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53 Questions Developers Should Ask Innovators

TechEmpower SaaS

Even when they have talked to multiple developers or development firms, we’re often the first to ask basic questions like “Who are your customers?” ” or “Are you developing for desktop, tablet, mobile, or all three?” The innovator/developer relationship needs to be a conversation.

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Using Generative AI to Drive Corporate Impact

TechEmpower SaaS

Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.

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AI Design Patterns

Tom Tunguz

As we’ve been researching the AI landscape & how to build applications, a few design patterns are emerging for AI products. They help us understand how builders are engineering AI applications today & which components may be important in the future. The first design pattern is the AI query router.

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The AI Trust Fall

Tom Tunguz

But we will probably think this way about AI & this will very likely change the way product managers on-board users. But today, with every AI software now tucking a disclaimer at the bottom of the page, we will be wondering. The more important the work, the greater peoples’ need to be confident the AI is correct.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?

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Generative AI – The End of Empty Textboxes

TechEmpower SaaS

Now that AI is here to help, every textbox is an opportunity to help a customer through the challenge. Do you participate in professional development workshops, or perhaps enjoy problem-solving puzzles in your downtime? TechEmpower can help In the era of LLMs and Generative AI, empty textboxes are a product mistake.

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How to Use Generative AI and LLMs to Improve Search

TechEmpower SaaS

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day. Strive for a balanced outcome.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond. Key objectives: Introduction to the structures and ownership dynamics of data platform, analytics and AI teams, along with an exploration of various roles in the data ecosystem.

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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

Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future. January 18th, 2023 at 9:30am PST, 12:30pm EST, 5:30pm GMT

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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The Role of Artificial Intelligence in Pandemic Response: Lessons Learned From COVID-19

Recognizing the need to provide policymakers with accurate predictions of the spread of the coronavirus, DataRobot delivered an AI simulation of the spread of the coronavirus to the Department of Health and Human Services that soon became part of the ecosystem combating the pandemic. Modernization of U.S. health reporting standards.

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Building User-Centric and Responsible Generative AI Products

Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn

In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling Generative AI products.

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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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Marketing-Led COVID-19 Growth Strategies: 2022 and Beyond

In this eBook, you’ll discover what it takes to develop and drive a successful marketing-led growth strategy. Prepare your organization for automation with AI. You’ll learn the best growth strategies to: Get your sales and marketing teams aligned. Define and agree on “qualified leads”. Level up your marketing automation.