Is the cloud the next thing for long-term data retention? Looking at the key vendors in the space

For any organisation in this era, there is a realisation on how data is critical for business needs and operations.

An enormous amount of data has been produced already after the disruption of cloud computing into various types of organisation, be it education, finance, healthcare or manufacturing. Today, organisations are more concerned about the data which has been developed in the last 15 to 20 years due to the surge of IT infrastructure.

This data and applications are probably not being used...

By Sagar Nangare, 12 December 2018, 0 comments. Categories: Applications, Big Data, Data & Analytics, Software, Storage.

How deep learning is fuelling machine vision – with revenues hitting $193 billion

In the past, machine vision was limited to highlight-controlled environments, costly sensor technology, and restrictive feature detection. Today, artificial intelligence (AI) is set to change the market, creating new classes of applications and significant new opportunities.

Machine vision is in the process of transition and dramatic expansion. Deep learning (DL) techniques are taking machine vision systems to next level, driving the mass adoption in several industries - including the automotive, retail,...

By David H Deans, 26 October 2018, 0 comments. Categories: Applications, Big Data, Data & Analytics, Research, Software.

Exploring cloud-based archival: The benefits, challenges and opportunities

In today’s enterprise, your data is your lifeblood. Everything you do and every decision you make is about how to create, utilise and protect your data. IT resilience, data protection and backups all play a part in making sure that your data is always accessible and available when you need it.

As part of your IT resiliency strategies, you build processes and infrastructure to ensure mission-critical applications can be recovered as quickly as possible via a...

By Will Urban, 22 October 2018, 1 comment. Categories: Adoption, Big Data, Data & Analytics, Data Management.

How blockchain revenue will reach $10.6 billion in 2023

More CIOs and CTOs are looking for digital transformation and smart technology solutions to their line of business leader innovation requirements. Blockchain and related distributed ledger technologies are already making an impact outside of the finance and insurance space from which they emerged.

Promising new use cases are being trialed in a number of digitally transforming sectors -- notably supply chain management, retail and consumer, arts and entertainment, and public services.

Blockchain applications market...

By David H Deans, 15 October 2018, 0 comments. Categories: Big Data, Blockchain, Infrastructure.

A roundup of 2018 cloud computing forecasts and market estimates

Cloud computing platforms and applications are proliferating across enterprises today, serving as the IT infrastructure driving new digital businesses. The following roundup of cloud computing forecasts and market estimates reflect a maturing global market for cloud services, with proven scale, speed and security to support new business models.

CIOs who are creating compelling business cases that rely on cloud platforms as a growth catalyst are the architects enabling these new business initiatives to...

By Louis Columbus, 15 October 2018, 0 comments. Categories: Adoption, Big Data, Data & Analytics, Infrastructure, Research.

Snowflake secures $450m funding for expansion and further multi-cloud exploration

The money just keeps rolling in for Snowflake Computing. The San Mateo-based data warehousing provider has announced $450 million (£341m) in additional growth funding to help grow its organisation and explore new strategies.

Snowflake offers a comprehensive and complete data warehouse – in other words, repositories of integrated data from at least one source, usually more – in the cloud, with the capability...

By James Bourne, 12 October 2018, 0 comments. Categories: Big Data, Data & Analytics, Data Management, Economy, Software.

Mark van Rijmenam: On the ‘gestalt shift’ of big data, blockchain and AI convergence

When emerging technologies, such as blockchain, artificial intelligence (AI) and the Internet of Things converge, a ‘gestalt shift’ will occur, according to a new book. “The character of the experience will drastically change,” write Mark van Rijmenam and Dr. Philippa Ryan in Blockchain: Transforming Your Business and Our World. “All of a sudden, we can see the world through a different, more technologically advanced, lens and this opens up a completely new...

By James Bourne, 27 September 2018, 0 comments. Categories: Big Data, Blockchain, Data & Analytics, Software.

Microsoft makes Azure Data Box generally available for heavy duty data migration

More and more enterprise data is being transferred to the cloud, but sometimes the journey can break the network's back - which calls for less virtual and more physical solutions.

Microsoft has announced the general availability of Azure Data Box, a physical box which organisations can order, fill up, and then return to Redmond for it to be uploaded to an Azure environment. 

Companies and users can store up to 100 TB per standard box, with variables either way. The newly announced Data Box Heavy can...

By James Bourne, 26 September 2018, 0 comments. Categories: Big Data, Data & Analytics, Data Management, Hardware, Microsoft.

Why big data and analytics revenues will reach $260 billion

Enterprise data lakes are an essential component of many digital transformation projects. Numerous insights about customers, partners and other stakeholders are extracted from these significant commercial assets. Given the benefits, IT infrastructure and associated software investment will increase to support new use cases.

According to the latest worldwide market study by International Data Corporation (IDC), revenues for big data and business analytics (BDA) solutions will reach $260 billion in 2022 with a...

By David H Deans, 30 August 2018, 1 comment. Categories: Big Data, Data & Analytics, Data Management.