How AI and machine learning are redefining the war for talent

By Louis Columbus, 24 September 2018, 1 comment. Categories: Applications, Research, Software.

Intel partners with Alibaba for edge computing platform

Intel has noted a $200 billion addressable opportunity for the 'data-centric' economy combining cloud, AI and edge - and the latter has come into force following a new partnership with Alibaba.

The collaboration, revealed at Alibaba's Computing Conference in Hangzhou, will see the two companies launch a joint edge computing platform.

The primary use case is for industrial manufacturing and smart buildings, integrating Intel's hardware, software and AI with Alibaba Cloud's IoT products....

By James Bourne, 21 September 2018, 0 comments. Categories: Alibaba, Applications, Architecture, Platform.

Why Kubernetes is helping to make cloud mainstream

There has been a lot of talk in the first half of 2018 around how cloud is being adopted for mission critical applications and becoming mainstream. Right now, the impact of cloud services, cloud technologies and practices for organisations is rapidly accelerating as we enter the next wave of cloud adoption.  To this point, analysts at Forrester predict that the public cloud market will grow by 22 percent in 2018, to $178 billion. This momentum is being driven by companies that recognise the potential...

By Ronald Sens, 19 September 2018, 0 comments. Categories: Applications, Architecture, Containers, Developers, Platform.

Why healthcare providers need Zero Trust Security to boost their digital initiatives

  • 58% of healthcare systems breach attempts involve inside actors, which makes this the leading industry for insider threats today.
  • Ransomware leads all malicious code categories, responsible for 70% of breach attempt incidents.
  • Stealing laptops from medical professionals’ cars to obtain privileged access credentials to gain access and install malware on healthcare networks, exfiltrate valuable data or sabotage systems and applications are all common breach strategies.

These and many other fascinating insights are from 

By Louis Columbus, 11 September 2018, 0 comments. Categories: Applications, Best Practice, Data & Analytics, Data Management, Security.

ParkMyCloud and CloudHealth team up for greater multi-cloud optimisation tools

It’s certainly a sign that the cloud industry is seriously mature – when we’re not just talking about multiple clouds, but multiple cloud management providers.

ParkMyCloud and CloudHealth Technologies, two companies in the cloud optimisation and management space, have announced an extension of their partnership with multi-cloud in mind.

The integrated product aims to...

By James Bourne, 10 September 2018, 0 comments. Categories: Applications, Economy, Infrastructure, Software.

Why Google needs to make machine learning its growth fuel

  • In 2017 Google outspent Microsoft, Apple, and Facebook on R&D spending with the majority being on AI and machine learning.
  • Google needs new AI- and machine learning-driven businesses that have lower Total Acquisition Costs (TAC) to offset the rising acquisition costs of their ad and search businesses.
  • One of the company’s initial forays into AI and machine learning was its $600M acquisition of AI startup DeepMind in January 2014.
  • Google has launched two funds dedicated solely to AI: Gradient Ventures and the 

By Louis Columbus, 10 September 2018, 0 comments. Categories: Applications, Google, Software.

How hybrid industrial cloud computing is gaining momentum

Why do most internet of things (IoT) analytics operations occur in the cloud? The public cloud offers a centralised location for large amounts of affordable storage and computing power. But there are many instances in which it makes more sense to perform analytics closer to the thing or activity that is generating or collecting data ­– equipment deployed at customer sites.

This is particularly true in industrial and manufacturing environments, which are familiar with the...

By David H Deans, 07 September 2018, 0 comments. Categories: Applications, Hybrid, IaaS, Infrastructure, Platform.

Michael Yamnitsky, Work-Bench: On enterprise machine learning and why ‘it’s a good time to be a mega cloud’

The future of enterprise software will be in some part automated, with machine learning (ML) and artificial intelligence (AI) technologies really starting to come to the fore. For all the actors cast in this fascinating drama – from the largest cloud vendors to startups, and from business analysts to data scientists – it’s time to either start learning their lines or, in some cases, rip up the script altogether.

The script in...

By James Bourne, 03 September 2018, 0 comments. Categories: Applications, Research, SaaS , Salesforce, Software.

Cloudian raises $94 million in series E round, says object storage ‘an idea whose time truly has come'

San Mateo-headquartered cloud storage provider Cloudian has announced it has raised $94 million (£73m) in a series E funding round, hailing it as a validation that object storage is ‘an idea whose time truly has come.’

Cloudian’s business case has been around the benefits of object storage, which provides greater scalability than block storage, as well as favouring unstructured data, with metadata attached to each object...

By James Bourne, 29 August 2018, 0 comments. Categories: Applications, Economy, Europe, Software, Storage.

The global state of enterprise analytics 2018: How cloud, big data and AI are key to the future

  • 71% of enterprises globally predict their investments in data and analytics will accelerate in the next three years and beyond
  • 57% of enterprises globally have a Chief Data Officer, a leadership role that is pivotal in helping to democratise data and analytics across any organisation
  • 52% of enterprises are leveraging advanced and predictive analytics today to provide greater insights and contextual intelligence into operations
  • 41% of all enterprises are considering a move to cloud-based analytics in the next year
  • Cloud computing (24%), big data (20%), and AI/machine learning (18%) are the three technologies...

By Louis Columbus, 23 August 2018, 0 comments. Categories: Applications, Big Data, Data & Analytics, Enterprise, Research, Software.

10 ways to improve cloud ERP with AI and machine learning

Capitalising on new digital business models and the growth opportunities they provide are forcing companies to re-evaluate ERP’s role. Made inflexible by years of customisation, legacy ERP systems aren’t delivering what digital business models need today to scale and grow.

