Podcasts about analytics summit

Join Juan and Tim as they welcome special guest Rebecca O'Kill (CDAO of AXIS Capital) fresh from their panel at the Gartner Data & Analytics Summit 2025 in London. They'll have an Honest, No-BS discussion on making data catalog and governance work in the real world while sharing key themes and actionable insights from one of the year's most influential data conferences.

Join Juan and Tim as they welcome special guest Rebecca O'Kill (CDAO of AXIS Capital) fresh from their panel at the Gartner Data & Analytics Summit 2025 in London. They'll have an Honest, No-BS discussion on making data catalog and governance work in the real world while sharing key themes and actionable insights from one of the year's most influential data conferences.

How should organizations protect data in the AI era? At Gartner Data & Analytics Summit in Orlando, security and data governance are top of mind. I spoke with Murali Balakrishnan, Data Security Expert, and Ganesh Kirti (Hiring), CEO of TrustLogix, about the biggest security challenges organizations face today.We discussed data access governance, AI data protection strategies, and the guardrails needed for secure data movement across cloud and on-prem environments. Murli also shared insights on how data platform owners can collaborate effectively with security teams.#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow

At Gartner Data & Analytics Summit in Orlando, I spoke with Raj Bains, CEO of Prophecy on The Ravit Show, about why they're back at Gartner, the key data challenges they're solving, and how AI is playing a bigger role in modern data transformation. We also discussed their latest funding, real-world customer use cases, and what to expect from their panel discussion with Sanjeev Mohan on Wednesday: "The Impact of GenAI on Data Teams."#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow

Is Data Fabric the key to solving AI challenges?I had a great chat with my good friend Kaycee Lai, Founder of Promethium, at Gartner Data & Analytics Summit in Orlando about the biggest trends shaping Data & AI today.We talked about why Data Fabric is the hot topic at the conference, what analysts and enterprise leaders are saying, and how companies are using Promethium to tackle AI and data challenges. Kaycee also shared some real-world use cases and what's next for Promethium.A must-watch for anyone thinking about the future of AI-driven data management!#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow

Is your data truly GenAI-ready? I'm here at Day 1 of the Gartner Data & Analytics Summit in Orlando, and there's a lot of buzz around GenAI and data readiness!I just sat down with Ronen Schwartz, CEO of K2view on The Ravit Show, to dive into what it really means to get your data AI-ready. We discussed key insights from the conference, what Gartner analysts are saying, and how K2view is helping organizations move from exploration to execution. Ronen also shared why data integration tools are more critical than ever in the GenAI era.#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow

Is your data ready for GenAI-driven customer service? At Gartner Data & Analytics Summit in Orlando, I spoke with Iris Zarecki, Product Marketing Director at K2view, about how GenAI is transforming customer service and what it takes to make these projects successful.We discussed why customer service is one of the biggest use cases for GenAI, the critical role of data in ensuring AI delivers real value, and the key infrastructure requirements businesses need to move from pilot to production.#data #ai #gartnerorlando2025 #theravitshow

What's next for analytics? I'm here at Gartner Data & Analytics Summit in Orlando, diving into the future of analytics with industry leaders. I spoke with Ryan Dolley, VP of Product at GoodData on The Ravit Show, about the biggest trends shaping the next 1-2 years and how GoodData is staying ahead of the curve.We discussed their approach to open source, how it benefits users, and its role in the future of analytics. Ryan also shared insights on AI integration, self-service analytics, and balancing data democratization with governance and security.What are your thoughts?#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow

How are enterprises scaling AI and ML today? At Gartner Data & Analytics Summit, I had a great conversation with Thomas Been, CMO of Domino Data Lab on The Ravit Show, about the latest trends in enterprise AI and ML.We explored how Domino Data is helping organizations operationalize AI, real-world use cases from enterprises, and what's coming next in the next 3-6 months.With AI evolving so rapidly, it's great to see how companies are moving from experimentation to real impact. Lots of insights from this one!#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow

Why is Data Observability getting so much attention? Last week at Gartner Data & Analytics Summit in Orlando, I hosted Co-Founders of definity, Roy Daniel and Tom Bar-Yacov on The Ravit Show to discuss why data observability is a top priority for enterprises today. With Gartner's recent report highlighting capability gaps in the market, we explored what's missing, how full-stack data observability fills these gaps, and the biggest shifts enterprise data teams are seeing. They also shared insights on overlooked areas in data management and the real impact of better visibility and control over data pipelines.An important discussion for any team looking to strengthen data reliability—stay tuned for the full conversation!

Is data quality the real foundation for AI? At Gartner Data & Analytics Summit in Orlando, I had a great conversation with Gabriel Charvat (he/him) from Dun & Bradstreet on The Ravit Show, where we dug deep into the connection between data quality, data observability, and successful AI implementation.Gabriel shared how data quality is the foundation for everything they do with AI—because without trustworthy data, even the most advanced models fall short. We also talked about their use of Acceldata for data observability, ensuring reliability and visibility across their data pipelines.If your organization is thinking about implementing AI, start by asking: Can I trust my data?#data #ai #gartnerorlando2025 #theravitshow

What is an “AI Fabric,” and why does it matter? Excited to be covering Gartner Data & Analytics Summit as Press, exploring the latest in AI and analytics. I had a great discussion Christian Buckner, SVP of Analytics & IoT at Altair on The Ravit Show, about Altair RapidMiner and their vision for AI Fabric—what it means, the problems it solves, and how enterprises are already benefiting.Christian also shared real-world use cases and where people can learn more about AI Fabric in action.#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow

Join Juan and Tim as they welcome special guests Krystin Kim (VP of Data & Analytics at Post Holdings) and Mary Lou Pirrera (Senior Manager of Data Management and Governance at The Campbell's Company) fresh from their panel at the Gartner Data & Analytics Summit 2025. They'll have an Honest, No-BS discussion on making data catalog and governance work in the real world while sharing key themes and actionable insights from one of the year's most influential data conferences.

