Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

Tech Brief (Sept. 24): Mercedes-Benz, ByteDance Partner on In-Car AI

Perplexity AI Browser Now Available in India- How is it different from Google Chrome?

Mano Report – Takara TLDR

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
Customer Service AI

What It Takes To Achieve Data, AI And Customer Support Excellence

By Advanced AI EditorApril 21, 2025No Comments4 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Kelly Hopping is the Chief Marketing Officer (CMO) at Demandbase.

getty

In 2024 alone, enterprise companies worldwide spent more than $1 trillion on software. This sum represents a collective hope in technology’s promises, ranging from increasing a company’s efficiency to boosting revenue, improving the lives of its employees and beyond.

But with every purchase of a system, there must also be trust—in the tech itself and the company that will be using the customer data, making recommendations and offering information that may very well steer operations. With this in mind, here’s a look at what it takes for software providers not just to gain but also to earn that trust.

Data Transparency

Many solutions today center on data, whether that includes aggregating, analyzing or acting upon it. Unfortunately, a great number of the companies behind such solutions treat their software like a black box. They make vague claims about data integrity and give limited information about how it’s sourced and used. This is a problem.

Not all data is equal. Potential buyers should know if one software provider is pulling data from unverified public datasets, while another is getting its data from reliable, industry-leading databases. Data quality is a critical factor in the quality of a platform’s ultimate outputs and results.

Customers need to be able to access—and trust—a system’s data to confidently act on it. But how can they do that if they know nothing about what’s going on behind the scenes? If quality is behind the curtain, a company should be all too happy to pull it back and reveal that to its customers.

AI Transparency

Similar to the importance of visibility with data, there’s a need for visibility into AI models. Of course, it’s all connected, as AI models powered by accurate and consistent data should yield reliable outcomes. But given the nature of AI and its complicated ethics, it’s all the more important for companies to be proactively open with customers about their relationship with the technology.

To be more specific, software providers should be transparent about how their technology uses AI to make decisions. This helps customers gain clarity and make more informed choices. It also helps them trust the system and the company, knowing that it’s under strategic, human direction and operated based on clear guidelines.

Additionally, when internal team members can trust the quality of the data in their systems and the AI trained using that data, there’s greater alignment across teams and business objectives. This unity around—and faith in—the technology gives everyone equal understanding and keeps them working toward shared goals.

Customer Trust

Some software providers overlook another crucial matter tied to trust and transparency: customer support. Many buyers appreciate the attention they get throughout the buyer journey, even going so far as to be connected with a company’s CEO during the process. But the attentiveness disappears once they make the purchase decision and the sale is closed. There are no more VIP meetings with executives or one-on-one support from a product expert.

To say this feels like a bait and switch is an understatement, and such outcomes dramatically undermine any trust built earlier. Instead, companies must be transparent about their buyer journey, from that first awareness stage through to onboarding and support. Buyers should know what to expect, who their points of contact will be and how they can maximize value once they’re officially a customer. They should also receive consistent, reliable help throughout their journey—not just until they make a purchase.

This is another area where using shared, trusted data insights can make all the difference. With access to accurate, up-to-date information, support agents can provide consistent service tailored to each customer’s needs, resulting in faster resolutions and a more personalized experience. This can boost trust, improve customer satisfaction and foster long-term loyalty.

Final Thoughts

To earn trust and achieve excellence in data, AI and customer support, you must start with transparency. By prioritizing proactive openness in these areas, your customers can be confident in your processes and the value you deliver. This is what strong relationships—and business success—are built upon.

Forbes Communications Council is an invitation-only community for executives in successful public relations, media strategy, creative and advertising agencies. Do I qualify?



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleBuilding a foundation with AI to jumpstart your journalism
Next Article Conversational AI Market to Reach $41.5 Billion by 2030:
Advanced AI Editor
  • Website

Related Posts

Konvo AI lands €3.5M to transform ecommerce customer service into a sales engine — TFN

September 23, 2025

Turning Chatbot Frustration Into Customer Loyalty

September 23, 2025

Why automated customer service is bad for customer loyalty

September 23, 2025
Leave A Reply

Latest Posts

Court Rules ‘Gender Ideology’ Ban on Art Endowments Unconstitutional

Rural Danish Art Museum Acquires Painting By Artemisia Gentileschi

Dan Nadel Is Expanding American Art History, One Outlier at a Time

Bernard Arnault Says French Wealth Tax Will ‘Destroy’ the Economy

Latest Posts

Tech Brief (Sept. 24): Mercedes-Benz, ByteDance Partner on In-Car AI

September 24, 2025

Perplexity AI Browser Now Available in India- How is it different from Google Chrome?

September 24, 2025

Mano Report – Takara TLDR

September 24, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • Tech Brief (Sept. 24): Mercedes-Benz, ByteDance Partner on In-Car AI
  • Perplexity AI Browser Now Available in India- How is it different from Google Chrome?
  • Mano Report – Takara TLDR
  • Alibaba Launches Qwen3-Max, Its Most Advanced AI Model Yet
  • The Missing Link in OpenAI’s Deal With Nvidia: Access to Power

Recent Comments

  1. ThomasPal on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  2. Forrestidorb on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  3. FurousaLasix on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  4. shiningcrown on Zegna’s SS ‘26 Dubai Show Is A Vision For A Slow, Quiet Luxury Legacy
  5. shiningcrown on Anthropic’s popular Claude Code AI tool now included in its $20/month Pro plan

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.