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Title & Speakers Event
Dean Nelson – CEO; Founder @ Cato Digital; Infrastructure Masons , Kirk Offel – host

Today, Kirk Offel sits down with industry luminary Dean Nelson, founder of Infrastructure Masons, for an in-depth conversation that's all about the future of digital infrastructure, AI, and the power challenges shaping our industry. Whether you’re brand-new to the world of data centers or have decades of experience, this episode will open your eyes to the explosive growth we're witnessing right now—think doubling and tripling of capacity at speeds we've never seen before. Dean Nelson shares the inside story behind Infrastructure Masons, the creation of their groundbreaking industry report, and why building community and collaboration is more vital than ever. Follow Dean and iMasons: www.linkedin.com/in/deannelson/ [email protected] www.iMasons.org www.iMasons.org/publications socialaccord.org

AI/ML
Data Center Revolution
Cam Mura – Biomolecular Data Scientist , Philip Bourne – Founding Dean @ UVA School of Data Science

Here we explore how data science is revolutionizing our understanding of protein structures, with a special focus on the exciting developments in protein folding and evolution. We’re joined by two experts in the field: Philip Bourne, the founding dean of the UVA School of Data Science, and Cam Mura, a biomolecular data scientist. From new tools like DeepUrfold to the future of biomedical applications, Bourne and Mura provide a unique look into how cutting-edge technology is transforming the world of molecular biology.

AI/ML Data Science
UVA Data Points
Adel – host @ DataFramed , Dana Maor – Senior Partner @ McKinsey & Company

We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. The modern leader faces unprecedented challenges, from managing a multi-generational workforce to integrating AI into daily operations. How can leaders cultivate a human-centric approach that fosters trust and innovation? What role does vulnerability play in effective leadership, and how can it coexist with the need for bold decision-making? As professionals strive to lead with authenticity, what strategies can help leaders raise the tide for all boats? Dana Maor is the global co-head for the McKinsey People & Organizational Performance Practice and is a member of its Knowledge Council. As a senior partner, she works with leaders globally to transform their organizations and themselves and serves as co-dean of multiple McKinsey leadership programs. In the episode, Adel and Dana explore the complexities of modern leadership, the importance of human-centric leadership, balancing empathy with performance, navigating imposter syndrome, and the evolving role of leaders in the age of AI. Links Mentioned in the Show: The Journey to Leadership by Dana MaorMcKinsey & Company - Organizational Health IndexSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: How Data can Enable Effective Leadership with Dr. Constance Dierickx, The Decision DoctorRewatch sessions from RADAR: Forward Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

AI/ML
DataFramed

From experience working on digital transformations at Fortune 500 companies, Dean will break down how to rapidly start delivering value to internal customer teams for your organization. By focusing on adoption rate as a key metric, he will break down some of the major pitfalls and challenges that negatively impact new platform teams, especially those at large organizations.

This webinar will explore:

  • How to build trust within the organization as a new team
  • How to provide opportunities for a new platform team to grow into a mature team
  • How to demonstrate to leadership that the investment in a platform team is justified (ROI)
  • How to select projects that will ensure success in those areas
  • How to avoid selecting projects that will hinder the platform team's performance and ability to be successful

These are all designed to address the common points that Dean has seen cause platform initiatives to fail or stall.

After a 30-minute talk there’ll be a 15-minute Q&A, for which we encourage you to submit questions in advance. A webinar recording and related materials will be shared with all attendees after the event.

How to generate value quickly when starting a platform initiative

From experience working on digital transformations at Fortune 500 companies, Dean will break down how to rapidly start delivering value to internal customer teams for your organization. By focusing on adoption rate as a key metric, he will break down some of the major pitfalls and challenges that negatively impact new platform teams, especially those at large organizations.

This webinar will explore:

  • How to build trust within the organization as a new team
  • How to provide opportunities for a new platform team to grow into a mature team
  • How to demonstrate to leadership that the investment in a platform team is justified (ROI)
  • How to select projects that will ensure success in those areas
  • How to avoid selecting projects that will hinder the platform team's performance and ability to be successful

These are all designed to address the common points that Dean has seen cause platform initiatives to fail or stall.

After a 30-minute talk there’ll be a 15-minute Q&A, for which we encourage you to submit questions in advance. A webinar recording and related materials will be shared with all attendees after the event.

How to generate value quickly when starting a platform initiative

IMPORTANT: You can only register for this event on Eventbrite, here: https://May2024LNETM.eventbrite.co.uk/

Over the last 4 years we have seen a huge growth in industry collaborations in data, AI, cloud and architecture, as organisations come to terms with important new trends and develop shared best practices.

