article thumbnail

Using Generative AI to Drive Corporate Impact

TechEmpower Innovation

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.

article thumbnail

Innovation thinking in Ecosystem and Generative AI design.

Paul Hobcraft

Innovation is undergoing a radical change, in opening up to technology, collaborative thinking and the value of generative AI thinking. For me, ecosystem innovation and generative AI have arrived at that pivotal point to significantly influence future innovation design. Innovation needs reinventing.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Generative AI – The End of Empty Textboxes

TechEmpower Innovation

One of the main powers of LLMs lies in their ability to generate text that not only makes sense but is also engaging and personalized. They learn from millions of pages of text, understanding patterns, context, and even nuances that make the generated blurbs feel almost human.

article thumbnail

Integrating AI into Each Stage of the Innovation Process

Leapfrogging

Get instant innovation processes Get expert tools & guidance Lead projects with confidence Learn More AI in Ideation Artificial Intelligence (AI) is revolutionizing the ideation phase of the innovation process. By leveraging AI, you can enhance your creativity and generate novel ideas more efficiently.

article thumbnail

Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

Speaker: Yohan Lobo and Dennis Street

From automation to generative AI, learn how to optimize workflows, reclaim valuable time, and attract top-tier talent with cutting-edge technology. 🧠 The Role of Generative AI in Accounting: Discover how new technology can amplify staff effectiveness, support decision-making, and improve overall performance.

article thumbnail

Leveraging AI to Drive the Innovation Lifecycle

Leapfrogging

Key areas where AI can make a significant impact include: AI for Idea Generation : Using machine learning algorithms to analyze data and generate novel ideas ( ai for idea generation ). Explore our insights on ai-driven market research. Learn more about this in ai for concept testing.

article thumbnail

Accelerating Product Development with AI Tools

Leapfrogging

AI’s role in innovation management includes: Idea Generation : AI algorithms can analyze market trends and consumer behavior to suggest new product ideas. For more on this, visit our article on AI for idea generation. Learn more in our article on AI in design thinking.

article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

This pragmatic approach is generally applicable, and will provide significant value to developers who are aiming to improve accuracy and speed! Using this case study, he'll also take us through his systematic approach of iterative cycles of human feedback, engineering, and measuring performance.

article thumbnail

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.

article thumbnail

Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Stakeholder Engagement 👥 Learn strategies to secure buy-in from sales, marketing, and executives. Fostering Collaboration 🤝 Learn how to create an organizational culture that embraces AI, encouraging collaboration between AI experts, product teams, and other stakeholders.

article thumbnail

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.

article thumbnail

How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

He will also share how they treated prompts as version-controlled code, built robust tests for every component using those prompts, and created a CI/CD pipeline that ensured a high-confidence one-click production deployment.

article thumbnail

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.

article thumbnail

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.

article thumbnail

Embedded Analytics Insights for 2024

From data security to generative AI, read the report to learn what developers care about including: Why organizations choose to build or buy analytics How prepared organizations are in 2024 to use predictive analytics & generative AI Leading market factors driving embedded analytics decision-making