Databricks’ 2023 State of Data + AI report highlights the importance of the modern data stack in leveraging AI.
If you think workflow orchestration sounds like tech jargon, check out this simple explanation and consider practical advice for how to apply it to your business processes. Let’s start with the basics: what is workflow orchestration? Put simply, workflow orchestration is the end-to-end management of people, digital workers, systems, and data in a process.
Nowadays, ‘Quality’ is becoming a crucial factor in software delivery, where continuous improvements are happening to improve the quality in order to keep the customers happy. However, how often have we seen risk based testing as part of a testing strategy or something that teams religiously do every sprint, during regression testing or any exploratory testing?
Flexible, affordable large-scale storage is the essential backbone for analytics and machine learning.
Artificial intelligence (AI) has reached a tipping point in the public consciousness. Much of this has been driven by technology developments related to large language models (LLMs) and the release of generative AI tools, including ChatGPT from OpenAI. However, for enterprises shaping forward-looking AI strategy, a critical part of the conversation that needs to be addressed is the issue of private AI vs. public AI.
Corporations are embracing their role as change agents in a world marked by environmental challenges and the demand for sustainable practices. Sustainable IT has emerged as a crucial enabler of environmental stewardship and responsible business practices.