Artificial Intelligence is everywhere. From Google’s Arts & Culture App—which uses facial recognition technology to match selfies to thousands of artworks—to Pizza Hut’s plans for driverless pizza delivery.
The application of Artificial Intelligence to improve the customer experience is on the rise. In fact, this year the Consumer Electronic Show featured its first ever Artificial Intelligence Marketplace to showcase the latest innovations designed to perform human tasks. Products ranged from big data analytics to speech recognition to advanced decision-making to predictive technology. Many of these solutions are already being leveraged by great companies to add a magic touch to their services.
Are you taking advantage? If not, here are three ways you can apply Artificial Intelligence to improve your customer experience.
https://customerthink.com/3-ways-to-apply-artificial-intelligence-to-improve-your-customer-experience/
The pace of change in the world of B2B is famously rapid, which makes the task of generating impactful strategies difficult: no sooner have you settled on and refined your plan of action going forward than you realize a competitor is achieving results with a technique or tactic you’d never even heard of, let alone mastered. The increasing sophistication of artificial intelligence makes this unavoidable to a degree, but the best thing you can do is cover all bases, frequently refresh your knowledge of the emerging technologies, and commit wholeheartedly to your own tailored, data-driven processes.
https://www.forbes.com/sites/lilachbullock/2019/03/06/5-b2b-tips-and-strategies-that-you-need-to-know-in-2019/
Retail Gazette hears from Iceland customer response lead Rachel Lewis on the importance of giving customers a voice, and how AI-powered reviews and insights inform their campaigns, including the retailer’s mission to reduce its environment impact.
https://www.retailgazette.co.uk/blog/2019/02/5-minutes-with-rachel-lewis-customer-response-lead-iceland/
Getting started with AI can be simple. Decide on the functions you need, locate a service with the features to match, and sign up. Easy.
This approach reduces any technical demands and keeps setup hassles to a minimum, but it won't work for everyone. Choosing a standard tool means it's unlikely to do absolutely everything you require, and it won't be optimized to suit your business.
http://www.techradar.com/news/5-of-the-best-ai-platforms-for-business/
Cutting-edge companies are turning to artificial intelligence and machine learning to transform how they interact with customers, strengthening those relationships, distinguishing themselves from competitors, and increasing revenues.
At the center of this transformation are technologies such as chatbots, recommendation engines, personalized communications, intelligent ad targeting, and image recognition. Gartner analyst John-David Lovelock predicts that AI-derived business value will more than triple to $3.9 trillion by 2022 — with improvements to the customer experience key to this growth.
https://www.cio.com/article/3315656/artificial-intelligence/5-ways-ai-is-transforming-customer-experience.html/
Over the past few years, more people have turned to online shopping instead of brick-and-mortar stores because of convenience. In 2017, eCommerce businesses accounted for 9.1 percent of US retail sales during the fourth quarter, higher than the 8.2 percent share f the previous year.
https://www.webpronews.com/5-ways-artificial-intelligence-benefits-ecommerce-businesses/
Predicting the future is tough, so we decided to talk those who are shaping it. Dave Fish, founder of CuriosityCX and Michigan State University visiting lecturer partnered with Brian Keehner of the Michigan State master of science in marketing research program to interview more than a dozen of the sharpest technology minds from global enterprise feedback management firms to get their take on the future.
What are some of the big strategic bets the major players are making in the CX space? There was quite a bit of agreement, but also some noticeable divergence on the vision for the future. That spanned from data collection and ingestion, all the way to how to help clients take action. Here are the six key discussion points from our conversation.
http://customerthink.com/6-big-trends-driving-the-future-of-cx-technology/
Today, many companies market to broad segments because it's more efficient than one-to-one outreach. But each consumer has specific needs and wants. AI promises to fix this.
http://searchcrm.techtarget.com/feature/AI-in-retail-delivers-next-generation-online-personalization/
It’s easy to see a world in which the predictive capabilities of artificial intelligence (AI) will direct who we have with children with, where we live and what our next job should be. All based on the algorithm’s ever-deepening knowledge of our habits, location, family circumstances and personality.
In reality, few of us would want our lives ruled by a self-teaching algorithm. But for the majority of consumer businesses, AI (an umbrella term that includes natural language processing and machine learning) is a potentially transformative force, providing vital insights into what is happening and what is likely to happen. Advances in AI mean that what customers feel about a company or brand will drive significant change in business. These are fast-developing capabilities that no consumer-facing business can ignore if it wishes to maintain its competitive edge.
https://www.techradar.com/news/artificial-intelligence-gives-businesses-real-insights-into-their-customers/
We’re very happy to announce that the release of our newest machine learning (ML) technology – automatic feedback categorisation – was a successful one! As a next step, we want to make sure our users know how to get the most out of this new feature. That is why we’ve created this little guide to Mopinion’s New Machine Learning Technology.
https://mopinion.com/best-practices-mopinions-machine-learning-technology/
