Prompt and data engineering (PxD) are the twin capabilities helping firms unlock their data, up-skill their teams, and translate generative AI into real customer value. Infobip and HumanFirst featured in the Financial Times - a really great piece that captures what we’re working on. https://lnkd.in/gKGa6SkB #AI #CX #FinancialTimes #Infobip #LLMs #Artificialintelligence
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Senior Customer Success Manager at Tealium | Data-Driven Marketing Leader | Driving Enterprise Growth Through Data-Driven Strategies
Are you ready to unlock the full potential of your enterprise's data? With Tealium for AI, you can do just that. Tealium recent release offers a seamless integration of various data sources, making it more than just a data collection tool. It's the cornerstone of your AI success story. By streamlining data wrangling and ensuring compliance across all fronts, Tealium for AI becomes your trusted companion on the journey towards data-driven decision-making. So, let's explore the possibilities. With Tealium for AI, you can revolutionize customer service with AI-powered chatbots fueled by accurate and up-to-date data. You can optimize supply chain management by predicting demand patterns and fine-tuning inventory levels. You can even innovate product development by analyzing customer feedback and uncovering new avenues for growth. Whether you're venturing into uncharted territory or optimizing existing processes, Tealium for AI could be the tool you need to drive meaningful impact within your enterprise. To learn more about how Tealium for AI can transform your data strategy, refer to our release. Let's make waves in the world of AI, one data-driven decision at a time. To know more, please reach out to us Sean van der Vliet Shadi H. #Tealium #AI #DataDriven #CustomerExperience #CDP
Tealium releases solutions for enhancing AI performance with consented, enriched, real-time data
globenewswire.com
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If we're to successfully realize the activation gap between the possibilities of AI and its practical usage, we'll finally have to address the topic of data sharing as Chris Hecht, SVP of Corporate Development & Product Partnerships, at Databricks points out. #ai #cx
AI is Rewriting the CX Playbook
cdotrends.com
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Discover how SoftServe assisted a client in leveraging advanced AI models to enhance their data analysis process and elevate user experience. Read the case study to learn more: https://sftsrv.com/Zjw0o5
AWS and Gen AI Help Luminoso Deliver Fast Customer Insights | SoftServe
softserveinc.com
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A Complete Guide to AI for Business: Boost Productivity, Enhance Customer Experience, and Improve Decision Making Paperback https://lnkd.in/gNpcxAer #aiforbusinessreview #aibusiness #artificialintelligence #businessintelligence #machinelearning #deeplearning #datascience #bigdata #analytics #optimization #automation #innovation #disruption #transformation #futureofwork #digitaltransformation
A Complete Guide to AI for Business: Boost Productivity, Enhance Customer Experience, and Improve Decision Making Paperbac
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A Complete Guide to AI for Business: Boost Productivity, Enhance Customer Experience, and Improve Decision Making Paperback https://lnkd.in/gQJe_-wf #aiforbusinessreview #aibusiness #artificialintelligence #businessintelligence #machinelearning #deeplearning #datascience #bigdata #analytics #optimization #automation #innovation #disruption #transformation #futureofwork #digitaltransformation
A Complete Guide to AI for Business: Boost Productivity, Enhance Customer Experience, and Improve Decision Making Paperbac
https://ncshahareview.com
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Small Business Cybersecurity & IT Solutions | Small Business Cyber Risk & Compliance Expert | Medical IT, Financial IT, Legal IT, & Web Solutions Consultant | Virtual Chief Information Officer | Managed Service Provider
9 Smart Ways for Small Businesses to Incorporate Generative AI
9 Smart Ways for Small Businesses to Incorporate Generative AI | PlanIT – Technology Success for Business
https://planitinnovate.com
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We are proud to share that NICE is named Overall Leader in Technology Excellence and Customer Impact for Enlighten AI in the 2023 SPARK Matrix™ Speech Analytics Report. Find out why >> https://okt.to/1NqGQL #CustomerExperience #Analytics #ArtificialIntelligence
NICE Named Overall Leader in Technology Excellence and Customer Impact in 2023 SPARK Matrix™ Speech Analytics Report
