talk-data.com talk-data.com

Filter by Source

Select conferences and events

People (27 results)

See all 27 →
Showing 6 results

Activities & events

Title & Speakers Event

Practicing functional programming inside a Fortune 100 enterprise can feel like flying the Starship Enterprise through asteroid fields of legacy code and bureaucracy. This talk shares hard-earned lessons from the Information Engineering team at JPMorganChase, which runs a production Scala codebase powering a novel metadata platform. We'll explore the political, cultural, and technical friction of pushing functional programming in a Java and Python dominated environment. We'll introduce the domain we work in, the techniques that have worked (and those that haven't), the compromises we've made, and why - despite it all - we still think it's worth it. If you've never tried to run cats-effect in a place where Spring Boot is king, add this talk to your battle log.

Java Python Scala
Scala Talks: Tour of error handling & Functional Programming at Huge Companies
Eva Dong – Lead of AI Monetization @ Google Cloud

AI is revolutionizing industries, but many organizations struggle to translate their AI investments into measurable business value. In this session, Eva Dong, Lead of AI Monetization at Google Cloud, will demystify AI monetization and provide a practical framework for unlocking value while optimizing costs.

AI/ML Cloud Computing GCP
Haven King – Cloud Architect @ Orkes

Managing complex workflows in autonomous systems poses significant challenges as they scale. This talk explores strategies for optimizing agent-based architectures, where multiple agents interact and adapt in dynamic environments. Key topics include: 1) Distributed decision-making and coordination; 2) Bottlenecks; 3) Adaptive workflow reconfiguration and resilience; and 4) Real-world applications.

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

Description: Welcome to GenAI meetup in New York City. Join us for deep dive tech talks on AI, GenAI, LLMs and ML, hands-on workshops, food/drink, networking with speakers and fellow developers.

Tech Talk: How to build an agentic workflow Speaker: Haven King (Cloud Architect, Orkes) Abstract: Managing complex workflows in autonomous systems poses significant challenges as they scale. This talk explores strategies for optimizing agent-based architectures, where multiple agents interact and adapt in dynamic environments. Key topics include: 1) Distributed decision-making and coordination; 2) Bottlenecks; 3) Adaptive workflow reconfiguration and resilience; and 4) Real-world applications.

Tech Talk: AI Monetization: A Practical Guide to Unlock Value and Profitability Speaker: Eva Dong (Google) Abstract: AI is revolutionizing industries, but many organizations struggle to translate their AI investments into measurable business value. In this session, Eva Dong, Lead of AI Monetization at Google Cloud, will demystify AI monetization and provide a practical framework for unlocking value while optimizing costs.

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 and 500K+ worldwide.

AI Meetup (March): GenAI, LLMs and Agent
Event How Music Charts 2019-10-16
Jason Joven – host @ Chartmetric

HighlightsPeloton’s recent IPO has us wondering about the most popular fitness playlists on Spotify and Deezer, so slap on some cross-trainers and fire up those Bluetooth earbuds.Mission   Good 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.We’re on the socials at “chartmetric” — that’s Chartmetric, one word and no “S.” Check us out on LinkedIn, Instagram, Twitter, and Facebook!DateThis is your Data Dump for Wednesday, Oct. 16, 2019.Music + Fitness: Shaping Up Spotify and Deezer’s Top Workout PlaylistsPeloton, the indoor fitness brand best associated with its high-energy, online-class guided cycling experiences, went public on Oct. 7th, but closed its first day 11% under its initial public offering price, according to CNN.Competitor SoulCycle pulled out of IPO-ing last year, and maybe it has something to do with the music issues Peloton is now facing: a $300M lawsuit from a group of music publishers.Whether they’re using IP legitimately or not, there’s a lot at stake when it comes to music’s intimate relationship to fitness, according to music/tech journalist Cherie Hu’s latest newsletter.And it’s definitely illustrated by Spotify’s most popular workout playlists, six of which are in the Top 100 in terms of Follower count:Beast Mode is the most popular context-based fitness playlist on the Swedish platform, and the 9th most followed overall at 6.5M Followers.Post Malone is currently getting the most unique monthly listeners from four playlist slots he’s currently sitting in, acquiring 891K MLs.Reggaeton king J Balvin and American DJ/producer Marshmello are in the #2 and #3 slots with 592K and 577K Beast Mode-specific MLs respectively.Almost 20% of the current list is tagged as EDM, and more than 30% if you include Brostep.More than half of the current list are American artists, with the second most-represented country being high-energy Dutch electronic artists like Armin van Buuren, Hardwell and R3HAB...but still comprising only 13% of the list.Spotify’s Motivation Mix at 4.4M Followers and the simply-titled Workout playlist at 3.3M are the next most popular fitness lists there, but an interesting juxtaposition may be Deezer’s most popular fitness playlist, Rock Workout.That’s right: the #1 list to work out to on the French streaming platform is based around the rock genre, which is very different from Spotify’s top workout mixes, which are usually hip-hop, pop or dance-based.Rock Workout has 342K fans and currently a 70-track count, compared to Beast Mode’s 200 track count.Up until mid-May this year, Beast Mode only held 50 tracks at once, and though the amount of slots open up in the playlist, they do a great job of keeping things fresh, with a 100% 28-day ratio, meaning that the entire list has changed in the past month.With Rock Workout, only 3% of the list has changed in the past month, even though it’s less than ¼ of Beast Mode’s track count, featuring artists such as Linkin Park, Nickelback and AC/DC.Other Deezer workout playlists like Rap & Sport and Motivation Hits at 324K fans each feature much of the same pop/hip-hop/EDM fare you may expect...but it just goes to show that not all sweat beads to the same drummer.Outro That’s it for your Daily Data Dump for Wednesday, Oct. 16, 2019. This is Jason from Chartmetric.Free accounts are available at chartmetric.com And article links and show notes are at: podcast.chartmetric.comIf you haven’t downloaded our semi-annual global industry report 6MO yet, you can find it all across our socials and in our show notes!Happy Wednesday, we’ll see you Friday! 

