eglobalis

MARCH 24, 2025

If training data becomes outdated, the AI quickly deteriorates, offering incorrect solutions. JPMorgan’s significant investments in updating its AI agents highlight that extensive training and regular data updates are essential to maintain effectiveness.

Contact Center 364

Contact Center Virtual Agent Chatbots Banking 364

AWS Machine Learning

NOVEMBER 7, 2024

AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses. In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences.

Automotive 129

Automotive Data Knowledge Base Guidelines 129

eglobalis

JUNE 23, 2025

CX leaders must redesign journeys in real-time, using experience data to anticipate new friction points. War also creates uncertainty around data residency, cloud service continuity, and regulatory compliance—particularly in contested regions. But with this comes the risk of surveillance overreach and data misuse.

Innovation 417

Innovation Technology Healthcare Leadership 417

ECXO

NOVEMBER 25, 2024

Broader Market Demand : Data-Driven Validation While an individual request might reflect one customer’s unique need, assessing whether it signals a broader market demand is critical. This requires moving beyond anecdotal evidence into data-driven territory. Best Practices: Use data-driven explanations to validate your decision.

Feedback 391

Feedback ROI Roadmap Analytics 391

Comm100

JULY 4, 2025

When your customers share account numbers, social security details, or financial information through live chat, that data can’t just live anywhere. Leading banks and government agencies can maintain complete data sovereignty while delivering intelligent, responsive customer service. We’ll show you how in this guide.

Government 130

Government Financial Meeting Data 130

eglobalis

MARCH 30, 2025

[link] Introduction: Todays businesses face a pivotal question: can emerging technologies like AI and real-time data platforms reduce or even replace the need for traditional customer surveys in managing customer experience (CX)? The result is a shift in CX management: from retrospective score-watching to proactive, data-driven engagement.

Survey 357

Survey Banking NPS Effort Score 357

eglobalis

JUNE 17, 2025

This article explains, in structured steps, how businesses can integrate Agentic AI with behavioural data to evolve from traditional maps to dynamic, intent-driven journey systems. Step 2: Integrate Agentic AI to Interpret Intent Once behavioural data is collected, Agentic AI interprets likely customer intent.

Customer Journeys 316

Customer Journeys Insurance Case Study Abandon Rate 316

eglobalis

NOVEMBER 12, 2024

Analyzing this data in real time allows for small course corrections and helps teams adjust project strategies to ensure they consistently align with client expectations. This iterative feedback gathering process strengthens the client’s voice in decision-making and reinforces the value of their input.

Customer Centricity 524

Customer Centricity Strategy B2B Consulting 524

TechSee

JUNE 17, 2025

They’re failing because the data is. According to Gartner, up to 85% of AI projects fail due to poor data quality, not model design. And in enterprise customer service, that data is often incomplete, mislabeled, or missing critical context. We call that dirty data. AI can only be as smart as the information it’s fed.

Data 109

Data Chatbots CRM System 109

eglobalis

JANUARY 20, 2025

Companies can further enhance relationship management by leveraging customer relationship management (CRM) tools like HubSpot or Salesforce, which centralize customer data and provide actionable insights. Data-Driven Decision Making B2B clients increasingly demand transparency and data-driven insights to inform their decisions.

B2B 449

B2B Loyalty Loyalty Programs Innovation 449

eglobalis

JANUARY 13, 2025

Salesforces Einstein Agent leverages historical data to predict customer inquiries, allowing agents to offer proactive solutions. The key lies in continuously refining predictive models with updated data to ensure relevance and accuracy. Data Sources How Are Companies Using AI Agents?

Customer Experience 433

Customer Experience Marketing Chatbots e-support 433

eglobalis

NOVEMBER 19, 2024

Algorithms play a crucial role here, processing massive data streams to predict equipment failures and optimize operations, reducing downtime and operational costs. Challenges: Developing AI platforms requires significant investment in data collection, IoT integration, and cloud infrastructure.

B2B 532

B2B Innovation Healthcare System 532

eglobalis

JULY 8, 2025

Big Data Analytics: Powering Hyper-Personalization Big data analytics forms the backbone of personalized customer experiences, enabling organizations to deliver hyper-tailored interactions at scale. Verizon and Alibaba demonstrate the strategic advantage gained by integrating real-time customer data from multiple channels.

Healthcare 279

Healthcare Government Competitive Advantage Chatbots 279

AWS Machine Learning

JUNE 23, 2025

Modern enterprises are rich in data that spans multiple modalities—from text documents and PDFs to presentation slides, images, audio recordings, and more. Achieving this requires a multimodal generative AI assistant—one that can understand and combine text, visuals, and other data types.

Data 108

Data Knowledge Base Financial Healthcare 108

eglobalis

JUNE 30, 2025

Its ecosystem integrates devices, data analytics, and telehealth support, creating a real-time feedback loop between patient and provider that few can match. And instead of surveys, Medtronic’s Diabetes tools gather patient usage data continuously—ensuring improvement is never delayed.

