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Marketing and Sales in Uncertain Times: Strategies & Spending Impact (2024)

Enjoy reading this blog post written by our experts or partners. If you want to see what Databox can do for you, click here. No matter what size your business is or what market you operate in, there’s one thing every business will confirm – marketing and sales during a downturn can be extremely challenging. But that doesn’t mean you should turn off the tap on marketing and sales until things get better.

Skyward Shift Harnessing Gen AI to Elevate CX in the Aviation Industry

Imagine finding yourself in an airport, receiving a message from your travel app: “Due to severe weather conditions, your flight is delayed by 3 hours. We anticipate your gate opening within the next hour. Here’s a $30 voucher for refreshments while you wait.” While this scenario might seem like something out of a Hollywood movie, in reality, it could lead to tense confrontations and disruptions. That’s why clear communication and support before travel are crucial.

How to Transform Retail Business Intelligence with BI Dashboards

The retail industry is constantly evolving, and so is the way that businesses use BI tools. Retail business intelligence (BI) dashboards are now more important than ever, as they allow businesses to monitor their operations in a more comprehensive way. In this article, we explore the benefits of using BI dashboards in the retail industry, and discuss some of the ways in which they are transforming how it operates.

What is Streaming ETL?

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream. Depending on the source and purpose of the data, an event could be a single user visit to a website, a new post on a social media platform, or a data point from a temperature sensor.

Develop a Serverless TypeScript API on AWS ECS with Fargate

AWS Fargate is a serverless compute engine that allows you to run containers without managing servers. With Fargate, you no longer have to provision clusters of virtual machines to run ECS containers: this is all done for you. Fargate has an Amazon ECS construct that can host an API. In this take, we will build a Fargate service using the AWS CDK, put the API in a docker image, and then host it inside Amazon ECS. The API will be a pizza API and we'll store the data in a DynamoDB table.

Databricks vs. Snowflake: A Comparative Analysis

With the data management landscape continuously evolving, it has given rise to powerful platforms like Databricks and Snowflake, each offering distinct capabilities for organizations to manage and analyze their data efficiently. Our 5 key takeaways in the Databricks vs. Snowflake debate are: In this article, we will dive into a comprehensive comparison of Databricks and Snowflake and examine the data companies’ features, performance, scalability, and more.

Google Play Store Policy Changes 2024

Google regularly updates its developer policies to make sure Google Play is a safe and trustworthy platform for everyone. While this is unquestionably necessary and essential to protect users and their data, keeping up with the latest changes to ensure applications remain safe and compliant can feel a little overwhelming for developers.

How to build a Rails API with rate limiting

APIs are the bread and butter of the internet. The ability to interact with our applications programmatically enables interoperability and makes our lives as developers easier. Unfortunately, web applications are vulnerable to malicious actors that seek to misuse them or degrade their performance, which is why rate limiting is an important part of any API.

Improving Government Case Management with AI: 6 Use Cases

There are many ways AI can improve government case management processes. Examples include: AI capabilities often depend on a large language model (LLM), an advanced AI system that can understand, analyze, interpret, and generate human language. It uses deep learning techniques to predict and produce coherent text based on input prompts. A large language model trained on government agency data is capable of tasks like text extraction, translation, summarization, and conversational responses.