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Thanks to Brex, Sisu Data, Tiny Technologies, Avnio, and Baton for Sponsoring SaaStr Annual 2022!

SaaStr

Sisu is a Decision Intelligence Engine where everyone can quickly and comprehensively leverage their cloud data to understand what’s happening, why it’s happening, and how to take action. The post Thanks to Brex, Sisu Data, Tiny Technologies, Avnio, and Baton for Sponsoring SaaStr Annual 2022! Grab tickets here.

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Mailchimp’s ex-Head of Data Platform: “Data Doesn’t Have to be Hard — Three Data Myths and How to Bust Them”

SaaStr

Data Doesn’t Have to be Hard: Three Data Myths and How to Bust Them with Mailchimp with John Humphrey, former Head of Data Platform Product at Mailchimp John Humphrey, former head of data platform product at MailChimp and current principal at mfact, joined SaaStr live at Workshop Wednesday to discuss three data myths and how to debunk them.

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Core responsibility: How we scaled our core technologies team

Intercom, Inc.

It’s a familiar problem for all companies that scale fast – how do you keep your core technologies manageable for the increasing number of teams that depend on them? This surfaced as an increasingly large percentage of our product teams’ time being spent on operations or deep diving into understanding our small set of core technologies.

Scale 216
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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

At SaaStr Annual , IBM’s VP of Software and Technology Raj Datta and Director of Startups Kylie Rutherford shared how AI is changing the game for companies of all sizes. Security is all about where data is coming from and how you’re training your models. growth in the last few months alone.

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Why B2B Contact and Account Data Management Is Critical to Your ROI

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. The digital age has brought about increased investment in data quality solutions. However, investing in new technology isn’t always easy, and commonly, it’s difficult to show the ROI of data quality efforts.

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24 AI Podcasts to Expand Your Knowledge & Explore the Future of Technology

User Pilot

In this article, we’ve selected 24 of the best AI podcasts for you to listen to improve your knowledge of AI and keep up to date with the future of AI technology in product management and more. It is a valuable resource for ML/AI researchers, data scientists, engineers, and tech-savvy business and IT leaders. TL;DR Podcast.ai

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Cloud Data Lakes - The Future of Large Scale Data Analysis

Tom Tunguz

Cloud Data Lakes are a trend we’ve been excited about for a long time at Redpoint. This modern architecture for data analysis, operational metrics, and machine learning enables companies to process data in new ways. We’re all storing data at increasing rates because every team inside a company needs data to succeed.

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Data Science Fails: Building AI You Can Trust

Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology. Organizations must feel confident that human error did not inadvertently contribute to AI bias that resulted in inaccurate or misleading findings.

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How to Stay Competitive in the Evolving State of Martech

Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researching innovations to expand and refine their technology stacks.

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The Executive Guide to Generative AI

Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? As a leader, it's going to be tempting for your team to want to tinker with the technology, but it’s important to focus your team on the value.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams. The Forrester Wave™ evaluates Leaders, Strong Performers, Contenders, and Challengers.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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Reaching Unreachable Candidates

Speaker: Patrick Dempsey and Andrew Erpelding of ZoomInfo

Find and connect with the right talent to fill roles fast with these tools: More data! Advanced search: Narrow the search to find candidates using specialized filters like education, and current company technologies. We have added 10's of millions of personal emails and mobile records.

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Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. The risk of bias in artificial intelligence (AI) has been the source of much concern and debate.

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MLOps 101: The Foundation for Your AI Strategy

Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. Download this comprehensive guide to learn: What is MLOps? Why do AI-driven organizations need it?