API Fortress is a continuous testing platform for APIs. We’ve been a friend to Kong since the beginning. In this guest blog post, we explain how our company uses Kong to facilitate the process of virtualizing APIs.
Qlik is at the forefront of bringing augmented intelligence even further into analytics, helping business users scale their ability to explore and surface key insights from all their data. As we expand the role and use of analytics through our customer organizations, we know that making it easier for users to interact with data is essential to both increased adoption and higher data value.
There is so much talk about the potential of Artificial Intelligence (AI) and Machine Learning (ML), especially in the Business Intelligence (BI) and Analytics arena. The most powerful examples revolve around the ability of machines to spot patterns and trends within huge volumes of data.
Content promotion via social media is still highly effective for many marketers, but the best social channels for sharing content might not be those you expect.
With the release of Yellowfin 8, we launched our new Stories feature. It was supposed to solve a cutting and pasting issue, but we discovered it solved a problem far bigger than we knew existed.
Whether in the tech press or analyst reports, it became more common in 2018 to see the words “API” and “security”—or worse, “API” and “breach”—together in the same headline. APIs are not only the connective tissue between applications, systems, and data, but also the mechanisms that allow developers to leverage and reuse these digital assets for new purposes.
At Qlik, we have a saying that an angel loses its wings every time data is exported to a spreadsheet. Don’t be responsible for an angel losing its wings.
Four months ago, we declared that API Management is dead and announced our vision for a service control platform. Today, we’re taking a critical step towards fulfilling that vision with the launch of artificial intelligence and machine learning additions to the Kong Enterprise platform – Kong Brain and Kong Immunity.
As enterprises amass terabytes of complex data, they need tools to house and make better sense of their information. This is why we’ve built BigQuery, to help data analysts deal with large datasets. But not all of us are data wizards. Many of us use spreadsheets to perform ad-hoc analysis.
Technology continues to rapidly transform every industry. The world of BI and analytics is no different. We’ve shared five predictions every data leader needs to know about in 2019, but there were five more we couldn’t leave out. 6. Semantic models make a resurgence