Legacy ERP systems were purpose-built to excel at production consistency first at the expense of flexibility and responsiveness to customers’ changing requirements. By taking a business case-based approach to integrating...

By Louis Columbus, 21 August 2018, 0 comments. Categories: Applications, ERP, Research, Software.

Google Cloud launches pre-packaged AI services around contact centre and talent acquisition

The importance of artificial intelligence (AI) and machine learning to both the biggest cloud providers and their customers continues to rise – and Google Cloud aims to get a step up on its rivals by offering pre-packaged AI services.

At Google Next back in July, Google Cloud AI chief scientist Fei-Fei Li noted that AI was ‘no longer a niche for the tech world’ but ‘the differentiator for businesses in every...

By James Bourne, 17 August 2018, 0 comments. Categories: Applications, Google, Software.

IDG notes how cloud budgets are going up – and implementations increasing in complexity

It is one of the largest trends of this year, and now it has gotten affirmation from IDG: cloud initiatives are becoming ever-more complex as the technology hits full maturity.

The findings appear in the media and analyst firm’s ‘Cloud Insights’ report for 2018. The study, which polled 550 respondents – all of whom are involved in the cloud buying process to some extent – found almost one in three (30%)...

By James Bourne, 15 August 2018, 0 comments. Categories: Applications, Infrastructure, Research.

Intel spies $200bn in ‘data-centric’ opportunity combining cloud, edge and AI

Intel has upped its total addressable market (TAM) for what it calls the ‘data-centric’ era of computing from $160 billion to $200bn – with Navin Shenoy, president and general manager of the company’s data centre group, saying it is “the biggest opportunity in the history of the company.”

Shenoy was speaking at the company’s Data-Centric Innovation Summit in Santa Clara, and took to a company editorial to outline his plans.

“I find it astounding that 90% of the...

By James Bourne, 10 August 2018, 0 comments. Categories: Applications, Data & Analytics, Data Centres, Software.

Google Cloud secures support for NVIDIA’s Tesla P4 GPUs with more machine learning goodness

Google has announced its support for NVIDIA’s Tesla P4 GPUs to help customers with graphics-intensive and machine learning applications.

The Tesla P4, according to NVIDIA’s data sheet, is ‘purpose-built to boost efficiency for scale-out servers running deep learning workloads, enabling smart responsive AI-based services.’ The P4, which is run on NVIDIA’s Pascal architecture, has a GPU memory of 8GB,...

By James Bourne, 07 August 2018, 0 comments. Categories: Applications, Google, Infrastructure, Platform.

Google Cloud posts solid financials, infers blockchain and machine learning exploration at Next

Google promised that its cloud deals were becoming larger and more strategic – and the company can now count on Domino’s Pizza, SoundCloud and PwC among its customers after posting solid financials yesterday.

Total revenues across all of Alphabet for the three months ended June 30 were at $32.7 billion (£25bn), an increase of 26% compared with the second quarter of 2017. Google’s revenues are put into several buckets; ‘other’ revenues, of which Google Cloud is a part, was at...

By James Bourne, 24 July 2018, 0 comments. Categories: Applications, Blockchain, Economy, Google, Software.

Microsoft sees it all come together in financials as Azure revenues go up 89% year on year

It’s becoming a rather shop-worn tale – but for another quarter, Microsoft has cited cloud success as key to its financial results.

And why not? For Q418, Microsoft posted revenues of $30.1 billion (£23.1bn), an increase of 17% on this time last year. Total revenue for the year was $110.4bn, an uptick of 14% on 2017. For the various buckets into which Microsoft divulges its revenues, ‘intelligent cloud’ was at $9.6bn – up from $7.8bn the previous year – while...

By James Bourne, 20 July 2018, 0 comments. Categories: Applications, Data Centres, Economy, Infrastructure, Microsoft.

Major League Baseball expands AWS partnership for AI and machine learning capabilities

Twas the week before earnings, and all in the cloud, vendors announced new customers, and took off the shroud.

That's certainly the case with Amazon Web Services (AWS), with Major League Baseball (MLB) extending its partnership with the Seattle cloud giant for its machine learning, artificial intelligence, and deep learning expertise.

MLB already runs various workloads, including its facts and figures base, Statcast, on AWS. The new initiatives aims to improve the experience for armchair fans as well as...

By James Bourne, 18 July 2018, 0 comments. Categories: Adoption, Amazon, Applications, Software.

IBM looks to further European cloud expansion with new customers and availability zones

IBM is looking to build upon recent cloud momentum – and the company is expanding in Europe after securing several new customers in healthcare, logistics, energy and more.

The announcements showcase how many prospective IBM clients are utilising the company’s cloud for its artificial intelligence, machine learning and blockchain capabilities. Credit Mutuel, a French bank, is deploying IBM Watson virtual assistants across all of its business lines – run on IBM’s cloud in France with a...

By James Bourne, 04 July 2018, 0 comments. Categories: Applications, Blockchain, Europe, Infrastructure, Software.

When AI meets DevOps: Getting the best out of both worlds

DevOps has been widely embraced by businesses under pressure to get competitively advantageous digital deliverables to market at the fastest possible cadence—especially given the reality of limited coder headcount and the need to rigorously avoid brand-toxic snafus in the customer experience. Artificial intelligence (AI), in stark contrast, is a potentially transformative digital discipline that is still very new to most enterprise IT organizations.

But while it’s certainly important that CIOs...

By Aruna Ravichandran, 02 July 2018, 0 comments. Categories: Applications, Data & Analytics, Developers, DevOps, Software.