TechCrunch

OCTOBER 7, 2021

The idea behind using synthetic data sets is that it lets an organization remove the risk of data leaking that might contain personal information or other kinds of sensitive data. They could see that the longer-term issue would be a growing need and priority for data privacy. million to date.

Artificial Inteligence 246

Artificial Inteligence Technical Review Engineering Data 246

Kentik

JANUARY 3, 2018

Looking into Network Monitoring in an IoT enabled network. Whether financial, healthcare, energy, manufacturing, or web enterprises, across all industries, a common goal is digitizing the organization as fast as possible. As part of the movement, organizations are also looking to benefit from the Internet of Things (IoT).

IoT 40

IoT Network Tools Big Data 40

Trigent

AUGUST 26, 2022

Trigent Software is one of those fantastic IT service providers that enable organizations to adopt customer engagement models and advanced digital processes to achieve outstanding end-user experience and results. Working with a custom software development company is imperative when you plan to create an extraordinary digital project.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

O'Reilly Media - Ideas

JANUARY 8, 2019

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training. Burgeoning IoT technologies.

Trends 89

Trends Data Machine Learning Artificial Inteligence 89

TIBCO - Connected Intelligence

MARCH 4, 2021

Now more than ever, planning a smart response and faster recovery from “black swan” events like the global pandemic requires new and deeper business insights enabled by data science. We’re excited to announce that TIBCO Software has been named a Leader in the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms.

Machine Learning 72

Machine Learning Artificial Inteligence Software Analytics 72

Trigent

NOVEMBER 3, 2022

Logistics has been one of those industries where digitalization has been long overdue, although the linchpin holds several value chains together. Thankfully, it’s now a game for new technologies and leveraging structured and unstructured data like no other. Connected logistics devices generate a massive amount of data.

Analytics 52

Analytics Data IoT Trends 52

Hu's Place - HitachiVantara

APRIL 11, 2019

According to the Harvard Business Review , " Cross-industry studies show that on average, less than half of an organization’s structured data is actively used in making decisions—and less than 1% of its unstructured data is analyzed or used at all. REAN Cloud also provides ongoing managed services.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

TIBCO - Connected Intelligence

OCTOBER 11, 2021

One example of an incredible solution fueled by TIBCO Partner-to-Partner is a new IoT solution developed by TIBCO, iSteer, and u-blox. iSteer provides enterprise business solutions to build next-generation organizations by empowering fresh ideas and a strategic perspective to every engagement. Meet the Partners. The Solution in Action.

IoT 49

IoT Wireless Healthcare Technical Review 49

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

DataRobot

MARCH 10, 2022

DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape. The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. With time-series forecasting, organizations can predict future demand and hit their targeted delivery deadlines.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Architecture 52

Architecture Data Storage Machine Learning 52

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. This April, 47Lining, announced its Amazon Web Services (AWS) Industrial Time Series Data Connector Quick Start.

Cloud 78

Cloud Google Cloud Azure AWS 78

CIO

NOVEMBER 29, 2022

Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization.

Organization 246

Organization Technical Review Data Artificial Inteligence 246

Apiumhub

JUNE 22, 2021

In this event you will gain insight into radical ideas that are already proven to provide ROI in some of the most data-driven and innovative companies in the world as well as learn how to accelerate AI-driven transformation. Data Innovation Summit topics. Data Innovation Summit: networking platform.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Hu's Place - HitachiVantara

JANUARY 3, 2019

” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data. 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

The blog finishes by providing concrete examples of how Cloudera customers are delivering strategic functionality like recommendation engines, predictive maintenance, and IoT workflows – all with machine learning at their core. . General Data Protection Regulation (GDPR) and Data Science. This blog has everything!

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. ARMONK, NY - 15 Jun 2015: IBM (NYSE:IBM) today announced a major commitment to Apache®Spark™, potentially the most important new open source project in a decade that is being defined by data.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Cloudera

MAY 10, 2018

We are excited to kick off the 2018 Data Impact Awards ! Since 2012, the Data Impact Awards have showcased how organizations are using Cloudera and the power of data to transform themselves and achieve dramatic results. Click to tweet : Nominations are now open for the sixth annual Cloudera Data Impact Awards!

