Cloudera

AUGUST 11, 2022

To drive these data use cases, the Department of Defense (DoD) communities and branches require a reliable, scalable data transport mechanism to deliver data (from any source) from origination through all points of consumption; at the edge, on-premise, and in the cloud in a simple, secure, universal, and scalable way.

Data 91

Data Transportation Architecture Scalability 91

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence 117

Artificial Inteligence Generative AI Security Applications 117

Netflix Tech

JUNE 7, 2021

The sidecar has been implemented by leveraging the highly performant eBPF along with carefully chosen transport protocols to consume less than 1% of CPU and memory on any instance in our fleet. The choice of transport protocols like GRPC, HTTPS & UDP is runtime dependent on characteristics of the instance placement.

Network 130

Network IPv6 Transportation AWS 130

Sunflower Lab

MARCH 29, 2024

A recommendation engine uses machine learning algorithms to recommend the most relevant data to a user based on that particular user’s behavior and preferences. This recommendation engine leveraged machine learning algorithms to analyze service requests and recommend the most suitable technician for each maintenance task.

Engineering 40

Engineering Healthcare Systems Review Technical Review 40

Apiumhub

JANUARY 26, 2022

While data science and data scientists in particular are concerned with exploring data, finding insights in it, and building machine learning algorithms, data engineering cares about making these algorithms work on a production infrastructure and creating data pipelines in general. Who are data engineers?

Data Engineering 52

Data Engineering Engineering Data Machine Learning 52

d2iq

NOVEMBER 28, 2022

Modified Henry Ford has no political views but possesses all the engineering and organizational genius of the original Henry Ford, the man who “ transformed not only the automobile but working life and the role of transportation.” A Modern Innovation Engine Henry Ford was fanatical about maximizing efficiency and performance.

Cloud 78

Cloud Automotive Journal Innovation 78

Trigent

FEBRUARY 9, 2023

Data-Driven Insights : End-to-End automation leverages artificial intelligence and machine learning technologies to analyze and make decisions based on large amounts of data. Machine Learning (ML) : ML, a branch of AI, empowers systems to learn and improve through the experience without explicit programming.

Artificial Inteligence 52

Artificial Inteligence Agile Artificial Intelligence Technical Review 52

TechCrunch

APRIL 7, 2022

” The high barrier to entry serves both to cover costs and purposefully cut the target market size, Hermann says, making Saiga’s business realistically scalable — in theory. The service has multiple pricing tiers, the cheapest being €299 (~$330 million) per month with additional fees for “overly complex tasks.”

Weak Development Team 185

Weak Development Team Artificial Inteligence Training Research 185

Capgemini

JUNE 14, 2023

Flexibility and scalability: As a software-defined component, the RIC adds flexibility and scalability to the RAN. By managing resources centrally and orchestrating them dynamically, the RIC helps efficiently allocate network capacity based on demand, ensuring scalability and adaptability. More details here.

Innovation 52

Innovation Engineering Energy Network 52

Palo Alto Networks

MAY 18, 2023

Modernizing the industrial and operational technology (OT) environment has been challenging for customers in verticals like manufacturing, electric utilities, logistics and transportation. The solution is designed to be scalable and adaptable to meet the changing needs of the OT environment.

Network 44

Network Artificial Inteligence IoT Artificial Intelligence 44

Existek

OCTOBER 31, 2023

By optimizing the flow of materials, information, and funds, companies can minimize waste, lower production and transportation costs, and ultimately improve their profitability with AI introduction. Many companies manage to minimize waste, reduce emissions, and use sustainable sourcing and transportation methods.

How To 52

How To Artificial Inteligence Artificial Intelligence Transportation 52

Trigent

FEBRUARY 9, 2023

Data-Driven Insights : End-to-End automation leverages artificial intelligence and machine learning technologies to analyze and make decisions based on large amounts of data. Machine Learning (ML) : ML, a branch of AI, empowers systems to learn and improve through the experience without explicit programming.

Agile 52

Agile Artificial Inteligence Artificial Intelligence Technical Review 52

CTOvision

JUNE 15, 2015

IBM will also put more than 3,500 IBM researchers and developers to work on Spark-related projects at more than a dozen labs worldwide; donate its breakthrough IBM SystemML machine learning technology to the Spark open source ecosystem; and educate more than one million data scientists and data engineers on Spark.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Learn more about the Cloudera Data Science Workbench for the end-to-end ML workflow at our bi-weekly webinar series featuring live expert demos and Q&A.

Compliance 48

Compliance Innovation Meeting Industry 48

Netflix Tech

OCTOBER 19, 2020

This was the most important question we considered when building our infrastructure because data sampling policy dictates the amount of traces that are recorded, transported, and stored. The next challenge was to stream large amounts of traces via a scalable data processing platform. Storage: don’t break the bank!

Infrastructure 93

Infrastructure Microservices Systems Review Storage 93

Trigent

JULY 9, 2021

There is no denying technology and changing times have sparked new trends that are all set to shape the future of transportation and logistics. Artificial Intelligence (AI) and Machine Learning (ML). On the other hand, autonomous mobile robots can help pick up goods and transport them to storage facilities.

Trends 52

Trends Industry IoT Blockchain 52

CIO

JULY 21, 2023

So as organizations face evolving challenges and digitally transform, they offer advantages to make complex business operations more efficient, including flexibility and scalability, as well as advanced automation, collaborative communication, analytics, security, and compliance features. A predominant pain point is the rider experience.

