Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Scalability Data Analytics 44

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Cloudera

JANUARY 19, 2018

Machine Learning in the Age of Big Data. Sean Anderson provides a tutorial on machine learning. From its origins in the 1950’s to today, the age of big data. Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning.

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

OTS Solutions

JULY 18, 2023

In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering. They now have access to vast amounts of data, which they can use to gain insights into customer behavior, optimize processes, and drive innovation.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Cloudera

SEPTEMBER 6, 2022

The result has been an extraordinary volume of data redundancy across the business, leading to disaggregated data strategy, unknown compliance exposures, and inconsistencies in data-based processes. . Why telco should consider modern data architecture. and — more worryingly — “how can we be sure?” .

Telecommunications 84

Telecommunications Architecture Data Government 84

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. They enable businesses to analyze the vast amount of data in real time, identify patterns and insights, and automate repetitive processes.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Altexsoft

APRIL 23, 2021

We’ve already addressed the subject of IoMT in our article devoted to the role of Big Data in healthcare. The Internet of Medical Things (IoMT) is a subset of the Internet of Things (IoT) , often referred to as healthcare IoT. IoT platforms to store, process, and manage data. Let’s get started.

Healthcare 64

Healthcare Internet IoT Systems Review 64

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces. We are all thrilled to welcome them to our own team of talented professionals.

Cloud 78

Cloud Google Cloud Azure AWS 78

Altexsoft

MAY 12, 2023

Whether it’s human- or machine-generated, unstructured data is challenging to handle, as it typically requires advanced techniques and tools to extract meaningful insights. Sensor data. As the data world evolves, more formats may emerge, and existing formats may be adapted to accommodate new unstructured data types.

Examples 59

Examples Tools Data Artificial Inteligence 59

OTS Solutions

JULY 18, 2023

In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering. They now have access to vast amounts of data, which they can use to gain insights into customer behavior, optimize processes, and drive innovation.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Altexsoft

AUGUST 29, 2023

It is a versatile platform for exploring, refining, and analyzing petabytes of information that continually flow in from various data sources. Who needs a data lake? If the intricacies of big data are becoming too much for your existing systems to handle, a data lake might be the solution you’re seeking.

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

NOVEMBER 9, 2018

IoT opens doors to threats. Frost & Sullivan estimates that Asia Pacific will spend US$59 billion on the Internet of Things (IoT) by 2020, up from the US$10.4 The rise of IoT malware. Realizing IoT devices’ weakness, cybercriminals have been developing more malware designed specifically to exploit those devices.

Data 57

Data IoT Malware Machine Learning 57

Altexsoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Inability to handle unstructured data such as audio, video, text documents, and social media posts. Key features of a data lakehouse.

Architecture 52

Architecture Data Storage Machine Learning 52

Hu's Place - HitachiVantara

SEPTEMBER 4, 2018

When one considers the data explosion being accelerated by Big Data, IoT, the increasing use of meta data, and AI/Machine learning, it is not surprising that storage capacity should be our greatest concern. You’ve heard analysts say that data is the new oil that fuels digital transformation.

Storage 53

Storage Performance IoT Machine Learning 53

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Digital Transformation is not without Risk.

Analytics 111

Analytics Open Source Government Machine Learning 111

Sunflower Lab

APRIL 2, 2024

Power BI Solution: Utilizing IoT sensors to collect real-time data on medical equipment, Microsoft Power BI applies predictive models to anticipate maintenance needs. By analyzing equipment performance data, maintenance logs, and historical failure rates, Power BI predicts equipment failures before they occur.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

TIBCO - Connected Intelligence

MARCH 18, 2020

TIBCO Data Science was just named a Leader in the 2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. Among the leaders, TIBCO Data Science stood out particularly on the dimension labeled Completeness of Vision in this MQ. The value of data science is to put those insights into actions.

Artificial Inteligence 34

Artificial Inteligence Machine Learning Analytics Big Data 34

Cloudera

JUNE 25, 2019

Cloudera shared a comprehensive overview and demonstration of the all-new Cloudera Data Platform (CDP). Struggling to combat proliferating silos and control their customers’ and operations data. Overwhelmed by new data – images, video, sensor and IoT. Unprepared to meet escalating data privacy regulations.

