I recently attended a briefing with Ramco Systems – if you haven’t heard of them, they are one of an emerging group of software vendors who are challenging the big application software companies – SAP and Oracle. They put innovation at the centre of their business – aiming to constantly drive improvement for their customers, and bringing companies the benefits of systems that consumers see in their web-based and mobile apps but have been sorely missing from the enterprise application market. To be honest they are a breath of fresh air in a market that needs it – and their endeavours are seeing results both in plaudits from analyst firms and new customer wins.
At the briefing, Ramco demonstrated some of the AI capabilities they have been weaving into their software platforms. And in doing so they have shown the gap between today’s systems and systems that actually work for their clients. ERP, HR, Payroll and other enterprise applications are data sinks – they demand constant input, and while they do a good job in automating business processes, they could do so much more.
Within Ramco they have moved away from email completely for employee inquiries – all interactions now happen with their transactional chatbot, including scheduling meetings, checking leave balances, discovering and understanding personal achievements, raising a travel request and claiming travel expenses – as well as understanding company policies and supporting employees with speculative queries. This same bot is available for clients as they aim towards a zero-UI interface – no more logging onto systems and interrogating applications, running searches. Now you ask a question and get an answer – using an IM client or a voice interface (such as Google Home or Amazon Alexa devices). This is the way systems should serve employees.
Like other enterprise application vendors, they have added an AI capability to their platform – but they are taking the extra step to make that AI work out of the box (or the cloud). For example, with all the information in your HR systems (employee skills, time and attendance, incentives, expenses, payroll) they are looking at making that information accessible and actionable for potential users – creating systems that understand the context and anticipate needs.
In your finance or ordering systems, they are applying machine learning so it understands that ‘client A’ tends to order specific items from specific locations – so ordering agents are guided towards those options versus having to scroll through long lists.
(see images for an example of that in the process)
They are recommending where costs should be allocated or validating inputs based on historical learnings. The systems can catch a mistake, errors or even fraud – saving the business significant amounts of money and of time in error correction or re-work.
Ramco’s vision is that agents only have to manage exceptions in enterprise applications – not every single detail. Complete automation is still an unrealistic expectation, but businesses should aim for 85% automation, with 12% of processes needing intervention for mild intervention and 3% needing deep intervention. In Ecosystm’s experience speaking to businesses that have automated to such a degree, an 85% automation does NOT lead to an 85% saving – as you typically automate the easier cases anyway. But the savings should be real and measurable – up to 50% time saving for accounts receivable or payable teams, for payroll teams, for help desks or for other highly manual processes should be achievable.
And while the business case can be built on the saving, the pay-off also comes in happier and more engaged employees who have the information right at their fingertips to make better business decisions or drive smarter business processes.
So why highlight Ramco’s AI capabilities? For a number of reasons:
For AI to be widely adopted, it needs to be easy and accessible – Many other vendors (the big cloud players in particular) are making AI tools and assets available for customers, but they still have to do the hard work – find a business problem, gather the data, train the algorithm, deploy the algorithm and then train users on the new process. There are hundreds – or even thousands of examples of processes in business that can be made smarter and easier through the use of machine learning and AI – and vendors should be building these capabilities into the products and platforms. Ramco is doing that – they are by no means alone – but they are a good example of a software vendor that is disrupting a market by focusing on helping their customer succeed.
I believe there is a bigger trend going on in the way businesses buy software (and look out for an upcoming report on this topic). More and more I see businesses adopt the best solution for their needs – NOT the one that does 80% of what they want. And the best software is often built by smaller, more agile companies. They build for specific business needs and specific niches – and they focus on providing exactly what customers want. I am seeing a general move away from the big platform providers towards the smaller ISVs. Partly because they cost less (I regularly hear companies say they saved up to 90% by using a specialist provider!) – but also because they provide the best solution – and businesses can no longer compromise when it comes to driving the best customer and employee experiences. Again, Ramco is a part of this change.
You should demand more from your applications provider– an AI platform is not enough. They need to make your actual application smart – they need to be able to automate processes you are already doing. If you have data the system should be able to learn, they need to focus on making the system work for you, your employees and your customers – not the other way around (as is too often the case). AI needs to be a core component of your business applications, not a bolt-on.
