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The Upcoming Impact of AI on Enterprise Technology Design: Enhancing CX and Business Outcomes

ECXO

bnbvvvV Upcoming Impact of AI on Enterprise Technology Design: Enhancing CX and Business Outcomes Article source: [link] Introduction Artificial Intelligence is revolutionizing enterprise technology, and will redefine enterprise software design, and transform how businesses enhance customer, user experiences and drive business outcomes.

AI 73
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Building a better Social Suite: 12 features that fuel your enterprise-wide social media strategy

Sprinklr

But, social suites that combine a strong social media strategy with a unified customer experience management (Unified-CXM) platform can more effectively drive the value of your social engagement to every corner of your enterprise. Fewer silos and dead ends. More collaboration and communication. Happier customers.

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5 Keys to Customer Experience for the Future

ClearAction

Here are 5 words representing successful customer experience management (CXM) in the future: 1) Context. Why it's key to future success: This viewpoint is powerful in shifting from our current collective mindset of CXM as something that customer-facing staff takes care of. Let's learn from the latter. 2) Outside-In.

CXM 105
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B2B Customer Experience Governance

ClearAction

Predictive analytics managers are collecting customer data and creating algorithms for real-time and what-if scenario right-sizing of information, offers, and solutions. Why this accelerates B2B CXM maturity: This built-in extended CXM team is a treasure trove of customer insights, engagement, and value-generating opportunities.

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State of Business-to-Business Customer Experience Management

ClearAction

How relevant are the trendiest customer experience management (CXM) practices in business-to-business (B2B) companies? In our four-year study of B2B CXM , 91% of participating firms said they sell B2B products and services through a dedicated sales force 1 , with a typical sales cycle ranging from three to twelve months.

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A to Z Guide to Customer Experience Definitions and Terms (Updated)

Lumoa

The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. With AI, you can get answers to most of your “why” questions.

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Customer Experience Strategy: An A to Z Glossary

Lumoa

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. According to Accenture , 85% of customer interactions will be managed with AI by 2020.