Remove Data Engineering Remove IoT Remove Machine Learning Remove Transportation
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NJ Transit creates ‘data engine’ to fuel transformation

CIO

The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes. Data engine on wheels’.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

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The IBM Press Release on Spark That Every Tech Leader Should Read

CTOvision

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Predictive Analytics – predictive analytics based upon AI and machine learning (Fraud detection, predictive maintenance, demand based inventory optimization as examples). Security & Governance – an integrated set of security, management and governance technologies across the entire data lifecycle.

Data 107
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Optimizing Connected Logistics Operations with Data Analytics

Trigent

Thankfully, it’s now a game for new technologies and leveraging structured and unstructured data like no other. The future of the global supply chain market lies in IoT, integrated solutions, data, and mobility. Connected logistics devices generate a massive amount of data. Delivering value in connected logistics.

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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

If we speak about end-to-end visibility, we mean that we should be able to have a granular view of all the main components of a supply chain: transportation – which entails control over the actual delivery process, tracking shipments , predicting ETA , etc.; The readings from IoT sensors and other connected devices (e.g.,