Enterprise 87

Enterprise Cloud Data Data Center 87

Cloudera

SEPTEMBER 25, 2018

At Strata Data , it appeared that artificial intelligence, machine learning, and the promise of game-changing insights from big data were at the forefront of everyone’s mind. With that, we would like to take this opportunity to once again, congratulate the winners of Cloudera Partner Awards: Best Solutions Awards.

Artificial Inteligence 44

Artificial Inteligence Machine Learning Artificial Intelligence Data 44

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: .

Artificial Inteligence 45

Artificial Inteligence Data Machine Learning Pharmaceuticals 45

Hacker Earth

MARCH 29, 2018

IoT devices, sensors, and telematics have been fast gaining adoption in the insurance sector. Automation of more complex tasks (other than compliance checks or data entry) such as property assessment and personalized consumer interactions over the years has brought frictionless experiences and cut down redundancy. Blockchain.

Insurance 48

Insurance Industry Technology Artificial Inteligence 48

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Comparison between traditional and machine learning approaches to demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Confluent

OCTOBER 10, 2019

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.

IoT 20

IoT Internet Weak Development Team Scalability 20

Cloudera

NOVEMBER 19, 2018

Data is collected from in-ground sensors, handheld measurement devices, satellites, GIS, weather sources, and databases related to plants, biomasses, species’ behaviors, and business. Ensuring environmental compliance and proactively detecting unsafe situations. Optimizing crop rotation within small-scale agricultural operations.

Sustainability 40

Sustainability IoT Compliance Machine Learning 40

Kaseya

MAY 13, 2021

Common cloud functionalities offered by AWS that can help businesses scale and grow include: Networking and content delivery Analytics Migration Database storage Compute power Developer tools Security, identity and compliance Artificial intelligence Customer engagement Internet of Things Desktop and app streaming. Cost Efficiency.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Altexsoft

NOVEMBER 2, 2018

As the world’s logistical requirements continue to become even more complex, big-data driven applications have already stepped in to streamline logistics on a global scale. The digitization of transaction data has become increasingly more secure and widespread. This allows AI to take over menial but technical paperwork.

Industry 87

Industry Artificial Inteligence Blockchain Technical Review 87

Altexsoft

AUGUST 22, 2022

A data fabric is an architecture design presented as an integration and orchestration layer built on top of multiple disjointed data sources like relational databases , data warehouses , data lakes, data marts , IoT , legacy systems, etc., to provide a unified view of all enterprise data.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52

Progress

JULY 19, 2019

is powered by the convergence of emerging IT like the Internet of Things (IoT), artificial intelligence (AI), big data and augmented/virtual reality as well as the broader shift toward delivering proactive, value-based care. This trend, known as Hospital 4.0, million billable hours every year.

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Healthcare Infrastructure 40

Altexsoft

MARCH 14, 2023

Data sources The first component of the MDS architecture is a place, or in most cases, places where your data originates from. Data may come from hundreds (or sometimes thousands) of different sources, including computers, smartphones, websites, social media networks, eCommerce platforms, and IoT devices.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. That augmentation must be in a form attractive to humans while enabling security, compliance, authenticity and auditability. Denis Gagne Trisotech [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and multi-cloud also provide flexible data management, governance, compliance, availability, and durability. Competition between the leading cloud providers will increase, resulting in more services available for infrastructure as a service, integrations and open source, analytics, compliance, and hybrid cloud capabilities.

Cloud 49

Cloud AWS Azure Data Center 49

Actian

JULY 26, 2019

Hybrid infrastructure support: How well does your future warehouse need to support the various current and future operational requirements of your organization by enabling secure access from anywhere, ingesting data in real time, and providing elasticity to increase or decrease compute and storage resources when you need to? Here’s Why , ….

Cloud 40

Cloud Data Analytics Case Study 40

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos. Governance.

Data 46

Data Government Big Data Compliance 46

Gorilla Logic

OCTOBER 2, 2019

For many businesses, IoT has rapidly become a powerful “weapon of mass disruption.” It might not surprise you to learn that, just 26% of all IoT initiatives succeed. . Here are four strategies you can adopt to greatly increase the odds of success for your IoT or IoT-enabled connected enterprise project.

UI/UX 9

UI/UX Artificial Inteligence Enterprise IoT 9

Cloudera

MAY 10, 2018

Click to tweet : Nominations are now open for the sixth annual Cloudera Data Impact Awards! With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. Enterprise machine learning. Grow your business.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41