on Artificial Intelligence

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In the report titled "The Future of Artificial Intelligence in Consumer Experience", AT&T Foundry makes five bold projections that showcase how AI will impact the consumer experience in coming years. With AI, computers learn from data sets to understand underlying data structures and uncover procedures to make the correct use of the data. These actions will be automated based on behavioural patterns and work routines, leaving time and space for "higher order thinking." AI has three major impacts on connectivity networks: 1) it allows for accurate traffic and pattern analysis to troubleshoot problems as they occur, in turn allowing for 2) a constant state of connectivity that's optimised for any experience across any set of devices, and 3) pulls disparate information from multiple channels to simplify and quickly contextualise what users need.


The Future Of Customer Experience Is Voice-Activated

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So far the technology has been mostly limited to mobile devices and smart home consoles, but voice activation is expected to expand to other areas in the not-so-distant future. The bottle expands on the traditional customer experience by giving customers more opportunities to interact and build relationships with the brand. Customers will come to expect simple voice activation, especially as AI technology can be added so that the products will be able to remember customer preferences to improve the experience with each interaction. When it comes to the future of customer experience, voice activation is sure to play a major role.


What's in a bad user review? Maybe your next breakthrough - Watson

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In fact, some reviews, even negative feedback, can reveal insights and better customer experiences. Some negative reviews can reveal insights that boost your app's popularity or at least deliver a great experience for your customers. The trick is distilling meaningful feedback from reviews including both positive and negative feedback. IBM is making it easier to analyze relevant customer reviews and uncover actionable intelligence buried in the data.


This GWSB MBA Works With Big Data And Artificial Intelligence At Microsoft

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And Daniel enjoyed the school's global scope – he worked on a consulting abroad project for a luxury goods company in Istanbul. He works with clients across financial services and specializes in big data and artificial intelligence (AI). The major factor that led me to end up choosing GWSB's full-time Global MBA program was its Consulting Abroad Practicum (CAP). What impact are artificial intelligence and big data having on the financial services industry?


Predictive analytics improve customer experience journey

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Azumi Mobile joined ranks with DeviceBits, a Columbus, Ohio-based company that merges artificial intelligence, machine learning and predictive analytics to help businesses provide customer service through chatbots and interactive content that enables customers to help themselves. "From those questions, we are providing back predictive customer journeys that lead to successful outcomes." DeviceBits helps Azumi Mobile create a successful customer experience journey in two ways. Taking advantage of artificial intelligence technology to go predictive, get in front of issues and sense how to support customers enables systems to go exponentially farther and faster for a positive customer experience, explained William McKnight, president of McKnight Consulting Group.


Fintech in 2017: Automation Will Rule

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This shows no sign of stopping in 2017, with new and existing technologies allowing institutions to ultimately offer more unique banking experiences. From my meetings with decision-making executives at the world's leading banks, here are the top five trends dominating their technology investment discussions: In 2017, several banks will undoubtedly take their first steps toward "conversational commerce," a term coined by Chris Messina of Uber to describe the future of messaging within apps. They will also inspire meaningful change within the bank's organizational structure with the continued rise in executive power of the chief digital officer, chief marketing officer and chief data officer. However, for this to happen, the role of the procurement team will also need reevaluation -- a process that could result in new vendor evaluation processes that focus on agility, innovation and time to market, rather than just on vendor consolidation and cost negotiation.


How Will AI in FinTech Benefit Consumers?

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Process Analytics for Improving Customer Journey: There are several inefficiencies that customers face along their journey with a bank. Process analytics allows banks to analyze data for inefficiencies throughout the customer journey using social media, and the bank's internal data. Predictive Analytics for Personalized Recommendations: The financial services industry can now make sense of your behavioral patterns and other data to make recommendations that are personal to you. Customers of services such as consumer banking, advisory services, retail financial planning and wealth management advice will all benefit from this customization.


Satellite Remote Sensing Data Bootcamp With Opensource Tools

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MY COURSE IS A HANDS ON TRAINING WITH REAL REMOTE SENSING DATA WITH OPEN SOURCE TOOLS! My course provides a foundation to carry out PRACTICAL, real-life remote sensing analysis tasks in popular and FREE software frameworks with REAL spatial data. This course will ensure you learn & put remote sensing data analysis into practice today and increase your proficiency in geospatial analysis.


[session] AI at Scale @CloudExpo #IoT #AI #ML #DX #ArtificialIntelligence

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With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Join Cloud Expo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 21st Cloud Expo @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.