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Elizabeth Wallace
The Technical Evolution of Apache Kafka: From LinkedIn’s Need to a Global Standard
When it comes to handling real-time data at scale, few technologies have made as significant an…
Joe McKendrick
Let’s Get ‘Phygital’: A $216-Trillion Market Emerges
Operational technology is converging with information technology, extended reality is converging with the world around us,…
Aaron Gavzy
Governing the Use of AI
Up until a little while ago, we were not really focused on the use of AI.…
Alex Merced
Open Source and the Data Lakehouse: Apache Iceberg and Project Nessie
The emergence of the data lakehouse concept has yielded transformative solutions that effectively address the challenges…
Unleashing the Potential of Enterprise IoT
In today’s era of digital transformation enabled by the IoT, enterprise-ready IoT is taking our digital transformations all the way out to the edge.
The Technical Evolution of Apache Kafka: From LinkedIn’s Need to a Global Standard
Today, Apache Kafka is a widely used technology, with applications ranging from real-time data processing to stream processing, event sourcing, and messaging across various technical domains, including finance, healthcare, social media, and e-commerce.
Real-time Data Integration: A Game-Changer for Mobile App Developers
Incorporating real-time data into mobile app development isn't just about delivering data faster. It's about creating more engaging, personalized, and responsive user experiences.
Malware Attacks Against IoT Devices Quadruple
Organizations need to take charge of their own IoT device security. It is not something that should be outsourced.
2024 Automotive Smart Manufacturing Trends
There is no question that auto manufacturers will rely on smart manufacturing strategies and solutions in the coming year. Here are some trends to look for in 2024.
Why Auto Makers Must Move to Intelligent Manufacturing Operations
A discussion about the factors driving the need for smart manufacturing, key technologies that help auto manufacturers make that change, and the benefits they will realize in using the technologies and solutions.
Human-robot Collaboration and Smart Manufacturing
Virtual commissioning and digital twins can help automakers and their Tier 1 parts suppliers ensure that their human-robot collaboration projects achieve their desire objectives without posing a safety threat to the human operators.
Real-time Analytics News for the Week Ending December 2
In this week's real-time analytics news: Amazon Web Services and its partners made many announcements at the annual re: Invent conference.
How Knowledge Graphs Make LLMs Accurate, Transparent, and Explainable
When LLMs are reinforced with knowledge graphs, they have the potential to significantly benefit knowledge workers.
Addressing a Fact of Life: Compressed Development and Launch Times in Auto Manufacturing
Automakers can successfully address compressed development and launch timelines by embracing Agile methodologies, advanced digital tools, and flexible supply chain strategies.
A Deep Dive into Virtual Commissioning
Virtual commissioning uses digital twins, sophisticated simulations, and modeling to help manufacturers adjust to changes and modernize their operations.
IoT in Urban Evolution: Why Smart Street Lights Illuminate the Path to Smarter Cities
Having a communications network to run smart street light initiatives means that additional smart city programs do not need to incur that foundational cost. So, building out more innovative smart city programs becomes more realistic.
Reskilling & Upskilling Talent in the Age of AI
Upskilling AI talent is not just a necessity but a moral imperative to shape a future where AI is used ethically and responsibly.
Improving Sensor Data and Telemetry Analysis
Apache Druid is designed for speed, scale, and streaming data, which makes it well-suited for use when analyzing sensor data.
Is AI Advancing Too Quickly?
Until AI advances to the point where it can actually think for itself, understand, and exhibit something that more closely resembles human-like intelligence and common sense, it will remain a tool that can be used for good or bad, depending on the intentions of its human users or the unintended consequences of its design.
NUS Open-Sources Multi-Modal Language Model, NExT-GPT
NExT-GPT's release offers developers a powerful multi-modal language model that can handle diverse inputs and outputs, paving the way for more sophisticated AI applications across different media types.
Let’s Get ‘Phygital’: A $216-Trillion Market Emerges
The growing use of digital twins that converge the physical and digital aspects of an entity is giving rise to a new phygital market.
Real-time Analytics News for the Week Ending November 25
In this week's real-time analytics news: Amazon’s new AI Ready initiative seeks to bring AI to the masses.
Summit Explores Open-Source Data Issues and Developments
Summit speakers discussed the open-source data ecosystem and its role in modern businesses.
How to Make “Reasoning Computers” Possible
Semantic technology, and semantic knowledge graphs in particular, continue to push the boundaries of what intelligent computers can achieve.
Five, Six, Seven, Eight: The Tempo of Test Automation
Dedication to improvement ensures that QA testing automation efforts remain effective in the ever-evolving landscape of software development.
Tap the Potential of Conversational CX with AI
Organizations can rely on AI-enabled tools to deploy conversational CX initiatives that positively impact customer loyalty and add value to their bottom lines.
Vector Database Market Set to Grow Significantly by 2028
The growing prevalence of AI and ML applications necessitates efficient storage and querying of high-dimensional data. Vector databases are pivotal in facilitating these operations, making them indispensable in today's evolving technology landscape.
IoT and Digital Twins Take Supply Chains to a New Level
Using IoT and digital twins in supply chains can deliver increased efficiency, reduced costs, and improved customer satisfaction.
Governing the Use of AI
When it comes to governing the use of AI, compliance starts from the top. It is vital that AI policies are not developed in a vacuum and that company leadership is also involved with their development to ensure that the effort supports the strategic direction of the organization itself.