How good are humans at distinguishing between human-generated thoughts and AI-generated…thoughts? Could doing an extremely unscientific exploration of the question also generate some useful discussion? We decided to dig in and find out with a show recorded in front of a live audience at Marketing Analytics Summit in Phoenix! With Michael in the role of Peter Sagal, Julie, Tim, and Val went head-to-GPU by answering a range of analytics-oriented questions. Two co-hosts delivered their own answers, and one co-host delivered ChatGPT's, and the audience had to figure out which was which. Plus, a bit of audience Q&A, which included Michael channeling his inner Charlie Day! This episode also features the walk-on music that was written and performed live by Josh Silverbauer (no relation to Josh Crowhurst, the producer of this very podcast who also wrote and recorded the show's standard intro music; what is it about guys named Josh?!). For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the  show page.

We can't believe it's been 4 years since the start of Catalog & Cocktails! In this episode, Tim and Juan will reminisce on 4 years of the podcast, reflect on developments in the data world, and share takeaways from Gartner Data & Analytics Summit in London. We'll also close with tips for those looking to start their own podcast.

In this episode of The Ravit Show I interview Yael Ben Arie (Steinberger) at the Gartner Data & Analytics Summit. Yael is the CEO of OCTOPAI, the leader in enterprise Metadata Management & Data Lineage. Yael shares her insights on what she is hearing from data leaders at this year's event, and why she thinks Data Lineage can be easy for data teams struggling with data visibility, management, and compliance. Watch the video to hear her take-aways. #data #ai #gartnerorlando #octopai #theravitshow

Long-time listeners to this show know that its origin and inspiration was the lobby bar of analytics conferences—the place where analysts casually gather to unwind after a day of slides interspersed with between-session conversations initiated awkwardly and then ended abruptly when the next session begins. Of the many conferences where this occurs, Marketing Analytics Summit (née, eMetrics) is the one in which this show is most deeply rooted. And, we'll be recording an episode in front of a live audience with all of the North America-based co-hosts on Friday, June 7, 2024, in Phoenix, Arizona at the next one! To call that out, including announcing a promo code for any listeners interested in joining us for the event, Michael, Val, and Tim turned on the mics for a bonus episode with a little reminiscing about past experiences at the conference, including Val's mildly disturbing retention of dates and physical artifacts. Visit the show page for, well, not much more than you see here.

This latest podcast features Nancy Allen from the People and Workforce Analytics team here at LACE, discussing her recent attendance at the HR Analytics Summit. The conference gathered heads of people analytics and their teams, offering a platform for HR professionals to connect, share insights, and discuss common challenges. Listen now for a discussion showcasing the dynamic nature of HR analytics and the constant need for HR professionals to adapt and innovate in response to changing workforce trends and technologies.

It's fitting, given how this is Funnel Reboot's 150th episode, that we veer off of the standard format and dig into a niche within marketing that's becoming a de facto part of every marketing function and is dictating new skills that every marketer must learn. I'm talking about marketing analytics.  This episode is compiled from experts in the world of analytics. It was recorded on location at the Marketing Analytics Summit that was held in Las Vegas. It's coming  hot off the press from the June 2023 event. Full speaker list in the shownotes.

In Episode 28 of Season 3, of Driven by Data: The Podcast, Kyle Winterbottom joined by Jim Sterne, Board Chair Emeritus, Digital Analytics Association and Founder of Marketing Analytics Summit, where they discuss the rise of Generative AI and how organisations can leverage for success, which includes;How every person can have their own AI agent acting on their behalf How Generative AI has been 70 years in the making Why Generative AI will be as big as the birth of computers, the internet and the smart phone Why longtail content is now back Why Generative AI will completely change the world of SEO Why domain knowledge and branding will become the biggest commodity to success How Generative AI will completely change your business and marketing strategy Why AI won't take your job Why you should focus on training your entire organization to use the tool, and not focus on the people who can help you build them How companies will make Generative Ai a question machine, not an answer machineHow Generative AI will change the role of Data & Analytics teams Why the strength of your data is now genuinely what gives you competitive advantage How Generative AI will drive more focus to data stewardship, governance, management, etcWhy companies that offer data aggregation will see an increase in valuation Why everyone needs to learn how to use Generative AI Why Generative Ai is different than the Big Data and Data Science hypes of the past What Generative AI does to the role of Data Democratization and Data LiteracyWhy data literacy now becomes “business speak literacy” Why the data dictionary becomes incredibly important Why the biggest skill now becomes; how to ask a great questionsKnowing what to questions to ask or not ask Why the winners will be who can teach Generative AI to act like an analyst Why the level of playing field has been raised and what that means for raw talent

Who better to discuss an annual Gartner data summit than a former Gartner analyst himself? Host and former Garter analyst, Malcolm Hawker, sits down with Profisee's Director of Digital Marketing, Ben Bourgeois, to talk about his experiences and key takeaways after attending this year's Gartner Data & Analytics Summit. Other topics of discussion include:Demystifying the data fabricMalcolm's journey in releasing 20+ episodes of the CDO Matters podcastDefining data by its business value...and more!EPISODE LINKS & RESOURCES:Follow Malcolm Hawker on LinkedInFollow Ben Bourgeois on LinkedInRegister for an upcoming episode of CDO Matters LIVE

Colleagues Scott Hoyt and David Fieldhouse join the podcast to analyze the state of American consumers and household balance sheets. Then Mark, Cris and Marisa answer some listener questions.For the full transcript click hereTo learn more about Moody's Analytics Summit 2023 & register, click here.Follow Mark Zandi @MarkZandi, Cris deRitis @MiddleWayEcon, and Marisa DiNatale on LinkedIn for additional insight

The Q4 GDP Report has been released and Mark, Cris, and Marisa analyze the weirdness surrounding the data. Colleague, Gaurav Ganguly, joins the podcast to give a European perspective and Mark continues his domination in the statistics game.To learn more about Moody's Analytics Summit 2023 & register, click here.Follow Mark Zandi @MarkZandi, Cris deRitis @MiddleWayEcon, and Marisa DiNatale on LinkedIn for additional insight

