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.
Most people feel pressured to be productive rather than creative at work, but imaginative thinking can improve efficiency, solve difficult problems, and grow profits. Artificial intelligence is going to be one of the main resources helping businesses improve creative thinking in the workplace. One brand starting to bridge the gap between human and machine learning is Spotify, which marries user habits such as playlist creations with crowd-sourced behaviors to create personalized playlist suggestions. Josh Bersin, principal and founder of Bersin by Deloitte, says AI isn't about eliminating jobs, but eliminating "tasks of jobs" and creating new roles more suited to humans that require traits robots haven't yet grasped, such as empathy, communication, and interdisciplinary problem-solving.
The AI Expo North America event will showcase the next generation technologies and strategies from the world of artificial intelligence -- an opportunity to explore and discover the practical and successful implementation of AI in driving forward businesses in 2017 and beyond. A report by Forrester has revealed that businesses who implement artificial intelligence strategies to reveal new business insights will prosper by $1.2 trillion per annum compared to their competitors who are less informed. Topics covered include business intelligence, deep learning, machine learning, AI algorithms, data and analytics, virtual assistants and chatbots, as well as case study-based presentations proving insight into the deployment of AI across different verticals. Purchase your Ultimate pass today to gain access to three co-located events (IoT Tech Expo, Blockchain Expo, and AI Expo) with 12 different conference tracks, 300 speakers, and 300 exhibitors.
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.
PaaS providers offer ready-to-use services like security, data storage, device management and big data analysis. ADS employs multiple advanced technologies: multimodal sensors, computer vision, artificial intelligence and machine learning, etc. Fog computing will be crucial, where time sensitive computer vision or AI inferencing is handled on edge processing nodes, while more long time big data analysis can be handled on the cloud. Since 2007, Nvidia has developed Compute Unified Device Architecture(CUDA) technology to exploit the power of its graphics chips in compute problems besides 3D shader processing.
Taking their cue from social media, banks are now embracing a host of new technologies such as artificial intelligence (AI) – including machine-learning algorithms and natural language processing – application-based services, cloud storage and real-time data management. A number of factors are driving this innovation, including the migration of clients to digital channels, technology advancement in data management and analytics, and ever-rising expectations of clients and regulators. Social media pioneered cloud computing and developed data management software out of necessity to manage costs and develop valuable insights about clients such as what they like to buy, do and watch. But as banks migrate to the big data tools developed by the social media industry, they will be able to flip the 80/20 rule on its head and deliver better business insights for the business and their clients.
Leveraging digital technology, combined with personalized solutions, fintech firms are differentiating the customer banking experience. The ability to combine multiple financial services within singular platforms provides China a significant platform for fintech growth, which was apparent in the research. The EY study found that there is significant positive sentiment among consumers around fintech solutions, with estimated adoption expected to exceed 50% globally. In addition to potential joint ventures, acquisitions and investments into fintech firms, incumbent financial services firms can learn from or acquire the services of fintech firms to enhance existing offerings," The Digital Banking Report, The Challenger Bank Battlefield, provides insight into more than 30 fintech challenger banking organization globally.
Or in a conference room, instead of the struggle to figure out which remote control puts on the projector and the screen, a simple voice request "System: turn on projector, turn on TV and dim lights." We will continue to see innovation in voice recognition systems and improvements that will enable voice system security to be viable in an enterprise environment and ensure that only authorized users with the right privileges can perform the associated actions. We are seeing the explosion of CPaaS (Communication Platform as-a-Service) in the enterprise, leveraging APIs to transform today's applications into voice-integrated solutions. Some of the major voice communication vendors are now entering this market, providing CPaaS infrastructures with a standardized set of APIs to enable companies to integrate communications into their business processes.
The longing for becoming a preferred brand has pushed marketers towards technology integration in their traditional approach and the result is in front of us in the form of a seamless omnichannel experience. Traditionally, marketers had to weave a holistic experience by ensuring sync between all entities - big or small, such as product's visual appeal, in-store engagement, timing of offer email etc. will provide their likelihood of buying and brands can leverage this information ii) Such a targeted approach will increase the click-through rates for the brands and will lessen the numbers of those'never-opened, never-acted' offer emailers, thus resulting into more footfalls Mass appeal - No more appeals; Personalized experience counts Surpassing the limitation of human capacity, AI enabled systems can capture, store, analyze, map and predict customer's reactions, choices et al. Thus, easing the burdensome task of decision-making iii) Enables one-on-one relationship which doesn't even demand individual attention and hence saves time and money Supporting the omnichannel existence Mapping the usage pattern, AI systems can target the devices and channels on which it sees user's maximum engagement.
A marketer inputs brand names, product names and celebrity names that the brand has identified as important to their campaign. Watson Discovery News analysis of one article, "What young people can learn from Tom Brady's Super Bowl Win," results in a high sentiment score and activates a positive keyword phrase "Super Bowl Win" in the Rocket Fuel platform. This article would receive a negative sentiment score and trigger negative keywords ("Concussion, "Football Player Safety") in the Rocket Fuel Platform. While no single AI technique can meet every need, the Discovery News AI was developed to find and interpret millions of articles each week to determine sentiment; Rocket Fuel's AI was developed for the specific task of transforming millions of customer data points into predictive marketing intelligence.