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Ken Elliott

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Ken Elliott

Chief Data & Analytics Officer

United StatesVerified Community Ambassador

Identified Expertise

Generative AI2
AI & Machine Learning2
Data & Analytics0
IoT0
Robotic Process Automation (RPA)0

Engagement Stats

14
Answers Written

3.2K
Profile Views

2
Upvotes Received

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My organization is able to track, access and audit our data at every stage of its lifecycle.

Data Management Real Time Data Movement Data Governance

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2.3k views1 Comment

Can you share some strategies for measuring the value and impact of AI initiatives in your organization?

AI & Machine Learning Generative AI

Ken ElliottChief Data & Analytics Officer in Travel and Hospitality6 months ago

A specific example from my experience would be increasing the auto acceptance rate for our matching algorithm. By increasing this rate by 1.2%, we could bring in $1.1 million in incremental revenue annually. We first tested ...read more

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204 views3 Comments

What are some of the key skills and competencies that data leaders need to effectively manage AI in their organizations?

AI & Machine Learning Generative AI

Ken ElliottChief Data & Analytics Officer in Travel and Hospitality6 months ago

Data leaders need a comprehensive understanding of regulatory policies and data governance. They should be able to differentiate between a lab environment and a production environment. In the lab, data is usually static, ...read more

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255 views4 Comments

How would you define “AI-ready” data? Is your D&A ecosystem ready for practical AI implementation? If not, what do you think is needed to get there?

AI & Machine Learning Generative AI

Ken ElliottChief Data & Analytics Officer in Travel and Hospitality6 months ago

AI readiness is a topic many organizations are grappling with. One emerging theme is using AI to define the readiness of data. While most organizations struggle with disparate data systems, the power of generative AI can ...read more

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241 views3 Comments

Have you found ways to take advantage of AI hype or areas where you needed to temper the hype with reality?

AI & Machine Learning Generative AI

Ken ElliottChief Data & Analytics Officer in Travel and Hospitality6 months ago

Last year, many leaders and their teams were excited about trying out various proof of concepts. However, there's now a shift towards more realistic and practical implementation. People are beginning to understand how to ...read more

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32 views3 Comments

Have there been any changes in AI-hype among your closest collaborators that have led you to re-evaluate AI-centered investments for data and analytics this year?

Generative AI AI & Machine Learning

Ken ElliottChief Data & Analytics Officer in Travel and Hospitality6 months ago

There's been a lot of focus on the technical aspects like prompt engineering versus fine tuning, but not enough on how to actually leverage AI to create value. The focus seems to be more on proving that we've used AI, rather ...read more

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38 views3 Comments

CIOs, What is your digital transformation priority for this year?

Applications & Platforms Cloud Contact Center & Telecom+5 more

Ken ElliottChief Data & Analytics Officer in Travel and Hospitalitya year ago

Data & Analytics

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4.7k views1 Upvote7 Comments

How does your organization prioritize data governance and data management practices in the context of AI implementation? Compared to other data and analytics projects, do you take additional steps to ensure data quality, integrity, and accessibility for AI projects?

AI & Machine Learning Data Governance Data Management+2 more

Ken ElliottChief Data & Analytics Officer in Travel and Hospitalitya year ago

Data governance and management are paramount for AI implementation. We prioritize them by:

Quality Assurance: Implement rigorous data quality checks to maintain high-quality datasets.

Data Catalog: Maintain ...read more

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239 views4 Comments

What is the first thing data leaders need to get right to avoid problems with self-serve analytics?

Data & Analytics People & Leadership Relationship Management+1 more

Ken ElliottChief Data & Analytics Officer in Travel and Hospitalitya year ago

I would start with transparency regarding the source of the data product being produced. Consider a Bronze, Silver, and Gold certification of all data products.

Where Bronze means the report or analysis was generated ...read more

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556 views9 Comments

How do you instill a culture among data scientists that encourages them to focus on operationalization? Do you have any advice for introducing or applying MLOps?

Data & Analytics Team & Organizational Design Operations Management

Ken ElliottChief Data & Analytics Officer in Travel and Hospitalitya year ago

It is all too common that data scientists will focus more on the science than the business application. For example, building a Customer Segmentation model can be highly valuable. But, without a clear understanding of the ...read more

133 views1 Comment

Which is more important for a successful digital transformation: people and process, or the technology itself?

People & Leadership Process Management Disruptive & Emerging Technologies+1 more

Ken ElliottChief Data & Analytics Officer in Travel and Hospitality3 years ago

I think your ability to pivot is a people problem. And I will talk about the academic model because that's the one where I'm living today. With COVID you couldn't be in person, you had to do something else. So ...read more

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9.4k views2 Upvotes19 Comments