Summary The most interesting and challenging bugs always happen in production, but recreating them is a constant challenge due to differences in the data that you are working with. Building your own scripts to replicate data from production is time consuming and error-prone. Tonic is a platform designed to solve the problem of having reliable, production-like data available for developing and testing your software, analytics, and machine learning projects. In this episode Adam Kamor explores the factors that make this such a complex problem to solve, the approach that he and his team have taken to turn it into a reliable product, and how you can start using it to replace your own collection of scripts. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Truly leveraging and benefiting from streaming data is hard - the data stack is costly, difficult to use and still has limitations. Materialize breaks down those barriers with a true cloud-native streaming database - not simply a database that connects to streaming systems. With a PostgreSQL-compatible interface, you can now work with real-time data using ANSI SQL including the ability to perform multi-way complex joins, which support stream-to-stream, stream-to-table, table-to-table, and more, all in standard SQL. Go to dataengineeringpodcast.com/materialize (https://www.dataengineeringpodcast.com/materialize) today and sign up for early access to get started. If you like what you see and want to help make it better, they're hiring (https://materialize.com/careers/) across all functions! Data and analytics leaders, 2023 is your year to sharpen your leadership skills, refine your strategies and lead with purpose. Join your peers at Gartner Data & Analytics Summit, March 20 – 22 in Orlando, FL for 3 days of expert guidance, peer networking and collaboration. Listeners can save $375 off standard rates with code GARTNERDA. Go to dataengineeringpodcast.com/gartnerda (https://www.dataengineeringpodcast.com/gartnerda) today to find out more. Your host is Tobias Macey and today I'm interviewing Adam Kamor about Tonic, a service for generating data sets that are safe for development, analytics, and machine learning Interview Introduction How did you get involved in the area of data management? Can you describe what Tonic is and the story behind it? What are the core problems that you are trying to solve? What are some of the ways that fake or obfuscated data is used in development and analytics workflows? challenges of reliably subsetting data impact of ORMs and bad habits developers get into with database modeling Can you describe how Tonic is implemented? What are the units of composition that you are building to allow for evolution and expansion of your product? How have the design and goals of the platform evolved since you started working on it? Can you describe some of the different workflows that customers build on top of your various tools What are the most interesting, innovative, or unexpected ways that you have seen Tonic used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Tonic? When is Tonic the wrong choice? What do you have planned for the future of Tonic? Contact Info LinkedIn (https://www.linkedin.com/in/adam-kamor-85720b48/) @AdamKamor (https://twitter.com/adamkamor) on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Tonic (https://www.tonic.ai/) Djinn (https://djinn.tonic.ai/?signup) Django (https://www.djangoproject.com/) Ruby on Rails (https://rubyonrails.org/) C# (https://learn.microsoft.com/en-us/dotnet/csharp/tour-of-csharp/) Entity Framework (https://learn.microsoft.com/en-us/dotnet/csharp/tour-of-csharp/) PostgreSQL (https://www.postgresql.org/) MySQL (https://www.mysql.com/) Oracle DB (https://www.oracle.com/database/) MongoDB (https://www.mongodb.com/) Parquet (https://parquet.apache.org/) Databricks (https://www.databricks.com/) Mockaroo (https://www.mockaroo.com/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

We welcome Jason Furman, Aetna Professor of the Practice of Economic Policy jointly at Harvard Kennedy School to discuss what could potentially be a catastrophic default of the national debt. We'll get into President Biden's economic policies, inflation, and recession over the next 12-18 months. Jason came to play with some humor, positivity, and a great stat.To learn more about Moody's Analytics Summit 2023 & register, click here. Follow Mark Zandi @MarkZandi, Cris deRitis @MiddleWayEcon, and Marisa DiNatale on LinkedIn for additional insight

Summary The modern data stack has made it more economical to use enterprise grade technologies to power analytics at organizations of every scale. Unfortunately it has also introduced new overhead to manage the full experience as a single workflow. At the Modern Data Company they created the DataOS platform as a means of driving your full analytics lifecycle through code, while providing automatic knowledge graphs and data discovery. In this episode Srujan Akula explains how the system is implemented and how you can start using it today with your existing data systems. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Truly leveraging and benefiting from streaming data is hard - the data stack is costly, difficult to use and still has limitations. Materialize breaks down those barriers with a true cloud-native streaming database - not simply a database that connects to streaming systems. With a PostgreSQL-compatible interface, you can now work with real-time data using ANSI SQL including the ability to perform multi-way complex joins, which support stream-to-stream, stream-to-table, table-to-table, and more, all in standard SQL. Go to dataengineeringpodcast.com/materialize (https://www.dataengineeringpodcast.com/materialize) today and sign up for early access to get started. If you like what you see and want to help make it better, they're hiring (https://materialize.com/careers/) across all functions! Struggling with broken pipelines? Stale dashboards? Missing data? If this resonates with you, you're not alone. Data engineers struggling with unreliable data need look no further than Monte Carlo, the leading end-to-end Data Observability Platform! Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines. Monte Carlo monitors and alerts for data issues across your data warehouses, data lakes, dbt models, Airflow jobs, and business intelligence tools, reducing time to detection and resolution from weeks to just minutes. Monte Carlo also gives you a holistic picture of data health with automatic, end-to-end lineage from ingestion to the BI layer directly out of the box. Start trusting your data with Monte Carlo today! Visit dataengineeringpodcast.com/montecarlo (http://www.dataengineeringpodcast.com/montecarlo) to learn more. Data and analytics leaders, 2023 is your year to sharpen your leadership skills, refine your strategies and lead with purpose. Join your peers at Gartner Data & Analytics Summit, March 20 – 22 in Orlando, FL for 3 days of expert guidance, peer networking and collaboration. Listeners can save $375 off standard rates with code GARTNERDA. Go to dataengineeringpodcast.com/gartnerda (https://www.dataengineeringpodcast.com/gartnerda) today to find out more. Your host is Tobias Macey and today I'm interviewing Srujan Akula about DataOS, a pre-integrated and managed data platform built by The Modern Data Company Interview Introduction How did you get involved in the area of data management? Can you describe what your mission at The Modern Data Company is and the story behind it? Your flagship (only?) product is a platform that you're calling DataOS. What is the scope and goal of that platform? Who is the target audience? On your site you refer to the idea of "data as software". What are the principles and ways of thinking that are encompassed by that concept? What are the platform capabilities that are required to make it possible? There are 11 "Key Features" listed on your site for the DataOS. What was your process for identifying the "must have" vs "nice to have" features for launching the platform? Can you describe the technical architecture that powers your DataOS product? What are the core principles that you are optimizing for in the design of your platform? How have the design and goals of the system changed or evolved since you started working on DataOS? Can you describe the workflow for the different practitioners and stakeholders working on an installation of DataOS? What are the interfaces and escape hatches that are available for integrating with and extending the operation of the DataOS? What are the features or capabilities that you are expressly choosing not to implement? (e.g. ML pipelines, data sharing, etc.) What are the design elements that you are focused on to make DataOS approachable and understandable by different members of an organization? What are the most interesting, innovative, or unexpected ways that you have seen DataOS used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on DataOS? When is DataOS the wrong choice? What do you have planned for the future of DataOS? Contact Info LinkedIn (https://www.linkedin.com/in/srujanakula/) @srujanakula (https://twitter.com/srujanakula) on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Modern Data Company (https://themoderndatacompany.com/) Alation (https://www.alation.com/) Airbyte (https://airbyte.com/) Podcast Episode (https://www.dataengineeringpodcast.com/airbyte-open-source-data-integration-episode-173/) Fivetran (https://www.fivetran.com/) Podcast Episode (https://www.dataengineeringpodcast.com/fivetran-data-replication-episode-93/) Airflow (https://airflow.apache.org/) Dremio (https://www.dremio.com/) Podcast Episode (https://www.dataengineeringpodcast.com/dremio-with-tomer-shiran-episode-58/) PrestoDB (https://prestodb.io/) GraphQL (https://graphql.org/) Cypher (https://neo4j.com/developer/cypher/) graph query language Gremlin (https://en.wikipedia.org/wiki/Gremlin_(query_language)) graph query language The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Mark, Cris, and Marisa are joined by David Wessel, senior fellow in economic studies at Brookings, to dissect the CPI report, and discuss Fed policy, prospects for recession, and the looming threat of a debt limit breach.Come join us at the Moody's Analytics Summit, March 5th-7th at the Phoenician in Scottsdale Arizona.To learn more & register, click here:  Moody's Analytics Summit 2023. Follow Mark Zandi @MarkZandi, Cris deRitis @MiddleWayEcon, and Marisa DiNatale on LinkedIn for additional insight

