Kentik

JANUARY 3, 2018

Looking into Network Monitoring in an IoT enabled network. As part of the movement, organizations are also looking to benefit from the Internet of Things (IoT). IoT infrastructure represents a broad diversity of technology. So, how can digital businesses cope with these challenges without giving up on IoT?

IoT 40

IoT Network Tools Big Data 40

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. report they have established a data culture 26.5% report they have a data-driven organization 39.7% report they are managing data as a business asset 47.4%

Artificial Inteligence 284

Artificial Inteligence Strategy Data Machine Learning 284

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. Cloud for data infrastructure.

Trends 86

Trends Data Machine Learning Artificial Inteligence 86

Agile Engine

DECEMBER 27, 2023

Case study: leveraging AgileEngine as a data solutions vendor 11. Key takeaways Any organization that operates online and collects data can benefit from a data analytics consultancy, from blockchain and IoT, to healthcare and financial services The market for data analytics globally was valued at $112.8

Big Data 52

Big Data Analytics Data Analysis 52

CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It

Technical Advisors 236

Technical Advisors Artificial Inteligence Generative AI How To 236

Hu's Place - HitachiVantara

APRIL 11, 2019

Few if any data management frameworks are business focused, to not only promote efficient use of data and allocation of resources, but also to curate the data to understand the meaning of the data as well as the technologies that are applied to the data so that data engineers can move and transform the essential data that data consumers need.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

Trigent

AUGUST 26, 2022

Trigent offers end-to-end consulting services, design, development, and managed services across Infrastructure, Cloud, Mobility, BI, Analytics, Product Engineering, Quality Engineering, IoT, Data Engineering, and Artificial Intelligence. Transform your business with Trigent Software.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

ParkMyCloud

MAY 29, 2019

As more and more enterprises drive value from container platforms, infrastructure-as-code solutions, software-defined networking, storage, continuous integration/delivery, and AI, they need people and skills on board with ever more niche expertise and deep technological understanding. IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Hu's Place - HitachiVantara

JANUARY 15, 2019

When the formation of Hitachi Vantara was announced, it was clear that combining Hitachi’s broad expertise in OT (operational technology) with its proven IT product innovations and solutions, would give customers a powerful, collaborative partner, unlike any other company, to address the burgeoning IoT market.

Systems Review 72

Systems Review Storage System Software Review 72

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Apiumhub

SEPTEMBER 20, 2023

Tech Conferences Compass Tech Summit – October 5-6 Compass Tech Summit is a remarkable 5-in-1 tech conference, encompassing topics such as engineering leadership, AI, product management, UX, and data engineering that will take place on October 5-6 at the Hungarian Railway Museum in Budapest, Hungary.

Conference 96

Conference Artificial Inteligence UI/UX Machine Learning 96

Cloudera

NOVEMBER 1, 2022

But supply chain visibility into the millions (or billions) of parts that comprise the hundreds or thousands of devices and weapons systems that make up our military infrastructure is critical to maintaining battle readiness and regulatory compliance. That seems straightforward.

Cloud 83

Cloud Government Storage Analytics 83

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020. Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications.

Cloud 78

Cloud Google Cloud Azure AWS 78

Kentik

MAY 31, 2023

For many enterprises, applications represent only a portion of a much larger reliability mandate, including offices, robotics, hardware, and IoT, and the complex networking, data, and observability infrastructure required to facilitate such a mandate.

Network 52

Network Cloud Load Balancer Firewall 52

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

Altexsoft

MARCH 31, 2020

Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). But how do you move data? You need to have infrastructure, hardware and/or software, that will allow you to do that. You need an efficient data pipeline. What is a data pipeline?

Data 76

Data Storage Analytics Data Center 76

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Data Innovation Summit: networking platform. Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Altexsoft

JUNE 14, 2021

InsureApp is another company that contextualizes behavior and translates it into personalized insurance by combining and interpreting data from smartphone sensors and IoT devices. Invest in data infrastructure. You’ll need a data engineering team for that. How data engineers and data platforms work.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Altexsoft

DECEMBER 9, 2020

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

MARCH 16, 2021

Let’s take a quick look at the big data infrastructure. Big Data infrastructure in healthcare. In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Big data infrastructure in a nutshell.

