Systems | Development | Analytics | API | Testing

Data-Centric AI with Continual and Snowflake

Data infrastructure is rapidly growing and evolving along with infrastructure for AI/ML, with the latter growing largely independent from the former. An emerging generation of AI/ML tooling emphasizes data-centric versus model-centric approaches to the ML development lifecycle. These tools recognize that data is the foundation for AI and seek to open opportunities for all data professionals to participate by eliminating the unnecessary complexity of traditional model-centric solutions.

Oops, We Did it Again. Appian Named a Customers' Choice in the Latest Gartner Peer Insights Report.

While the title to this post is clearly playful, when it comes to customer success it’s all business. Our rapid growth has always been a function of our customers’ happiness. Regardless if it’s a new release or a service engagement, our internal focus revolves around a few key themes.

AstraZeneca: Building a finance data hub

At AstraZeneca, supporting funcstions like Finance are intensely data-driven. Recently, the data and IT team completely overhauled their data architecture to better serve the needs of the Finance team, they decided to build a Finance data hub. In this video, key project stakeholders explain why and how they build the data hub for the finance team (using Talend and AWS), and they detail how it's integrated with other data hubs at astraZeneca.

How to set up Firebase Crashlytics for a Unity Android app

TL;DR: To add events monitoring with Crashlytics to a Unity Android app, you’ll first need to prepare a Firebase project, then add the Firebase plugin to Unity and configure Unity to work with Firebase. Finally, you also need to update your CI/CD pipeline to support the changes. Let’s see how to integrate Firebase Crashlytics into a Unity Android app to monitor and troubleshoot errors easily!

The next level of the CIAM journey towards digital transformation from Level 0/2

Anybody interested in providing products and services to consumers dreams of building a start-up. For any entrepreneur who aspires to create a market-leading product, this is the first step. In the post-covid pandemic era, you may easily start a digital business by simply creating a website. However, exposing all of your services and products on an internet platform has become a requirement. You will not be able to survive in the market if you do not do so.

Building Product Analytics At Petabyte Scale

Product analytics is the most critical and complex task for any product team. There are thousands of data points that have to be analyzed carefully while setting up the product analytics foundation and it enables product teams to use data to track, visualize, and analyze user engagement and behavior that can be used to improve and optimize a product experience. However, managing large data workloads can be very challenging as not all data that is collected can be directly used for analytics.

Interview with Katie King, CEO of AI in Business

For the newest instalment in our series of interviews asking leading technology specialists about their achievements in their field, we’ve welcomed Katie King, CEO of AI in Business, a firm that specializes in AI consultancy and training. With over 30 years of experience, Katie has advised many of the world's leading brands and business leaders, including Virgin, o2, Orange and Accenture.