Summary Managing end-to-end data flows becomes complex and unwieldy as the scale of data and its variety of applications in an organization grows. Part of this complexity is due to the transformation and orchestration of data living in disparate systems. The team at Upsolver is taking aim at this problem with the latest iteration of their platform in the form of SQLake. In this episode Ori Rafael explains how they are automating the creation and scheduling of orchestration flows and their related transforations in a unified SQL interface. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data and analytics leaders, 2023 is your year to sharpen your leadership skills, refine your strategies and lead with purpose. Join your peers at Gartner Data & Analytics Summit, March 20 – 22 in Orlando, FL for 3 days of expert guidance, peer networking and collaboration. Listeners can save $375 off standard rates with code GARTNERDA. Go to dataengineeringpodcast.com/gartnerda (https://www.dataengineeringpodcast.com/gartnerda) today to find out more. Truly leveraging and benefiting from streaming data is hard - the data stack is costly, difficult to use and still has limitations. Materialize breaks down those barriers with a true cloud-native streaming database - not simply a database that connects to streaming systems. With a PostgreSQL-compatible interface, you can now work with real-time data using ANSI SQL including the ability to perform multi-way complex joins, which support stream-to-stream, stream-to-table, table-to-table, and more, all in standard SQL. Go to dataengineeringpodcast.com/materialize (https://www.dataengineeringpodcast.com/materialize) today and sign up for early access to get started. If you like what you see and want to help make it better, they're hiring (https://materialize.com/careers/) across all functions! Struggling with broken pipelines? Stale dashboards? Missing data? If this resonates with you, you're not alone. Data engineers struggling with unreliable data need look no further than Monte Carlo, the leading end-to-end Data Observability Platform! Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines. Monte Carlo monitors and alerts for data issues across your data warehouses, data lakes, dbt models, Airflow jobs, and business intelligence tools, reducing time to detection and resolution from weeks to just minutes. Monte Carlo also gives you a holistic picture of data health with automatic, end-to-end lineage from ingestion to the BI layer directly out of the box. Start trusting your data with Monte Carlo today! Visit dataengineeringpodcast.com/montecarlo (http://www.dataengineeringpodcast.com/montecarlo) to learn more. Your host is Tobias Macey and today I'm interviewing Ori Rafael about the SQLake feature for the Upsolver platform that automatically generates pipelines from your queries Interview Introduction How did you get involved in the area of data management? Can you describe what the SQLake product is and the story behind it? What is the core problem that you are trying to solve? What are some of the anti-patterns that you have seen teams adopt when designing and implementing DAGs in a tool such as Airlow? What are the benefits of merging the logic for transformation and orchestration into the same interface and dialect (SQL)? Can you describe the technical implementation of the SQLake feature? What does the workflow look like for designing and deploying pipelines in SQLake? What are the opportunities for using utilities such as dbt for managing logical complexity as the number of pipelines scales? SQL has traditionally been challenging to compose. How did that factor into your design process for how to structure the dialect extensions for job scheduling? What are some of the complexities that you have had to address in your orchestration system to be able to manage timeliness of operations as volume and complexity of the data scales? What are some of the edge cases that you have had to provide escape hatches for? What are the most interesting, innovative, or unexpected ways that you have seen SQLake used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on SQLake? When is SQLake the wrong choice? What do you have planned for the future of SQLake? Contact Info LinkedIn (https://www.linkedin.com/in/ori-rafael-91723344/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Upsolver (https://www.upsolver.com/) Podcast Episode (https://www.dataengineeringpodcast.com/upsolver-streaming-data-integration-episode-240/) SQLake (https://docs.upsolver.com/sqlake/) Airflow (https://airflow.apache.org/) Dagster (https://dagster.io/) Podcast Episode (https://www.dataengineeringpodcast.com/dagster-software-defined-assets-data-orchestration-episode-309/) Prefect (https://www.prefect.io/) Podcast Episode (https://www.dataengineeringpodcast.com/prefect-workflow-engine-episode-86/) Flyte (https://flyte.org/) Podcast Episode (https://www.dataengineeringpodcast.com/flyte-data-orchestration-machine-learning-episode-291/) GitHub Actions (https://github.com/features/actions) dbt (https://www.getdbt.com/) Podcast Episode (https://www.dataengineeringpodcast.com/dbt-data-analytics-episode-81/) PartiQL (https://partiql.org/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

CIOs know data and analytics initiatives can drive business value, but many struggle to seize the opportunity both can bring. In this episode of CIO Mind, we focus on the topics of decision making and societal change and how insights from data and analytics can aid CIOs in making better decisions inside the organization and out.

