Perficient

MARCH 3, 2023

This offering can be either on an enterprise data center or hosted inside an AWS cloud platform taking advantage of custom automation and seamless integration with customer enterprise applications with their custom security policies and taking advantage of AWS-provided computing, resource, and tools cost. You can download it here.

AWS 64

AWS Technical Review Load Balancer Cloud 64

Cloudera

AUGUST 22, 2021

And yet, we are only barely scratching the surface of what we can do with newer spaces like Internet of Things (IoT), 5G and Machine Learning (ML)/Artificial Intelligence (AI) which are enabled by cloud. Cloud-enabled use cases like IoT and ML/AI are being used at scale by customers across APAC. . Cloud is ultimately just a vehicle.

Cloud 104

Cloud Artificial Inteligence CTO Coach Strategy 104

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.

Artificial Inteligence 40

Artificial Inteligence IoT Artificial Intelligence Mobile 40

Actian

JUNE 24, 2019

The data warehouse is very important to the support of a company’s data consumption needs and does so by providing a set of capabilities for aggregating data across multiple sources, performing large-scale analytics and refinement processes and making data available to consuming users and IT applications.

Data 40

Data Data Center Sustainability Analytics 40

Actian

FEBRUARY 13, 2020

Does your company have a real-time connected data warehouse where you can aggregate data flowing in from all of your IT systems together with streaming data from IoT, mobile, and SaaS services? Can you easily connect your on-premise, cloud, and multi-cloud systems to enable centralized analytics?

Infrastructure 40

Infrastructure Cloud Data Analytics 40

CIO

JULY 17, 2023

Dickson, who joined the Wisconsin-based company in 2020, has launched PowerInsights, a homegrown digital platform that employs IoT and AI to deliver a geospatial visualization of Generac’s installed base of generators, as well as insights into sales opportunities.

Business Transformation 246

Business Transformation Data IoT Azure 246

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

Hu's Place - HitachiVantara

APRIL 23, 2019

When she joined, what was then, Hitachi Data Systems-Denmark, we were a solid storage company with 15 -20% market share. Within 5 years, under her leadership, HDS Denmark was able to grow market share to 45-50% and became the number 1 storage vendor in the Danish market. With the help of her Hitachi Manager, she applied to Bo?azici

Disaster Recovery 67

Disaster Recovery Technical Review Storage Hotels 67

Actian

SEPTEMBER 12, 2019

AI algorithms are also migrating from centralized data centers (both on-premise and in the cloud) to distributed devices on the edge of networks. Actian’s Zen It Edge database provides an embeddable, a nano footprint persistent data store for smart devices that are easily connected Actian’s Cloud and on-premise analytic databases.

Artificial Intelligence 40

Artificial Intelligence Artificial Inteligence Data Network 40

Actian

JANUARY 28, 2020

Selecting the best location for your analytics compute poses an interesting dilemma leading to thoughtful debate in some companies while others don’t even consider the topic. If you’re dealing with distributed systems, embedded sensors in machinery, mobile apps, or IoT devices, this topic is for you!

Analytics 8

Analytics Data Data Center Cloud 8

CIO

DECEMBER 12, 2022

IT complexity, seen in spiraling IT infrastructure costs, multi-cloud frameworks that require larger teams of software engineers, the proliferation of data capture and analytics, and overlapping cybersecurity applications, is the hallmark—and also the bane—of the modern enterprise.

Software Review 263

Software Review Fractional CTO Strategy Software 263

CIO

SEPTEMBER 1, 2023

Until recently, software-defined networking (SDN) technologies have been limited to use in data centers — not manufacturing floors. Our concept was to use data center technologies and bring them to the manufacturing floor,” says Rob Colby, project lead. blueprint, unveiled in 2021, the Santa Clara, Calif.-based

WAN 325

WAN Data Center IoT Network 325

CIO

AUGUST 23, 2023

With our decentralized structure, we had a lot of data centers and hosting providers. IoT in the production lines creates a lot of data. Where do we store and use that data? In one of our businesses, we’ve begun to take manufacturing data almost real-time and move it into our cloud analytics platform.