The launch of Zoom Phone
Zoom launched their Zoom Phone cloud phone service in Australia, supporting local phone numbers and PSTN access with new metered and unlimited call plans. Customers have the option of using their own carrier or using a Zoom number. The launch of Zoom phone should not be taken lightly by their competitors as they have so far succeeded in pulling customers to their app and impressing them with the user experience. Once the customer is locked into Zoom, the user experience has somehow led them to want to use it even more. With the launch of voice, they are now pushing themselves deeper into an account by creating upsell opportunities in workplace video, collaboration and voice technologies. This allows them to take on UC players across the stack of video, voice and collaboration.
Accelerating deep partnerships with leading cloud innovators
Zoom has strong partnerships with leading cloud platforms. Zoom’s partnership with Dropbox allows customers of both services to start a Zoom Meeting while viewing or working on shared files via shortcuts built into Dropbox’s viewer tool. The Atlassian partnership, for instance, allows Jira Ops to be integrated with Zoom. Users will be able to start a meeting directly from a Jira Ops ticket with anyone associated with the ticket. These are some of the partnerships and it demonstrates how Zoom has thought about other critical cloud apps that are important for day-to-day work and collaboration and the ability that can make Zoom the app that can provide that in-between integration for collaboration.
Zoom’s architecture is video-first, cloud-native and optimised to process and deliver high-quality video across devices. They reported recently that their approach to video has been uniquely different from that taken by others who have attempted to add a video to an aging, pre-existing conference call or chat tool. Zoom developed a proprietary multimedia router optimised for the cloud that separates content processing from the transporting and mixing of streams.
With the launch of Zoom Phone and the adoption they are witnessing of their video platform, Zoom is set to be a leading provider in video and voice collaboration. We can expect Zoom to further build on the office collaboration stack in the near future. As organisations start deploying solutions from cloud innovators such as AWS, Slack, Microsoft, Google and others, Zoom stands out from that standpoint. They are a cloud innovator that has thought about the issues of the past and the pain points of those using video. The thinking behind user design and simplicity and the integration to workflows has paved the way for the success they are seeing today.
As they grow their presence with some of the largest brands and Fortune 500 companies in the Asia Pacific region, they will also start attracting partners who will want to be part of that journey with them so it’s a win-win for both parties. These partnerships will include a range – from the existing players in the video to other workplace collaboration vendors.
For the fiscal year ended January 31, 2019, Zoom reported that 55% of their 344 high-end customers started with at least one free host prior to subscribing. These 344 customers also contributed to 30% of revenue in that fiscal year.
The journey has just started for Zoom in Asia Pacific and we can expect the next 12 months to be good for them as they expand rapidly across the region.
Much of the 2018-2019 efforts may be collated under three main categories.
Hardware. Establish a hardware foundation from which any IoT device or customer can reap the benefits of Cisco’s larger corporate strategy built around initiatives such as Cisco DNA Center, Intent Based Networking, ACI and Security. With the acquisition of Sentryo and the refresh and launch of their routers, Cisco is now well placed to have legitimate discussions with Industrial IoT or IIoT customers and prospects. Bringing IBN functions to the edge of the network will enable Cisco’s customers to begin to develop richer business outcomes from the network. Rating: A-
Developers: Raise the availability of IoT-based applications through Cisco’s DevNet developer community. Cisco has a significant advantage over their competitors by having over 500,000 developers who understand how to write apps for Cisco’s product line and who now have access to new types of data that can enrich traditional network outcomes. Over time this advantage will become more and more valuable as data becomes utilised across markets as well as within markets thus creating wealth in a much larger ecosystem. Rating: B+
Partners: Transform their partner management through the Customer Experience (CX) program. Much of Cisco’s business is conducted through partners. It is a critical success factor for Cisco to enable the partners to be IoT-data savy. IoT will enable Cisco to accelerate the transition from product sales to higher value subscription services. However, based on discussions with customers, partners and Cisco management, we believe that there is much more work to integrate an IoT strategy in to CX. Rating: B-
The Industrial IoT (IIoT) and Cisco
Cisco identified the IIoT market as one where Cisco’s strengths in hardware, software and partner ecosystem will play well with their customers and prospects. While having a strong foothold in the industrial space, we believe that Cisco’s success will be much dependent on the customer’s workloads and what they want to achieve with their data as it is reducing the complexity between IT and OT (Operations Technology) issues. Cisco has addressed the IoT connectivity and network security at the edge of the network through its ruggedized routers while their competitors are building distributed computing environments. Competitors who are adopting a full IT stack at the edge of the network aim to offer up more OT-based industrial services as well as emerging innovation services such as digital twin, augmented reality and robotic process automation. One key consequence of a customer choosing either approach will result in differing partner ecosystems to form and support the customer. These ecosystems will also be different in how they are managed and by who manages them.