Technical Review 243

Technical Review Weak Development Team Transportation Development 243

Openxcell

APRIL 21, 2023

In today’s fast-paced world, Machine Learning is quickly changing the way various industries and our daily lives function. This engaging blog post dives into the exciting world of Machine Learning, shedding light on what it is, why it matters, its history, types, core principles, and applications.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Training Performance 52

Altexsoft

MARCH 30, 2020

The average cost of unplanned downtime in energy, manufacturing, transportation, and other industries runs at $250,000 per hour or $2 million per working day. the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. Tasks you can solve with PdM. Source: IAMTech.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

Instaclustr

DECEMBER 1, 2019

The Berlin ApacheCon was also smaller, but in a more compact location and with less tracks (General, Community, Machine Learning, IoT, Big Data), so on average the talks had more buzz than Las Vegas, with an environment more conducive to catching up with people more than once for ongoing conservations afterwards.

IoT 39

IoT Open Source Conference Big Data 39

Instaclustr

DECEMBER 2, 2019

The Berlin ApacheCon was also smaller, but in a more compact location and with less tracks (General, Community, Machine Learning, IoT, Big Data), so on average the talks had more buzz than Las Vegas, with an environment more conducive to catching up with people more than once for ongoing conservations afterwards. Source: Paul Brebner).

IoT 36

IoT Open Source Conference Big Data 36

Kentik

AUGUST 28, 2019

A highly-scalable architecture and framework with more data point granularity and superior performance. For example: Transport options: Many choices like TCP, UDP, and gRPC. And much more… especially when we are able to use AI or machine-learning techniques to make automated decisions based on telemetry data.

Network 52

Network Analytics Metrics Technical Review 52

Trigent

SEPTEMBER 15, 2021

AI, along with robotic process automation (RPA), voice recognition, natural language processing (NLP), and machine learning (ML), is allowing businesses to blend automation with human capabilities successfully to create intelligent working environments. The AI market globally is presently growing at a CAGR of 40%, all set to touch $26.4

Artificial Inteligence 52

Artificial Inteligence Enterprise Artificial Intelligence Technical Review 52

Altexsoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. That’s why traditional transportation methods for data can’t efficiently manage the flow of Big Data. Who is Big Data Engineer? Cloud computing. Data warehousing.

Big Data 52

Big Data Data Engineering Engineering Data 52

Altexsoft

APRIL 13, 2023

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.; increase customer satisfaction by giving real-time status updates; and so on.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Openxcell

MARCH 15, 2023

Key features of effective software development The common features that all software applications must satisfy to be successful are user experience, availability, performance, scalability, adaptability, security, and economy. Scalability – How well an application handles large or small numbers of transactions, services, and data.

Software Development 52

Software Development Software Review Trends Software 52

CIO

AUGUST 15, 2023

The scalable avatar can have hundreds of thousands of conversations individually and simultaneously, and is highly customizable and interactive in real-time, thereby providing an immersive experience for each user. For more about Discount Tire’s Pit Pass project, see “ Discount Tire tunes IT to reinvent customer experience.”

Technical Review 242

Technical Review Artificial Inteligence Systems Review Weak Development Team 242

Mobilunity

JUNE 5, 2023

Advanced automotive technologies are revolutionizing the way we think about transportation. Key technologies used: Intelligent Transportation Systems (ITS): Share real-time data for efficient traffic management. Key technologies used: Mobility-as-a-Service (MaaS): Offer on-demand transportation services.

Automotive 52

Automotive Software Development Software Artificial Inteligence 52

Xicom

JANUARY 4, 2023

It transports users into a completely artificial environment, where they can explore 3D worlds and objects. In the near future, cloud computing will become an even more integral part of the IoT experience, allowing for greater scalability and faster development. Virtual reality provides an even more immersive experience than AR.

Trends 59

Trends Artificial Inteligence Development Artificial Intelligence 59

Hu's Place - HitachiVantara

FEBRUARY 1, 2019

The Need for New Compute Architectures The growth in performance of non-volatile memory technologies such as storage-class memories , and the growing demand for intensive compute for graphics processors, analytics/machine learning, crypto currencies, and edge processing are starting to exceed the performance capabilities of CPU processors.

Hardware 49

Hardware Architecture Storage Systems Review 49

CTOvision

DECEMBER 30, 2015

Also look for more use of software for operating datacenters in scalable ways and for moving workloads between and among clouds. Breakthrough methodologies and new scalable data approaches based around Hadoop hold great promise to helping us make sense over increasingly large data sets. The home will be a major avenue for IoT advances.

Technical Review 62

Technical Review Trends Report Enterprise 62

AWS Machine Learning - AI

MARCH 28, 2024

It provides a collection of pre-trained models that you can deploy quickly and with ease, accelerating the development and deployment of machine learning (ML) applications. One of the main advantages of the MoE architecture is its scalability. Based in Dallas, Texas, he and his family love to travel and go on long road trips.

Artificial Inteligence 106

Artificial Inteligence Generative AI AWS Load Balancer 106

Altexsoft

MAY 20, 2020

Namely, these layers are: perception layer (hardware components such as sensors, actuators, and devices; transport layer (networks and gateway); processing layer (middleware or IoT platforms); application layer (software solutions for end users). Transport layer: networks and gateways. How an IoT system works. Edge computing stack.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

AUGUST 9, 2023

This flexibility ranges from booking flights with specific airlines and reserving accommodations in particular hotels to arranging transportation and coordinating ancillary services or activities. By leveraging historical data and current trends, machine learning algorithms can predict potential disruptions.

Travel 52

Travel B2B Off-The-Shelf Hotels 52

AWS Machine Learning - AI

APRIL 22, 2024

From an operational standpoint, you can embrace foundation model ops (FMOps) and large language model ops (LLMOps) to make sure your sustainability efforts are data-driven and scalable. This involves documenting data lineage, data versioning, automating data processing, and monitoring data management costs.

Generative AI 106

Generative AI Sustainability Artificial Inteligence AWS 106

Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Analytics in logistics and transportation.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87