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 […]
AI and machine learning adoption continue to be hot topics in the world of technology. Recently, Dan Woods had the chance to speak with IPSoft’s Chetan Dube about AI adoption and productization and IPSoft’s unique approach to these topics. IPSoft’s portfolio represents an interesting way to productize AI with different frameworks that all work together. […]
At both Early Adopter Research and in his Forbes column, Early Adopter’s Dan Woods has covered the need for enterprises to create cybersecurity portfolios extensively. As with a financial portfolio, a well managed cybersecurity portfolio diversifies risk across a number of assets that align to an individual or company’s goals. But whether in finance or […]
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 […]
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 […]
In this episode of the Early Adopter Research Podcast, Dan Woods speaks with Alexander Jarasch, the head of the German Center for Diabetes Research, about the power of knowledge graphs and how they’re helping in the fight against diseases. The conversation covers the following topics: 1:40 – Why graphs seemed like an appealing technology to […]
In this episode of the Early Adopter Research Podcast, Dan Woods speaks with Neo4j’s Jeff Morris. Woods had participated in Neo4j’s graph tour and this conversation draws on that experience to discuss the power and potential of graph technology, and putting that technology into production. Their conversation covers: 2:40 – What is the checklist for […]
On this episode of the Early Adopter Research Podcast, Dan Woods speaks with Neo4j’s Alastair Green and Stefan Plantikow about creating a new standard graph query language (GQL). Woods has written about the rationale behind creating GQL before. The conversation touches on Green’s GQL Manifesto as well as: 2:20 – The need for a graph […]
We’ve now gone down the road with big data and data lakes and the rise of AI and machine learning powered techniques long enough that it’s appropriate to take a step back and ask a few basic questions about what we’re trying to do and how we’re trying to do it. What’s interesting to me, […]
Donald Trump raised the issue of the fairness of Google search. Citing a variety of specious sources, he asked, “Is the Google Search ranking algorithm biased in some way?” While I don’t think he really has much of a point, it is interesting to think about why search is the way it is, and does […]