d2iq

JUNE 23, 2022

Like the AWS Summits in Atlanta and Washington DC, the big trends AWS is highlighting at the New York Summit are artificial intelligence (AI), machine learning (ML), analytics, business intelligence, modern applications based on containers, and the Internet of Things (IoT).These

AWS 78

AWS Artificial Inteligence DevOps Guidelines 78

Xebia

JANUARY 19, 2023

The data engineer is also expected to create agile data architectures that evolve as new trends emerge. A data engineer should: Know how to communicate with non-technical and technical people. Understand the cultural foundations of Agile, DevOps, and DataOps. Lastly, do not forget to back up your data.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Capgemini

MAY 20, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. M ost spend more than 70% of the data and analytics budget o n data warehousing, data lake s, management, and storage.

Infrastructure 64

Infrastructure Data Retail Analytics 64

OTS Solutions

DECEMBER 4, 2023

It provides all the benefits of a public cloud, such as scalability, virtualization, and self-service, but with enhanced security and control as it is operated on-premises or within a third-party data center. It works by virtualizing resources such as servers, storage, and networking within the organization’s data centers.

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

Cloudera

JANUARY 26, 2022

As cloud offerings grew, so did the demand for higher agility, speed, and cost efficiency. So private clouds, or on-premises data centers, became more suitable for sensitive data. In 2008, Cloudera was born. It became clear that not everything can be hosted in a public cloud for multiple reasons, including security.

Cloud 83

Cloud Data Architecture Virtualization 83

Cloudera

AUGUST 22, 2021

I studied Commerce majoring in Economics at university and when I first started in the software industry, cloud was a much less ubiquitous term than it is today but the economics of using cloud, reducing inefficient spend, removing the barrier for innovation and agility, and the flexibility it gives organisations made so much sense to me. .

Cloud 103

Cloud Artificial Inteligence CTO Coach Strategy 103

OTS Solutions

JUNE 16, 2023

Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility. Refactored app applications are easier to maintain and modify than legacy systems, reducing the cost of operations, enhancing agility, and boosting productivity.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Hu's Place - HitachiVantara

MARCH 4, 2019

Ten years ago, in 2009, Cisco introduced the Unified Computing System ( UCS ), a data center server computer product line composed of computing hardware, virtualization support, switching fabric, storage, and management software. Data protection is complicated.

Infrastructure 49

Infrastructure Artificial Inteligence Storage Data Center 49

Palo Alto Networks

FEBRUARY 19, 2021

These organizations are looking beyond short-term benefits and investing in a cloud foundation to increase competitiveness, so as to accommodate technologies such as artificial intelligence (AI), advanced data analytics, IoT and edge computing. Best Practices to Adopt a Secure Cloud Strategy.

Enterprise 76

Enterprise Cloud Serverless Artificial Intelligence 76

d2iq

MARCH 13, 2023

Reinventing Retail as Entertainment Retailers are creating experiential shopping experiences using a host of leading-edge technologies, including AI, augmented reality, virtual reality, edge/IoT, streaming video, mobile apps, touchscreens, giant displays, robotics, 5G networks, holograms, and 3-D printing.

Retail 72

Retail Artificial Inteligence Virtualization Artificial Intelligence 72

OTS Solutions

JUNE 16, 2023

Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility. Refactored app applications are easier to maintain and modify than legacy systems, reducing the cost of operations, enhancing agility, and boosting productivity.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Trigent

MARCH 24, 2021

Integrating AI into IT operations or AIOps has empowered IT teams to perform complex tasks with ease and resolve agility issues in complex settings. AIOps are multi-layered technology platforms that collate data from multiple tools and devices within the IT environment to spot and resolve real-time issues while providing historical analytics.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Trigent

MARCH 24, 2021

Integrating AI into IT operations or AIOps has empowered IT teams to perform complex tasks with ease and resolve agility issues in complex settings. AIOps are multi-layered technology platforms that collate data from multiple tools and devices within the IT environment to spot and resolve real-time issues while providing historical analytics.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

Enterprise.nxt

MARCH 7, 2019

Real-time analytical power for things like automation, prediction, and control means more agility and business value. Transformational opportunities powered by edge computing are almost limitless. Here’s a quick guide on why you must expand your digital foundation to the edge and where to start.

Agile 97

Agile Analytics Data Center IoT 97

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources.

