Cloudera

DECEMBER 8, 2020

Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Transporting models rather than data has numerous ramifications and tradeoffs. Numerous startups have cropped up (and some disappeared by acquisition) with Federated Learning as their core technology.

Machine Learning 85

Machine Learning Artificial Inteligence Data Conference 85

CIO

FEBRUARY 4, 2025

Where possible, implement analytics platforms that can work directly with data in cloud data stores, eliminating the need to move large datasets, and implement data cataloging tools to help users quickly discover and access the data they need. This reduces latency for workloads and analytics, improving the users perception of speed.

Storage 103

Storage Artificial Inteligence Data Meeting 103

TechCrunch

MAY 10, 2022

“By 2024, 60% of the data used for the development of AI and analytics projects will be synthetically generated.” Next, there’s the core of the prediction — that synthetic data will be used in the development of most AI and analytics projects. Last but not least is the time horizon. Ofir Zuk (Chakon).

Marketing 199

Marketing Data Artificial Inteligence Machine Learning 199

CIO

DECEMBER 30, 2024

This event will bring together AI experts, researchers, and tech enthusiasts to discuss how AI is reshaping everything from healthcare to transportation. With practical workshops, keynote sessions, and live demonstrations, AI Everything offers a deep dive into the current and future applications of AI, machine learning, and robotics.

Artificial Inteligence 88

Artificial Inteligence Blockchain Artificial Intelligence Healthcare 88

TechCrunch

SEPTEMBER 12, 2022

He explained that restaurants, hotels and catering companies typically have to go to crowded markets, negotiate with several vendors, verify the quality of the products and arrange for transportation — often having to drive hours to pick it up themselves. and have it delivered to their shops by 7 a.m.

Artificial Inteligence 202

Artificial Inteligence Hotels Artificial Intelligence Transportation 202

CIO

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. That enables the analytics team using Power BI to create a single visualization for the GM.”

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

Cloudera

OCTOBER 14, 2020

alone, average about 45,000 daily flights and transporting over 10 million passengers a year (source: FAA ). To maximize safety for all passengers and crew members, while also delivering profits, airlines have heavily invested in predictive analytics to gain insight on the most cost-effective way to maintain real-time engine performance.

Machine Learning 97

Machine Learning Artificial Inteligence Engineering Airlines 97

CIO

SEPTEMBER 12, 2022

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. NJ Transit.

Data Engineering 174

Data Engineering Engineering Data Transportation 174

TechCrunch

NOVEMBER 14, 2021

Simply put, if machines are generating things, they’ll generate things in the same form every time, so we should have a much easier time understanding and combining data from myriad sources. As a professor, I’d award it a passing grade, but not an A.

Industry 335

Industry Artificial Inteligence Data Artificial Intelligence 335

TechCrunch

MAY 3, 2023

The platform provides various tools and apps for accomplishing different tasks across freight procurement, trade and transport management, freight audit and payment and document management, as well as dispatch planning and analytics. Customers can customize the tools and apps or build their own using Pando’s APIs.

Transportation 252

Transportation Survey Retail Enterprise 252

TechCrunch

FEBRUARY 2, 2022

” That is to say, Annotell’s products encompass analytics that test and measure the quality of a company’s data, and “ground-truth” production to improve those data sets. “Machine learning is bad at processing rare but important things,” Langkilde said.

System 234

System Artificial Inteligence Machine Learning Testing 234

Altexsoft

NOVEMBER 11, 2019

Let’s compare the existing options: traditional statistical forecasting, machine learning algorithms, predictive analytics that combine both approaches, and demand sensing as a supporting tool. Machine learning for demand planning — advanced accuracy at the price of added complexity. Data sources. Why to use it.

Machine Learning 14

Machine Learning Artificial Inteligence Analytics Technical Review 14

CIO

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 216

Business Intelligence Data Business Analytics Analytics 216

CIO

JUNE 13, 2024

They form the core of any analytics team and tend to be generalists versed in the methods of mathematical and statistical analysis. The rising demand for data analysts The data analyst role is in high demand, as organizations are growing their analytics capabilities at a rapid clip. billion this year, and would see 19.3%

Data 148

Data Analytics Transportation Business Intelligence 148

CIO

AUGUST 8, 2024

Farys is a water utility that provides cities and municipalities in Belgium with public domain services and infrastructure management—from the distribution and transport of drinking water to water sanitation to sports facilities and swimming pools. More than 2.7 For post-implementation details, read the case study.

Sustainability 179

Sustainability Artificial Inteligence Systems Review Technical Review 179

CIO

MAY 16, 2024

The high-end organic produce and fresh meats distributor envisions IT — analytics and AI, specifically — as the key to more efficient distribution logistics and five-star customer experience. Digital Transformation, IT Leadership, Transportation and Logistics Industry poached its first CIO.

