SaaStr
DECEMBER 29, 2024
Top Posts of the Week: #1: Salesforce: Actually Were Going to Hire 2,000 Sales Execs Now To Sell AI #2: Gong: $100k Deals Take About 70 Days to Close #3: Why The Greatest Sales Teams Just Kill It On Dec 31. When Everyone Else Has Gone Home. #4: appeared first on SaaStr.
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.
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SaaStr
NOVEMBER 20, 2024
GitHub, founded in 2008, is a leading platform for software development and version control that has made waves since 2018 with its AI Copilot. At this year’s SaaStr AI Summit, GitHub CRO Elizabeth Pemmerl shared how to bring AI products to market at scale successfully. So what does Elizabeth mean by being customer zero?
SaaStr
OCTOBER 18, 2024
Along with co-host Ben Salzman, Jason and Henry discuss the transformative power of AI within SaaS and the evolving dynamics that are reshaping the landscape of software as a service. ” What Will AI Change in Go-to-Market “It will lead to a next level of transparency for leadership,” Jason answers.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond. Key objectives: Introduction to the structures and ownership dynamics of data platform, analytics and AI teams, along with an exploration of various roles in the data ecosystem.
SaaStr
NOVEMBER 7, 2024
Should we care about AI infrastructure when building SaaS applications? Weinstein, and Managing Partner at Bain Capital Ventures, Aaref Hilaly, take the stage at SaaStr Annual to answer this question, plus what to expect with the future of AI. And finally, you build developer tools on top of the model. Think of Notion.
SaaStr
FEBRUARY 7, 2025
Dialpad’s Top Learnings Building Its Own AI Stack When it comes to AI implementation in SaaS, most companies are still figuring out whether to build or buy. But Dialpad has been quietly building their AI advantage for over 7 years, processing more than 8 billion minutes of conversations and hitting $300M ARR along the way.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future. January 18th, 2023 at 9:30am PST, 12:30pm EST, 5:30pm GMT
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Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
Advertiser: Data Robot
Recognizing the need to provide policymakers with accurate predictions of the spread of the coronavirus, DataRobot delivered an AI simulation of the spread of the coronavirus to the Department of Health and Human Services that soon became part of the ecosystem combating the pandemic. Modernization of U.S. health reporting standards.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?
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