The Future of AI in Sales: Embracing Generative Technologies
IT Toolbox
APRIL 14, 2023
Learn how Generative AI is transforming sales. The post The Future of AI in Sales: Embracing Generative Technologies appeared first on Spiceworks.
IT Toolbox
APRIL 14, 2023
Learn how Generative AI is transforming sales. The post The Future of AI in Sales: Embracing Generative Technologies appeared first on Spiceworks.
Forrester IT
JUNE 12, 2023
Now, with the acceleration wrought by generative AI as well as other emerging technologies, tech leaders must build long-term strategies to address the growing demands on the technology organization. Finding tech talent is increasingly hard.
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IT Toolbox
MARCH 30, 2023
The post Beamery Launches TalentGPT, the First Generative AI for HR Technology appeared first on Spiceworks. Beamery recently launched TalentGPT. Discover how it may transform talent acquisition and management experience.
CIO Business Intelligence
OCTOBER 26, 2023
You don’t have to look further than recent headlines to know generative AI has garnered outsized attention in 2023. The case for GenAI education as part of IT’s remit At first blush, training and educating users on how to use generative AI may seem outside the typical scope of IT, but GenAI is not a typical tech transformation.
Advertiser: GEP
The technological landscape is dynamic and changes quickly. And for procurement and supply chain leaders looking to harness the power of technology to navigate complex challenges and an uncertain business environment, keeping up with the latest trends can be its own obstacle.
Forrester IT
MARCH 21, 2024
As we outlined in previous research, Generative AI assistants known as TuringBots can serve as powerful tools to address some of the broader software development challenges. Specifically they help to automate a wide range of tasks throughout the software development life cycle (SDLC).
Forrester IT
NOVEMBER 14, 2023
To get it right, you need to master conversation design, a new discipline for creating experiences that are based on conversational AI, and you need to know where and when to use new technologies like generative AI. Creating an effective chatbot is hard.
Advertiser: Data Robot
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? The business and creative possibilities are practically limitless with generative AI.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Aarushi Kansal, AI leader, is here to explore ongoing testing and evaluation strategies tailored specifically for LLM-based applications. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Don't miss out on this opportunity to stay ahead of the AI curve! Save your seat today and be part of the tech conversation that's shaping the future.
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.
Advertiser: Data Robot
The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments.
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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There is a fundamental difference between 1st generation, 2nd generation, and modern-day Automatic Speech Recognition (ASR) solutions that use 100% deep learning technology. In this solution brief, you will learn: The differences between 1st generation, 2nd generation, and modern-day ASR solutions.
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