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Using Generative AI to Drive Corporate Impact

TechEmpower SaaS

In the domain of Product Research and Development (R&D) , generative AI acts as a catalyst for innovation, significantly accelerating the ideation and creation phases of product development. AI's prowess in detecting and preventing fraud provides an added layer of security, safeguarding assets and transactions.

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Systematizing Go-To-Market Hiring

Tom Tunguz

Preparation, adaptability, domain experience, & intelligence topped the list. It formed the basis for a career at HubSpot predicated on consistent quantitative analysis to scale the go-to-market, which he detailed in the Sales Acceleration Formula in 2015. This chart holds the secret to successful hiring of go-to-market teams.

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The Convergence of Data & Software Engineering in the Age of AI

Tom Tunguz

Twenty years ago, the data team meant managing centralized BI & producing analysis in Excel. But today, data teams are engineering teams in their own right, with specialized tools for their particular domain. They are central to product development & operations in technology companies.

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Centaurs & Cyborgs : The Jagged Frontier of AI

Tom Tunguz

Last week, Harvard Business School released its analysis of LLMs on 758 consultants’ performance when using AI. Persona Practices & Descriptions Centaur Ask AI to map a problem domain Refine human input & improve its presentation Cyborg Ask the AI to simulate a type of personality or character (e.g.,

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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How Is AI Going To Impact The SaaS Landscape Over The Coming Years with a16z GP Kristina Shen

SaaStr

Wave 2: SynthAI — Converging Information For Improved Decision-Making The more judgment and domain expertise required, the more human refinement is also needed. It enables data scientists and analysts to do an incredible analysis by leveraging AI, but it still requires a human to make those decisions.

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Observations Using LLMs Every Day for Two Months

Tom Tunguz

I’ve been using large-language models (LLMs) most days for the past few months for three major use cases : data analysis, writing code, & web search 1. With so many brilliant people working in this domain, new solutions will certainly address these early challenges.

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