Multi-cloud, edge computing and stream processing investments take center stage
As we enter 2020, companies will have to address new and persistent digital challenges that affect system and business performance.
How are companies coping with their current technologies and customer demands, and how are they preparing for new technologies? It is those who respond to what is becoming infinite amounts of data and mounting customer demands with even greater levels of performance.
Here are five trends that we will see enterprises adopt to enhance performance and increase growth in 2020.
Organizations will grapple with scaling multi-cloud, hybrid, edge/fog and more
In 2020, in-memory computing will disrupt both NoSQL and traditional database technologies, and streaming analytics will emerge as the preferred approach for data integration. Low-latency in-memory platforms for streaming will define a new paradigm for performance in this space, further disrupting traditional approaches.
Multi-cloud will also emerge as the preferred strategy to build and integrate applications. In response, enterprises will increasingly need to support and scale multi-cloud, hybrid cloud and edge/fog, and turn to new approaches to achieve real-time machine learning at enterprise scale.
“AI-First” will become the standard for creating a great application experience
We are on the frontier of a radical reshaping of business models brought along by AI. The introduction of 5G is leading to greater IoT adoption, creating more bandwidth for AI/ML to get closer to the edge. However, applications that generate such high volumes of streaming data will require performance on a very different scale, as millions of transactions per second are routine for AI/ML systems.
To fine-tune the transaction process, enterprises will increasingly need to track and manage applications while in the hands of the user in real-time. This opens up operational opportunities where improving the speed and efficiency of applications can elevate the customer experience, which is a significant burden of 64% of IT decision-makers a recent Hazelcast survey found.
