Systems | Development | Analytics | API | Testing

Since generative AI exploded onto the global market, organizations have flocked to adopt it. SAP is no exception–late last year, the ERP launched its embedded AI copilot, Joule. In addition, SAP has invested in other AI companies, hired a chief artificial intelligence officer, and added generative AI features to its products. In order to spur cloud adoption, many of SAP’s premium AI features will only be available to RISE with SAP and GROW with SAP customers.

In today’s rapidly evolving tech landscape, it's tempting for businesses to chase after the latest trends—Artificial Intelligence (AI) being the crown jewel of them all. However, unless you're an AI and data analytics provider, focusing solely on AI might be a misstep.

Gemini in BigQuery features are now generally available, including SQL and Python code generation and explanation, and the BigQuery data canvas.

In today's rapidly evolving business era, organizations are not merely adapting to the digital transformation journey, they are actively driving it. Moreover, the statistics surrounding the growing nature of digital transformation in businesses are nothing short of staggering and you can see it below yourself.

In today's rapidly evolving business era, organizations are not merely adapting to the digital transformation journey, they are actively driving it. Moreover, the statistics surrounding the growing nature of digital transformation in businesses are nothing short of staggering and you can see it below yourself.

In today’s startup era, having a robust online presence is essential for attracting better visibility and staying ahead of the competition. Whether your startup is product-based or service-based, leveraging every opportunity to showcase your business through a company website and following a thorough mobile app development process is crucial. And, according to statistics, every 1 out of the 3 youngsters is planning a new startup idea. That’s interesting! But we can take it even further.

Every business has key customer behaviors it aims to drive — whether it's encouraging repeat purchases, promoting product upgrades or boosting add-on services. Yet, despite access to advanced marketing technology and rich customer profiles, most businesses still rely on broad, generalized lifecycle marketing campaigns that fail to engage with customers.

‍ The rise of artificial intelligence (AI) in testing is enabling more predictive and intelligent test generation, execution, and defect analysis. This shift aims to reduce the time and effort required for manual testing to enhance test coverage and improve the overall software quality. Justifiably, key insights from Fortune Business project the growth of the AI-enabled testing market from USD 736.8 million in 2023 to USD 2,746.6 million by 2030.