Productivity Conference 2024

Congrats! You finally got headcount and/or budget approved to build out more marketing and sales automations. Going from single-player to multi-player builds isn’t that easy though. Scaling automations comes with its own challenges: documentation, error resolution, interfacing with IT, team onboarding/off-boarding, and more. This talk illuminates how to anticipate and navigate these challenges so you can make the most of your newfound resources.

In this talk, we will explore how to offload work to large language models and automate away most "busy work" in order to maximize and enhance productivity on a daily basis. We will do so mainly by exploring how LLMs can callfunctions.

Cold outreach is tougher than ever. Prospects are tuning out cold messages, channels like LinkedIn no longer perform, and buyers’ attention spans are shrinking fast. Five years ago, emails under 200 words got good replies; two years ago, it was 150 words, and today it's under 80 words. People are still open to cold outreach, but it must be concise, on point, and hyper-personalized. Before, there was always a trade-off between “good personalization” or “personalization at scale.” Then AI came along and turned it all upside down. Now, you can serve up hyper-personalization to the masses—just mix a little AI with API, and you've got the perfect recipe.

Ever feel like you’re drowning in technical jargon, struggling to make sense of what your engineers or data teams are saying? You’re not alone. Decoding complex information from technical teams can be overwhelming, leaving you lost in translation. This talk dives into how you can harness AI to cut through the noise, decode technical jargon, and turn complex information into clear, actionable insights.I’ll cover specific examples such as:
- Using ChatGPT to Simplify Tech-Speak: Learn how to take dense technical discussions and use AI to translate them into clear, actionable summaries for non-technical stakeholders.- Arc’s Built-In LLM for Rapid Insight Extraction: See how this tool helps you quickly distill the most important insights from lengthy web pages or technical documents, saving you time and frustration.- AI- Note-Taking with Reflect: Discover how to streamline knowledge management by using AI to create concise meeting summaries and iterate on key points effortlessly.- Setting Up AI-Driven Chatbots for Routine Inquiries: Explore how to deploy chatbots to handle repetitive queries from partners or stakeholders, freeing you up to focus on strategic tasks.
Get ready for real-world examples, live demos, and actionable advice that will transform how you approach cross-functional communication and collaboration in your organization.

In this talk, we'll to cover key features of Amazon Q Developer and demonstrate how it can enhance a developer’s workflow. The session will include live demos of:/dev@workspaceCode Scan@git and @history from Q-Cli
I’ll also showcase real-world customer case studies to highlight the practical applications of these features.

In this engaging talk, we will delve into the journey of building, testing, and deploying a web app while examining the capabilities and limitations of ChatGPT-4 in web development. Through the lens of this comprehensive process, we will explore how AI-driven development techniques can contribute to a more efficient workflow and discuss the challenges that may arise. Attendees will gain a deeper understanding of how to effectively incorporate ChatGPT-4 into their projects, focusing on striking the right balance between automation and manual efforts. Join us as we navigate the ever-evolving landscape of web development and investigate the role of AI in shaping our development strategies.

Dive into the emerging field of Developer Productivity Engineering (DPE) and uncover how staying on the Individual Contributor (IC) track does not mean compromising impact. This session will introduce the foundational principles of DPE, explore the SPACE framework, and teach you how to apply your engineering skills beyond code.

Expect to navigate through real-world case studies, gain insights from personal experiences, and learn how to make developers in your company happier so they can produce better software faster.