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Technology Life Cycle Template

Leapfrogging

What is the Technology Life Cycle? The Technology Life Cycle Model tracks a technologys progression from its introduction to eventual decline. In an era where technology is constantly evolving, businesses must stay proactive in managing their technological assets.

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Hoshin Planning System Template for Business Strategy

Leapfrogging

What is Hoshin Planning System? Hoshin Planning System: A Practical Guide for Strategy Projects The Hoshin Planning System , also known as Hoshin Kanri , is a strategic planning methodology that aligns an organizations long-term vision with day-to-day operational execution. Engage employees at all levels in strategic execution.

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We need to shift from scalable efficiency to scalable learning.

Paul Hobcraft

We need to shift from scalable efficiency to scalable learning but how can we liberate creative energy, how can we achieve higher engagement? Learning from failures needs to be part of this. They are consciously advancing learning. Then we have to align technology with this ‘needing to be engaged’. Achieving engagement.

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Energy technology needs more rapid innovation cycles

Paul Hobcraft

I have been consuming the latest flagship report, released today, 10th September 2020, by the IEA called “ Energy Technology Perspectives 2020. To cover the whole energy system what we have been identified today in technology options will multiply, adapt, change, and build out different solutions as we continue to learn and advance.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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

The number of use cases/corner cases that the system is expected to handle essentially explodes. When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases.

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The Most Innovative Large Companies in Europe

Destination Innovation

Nokia: A pioneer in telecommunications, Nokia continues to innovate in 5G technology and beyond. France Airbus (France, Germany, Spain, UK) is a global leader in aeronautics and defence, investing heavily in new aircraft technology, sustainable aviation fuels, and autonomous flight technologies.

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How to Infuse AI into Experiential Learning Activities

Leapfrogging

In the realm of experiential learning, artificial intelligence (AI) serves as a powerful tool for enhancing the training experience. AI technology can analyze large amounts of data to personalize learning experiences, providing insights and feedback that help individuals grow and perform better.

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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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How to Achieve High-Accuracy Results When Using LLMs

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

In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.

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From Rigid To Resilient: Why Enterprises Need Modular Commerce Now

Speaker: Benjamin Woll, Tiffany Spizzo, and Jaime Santos Alcón

Learn how a composable approach helps modernize commerce stacks while maintaining control over critical systems. 💡 Seamless Integration: Enhance functionality and connect new technologies with ease. 💸 Drive Growth & Efficiency: How a flexible commerce stack enhances operations and customer experience.

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PM Development: How Product People Continue to Learn

Speaker: Greg Coticchia - CEO, Sopheon

With all the technological improvements relevant to product management, there is an increasing need to educate new product managers as well as upgrade the abilities of experienced professionals. Marc Andreessen famously said “Software is eating the world” and he was right!

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How to Transform Your Supply Chain: Digitization for Decision-Making

Speaker: Hannah Testani, CEO of Intelligent Audit

It’s common to run into data overload throughout this process, leading to disparate systems, information silos, and the inability to navigate external challenges. The future of the supply chain industry will take the emotion out of decision-making by leveraging innovative technology to transform raw data into actionable intelligence.

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How To Craft Your Perfect Retail Tech Stack

Speaker: Jason Cottrell and Brian Walker

Now, retail success depends on integrating a blend of diverse technologies to thrive. You'll learn to: Utilize tech enhancements for a flexible digital approach. Gradually upgrade your systems for continuous improvement. The era of all-in-one platforms is over. Integrate modular tools to meet your unique needs.

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2 Retail Sectors That Are Completely Changing the Game: FMCG & Q-Commerce

Speaker: Joe Heather, Deliverect GM (UK&I) & Noah Hayes, Deliverect GM (US&CA)

Fast-Moving Consumer Goods (FMCG) and Quick Commerce (Q-commerce) are two vibrant sectors that have undergone significant transformations with the advancements in digital technology. With growing internet penetration and the proliferation of smartphones, consumers' purchasing habits have unsurprisingly evolved.

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The Beauty and Brains of Actionable Data: How to Go From Concept to Reality

Speaker: Dr. Joe Perez, Senior Systems Analyst at NC Dept. of Health & Human Services, and Chief Technology Officer at SolonTek

Join Dr. Joe Perez, Senior Systems Analyst at NC DHHS, and Chief Technology Officer, SolonTek, to learn how you can capitalize on your ideas by blending internal with external while leveraging them into a cohesive strategy for both the short term and the long term. What value do you see in your data?