Ser um essencialista e equilibrar a rotina de trabalho é difícil pra car@l%h, mas a gente tenta. Na mesa 235: Nelio Xavier, Gustavo Esteves, André Lopes, Diego Cidade e Lucian Fialho.

We've always said that the genesis of this podcast was the lobby bar of analytics conferences across multiple continents, and this year's Marketing Analytics Summit in Las Vegas was a reminder of our roots on that front. All three co-hosts made the trip to Caesars Palace for the event. Moe presented on bringing a product mindset to analytics (by "presented on," we mean "workshopped content for a future podcast episode"), and the closing keynote was a recording of the show in front of a live (and thoughtful and engaged) audience. Give it a listen, and it will almost be like you were there! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

A look back into the evolution of the way we work today, where we're headed, the most recent Gallup survey, my personal story, a surprising announcement from an OEM, and the questions we need to be asking ourselves BEFORE we write that back to the office policy. https://finding-gravitas.captivate.fm/internalpodcast (Learn more about creating your own internal company podcast) https://finding-gravitas.captivate.fm/jans-short-video (Learn more about your host, Jan Griffiths in this short video) Episodes referenced in this episode https://findinggravitas.com/episode/meet-stephen-m-r-covey (Stephen M.R. Covey - Trust & Inspire) https://findinggravitas.com/episode/meet-jason-stocker-president-cu-americas (Jason Stocker - Volition) Articles and data sources https://www.witinc.com/great-lakes-data-summit (Great Lakes Data & Analytics Summit) https://www.zippia.com/advice/gig-economy-statistics/#:~:text=According%20to%20our%20extensive%20research,online%20gig%20work%20in%202021. (23 Essential Gig Economy Statistics [2022]: Definitions, Facts, And Trends On Gig Work – Zippia) https://www.cultureamp.com/blog/40-hour-work-week (40-hour work week: The history and evolution | Culture Amp) https://media.mitsubishicars.com/en-US/releases/mitsubishi-motors-north-america-work-from-home-policy (Mitsubishi Motors Announces Industry-Leading New Work-From-Home Policy) https://www.kornferry.com/insights/this-week-in-leadership/please-come-back-to-the-office?utm_campaign=04-14-22-twil&utm_source=marketo&utm_medium=email&mkt_tok=NDk0LVZVQy00ODIAAAGDx0kyzAkwrmdIIyv5WC5IdkzpQoctDWSbbZE6g2x3_vay18sPeAy0ZEC0KdvOlsA4zQINFUblc055P2TfkFYhNkloUvNxeI1aZDB4z1OrF3-U5Wk (‘Please, Come Back to the Office') https://www.inc.com/brit-morse/hybrid-work-office-space-change-pandemic-return-employee-retention.html (Hybrid work) https://www.gallup.com/workplace/390632/future-hybrid-work-key-questions-answered-data.aspx?utm_source=workplace&utm_medium=email&utm_campaign=workplace_newsletter_mar_03222022&utm_term=newsletter&utm_content=latest_insights_textlink_1&elqTrackId=93470798e25943a98d972bd94b9936f9&elq=8dbae2ef5d50446ebc4ff8201f82160b&elqaid=8362&elqat=1&elqCampaignId=1802 (The Future of Hybrid Work: 5 Key Questions Answered With Data) Ready to take action on authentic leadership in your company? https://finding-gravitas.captivate.fm/21traits-e-book (Download the 21 traits of authentic leadership e book) Visit us at https://www.gravitasdetroit.com/ (Gravitas Detroit) for more tools.

Changes in how organizations mature their data and analytics strategies will define how organizations accomplish their future directions. Host Whit Andrews met with three Predicts authors at the Data and Analytics Virtual Summit to discuss data and analytics predictions.Erick Brethenoux specializes in machine learning, artificial intelligence and applied cognitive computing. He guides organizations on the strategic, organizational and technology aspects of using advanced analytics as a driving force of their growth. Mark Beyer covers broad data architecture solutions including data management and its intersection with use cases and data governance issues. His recent areas of client issues and research include adapting best practices for data management to remove false distinctions between cloud, on-premises and hybrid fallacies. Frank Buytendijk is a Distinguished VP and Gartner Fellow in Gartner's Data and Analytics Group. His work often takes a futurist approach, researching the edges of what he covers. Buytendijk pioneers the topics of the future, digital ethics and digital society, helping organizations do the “right thing” with technology.

