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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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How IBM Sees AI Changing the Game for Companies of All Sizes with IBM’s VP of Technology and Director of Startups

SaaStr

AI adoption has grown exponentially over the past year and it has likely doubled from its more than 2.5x 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. How to scale AI across your business.

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How to Accelerate Production Deployment and Embed Trustworthy AI into Commercial Solutions with IBM Embeddable AI Leader George Kreitler

SaaStr

At SaaStr’s AI Day, George Kreitler, Global IBM Embeddable AI Sales Leader, talks about the paradox of AI, three equations that relate to the world productivity and AI, a little math to help guide the next decade, top use cases, and the importance of responsible AI. Why does this matter in the world of AI?

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

User Pilot

AI is a big talking point, making waves in many different industries. One of the best ways of keeping up to date with the rapidly growing subject is by listening to AI podcasts. These podcasts can deliver you the latest developments and news in an audio format you can listen to while driving or walking a dog. TL;DR Podcast.ai

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Usage as the Moat in AI

Tom Tunguz

As generative AI captivates Startupland, startups will do what they have always done: integrate new technology to build transformative businesses. Incumbents have seized the moment with Microsoft, Adobe, & others integrating generative AI into their products quickest. What are these moats? That’s the moat.

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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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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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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.