Hazelcast releases Infinity Data report that drives a connection between latency, innovation and business performance

Hazelcast released its “Infinity Data” report that reveals the link between latency, innovation and business performance. The research, commissioned in collaboration with Intel, revealed that more than half (65 percent) of organizations measure the cost of speed and response time on their business, highlighting how defeating latency is key to an organization’s success. 

The study surveyed IT decision-makers across five key industries – financial services, e-commerce/retail, telecommunications, energy and the public sector – about how they are addressing new and persistent digital challenges that affect systems and performance.

Reducing latency is the hallmark of competitive organizations, allowing them to perform at the speed and scale necessary to embrace new innovations in AI, edge computing, IoT and more. Numerous examples in modern business demonstrate why low latency and high performance in handling data and transactions at scale are essential. 

For example, payment processing systems illustrate the impact of low latency – according to the research, 75 percent of financial services respondents reported that quickly executing transactions is “extremely important” to their organization’s competitive advantage.

In an era inundated with the promise of artificial intelligence (AI), machine learning and other advanced technologies, businesses need to view and measure their world through a different, faster time scale to meet the new levels of performance necessary to compete. 

According to Hazelcast’s research, companies are measuring performance in mere milliseconds and microseconds (58 percent) rather than seconds (39 percent). To put it into context, the average blink of an eye is 300 milliseconds or 300,000 microseconds. And these levels of processing speeds are separating business leaders from laggards – the survey found that 25 percent of companies measuring latency in seconds report having an “extremely difficult” time managing advances in technology.

The increase in devices, sensors and a variety of other data sources create the opportunity for better decision-making and customer offerings. However, the research revealed that nearly half (49 percent) of respondents have significant difficulties handling the influx of large volumes of data from these IoT devices. For smart organizations to thrive, it will become imperative to adopt new technologies that can handle big data, while eliminating latency in order to deliver an improved customer experience.

Additional findings from the survey include AI and machine learning ranked first among technologies expected to be most disruptive, while automation of processes and AI adoption were tied for second in being named the biggest drivers of industry change in the next two years. 5G is a top-five disrupting force among the e-commerce/retail and financial services industries, while implementing 5G ranked fourth overall in terms of priorities over the next two years.

Automation of processes is seen as one of the biggest drivers of change, while investing in automation tied for first as one of the steps companies are taking to prepare for a recession in the next year. Protecting privacy was the biggest concern related to cybersecurity threats, while security risks and privacy concerns were seen as the top two barriers to efforts to move to the cloud.

“The intersection of time and data is the next frontier for businesses to conquer, especially if they are to deploy artificial intelligence, edge computing and any other data-centric applications or services,” said Kelly Herrell, CEO of Hazelcast. “While latency has quickly become a significant barrier to company performance, our research reveals that organizations capable of measuring its impact on the business are better positioned to be a leader in the digital era.”

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