Many SAP customers have been running SAP on premise for decades and have struggled to harness the full potential of their business processes data running inside of SAP along with other enterprise and external data to gain augmented insight and become more agile in this digital era where everything keeps on moving at an exponential pace with no sign of slowing down.
Our vision with Kiwi.com is to offer customers a way to buy travel insurance coverage, book a taxi from home to the train station, take a train to the airport, pick up a rental car, and drive to their destination all in one seamless customer experience. To do it, we’ve built a B2B platform, Tequila, which aims to be a one-stop travel booking shop for our partners, such as online travel agencies, airlines, brick-and-mortar agencies, and affiliated programs.
I have had the privilege of playing with and following the progress of Pipeline Designer for a while now. I am really excited about this new tool. If you haven’t seen it yet, then don’t delay and get your free trial now…..actually, maybe read this blog first ;-) Pipeline Designer is an incredibly intuitive, web-based, batch and stream processing integration tool.
Before going to the world of integration, machine learning, etc., I would like to discuss with all of you about a scenario many of you might experience when you live in a mega city. I lived in the London suburbs for almost 2 years (and it's a city quite close to my heart too), so let me use London as this story's background. When I moved to London, one question which came to my mind was whether I should buy a car or not. The public transport system in London is quite dense and amazing (Oh!!!
As an innovative company, Yellowfin is focused on delivering new products to market, not just incrementally improving what we have. If you're a software company looking to build your own innovation strategy, there are some things that you need to do, and a few you shouldn’t, to make sure you're successful. The first thing you shouldn’t do is look at your competitors. Many software companies have one great idea and then they stop.
We had a great time at the Snowflake Summit last week with customers and fellow partners! Thanks for coming up to our booth and sharing your thoughts on your experiences with Snowflake. A few main topics kept coming up that we thought were worth sharing.
Tideways history functionality is still mostly based on the features available 4 years ago, before we introduced Services and Environments, Downstream Layers and many others. Time for a redesign of the history to include support for all the features and data that are available now. By using the UI elements from the performance overview our we also introduce a familiar look and feel, where the previous history screen used its own widgets.
The main purpose of machine learning is to perform learning tasks on unseen data sets, having previously built up experience using training and testing data. Often those tasks can include looking for patterns and relationships between variables within the data.
Safaricom holds the distinction of being the largest telecommunications services provider in Kenya, but we’re aiming for an even loftier goal: empowering Kenyans with tools for economic growth. From venture capital investments in local startups to our commitment to United Nations (UN) sustainability goals, we prioritize the mission of transforming lives in our country.
As the demand to release quality software products in the short amount of time continues to accelerate, Agile and DevOps teams have to adopt new approaches to avoid falling behind. Continuous testing and shift-left testing are two breakthrough solutions in this modern era of software delivery. In this blog, we will walk you through these two notions, their benefits, and how to implement them into your software development life cycle (SDLC).
