Huawei boosts cloud partner network with Infosys tie-up


Clare Hopping

24 Apr, 2019

Infosys has joined the Huawei Cloud Partner Network and will work with the tech giant to develop enterprise-focused cloud services on its cloud platform.

The tie-up means Infosys can help a wider range of customers move to the cloud and take advantage of other cloud-based services available via the Huawei Cloud Partner Network. It will offer a suite of apps and services to specifically benefit customers looking to move workloads to the cloud from on-premise infrastructure.

“Combining Huawei Cloud’s product innovation and Infosys’ strengths in next-generation digital services, we will help our clients accelerate their transition to the cloud,” said Ravi Kumar S., president of Infosys. “As part of this engagement, we will provide a suite of technologies hosted on Huawei Cloud, such as workload migration solutions including SAP and other enterprise workloads.”

At the end of last year, HCPN had onboarded more than 6,000 partners, offering almost 3,000 applications to customers from 40 availability zones in 23 territories.

“With more than 30 years of experience in building ICT infrastructure and a deep understanding of the enterprise market, we believe Huawei has the capabilities to provide, secure, sustainable and innovative cloud services to wide-ranging industries, enabling our clients to accelerate cloud migration and drive business growth,” said Edward Deng, president of Huawei Cloud Global Market. “We hope to further expand the HCPN partner ecosystem by identifying and developing partners such as Infosys with deep consulting expertise.”

He added that the company’s partnership with Infosys will help businesses achieve a more effective project delivery, cutting costs, allowing better alignment of resources and reducing the risks to business.

Equinix extends European cloud footprint by buying AM11 data centre


Clare Hopping

24 Apr, 2019

Equinix has bought Switch Datacenters’ AMS1 data centre business in Amsterdam in a deal worth €30 million.

The data centre provider already owns ten data centres in the Netherlands, with eight of these in Amsterdam itself. This newest addition will further boost Equinix’s hold on the Dutch market and increasing its worldwide users to 3.9 billion.

The site not only has the capacity for an additional 700 cabinets, it’s also located in a place that will enable it to expand to an adjacent building with space for another 1,300 cabinets.

“The Netherlands and especially the Amsterdam Metropolitan Area is a top destination for global businesses looking to expand into Europe,” said Peter van Bergel CEO of AMS-IX, a long-standing customer and partner of Equinix. 

“There is access to a highly educated and multilingual workforce and a state-of-the art technology infrastructure to meet the digital needs of these businesses.”

He added that businesses are demanding more data centre capacity and interconnectivity and through the purchase, Equinix will be able to address this, while AMS-IX can continue to contribute to the landscape.

Equinix’s AM11 data centre will interconnect with its AM7 data centre, providing a wealth of business services to both existing AMS-IX customers and Equinix clients.

“Amsterdam is a key interconnection point for Europe, with leading enterprises and cloud service providers making it a primary hub for IT infrastructure,” Eugene Bergen, EMEA president at Equinix.

“Adding interconnection capacity in this market enables local and international customers to leverage Platform Equinix to meet their changing business needs. Whether that is to connect to networks, clouds, or content and digital media providers, Equinix is the place to be.”

Salesforce upgrades Sales Cloud with productivity tools


Clare Hopping

24 Apr, 2019

Salesforce has unveiled a raft of productivity features for its Sales Cloud software, helping users save time completing arduous tasks such as admin.

One of the headline features of the Sales Cloud update is the ability for users to view all customer information from their mobile or desktop email inbox. Rather than just being able to see the sender’s name, they are now able to view extra data pulled in from Salesforce, such as account details, contacts and opportunities to discuss at their next meeting.

Additionally, actions are surfaced following meetings, so they can be monitored and ticked off when completed. Notifications are also sent at key milestones, such as when pricing is discussed or a deal is closed.

From a campaign perspective, the Einstein Campaign Insights feature can group together prospects likely to engage with a particular campaign so they can be retargeted with similar campaigns that are likely to result in success. Both sales and marketing teams will have access to these key insights, offering the opportunity to unify efforts across the two departments for conversion.

Sales Cloud’s Social Intelligence Module surfaces an AI-powered social media feed to present conversations to sales teams. These are pooled together from various data points and presented in an easy to digest way, so salespeople can make sure their efforts are in line with their prospects’ expectations. These insights can also be shared with other team members using Chatter.

For High Velocity Sales tool, Salesforce has added sales cadences and work queues to help identify and perfect pitches to new prospects. Complex sales funnels can be addressed with linked sales cadences and work queues can be customised to display the most important prospects’ details in one place.

