TIBCO - Connected Intelligence

JUNE 10, 2020

Connected Data Group helps clients become more data-driven and was co-founded with Antoine Stelma. The pair realized early on that they would have to transition their clients from traditional warehousing and replication-based data architectures to more modern and agile solutions.

Sport 62

Sport Data Virtualization Analytics 62

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. 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.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

TIBCO - Connected Intelligence

APRIL 15, 2021

On the data-driven innovation battlefield, victory goes to the swift. Embrace agile. Compressing your data capture to analyze to get insight to decide to act cycle is key. Data related regulations continue to grow. The data analytics skills shortage persists. Analytics are turning insight into action.

Analytics 41

Analytics Development Team Review Technical Review Data 41

Cloudera

DECEMBER 10, 2020

Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands. You don’t need a highly skilled administrator to add nodes to the cluster and replicate data to increase capacity.

Data 98

Data Technical Review Storage Systems Review 98

Abhishek Tiwari

JULY 20, 2019

When it comes to organising engineering teams, a popular view has been to organise your teams based on either Spotify's agile model (i.e. As a bare minimum, I can think of an engineering organisation of 6 Spotify like squads with each team consisting of 8-10 people including engineers (frontend/backend), BA, PO, and an agile coach.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

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. AI-enabled data engines will provide insight about what processes can be redesigned and/or automated.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

TIBCO - Connected Intelligence

DECEMBER 20, 2021

The Unify Portfolio Highlights Breakthroughs in Data Integration and Lays the Foundation for the Future of Data Fabric. Enhancements in the Unify portfolio address organizations’ data management challenges head-on, empowering the business to assemble an agile data fabric, unrestricted by siloed data, on any cloud platform.

Innovation 26

Innovation Analytics Virtualization Cloud 26

Cloudera

NOVEMBER 12, 2020

Your sunk costs are minimal and if a workload or project you are supporting becomes irrelevant, you can quickly spin down your cloud data warehouses and not be “stuck” with unused infrastructure. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

Data Center 104

Data Center Cloud Data Policies 104

Cloudera

OCTOBER 1, 2022

According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations. . As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. People selling information. Infrastructure.

Government 75

Government Artificial Inteligence Enterprise Strategy 75

Cloudera

DECEMBER 21, 2020

Instead, it is a move towards recognizing those companies that are driving innovation and agility by modernizing their data architecture and optimizing their infrastructure to leverage invaluable insights. This year’s winner, the West Midlands Police, stood out with its groundbreaking data strategy that did both of these things.

Data 96

Data Technical Review Enterprise Cloud 96

Cloudera

OCTOBER 25, 2022

The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Cloud 52

Cloud Data Firewall AWS 52

Cloudera

JUNE 14, 2021

The shift to cloud however has moved much of IT to Op-Ex, or subscription services, opening multiple opportunities across the enterprise for agile solution providers and LOB leaders alike. The post Telecommunications and the Hybrid Data Cloud appeared first on Cloudera Blog. Find out more at [link].

Telecommunications 97

Telecommunications Cloud Data Virtualization 97

Cloudera

DECEMBER 7, 2017

That data may be used in ways that don’t comply with appropriate security and governance policies. That data may be hard to discover for other users and other applications. That data may be hard to track for audit and compliance purposes. There is a better way. It’s time for a new approach to analytics in the cloud.

Data 40

Data Machine Learning Artificial Inteligence Analytics 40

Cloudera

JANUARY 11, 2021

In a multi-tenant environment, many users need to access the same data sources. Isolated compute resources make it easier to adhere to SLAs, control costs, and be agile. Experimental and production workloads access the same data without users impacting each others’ SLAs. Isolates workloads, while permitting a shared “data lake.”

Data 63

Data Pharmaceuticals Open Source Machine Learning 63