Join the London Enterprise Technology Meetup on Wednesday May 15th to hear the latest updates from industry leaders about how they are working together on cross-industry challenges and initiatives. The format will include a series of flash talks led by the experts, including:

  • EDM Council’s CDMC & ADACOli Bage (Head of Architecture, Data & Analytics at LSEG (London Stock Exchange Group) and Founder of CDMC (Cloud Data Management Capabilities))
  • OMG EKGF’s DPRODNatasa Varytimou (Enterprise Knowledge Graph Foundation)
  • W3C’s ODRL Market Data Profile Community GroupBen Whittam Smith (CEO of Deontic Data) and Georgia Dean (Product Manager for AI & Ontology at Deontic Data)
  • FinOS CCCLeroy Abikhui (Director of Cloud Risk & Regulatory at LSEG)
  • FinOS CALMAldwin Saugere (EMEA Head of Security Architecture at Morgan Stanley)

The industry experts will then join a panel discussion on how the large range of participating organisations are helping each other to create a coordinated answer to some of the most challenging problems in enterprise technology.

Sincere thanks to LSEG (London Stock Exchange Group) for hosting the LNETM and to all our annual sponsors for 2024.

IMPORTANT NOTES:

  1. You must register through Eventbrite in order to attend.
  2. Registration will close 48 hours before the event (on the night of Monday 13th May).
  3. Please bring photo ID to the event, as it may be required for entry. to the event, as it may be required for entry.
Collaborative Industry Landscape – an update from the CDMC

** Important RSVP here (Due to room capacity and building security, you must pre-register at the link for admission)

Description: Welcome to the AI meetup in New York City, in collaboration with Lenses, Imply. Join us for deep dive tech talks on AI, GenAI, LLMs, ML and Real-time Data Streaming and Processing, with food/drink, networking with speakers and fellow developers.

Agenda: - 5:30pm\~6:00pm: Checkin\, food and networking - 6:10pm\~8:00pm: Tech talks and Q&A - 8:00pm\~8:30pm: Open discussion\, Mixer and Closing.

Tech Talk: Simplifying Kafka and Troubleshooting data Speaker: Guillaume Ayme (Lenses.io) Abstract: In this session, we'll present with a real-life example of how we implemented a solution that allows developers to have complete control over their event-driven application (EDA), resulting in lightning-fast delivery of new streaming services and quick troubleshooting of any issues that arise. From fine-tuning data pipelines, troubleshooting data issues, offsetting topics, backing up to S3 and seeing your topics topology to harnessing the power of real-time data, developers and engineers will gain invaluable insights into how Lenses.io optimizes data workflows and enhances operational efficiency. This presentation will offer a rich tapestry of technical knowledge, hands-on demonstrations, and networking opportunities.

Tech Talk: Streaming data meets real-time analytics Speaker: Zeke Dean (Imply) Abstract: You’re generating events. Lots of events. You’re using data streaming to reliably move those events between applications. How do you use this streaming data to your best advantage, gaining insights and driving automated decision making? Imply is the database solution for real-time analytics from the creators of Apache Druid. With high-concurrency subsecond queries of data of any size, combining true stream ingestion with historical batch data, Imply enables fast queries with aggregations and roll-ups while maintaining access to granular data. In this tech talk, we’ll take a look at the uses of real-time analytics and how it can be used with streaming data.

Venue: Celonis, 1 World Trade Center 70th Floor, New York, NY 10006

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsor. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in New York or 350K+ worldwide.

Community on Slack/Discord

  • Event chat: chat and connect with speakers and attendees
  • Sharing blogs, events, job openings, projects collaborations
  • Join Slack/Discord (scroll down to the bottom) *
Real-time Data Streaming and Processing (NYC)

WHEN:

Wednesday, September 13, 2023, 1600 GMT

DESCRIPTION of TALK

To overcome challenges, stop comparing yourself to others

Summary - Being average has its advantages, especially when you use it to put the focus back into YOU.

Abstract - Over 11 years ago I became a paraplegic due to an accident on my acreage. Being in a wheelchair permanently it’s pretty hard to hide from my daily challenges but I quickly learned to embrace my new normal, not only excelling in my professional life, but also personally – even being able to compete in high level events like the Boston Chicago, and New York City Marathons and I've been lucky to have my story shared on TED gathering over 3.75 million views. While my challenges are highly visible, many of us are fighting very private challenges and with my accident as the core underpinning of my talk I focus on understanding my personal average and how to improve on it every day. After some introspection of what ‘average’ means for each of us, I discuss a few of the strategies I use and how they help me continually raise my performance, including stories on moving past bumps in the road, owning your calendar, and the impact that can be realized on the teams you are a part of. With an almost habitual focus on small improvements, your average can become your advantage. I'll dare you to attack your day, focusing on you and the skills you bring to the table. Its not a technical session - there are no demos, no code to review. And some of the discussion might be overly obvious - but that's the point. It might just launch you into a new gear - simply by putting the focus back on you. Come listen in and beat your average, take ownernship of your day, and strive to focus on what's next.

