As an analyst on the Current Analysis Business Network and IT Services team, Gary covers Business Telecoms Services for the UK and Ireland, with a particular interest in SME and public sector services. Gary’s responsibilities include updating and maintaining Current Analysis’s competitor assessments for the major telecoms companies operating in the UK and on a Pan-European basis.
Collaboration technology can ensure that resources are deployed in the most effective way and help reduce maintenance issues and accidents.
Collaboration technology should be interwoven with other technologies such as corporate applications and IoT and contact center platforms.
Increasingly extreme environmental conditions ranging from wildfires and droughts in North America and Australia to heightened instances of flooding in Europe and China have all been in the news in recent times and are symptomatic of ever more extreme climatic conditions. Utilities need to keep power and water available to the population in these circumstances while also meeting demands to generate power through less carbon-intensive means. Continue reading “Joined-Up Utilities: How Collaboration Services Can Deliver Safety and Efficiency Benefits”→
Enterprises should be aware that Azure Communication Services will let them plug features such as SMS and voice and video calling into other applications and services.
Azure Communication Services offers security through its layered structure and can be integrated with Azure AI features.
What Is Azure Communication Services?
Azure Communications Services (ACS) is Microsoft’s decision to open up the platform that underpins services such as Microsoft Teams and Dynamics 365 as a managed service/API and SDK library. ACS is launching with a set of features that closely mirrors the core capabilities of Microsoft Teams. This is essentially because the features being offered are the blocks used to build the Teams platform. Customers will be able to integrate PSTN calling, IP voice and video, SMS, and individual and group chat functionality which includes content sharing and message history. Continue reading “Microsoft’s Azure Communication Services Launch Challenges OTT/CPaaS Vendors & MSPs and Gives Enterprises New Options”→
In COVID-19 times and the aftermath, enterprises need to think about both collaboration and connectivity.
Businesses should consider talking to their telecoms and/or IT providers about developing a new digital transformation strategy.
The COVID-19 crisis looks set to carry on into at least the early part of 2021, and with new restrictions coming into place in many countries to prevent a ‘second wave,’ many employees and employers could easily be facing another six months of staff working from home. Furthermore, many large global enterprises have already indicated that homeworking will be the norm for the long term. So, how should enterprises respond? Continue reading “What Do Businesses Need to Do to Support Homeworkers?”→
Omnichannel delivers an enhanced and consistent customer experience.
Omnichannel should include social media, mobile apps, and video.
The COVID-19 crisis has set the contact center at the epicenter of the customer contact process. While the trend has been slowly moving away from interactions between businesses and clients at brick-and-mortar branches, the COVID crisis lockdown took away the in-person option for almost all circumstances in one move. The result is a widely varied mix of experiences, but for most organizations, it has been a disjointed one. This is understandable, as the first priority in the early stages of COVID-19 was just to make sure a minimum viable level of customer contact was achieved. But we are now moving gradually out of lockdown and GlobalData’s research makes clear that companies are now reassessing their IT strategies. For the contact center, this means that many organizations are looking to move away from legacy platforms. As they do so, the question becomes: What next? Continue reading “COVID-19: The Crisis Has Underlined the Need for Omnichannel Contact Centers”→
• Digital transformation strategies will play a crucial role in how companies respond to and recover from the COVID19 crisis and all enterprises should be working on their strategy now
• The cloud has demonstrated that it is a resilient and flexible technology that will enable enterprises to respond to COVID-19 and other future emergencies
Most enterprises have considered and deployed their initial response to COVID-19 which has been to deliver at least a minimum viable IT solution to the sudden shift to remote working. Enterprises are now looking at phase two: how do businesses create IT infrastructure that will support the ‘new normal’ that emerges in a post COVID-19 world? Continue reading “COVID-19: Phase Two, Long-Term IT Strategies”→
• Collaboration technologies offer a viable way to support home working during Covid-19 – and potential long-term cost saving and carbon reduction benefits.
• Enterprises should already be trialing collaboration and VPN platforms in anticipation of potential quarantine situations.
As airports come to a standstill and pictures of near-empty train stations dominate news feeds, it is clear that COVID-19 is already impacting the way many people are working. Even before the possibility of mandatory quarantining is considered, many employees are either being asked to work from home, choosing to do so, or are being forced to do so by circumstance (e.g., school closures). So how should businesses respond? Continue reading “COVID-19: How to Keep Working When Offices Close”→
Edge computing can enable a wide range of technologies as part of a digital transformation program.
Edge computing supports low-latency services and offers new ‘branch in a box’ capabilities.
AT&T’s 2019 Business Summit had a big focus on edge computing. AT&T offers a convincing vision with use cases for both its multi-access edge compute (MEC) and network edge compute (NEC) platforms. However, the questions from the enterprises present at the event suggested that many are uncertain about what edge computing means and what it may offer their businesses. This is unsurprising, as the majority of service providers are still developing their own models for deploying edge compute capabilities, let alone offering fully formed go-to-market models. Continue reading “Edge Computing Will Underpin Long-Term Digital Transformation Strategies”→
• Most enterprises agree that AI delivers benefits – but not necessarily the benefits they expected
• AI projects require clear goals and a dedicated project management team, as well as external advice
GlobalData’s research into AI includes talking to enterprises about how and why they are using AI-powered technologies in the contact center. This research has given light to a number of key trends, and also highlighted examples of best practice.
What Technologies Are Being Used?
GlobalData’s research shows that, perhaps unsurprisingly, AI-powered chatbots are the most prevalent use case for AI in the contact center. The use of text-based chatbots on websites is now common, but GlobalData’s research suggest that voice-based chatbots are more of a focus for enterprises. Cost reduction is a key reason for this, particularly for contact centers in North America and Europe. But chatbots also deliver the potential for increased customer service with the potential for quicker response times to more simple inquiries. Continue reading “AI in the Contact Center: Why and How?”→
Enterprises should be prepared to be ‘guinea pigs’ for large tech companies seeking to develop replicable AI solutions.
Off-the-shelf AI solutions for vertical and horizontal use cases are being offered by a growing number of providers.
One of the biggest challenges to adopting AI is knowing where to start. In theory, AI can be applied to any and all aspects of an organization’s day-to-day operations. Furthermore, even if AI enhances a particular part of a business’s operations, it does not necessarily mean that the value returned will be worth the investment. One of the biggest beasts in the telecoms technology world, Cisco, has acknowledged that it has not brought as many AI-enhanced solutions to the market as it anticipated because it is still developing the use cases for AI. Continue reading “Making Money from AI: Use Cases and Experimentation”→