Welkom allemaal bij een nieuwe aflevering van onze podcast met de missie om de online automotive beter te maken. Vandaag gaan we solo. Oftewel, we hebben geen gast vandaag want we hebben wel wat andere zaken te melden die we graag met jullie willen delen over wat er deze week gaat gebeuren bij de Automotive, Attribution and Analytics Summit.  Welke ik ga organiseren met Brian Pasch. Brian, zoals velen van jullie weten is een vriend van mij geworden de afgelopen jaren.  Samen hebben we al een aantal presentaties en workshops mogen organiseren hier in Nederland en in Amerika met de missie om daadwerkelijk die online automotive beter te kunnen maken. Automotive, Attribution and Analytics Summit. 16, 17 en 18 november organiseren wij een summit. Dat is dit jaar een online summit want helaas kunnen wij vanwege Covid-19 niet naar The Breakers Hotel in Florida.  Maar op deze dagen gaan wij dus een online event organiseren met meer dan 130 sprekers. We hebben heel veel Amerikaanse content maar ook Nederlandse, Belgische, Franstalige, Mexicaanse en Italiaanse content. Deze content is voor iedereen die zich aanmeldt beschikbaar. Deze dagen kun je dus enorm veel content volgen via video. Denk hierbij aan content over Facebook maar ook van Google en automotiveportalen uit Amerika zo spreekt bijvoorbeeld de CEO van Cars.com en Autotrade.com. Zij laten deze dagen de beste content zien om dealers en autobedrijven in Amerika te helpen om beter om te gaan met bijvoorbeeld hun portalen en digital retailing.  Leren van elkaar Digital retailing is het online verkopen van auto’s. Nu ben ik van mening dat we daar in Nederland wel in voorop lopen maar toch zijn er een aantal van dat soort bedrijven en ontwikkelaars die ontzettend mooie producten maken die het mogelijk maken om online een auto te verkopen.  Nou heb je daar nog wel met wat dingen te maken. Zo zijn er in the USA veel staten die bij een aankoop toch wel die natte handtekening willen. Maar aan de andere kant kun je, bij het volgen van die workshops, toch wel een idee vormen voor wat je zelf in Nederland aan je eigen website zou kunnen aanpassen. Een van die dingen is bijvoorbeeld het inruilmoduleverhaal. Oftewel, de call to action “wat is mijn auto waard?” Dit is een zeer populaire call to action in Nederland. Waarbij we nu zelf zeggen van: wilt u de waarde van uw auto weten, vul dan dit formulier in. Terwijl dit ook in realtime zou moeten kunnen. Kun je niet realtime in contact komen met je klant? Kom erachter  tijdens het volgen van de verschillende workshops van onze online summit!17 en 18 november de Nederlandse dagenOp 17 en 18 november gaan wij Nederlandse dagen organiseren met daarin veel workshops van Nederlandse en Belgische sprekers. Zij maken deze dagen de vertaalslag naar onze eigen markten. De workshops gedurende deze dagen worden gegeven in het Nederlands en het Frans. Er zullen in totaal zo’n 25 workshop worden gegeven. Van workshops over een betere leadopvolging met Marktplaats leads tot een lunchsessie over de toekomst van automotive Nederland gehost door Alexander Prinssen.  Voor zover deze podcast. Ik hoop jullie zometeen live te zien in ons event. Want na elke workshop gaan we ook live in gesprek met onze deelnemers en onze gasten. Dit doen we met dezelfde missie. Om elkaar te helpen de online automotive beter te maken. Dankjewel! Deze Podcast wordt mede mogelijk gemaakt door: Marktplaats, 2dehands.be, UCC, Calldrip en Findio Marktplaats is met ruim 7.3 miljoen unieke bezoekers per maand al jaren een van de populairste sites van Nederland. Per dag worden rond 350.000 nieuwe advertenties op de site geplaatst. Particuliere en zakelijke aanbieders zorgen voor een groot en gevarieerd tweedehands en nieuw aanbod. Marktplaats is de plaats met de hoogste kans om een betrouwbare tweedehandse auto succesvol te (ver)kopen tegen een goede prijs. Waarom kiezen voor Calldrip? Calldrip is een succesvol leadopvolgings systeem dat zijn oorsprong heeft in de Verenigde Staten en dankzij #DCDW nu ook in Nederland en België beschikbaar is. Het systeem is vooral geschikt voor importeurs en grote dealerholdings die ervoor kiezen de leadopvolging bij de verkopers te leggen. Calldrip is de ideale tool om verkopers te ondersteunen bij leadopvolging en tot maximale conversie te komen. Waarom kiezen voor UCC? UCC: Steeds meer collega’s gebruiken Used Car Controller. Taxeren, calculeren, publiceren of auto’s verhandelen met je persoonlijke handelsplatform? Met 1 abonnement geeft Used Car Controller je controle over alle kritische gebruikte auto processen. Zo maakt Used Car Controller je tot de beste in je vak! Waarom samenwerken met Findio voor auto? Als u kiest voor Findio voor auto, kiest u voor een partner voor de lange termijn. Wij verzekeren u van:online retailoplossingen – ruime kennis en ervaring op het gebied van automotive – al uw krediet onder één dak – Ondersteuning van uw verkopers – Remarketing tools – digitale oplossingen voor dealermanagementsystemen van Autodata, VWE Automotive, Used Car Controller of Autosoft om uw auto’s gemakkelijk te adverteren en te beheren op meerdere autoverkoopsites. Waarom kiezen voor Spincar? Auto kopen anno 2020? Naast gemak, betrouwbaarheid kijkt een consument ook naar presentatie. De kleding- en electronicabranche doet dit al jaren door 360º beeld te gebruiken bij presentaties. En dat werkt. Mensen zijn op zoek naar volledigheid tot in detail. Als webshop profiteer je daar optimaal van. Daarom is 360º presentatie ook de manier om de aandacht voor consumenten te trekken die op zoek zijn naar een auto. Autobedrijven die werken met 360º beeld, -spins-, merken dat klanten het enorm waarderen en ontvangen beduidend meer leads. Consumenten krijgen zekerheid en bevestiging van de juiste prijs bij het bekijken van een spin. De zorg en aandacht voor een goede presentatie kenmerkt een serieuze aanbieder.

Welcome to the CLL Podcast Series where we talk with leading companies and startups disrupting the world with AI and ML. This is the first Episode of the Qure.ai Podcast Series. This week, we take a closer look at health tech startup Qure.ai, which went from using AI to make diagnostic imaging easier and more affordable to focusing on coronavirus testing globally. Qure.ai develops deep learning solutions that automatically read and interpret medical images like X-rays, CT scans, and MRIs. The company's product is an AI-based radiology diagnostic aid. The flagship applications focus on chest X-ray abnormality detection and brain CT analysis for emergency care. The Mumbai-based healthcare startup recently raised $16 million in funding, led by Sequoia India and supported by MassMutual Ventures in Southeast Asia. For the audience, the same investor also invested in technology backed companies such as Byju’s, Zomato, Gojek, CRED, and many more...Now, as the world battles a pandemic, Qure.ai is readying to do its bit to help curb the further spread of coronavirus. Qure.ai is also the winner of the AI Game changer award at the 6th NASSCOM Big Data & Analytics Summit 2018. Today we have with us one of the founding members of Qure.ai, Rohit Ghosh. Today’s Podcast will walk you through how Qure.ai is tapping deep tech. We’ll hear from Rohit the why, what, and how behind what a tech startup is building. We also get an overview of how Qure.ai disrupted the Healthcare products and dealt with the initial setbacks whilst launching their first flagship product qXR, Along with the first-hand experience from Rohit about the recent funding secured. And to top it all off we will touch upon many ups and downs qure.ai faced on the journey of being recognized as the most accurate algorithm for detecting Tuberculosis on Chest X-rays. Let’s dive deep into the Origins of Qure.ai --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

This episode is brought to you by Oracle.For this sponsored Cloud Wars Live conversation, I talk with Bruno Aziza, Group Vice President, AI Data Analytics Cloud at Oracle. Bruno takes us through his conversations with customers. He asks a very simple question: What can we do to help customers innovate at scale?The Oracle Analytics Summit will kick off on May 12th. This is a free event and Oracle has designed the experience without a registration password, and without a paywall.Schneider Electric, FedEx, GE, Outfront Media are all part of the summit. Bruno says last year the Oracle Analytics Summit had three keynote speakers – and this time Oracle has six.Finally, Bruno says, the Oracle Analytics Summit is not the beginning; it goes on forever until Oracle has really solved all the problems related to analytics. So, he says, customers should participate, engage, and provide his team with feedback. See acast.com/privacy for privacy and opt-out information.