Culture 425

Culture Healthcare Leadership B2C 425

eglobalis

MAY 13, 2025

The rise of advanced analytics and AI is presenting an alternative: rather than asking customers for feedback at every turn, leading firms are beginning to know what customers think by analysing behaviours, conversations, and data signals in real time. Siloed data makes it hard to connect the dots (e.g.,

B2B 310

B2B Survey Multi-Channel Effort Score 310

InMoment XI

NOVEMBER 12, 2024

Social listening is a proactive strategy that uses social media data to uncover customer insights and make broader business decisions. This data-driven approach can improve the quality of their outreach and boost conversion rates. Social media monitoring provides real-world insights that complement other sources of product data.

Social Media 363

Social Media Analysis Metrics Analytics 363

eglobalis

FEBRUARY 3, 2025

Personalization at Scale in B2B AI enables B2B businesses to deliver hyper-personalized experiences by analyzing vast amounts of customer data. This model processes multiple data types, including text, code, and images, to deliver customized services such as coding assistance for developers and document summarization for corporate users.

B2B 422

B2B Customer Journeys Customer Experience Chatbots 422

eglobalis

NOVEMBER 5, 2024

Solis combines storytelling with data and practical insights, creating presentations that are both inspiring and thought-provoking. When I was learning the art of public speaking, I studied his videos to understand his unique style.

Leadership 500

Leadership Innovation Social Media Trends 500

eglobalis

JULY 14, 2025

Below, we break down the ten key wishes that B2B customers across industries are voicing, backed by insightful qualitative and quantitative data from these studies. Robust Security and Data Protection In 2025, cybersecurity has become the top priority for B2B tech and telecom customers. Will telcos listen?

B2B 347

B2B Self Service Omni-Channel Innovation 347

AWS Machine Learning

JULY 9, 2025

Businesses often face challenges in managing and deriving value from their data. The retail sector’s data complexity demands sophisticated solutions that can integrate seamlessly with existing systems. In this post, we show how you can use Amazon Q Business for Retail Intelligence to transform your data into actionable insights.

Retail 102

Retail Data Multi-Channel Analytics 102

eglobalis

JUNE 10, 2025

This article provides a deep, data-driven exploration of eight critical ways AI is enhancing Experience Design, illustrated through concrete examples from leading B2B enterprises, and enriched with insights from recent articles published. As Samsung did.

Innovation 322

Innovation B2B Case Study User Experience 322

eglobalis

JANUARY 7, 2025

This involves: Methods : Conducting interviews, surveys, ethnographic research, and observation to gather qualitative data. Techniques : Analyzing data from the empathy phase, identifying root causes using tools like the 5 Whys, and mapping out dependencies that impact the problem space.

B2B 323

B2B Company Customer Journeys Innovation 323

CX Journey

MAY 14, 2025

Companies must adopt a data-driven approach to customer experience, using advanced analytics to measure and optimize performance. They are change agents, technologists, data analysts, insight wranglers, and culture architects. But this evolution can’t happen in isolation. Invest in upskilling and reskilling across departments.

Leadership 256

Leadership Customer Journeys Customer Centricity Culture 256

AWS Machine Learning

MAY 28, 2025

In the financial services industry, analysts need to switch between structured data (such as time-series pricing information), unstructured text (such as SEC filings and analyst reports), and audio/visual content (earnings calls and presentations). Summarizes long texts or documents such as earnings reports into concise insights.

Data 109

Data Knowledge Base Financial Analysis 109

AWS Machine Learning

JULY 9, 2025

Access to accurate data is often the true differentiator of excellent and timely decisions. A correctly implemented state-of-the-art AI can help your organization simplify access to data for accurate and timely decision-making for the customer-facing business team, while reducing the undifferentiated heavy lifting done by your data team.

Data 74

Data Knowledge Base Ecommerce Analytics 74

ECXO

MARCH 11, 2025

Step 2: Secure Executive Sponsorship with a Data-Driven Business Case To get C-suite buy-in , CX leaders must speak in business terms showing how CX improvements translate into profitability, revenue, and cost reduction. Action Point: Develop a CX scorecard that combines customer experience data with financial KPIs.

B2B 311

B2B Strategy Customer Journeys Net Promoter Score 311

eglobalis

MARCH 18, 2025

Crisis Management During crises, such as data breaches or product recalls, customers require immediate and accurate information. Challenges: Training AI to comprehend and appropriately respond to diverse cultural nuances and language intricacies is challenging, as it requires extensive data and contextual understanding.

Interaction 391

Interaction Culture Virtual Agent Loyalty 391

ECXO

OCTOBER 27, 2024

As I discussed in Maximizing Outcomes with Integrated Customer Success and Experience Metrics , linking CS and CX data offers a more complete picture, allowing businesses to address both the functional and emotional drivers of churn.

Metrics 332

Metrics Customer Success Effort Score Self Service 332

ECXO

NOVEMBER 26, 2024

Leverage Technology, Automation, and Data-Driven Insights to Enhance Customer Service Incorporate technology and automation tools to streamline customer service processes. Collecting data on customer interactions can help identify patterns and predict future issues. This reduces the need for unicorn-level problem-solving.

Self Service 334

Self Service Culture Training Analytics 334