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Creating customized emails with value messaging that will resonate with buyers can be a difficult task to achieve. Product leaders: Take advantage of AI text generator tools to augment capabilities in your sales prospecting email efforts: https://gtnr.it/4fMzuoO Gartner for High Tech | #GartnerHT #AI #GenAI #Tech #TechMarketing

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Zahra Latifi

MSc in Management and Digital Business, LJMU, England, UK

2w

Leveraging generative AI to enhance content creation, especially in areas like personalized email messaging and content marketing, is a game-changer for product leaders. Crafting tailored emails that resonate with buyers often requires a deep understanding of customer pain points and value propositions...! AI-driven tools can significantly augment these efforts by efficiently generating compelling and relevant content, allowing sales teams to focus more on strategic engagement rather than getting bogged down in the minutiae of content creation. As AI continues to evolve, its role in refining and scaling personalized communication will only grow, making it indispensable for forward-thinking organizations.

Yariv Adan

Early stage AI startups investor - reach out to me with opportunities! | Ex Senior Director @ Google AI, Google Zurich Site Lead

2w

Very easy to be cynical about the current issues, but impossible to ignore the unprecedented rate of progress across multiple critical dimensions, over the past <2 years. All are directly related to business value, and IMHO pointing to a clear future: 1) Context window size grew 3 orders of magnitude 2) Prompt complexity evolved through multiple step functions - prompt engineering, prompt tuning, "reasoning and planning" , LLM promoting, prompt "compilation" 3) From hallucinations based on stale model knowledge to grounding in recent and relevant data via RAG - Which also went through multiple step function improvements both in indexing time and query time 4) Ability to correctly parse complex unstructured data went from zero to hero 5) Ability you reliably parse and generate valid structured data went from zero to hero 6) From answers to generating and running code on the fly 7) From chat to immersive UI generated on the fly 8) Model size and speed improved by order of magnitude while price went down multiple orders of magnitude 9) From simple prompts to chains to graphs to agents to multi agents to x-multi agent collaboration 10) From giving your company secrets to OpenAI in the prompt to Enterprise ready cloud offerings

Anton Chuvakin

Security Advisor at Office of the CISO, Google Cloud

2w

Hmm... coding is at the bottom? I wonder what the audience was for this survey..

Suvesh Kumar

Digital Transformation. Manufacturing Excellence & EPM. SME Supply Chain, Forecasting & Planning. Project Management. Global rollout of Anaplan, ERP, BI & CRM. BPR. Gen AI. SAP S4 Hana. Infor LN. P&L Management.

2w

We are using Gen AI for conversational user interface & content generation in manufacturing sectors and covering areas like Quality, Cost, Productivity & Delivery. What is important is clear understanding of business process and data, ability to analyse complex unstructured data into logical syntactic components, generating and running code on the fly, small model size for improved speed, simple prompts to chain to graphs and last but not the least, GO SIMPLE, SMALL, DO NOT GET OVERBOARD.

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Robert Juricic

▶Maintaining the largest database for discontinuation and change notices in the smartPCN standard | Empowering customers to validate their BOMs against the most comprehensive PCN/PDN database available◀

1w

AI-generated emails can boost efficiency, but with inboxes already flooded with similar pitches, prospects often can't see the forest for the trees. Plus, many customers are wary of being funneled into automated sales processes. It's crucial to balance AI's capabilities with genuine, personalized messaging to truly resonate and build trust. Getting your name and service out there, AIs your friend. Selling to people, thats your job mate!

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Gartner, this is a timely reminder of the power of AI in enhancing sales efforts. Crafting personalized, value-driven emails can be challenging, but leveraging AI text generators is a smart way to boost efficiency and effectiveness. It’s exciting to see how technology continues to shape and elevate our approach to sales and marketing. Thanks for sharing this valuable insight!

Mark Richter

GreenOps | Sustainable IT | FinOps | Speaker | Strategic leader

2w

Lovely use cases. Now, let’s talk about the business value of using Gen AI. Heads up- you must include the cost of cleaning up the GHG your LLM training and inference cause. Go. I’ll wait.

Anupama Mahapatra

Head of Digital Marketing @ CDN Solutions Group | Hubspot Inbound, Google Ads Search, CDMM

2w

Generative AI is a game-changer, especially for the Marketing Team. As a B2B marketer for CDN Solutions Group, I use Various AI applications for almost all the use cases mentioned here. Productivity has jumped many fold as now I can focus more on goals and objectives rather than format, design, tone, and language. Honestly, it feels quite liberating to reduce the dependency on designers, content writers, analysts, etc.

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Ricardo Rocha

Managing Director, North America @ Noesis | Executive IT Leader | Scaling Growth & Operations | Using Tech to help your business grow faster

2w

Understandable yet concerning statistics. Understandably, content generation for marketing would be an obvious Gen AI use case. Yet, it seems to be poorly used by lazy marketeers and SDRs. I see a lot of "empty" posts and perfectly" AI-crafted cold emails these days, resulting in inconsequential content...

Great advice for product leaders! AI text generator tools can definitely enhance sales prospecting email efforts and make it easier to create customized emails with value messaging!

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