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The Importance of Data Storytelling in Shaping a Data Science Product

Artificial intelligence and machine learning are relentlessly revolutionizing marketplaces and ushering in radical, disruptive changes that threaten incumbent companies with obsolescence. To maintain a competitive edge and gain entry into new business segments, many companies are racing to build and deploy AI applications.

Top 10 Thought Leaders in AI/ML We're Following

One of the best ways to stay current in the fast-evolving field of artificial intelligence and machine learning is by following thought leaders, evangelists, and influencers in the industry. In this article, we’ve selected 10 of the most influential thought leaders (listed alphabetically) that are helping drive the field forward.

Escaping GKE gVisor sandboxing using metadata

GKE is a Google Cloud service that offers a managed Kubernetes cluster, the nodes of the clusters are running on Google Cloud VM instances, the control plane and network is fully managed by GKE. GKE offers a sandboxing feature (https://cloud.google.com/kubernetes-engine/docs/concepts/sandbox-pods ), based on gVisor (https://gvisor.dev/docs/ ) it protects the host kernel from untrusted code.

Qlik Analytics 2020 - Alerting, Augmented Analytics, Active Intelligence and More

2020 was quite a year of innovation for Qlik analytics. We delivered key new augmented analytics capabilities with big updates to Insight Advisor, we integrated intelligent alerts fully into Qlik Sense in less than a year, we continued to expand our visualization capabilities to make it easier to showcase your data in exciting and compelling ways, and we made it even easier to execute analytics in the cloud.

Amazon Kinesis vs. Kafka: A Detailed Comparison of Data Stream Services

The key differences between Amazon Kinesis and Kafka are: Introducing data streamers! These services validate and route messages from one application to another, managing workload and message queues effectively. The result? Users process messages through a centralized processor and handle large data streams more efficiently. Amazon Kinesis and Apache Kafka are two data stream services.

How ASEAN Retailers Can Become insight driven with a Hybrid Cloud data strategy

There has been an e-commerce explosion this year as consumers seek safety and convenience from the comfort of their own homes using digital tools to purchase everything from durable hard goods to fashion accessories to daily living consumables like food perishables, cleaning products and even school supplies.

Unlocking Value by Going All-in On The Data Cloud

Snowflake met with Mark Stange-Tregear, Vice President of Analytics for Rakuten Rewards, and Andrew Parry, Vice President of IT Application Development for Office Depot, at Data Cloud Summit 2020. The Data Cloud is unlocking new ways of delivering products and services to customers, managing supply chains, and collaborating globally. Rakuten Rewards and Office Depot are going “all- in” on the Snowflake Data Cloud to transform their businesses. Q. How does data affect your business?

Three Takeaways from Amazon CTO's Keynote at AWS Reinvent 2020

One of the highly anticipated events every year is the keynote from Dr. Werner Vogels at the annual AWS Reinvent conference. As CTO of Amazon, Dr. Vogels has considerable influence on product and engineering innovation that directly impacts hundreds of millions of users and developers. Here are three takeaways from Dr. Vogels’ keynote this year.

Considerations for Deploying a Multi-Cloud Architecture with Kong Gateway, Kuma Service Mesh and Aviatrix

Building a multi-region or multi-cloud environment for your applications requires a lot of attention. In a typical deployment, you would have an API gateway running close to the several application runtimes. You should enhance your deployment to support different regions in a given cloud, or in an even more distributed and hybrid scenario, multiple services running across other public clouds and on-premise environments.