Our recent IoT study shows that while security (a sweet spot for Cisco’s strategy) remains extremely important to an organisation’s solution, technology integration is equally important. When vendors are considering implementing an industrial solution, they need to be able to provide an end-to-end solution that encompasses both the IoT Edge and the IoT Enterprise while smoothly bringing together the OT and IT procedures.
This all starts with an easy on-boarding of any IoT device that is secured and managed with confidence and reliability. The good news for Cisco is that these challenges are also a natural opportunity for Cisco’s partner organisation and systems integrators by creating a new styled IoT ecosystem. However, despite which hardware path an end-user takes, we believe that Cisco and others do not have all of the necessary components of the full ‘IoT’ stack to fulfil a complete solution. To that end, everything will pivot to the vendor who either has the better systems integrations partnership, or, plays in the strongest ecosystem.
Most of Cisco’s business is driven through partners and therefore any success for Cisco’s IoT strategy is dependent on how well they execute it. IoT will accelerate the shift from product based solutions to subscription/as a Service deliverables as more information is generated from the connected devices. and as such the Cisco partner community should be trained/incentivised to offer up IoT. Cisco partners are already undergoing their own business transformation as Cisco’s Customer Experience (CX) strategy is introduced to them. Having the IoT hardware align with the broader Cisco vision was critical to enabling any CX IoT strategy. However, partners may be in ‘transformation’ overload as they embrace the traditional Cisco customer needs and requirements and may be slower to take up the IoT opportunities.
Our IoT study shows that customers believe that the transition from products to services innovation is the highest scoring benefit from an IoT implementation.
However, this is a difficult but critical part of any company aspiring to become a digitally driven business. An IoT strategy is a corner stone of this vision as it will provide the data to be able to run a services or subscription-based business model
Cisco is well positioned here but there is a maturity and readiness gap between Cisco and their customers. Patience will be a key asset as Cisco and their partners close technology gaps for their customers (e.g. adopting and implementing widespread analytics as part of the corporate digital strategy. Most customers are not ready to take advantage of IoT-based analytics outcomes and therefore the RoI case has not been fully articulated).
Finally, Cisco needs to address the mid-tier market with solutions that are compatible with budgets. While it is important to have an ecosystem of high calibre partners within systems integrators, we feel that there will be many customers who cannot afford Cisco’s end-to-end solution. As a result of this Cisco partners are still not ready to address the mid-tier market. Cisco will need to promote offerings across all markets by participating in high-, mid-, and low-end ecosystems. This may mean acknowledging non-5G licensed spectrum/ non WiFi solutions for the most cost sensitive customers for the sake of broader market and industry share.
Recommendations For Cisco IoT
The following are our recommended actions for Cisco IoT based on C-Scape and the prior 12 months of strategy rollout:
Create stronger value proposition for network based IoT business outcomes. Customers are asking for end-to-end validation which means that Cisco needs to articulate a role with the likes of Salesforce, SAP and Microsoft to enhance customer’s enterprise management systems. This is where Cisco’s CX and partner organisation will also be challenged but can open up a lot of opportunity. Move the message up the value chain. More work has to be done with CX. More has to be done with developers.
Articulate a stronger comprehensive Industry 4.0 solution that gives customers all of the application qualifiers to run on Cisco’s hardware. Cisco will be challenged by the IT-lead distributed IoT compute stack over its industrial strength routers. More marketing has to be invested in the IoT Edge campaigns.
Segment the IoT market by customer maturity/readiness/size and their IoT connected assets. Based on asset churn and customer size will dictate the type of new IoT ecosystem that Cisco will either build, manage or participate. For example, an IoT solution of Capex intensive assets with longevity is very different for agriculture supply chain management. Segmentation is critical for Cisco to be successful.
Critical Communications World,2019 – TCCA’s largest event in global public safety communication – was held in Kuala Lumpur in June. Mission-critical communications are essential to maintaining safety and security across a range from daily operations to extreme events including disaster recovery. A UN report estimated that economic losses from natural disasters could reach USD 160 billion annually by 2030.
