Actian

JUNE 6, 2019

Together, these trends have triggered waves of data and process migration out of the traditional on-premises data center toward a variety of hosted and cloud-based environments. INTEGRATION DOMAINS: Application, data, B2B and process. ENDPOINTS: On-premises devices, the cloud, mobile devices and IoT devices.

IoT 40

IoT B2B Data Center Trends 40

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

CIO

AUGUST 22, 2022

Governments, organizations, and businesses are readily embracing transformation at the edge of mobile networks these days. But, mobile edge, including Multi-access Edge Computing (MEC), requires a new kind of approach to cybersecurity. Further, the mobile edge will be highly adaptive. Palo Alto Networks.

Data Center 266

Data Center How To Mobile Network 266

Ivanti

APRIL 8, 2024

Consider just how many devices, assets and people interact with a company’s IT infrastructure today: Devices (desktops, laptops, mobile and IoT devices – corporate-owned and personal). At its core, an IT risk could manifest as a compromised data center, an individual’s computer vulnerability or a malicious virus.

How To 70

How To Technical Review Policies Software Review 70

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. Interactions in Motion – Mobile devices, such as cellular phones, connected automobiles, and other moveable devices, facilitate most end-user interactions with AI devices.

Artificial Intelligence 40

Artificial Intelligence Artificial Inteligence Data Network 40

Actian

JUNE 24, 2019

There are a great variety of infrastructure configurations, including, for example, on-premise data centers, public cloud, private cloud and SaaS solutions that are involved in a company’s data value stream. Data growth within modern companies is accelerating faster than ever. Flexibility. Speed of Deployment.

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? Operations management systems for managing physical infrastructure and data centers.

Infrastructure 40

Infrastructure Cloud Data Analytics 40

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

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

Actian

JANUARY 28, 2020

If you’re dealing with distributed systems, embedded sensors in machinery, mobile apps, or IoT devices, this topic is for you! In the cloud or some centralized data center? In a data warehouse on-prem or in the cloud or hybrid environment? At the edge of the network in an edge device?

Analytics 8

Analytics Data Data Center Cloud 8

Actian

NOVEMBER 6, 2019

Again, because the data was generated by them and for them, the need to share that data with a business analyst or data scientist back at headquarters let alone line of business would have seemed a bit far-fetched. Respect the legacy, but move towards the future. To learn more, visit www.actian.com.

IoT 8

IoT Software Development Analytics Fashion 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. Interactions in Motion – Mobile devices, such as cellular phones, connected automobiles, and other moveable devices, facilitate most end-user interactions with AI devices.

Artificial Intelligence 8

Artificial Intelligence Artificial Inteligence Data Network 8

Actian

JANUARY 6, 2020

The iPaaS solution you choose should be able to connect to apps, a variety of data sources, APIs, data warehouses and the other components your customers use today. 3: Deploy Anywhere-Support for Connections to Cloud, On-premise and Mobile Resources. 4: Availability and Performance.

IoT 8

IoT Mobile Data Center Data 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

Altexsoft

JULY 1, 2021

PaaS solutions support the development of virtually any type of system, including web applications, mobile applications, big data, AI, and even hardware based solutions like internet of things (IoT) devices. Automated backups— facilitates database management and data storage. Development capabilities. Management.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

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

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

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. Share data across OT, Cloud and IT traditional environments. But instead, focus on what in your actual requirements would justify the switch away from flat files.

Software Development 40

Software Development Software Development Off-The-Shelf 40

Actian

JULY 31, 2019

These systems contain semi-structured and unstructured document data stored in eXtensible Markup Language (XML) and JavaScript Object Notation (JSON) formats. They are generating the entire range of structured and unstructured data, but with two-thirds of it in a time-series format. appeared first on Actian.

Artificial Inteligence 8

Artificial Inteligence Data IoT Technical Review 8