I sat down with Adrien Schmidt, Co-Founder, and CEO at Aristotle, by Bouquet.ai, to talk about AI assistants for big data, product launches, hiring and the most impactful business books.Adrien is an entrepreneur, engineer, and global speaker. On a mission to voice-activate the world's databases, he Co-Founded Aristotle, by Bouquet.ai, with his business partner Marios Anapliotis. He has spoken at events such as Web Summit, P&G's Data and Analytics Summit and Conversational Interaction and is listed in Inc. Magazine as an "AI Entrepreneur to Watch".Before you go, please leave a ⭐⭐⭐⭐⭐⭐ review on Apple Podcast and share the podcast with your friends! Be sure to check out more insights on my LinkedIn page.Follow Adrien online:Learn more about Aristotle Check out Aristotle's TwitterFollow Adrien’s Twitter Connect with Adrien on LinkedInBooks Adrien recommends:Measure What Matters: How Google, Bono, and the Gates Foundation Rock the World with OKRs AmazonCrossing the Chasm, 3rd Edition: Marketing and Selling Disruptive Products to Mainstream Customers AmazonFind out more at https://sergey-ross-podcast.pinecast.co

In 2018, INFORMS launched a new advocacy initiative to raise awareness with decision makers in Washington on the application and impact of O.R. and analytics. This initiative includes an annual Government & Analytics Summit that invites policymakers from Capitol Hill, federal agencies and other policy stakeholders to learn about exciting and impactful ways in which these scientific and mathematical processes are being used to save lives, save money and solve problems in the public and private sectors. Joining me for this episode to discuss this year's Summit is Laura Albert, Assistant Dean for Graduate Affairs in the College of Engineering and Professor of Industrial & Systems Engineering at the University of Wisconsin-Madison, Vice President of Marketing, Communications and Outreach on the INFORMS Board of Directors, and the Chair of 2019 Summit. 

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

The Pacific Northwest BI & Analytics Summit is headlined by some of the industry’s brightest minds who generously and enthusiastically give their time and expertise to the Summit. A small, diverse group of vendors fill out the attendee list, taking advantage of the rare opportunity to mingle with these true industry experts and influencers in an intimate, relaxed setting.

Revolutions in big data analysis are shaping healthcare delivery worldwide—technologies that can analyze, classify, and manage patient data and outcomes. To foster collaboration and to shape the future of Medical Informatics and Health Data Analytics, the University of Illinois at Urbana-Champaign—in collaboration with healthcare providers, industry representatives, and academic researchers held a one-day summit. We caught up with several of the presenters after their talks to get their take on where the field is heading. Those interviewed include Michael Sutter, Chief Innovation Officer and Enterprise Clinical Solutions Architect at Carle Foundation Hospital; Justin Starren, Chief of the Division of Health and Biomedical Informatics at Northwestern University; Khan Siddiqui, co-founder and Chief Technology Officer with Higi; Rich Caruana, Principal Researcher at Microsoft; David Liebovitz, Associate Professor of Clinical Medicine at the University of Chicago; and Jay Duhig, Director of Patient Integration at AbbVie.

Think Big Analytics has been helping innovative companies Think Big with big data since 2010. They were acquired by Teradata in 2014 as the world’s first pure-play big data services firm. They're big thinkers about big data – harnessing its power, unlocking its potential, managing the complexities, mastering the possibilities and synchronizing myriad technologies so businesses can move from insight to action. Their passion is deep data science and advanced data engineering that’s focused on generating business value from big data. Jack McCush is the Principal Data Scientist at Think Big. In this role, he is often leading Data Science projects for organizations that are either leaders in the digital space or undergoing digital transformations. Much of the financial benefits of Data Science are realized by organization incorporating new and varied digital data and emerging technologies with their legacy data & analytics infrastructure. Jack will be speaking at the Marketing Metrics and Analytics Summit on Sept 26-27, 2017 in Chicago, IL! Jack has helped define, build, test and deploy solutions in the area of Search, NLP, Text Classification, Named Entity Recognition, Image Classification, Recommender Systems, Customer Segmentation and Uplift Modeling. These capabilities improve the productivity of almost any Data Science team, however, some of Jack’s biggest successes come when he has helped his clients automate the last mile of Data Science. Jack has helped his customer build model publishing and management frameworks and integrate them into the data science workflow. The days of waiting weeks or months for a model to be put into production is in the past. These frameworks also incorporate model performance monitoring and automated retraining to allow the Data Scientist to be at maximum productivity. Think Big Analytics provides enterprise customers with: Big data strategy - roadmaps that prioritize the possible to create more value, and much sooner than you would expect. Data engineering - solution design and delivery aligned to core business objectives. Data science - deeper questions and new approaches to solve existing problems and seize new opportunities. Managed services and training - management and optimization of big data systems to improve performance; plus training to increase organizational adoption Special Guest: Jack McCush.

People and smart machines, working together, outperform either on their own. We explore data on how smart machines can make up for human weaknesses and how humans can make up for smart machines weaknesses. Trust and personal intimacy are essential to enhancing human performance, but an effective IT action plan will require a new mindset. • Where can smart machines and humans counterbalance each others' weaknesses? • How will trust and intimacy impact IT and enterprise results? • What data supports these conclusions? Visit http://eod.gartner.com/event/bi13 to view more recorded sessions from Gartner's Business Intelligence & Analytics Summit, 2015.

