How to leverage artificial intelligence to enhance the value and impact of analyst relations. Analyst relations (AR) is a strategic function that aims to build and maintain positive relationships with industry analysts, influencers, and experts who provide insights, guidance, and recommendations to technology buyers and vendors.

Hey there! So, you’ve got a website and you’ve noticed it’s running slower than a snail on a lazy Sunday? Don’t worry, you’re not alone. Website speed is crucial – it affects everything from user experience to SEO rankings and even your sales. Whether you’re a non-technical business owner or a seasoned software engineer, this guide is here to help you turn your sluggish site into a lightning-fast machine.

OpenSearchis an open-source search and analytics engine derived from Elasticsearch. It was created by forking Elasticsearch and Kibana following concerns within the community about the direction of those projects, particularly regarding the licensing changes made by Elastic N.V.

In a previous blog post, we discussed the prevalence of bearer tokens (or access tokens) to restrict access to protected resources, the challenges the sheer nature of bearer tokens present, and available mitigations. To recap, presenting a bearer token is proof enough of an authorization grant to avail the service and access resources protected by the token. This poses many security risks such as using stolen or leaked tokens to gain unauthorized access.

Both business intelligence (BI) and data analytics help businesses make the most of their data through insights. While the two terms are related, they’re not the same and cannot be used interchangeably. The biggest difference is that business intelligence requires data analytics to generate results, but data analytics works well even independently of business data. Let’s do an in-depth comparison of the two and see if the business intelligence vs. data analytics debate is justified.

If you’re looking to integrate web services using Python, mastering REST APIs is crucial. This article delivers a clear, step-by-step guide to leveraging Python with REST API’s straightforward syntax and libraries to build and connect with RESTful services. From environment setup to security and beyond, expect practical advice that will elevate your Python with REST API projects seamlessly within the world of REST APIs.

APIs are bits of software that act as interpreters for two different programs. They’ll connect to each service via endpoints and relay messages back and forth, doing the work of software integration for you. But how does this actually look in the real world? Read on for some examples of APIs. Here's the key things to know about some of the examples of APIs in everyday life.

REST APIs are the basis of all interactions between different applications. Many companies and organizations today offer APIs to interact with their applications. REST APIs allow third-party application developers to perform operations such as transmitting or accessing data from one application to another. This is called a public API. This means that this API is intended for interaction with third-party apps.

The most apparent shift that the 21st century has witnessed is the perception of the health and wellness industry. In the not-so-distant past, staying fit and living a wellness-focused lifestyle often meant relying on those old workout tapes or fitness DVDs. Well, been there, done that! However, as we fast forward to today, look at how the wellness industry has changed! We've witnessed a digital transformation in a way that is sure to make an impact on the scope of wellness industry in future and beyond.

DORA’s 2023 State of DevOps report affirms that 84% of the surveyed organizations use at least one DevOps practice in their development workflows, and the most common integration for 80% of the companies was the CI/CD pipeline. Further, Gartner’s recent survey reported that industrial cloud platforms will emerge as a business necessity for around 50% of organizations by 2028.