Innovation 219

Innovation Architecture Strategy Backup 219

Actian

NOVEMBER 26, 2019

Conceptually, it is easy to understand why you would want to move to a cloud data warehouse. Reduce the capital outlay of on-premise data center resources. The diversity in data connections across technologies and the hybrid nature of operating environments each bring their own set of challenges to the IT staff in your company.

IoT 8

IoT Data Center Cloud Analytics 8

CIO

DECEMBER 13, 2022

Cassandra’s early days In the mid-2000s, engineers at young, fast-growing Facebook had a problem: how could they store and access the mushrooming data created by Messenger, the platform that enabled users of the social networking site to communicate with one another? By 2013, most of Netflix’s data was housed in Cassandra.

Disaster Recovery 147

Disaster Recovery Open Source Data Center Scalability 147

Actian

NOVEMBER 6, 2019

Recently, my colleague here in Actian Product Marketing, Pradeep Bhanot, wrote a great blog on Data Historians in which he called for their retirement in favor of more modern databases to support time-series data processing and analytics. Thus, stand-alone file systems without network data transfer were good enough.

IoT 8

IoT Software Development Analytics Fashion 8

Actian

NOVEMBER 11, 2019

The size and constituency are only part of the problem, indicators of what the traditional database was designed to do and run on, namely as a relational database running in a data center, supporting either transactional operations on data in real-time or analytical operations or larger sets of data in hindsight.

Database Administration 8

Database Administration IoT Comparison Analytics 8

Actian

SEPTEMBER 12, 2019

AI algorithms are also migrating from centralized data centers (both on-premise and in the cloud) to distributed devices on the edge of networks. Actian’s Zen It Edge database provides an embeddable, a nano footprint persistent data store for smart devices that are easily connected Actian’s Cloud and on-premise analytic databases.

Artificial Intelligence 8

Artificial Intelligence Artificial Inteligence Data Network 8

Tenable

APRIL 24, 2023

During KubeCon 2022 North America Ayse Kaya, Head of Strategic Insights and Analytics at Slim.AI, started the keynote “ What We Learned Dissecting the World’s Most Popular Containers ” with the question, “What can be more complex than biological systems, except maybe Kubernetes?”

Software Review 52

Software Review Policies Systems Review Technical Review 52

Actian

NOVEMBER 25, 2019

Modern Edge Intelligence needs support for in-line analytics based on more than just the locally sourced data streams. Going forward, there will be multiple data streams and data types with baseline patterns that are referenced, correlated, with machine learning algorithms applied. To learn more, visit www.actian.com.

Artificial Inteligence 40

Artificial Inteligence Machine Learning Off-The-Shelf Systems Review 40

CTOvision

DECEMBER 5, 2014

IntelliDyne’s ITAC is a thought leadership council focused on promoting innovation in Enterprise Infrastructure Management and technology solutions in government, comprised of IntelliDyne senior technologists and enterprise architects. By Katie Kennedy. Learn more at www.intellidyne-llc.com. Related articles.

Government 105

Government Infrastructure Enterprise Data Center 105

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 341

Analytics Artificial Inteligence Artificial Intelligence Hardware 341

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 ”! Source: Paul Brebner).

Technical Review 36

Technical Review Technology Report Open Source 36

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. Data management support for all roles involved with data processing and analytics. Share data across OT, Cloud and IT traditional environments.

Software Development 40

Software Development Software Development Off-The-Shelf 40

Actian

DECEMBER 18, 2019

New technologies, strategies and trends are taking shape almost daily across analytics, cloud, UX and IoT. In 2020, we’re going to continue to see data re-shaping customer experience, multiple business functions, as well as the analytics infrastructures on which these systems operate.

Analytics 40

Analytics Trends UI/UX Data 40

Capgemini

JUNE 11, 2020

Since its early days, IIoT platforms have come a long way and the feature set is challenging the traditional operational technology (OT) stack with flexible options for data acquisition, storage, and analytics, as well as simplified development and edge-computing capabilities.

Energy 52

Energy Company Azure IoT 52

Actian

JULY 31, 2019

Primarily, Relational DataBase Management Systems (RDBMS) managed the needs of these systems and eventually evolved into data warehouses, storing and administering Online Analytical Processing (OLAP) for historical data analysis from various companies, such as Teradata, IBM, SAP, and Oracle. appeared first on Actian.

Artificial Inteligence 8

Artificial Inteligence Data IoT Technical Review 8

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