Designing Enterprise Platforms

In this edition of the Early Adopter Research Podcast, Dan Woods speaks with Qlik's CEO Mike Capone. Woods and Capone discuss Qlik's acquisition of Podium and how it fits into Qlik's larger vision. The conversation also covers the following: 2:10 - How Qlik moved into visualizing the data supply chain 3:40 - Capone's vision of where Qlik is right now 7:50 - How data democratization can occur in the current data landscape 13:20 - Why companies benefit from using an enterprise designed product rather than just open source ones 18:30 - How companies can become sophisticated consumers of new AI and machine learning products 22:25 - How to set digital transformation goals 27:00 - The most harmful myths about AI right now

In this edition of the Early Adopter Research Podcast, Dan Woods speaks with Commvault's Patrick McGrath about their new Activate product. Commvault is a company focused on data management. Activate will help the platform extract insights from data to improve a company's ability to have high-quality data governance. The conversation covers the following topics: 1:30 - Commvault's rationale for creating Activate 6:30 - Why Activate allows Commvault's platform to provide new benefits to users 17:00 - How Commvault is providing a platform similar to the data lake 21:40 - Commvault's unique approach to finding insights in data 22:30 - What is driving Commvault's new partnerships with other vendors 26:10 - What will indicate that Activate is successful

In today's Early Adopter Podcast, Dan Woods speaks with Rob Bernshteyn of Coupa about all things AI and machine learning. Coupa is a company focused on helping companies learn how to better manage their spending and the Coupa platform utilizes AI and ML to make that happen. During the interview, Woods and Bernshteyn discuss the following: 3:15 - Coupa's mission to help companies spend smarter 10:40 - Why Coupa decided to build their platform the way they did 15:30 - The value to Coupa's platform of having real-time capabilities 19:20 - How Coupa applies AI and ML to their platform and why it's important 23:20 - How AI can automate operations and save companies money 26:30 - Where Coupa has prioritized applying AI 31:00 - Using the intelligence of the entire Coupa community to help customers 38:00 - What Bernshteyn would have done differently in his journey to AI

In today's episode of Early Adopter Research, Dan Woods speaks with Chetan Dube, CEO of IPSoft. The conversation covers AI adoption and productization and IPSoft's unique approach to these topics. 2:20 - What is the current landscape with productized and non-productized adoption of AI 4:45 - Why AI needs to become sentient 7:30 - The highest level of AI sentience 12:00 - What companies should focus on so they can be effective users of productized AI 19:00 - The different levels of AI productization 27:15 - IPSoft's product portfolio 34:30 - Whether are companies moving towards more automation overall

On this episode of the Early Adopter Podcast, Dan Woods speaks with Looker's CEO Frank Bien and Chief Product Officer Nick Caldwell about how the company's LookML language allows users to build deep and wide data models using all existing data. Many of the new paradigms for accessing data are also now being connected to Looker. Given this, the conversation covers where Looker has been, and where it is going. The discussion specifically delves into: 5:45 - How Looker is positioned to take advantage of the new focus on the data layer 8:00 - The three generations of BI 19:10 - How Looker's clients are responding to the ability to unlock value from new troves of data 25:00 - Looker's data model 30:15 - What Caldwell sees as exciting from a product perspective for the future 34:30 - The value of opening up data to more users for real-time analysis 40:10 - The future use cases where Looker can play a role

AlexanderJarasch, a German data scientist, explains how graph databases are improving outcomes in treatment of diabetes, a fascinating application of data science and graph technology.

Neo4j's head of product marketing, Jeff Morris, explains how a graph database needs a surrounding ecosystem to be able to serve the enterprise.

Alastair Green is leading Neo4J's efforts to create a standard for a Graph Query Language that would be similar to SQL which is used in relational databases. In this podcast, Alastair explains why GQL is important and how such a standard may emerge.

In this edition of the Early Adopter Research Podcast, Dan Woods spoke with Sushil Thomas, co-founder and CEO of Arcadia Data, while both were at Strata NYC. Woods has written about how Arcadia Data's platform is attempting to save the data lake (link: https://www.arcadiadata.com/blog/the-best-ways-to-get-value-from-data-lakes/; link: https://www.forbes.com/sites/danwoods/2018/08/02/the-path-to-repeatable-ai-success-why-data-fabrics-are-the-next-step/#4a8f1a17313f) by making it more actionable and useful for companies -- and not just a place to store all one's data. He and Thomas discussed Arcadia Data's new release of search-based BI and how that will allow analysts to bypass IT to get the IT data they need. Other topics covered in this episode include:

We're back with another edition of the Early Adopter Research Podcast. In this episode, Dan woods speaks with Ellen Friedman, a principal technologist and Ted Dunning, Chief Application Architect at MapR Technologies. Dunning and Friedman have recently completed books, and the conversation covers their insights on when it makes sense to create your own AI application and when it's preferable to use products offered by external vendors. The discussion also covers:

In this episode of the Early Adopter Research Podcast, Dan Woods sits down with Michael Mahoney, VP of Worldwide Solutions Engineering at Kinetica, to discuss the steps companies need to take to become data-powered organizations. Their conversation covers all aspects of the big data universe and touches on:

n the latest edition of the Early Adopter Research Podcast, Dan Woods speaks with Tendu Yogurtcu, CTO of Syncsort, during the Strata NYC Conference. Woods covered Syncsort's technology in a recent article for Forbes (https://www.forbes.com/sites/danwoods/2017/10/06/how-syncsort-is-bringing-all-of-the-data-back-to-the-future/#5bd923842f9d) in which he describes how the company is helping businesses manage their data supply chains. Today's conversation covers a gamut of topics related to leveraging data and putting it to use, including:

In this latest edition of the Early Adopter Research Podcast, Dan Woods speaks with Syncsort's CEO, Josh Rogers, about all things big data. Their conversation covers the changes to the big data landscape over the past decade, as well as how the questions companies ask of big data are evolving over time. It also includes:

In this edition of the Early Adopter Research podcast, Dan Woods speaks with Grant Ingersoll, contributor to Solr, cofounder and CTO of Lucidworks, and cofounder of the Mahout Machine Learning Open Source Project, to discuss the fairness of Google search. Recently, President Trump has grabbed headlines by asserting that Google’s search algorithm is unfair. While Trump’s claims, like many he makes, are likely based more in personal animus than detailed study of the issue, he does raise an interesting point about how much we all take the results of search algorithms for granted. That makes this conversation particularly compelling, as Woods and Ingersoll talk about search algorithms in general, how companies and sites manipulate them, and whether we can truly trust the results. Topics covered include:

MapR CEO John Schroeder explains the business value of the data fabric, an operational layer for data integration and delivery that brings together the functions of many different types of repositories.

Optic CEO Aidan Cuniffe explains his approach to transforming programming using a system that uses AI and ML to automate many tasks and apply coding patterns.