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.
When your production line runs at nearly 100 percent capacity, even a momentary blip can cost your organization a packet. That’s why Texas Instruments is using InfluxDB to monitor its manufacturing operation and detect problems before they become costly.
As we kick off a new year, so does new and refreshed thinking in the public sector. With another full year of lessons learned from the pandemic, public sector leaders will apply these insights in the way they execute their documented data strategies. Synthesizing what we see and hear from our stakeholders, below are five of the needle movers we see in public sector data strategy execution.
