The Daily Egg
AUGUST 21, 2020
By 2025, we’re projected to produce 463 exabytes (4,630,000,000,000,000,000 bytes) of data every day. Which is cool and all… but what does that mean for business owners, digital marketers, bloggers, and data engineers? Big data presents an unprecedented level of insight into your […]. It’s a massive opportunity.
SaaStr
DECEMBER 27, 2024
.’ The twist this time is the data is very hard for startups to acquire or accumulate. So it’s not just the innovation piece, but you need a proprietary data set to do something more meaningful with AI. Brian believes incumbent players like HubSpot and Salesforce have some key advantages: 1.
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Tom Tunguz
JULY 30, 2020
Yesterday, Dremio hosted the Subsurface Conference , the first conference on cloud data lakes. If one had doubts that cloud data lakes are a strategic area for many in the data ecosystem, those figures should quash them. 5 Major Trends in Data You Should Know from Tomasz Tunguz. Data systems used to be purchased by IT.
Tom Tunguz
OCTOBER 19, 2023
The patois of data teams has become a dialect of modern engineering teams because the commonalities in the stack. Machine learning’s demand for data has accelerated this movement because AI needs data to function. Twenty years ago, the data team meant managing centralized BI & producing analysis in Excel.
Speaker: Jim Morris, Founder, Product Discovery Group
In this webinar he will discuss: Data interpretation and numerical goal setting. Why you should be involving engineers at every stage of the Cycle. During this presentation, attendees will hear case studies, examples, and best practices gleaned from Jim's 25 years of using the Product Discovery Cycle.
SaaStr
JANUARY 8, 2025
Improving Rev Ops for Data-Driven Decision Making One of Lindsey’s first priorities was diving deep into the company’s existing data to identify trends and leverage these findings for growth. Lindsey found a way to track this data, then brought it into every meeting. Better RevOps uncovered excessive discounting.
Clouded Judgement
JULY 16, 2024
Our platform unifies core financial and broader operational data and processes within a single platform, with solutions that maintain the integrity of corporate reporting standards for Finance while providing operationally significant insights for business users.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. Using this case study, he'll also take us through his systematic approach of iterative cycles of human feedback, engineering, and measuring performance.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)
Speaker: Judah Phillips, Co-CEO and Co-Founder, Product & Growth at Squark
Automating the sophisticated, complex aspects of data science is now simple with the no-code platform Squark. Judah Phillips, the co-CEO & co-Founder of Squark answers the 5 Things You Always Wanted to Know About Automating Data Science, but Never Asked! What feature engineering means, how it's applied to your data, and what it does.
Speaker: Hannah Chaplin - Product Marketing Principal & Steve Cheshire - Product Manager
Without product usage data and user feedback guiding your product roadmap, product managers and engineers end up wasting money, time, and effort building what they think stakeholders want, rather than what they know they need. Leveraging product data to assess true business value and make informed decisions.
Speaker: Donna Shaw - Senior Product Manager & Eric Frierson - Director of Innovation for Public and School Libraries
Nonetheless, by leveraging foresight and valuable insights, you can cultivate a thriving product management team that works together harmoniously to craft customer-centric products.
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But none of this is possible without the most important element of a successful ABM program: good data. Data is the fuel that powers your ABM engine. And yet only 43% of marketers are completely satisfied with the quality of their data. Without it, you can’t find and reach your target accounts.
Speaker: Teresa Torres, Internationally Acclaimed Author, Speaker, and Coach at ProductTalk.org
As a result, many of us are still stuck in a project-world rut: research, usability testing, engineering, and a/b testing, ad nauseam. Data shows that the best product teams are shifting from this mindset to a continuous one. These methods are better than nothing, but how can we improve on this model?
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