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How to Navigate the Shift to Generative AI with PagerDuty’s CEO Jennifer Tejada

SaaStr

As the kickoff to our first fully digital SaaStr AI Day, Jennifer Tejada , the CEO of PagerDuty, chatted with Jason Lemkin, SaaStr CEO and Founder, about navigating the shift to Generative AI and what Artificial Intelligence in SaaS might look like in the next 6 months, as well as years to come.

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16 Changes to the Way Enterprises Are Building and Buying Generative AI

Andreessen Horowitz

Generative AI took the consumer landscape by storm in 2023, reaching over a billion dollars of consumer spend 1 in record time. Over the past couple months, we’ve spoken with dozens of Fortune 500 and top enterprise leaders , 2 and surveyed 70 more, to understand how they’re using, buying, and budgeting for generative AI.

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How IBM Sees AI Changing the Game for Companies of All Sizes with IBM’s VP of Technology and Director of Startups

SaaStr

There’s a level of productivity you can improve by leveraging AI with things like content generation. AI can build job posts for you, proofread, edit, and update verbiage. Ai made it possible to engage with students, teachers, and others within the platform, save on customer service headcount, and scale the company.

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What is AI marketing? Everything digital marketers need to know

Unbounce

And of course, the invention of artificial intelligence. AI is totally reshaping how we work, how we create, how we communicate—and it’s getting more and more accessible each day. How do I add AI to my marketing strategy? What are some AI marketing trends? What is AI marketing? The invention of wheels.

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Kellblog Predictions for 2024

Kellblog

Per LinkedIn , headcount is up 240% over the past two years. AI Climbs the Hype Cycle. In In 2023, artificial intelligence peaked on Gartner’s hype cycle. This marked a crucial juncture for AI, transitioning from hype to practical use, demanding responsible implementation. Bombed out. From RAGs to Riches. Consider

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How to Improve Sales Forecasting with AI

InsightSquared

But despite all the variables, AI and machine learning are helping sales leaders improve accuracy—and go beyond the actual number to also improve execution. . It enables your company to set a budget, make headcount decisions, fund marketing and product investments, determine expansion timelines and much more.