Data Legends: Stories From The IT Trenches

Opportunities for growth are all around us, but it takes the ability to be open and an eager growth mindset to see them. In this episode, David Noblet,Co-Founder + Chief Architect at ChaosSearch, shares how he and his team find innovative ways to improve digital services for their clients by constantly taking inspiration from their daily lives. Join us as we discuss: Building a culture of passion Expanding at a sustainable rate Deploying infrastructure at scale

There is more data available than ever before, challenging organizations to change how they interact with their data so they can get the most out of it. Ahmed Munir, Lead SAP Functional Technology Architect Manager at Whirlpool Corporation, has 16 years of SAP leadership experience and joins us to share what he has learned about building great data teams, upcoming trends in data analytics to keep an eye on, and how data teams will evolve in the next 5-10 years. Join us as we discuss: The role of the hiring process in building great teams How to get the most from available data and acquire meaningful consumer insight How to assess emerging technologies to determine if it's right for your organization How organizations are utilizing location-based data analysis to drive business revenue The growing need for organizations to hire Chief Data Officers More information about Ahmed and today's topics: LinkedIn Profile: https://www.linkedin.com/in/ahmedmunir/ Company Website: https://www.whirlpoolcorp.com/

In part 2 of our conversation with Wes Gelpi, Director of Research & Development at SAS, we dive into the importance and differences between data lakes, warehouses and virtualization. Gelpi has an in-depth history of taking a challenging situation and running with it. From working in compensation, to overhauling HR systems, they have a knack for getting to the heart of an issue and working with a team to find the best solution. Hear about Wes' work at SAS and learn: Data management through lakes, warehouses and virtualization How data lakes and warehouses can work together Why data virtualization brings together lakes and warehouses for the end user More information about Wes and today's topics: LinkedIn: https://www.linkedin.com/in/wgelpi/ SAS: https://www.sas.com/en_us/home.html

Leading a team of data and analytics professionals isn't easy and it takes more than just understanding the goal in mind. It's about the journey and how the people on the journey collaborate. In a special 2 part episode, we have Wes Gelpi, Director of Research & Development at SAS on the show. Gelpi has an in-depth history of taking challenging situations and running with them. From working in compensation, to overhauling HR systems, they have a knack for getting to the heart of an issue and working with a team to find the best solution. In part 1, listen in as Wes talks through his day-to-day efforts at SAS and learn: The two ways to lead a team for the best return on creativity Why Kubernetes is an untapped potential for cloud application management What critical skills are needed for a team to effectively work together More information about Wes and today's topics: LinkedIn: https://www.linkedin.com/in/wgelpi/ SAS: https://www.sas.com/en_us/home.html

As regulations around data continue to shift and companies adapt, many have struggled to find success while also keeping up with new regulatory obligations. Uday Kamath is expertly navigating this field, leading the highly collaborative and productive data and analytics team at Smarsh as the Chief Analytics Officer. Uday has 20 years of experience in data and analytics, alongside extensive experience leading teams. His wide range of technical knowledge, includes Statistical Learning techniques, Machine Learning theory and practical implementation, Optimization techniques, Fraud Detection, Bioinformatics, and more. Hear about Uday's work as the CAO of Smarsh and get the answers to these questions: How to achieve success while managing regulatory obligations with data What it's like to manage expectations across departments and fostering a collaborative culture How current analytics trends that are driving added value for analytics professionals How to build a high-quality team with high growth, collaboration, and productivity More information about Uday and today's topics: LinkedIn: https://www.linkedin.com/in/udaykamath/ Smarsh: https://www.linkedin.com/company/smarsh/ Check out Uday's recently published books: Transformers for Machine Learning: A Deep Dive Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning Additional Resources Read & Watch: Data Lake Opportunities: Rethinking Data Analytics Optimization [VIDEO] Read: 10 DevOps Tools for Continuous Monitoring Read: Differentiate or Drown: Managing Modern-Day Data Read: Inside DataOps: 3 Ways DevOps Analytics Can Create Better Products

Armed with a Ph.D. from UC San Diego, our guest started off with internships at Google and Microsoft before gaining valuable experience as a VP and a highly sought-after consultant for startups and SMBs. Now he's one of the world's foremost experts on wrangling vast data sets and maximizing efficiency. Today Alex is focusing his expertise into keeping AWS bills under control. Don't miss our engaging conversation with Alex Rasmussen, Principal Cloud Economist at The Duckbill Group. Hear the Answers to these Questions: What it's like to work on large-scale data processing? How can we leverage new solutions to old problems? How to manage data costs through AWS cloud architecture? … and more on machine learning, AI, and what the future holds  More information about Alex and today's topics: LinkedIn Profile: https://www.linkedin.com/in/alexras/ Company Website: https://www.duckbillgroup.com/  Additional Resources Read: Optimize Your AWS Data Lake with Data Enrichment and Smart Pipelines Watch: Make Your Data Lake Deliver - AWSInsider Evaluate: AWS vs GCP: Top Cloud Services Logs to Watch and Why To make sure you never miss an episode of Data Legends: Stories from the IT Trenches, follow on Google, Apple Podcasts, Spotify, our website, or anywhere you get podcasts.