“With these new productivity features, we’re managing the flow of information so that what you need is surfaced when you need it, all within Sales Cloud,” said Robin Grochol, SVP of product management for Sales Cloud at Salesforce.

“It’s about making every rep more efficient, guiding their focus to the most impactful accounts and tasks, and elevating and upskilling every individual’s performance.”

How channel partners are driving hyperscale cloud growth

Hyperscale cloud service providers continue to leverage their low-cost advantage to drive growth. According to the latest worldwide market study by Canalys, Google Cloud was the fastest-growing cloud infrastructure vendor last year – up more than 90% year on year – increasing its share of the total market from 6% in 2017 to 8% in 2018.

The top four hyperscale cloud service providers accounted for 61% of the total market in 2018. Amazon Web Services (AWS) remained the leader on 32%, followed by Microsoft Azure with 17%, Google Cloud in third place with 8% and Alibaba Cloud with 4%.

Hyperscale cloud market development

Canalys reports that hyperscale cloud infrastructure services are in a period of sustained growth, with spending up 46% in 2018 to more than $80 billion. Expenditure is also forecast to surpass $143 billion in 2020.

More businesses are deploying a hybrid multi-cloud strategy, integrating multiple providers with their existing on-premises IT infrastructure. Canalys estimates 30% of cloud infrastructure services spend, just over $24 billion, went through the IT channel of distributors, resellers, service providers and systems integrators in 2018.

"AWS, Microsoft Azure, Google Cloud and Alibaba Cloud are all increasing channel investment to raise their profiles, as competition for enterprise customers increases and workload cloud migration diversifies," said Alastair Edwards, chief analyst at Canalys.

The channel will play a vital role for the cloud service providers, in terms of boosting their customer reach, from both a sales and technical perspective. But each of the hyperscale cloud service provider titans current partner reach, engagement and program maturity differs — with Google Cloud trailing both AWS and Microsoft Azure in all areas. Alibaba Cloud is further back, behind the leaders.

 

 

Canalys estimates the top three providers represented 65% ($16 billion) of the channel's total cloud infrastructure services business in 2018. Microsoft manages one of the largest channel ecosystems in the technology sector and its Cloud Solution Provider (CSP) program is the most mature among the cloud titans, according to the Canalys assessment.

Approximately 74% of revenue from Azure is estimated to come via its partners, which is by far the highest percentage in the sector. In contrast, AWS channel business accounts for around 15%, though its reach is growing rapidly, AWS having recruited over 35,000 partners to date, with hundreds a month wanting to join its partner program.

Canalys estimates that Google Cloud's channel business accounts for just over 25% of its $7 billion cloud infrastructure revenue. In spite of Google Cloud's rapid growth, its channel reach is relatively small, though it is trying a differentiated approach by being more focused on specific applications and verticals.

An estimated 13,000 partners have joined its partner program, of which just over 100 have achieved the highest-tier Premier Partner status, while less than a third of those have achieved a Specialization Partner designation.

Outlook for cloud channel application growth

In a recent Candefero channel survey, 20% of respondents think there is huge potential to working with Google Cloud, while 22% said they will work with other cloud service providers instead. Cloud computing service channel partners will continue to align with the market leaders.

That said, 44% of partners were intrigued to know more about partnering with Google. Their new leadership brings the experience of working with the largest enterprise customers. But to date, Google has not captured the broader channel where AWS and Microsoft are being more proactive.

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Digital transformation in the financial services industry


Stuart Andrews

18 Apr, 2019

Like most industries, the financial services sector is going through an intense period of digital transformation. A recent Gartner survey found that one-third of financial services CIOs identified going digital as their top business priority for 2019 – up by more than 8% from the response the year before. Meanwhile, a report last year from the World Economic Forum suggests that AI, along with Blockchain, Cloud and – in the future – Quantum Computing, could transform what it calls ‘the physics of financial services’ – ‘weakening the bonds that have historically held together financial services and creating new centres of gravity where new and old capabilities are being combined in unexpected ways.’

Together, the combination of big data, AI, cloud and mobile is empowering firms to move away from their old processes and business models and embrace new opportunities. The most visible impact is on the customer experience, as cloud-based services, voice interactions, bots and mobile apps give us new ways to interact with financial products and services. However, as much is going on behind the scenes. Some banks are digitising their internal processes, moving away from paper-based filing and legacy applications to modern, cloud-based services that aid compliance and allow them to extract more value from the data.

