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Generative AI: Meet your partner in customer service

IBM Big Data Hub

Given the rise of artificial intelligence, savvy brands are augmenting their abilities and improving experiences rapidly. Consider Salesforce, which has more than 150,000 companies that rely on its customer relationship management platform. Let’s explore what you should consider and how to get started.

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Beyond basics: Six tips for an exceptional customer service strategy

IBM Big Data Hub

Enhancing the customer experience through customer service is among the most important disciplines for any organization for one simple reason: without customers, organizations would fail overnight. About 70% of customers report making purchase decisions based on the quality of their customer service experience, according to Zendesk.

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Unlocking value: Top digital transformation trends

IBM Big Data Hub

They face an ever-increasing cadre of startups and established organizations, all of whom are also trying to keep up to date on digital transformation trends to achieve a competitive edge. Companies are rethinking their business models to become more digital and competitive.

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Seven customer service types that organizations should provide

IBM Big Data Hub

It has increasingly become an omnichannel discipline where every customer prefers to communicate on varying channels. Therefore, meeting customer needs requires an organization to enable different ways customers can receive responses to their issues depending on their preferences.

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Customer service trends winning organizations need to follow

IBM Big Data Hub

Customer loyalty is waning, spurred on by the COVID-19 pandemic, social influences and the ease of switching brands. More than ever, organizations must stay on top of changes in the customer service experience to improve customer satisfaction and meet increased customer needs.

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Leveraging generative AI on AWS to transform life sciences

IBM Big Data Hub

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Life sciences industry is beginning to take notice and aims to leapfrog the technological advances.

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Why I'm Not Sold On Machine Learning In Autonomous Security: Some Hard Realities On The Limitations Of Machine Learning In Autonomous NetSec

ForAllSecure

The IDS device is so smart, it learns what’s normal on your network and does not immediately inform you when it sees an anomaly. Suppose you detected five new attacks, but only one was a real intrusion. Wouldn’t you want to focus on the one successful intrusion, not the four failed attacks? Detection rate !=