Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 96

Analytics Network Innovation IoT 96

CIO

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field.

Security 363

Security Innovation Artificial Inteligence Weak Development Team 363

CTOvision

FEBRUARY 17, 2015

From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Opens Data Refinery to Amazon Redshift and Cloudera Impala; Pushes the Limits of Analytics Through Blended, Governed Data Delivery On Demand. Big Data Analytics with Cloudera Impala. “As

Big Data 109

Big Data Analytics AWS Data 109

O'Reilly Media - Data

AUGUST 16, 2018

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. Deployment (including cloud / as a service options).

Big Data 124

Big Data Data Storage Azure 124

Cloudera

AUGUST 28, 2020

The real opportunity for 5G however is going to be on the B2B side, IoT and mission-critical applications will benefit hugely. What that means is that this creates new revenue opportunities through IoT case uses and new services. 5G and IoT are going to drive an explosion in data.

IoT 112

IoT Industry Machine Learning Artificial Inteligence 112

OTS Solutions

JUNE 3, 2022

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. Modern technical advancements in healthcare have made it possible to quickly handle critical medical data, medical records, pharmaceutical orders, and other data. Twins in the Cloud.

Healthcare 345

Healthcare Artificial Inteligence Trends Artificial Intelligence 345

CTOvision

JUNE 3, 2015

There’s a closer relationship between big data and the IoT than most people realize – almost as if they were made for one another. Today, we’re going to talk about the Internet of Things and Big Data. Believe it or not, IoT is, at its core, a fairly simple concept. How IoT Will Drive Big Data Adoption.

Big Data 123

Big Data Internet Technical Review IoT 123

CTOvision

NOVEMBER 9, 2015

On November 12th join Hortonworks, HP, SAP, and American Digital for a webinar discussion on how to gain a competitive advantage and transform your business with Big Data. This webinar will highlight how you can turn raw data into insight - the insight that boosts your top and bottom lines.

Big Data 86

Big Data Data Automotive IoT 86

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. .

Analytics 109

Analytics Open Source Government Machine Learning 109

ProCal Tech

SEPTEMBER 14, 2022

9 Benefits of using IOT Technology Home September 15, 2022 Latest Technology In this article by Procal, we will be discussing briefly how IoT benefits businesses. Also, IoT devices are very helpful to manage within each department and throughout the business structure. So let’s get started.

IoT 52

IoT Technical Review Technology Telecommunications 52

OTS Solutions

DECEMBER 12, 2023

IoT The advent of the Internet of Things (IoT) has brought about unprecedented opportunities and advancements in various sectors, with the manufacturing industry being no exception. By harnessing the power of big data analytics, the manufacturing industry has gained a competitive edge in today’s data-driven world.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

CTOvision

AUGUST 13, 2016

We have been tracking Amazon for years, but as a reference point consider that in November 2006 BusinessWeek ran a cover story with the title "Jeff Bezos' Risky Bet" where the concept of cloud computing as a business model disruptor was catapulted into the mainstream. They call this feature Amazon IoT.

Artificial Inteligence 64

Artificial Inteligence Artificial Intelligence IoT AWS 64

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Why would you move IoT data to the cloud?

IoT 45

IoT Cloud Data Analytics 45

Cloudera

FEBRUARY 12, 2018

What exactly can we expect for IoT in 2018, and how can you improve your organization with connected devices? Dave, who began his career in radio, shared with John how Cloudera uses its expertise working with organizations around the globe to help government agencies harness the sensor data from IoT systems.

IoT 40

IoT Big Data Data Government 40

Kaseya

MAY 13, 2021

Fueled by the shift to remote and hybrid work environments and the need to digitally transform business during the global pandemic, the adoption of cloud computing has reached an all-time high. Needless to say, cloud services are in high demand today. But, what exactly is a cloud service provider? What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Protera

NOVEMBER 8, 2022

But utility companies that want to stay ahead in the future have no choice but to do just that — transform — and cloud modernization is an essential piece to the puzzle. Cloud modernization is an investment and must be executed the right way to avoid disruption. 5 Reasons Utilities Companies Should Modernize with Cloud. #1:

Cloud 52

Cloud IoT Agile Technical Review 52

Datavail

APRIL 6, 2021

Cloud computing has gone from being a cutting-edge technology to a well-established best practice for businesses of all sizes and industries. According to Flexera’s 2020 State of the Cloud Report , 98 percent of organizations are now using at least one public or private cloud. Oracle ERP—Financials Cloud.

Cloud 97

Cloud Disaster Recovery Artificial Intelligence Artificial Inteligence 97

Apiumhub

AUGUST 20, 2018

The key to efficient, integrous data analysis is a team-based intelligent analytical approach. This interactive approach leads to incremental evolution, and though we are talking about analysing big data, can be applied in any team or to any project. This means sorting through the data with the help of a data analyst.

Big Data 47

Big Data Tools Data Artificial Inteligence 47

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Analytics 54

Analytics Trends Data Big Data 54

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes believes it is an imperative for CIOs to view cloud computing as a critical element of their competitiveness. Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020.