nice.com
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In SugarCRM's 2024 State of #CRM Report, 80% of respondents aim to implement #AI across their company in the next 5 years. As #GenAI becomes more ubiquitous, how can we build a solid foundation of trust with our customers? Learn more here: https://sgrcrm.co/48N5JAz
Generative AI, Customer Experience, and Trust | SugarCRM
https://www.sugarcrm.com
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We are proud to share that NICE is named Overall Leader in Technology Excellence and Customer Impact for Enlighten AI in the 2023 SPARK Matrix™ Speech Analytics Report. Find out why >> https://okt.to/bQjP0k #CustomerExperience #Analytics #ArtificialIntelligence
NICE Named Overall Leader in Technology Excellence and Customer Impact in 2023 SPARK Matrix™ Speech Analytics Report
nice.com
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Must read for anyone in Customer Experience looking at AI 👇🏼 Came across this cracking McKinsey & Company article over the weekend, that sets out the early successes and challenges with adopting AI within customer services The business case for AI within customer service is strong but successful adoptions is mixed - with some organisations struggling to capture value ➡️ They identify 5 barriers to impactful AI adoption within customer services ➡️ They explain 3 different options when assessing your adoption approach ➡️ They share 6 key considerations that will enable a successful adoption Here are the key points The 5 barriers to adoption are: 📈 Maintaining high-quality data (Gen AI output is as only as good as the data that is draws from) 📊 Understanding the business case (Pick the right use cases to ensure Gen AI is the right solution) 👫 Designing with the end user in mind (keep this front and centre, otherwise you’ll go off-roading) 🦹🏻♀️ Securing the right talent (data scientist and data engineers are hot property) 🚙 Prioritising change management (it’s never just tech, consider the whole change picture: bring people with you on the journey) The article suggests three adoption approaches depending on your organisations maturity: 👉🏼 The Taker = buys off-the-shelf Gen AI capability 👉🏼 The Shaper = same as taker, but integrates with internal data and systems 👉🏼 The Maker = yeah you guessed it, these develop their own models from scratch To move from assessment to deployment, they share 6 key considerations to bake into your Gen AI adoption plans: 1️⃣ Data (surprise, surprise) - understand current data access and quality of the data available (e.g. ensure call recordings are easy to access and in the right format) 2️⃣ Service Strategy - align Gen AI with your overall strategy and technology ambitions. Identify key use cases that address opportunities to specific pain points 3️⃣ Operating Model - Gen AI is not just about technology, to ensure you select, develop, implement, maintain and adapt AI tools you must have an operating model that supports and enables 4️⃣ Talent - people are central to the success of Gen AI adoption; understand your skill gaps and recruit or develop talent (or choose the right adoption approach aligned to your capabilities) 5️⃣ Technology - Gen AI solution ecosystem is constantly evolving, with options becoming overwhelming; work through your use cases, current technology and align the adoption approach against these two (does your current tech stack enable Gen AI already, therefore optimise this rather than developing your own) 6️⃣ Change Management - bring people on the journey with you; effective communication, create early adopters who can be champions on the ground So, what is the best way to build momentum and demonstrate impact quickly? I'll share this tomorrow...as I’ve reached the character limit for this post 🤓 #customerexperience #AI CX score
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Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
2wYou highlighted the crucial roles of Prompt and Data Engineering in unlocking data and enhancing team skills, which reminds me of the early days of cloud computing where data accessibility revolutionized industries. Historically, as seen with cloud services, integrating these capabilities can lead to significant value creation. Drawing parallels with the cloud's impact, how do you foresee Prompt and Data Engineering shaping customer experiences in the next five years, especially in terms of personalization and responsiveness? If we consider a scenario where these engineering practices are applied to real-time customer service, what specific strategies would you employ to ensure seamless and adaptive customer interactions?