Dell EMC

MARCH 30, 2020

The data center merging with the factory floor Fast forward to today. The fourth industrial revolution is well underway, driven by IoT, edge computing, cloud and big data. And once again, manufacturers. READ MORE.

Industry 55

Industry IoT Data Center Big Data 55

Cloudera

JANUARY 26, 2022

In 1991, the World Wide Web (WWW) launched, and distributed computing in the form of the client-server model started to take shape. Big Data” became a topic of conversations and the term “Cloud” was coined. . So private clouds, or on-premises data centers, became more suitable for sensitive data.

Cloud 83

Cloud Data Architecture Virtualization 83

Kaseya

MAY 13, 2021

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. As compared to typical data centers, Google Cloud data centers run on relatively low energy and utilize 100% renewable energy wherever available.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Private clouds are not simply existing data centers running virtualized, legacy workloads. 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.

Cloud 78

Cloud Google Cloud Azure AWS 78

Actian

FEBRUARY 24, 2020

Still, the underlying premise is the same – in a post-digital transformation environment, companies need the ability to leverage a wide variety of technology components to support their business: IoT, cloud services, mobile devices, SaaS software, and traditional IT systems. RPA vendors also have a data challenge.

Artificial Inteligence 40

Artificial Inteligence IoT Artificial Intelligence Mobile 40

Capgemini

APRIL 21, 2020

My recent blog posts have described the changing nature of IT infrastructure, the demise of the on-premises data center, and the effects on traditional IT and I&O organizations. There’s another interesting aspect to consider: How does the digital transformation era impact channels organizations serving traditional IT organizations?

Technical Review 52

Technical Review Innovation Software Review Development Team Review 52

Perficient

MARCH 3, 2023

Finally, you can further optimize the content experience with Adobe and AWS Solutions and service such as: Adobe Sensei, an industry-leading AI, machine learning solution to cut the time spent on tedious tasks like tagging, cropping, and adapting assets for each channel and device. For more information on this please read this article.

AWS 64

AWS Technical Review Load Balancer Cloud 64

CTOvision

DECEMBER 30, 2015

For 2016, expect more IT departments to be buying these small form factor cloud in a box data centers. Artificial Intelligence : Science fiction has brought this term to be a household word, but few realize the reality of this field of computing. The home will be a major avenue for IoT advances.

Technical Review 62

Technical Review Trends Report Enterprise 62

Altexsoft

MARCH 30, 2020

Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. Similar to preventive maintenance, PdM is a proactive approach to servicing of machines.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

d2iq

JANUARY 23, 2023

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).As

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Actian

FEBRUARY 3, 2020

The rapid growth and adoption of commercially available cloud services meant that companies could forgo expensive hardware upgrades and the overhead maintenance costs of data centers and instead pay for IT resources and capacity based on utilization. Are you ready to support data analysis augmented by Machine Learning and AI?

Marketing 40

Marketing Data Analytics Cloud 40

Altexsoft

JULY 18, 2023

On the other hand, the term spark often brings to mind a tiny particle that, despite its size, can start a large fire. These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. How data engineering works in a nutshell.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Cloudera

SEPTEMBER 4, 2020

The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3. To continue where we left off, how are ML and IoT influencing the Telecom sector, and how is Cloudera supporting this industry evolution? When it comes to IoT, there are a number of exciting use cases that Cloudera is helping to make possible.

IoT 92

IoT Industry Machine Learning Artificial Inteligence 92

Mobilunity

MAY 20, 2021

There are 175 different services available, and it also incorporates AI, machine learning, and 5G. The system is known for great data analysis tools, AI, machine learning, scalability, existing third-party services, and pre-made solutions. And it is partnering with Azure to combine data centers.

Engineering 52

Engineering Cloud Google Cloud Azure 52

CTOvision

JANUARY 21, 2017

Trend #2—Internet of Things (IoT). IoT, long on the hype list for consumer technology, has been a reality on manufacturing floors, oil and gas rigs and even the fishing industry. IoT monitor every step of the process. Philips Healthcare is leading the IoT charge. Trend #3—Artificial Intelligence.

Artificial Inteligence 85

Artificial Inteligence Trends IoT Machine Learning 85

Altexsoft

JANUARY 22, 2020

Similar to a real world stream of water, continuous transition of data received the name streaming , and now it exists in different forms. Media streaming is one of them, but it’s only a visible part of an iceberg where data streaming is used. As a result, it became possible to provide real-time analytics by processing streamed data.