I attended the event as a guest of Motorola Solutions – one of the leaders in this field. Many people associate Motorola only with phones not knowing that they have been the cornerstone of some of the largest critical communications deployments around the globe. For instance, Victoria Police completed its AUD 50M+ rollout of Motorola Solutions managed services, enabling almost 10,000 police officers across Victoria access to mobile devices loaded with smart apps, and data when and where they need it most.
Motorola’s ability to provide customers with a private network which is secure, robust and redundant in the event of disaster has also been one of the reasons for their success in the industry. In the event of natural disasters or terrorist attacks, situations can arise where networks will not be available to send and transport any information. Having a secure and private network is critical. That explains why some of the largest police departments in Asia work with Motorola and these include Singapore, Malaysia and Indonesia.x
Motorola acquired Australian mobile application developer Gridstone in 2016 and Avigilon, an advanced video surveillance and analytics provider in 2018. These acquisitions demonstrate how Motorola is innovating in the areas of software, video analytics and AI.
Public Safety Moving to a Collaborative Platform with AI and Machine Learning
Andrew Sinclair, Global Software Chief for Motorola Solutions sees AI enhancing future command and control centres and allowing greater analytics of emergency calls. Call histories and transcriptions, the incident management stack, community engagement data and post incidence reporting are all important elements for command and control centres. Using AI to sieve through the information will empower the operator with the right data and to make the right on-the-spot decisions.
The Avigilon acquisition, enhances Motorola’s AI capabilities and less time is spent monitoring videos, giving first responders more time to do their jobs. The AI technology can make “sense” of the information by using natural language technology. For example, if asked to find a child in a red t-shirt, the cameras can detect the child and also create a fingerprint of the child. The solution enables faster incidence detection by using an edge computing platform. It gathers the information and processes it to relevant agencies making the search operation faster and more streamlined. The application of AI in the video monitoring space is still in its early days and the potential ahead for this technology is enormous.
The other area that can empower first responders better are voice activated devices. The popularity of Alexa and Echo in the consumer world will see greater innovation in the application of public safety solutions. For example, police officers responding to an emergency may have very little time to look at screens or attend to other applications that need touching or pressing of a button as time and attention is essential is such scenarios. The application of voice activated devices will be critical for easing the job of the police officer on the ground. This will not only save administrative work on activities such as transcription, but also help in creating better accounts of the actual happenings for potential court proceedings.
While it is still early days for a full-fledged AR deployment in public safety, there are potential use cases. For example, firemen standing outside a building to make sense of the surrounding area could use AR to send information back to the command and control centres.
The Growth of Cloud-driven Collaboration
Seng Heng Chuah, VP for Motorola APJ talked about the importance of all agencies in public safety to be more open and collaborative. For instance, currently most ambulance, police and fire departments work in silos and have their own apps and legacy systems. To achieve the Smart City or Safe City concept, collaborating and sharing information on one common platform will be key. He talked about the “Home Team” concept that the Singapore Government has achieved. Allowing all agencies to collaborate and share information will mean the ability to make faster decisions during a catastrophe. Making “sense” of the IoT, voice and video data will be important areas of innovation. Normally when a disaster happens, operators at command and control centres – as well as onsite staff – face elevated stress levels and accurate information can help alleviate that.
The move towards the public cloud is also becoming more relevant for agencies. In the past there was resistance and it was always about having the data on their own premises. In recent years more public safety agencies are embracing the cloud. When you have vast amounts of data from video, IoT devices and other data sources, it becomes expensive for public safety agencies to store the data on premise. Seng Heng talked about how public safety agencies are starting to “trust’’ the cloud more now. According to him, Microsoft has done a good job in working with local governments around the world, and their government clouds have many layers of certifications as well as a strong data centre footprint in countries. The collaboration between agencies and more importantly agencies embracing the cloud will drive greater efficiency in analysing, transcribing and storing the data.
The Rise of Outcome-based, Services-led Opportunities
Steve Crutchfield, VP of Motorola Solutions for ANZ, talked about how Motorola is a services-led business in the ANZ market. 45% of Motorola’s business in ANZ is comprised of managed services. The ANZ region is unique as it is seen as early adopters and innovators around public safety implementations. Organisations approach Motorola for the outcomes. Police and Ambulance for example in the state of Victoria use their services on a consumption model. Customers across Mining, Transportation, and Emergency Services want an end-to-end solution across the network, voice, video and analytics.
