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.
Cybersecurity’s next frontier will be at the edge
Cybersecurity continues to be a top challenge for organizations, and is only amplified by growing risks from the cloud, edge computing and IoT. In fact, a recent Hazelcast survey of IT decision-makers named privacy as the biggest concern related to cyber threats, while security risks and privacy concerns were the top barriers in moving to the cloud.
In 2020, enterprises will need to address these challenges in real-time without requiring tradeoffs in performance and user-friendliness. To keep up with the proliferation of data based on IoT and changing user demands, enterprises will turn to technologies enabling security at the edge where their customers and businesses operate.
AI/ML will overcome challenges related to stream processing
To achieve low latency stream processing and high throughput at scale and in real-time, AI models and applications must be iterative and responsive to change. 44% of IT decision-makers find it extremely difficult to manage advances in technology speed, a recent Hazelcast survey found.
The marriage of stream processing and AI will enable companies dealing with a massive volume of real-time events to generate immediate value from their data, opening up more opportunities for innovation. It will also allow developers to more quickly identify anomalies, respond to events or publish events in a data repository for storage and historical analyses, ultimately impacting business outcomes.
Latency and processing speed will separate business leaders from laggards
As organizations struggle to handle the influx of volumes and complexity of data, reducing latency and response time will become a hallmark of business success. A recent survey conducted by Hazelcast found that 25% of companies that measure latency in seconds have an “extremely difficult” time managing advances in technology speed, compared to those measuring in smaller time scales (milliseconds and microseconds).
In 2020, ultra-low latency and split-second processing speeds will enable organizations to tackle new frontiers in AI, IoT, 5G, edge computing and more, leading to better decision-making and improving the customer experience. Processing new data at the speed in which it is generated will become the new normal as businesses operate in a completely new time scale.