CTOvision

JANUARY 28, 2015

Our speakers have a laser-sharp focus on the data issues shaping all aspects of business, including verticals such as finance, media, retail and transportation, and government. The data industry is growing fast, and Strata + Hadoop World has grown right along with it. Data scientists. Data engineers.

Big Data 109

Big Data Case Study Conference Study 109

CTOvision

FEBRUARY 23, 2017

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. The data industry is growing fast, and Strata + Hadoop World has grown right along with it. Data scientists. Data engineers. Why You Should Attend.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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. Batch processing.

Analytics 20

Analytics Data IoT Analysis 20

Cloudera

MAY 28, 2019

What emerges is the criticality of a data strategy and core data management competency, including both data and model management, to support enterprise ML initiatives. Cloudera customers can start building enterprise AI on their data management competencies today with the Cloudera Data Science Workbench (CDSW).

Compliance 48

Compliance Innovation Meeting Industry 48

CTOvision

OCTOBER 22, 2014

About two years ago, we began investigating magnetic field architecture (MFA) and hover technology as a better way to build, move people and move materials,” said Arx Pax founder Greg Henderson. The New Mexico Department of Transportation is hoping that could be the case. Pentaho, Cloudera Executives See Bigger Data Opportunities.

Technical Review 108

Technical Review Technology Software Review 3D 108

O'Reilly Media - Ideas

MAY 1, 2019

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. AI and machine learning.

Course 47

Course Training Artificial Inteligence Machine Learning 47

Confluent

FEBRUARY 6, 2019

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. No matter what other platforms are supported, chances are very high that your data scientists will build and train their analytic models with Python. You need to think about the whole model lifecycle.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 120

Artificial Inteligence Generative AI Security Applications 120

IDC

JULY 23, 2019

In contrast, spending on 3rd Platform technologies (cloud, mobility, Big Data, and social) and innovation accelerators is projected to soar by around 15% from 2019–2022. CX may use hyperscale or multicloud platforms to support data and omni-channel integration. Overall ICT spending in Europe is forecast to rise by 3.0%

IoT 45

IoT Artificial Intelligence Artificial Inteligence Big Data 45

Altexsoft

APRIL 23, 2021

This data is an inevitable part of a cohesive ecosystem known as the Internet of Medical Things (IoMT). We’ve already addressed the subject of IoMT in our article devoted to the role of Big Data in healthcare. Our dedicated article will provide you with more details on the IoT architecture layers and components.

Healthcare 64

Healthcare Internet IoT Systems Review 64

Altexsoft

JUNE 11, 2021

Process analytics takes place. Here, KPIs can be created and monitored to uncover potential improvement areas, data mining and/or ML algorithms can be used to detect hidden patterns and dependencies, or conformance checking techniques can be applied to compare the process to a certain ideal model. Process mining and supply chain.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

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

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Storage 59

AWS Machine Learning - AI

FEBRUARY 29, 2024

This data is information rich but can be vastly heterogenous. Proper handling of specialized terminology and concepts in different formats is essential to detect insights and ensure analytical integrity. With Knowledge Bases for Amazon Bedrock, you can access detailed information through simple, natural queries.

Knowledge Base 110

Knowledge Base Artificial Inteligence Generative AI AWS 110

The Cipher Brief

JUNE 2, 2021

The government’s information architecture will have to be re-configured to meet the challenge posed by the Chinese state. It requires investigative techniques, combined with advanced analytical tooling, to identify the systems which pose risk. Established analytical approaches include: Risk Assessment. Become a member today.

Organization 35

Organization Journal Government Artificial Inteligence 35

Altexsoft

NOVEMBER 9, 2021

If you want to streamline your procurement and gain more visibility into this process, you have to get hold of available data, analyze it, and extract value to make informed decisions. What is procurement analytics and the opportunities it offers? Main components of procurement analytics. Procurement and its challenges.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

CTOvision

NOVEMBER 7, 2014

Big Data Integration Workshop. Big data represents a major shift in the technology landscape. To tackle challenges related to the increased variety, velocity, and volume of information, companies are turning to Hadoop, NoSQL and Analytics Databases. Use Case 2: Streamlined Data Refinery (SDR). From: [link].

