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Clouded Judgement 1.24.25 - The Year of Enterprise AI

Clouded Judgement

Subscribe now The Year of “Enterprise AI” One of the biggest challenges facing AI systems in enterprises today is the “last mile” problem: how do you make AI both reliable and accurate for specific enterprise use cases? However the pace of innovation in large language models is extraordinary.

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Cutting Through the Noise of Gen AI with CEOs of Writer, Orby and Limitless + NEA

SaaStr

Cutting Through the Noise: Three Gen AI Pioneers Reshaping Enterprise Technology In a pivotal moment for generative AI, Vanessa Larco, partner at NEA, brought together three visionary CEOs convened at SaaStr Annual to share insights that are redefining the technological landscape.

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5 Interesting Learnings from Palantir at $2.7 Billion in ARR

SaaStr

Artificial Intelligence Platform (AIP) is a Year Old But Fueling $159m in Q2 Bookings Alone To some Cloud and SaaS leaders, AI is a table-stakes addition. Closed 27 Deals Over $10,000,000 and 96 $1,000,000 Deals — Just Last Quarte r Palantir is very enterprise. #5. Pretty impressive. #2. Grow AND be more efficient?

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Mastering Growth in the AI Era: How to Stand Out, Acquire Customers, and Raise VC Dollars with B Capital, Zetta, and Glasswing

SaaStr

The harsh reality: Most enterprises are adopting AI due to FOMO (Fear Of Missing Out) rather than for specific business outcomes. Project Selection: Where Enterprises Go Wrong Many companies stumble by deploying AI in high-risk, customer-facing applications first (like chatbots). This is exactly backward.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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5 Things That Are Actually Working and 5 Things That Aren’t in B2B SaaS AI with Ironclad’s CEO and a16z

SaaStr

Ironclad CEO and co-founder Jason Boehmig joined Seema Amble, Partner at Andreessen Horowitz at SaaStr Annual to share their observations on what’s currently working and what’s not quite there yet for Artificial Intelligence (AI) in SaaS. The self-serve enterprise can be tough versus humans leaning into the bigger deals.”

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A Shift in LLM Marketing : The Rise of the B2B Model

Tom Tunguz

Snowflake announced Artic , their open 17b model. The LLM perfomance chart is replete with new offerings in just a few weeks. One thing stands out from the announcement - the positioning of the model. This push will be echoed by others as models start to specialize. It’s hard to discern the most recent dots.

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The Business Value of MLOps

As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Download the report to find out: How enterprises in various industries are using MLOps capabilities.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization.

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5 Things a Data Scientist Can Do to Stay Current

With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.