Artificial Inteligence 156

Artificial Inteligence IoT Transportation Analytics 156

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%).

Budget 218

Budget Artificial Inteligence Technical Review VR 218

TechCrunch

FEBRUARY 9, 2022

Scandit — which uses computer vision to scan barcodes, text, ID cards or any physical object to trigger automated responses, provide analytics and more — has raised $150 million, a Series D that values the Swiss startup values at over $1 billion. Annual recurring revenues have doubled (it doesn’t disclose actual figures).

Technology 238

Technology Data Artificial Inteligence Retail 238

TechCrunch

OCTOBER 27, 2021

Those maps can then be sold to OEMs, transport authorities, municipalities, insurance companies, tire companies, Tier 1s and others. . Analytics can also be shared via a report for third parties like mapping companies, road authorities or fleet managers to identify areas of distress on the road.

Virtualization 215

Virtualization Mobile Company Transportation 215

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. Analytical solution with machine learning capabilities.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

Altexsoft

MAY 20, 2020

Source: IoT Analytics. 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. AWS IoT Analytics.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20

CIO

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

CIO

JANUARY 31, 2023

These changes bring new challenges, but advancements in IT automation, artificial intelligence (AI) and machine learning (ML), and edge-computing capabilities will play a key role. Intel® Technologies Move Analytics Forward Data analytics is the key to unlocking the most value you can extract from data across your organization.

Energy 167

Energy Artificial Inteligence Artificial Intelligence Analytics 167

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.), Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 108

Big Data Technology Tools Cloud 108

CTOvision

JUNE 15, 2015

At the core of this commitment, IBM plans to embed Spark into its industry-leading Analytics and Commerce platforms, and to offer Spark as a service on IBM Cloud. IBM will open source its breakthrough IBM SystemML machine learning technology and collaborate with Databricks to advance Spark’s machine learning capabilities.

Open Source 117

Open Source Machine Learning Artificial Inteligence Big Data 117

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 148

Technical Review Weak Development Team Development Transportation 148

CIO

AUGUST 16, 2022

Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems.

Infrastructure 218

Infrastructure Industry 3D VR 218

Altexsoft

JANUARY 27, 2022

In the last decades, many cities adopted intelligent transportation systems (ITS) that support urban transportation network planning and traffic management. Transportation, delivery, field service, and other businesses have to accurately schedule their operations and create the most efficient routes. Machine learning approach.

Machine Learning 69

Machine Learning Artificial Inteligence Transportation Network 69

Openxcell

SEPTEMBER 13, 2020

Impact of IoT and ML: IoT and Machine Learning were mere technologies that people heard emerging to simplify people’s life. Many mobile application development companies are already adopting IoT and machine learning in developing innovative mobile applications. How are IoT and Machine Learning Changing Everyone’s Lives?

Machine Learning 52

Machine Learning Artificial Inteligence IoT Transportation 52

CIO

NOVEMBER 18, 2022

Technologies like the Internet of Things (IoT), artificial intelligence (AI), and advanced analytics provide tremendous opportunities to increase efficiency, safety, and sustainability. Private 5G enables a transportable “network-in-a-box” solution that can be relocated to provide connectivity and bandwidth in remote locations.

Artificial Inteligence 148

Artificial Inteligence IoT Sustainability Artificial Intelligence 148

Altexsoft

DECEMBER 28, 2020

First, a shipper tenders or, in other words, offers a load for transport at a certain price to a broker. To ensure profitability, they must define the most efficient transport option that benefits their own business while satisfying customer requirements. Second, the broker tenders the load at a lower price to a carrier.

Transportation 75

Transportation Software Review Software Systems Review 75

KitelyTech

FEBRUARY 4, 2021

The last two decades of technology development has led to several major innovations, including machine learning and data science breakthroughs. Machine learning and data science are distinct disciplines that can work together but should be treated as their own focus areas in business. What is Machine Learning?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Artificial Intelligence 52

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. Roads and Transport Authority, Dubai. The Roads and Transport Authority (RTA) operating in Dubai wanted to apply big data capabilities to transportation and enhance travel efficiency.

Artificial Inteligence 111

Artificial Inteligence Transportation Machine Learning Telecommunications 111

Altexsoft

FEBRUARY 26, 2019

In general, price forecasting is done by the means of descriptive and predictive analytics. Descriptive analytics. Descriptive analytics rely on statistical methods that include data collection, analysis, interpretation, and presentation of findings. In short, this analytics type helps to answer the question of what happened?

Real Estate 69

Real Estate Artificial Inteligence Machine Learning Hotels 69

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90