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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. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

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What CEOs really need from today’s CIOs

CIO

When Cargill started putting IoT sensors into shrimp ponds, then CIO Justin Kershaw realized that the $130 billion agricultural business was becoming a digital business. To help determine where IT should stop and IoT product engineering should start, Kershaw did not call CIOs of other food and agricultural businesses to compare notes.

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Internet of Things (IoT) and Event Streaming at Scale with Apache Kafka and MQTT

Confluent

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the data in real time and at scale. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. Example: Severstal.

IoT 20
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Predictive Maintenance: Employing IIoT and Machine Learning to Prevent Equipment Failures

Altexsoft

the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. Similar to preventive maintenance, PdM is a proactive approach to servicing of machines. Analytical solution with machine learning capabilities. chemical content.

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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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How IT Ops Can Exceed Service Level Objectives in Digital Transformations

DevOps.com

The pace of change can be managed successfully by defining service level objectives and more in dev environments Mobile applications, data lakes, microservices, data visualizations, SaaS integrations, automations, IoT data streams, machine learning models—in proof of concepts, pilots and scaling production environments, for customer-facing capabilities (..)

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Navigating the Landscape of Development Frameworks: A Guide for Aspiring Developers.

Perficient

Java (Spring Boot) : A Java-based framework that simplifies the development of enterprise-level applications with built-in tools for microservices, security, and database integration. Recommended Resources: Unity Learn. Unreal Engine Online Learning. Upskilling : Learn Python and libraries like NumPy , Pandas , and Matplotlib.