Meanwhile, robotic process automation is helping firms to automate complex, time-intensive activities, while AI technologies turn data into insight, providing decision-making support for human workers. Natural language processing technologies will impact everything from customer interactions to compliance, helping firms to both extract crucial information from unstructured data and put those findings to good use. And when you have the computing power to combine real-time data streams with analytics and AI, you have the ingredients you need to optimise your processes and make effective decisions faster.

Perhaps most crucially, digital transformation is helping financial services firms reinvent themselves. The sector is slowly moving from an era of competition to one of collaboration, where established institutions can partner with new FinTechs to create personalised, intelligent, cloud-based solutions that can meet customer expectations while simultaneously lowering operating costs. Transformation isn’t about offering the same products and services through new technology, but about making services more personal to each customer and more accessible to a wider market. That’s why banks like ABN AMRO in the Netherlands are maintaining office space where they can work directly with new start-ups to drive innovation.

This more collaborative environment is also being fuelled by the growth of Blockchain, enabling networks where everyone who needs to can have access to the same data, with all changes to that data recorded and locked-in. Everyone can work using the same ‘shared truth.’

Meeting the challenge

Firms understand the necessity of this transformation. In the words of ABN Amro COO Johan van Hall, ‘Banks are in a very transformational mode. We see the new entrants coming and we believe that banks towards the end of the decade will be very different than we are today.’ Flexibility, agility and speed have become key goals.

Of course, financial services organisations face specific challenges. As well as the universal issues around data regulation and GDPR, they’re bound by industry regulations designed to ensure that institutions manage risk responsibly and behave with integrity. Banking, insurance and financial service firms are subject to more controls in terms of auditing, reporting and assessment, not to mention the storage and management of data. It’s a sector where security is crucial – where a data breach can not only have immediate financial consequences but a longer-term impact on reputation and trust. And to make the business of transformation even more complex, it’s an industry associated with siloed data, a reliance on big iron legacy applications and a cultural resistance to change.

Yet there’s good news. Many of the same technologies that are transforming financial services can also help firms in the sector overcome these challenges. In particular, IBM technologies have a proven history of driving transformation forward.

The technology behind future finance

Take IBM’s Watson AI technologies, for example. On the one hand, they’re helping firms deliver mobile apps that can combine data from public sources, financial sector sources and other client interactions to give customers information they can use in their financial decisions. On the other hand, they’re giving in-house sales teams the tools they need to ask for information or guidance using natural language, and get an effective, data-driven response in the same digestible format.

Meanwhile, firms are using AI to prevent fraud and manage risk, using Watson’s ability to ingest vast amounts of data – both at rest and in real-time – and spot patterns or inconsistencies that need to be flagged. Data can be drawn from existing sources or aggregated from multiple-systems in real-time, ensuring risk and compliance professionals can interpret complex issues and ensure they have the right controls in place. Experience has shown Watson identifying 30% to 50% of anti-money-laundering alerts as false positives and reducing the time it took for a banker to perform customer due diligence on a standard business from over 13 minutes down to five minutes 20 seconds. Nor is this the only way Watson can help firms with their Governance, Risk and Compliance duties; because the technology learns and can work with natural language, it can ingest and interpret regulations as they change.

Cloud also has a crucial role to play. IBM Cloud for Financial Services is a cloud-based platform and ecosystem designed to meet the needs of financial institutions. It comes with technologies like Blockchain and predictive analytics built-in, plus the APIs, reference architectures and microservice templates that can help firms build and deploy their own applications faster. Specific APIs for financial risk management, simulated instrument analytics and control of financial data can aid firms in meeting their governance, risk and compliance obligations. Best of all, firms don’t need to invest in their own infrastructure and build everything from scratch; digital transformation can be an ongoing cost rather than a huge upfront investment.

Data management and protection is a big concern for firms, but IBM technologies can help. IBM’s Guardiam technologies make it easier to identify security and compliance risks, then use tokenisation and pseudonymisation of sensitive data to reduce them. Security teams can set policies to ensure that departments get the information they need to do their jobs, but not information that might add unnecessary risks. Multi-cloud data encryption can safeguard that data across single clouds, multiple clouds or even hybrid environments, while IBM’s Immutable Object Storage technology ensures that companies can set and manage data retention according to regulations, all using a cloud-based interface.

By leading on data management, AI, Blockchain and the cloud, IBM is defining the more collaborative, intelligent financial services platform of the future.