Cloud 78

Cloud Google Cloud Azure AWS 78

CIO

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . But how did the hybrid cloud come to dominate the data sector?

Cloud 87

Cloud Data Architecture Virtualization 87

ParkMyCloud

DECEMBER 11, 2020

If you’re looking to break into the cloud computing space, or just continue growing your skills and knowledge, there are an abundance of resources out there to help you get started, including free Google Cloud training. Google Cloud Free Program. As a new Google Cloud customer, you can get started with a 90-day free trial.

Google Cloud 97

Google Cloud Training Resources Cloud 97

TechCrunch

AUGUST 31, 2021

The company says it will use the funds to grow its team from 60 employees to around 100 by the end of 2021 and increase the deployment of its grid analytics tools. . While Google has big business muscle behind it, Kevala has been working in this space since 2014 and is potentially poised to become an industry leader. .

Energy 227

Energy Infrastructure Tools Systems Review 227

TechCrunch

AUGUST 24, 2022

In 2020, Chinese startup Zilliz — which builds cloud-native software to process data for AI applications and unstructured data analytics, and is the creator of Milvus , the popular open source vector database for similarity searches — raised $43 million to scale its business and prep the company to make a move into the U.S.

Open Source 199

Open Source Artificial Inteligence Comparison B2C 199

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. Modernize applications and migrate workloads to the cloud where they can be worked on from anywhere.

Software Review 94

Software Review Technical Review Software Development Team Review 94

OTS Solutions

DECEMBER 22, 2023

Overview of Digital Transformation Digital transformation means the operational, cultural, and organizational changes within an organization’s ecosystem with the help of modern technologies such as cloud computing, the Internet of Things, artificial intelligence, machine learning, mobile apps, etc. Digital Transformation Technologies 1.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

TIBCO - Connected Intelligence

MAY 18, 2021

Interested in learning more about today’s top analytics and data management trends in manufacturing? The main topic of discussion for manufacturers at TAF 2021 will revolve around the idea of “ Putting the Connected Digital Factory into Practice with Hyperconverged Analytics.”. Hear from Keynote Speakers.

Analytics 49

Analytics Artificial Inteligence Virtualization Artificial Intelligence 49

Perficient

NOVEMBER 2, 2023

The North Star has changed for OEMs from manufacturing to software and big data plays. The Internet of Things (IoT) is making us smarter and changing everything, including altering our preferences, lifestyles, and priorities. This data is then analyzed to detect pre-failure conditions and alert the driver in advance.

Automotive 52

Automotive IoT Big Data 3D 52

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40

Kentik

FEBRUARY 22, 2018

[vc_row][vc_column][vc_column_text] The Internet of Things (IoT) represents a massive threat to network infrastructure as already seen in widely publicized IoT-based DDoS attacks. The KrebsOnSecurity website came under a sustained DDoS attack in September 2016 from more than 175,000 IoT devices.

IoT 40

IoT Malware Big Data Internet 40

Capgemini

MARCH 16, 2022

technologies (AI & analytics, cloud and edge computing, cybersecurity, 5G, IoT, and data engineering) are converging at speed. Big data management and analytics : The implementation of AI and predictive analytics, enables the automation of routine tasks allowing humans to focus on making higher-level decisions.

Industry 98

Industry IoT Technical Review Automotive 98

Capgemini

JUNE 24, 2020

In addition, you are also spending millions of dollars to enable these use cases by transforming the underlying data and moving it to the cloud. Executive Vice President, Data & Insights. Industry Specialization: Manufacturing, Hi-tech, Consumer Products, Retail, and Logistics.

Programming 52

Programming Artificial Intelligence Artificial Inteligence IoT 52

Altexsoft

AUGUST 31, 2020

The data is already being stored digitally: more than 95 percent of health facilities report implementing Electronic Health Records (EHR) systems. Large part of data comes from widely adopted IoT devices used in 60 percent of hospitals in the US today. Analytics application cases in healthcare.

Healthcare 72

Healthcare Analytics Examples Data 72

Xicom

JANUARY 4, 2023

Top 10 Android app development trends 1) Artificial Intelligence 2) 5G Technology 3) Blockchain Technology 4) Augmented Reality and Virtual Reality 5) Internet of Things & Cloud 6) CyberSecurity 7) Wearables applications 8) Chatbots 9) Cross-platform development 10) Big Data Conclusion FAQs. 1) Artificial Intelligence.

Trends 59

Trends Artificial Inteligence Development Artificial Intelligence 59

OTS Solutions

AUGUST 30, 2018

2018 is a year where you are going to witness a change in enterprise mobile apps development, thanks to the current trends in hybrid cloud, container infrastructure, blockchain, and DevOps. Mobile app as the foundation of IoT. We can comfortably say that mobile apps have become the catalyst in the rise of IoT.

Mobile 100

Mobile Enterprise Strategy Blockchain 100

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Pulsar will be covered in a popular new tutorial at Strata Data London, “Architecture and Algorithms for End-to-End Streaming Data Processing”.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111