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

Altexsoft

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. However, they often forget about the fundamental work – data literacy, collection, and infrastructure – that must be done prior to building intelligent data products.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Existek

JANUARY 11, 2022

Cloud solutions have become unquestionably crucial for many industries and businesses. At some point, cloud computing has changed how to streamline business processes and deal with data in general. The tremendous popularity across all industries also explains the high cloud services distribution. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

Coforge

AUGUST 31, 2020

With over 5 Trillion USD in gross insurance premiums, the global Insurance industry is on a digital journey to reshape the future of how it interacts with its customers to provide them with a differentiated experience.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Altexsoft

OCTOBER 26, 2022

So, the question of whether or not organizations need digital transformation is off the table. The CDO responsibilities are mainly as follows but may vary from one organization to another (we’ll talk about them in more detail in a separate paragraph). This can be anything from CRMs to AI-powered chatbots to IoT systems.

CTO 52

CTO Organization Technical Review Culture 52

Apiumhub

SEPTEMBER 20, 2023

October is around the corner, and it’s a prime time for tech enthusiasts, industry leaders, and innovators to come together and explore the latest trends, breakthroughs, and ideas. In this article, we´ll be your guide to the must-attend tech conferences set to unfold in October. For more information, visit the event site here.

Conference 96

Conference Artificial Inteligence UI/UX Machine Learning 96

CIO

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 331

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 331

Cloudera

FEBRUARY 19, 2018

With a modern, top-notch, in-memory columnar database it offers full coverage of all major industries and business processes, from data entry to finance, legal, compliance, production planning, and HR. It’s the de facto choice for all major corporations on the planet to manage their business data. Breaking down data silos.

Data 46

Data Government Big Data Compliance 46

ParkMyCloud

MAY 29, 2019

There is exponential growth in the cloud computing industry, so it’s no surprise that the demand for cloud computing intellect and skills is also increasing, with no slowing down in the foreseeable future. An important role in the cloud management of businesses as demand for data and data analysts increases. IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

ParkMyCloud

JANUARY 17, 2020

or architect) or domain focused certifications, CSPs have numerous options available to help you bring more value to your organization as you keep up with the new business demands and continue to challenge yourself and grow with this world. Azure Data Engineer Associate. Azure IoT Developer Specialty. GCP Certifications.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. It’s referred to as big data, since, for example, just a single complete human genome sequence produces about 200 Gb of raw data.

Big Data 116

Big Data Healthcare Applications Data 116

Altexsoft

FEBRUARY 8, 2021

Managing a supply chain involves organizing and controlling numerous processes. diversity of sales channels, complex structure resulting in siloed data and lack of visibility. More advanced analytics enable conducting preventive or predictive maintenance based on data from IoT devices and various sensors connected to equipment.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Apiumhub

APRIL 5, 2022

With over 1000 practical case studies presented on the past 6 editions and with new geo events in the MEA and the APAC region, the event is a worldwide movement, ushering the community of data, analytics and AI practitioners across functions, companies, industries, sectors, countries and regions to collaborate, benchmark, share and innovate.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

Altexsoft

FEBRUARY 22, 2022

Such an approach requires a great deal of investment since a whole ecosystem has to be created, including IoT sensors installation, acquiring specialized software, creating and maintaining machine learning (ML) models, engaging IT and data science specialists , and so on. Collecting data from connected sensors and external sources.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Data pipeline components. When do you need a data pipeline?

Data 76

Data Storage Analytics Data Center 76

BPM

JANUARY 18, 2019

Regulated and unregulated industries should advance with caution. Allowing organizations to inject knowledge-based decisions services that are traceable, auditable and explainable into the process fabric of their operations. Without BIG CHANGES, many risk-averse organizations will slowly or rapidly disappear into self-imposed oblivion.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

JULY 19, 2022

That’s exactly what every data-driven organization has been trying to find for years,” someone would come up with a new, better solution. Data mesh is another hot trend in the data industry claiming to be able to solve many issues of its predecessors. Four principles of a data mesh architecture.

Architecture 52

Architecture Data Analytics Data Engineering 52