Promoting a culture that encourages questioning establish approaches, nurturing creativity, fostering objectivity through due diligence, fostering collaboration, adopting new frameworks , and promoting continuous learning ...read more

95 views1 Comment

I'm trying to have my data scientists focus on ways to spend less time cleaning data, but they always blame our business partners for poor data quality. Besides attacking data quality and blaming others, what are some good initiatives to evaluate that could empower my team to deliver faster / better insights?

Data & Analytics Database

Zaki EltDirector of Data Architecture @ Electronic Arts in Mediaa year ago

Part of the role of a data scientist is cleaning data, and if there’s a lot of time spent on cleaning then a system should have been developed that automated the data cleanup process.

That’s to say if the messy data ...read more

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344 views2 Upvotes7 Comments

Does your organization have a data architecture function, and if so, how do they add value?

Strategy & Architecture

Zaki EltDirector of Data Architecture @ Electronic Arts in Mediaa year ago

Yes we do have a data architecture team. The add value by doing the following activities:
1) They ensure to design the data flow and where data is stored and how they are accessed.
2) They oversee the data infrastructure ...read more

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560 views14 Upvotes2 Comments

What are the fundamental leadership capabilities that are needed for an era of exponential technology and AI innovation?

Disruptive & Emerging Technologies Culture & Values Mentoring & Coaching+3 more

Zaki EltDirector of Data Architecture @ Electronic Arts in Mediaa year ago

I think Alivin Toffler said it best: "The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn and relearn."

The most important attribute, then, is ...read more

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193.8k views172 Upvotes152 Comments

What data topic deserves more attention than it is getting in 2023?

Data & Analytics People & Leadership Strategy & Architecture+4 more

Zaki EltDirector of Data Architecture @ Electronic Arts in Mediaa year ago

Data privacy management
The potential economic value add of AI is $2.6 to $4.4 trillion annually according to a McKinsey study.
But current data protection techniques sacrifice data usability and speed for data privacy ...read more

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38 views3 Comments

What has been your experience in trying to create data assets in your organization? Are the efforts more focused on improving data quality for internal decisions or do you think data assets are also being monetized for creating new products/services?

Data & Analytics Database Data Center+1 more

Zaki EltDirector of Data Architecture @ Electronic Arts in Mediaa year ago

We are first trying to get our data lake and data warehouse environment stood up in an architecturally sound, reliable, and scalable manner for better reporting, analytics, and decision support. We also need improve data ...read more

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3.7k views1 Upvote6 Comments

How do you think AI will disrupt business across industries? Add to my list: 1. Content creation 2. Photos and video production 3. Basic coding and debugging 4. Strategic analysis to be highly complimented

Disruptive & Emerging Technologies Data & Analytics People & Leadership+1 more

Zaki EltDirector of Data Architecture @ Electronic Arts in Mediaa year ago

Almost too many to list. I believe original content — written, photos, and videos — are all but certain to become widely synthetic. Perhaps people will do some humanizing of the content but most of it will be artificially ...read more

Zaki Elt

Identified Expertise

Content Zaki is Following

Do you trust the data & reports from the big analysts?

Thinking about your organization as a whole, what would you say are its top business objectives for the next two years?

Which browser do you use at work?

Is your role at your organization expanding to include new responsibilities?

What is your favorite browser?

Is AI going to affect the number of jobs in your company in the next 12 months?

Do you have remote employees on your team?

Google has announced a new AI-powered dermatology tool for customers. Do you think this could addres key barriers in access to care for many consumers or is this an overreach by big tech? https://blog.google/technology/health/ai-dermatology-preview-io-2021/

Is your team entirely located in the same time zone?

Which social media platforms is best for increasing network

What performance measures or metrics do you use to determine the impact of data governance and data management activities (e.g., master data management, data cataloging, business glossary, data policies, data sharing, etc.)?

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?

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

How are you encouraging innovation in your organization, especially ideation?

Does your organization have a data architecture function, and if so, how do they add value?

What are the fundamental leadership capabilities that are needed for an era of exponential technology and AI innovation?

What data topic deserves more attention than it is getting in 2023?

What has been your experience in trying to create data assets in your organization? Are the efforts more focused on improving data quality for internal decisions or do you think data assets are also being monetized for creating new products/services?

How do you think AI will disrupt business across industries? Add to my list: 1. Content creation 2. Photos and video production 3. Basic coding and debugging 4. Strategic analysis to be highly complimented

Engagement Stats

Content Zaki is Following

Do you trust the data & reports from the big analysts?

Thinking about your organization as a whole, what would you say are its top business objectives for the next two years?

Which browser do you use at work?

Is your role at your organization expanding to include new responsibilities?

What is your favorite browser?

Is AI going to affect the number of jobs in your company in the next 12 months?

Do you have remote employees on your team?

Google has announced a new AI-powered dermatology tool for customers. Do you think this could addres key barriers in access to care for many consumers or is this an overreach by big tech? https://blog.google/technology/health/ai-dermatology-preview-io-2021/

Is your team entirely located in the same time zone?

Which social media platforms is best for increasing network

What performance measures or metrics do you use to determine the impact of data governance and data management activities (e.g., master data management, data cataloging, business glossary, data policies, data sharing, etc.)?

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?

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

How are you encouraging innovation in your organization, especially ideation?

Does your organization have a data architecture function, and if so, how do they add value?

What are the fundamental leadership capabilities that are needed for an era of exponential technology and AI innovation?

What data topic deserves more attention than it is getting in 2023?

What has been your experience in trying to create data assets in your organization? Are the efforts more focused on improving data quality for internal decisions or do you think data assets are also being monetized for creating new products/services?

How do you think AI will disrupt business across industries? Add to my list: 1. Content creation 2. Photos and video production 3. Basic coding and debugging 4. Strategic analysis to be highly complimented