Sameer Dholakia’s Post

𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧: Vertical AI’s market capitalization will be at least 10x the size of legacy Vertical SaaS. Vertical SaaS proved to be a sleeping giant that transformed industries during the first cloud revolution. Today, the top 20 US publicly traded vertical SaaS companies represent a combined market capitalization of ~$300B. Now, Vertical AI applications are targeting the high-cost, repetitive, language-based tasks that dominate large sectors of the economy. Here are the three new Vertical AI business models to know: ⚙️ 𝐂𝐨𝐩𝐢𝐥𝐨𝐭𝐬 use large language models (LLMs) to automate tasks. ⚙️ 𝐀𝐠𝐞𝐧𝐭𝐬 fully automate workflows on behalf of humans. ⚙️ 𝐀𝐈-𝐞𝐧𝐚𝐛𝐥𝐞𝐝 𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 automate traditionally outsourced services, like accounting, billing, and legal writing. Dive into State of the Cloud 2024 to read more about this trend ⤵️ https://lnkd.in/grhwg8C3

Could not agree more. Our thesis on AI is the same. Vertical applications is where its at. System of Record / Data Capture Machine first, and then layer on AI. OR Fully re-imagine the workflow through AI.

Great take-aways on focusing on monetizing #AI (vertical AI?) , product led growth in vertical SaaS , improving the overall operations and employee productivity to increase the ARR per FTE. The 2023 SaaS Benchmarks Report from OpenView and Paddle is live! Get all the insights and data to see how your company compares. Access the report here: https://lnkd.in/gaj7UCty #verticalsaas #aiinnovation #verticalAI #productledgrowth

deepset Cloud is streamlining the way AI teams build real-world applications with LLMs. It's 'compressing time' by offering an indispensable toolkit and infrastructure that mitigate the risks associated with designing and implementing an LLM-based application architecture. Aside from augmenting internal platforms and toolchains, it also brings useful templates and trusted reference implementations – all based on deepset's years of experience in implementing scalable solutions for enterprise customers. https://hubs.li/Q02kHdvz0

Check out the video Amazon Web Services (AWS) made about our partnership! AWS and Slalom Build helped us realize our dream of developing a smart resource management tool for modern project teams.     #ResourceManagement #Technology #AWS #SlalomBuild #ProjectTeams #Scheduling 

Drivers for GenAI initiatives have shifted from initial hype and FOMO to business value. I distilled some of the guidance Caylent has been sharing with our customers that can seem counterintuitive at first - be thoughtful and strategic while moving quickly and experimenting. Modular architectures and model marketplaces like Amazon Web Services (AWS)' Bedrock and SageMaker provide numerous options and avoid lock-in so that your solution can evolve as fast as the model providers. This is just the tip of the iceberg - reach out to dig deeper into what it means for your business. https://lnkd.in/gT-bwihv

Few financial services firms have been able to successfully deploy and scale #GenAI solutions. Last year, the focus on GenAI was heavily centered around building PoCs and use cases. If you attended #GoogleCloudNext, you would have heard how some of the world's largest companies have shifted the conversation from creating PoCs to scaling and embedding #GenAI solutions into their businesses to maximize value and ROI. I had the pleasure of working with Andy Lees and Gopal Srinivasan from Deloitte and Nigel Walsh and John Froese from Google Cloud to launch our latest report. It offers valuable insights into how financial services organizations can move beyond #AI use case ideation and prioritize use cases effectively.

If you're looking for some long weekend reading ( 🇨🇦 🎇) , Bessemer's State of the Cloud report is a gem. Great perspective throughout on what they are calling the AI Cloud. Of course, I was especially keen on Section 4 about Vertical AI 👨💻 🤓 A few points stuck out: - Vertical AI as most disruptive to professional services, which is 13% of GDP in the US, and consists largely of specialized and repetitive language tasks. - The coming battle between traditional software first strategies (eg, gen AI accounting software) vs. tech enabled services (gen AI powered accounting firms). - AI first software as mostly growing the vertical SaaS pie by adding on new functionality and workflows that are complimentary to the existing stack. - The potential of AI-first software companies to combine high growth and efficiency (they quote 1X burn multiple + 400% growth for top performers 🤩 ) - The real margin impact of model costs - they quote companies at 65% vs. traditional 80% - 85%. But seems like the long term bet is these costs will fall just like chips and cloud. I also happily co sign their summary point: Overall, while we expect massive value creation in the model layer, this data tells us that as with past infrastructure innovations, the majority of enterprise value will once again be captured in the application layer. At the end of the day, it's all about the product. https://lnkd.in/ekBi65Vn

One thing we think deeply about in our AI investing is long term defensibility. There are multiple dimensions to building moats, but a critical one is data, especially in Verical SaaS, which my colleague Julia Maltby deftly expands on here https://lnkd.in/eHAB2_GV

Imagine a world where your financial operations are not just managed, but intelligently optimized. Picture your cash flow forecasts being so accurate they anticipate market shifts before they happen, your customer service being so personalized it feels like every client has their own dedicated financial advisor, and your compliance measures being so robust that regulatory audits become a breeze.  At CloudLeaf, we make this a reality by leveraging the transformative power of generative AI. Our partnerships with Cloud providers like #Google, #Oracle, #AWS, #Microsoft and #Snowflake give us access to cutting-edge AI solutions that can drive unparalleled efficiency, precision, and innovation, ensuring your organization stays ahead of the curve in an ever-evolving market. For customized #AI, #ML and #DataAnalytics in #Finance, visit us: https://lnkd.in/gymzN3xD or reach out to us: [email protected]