Cloud 49

Cloud AWS Azure Data Center 49

Trigent

APRIL 14, 2022

With upcoming 5G rollouts, massive IoT networks, mmWave, and network slicing requirements, their cloud and edge capabilities will be of an entirely different scale. When Ducati, a global automotive giant, undertook a data center modernization project, they expected gains, but that was not how it turned out.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

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

TIBCO - Connected Intelligence

JANUARY 25, 2021

The difference between the two has gotten even less concrete with the rise of Industrial IoT (IIoT) and the big push with Industry 4.0 You can also learn more about achieving agility in manufacturing with the five core principles for a connected factory by watching this webinar. methodologies. In short, IT and OT are converging.

IoT 32

IoT Industry Agile Cloud 32

Cloudera

AUGUST 30, 2018

Consider the following practices that, until recently, were relegated to the R&D department: Data-driven decision making – the collection and analysis of data to guide decisions that improve success. Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g.

Enterprise 40

Enterprise Machine Learning Artificial Inteligence Budget 40

Actian

FEBRUARY 28, 2019

It gives you a scalable set of tools to manage all your data connections, sync data in multiple systems, simplify integrated user environment (IDE) to mask the complexity of your underlying environment and enable your developers to focus on creating the features and data insights to drive your business forward.

IoT 40

IoT Scalability Cloud Infrastructure 40

BPM

JANUARY 18, 2019

Continuing the journey toward true business agility initiated in the software realm. Business Architecture is growing as a movement, but it will only find success if it is able to provide an agile method for business transformation. Max Pucher Isis Papyrus [link]. All of them virtually not true. Brian Reale ProcessMaker [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Zayo

JANUARY 30, 2019

With the proliferation of new technology, including AI, IoT, 5G and blockchain, enterprises have more data and workloads to manage than ever before. These three major players offer enterprises agility, flexibility and lower capital expense. Trend #3: Enterprises will continue to turn to AWS, Azure and GCP.

Trends 40

Trends Cloud Wireless Azure 40

Altexsoft

JUNE 25, 2019

Contrarily, a DW uses simple queries with few tables to improve performance and analytics. Secondly, aimed at day-to-day transactions, databases don’t usually store historic data, while for warehouses, it’s their main purpose, as they collect data from multiple periods. copying databases into a cloud data warehouse.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Altexsoft

JUNE 20, 2019

Since NoSQL databases allow for reserving various data types together and scaling it by growing around multiple servers, their never-decreasing popularity is quite reasonable. Also, it’s a great option for startups with sprint-based Agile development to build MVP. And the first of them is IoT applications.

Systems Review 85

Systems Review System Software Review Open Source 85

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 224

Software Review Fractional CTO Strategy Software 224

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

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

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

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. Unsatisfied with the inflexibility of simple cloud analytics.

Enterprise 86

Enterprise Cloud Data Data Center 86

Altexsoft

AUGUST 9, 2019

Looking at it another way, SD-WANs provide a means of pooling network capacity between connected data centers (and often cloud providers) using centrally-defined rules to respond efficiently to software bandwidth demands. Any rule changes or updates can be immediately applied and will rapidly propagate across the network.

Artificial Inteligence 13

Artificial Inteligence WAN Machine Learning Artificial Intelligence 13

CTOvision

DECEMBER 15, 2014

The products are connected to the Internet and the data they generate is easily available. Agile Software Development. Continuous Delivery – Many of the advantages Agile holds over Waterfall boil down to shorter cycle times. Predictive Analytics. 3D Printing Design & Implementation. Internet of Things.

Security 120

Security Government Technology Artificial Intelligence 120

Saviynt

NOVEMBER 15, 2019

Whether it’s modernizing the platforms that have been there forever, trying to launch a data center in the cloud, or trying to manage manufacturing or IoT devices more efficiently, the size and shape of our digital footprint is changing. You need a central place to keep all of the identity data, attributes, and information.

Artificial Inteligence 5

Artificial Inteligence Artificial Intelligence Conference Government 5

Cloudera

JANUARY 22, 2019

Big Data Fabric supports a variety of use cases ranging from real-time insights and machine learning to streaming and advanced analytics. The top Big Data Fabric use cases recognized by Forrester are 360-degree view of the customer, Internet-of-things (IoT) analytics, and real-time and advanced analytics.

Big Data 44

Big Data Scalability Data Analytics 44

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

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 322

Analytics Artificial Inteligence Artificial Intelligence Hardware 322