{"id":214253,"date":"2017-03-08T08:37:56","date_gmt":"2017-03-08T13:37:56","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/ai-powered-customer-service-needs-the-human-touch-huffington-post.php"},"modified":"2022-03-29T09:05:26","modified_gmt":"2022-03-29T13:05:26","slug":"ai-powered-customer-service-needs-the-human-touch-huffington-post","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/ai-powered-customer-service-needs-the-human-touch-huffington-post.php","title":{"rendered":"AI-Powered Customer Service Needs The Human Touch &#8211; Huffington Post"},"content":{"rendered":"<p><p>      Artificial intelligence, with the human touch, is      building a new customer experience    <\/p>\n<p>      Artificial Intelligence is the definitive technology of the      21st century. All businesses of every size, in every industry      will be impacted by AI. In the age of the connected customer, every 1 in      5 U.S. adults are almost never offline, customer experience      is the battleground for true differentiation. Today, every      successful consumer application is powered by AI. Tomorrow,      every successful business will be powered by AI. The      line-of-business that is most likely to embrace AI first will      be the customer service  typically the most process oriented      and technology savvy organization within most companies. But      before we dig into AIs tremendous potential in transforming      customer service, lets scope AIs market size and growth      projections.    <\/p>\n<p>      The Artificial Intelligence (AI) Market Size and      Future Projections    <\/p>\n<p>      Today, 38% of enterprises are already using artificial      intelligence (AI), growing to 62% by 2018. Forrester is      predicting a 300% increase in AI investments in 2017 compared      to 2016 and IDC believes AI will be a $47 billion      market by 2020. Forrester lists the top 10 AI technologies      here:    <\/p>\n<p>    Forrester  <\/p>\n<p>      Gartner named Intelligence  Applied AI      and Advance Machine Learning, Intelligent Apps, and      Intelligent Things  as 3 of its top 10 strategic technology      trends for 2017.    <\/p>\n<p>      The disruptive power of AI will impact every business, in      every industry. According to Gartner, by 2020, 20% of companies will      dedicate workers to monitor and guide neural networks.      Gartner advises CIOs to look at areas of the company that      have large data sets but lack analytics. AI can provide      augmented intelligence with respect to discovery,      predictions, recommendations and automation at scale.    <\/p>\n<p>      PWC named Artificial Intelligence (AI) as one of the eight essential technologies in business.      Today, there are 1,652 artificial intelligence (AI)      startups and private companies that have captured over $12.24      billion of funding.    <\/p>\n<p>    Venture Scanner  <\/p>\n<p>      The power of artificial intelligence is mass personalization      and contextual intelligence at scale. According to      Accentures 2017 Technology Vision Report, AI could double      annual economic growth rates by 2035. Accenture also notes      that AI is the new UI. AI is becoming the new user interface      (UI), underpinning the way we transact and interact with      systems. Seventy-nine percent of business leaders agree that      AI will revolutionize the way they gain information from and      interact with customers. As AI takes over more of the user      experience, it grows beyond just an intelligent interface.      With each customer interaction becoming more personalized,      powerful, and natural, AI moves into an even more prominent      position: your digital spokesperson, Accenture Technology      Vision 2017    <\/p>\n<p>      AI Implementation Realities in the      Enterprise    <\/p>\n<p>      Although Amazons Alexa, has evolved from 1,000 voice command      interpretations (or skills) to now more than 10,000 skills in      one year period, there is still a lot of AI progress to be made before machines      can truly understand and guide next best actions.    <\/p>\n<p>      Robots, AI will replace 7% of US jobs by 2025  Forrester. Here are the highlights of      the report:    <\/p>\n<p>      The future of work projections and AIs impact on jobs may      appear aggressive and somewhat unrealistic. In order to      better understand the realities of AI in business, it is      important to define phases and prerequisite of AI deployments      in large businesses.    <\/p>\n<p>      The three key phases of enterprise AI roll out: data, algorithms,      and workflows. The power of AI usefulness is a function of      the quality and quantity of data. Algorithms will help      deliver insights  discovery, prediction, recommendation and      automation of existing manual processes require strong,      self-learning and adaptable algorithms. The final phase and      the most challenging is the workflows. The constant iteration      of analyzing data, researching and developing algorithms, and      creating timely actions based on gleaned insights through      robust workflows is the job of data scientists and      line-of-business people experts. Workflows that guide      customer engagements must not be automated to a point where      businesses lose sight on the importance of the human touch,      empathy and relationship building aimed at earning the right      to be a trusted advisor and strategic business partner.    <\/p>\n<p>      For most companies, the algorithms and workflow complexities      will the use of augmented intelligence. This is especially      true for complex customer relationship management workflows      in B2B customer service functions. That said, there is      exponential growth in AI innovation and advancements and      companies cannot afford to tag AI as hype, only to find      themselves significantly behind their competitors in 1-2      years. AI knowledge, planning and adoption must happen now.    <\/p>\n<p>      The Role of AI in Customer Service    <\/p>\n<p>      Today machines have the ability to interact with humans at a      level that used to only seem possible in sci-fi movies.      Amazon serves up personalized product recommendations,      Facebook automatically tags photos and Google maps      proactively reroutes you around traffic. AI is powering      nearly every experience we have-- making it smarter, seamless      and personalized-- and as a result our expectations as      consumers are at an all-time high. The most indispensable      consumer apps are powered by AI technologies, delivering real      personalized value, in real-time. This seamless personalized,      immediate and intelligent user experience will make its way      to every business, across all industries. AI in business will      create motion and flow-based solutions and services. In      order for customer service leaders to stay relevant, they      must think differently and educate their stakeholder about AI. AI      allows companies to deliver these smarter, more personalized      and predictive experiences that customers have come to      expect, but the human touch is still table stakes for      customer success. The most suitable line-of-business to start      with AI? Customer Service.    <\/p>\n<p>      According to Salesforce research, 92% percent of senior      executives believe that customer experience is a key      competitive differentiator and they view customer service as      the primary vehicle for improving the customer experience. In      order for customer service organizations to lead customer      experience transformation, they must fully embrace, deploy      and utilize AI technologies.    <\/p>\n<p>      What does excellent customer service look like? According to      research, excellent customer service is      personalized, always on and real-time, consistent and      omni-channel. To achieve customer service excellence, service      organization must leverage AI to bolster their discovery,      prediction, recommendation and automation engines.    <\/p>\n<p>    Salesforce Research  <\/p>\n<p>      In the age of the customer, contact channels are expanding      rapidly and the amount of data created - both structured and      unstructured means that service organizations are drowning in      data, but starving for actionable insights.    <\/p>\n<p>    Salesforce Research  <\/p>\n<p>      Forrester identifies extended and enhanced self-service,      powered by AI technologies as one of its top trends for customer service in 2017.      Customer service will continue to invest in structured      knowledge management and leverage communities to extend the      reach of curated content. Service will become more      ubiquitous, via speech interfaces, devices with embedded      knowledge, and wearables for service technicians, said Kate      Leggett. The second top trend is sustained customer conversations using      natural language processing technology. Companies will      continue to explore the power of intelligent agents to add      conversational interfaces to static self-service content.      They will anticipate needs by context, preferences, and prior      queries and will deliver proactive alerts, relevant offers,      or content, said Leggett.    <\/p>\n<p>      Top service teams are 3.9X more likely      than underperforming service organizations to say predictive      intelligence will have transformational impact on their      customer service by 2020. The common theme that I hear as I      collaborate with business leaders is that AI biggest      potential is to augment our ability to connect with customers      and giving way to a smarter customer experience.    <\/p>\n<p>    Salesforce  <\/p>\n<p>      With projections of 6 billion smartphone users and over 50      billion connected devices by 2020, the next generation customer experience will      be powered by artificial intelligence. A CRM platform powered      by AI will analyze customer engagements and automatically      predict sentiment and adjust customer journeys to ensure      optimal user experience. The same logic applied to prediction      marketing lead scores and sales opportunity conversions will      be applied to customer services cases, optimizing      time-to-resolution cycles and improved customers satisfaction      and net promoter scores (NPS).    <\/p>\n<p>      Service organizations can significantly improve the customer      experience and bolster service delivery capacities using AI      technologies. Service managers using AI can gain      real-time insights across all customer contact channels with      AI-powered analytics to increase team productivity and CSAT.      By using smart data discovery, service managers can optimize      agent availability, wait times and opportunities for      proactive service delivery. Using machine learning, cases are automatically      escalated and classified using sensitivity and domain      expertise predictive analytics. AI powered chat bots can      deliver knowledge using automated workflows. Field service      professionals can use mobile apps powered by AI, delivering      precision service based on access to CRM data that can      deliver personalized services anywhere. AI powered field apps      use algorithms to optimize scheduling and routing using      complete CRM data.    <\/p>\n<p>    Salesforce Research  <\/p>\n<p>      The top trends for CRM in 2017 includes      intelligence powering prescriptive advice, according to      Forrester.    <\/p>\n<p>      The advantage of a CRM platform powered by artificial      intelligence goes far beyond just the services organization.      At Salesforce, the artificial intelligence technology,      called Einstein, is infused across all      the Salesforce clouds, giving over 150,000 companies that use      Salesforce to seamlessly access AI capabilities across their      sales, services, marketing, IT and community organizations.      Marketers using AI have seen an average 25% lift in click      through and opens. Sales professionals using AI predictive      lead scoring have a 300% increase in lead to opportunity      conversions. Commerce teams using AI have 7-15% increase in      revenue per site visitor.    <\/p>\n<p>      Artificial Intelligence is the definitive technology for the      21st century, and companies that use AI as augmented      intelligence to make more informed and faster decisions will      win the age of the customer where personalization, immediacy      and intelligence are the new currencies of growing      businesses. But to sustain growth and earn customers trust,      businesses have to use common sense, care more and be      cautious of over-automating. Businesses must practice      empathy, inside and outside of the company, and deliver on      their promises.    <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>See the original post:<\/p>\n<p><a target=\"_blank\" rel=\"nofollow noopener\" href=\"http:\/\/www.huffingtonpost.com\/entry\/ai-powered-customer-service-needs-the-human-touch_us_58b88046e4b0ffd61787bd3d\" title=\"AI-Powered Customer Service Needs The Human Touch - Huffington Post\">AI-Powered Customer Service Needs The Human Touch - Huffington Post<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Artificial intelligence, with the human touch, is building a new customer experience Artificial Intelligence is the definitive technology of the 21st century. All businesses of every size, in every industry will be impacted by AI. In the age of the connected customer, every 1 in 5 U.S <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/ai-powered-customer-service-needs-the-human-touch-huffington-post.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[13],"tags":[],"class_list":["post-214253","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"modified_by":"Danzig","_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/214253"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=214253"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/214253\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=214253"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=214253"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=214253"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}