Analytics 20

Analytics Data IoT Analysis 20

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. An Open, Modular Architecture for IoT.

IoT 47

IoT Architecture Machine Learning Artificial Inteligence 47

Altexsoft

JULY 1, 2021

They also provide unique capabilities that would be very difficult to set up in house, such as large-scale database infrastructure, artificial intelligence (AI) and desktop virtualization. Microsoft Azure Machine Learning (Azure ML). Development capabilities. Management. AI as a Service. What Is AIaaS?

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data 98

Big Data Tools Data Storage 98

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. As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Existek

JANUARY 11, 2022

For example, they considerably revised the cloud strategy due to the need to transform the delivery model from PaaS to IaaS, thus renaming Windows Azure to Microsoft Azure in 2014. . Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT.

Azure 52

Azure AWS Cloud How To 52

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

CTOvision

DECEMBER 15, 2014

Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. Although big data doesn’t refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data.

Security 120

Security Government Technology Artificial Intelligence 120

Cloudera

JANUARY 3, 2019

This year, we’re making a big one. On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. It’s clear today that the data warehouse industry is undergoing a major transformation.

Machine Learning 74

Machine Learning Artificial Inteligence IoT Data Center 74

Altexsoft

JULY 9, 2021

Smart technologies — like autonomous vehicles, intelligent buildings, and IIoT or industry 4.0 manufacturing — generate so much data that it causes traffic jams on the route to the servers. Edge computing is a distributed IT infrastructure that brings processing of raw data close to its sources, primarily — IoT sensors.

IoT 59

IoT Azure Hardware USP 59

Cloudera

JUNE 25, 2019

This demo highlighted powerful capabilities like Adaptive Scaling, Cloud Bursting, and Intelligent Migration that make running data management, data warehousing, and machine learning across public clouds and enterprise data centers easier, faster and safer.

Enterprise 86

Enterprise Cloud Data Data Center 86

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. If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid clouds become a battleground with Amazon Outpost delivering an on-premise server rack to deliver AWS cloud, and IBM acquiring Redhat to increase their relevance in the data center. HNAS provides a transparent data migrator for block and file data to private and public clouds and integrates with HCP object store.

Cloud 49

Cloud AWS Azure Data Center 49

Cloudera

OCTOBER 3, 2018

In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market. We believed then, and we still believe today, that the rest of the world would need to capture, store, manage and analyze data at massive scale. Their current workloads are safe.

Software Review 75

Software Review Open Source Technical Review IoT 75

Getronics

MAY 24, 2019

IT will deliver differentiated business models and capabilities to patients and internal healthcare users. All this will be achieved through a modern data center with automated service delivery and transformed IT operations that utilize multi-cloud integration. Precision Medicine.

Healthcare 40

Healthcare Technology Firewall Malware 40

Actian

JANUARY 24, 2020

This list is a function of where we see use cases evolving for embedded Edge data management in the mobile, IoT, and complex intelligent equipment spaces. Handle Big Data at the Edge. Share data across OT, Cloud and IT traditional environments.

Software Development 40

Software Development Software Development Off-The-Shelf 40

CIO

JANUARY 20, 2023

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need.

Analytics 342

Analytics Artificial Inteligence Artificial Intelligence Hardware 342

Instaclustr

OCTOBER 14, 2019

The conference spreads over 4 days next week with a great choice of presentations in multiple tracks including: Cassandra, IoT, Geospatial, Streaming, Machine Learning, and Observability! IoT, geospatial, ML, streaming, etc.), The solution is the Akkio data locality layer, and “ sharding the shards ”!

Technical Review 36

Technical Review Technology Report Open Source 36

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Analytics maturity model. Predictive analytics.

Analytics 102

Analytics Technical Review Technology Applications 102

Cloudera

MAY 18, 2021

Finally, IaaS deployments required substantial manual effort for configuration and ongoing management that, in a way, accentuated the complexities that clients faced deploying legacy Hadoop implementations in the data center. Machine Learning Prototypes. Policy-Driven Cloud Storage Permissions. Not available. Conclusion.

Cloud 84

Cloud Technical Review Storage Backup 84