Production delays or stoppages are the bane of any manufacturer. When you’re a global automaker like Volvo, even the smallest delays can have significant ripple effects. But not even global leaders are immune to IT issues. This was the situation Volvo faced several years ago. It had a legacy DevOps monitoring solution in place for the previous 15–20 years, but that system no longer met the company’s needs. On the surface, it seems like a robust system.
These are heady times to be in the big data business, with big growth predicted for the foreseeable future across several measures, including data generation and storage, market spending, and data analytics hiring. First, the growth of data shows no signs of slowing down. In fact, data creation leaped forward in 2020 thanks to the COVID-19 pandemic, according to IDC’s DataSphere and StorageSphere reports.
HighByte is an industrial software company based in Portland, Maine building Industry 4.0 based solutions that address the data architecture and integration challenges inherent in manufacturing. The company developed the first DataOps solution purpose-built to meet the unique requirements of industrial assets, products, processes, and systems at the Edge.
Closing the gap between their organization’s choice to invest in a data science and machine learning (DSML) strategy and the needs that business units have for results, will dominate data and analytics leaders’ priorities in 2022. Despite the growing enthusiasm for DSML’s core technologies, getting results from its strategies is elusive for enterprises.
The fintech market grows larger and more diverse each day. The financial news website Market Screener says the global fintech market will be worth $26.5 trillion by 2022, with an average annual growth rate of 6%. In Europe alone, the use of financial technology increased by 72% during 2020. Competition in this market segment is also on the rise.