Big Data 109

Big Data Data Training Analysis 109

Altexsoft

MAY 20, 2020

Source: IoT Analytics. For companies, incorporating the consistent IoT strategy into daily routine means continuous access to valuable data about products and processes that can be translated into reduced expenses, improved efficiency in logistics and maintenance, better products and enhanced customer experience. Source: IoT Analytics.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

MARCH 18, 2021

It is the process of collecting raw data from disparate sources, transmitting it to a staging database for conversion, and loading prepared data into a unified destination system. These are data engineers who are responsible for implementing these processes. Data size and type. ELT comes to the rescue. What is ELT?

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

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. You can easily scale their capacity up and down, depending on the volume of data transferred and the number of sensors connected. Tasks you can solve with PdM.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

Altexsoft

JUNE 25, 2019

The process of moving data from one system to another, be it a SaaS application, a data warehouse (DW), or just another database, is maintained by data engineers. Meanwhile, data architect is responsible for building a DW – designing its structure, defining data sources, and choosing a unified data format.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Netflix Tech

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. Data Mesh leverages Iceberg tables as data warehouse sinks for downstream analytics use cases.

Data 101

Data Technical Review Report Systems Review 101

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

FEBRUARY 22, 2022

Fleet owners in trucking , car rental , delivery, and other transportation companies know that poorly maintained vehicles burn more fuel, require frequent oiling, and go kaput every other mile. Reporting and analytics is essential to obtain a bird eye view of your fleet and make data-based decisions. Processing data.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

JULY 9, 2021

Terms “fog computing”, coined by Cisco, and “edge computing” are often used interchangeably as they both involve allocating processing and analytics resources closer to the points where data is generated. Yet, cloud facilities can be hundreds or even thousands of miles away from where data is produced.

IoT 59

IoT Azure Hardware USP 59

Hu's Place - HitachiVantara

MARCH 18, 2019

As a megacity Istanbul has turned to smart technologies to answer the challenges of urbanization, with more efficient delivery of city services and increasing the quality and accessibility of such services as transportation, energy, healthcare, and social services. Hitachi Europe has introduced Finger Vein biometrics for ATMs.

Healthcare 61

Healthcare Tourism Systems Review Energy 61

Confluent

MAY 22, 2019

In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution. As IoT projects go from concepts to reality, one of the biggest challenges is how the data created by devices will flow through the system.

IoT 95

IoT Google Cloud Scalability Microservices 95

Altexsoft

OCTOBER 2, 2020

Key disciplines and roles in data management. Data architecture: aligning technologies with business goals. Specialist responsible for the area: data architect. Data architecture is a starting point for any data management model. There are two main approaches to data integration.

Database Administration 64

Database Administration Strategy Data Technical Review 64

LeanEssays

JANUARY 21, 2016

Big Data 3. He claimed that “the core functions of IT – data storage, data processing, and data transport” had become commodities, just like electricity, and they no longer provided differentiation. At the time, IT infrastructure was a big problem – especially for rapidly growing companies like Amazon.com.

Software Review 55

Software Review Innovation Software Technical Advisors 55

Openxcell

DECEMBER 27, 2021

From the development of business applications to backend development, Python has widened its reign even to AI development, automation, scientific computing, and big data. For microservice architecture, multiple module execution and development are required. IBM’s big data and AI offering – Watson, has its own Python SDK.

Technical Review 52

Technical Review Technology Software Review Open Source 52

CTOvision

JULY 14, 2015

Transportation Command upbeat in cyber progress report - FCW.com FCW (Today) - Transportation Command upbeat in cyber progress reportFCW.com“We know third-party contractors have been the path to numerous breaches in recent history,” he told FCW in an email. Transportation Command, like the. million Navy contract.

Technical Support 102

Technical Support Transportation Government Analytics 102

Altexsoft

MARCH 14, 2023

Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. What is a modern data stack? A data stack, in turn, focuses on data : It helps businesses manage data and make the most out of it. Modern data stack architecture.

Data 59

Data Technical Review Software Review Artificial Inteligence 59