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.

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.

A guide to computational storage: Boosting performance for SSD storage arrays

With the proliferation of IoT devices and 5G fast wireless appearing on the horizon, enterprises are moving towards edge-based infrastructure deployment. Computational storage is a new storage technology powering the storage and compute part of edge infrastructure. With computational storage, it will be possible for enterprises as well as telecom service providers to support a massive amount...

By Sagar Nangare, 06 February 2020, 0 comments. Categories: Architecture, Best Practice, Big Data, Software, Storage.

Ela Osterberger, Deliveroo: On inspiration, injustice, and building great data science teams

“I’m someone who always has to speak up if there is any injustice,” says Ela Osterberger, director of data science at Deliveroo. “As soon as I see something not being quite right, I have to speak about it.”

Being an experienced data science leader, with Omnicom and The Guardian among others before Deliveroo, means Osterberger has seen her fair share of it over the years. Presenting her Master’s thesis,...

By James Bourne, 08 January 2020, 0 comments. Categories: Big Data, Case Studies, Collaboration, Data & Analytics, Software.

Why businesses fail to maximise the value of data visualisation

Data visualisation has become one of the hottest tools in data-driven business management over the past few years. As business intelligence software becomes a more central part of companies’ toolkits and data practices, visualisations have improved while concurrently becoming more precise and versatile.

Even so, not every case of a business implementing BI software and data visualisation is a success. Although they are...

By Cloud Tech, 05 November 2019, 0 comments. Categories: Best Practice, Big Data, Data & Analytics, Data Management, Software.

Building confidence and power: Exploring greater female leadership and participation in cloud and data analytics

Analysis Last month, Forbes published its list of America’s 100 most innovative leaders. The report’s methodology was based on four ‘essential leadership qualities of top founders and CEOs’. These were, in no particular order, perception in the media for innovation, social connections, and ‘value creation’, both in terms of track record and investor expectations.

There was, however, one glaring...

By James Bourne, 07 October 2019, 0 comments. Categories: Adoption, Best Practice, Big Data, Developers, Industry.

The 2019 Forbes Cloud 100 analysed: Stripe top again amid big data boom and strong exits

Forbes has put out its latest Cloud 100, and while payments provider Stripe remains top of the shop the big five has a refreshing feel to it.

Stripe remains at #1 for the third successive year in the media firm’s list of private cloud companies – as in cloud companies which are privately held – while behind it the top five consists of data warehouse Snowflake, robotic process automation (RPA) provider UiPath, infrastructure...

By James Bourne, 13 September 2019, 0 comments. Categories: Big Data, Infrastructure, M&A, Private, SaaS , Software, Vendors.

How data and analytics benefits need to be driven by cultural change

Managing big data apps is a challenge for many IT organisations. Moreover, chief data officers (CDOs) and their data and analytics (DA) teams are not achieving the best balance required to deliver superior performance, according to the latest market study by Gartner.

"CDOs are generally focused upon the right things, but they do not have the right mix of activities," said Debra Logan, vice president at Gartner.

Data and analytics market development

The Gartner...

By David H Deans, 30 July 2019, 0 comments. Categories: Big Data, Data & Analytics, Software.

Why the path to digital transformation starts with your data strategy

More and more businesses are waking up to the significant opportunities that embracing artificial intelligence (AI) could offer – from improved customer service to increased productivity. But simply not knowing where to start on their digital transformation journey can often hold them back.

A major benefit of AI is the potential to use new technology to gather fresh insights from data. If that sounds like something your company could benefit from, the best place to embark on your digital transformation...

By Matthew Beale, 17 July 2019, 0 comments. Categories: Big Data, Data & Analytics, Software, Storage.

Exploring the journey from cloud to AI - with a few big data bumps along the way

The potential of cloud computing and artificial intelligence (AI) is irresistible. Cloud represents the backbone for any data initiative, and then AI technologies can be used to derive key insights for both greater business intelligence and topline revenue. Yet AI is only as good as the data strategy upon which it sits.

At the AI & Big Data Expo in Amsterdam today, delegates were able to see that the proof of the pudding was in the eating through NetApp's cloud and data fabric...

By James Bourne, 19 June 2019, 0 comments. Categories: Applications, Big Data, Data & Analytics, Data Management.

What matters most in business intelligence 2019: Key enterprise use cases

  • Improving revenues using BI is now the most popular objective enterprises are pursuing in 2019
  • Reporting, dashboards, data integration, advanced visualisation, and end-user self-service are the most strategic BI initiatives underway in enterprises today
  • Operations, executive management, finance, and sales are primarily driving business intelligence (BI) adoption throughout enterprises today
  • Tech companies’ operations and sales teams are the most effective at driving BI adoption across industries surveyed, with advertising driving BI adoption across marketing

These...

By Louis Columbus, 17 June 2019, 0 comments. Categories: Big Data, Data & Analytics, Enterprise, Research, Software.

How to get your data scientist career up and running: A guide

Note: The most common request from this blogs’ readers is how to further their careers in analytics, cloud computing, data science, and machine learning. I’ve invited Alyssa Columbus, a data scientist at Pacific Life, to share her insights and lessons learned on breaking into the field of data science and launching a career there. The following guest post is authored by her.

Earning a...

By Louis Columbus, 14 June 2019, 0 comments. Categories: Big Data, Data & Analytics, Data Management, Software.

The cloud awakens: What needs to happen now to move from teenage kicks to adulthood

Having worked in the cloud computing arena for approaching 14 years I have seen many changes in technology, strategy and opinion of clients in their views to cloud technology platforms and solutions. 

Attitudes to cloud adoption have changed, going through many phases from the ‘we’ll never go cloud’ to ‘we’ll use it in simple non...

By Ian Moyse, 06 June 2019, 0 comments. Categories: Adoption, Big Data, Data & Analytics, Infrastructure, Vendors.

Unravel Data secures $35 million series C funding to help combine APM with big data muscle

Meet Unravel Data. The California-based big data software provider has secured $35 million (£27.1m) in a series C funding round – with the aim of revamping the application performance management (APM) space.

The round was led by Point72 Ventures, with participation from Harmony Partners, as well as existing investors Menlo Ventures, GGV Capital, and M12, formerly Microsoft Ventures.

By James Bourne, 14 May 2019, 0 comments. Categories: Applications, Big Data, Economy.

How augmented analytics is turning big data into smart data

Smart data is generated by filtering out the noise from big data that's generated by media, business transactions, Internet of Things (IoT), and data exhausts from online activity. Smart data can uncover valuable commercial insights, by improving the efficiency and effectiveness of data analytics.

Furthermore, vast amounts of unstructured big data can be converted into smart data using enhanced data analytics tools that utilise artificial intelligence (AI) and machine learning (ML)...

By David H Deans, 29 April 2019, 0 comments. Categories: Big Data, Collaboration, Data & Analytics, Infrastructure, Research, Software.

The state of cloud business intelligence 2019: Digging down on Dresner’s analysis

  • An all-time high 48% of organisations say cloud BI is either “critical” or “very important” to their operations in 2019
  • Marketing and sales place the greatest importance on cloud BI in 2019
  • Small organisations of 100 employees or fewer are the most enthusiastic, perennial adopters and supporters of cloud BI
  • The most preferred cloud BI providers are Amazon Web Services and Microsoft Azure.

These and other insights are from Dresner Advisory Services’ 

By Louis Columbus, 17 April 2019, 0 comments. Categories: Big Data, Data & Analytics, Research, Software.