SaaStr
NOVEMBER 8, 2024
So clearly AI is rapidly changing the way we do sales, but how will it all shake out? Over in the contact center and post-sales space, we can already see 20%+ of customer support execs been routinely replaced by AI. But is it working yet, these AI SDRs? 83% of you haven’t gotten anything from AI SDRs.
SaaStr
DECEMBER 31, 2024
AI is all over their homepage and website and comms. I asked him about a particular use case for AI, and his answer shocked me a bit: Honestly, our AI is basically still in beta. ZoomInfo has rocketed to $100m in AI Copilot already. What will AI truly bring to your app and competitors apps in 2025?
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SaaStr
JANUARY 11, 2025
"Software engineers working in AI earned 48% more than the average software engineer at the company, according to a payroll spreadsheet shared with BI." But AI is challenging this. The AI Team often makes a lot more. The AI Team at many SaaS startups makes 30%-40% more. It creates issues and drama. What About You?
SaaStr
DECEMBER 19, 2024
Salesforce, Nov 2024: We're hiring 1,000 new sales execs to sell AI! in sales to sell AI. Per The Information , Benioff has also instructed his sales team to go all-in and put AI and Agentforce into every deal possible. It’s a bit counterintuitive at first — isn’t AI replacing people? Not really.
Advertiser: Data Robot
In our AI in Manufacturing eBook, you can learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform. Get this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. How AI modernizes demand forecasting, supply chain, and predictive maintenance.
SaaStr
FEBRUARY 3, 2025
50 cents of compute for 500 dollars of value — Sam Altman (@sama) February 3, 2025 So just how much will AI remake classic B2B software? On the one hand, new AI-first entrants are rocketing to $10m ARR in a year. And all the leaders in SaaS are leaning in on AI, from Salesforce to Asana to HubSpot to ServiceNow and more.
SaaStr
APRIL 8, 2025
So it’s become a thing with many founders and VCs to think how far you can go in AI today. Many of the early break out leaders in AI for B2B and otherwise have been “small but mighty teams” Honestly we’d all love it if that scaled. So that 30 person, $100m ARR AI B2B start-up? Much faster.
Advertiser: Data Robot
Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Building trust in AI.
Speaker: Data Robot
Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere.
Advertiser: Data Robot
The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. Are you ready to deliver fair, unbiased, and trustworthy AI?
Advertiser: Data Robot
You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor. The five key things to consider when looking for an AI vendor.
Advertiser: Data Robot
For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale.
Advertiser: Data Robot
An organization’s path to AI success can be full of obstacles, from a proper assessment of its own AI maturity, to a better alignment between business and technical teams, many factors can influence the outcomes. While AI progress is hard, companies don’t have to get stuck in an endless loop of inertia on their path to value-driven AI.
Advertiser: Data Robot
Capitalizing on the incredible potential of AI means having a coherent AI strategy that you can operationalize within your existing processes. Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. AI storytelling in communicating value to your organization.
Advertiser: Data Robot
Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? The business and creative possibilities are practically limitless with generative AI.
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