Data Streaming
Jason Joven – host @ Chartmetric

HighlightsNSync performs at Coachella w/ Ariana Grande and Michael Jackson’s legacy deals with Leaving Neverland...but does this affect their music data?MissionGood 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 Wednesday April 17th 2019.Legacy acts in the spotlightMost of the time, music data is all about the frontline releases, the next emerging artists and global superstars...but what about legacy acts?Loosely defined, legacy acts are any artists that have had a successful career and have since left their glory days, yet still hold sway over the general public.In this sense, late 90s/early 2000s American boy band NSYNC and the late Michael Jackson fit this definition.But sometimes, the work of such acts bubble up again for one reason or another, and sometimes they are good, and sometimes not so much.Exhibit 1: Just this past Sunday, reigning American pop queen Ariana Grande invited NSYNC on stage (minus Justin Timberlake) to perform a few of their hits as part of her headlining set. The various teasers leading up to the event have given way to performance reviews on all the music outlets, and while the effect is diluted on Ms. Grande’s red-hot career, how does this affect the former group that haven’t released original material since 2001?Legacy acts on streaming services are an odd juxtaposition of the old and the new, but for NSYNC, they are enjoying streaming metrics that would otherwise be great for an up and coming act.At 6.1M Spotify monthly listeners and 914K followers, this gives them listener to follower ratio of 6.7, putting them ahead of Charli XCX and even Billie Eilish. This actually makes a lot of sense for the group, because a high ratio is usually the result of a highly loyal but small following with little to no marketing reach…and a now-defunct yet hugely famous 2000s boy band pretty much fits that bill to a T.In terms of immediate effects observed, they’re pretty much nil: no major editorial playlists on either Spotify, Apple, Amazon or Deezer added NSYNC records, and while their Spotify daily follower count jumped roughly 50%, it was only an additional 600 or so followers from their norm.If anything, their Twitter daily followers jumped 10x after Sunday and their Instagram daily followers popped 15x their norm, which makes sense given the very Instagrammable nature of Coachella, but already there seems to be no long-term effects.Now while there was a fun, no strings attached nature to the one-time Coachella performance, Michael Jackson’s legacy has recently taken a turn for the not-so-flattering.At the beginning of March, HBO released a documentary called Finding Neverland directed by British filmmaker Dan Reed, which focuses on the testimonials of two now-grown men that were allegedly sexually abused as children by the former King of Pop.Both traditional and social media were not quiet about the exposé, but  nevertheless, Michael Jackson’s music data profile doesn’t seem to have really experienced much of any difference: his Spotify daily follower patterns show no real changes  since March and his monthly listener count slowed slightly from 22.3M at the beginning of the month to 21.5M currently. This metric is largely buoyed by Drake’s sampling of Jackson in the track “Don’t Matter to Me” on Drake’s juggernaut album Scorpion.After Finding Neverland’s release, Jackson’s YouTube daily channel subscribers only briefly fluctuated to twice his average then cut in half from his average before returning back to normal, and his Wikipedia page views peaked at 6x his daily norm until returning back his average of about 30K views a few weeks after.What may be most interesting is how radio airplay has reacted: among 300 of the most influential US radio stations, they collectively went from spinning Jackson’s music roughly 100-150 times a day during the holiday months of Nov/Dec last year, and now trickling down to just 10 spins a day as of early April.Due to the limited airtime stations have and the more localized connection they have to their listeners, this might create more accountability and the need to insulate themselves from angry listeners revolted by the documentary.All in all, some say that in the show business, “any publicity is good publicity”, but from a music data perspective, at least for these artists, maybe it should be “any publicity doesn’t affect our legacy much.”OutroThat’s it for your Daily Data Dump for Wednesday April 17th 2019. This is Jason from Chartmetric.Free accounts are at chartmetric.io/signupAnd article links and show notes are at a new website: podcast.chartmetric.com.Happy Wednesday, see you tomorrow! 

Marketing Data Streaming
Showing 6 results