Big Data 116

Big Data Healthcare Applications Data 116

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). Python is unarguably the most broadly used programming language throughout the data science community. IoT Empowered Assembly Lines: Predictive Maintenance. Native Python Support for Snowpark.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

ParkMyCloud

DECEMBER 11, 2020

Coursera includes a number of free courses including topics in Machine Learning, Architecting, Data Engineering, Developing Applications, and the list goes on. . In conjunction with Coursera, Google Cloud offers hands-on training with specialized labs available via Qwiklabs , a learning lab environment for developers. Plural Sight.

Google Cloud 97

Google Cloud Training Resources Cloud 97

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. Predictive maintenance: building custom data infrastructure.

Software Review 52

Software Review Technical Review Software Technology 52

Datavail

JUNE 15, 2023

“It unifies the business model across all the different types of analytics workloads, whether they’re SQL, machine learning – whatever job you want, you can use the same compute infrastructure. Data Factory : A data integration tool with 150+ connectors to cloud and on-premises data sources.

Azure 52

Azure Analytics Storage Generative AI 52

Hu's Place - HitachiVantara

JANUARY 3, 2019

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Hu's Place - HitachiVantara

MARCH 18, 2019

City of Istanbul Governorship: Safe, Smart Campus The challenge was to secure the governorship campus and include multiple existing video and IoT systems. Pentaho unlocked mapR to enable data science and enabled business users to operationalize data through self-service.

Healthcare 61

Healthcare Tourism Systems Review Energy 61

Altexsoft

JULY 23, 2020

Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. In other words, they dedicate a quarter of their efforts to infrastructure — instead of doing what they can do best. MLOps lies at the confluence of ML, data engineering, and DevOps. Data validation.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Altexsoft

OCTOBER 2, 2020

Data architecture is a starting point for any data management model. Fitting into wider enterprise architecture, it outlines how data is collected, integrated, transformed, stored, and used. A data architect focuses on building a robust infrastructure so that data brings business value.

Database Administration 64

Database Administration Strategy Data Technical Review 64

TIBCO - Connected Intelligence

MARCH 5, 2020

Time-to-solution expectations for new data-driven solutions are even faster – With better data-driven solutions often the competitive battlefield, victory goes to the swift.

Technology 42

Technology Games Trends IoT 42

TIBCO - Connected Intelligence

APRIL 15, 2021

So get used to the fact that the data you need is going to be everywhere and get used everywhere – your cloud providers, your computer rooms, on desktops and mobile phones, within IoT-connected devices, and at third-parties including your customers, vendors, partners, and more. Real-time data’s importance is soaring.

Analytics 41

Analytics Development Team Review Technical Review Data 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. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

OCTOBER 26, 2022

This is a corporate executive who is in charge of implementing and managing information technology (IT) infrastructure and making sure the entire IT department works efficiently. Today, the CIO’s focus is primarily on a company’s IT architecture and infrastructure. Attract talent. are important for the CDO to do their job.

CTO 52

CTO Organization Technical Review Culture 52

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. 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

Altexsoft

OCTOBER 24, 2019

An enterprise data warehouse is a unified repository for all corporate business data ever occurring in the organization. Reflects the source data. EDW sources data from its original storages like Google Analytics, CRMs, IoT devices, whatever these can be. Stores structured data. Subject-oriented data.

Architecture 50

Architecture Enterprise Data Technical Review 50

Kentik

DECEMBER 15, 2016

Needless to say, this call-out by analysts Nolan Greene and Rohit Mehra reflects well on what we’ve been doing to advance the state of the art in areas such as DDoS protection, infrastructure visibility, performance monitoring, and peering analytics. So how does Kentik get around the limitations of appliances?

UI/UX 40

UI/UX Innovation Big Data Network 40

Altexsoft

JANUARY 22, 2020

With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. As a result, it became possible to provide real-time analytics by processing streamed data. Batch processing.

Analytics 20

Analytics Data IoT Analysis 20

Kentik

JUNE 4, 2019

By correlating an ever-wider set of traffic data into a single, instantly-queryable dataset (the Kentik Data Engine, aka KDE), we’re able to generate technical and business insights with direct, powerful relevance to your network operations. To what extent does it host content-serving cache servers on its own infrastructure?

Video 56

Video Network Internet Groups 56