The need for a private and secure network is significant in several industries. In the mines, safety is of priority and as soon as the radio goes down it impacts productivity and when production stops that can results in huge losses for the mines. Hence the need for a reliable private network that is secure for the transportation of voice and video communication is critical.
Crutchfield talked about how the partner ecosystem is evolving with Motorola working with partners such as Telstra and Orion but increasingly looking for specialised line of business partners and data aggregation partners. Motorola works with 55 channel partners in the region.
Motorola Solutions is an established player in providing an end-to-end solution in the critical communications segment. The company is innovating in the areas of software and services coupled with the application of AI. Dr Mahesh Saptharishi, CTO at Motorola Solutions talked about how AI will eventually evolve into “muscle memory”. That will mean that there is far greater “automatic’’ intelligence in helping the first responders make critical decisions when faced with a tough situation.
In the end the efficacy of critical communications solutions will not just be the technology stack, but the desire and ability for cross-agency collaboration. As public safety agencies analyse large volumes of data sets from the network right to the applications, they will have to embrace the cloud, and which will help them achieve scale and security when storing information in the cloud. From the discussions, it was clear that the public safety agencies have started acknowledging the need to do so and we can expect that shift to happen soon.
Motorola will need to keep evolving their channel partner model and start partnering with new providers that can help in delivering some of the end-to-end capabilities across Mobility, AI, software, analytics and IoT. Many of their traditional partners may not be able to be that provider as the company evolves into driving end-to-end intelligent data services for their clients. The company is playing in a unique space with very few competitors that can offer the breadth and depth of critical communications solutions.
NEC has taken this into consideration and published a set of principles for the application of biometrics and AI. The “NEC Group AI and Human Rights Principles” will guide the company along the lines of privacy and human rights. These initiatives were led by the Digital Trust Business Strategy Division, in collaboration with several other divisions within the company, as well as industry stakeholders including industry experts and non-profit organisations.
I recently attended the Verint Engage event in Sydney, which had over 700 attendees. Conversations on artificial intelligence (AI) and analytics garnered a lot of attention this year. Verint showcased the deployments of intelligent conversational bots used by some of the biggest brands in Asia Pacific. Some of these customers include Spark NZ, Suncorp and AAMI. In 2018, the company acquired Next IT, a provider of conversational AI virtual assistant, to accelerate their move in the automation and analytics space. Verint’s choice of Next IT was driven by the need to provide their customers with a solution that has deep expertise in the contact centre space and to have an automation solution that is deeply integrated into their broad portfolio of solutions.
Last week, Verint announced the launch of AI Blueprint, a conversation analysis system that identifies intelligent virtual assistant (IVA) use cases and accelerates automation. The solution then delivers a “blueprint” of precisely how businesses can get started with AI or continue to grow their AI capabilities.
Verint is no stranger to the contact centre market and has an established presence in areas of quality monitoring, analytics, knowledge management and compliance.
Key Takeaways from Customers on Intelligent Virtual Assistants:
Engaging senior stakeholders. For a successful deployment, many organisations had to involve senior management in the discussion. These ranged from CIOs, CDOs and CEOs. The conversation around automation and AI for customer service is no longer contained within the contact centre. Many organisations spoke about having senior management involved in the pre and post launch of the virtual assistant deployment. Getting buy-in and feedback from senior management is key as the AI discussion forms part of a broader digital strategy for the organisation. The global Ecosystm AI study, which is live and ongoing, also finds that senior management is the second highest influencer for AI procurement and implementations.
Integrating Knowledge Management to the AI deployment is important. Organisations at the Verint Engage event highlighted that the route to a successful intelligent virtual assistant deployment is to embed knowledge management capabilities into the AI platform. By failing to incorporate knowledge management, the intelligent virtual assistant experience will be poor, leaving customers frustrated.
Working with a vendor that understands contact centres is key. Some of the customers at the event had worked with other well-known brands AI in the market prior to working with Verint. They moved to Verint primarily for two reasons. One was that the cost of deployment was less on the Verint platform and secondly, they wanted to work with a vendor that not only understood AI but that had a deep understanding of the contact centre environment. Compliance, training, speech analytics, coaching and quality monitoring are core capabilities of Verint’s portfolio. These are important elements in the overall deployment of AI.