To overcome challenges, stop comparing yourself to others ~ Dean Furness
Mico Yuk – Co-Founder @ Data Storytelling Academy , Lewis Temares – former Dean @ University of Miami

Lewis Temares is a former Dean at the University of Miami, and though he's retired now, he still has a lot to say and a lot of knowledge to contribute. As one of the most beloved leaders I've ever met, he has managed large and very successful teams in IT. Not only was he my first mentor in the technical industry, but his influence and continual guidance have been instrumental in my career path. Given recent world events, I brought him on to discuss how techies can stand out at work during unusual circumstances like a pandemic, what advice he'd give to tech leaders, workers, and students, and how to deal with the obstacles that accompany being laid off or furloughed. Tune in to gain some real-world wisdom and practical steps you can take to ensure you are standing out even while working from home!

  [13:17]  - Key Quote: I mean, there's nothing comparable to this, but yes, we've seen other occurrences, we've seen economic depressions, we've seen a lot of things that have been negative and have negative effects on organizations, but nothing to this extent. –Lewis Temares [13:53]  - Lewis's perspective on where listeners should be focused right now [24:01]  - Advice Lewis would give to IT students For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/61

Enjoyed the Show?  Please leave us a review on iTunes. Free Data Storytelling Training Register before it sells out again! Our BI Data Storytelling Mastery Accelerator 3-Day Live Workshop new dates are finally available. Many BI teams are still struggling to deliver consistent, high-engaging analytics their users love. At the end of the workshop, you'll leave with a clear BI delivery action plan. Register today!

Analytics BI
Analytics on Fire
Jason Joven – host @ Chartmetric , Dominic Fike – musician

HighlightsSydney, Australia revels in dance beats and romantic pop songs in yesterday’s Shazam chartFlorida-born Dominic Fike uses contextual playlists to steadily grow his Spotify monthly listener count to 3.5MMissionGood morning, it’s Jason here at Chartmetric with your 3-minute Data Dump where we upload charts, artists and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Thursday April 4th 2019.Charts What’s going on down under? Checking yesterday’s Shazam daily charts for Sydney, Australia brings us a very pop-oriented selection with the “pop” genre tag coming up 20 times in the top 43 songs.Next most common tag was “Alternative” with seven appearances.Ava Max, Billie Eilish, Dean Lewis and Halsey all appeared the most on the chart, scoring two tracks each, while Dominic Fike’s “3 Nights” took the #1 spot which was released back in October of last year.Lukas Graham’s ballad “Love Someone” and Loud Luxury’s dance hit “Body (feat. Brando)” both tied for the longest time on the Sydney charts at 59 weeks, piquing Australians’ curiosity for over a year now.Taking the #2 spot was a dance remix of “Someone You Loved” by soulful crooner Lewis Capaldi, not to be confused with the Lukas Graham track.And LA-based Ava Max not only takes the #3 spot with “So Am I” but she also has the chart’s entry with the most Shazams globally with “Sweet but Psycho” in the #34 spot at 6.2M.Despite all the happy, pop-oriented English music, Latin boy band CNCO goes back and forth between Spanish and English in the smooth track “Pretend” at the #16 spot. You can check out our Latin boy band deep dive we did on them with a link in this episode’s notes.Artist HighlightLet’s dig a little deeper into Dominic Fike, who took Sydney’s #1 Shazam chart spot yesterday.If you divide his 3.5M Spotify monthly listeners by his only 29K followers, his listener to follower ratio is a monstrous 120. To put that in perspective, Drake’s ratio is 1.1 and Ariana Grande’s is just under 2, which might not be the most fair comparison since they are some of the world’s biggest artists and therefore have been overexposed in the playlist ecosystem, but it does help you realize how relatively unknown Fike is, and how much traction he does seem to be getting with those that are in the know.Fike is on 27 Spotify editorial playlists, including a lot of the Swedish platform’s mid-tier ones such as “Mood Booster” at 3.2M follows, “Good Vibes” at 2.2M and “Weekend Hangouts” at 1.3M. This seems to be a common way for emerging artists to plant their earworms into new listeners, via contextual playlists that cater towards what the listener is doing, versus what the music or artist is about. If you’re interested in learning more, check the show notes for our Medium article on it!His track “3 Nights” also made it onto several of Apple’s “Today’s Hits” playlists in the Anglo-centric countries such as the US/Canada/Australia/New Zealand, and have been for about three months each. It also however made it into India’s version as well, maybe looking for a regional crossover.With Shawn Mendes, Billie Eilish and Jacob Sartorius all notable followers on his Instagram profile, Dominic Fike looks like he’s got a bright future ahead of him, and his work cut out.OutroThat’s it for your Daily Data Dump for Thursday April 4th 2019. This is Jason from Chartmetric.If you want to check some of the data yourself, sign up for a free account at chartmetric.io/signupAnd article links and show notes are at: chartmetric.transistor.fm/episodes.Friday’s almost here! See you tomorrow.

