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Full Steam Ahead: CIO Kopal Raj of WABTEC on staying ‘on-track’ with AI, IoT and sustainability goals

CIO

All our standard processes like shop floor management are digitized, and we collect data to perform analytics for preventive maintenance. Analytics is also used to ascertain margins of our services, sales, and for the customers to decide what they want to buy next. India’s Vande Bharat trains are powered by WABTEC’s technology.

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8 data strategy mistakes to avoid

CIO

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. They also need to establish clear privacy, regulatory compliance, and data governance policies.

Strategy 340
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Daily Crunch: Vulnerable component in IoT devices poses ‘supply chain risk,’ Microsoft says

TechCrunch

If there was ever a time for our governments to update old energy grid software, perhaps it is now. Dan LeBlanc, the CEO and co-founder of data and analytics Daasity, has written a detailed strategy guide aimed at helping marketers boost ROI and create a cohort analysis that tracks lifetime value against customer acquisition cost.

IoT 236
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Preserving rainforests through innovation and collaboration

CIO

ClimateForce is working to regenerate the area, and NTT is helping to support this effort using its own Smart Management Platform (SMP) Technology and Analytics. At its core, the Smart Rainforest is a sophisticated network of Internet of Things (IoT) devices strategically deployed across the rainforest region.

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IoT analytics guide: What to expect from Internet of Things data

CTOvision

Read Bob Violino explain how companies will face challenges like data capture, data governance, and availability of services while creating an IoT analytics environment on Network World : The growth of the Internet of Things (IoT) is having a big impact on lots of areas within enterprise IT, and data analytics is one of them.

IoT 81
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2 Innovations That Can Tip the Balance in Cybersecurity

CIO

government. Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field. They are: Innovations in automation.

Security 363
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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.