How AI is bringing a new dimension to software testing

Software testing teams analyse and correct thousands of code on a daily basis to ensure the final product is free of errors. However, the on-demand customer expects software to be comprehensive in functionality and delivered with precision and speed. Current software testing procedures are not scalable to meet these needs, nor are they cost- or time-efficient in the digital economy.

As products become more complex...

By Iurii Milovanov, 24 March 2020, 0 comments. Categories: Applications, Big Data, Data & Analytics, Developers, Software.

IDC finds how organisations investing in cloud-based quantum computing seek to gain competitive edge

IDC, in its recent study titled ‘Quantum Computing Adoption Trends: 2020 Survey Findings’ has found that organisations currently investing in cloud-based quantum computing technologies are expecting to see improved AI capabilities, accelerated business intelligence, and increased productivity and efficiency.

During its initial stage, the study indicated that as cloud-based quantum computing is still at its nascent...

By Cloud Tech, 17 March 2020, 0 comments. Categories: Applications, Infrastructure, Research, Software.

Google Cloud and AWS launch new services on machine learning and containers respectively

Another day, another product launch in the land of the hyperscalers – and for Google Cloud and Amazon Web Services (AWS), their new services are focusing on machine learning (ML) and containers respectively.

Google’s launch of Cloud AI Platform Pipelines, in beta, aims to provide a way to deploy ‘robust, repeatable machine learning pipelines… and delivers an enterprise-ready, easy to install, secure execution environment...

By James Bourne, 12 March 2020, 0 comments. Categories: Amazon, Applications, Containers, Google, Software.

Cloud complexity and ‘terrifying’ IoT means organisations’ asset visibility is worsening – report

As security best practice continues to be a battle between organisations closing the gap of hackers who stay one step ahead, a new report from cybersecurity asset management provider Axonius has argued the complexity of cloud infrastructure means companies are ‘rapidly’ losing sight of their asset landscape.

The study, put together by Enterprise Strategy Group (ESG) and which polled 200 North America-based IT and...

By James Bourne, 11 March 2020, 0 comments. Categories: Applications, Infrastructure, Research, Security, Software.

Gartner’s cloud AI developer services Magic Quadrant sees AWS edge out Microsoft and Google

The hyperscalers continue to lead where others fear to tread – or at least those without the cavernous pockets of the biggest cloud players, at least. Gartner has gazed into its crystal ball and ranked the main vendors for cloud AI developer services, and it’s a 1-2-3 for Amazon Web Services (AWS), Microsoft and Google.

In its latest Magic Quadrant, Gartner defines ‘cloud AI developer services’ thus: as...

By James Bourne, 06 March 2020, 0 comments. Categories: Amazon, Applications, Developers, Google, Microsoft, Platform, Research, Vendors.

How SaaS, AI and machine learning are boosting sports broadcasting: A guide

The sports broadcasting industry has a problem. Fan bases are growing, as are viewing figures; but it is becoming harder and far more expensive for sports broadcasters and rights holders to manage, package and distribute their content. Obsolete methods of distribution that require expensive software and hardware packages, sold on fix term licenses, are hindering broadcasters from making back-end efficiencies that can ultimately lead to enhanced fan experience.

By Matt Bowman, 26 February 2020, 0 comments. Categories: Adoption, Amazon, Applications, Big Data, Data & Analytics, SaaS , Software.

Don’t expect AI software companies to gobble up revenues SaaS-style, warns a16z

The potential of artificial intelligence (AI) revolutionising software is evident, from creating new data models to the improved insights gleamed from the data provided. If you’re a business intelligence (BI) vendor and you are not exploring AI or machine learning in some capacity, for instance, then there is a real danger of missing the boat.

But if you’re expecting AI software companies to eat up recurring revenues like...

By James Bourne, 21 February 2020, 0 comments. Categories: Applications, Big Data, Economy, Software.

Snowflake secures $479m in latest funding round alongside key Salesforce partnership

Cloud data warehousing provider Snowflake has announced the closure of a $479 million (£370.6m) funding round, taking the company’s overall funding to $12.4 billion.

The funding, which represents the eighth round since 2012, was led by two new investors, in the shape of Dragoneer Investment Group and Salesforce Ventures. The latter is especially pertinent, as a strategic partnership with Salesforce was also...

By James Bourne, 10 February 2020, 0 comments. Categories: Applications, Data & Analytics, Data Management, Economy, Platform, Salesforce, Software.

Edge computing and ITOps: Analysing the opportunities and challenges ahead

It’s true that edge computing is hard to define and is running high on the hype scale. But research and surveys continue to indicate that this trend of processing data where it’s collected for better latency, cost savings and real-time analysis is an innovation with legs. There will be 75 billion IoT devices by 2025, according to Statista.

By Bhanu Singh, 21 January 2020, 0 comments. Categories: Applications, Architecture, CIO, Data Management, Enterprise, Infrastructure.

Securing distributed clouds with an integrated approach: A guide

As digital innovation and resulting transformation increase, organisations also face the rise of traffic volumes from end user and IoT devices, SaaS applications and data from employees, consumers, and partners. As a result, many big data and large-scale applications simply outpace the centralised data centre infrastructure and the IT teams who have to manage and maintain distributed clouds.

By Lior Cohen, 15 January 2020, 0 comments. Categories: Applications, Architecture, Best Practice, Data & Analytics, Hybrid, Security, Software.