Striking the right balance between automation and voice. Several of the organisations highlighted the savings realised, when the deployment was done well and fully integrated into knowledge management. Automation will in the long run help reduce contact centre calls and live chat costs. However, it was emphasised that the agent or human element remains important and cannot be ignored. The seamless hand off to the agent when the query cannot be answered is important.
Virtual assistants need to be fed with the right information to make the discussion with the customer engaging. A solid knowledge management strategy is key to the success of a virtual assistant deployment. Without analytics and knowledge management integrated into AI, the CX will be poor leaving customers feeling frustrated. When deployed well, the virtual assistant can help answer most of the queries due to a structured knowledge bank with detailed FAQ. The ability to have it updated regularly and in real time is critical. It is important for contact centres to not rely on full automation within the contact centre.
Verint is starting to win deals in the AI and virtual assistant space with some of the largest brands in Asia Pacific. Some of the customers include those from the financial services sector. Verint’s success is not just in the intelligent virtual assistant market. It is their ability to deliver an all-encompassing solution across self-service, analytics, knowledge management, quality monitoring and compliance.
As part of the very public turnaround plan, Helena Norrman, Ericsson’s SVP and Chief Marketing and Communications Officer and Head of Marketing and Corporate Relations announced the following: Ericsson’s focused strategy continue to be based on a vision to empower an intelligent, sustainable connected world while enabling the full value of connectivity for service providers. Results of the strategy included accelerated cost cut – which was on plan to reduce expenses by 10 Billion Swedish Kroners (SEK), with an improved cash position by over 11 Billion SEK.
While not out of the woods yet, it appeared that the renewed focus on business efficiency, improved end-customer experience and new revenue streams has given Ericsson a level of optimism that hasn’t been seen for at least 4 years. For example, Norrman shared that Ericsson’s networks had become 50% more efficient in energy consumption on footprint and operations optimization. She indicated that new digital services were being rolled out 86% faster than before. Finally, she indicated that Ericsson had achieved 201% RoI in the first year for an IoT-based factory maintenance system.
In his update, Niklas Heuveldop, President and Head of Ericsson North America, suggested that there might be continued changes for the big 4 US-based telecom operators. With a background of a six-fold increase in mobile data, mobile revenue remains flat, blended ARPUs declining, and cellular connections (including IoT) growing by 4.4% from 398 million 3Q-2016 to 434 million 2Q-2018, he indicated that operators would have to look for new revenue streams to stay profitable. This was on top of a new operator market that may change structurally as a result of the T-Mobile/Sprint merger (offering a broad range of spectrum for both consumer and enterprise customers), and the arrival of new wireless network operators.
5G and IoT
The day was dominated with the business opportunities based off 5G networks, as Ericsson continues to look to expand the addressable markets by enabling new revenue streams. For example the combined Critical and Massive IoT markets based off 5G networks could range between $200 – $600 Billion as part of scale driven and performance driven opportunities in markets such as Industry 4.0.
However, this is a new looking Ericsson who shared its new IoT strategy. Jeff Travers, head of IoT, was clear that IoT would follow a path of disciplined growth with goals to:
Capture new revenues through rapid innovation building on 5G and IoT
Make our primary customers, services providers, succeed in new value pools
Use a lean startup approach to validate and scale ideas.
These goals would be achieved off the backs of things that Ericsson does well:
Build a connectivity platform:- IoT Accelerator
Be the forefront partner in Industry 4.0 wireless connectivity
Aggressively position itself as a leading partner in Edge Computing for its operator customers and network partners: – Ericsson EdgeGravity
Processing and providing network insights and analytics :- Ericsson Emodo
5G and IoT have been pushed by the major operators for some time and the industry has been holding its breath as vendor after vendor attempts to craft a profitable business strategy and identify use cases that deliver an acceptable RoI. Most have not yet either reached scale because of the lack of readiness of the whole ICT infrastructure once IoT devices are connected. Too much emphasis has been placed on too few IoT applications at the edge of the network. Too much hope has been placed on Edge Computing without meeting customers’ needs of an end-to-end solution.
However, we belief that Ericsson’s clear focus on connecting IoT devices, while maximizing the edge computing needs through local analytics while enabling operators to partners with cloud service providers will open up vertical industries such as manufacturing to IoT deployments. Ericsson’s solution for wireless capabilities within Industry 4.0 could be readily accepted by customers who want to transform themselves to digital-based businesses.