How Music Charts
Alexander Dean – Co-founder @ Snowplow Analytics , Tobias Macey – host

Summary

Every business with a website needs some way to keep track of how much traffic they are getting, where it is coming from, and which actions are being taken. The default in most cases is Google Analytics, but this can be limiting when you wish to perform detailed analysis of the captured data. To address this problem, Alex Dean co-founded Snowplow Analytics to build an open source platform that gives you total control of your website traffic data. In this episode he explains how the project and company got started, how the platform is architected, and how you can start using it today to get a clearer view of how your customers are interacting with your web and mobile applications.

Preamble

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. With private networking, shared block storage, node balancers, and a 40Gbit network, all controlled by a brand new API you’ve got everything you need to run a bullet-proof data platform. Go to dataengineeringpodcast.com/linode to get a $20 credit and launch a new server in under a minute. You work hard to make sure that your data is reliable and accurate, but can you say the same about the deployment of your machine learning models? The Skafos platform from Metis Machine was built to give your data scientists the end-to-end support that they need throughout the machine learning lifecycle. Skafos maximizes interoperability with your existing tools and platforms, and offers real-time insights and the ability to be up and running with cloud-based production scale infrastructure instantaneously. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the mailing list, read the show notes, and get in touch. Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat This is your host Tobias Macey and today I’m interviewing Alexander Dean about Snowplow Analytics

Interview

Introductions How did you get involved in the area of data engineering and data management? What is Snowplow Analytics and what problem were you trying to solve when you started the company? What is unique about customer event data from an ingestion and processing perspective? Challenges with properly matching up data between sources Data collection is one of the more difficult aspects of an analytics pipeline because of the potential for inconsistency or incorrect information. How is the collection portion of the Snowplow stack designed and how do you validate the correctness of the data?

Cleanliness/accuracy

What kinds of metrics should be tracked in an ingestion pipeline and how do you monitor them to ensure that everything is operating properly? Can you describe the overall architecture of the ingest pipeline that Snowplow provides?

How has that architecture evolved from when you first started? What would you do differently if you were to start over today?

Ensuring appropriate use of enrichment sources What have been some of the biggest challenges encountered while building and evolving Snowplow? What are some of the most interesting uses of your platform that you are aware of?

Keep In Touch

Alex

@alexcrdean on Twitter LinkedIn

Snowplow

@snowplowdata on Twitter

Parting Question

From your perspective, what is the biggest gap in the tooling or technology for data management today?

Links

Snowplow

GitHub

Deloitte Consulting OpenX Hadoop AWS EMR (Elastic Map-Reduce) Business Intelligence Data Warehousing Google Analytics CRM (Customer Relationship Management) S3 GDPR (General Data Protection Regulation) Kinesis Kafka Google Cloud Pub-Sub JSON-Schema Iglu IAB Bots And Spiders List Heap Analytics

Podcast Interview

Redshift SnowflakeDB Snowplow Insights Googl

AI/ML Analytics API AWS Amazon EMR Kinesis BI Cloud Computing CRM Data Collection Data Engineering Data Management Data Science DWH ELK GCP GDPR/CCPA GitHub Google Analytics Hadoop JSON Kafka Pub/Sub Redshift S3 Snowplow
Data Engineering Podcast
Michael Helbling – host , Moe Kiss – host

Have you ever seen a one-man show in the theater? It's awesome. Unless it's terrible. The same can be said for one-person digital analytics teams. It can be awesome, in that you get to, literally, do EVERY aspect of analytics. It can be terrible because, well, you've got to do EVERYTHING, and it's easy for the fun stuff to get squeezed out of the day. On this episode, we head back Down Under for a chat with Moe Kiss, product (and digital) analyst at THE ICONIC. Whether you pronounce "data" as DAY-tuh or DAH-tuh, Moe's perspective will almost certainly motivate you find new ways to push yourself and your organization forward. People, places, things, sites, and doodads mentioned in this episode were many, and they include: R, Tableau, Snowplow, adjust, Datalicious, Moe's post on Analysis of Competing Hypotheses, Moe's post on getting started in digital analytics, Jeffalytics.com, RSiteCatalyst, The Millenial Whoop, Kabaddi, Michael Yates, ABC (the Australian Broadcasting Corporation), an Event Tracking Naming Strategy from Chris Le, Simo Ahava, Nico Miceli, and Towards Universal Event Analytics - Building an Event Grammar by Snowplow co-founder Alex Dean.

Analytics Snowplow Tableau
The Analytics Power Hour
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