Whether it's for capability or speed, your legacy systems will need to be replaced at some point. But how you handle that transition will determine your overall success. If you're not careful, you might end up dealing with two separate systems. Listen to our conversation with Robert Cooke, CTO & Founder of 3Forge to learn his perspective on how to implement unified solutions in IT. Hear the Answers to these Questions: What are noteworthy data and analytics trends today? How do we balance the combined challenge of an increase in IT costs and a reduction in budget? Is it possible to create IT solutions that parallel the direction of the market?  More information about Robert and today's topics: LinkedIn Profile: https://www.linkedin.com/in/robert-cooke-a7835b69/#experience Company Website: https://3forge.com/products.html  Additional Resources: Read: The Rise of the Cloud Data Platform and Index-Driven Data Lake Watch: Why and How Log Analytics Makes Cloud Operations Smarter Read: The Multi-Model Database Dilemma To make sure you never miss an episode of Data Legends: Stories from the IT Trenches, follow on Google, Apple Podcasts, Spotify, our website, or anywhere you get podcasts.

How do you keep your data team focused and build something that people will derive value from? In this episode, we cover team engagement, how to evaluate tech, and the influence of consumer analytics on innovation. Listen to our conversation with Raheem Daya, Sr. Software Development Manager, Envision Engineering at Amazon Web Services: How to set a clear vision and keep your data team engaged How to decide what tech to invest in and build How consumer tech is democratizing data More information about Raheem and today's topics: LinkedIn Profile: https://www.linkedin.com/in/raheem-daya-a86a15/ Company Website: https://aws.amazon.com/ Recommended Reading:Teaming by Amy Edmondson: https://www.wiley.com/en-us/Teaming%3A+How+Organizations+Learn%2C+Innovate%2C+and+Compete+in+the+Knowledge+Economy-p-9780787970932 Rebel Talent by Francesca Gino: https://www.rebeltalents.org/ To make sure you never miss an episode of Data Legends: Stories from the IT Trenches, follow on Google, Apple Podcasts, Spotify, our website, or anywhere you get podcasts.

What are the top three mega trends for data leaders this year (and beyond)? In this episode, we tackle cloud data platforms, the five sub disciplines of observability, and real-time machine learning. Listen to our conversation with Kevin Petrie, Vice Presi dent of Research at Eckerson Group to learn:  Why a cloud data platform is a common destination with many routes Tools to standardize the different classes of observability The interrelationship between model observability and ML  More information about Kevin and today's topics: LinkedIn Profile: http://linkedin.com/in/kevinpetrietech/ Company Website: https://www.eckerson.com/  To make sure you never miss an episode of Data Legends: Stories from the IT Trenches, subscribe on Google, Apple Podcasts, Spotify, our website, or anywhere you get podcasts.

When providing the data to support Marketing, it's important to frame and validate its quality based on whether it meets "the six C's." Is the data clean, complete, correct, comprehensive, chosen well, and calculable? In our conversation with Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai, we discuss numerous questions many in the industry are asking today including: Why does the expectation for instant data hurt business stakeholders, such as marketers? Which tools help data pass the criteria of the above six C's? What are the now and near-future issues in data privacy?  More information about Christoper and today's topics: LinkedIn Profile: https://www.linkedin.com/in/cspenn/ Company Website: https://www.trustinsights.ai/  Additional Resources Cloud Data Retention & Analysis: Unlocking the Power of Your Data Enterprise Data Architecture: Time to Upgrade? 6 Data Cleansing Strategies For Your OrganizationNew Report Shares Best Practices for Modern Enterprise Data Management in Multi-Cloud World To make sure you never miss an episode of Data Legends: Stories from the IT Trenches, subscribe on Google, Apple Podcasts, Spotify, our website, or anywhere you get podcasts.

Historically, knowledge has been relatively siloed by language. But with advancements in AI, there are now more opportunities than ever to capture broader and deeper insights across the written and spoken word by breaking down language and distance barriers globally. Listen to our conversation with Amr Awadallah, Founder and CEO at ZIR AI and former technology exec at Cloudera, Google, and Yahoo: Why technology is worthless without a problem to solve What's essential for tech startups to focus on Specializing in learning in order to grow More information about Amr and today's topics: LinkedIn Profile: https://www.linkedin.com/in/awadallah/ Company Website: https://zir-ai.com/ To make sure you never miss an episode of Data Legends: Stories from the IT Trenches, subscribe on Apple Podcasts, Spotify, Google, our website, or anywhere you get podcasts.

When it comes to building new products, there's a fine line between which pieces of the puzzle should be owned by humans with deep domain knowledge, and which aspects can or should be automated through AI. How far can the boundary be pushed? We speak with Jeremy Foran, Chief Technology Officer at Purple Cow Internet, about his new role as CTO at a fast-growing internet service provider. Join us to hear: The biggest challenges as a new CTO & how to evaluate new technologies Philosophies around the data lake Computer science and troubleshooting in the era of AI Determining where to introduce automation   To make sure you never miss an episode of Data Legends: Stories from the IT Trenches podcast, subscribe on Apple Podcasts, Spotify, and our website. Listening on a desktop & can't see the links? Just search for Data Legends: Stories from the IT Trenches in your favorite podcast player.

If you're looking for real conversations with real technology leaders about practical solutions, you've come to the right place. In this introductory episode, the 3 hosts from ChaosSearch join us: - Thomas Hazel, Founder, and Chief Science and Technology Officer - Dave Armlin, VP Customer Success and Field CTO - Courtney Pallotta,VP Marketing They're here to kick off the informal, unfiltered, fun conversations to be had on the show. Join us as we discuss: The biggest challenges in the industry today Who the podcast is for The types of conversations featured on the show   To make sure you never miss an episode of Data Legends: Stories from the IT Trenches podcast, subscribe on Apple Podcasts, Spotify, and the website. Listening on a desktop & can't see the links? Just search for Data Legends: Stories from the IT Trenches in your favorite podcast player.