In this closing Keynote, Gartner analysts will present a vision of digital leadership for the 21st century. You’ll gain a new perspective on the massively changing role of information, and its unparalleled impact on business, society, and the future of the IT profession. This keynote re-positions the role of analytics within a broader context of the Digital Economy, the Nexus of Forces, and the Internet of Things. Visit http://eod.gartner.com/event/bi13 to view more recorded sessions from Gartner's Business Intelligence & Analytics Summit, 2015.

The First 100 Days of the Analytic Leader — Building a Bimodal Strategy How you perform in the first 100 days in a role is critical to your success or failure as a business and analytics leader. We provide target outcomes, advice and supporting resources to help you maximize your success during this pivotal transition phase. • Review the Gartner First 100 Days road map which includes prepare, assess, plan, act and measure • Craft a bimodal strategy to guide your program • Get the organizational model right, then work on the technology. Visit http://eod.gartner.com/event/bi13 to view more recorded sessions from Gartner's Business Intelligence & Analytics Summit, 2015.

In the modern world, we are obsessed with "analysis". But there are many problems that cannot be solved with analysis. In strategy, in innovation and in business operations. Business professionals should update their toolkit and master all there is to know of "synthesis". Visit http://eod.gartner.com/event/bi13 to view more recorded sessions from Gartner's Business Intelligence & Analytics Summit, 2015.

Together with the students of the Amsterdam Movie Academy, Gartner created three movies that introduce three important dilemmas in business. Centralization vs. decentralisation, certainty vs. opportunity and sharing vs. protecting your information assets. In this movie, Alan argues with Debra to give their developing friendship a chance. There’s no need to put a tag on it, seeing how it goes, keeping their options open. Will Debra accept Alan’s plea? The movie, starring Gartner analysts Debra Logan, Alan Duncan, and Frank Buytendijk, was presented during the opening keynote at the Gartner Business Intelligence & Analytics Summit. The opening keynote can be viewed on Gartner Events on Demand at http://www.gartnereventsondemand.com/event/bi13 #GartnerBI

Together with the students of the Amsterdam Movie Academy, Gartner created three movies that introduce three important dilemmas in business. Centralization vs. decentralisation, certainty vs. opportunity and sharing vs. protecting your information assets. In this movie, Master Thomas puts Young Disciple Dan for an impossible choice. What would you do? The movie, starring Gartner analysts Thomas Oestreich and Dan Sommer, was presented during the opening keynote at the Gartner Business Intelligence & Analytics Summit. The keynote can be viewed on Gartner Events on Demand at http://www.gartnereventsondemand.com/event/bi13 #GartnerBI

Together with the students of the Amsterdam Movie Academy, Gartner created three movies that introduce three important dilemmas in business. Centralization vs. decentralisation, certainty vs. opportunity and sharing vs. protecting your information assets. Superhero Alan is put in front of an existential dilemma when he notices there are more superheroes around these days. The impertinence of their request! The movie, starring Gartner analysts Alan Duncan, Dan Sommer, Thomas Oestreich and Debra Logan, was presented during the opening keynote at the Gartner Business Intelligence & Analytics Summit. The opening keynote can be viewed on Gartner Events on Demand at http://www.gartnereventsondemand.com/event/bi13 #GartnerBI

Businesses can be separated into those who take analytics to the next level, and those who are stuck with management reporting; the analytical divide. Organizations that take analytics to the next level go beyond internal management reporting. They apply their analytics to being a digital business. They manage their information as a true asset. Where does that leave the people on the other side of the divide? With a huge opportunity! Digital business constitutes a level playing field for all other organizations as well. These new analytical areas provide the opportunity to get it right from the start. Without the legacy of the past. Visit http://eod.gartner.com/event/bi13 to view more recorded sessions from Gartner's Business Intelligence & Analytics Summit, 2015.

Delivering high-quality data is a mandate for all information-related initiatives. Whether the focus is master data or beyond, organizations must understand the full breadth of the discipline and overcome key barriers to get it right. Internalizing several principles about organizational, process and technology issues is critical to success. • Why is pressure to address data quality issues growing more intense? • What are the key principles that organizations need to grasp? • How can business and IT leaders finally make progress on the issue? Visit http://eod.gartner.com/event/bi13 to view more recorded sessions from Gartner's Business Intelligence & Analytics Summit, 2015.

The rise of data discovery and interactive visualization also increases the need for greater comprehension. A new style of analysis is emerging, helping users to do analytics via storyboards, analytics chains and guided exploration. This session explores this innovation and determines its significance. • Styles of guided analytics • Uses of guided analytics • Power of guided analytics. Visit http://eod.gartner.com/event/bi13 to view more recorded sessions from Gartner's Business Intelligence & Analytics Summit, 2015.

BI can have a big impact on revenues, customer service, and operating efficiencies, yet few companies are clear on the value BI provides or on how to increase BI’s impact. This session discusses the different analytic levels of maturity, the role of leading and lagging indicators, and how big data better allows tracking of leading indicators. BI initiatives often start with a bottom up approach on what data is available, but more impactful BI programs align BI to the goals of the business. · Differences between leading and lagging indicators · Examples of improved BI impact from leading companies · Aligning your BI efforts to goals of the business. Visit http://eod.gartner.com/event/bi13 to view more recorded sessions from Gartner's Business Intelligence & Analytics Summit, 2015.

This session, based on the recently released Gartner ebook of the same name, is based on the premise that IT executives are often in extreme situations, where normal management techniques simply will not work. IT is increasingly under pressure to help the enterprise create competitive advantage, while dealing with increasing risks and challenges. Such an environment can drive enterprises to the “dark side”. IT leaders will need to become Machiavellian Wolves in order to succeed and bring their enterprises back into the light. Visit http://eod.gartner.com/event/bi13 to view more recorded sessions from Gartner's Business Intelligence & Analytics Summit, 2015.

The excitement around advanced analytics is increasing, as evidenced by growing market figures and M&A activity. This session helps you navigate existing technologies, upcoming trends and user adoption. • What is the state of the market today? • What emerging trends and best practices are driving success? • Where is the cutting edge moving? Visit http://eod.gartner.com/event/bi13 to view more recorded sessions from Gartner's Business Intelligence & Analytics Summit, 2015.