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The Strategy Stack: Connecting Business, Product, and Technology Strategy

Roman Pichler

Instead, they provide a product portfolio, think of Microsoft Office/365 as an example. To ensure that the right technologies are applied, you’ll benefit from using a technology strategy. Let’s take Microsoft as an example again. As helpful as a product strategy is, it’s not enough.

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How to Use Generative AI and LLMs to Improve Search

TechEmpower - Product Management

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.

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Generative AI – The End of Empty Textboxes

TechEmpower - Product Management

On a different project, we’d just used a Large Language Model (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. For example, let’s consider Mark. It’s this collaboration between the user and the LLM that drives good results.

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Expert Spotlight: Wali Khan – Leading By Example

Arkenea

Wali Khan, a healthcare technology leader with over two decades of experience enabling business capabilities through the development of innovative software products and solutions talks about the role of AI in current and future projects, what it takes to be a successful CTO in the healthcare sector and more.

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Inside the AI Revolution in Digital Banking UX: Case Studies, Data, and Strategic Takeaways

UX Planet

A deep dive into how artificial intelligence is shaping the next generation of financial user experiences — through metrics, strategy, and real success stories Until recently, most banks and financial organizations treated artificial intelligence (AI) as tomorrow’s experiment. At the same time, a J.D. and China.

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Building What Customers Need: The Ultimate Recipe

The Product Coalition

In one such instance, recalls the product manager of the social media company, the internal users of his product came up to him and said they wanted to use machine learning for automating some part of manual activity. The product manager shared one of his favorite examples.

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Feature Engineering?—?Hypothesis-driven vs. ML-driven

Piyanka Jain

Hypothesis-driven vs. ML-driven I was talking to a CTO of a Fortune 100 bank this morning and we got talking about feature engineering in AI/ML models. For example, in the case of a supervised classification 0/1 problem, many use LASSO now to identify features of importance instead of using the correlation matrix (stat approach).