Five9, a cloud-based contact centre solutions provider announced the acquisition of intelligent virtual agent (IVA) platform provider, Inference Solutions for about USD 172 million. Five9 and Inference Solutions have been partnering for the last couple of years, with Five9 being a reseller for Inference Solutions’ IVA platform. The acquisition is expected to provide a boost to Five9’s AI portfolio, automate contact centre agent activities and provide AI-based omnichannel self-service solutions.
The need to drive greater automation in the contact centre is high on the agenda, and this acquisition demonstrates how important AI and automation is to contact centre modernisation. The old-fashioned ways of long wait times, being passed on through different menus on the IVR and being asked to repeat yourself through the older speech recognition engines is starting to not only frustrate customers but will become obsolete. Based on Ecosystm’s research, close to 60% of contact centres globally stated that investing in machine learning and AI is a top customer experience priority in the next 12 months.
Inference has come a long way since its inception at Telstra Labs
Inference Solutions (founded in 2005) was spun out of Telstra Labs. It has since expanded to the US and developed a suite of solutions in the IVA segment. They have a good partnership strategy with the leading telecom providers globally as well as the UC/contact centre vendors. Inference Solutions uses resellers such as service providers, UC, and contact centre software providers – and these include AT&T, Cisco (Broadsoft), Momentum Telecom, Nextiva, 8×8 and many others. The Inference Studio solution will see a new release in the next few months where the solution will come pre-built with the ability for the contact centre team to pre-load the contact centre conversations. These can be conversations that have been going on for 6 months or longer. The Studio solution will then be able to analyse and understand the underlying intent of the conversation, match the intent so that it can be used to auto train the bots accurately. That process of matching the intent and training is expensive and if you can automate some elements of that, it will bring the cost of the deployment down. Its solution integrates into NLP engines from Google, AWS, and IBM. In Australia they continue to work on patents in close partnerships with Melbourne University and RMIT. Throughout its journey, Inference has built a good base of customers in the US, UK, and Australia.
Five9 to accelerate on its vision of AI and Cloud
Contact centre modernisation is high on the agenda for many organisations and this will lead them to build AI and automation at the core of their customer strategies. The discussion spans across the CEO, Digital and Innovation, and the Contact Centre teams.
Five9 had acquired Whendu, an iPaaS platform provider empowering businesses and developers with no-code, visual application workflow tool, optimised for contact centres in November 2019, and Virtual Observer, an innovative provider of cloud-based workforce optimisation, also known as Workforce Engagement Management (WEM) in February of this year.
The pandemic has resulted in increased engagement of contact centres with customers. Companies are gradually looking for ways to automate tasks, deliver better communication, speech and text recognition, decipher languages, and implement solutions mimicking humans. As a solution to these challenges, IVAs are being viewed as efficient and effective digital workers for a modern contact centre. IVAs represent increased throughput, more accurate results, and better-informed agents.
Successful use cases have shown that conversational AI can reduce calls and repetitive queries by 70-90%. IVRs with monolithic, complicated menus will start becoming unpopular and force contact centres to embark on a modernisation and automation strategy. If we evaluate the shift in priorities after COVID-19, we see that organisations are ramping up their self-service capabilities and their adopt of AI and machine learning (Figure 1).
The acquisition will give Five9 a foothold in the Asia Pacific region with an initial focus on the Australia market. The Australia market is by far the most advanced cloud contact centre market in the Asia Pacific. Five9 gains a team of staff that will help them fuel the contact centre modernisation discussion across the Asia Pacific. As the region has a complex market, the need to work with local carriers and partners will be critical for further expansion. Five9 has made an important acquisition in building in IVA capability into its CCaaS solution.
Click below to access insights from the Ecosystm Contact Centre Study on visibility into organisations’ priorities when running a Contact Centre (both in-house and outsourced models) and the technologies implemented and being evaluated
The Retail industry has had to do a sharp re-think of its digital roadmap and transformation journey – Ecosystm research shows that about 75% of retail organisations had to start, accelerate, or re-focus their digital transformation initiatives. However, that will not be enough as organisations move beyond survival to recovery – and future successes. While retailers will focus on the shift in customer expectations, a mere focus on customer experience will not be enough in 2021. Ecosystm Principal Advisors, Alan Hesketh and Alea Fairchild present the top 5 Ecosystm predictions for Retail & eCommerce in 2021.
This is a summary of the predictions, the full report (including the implications) is available to download for free on the Ecosystm platform here.
The Top 5 Retail & eCommerce Trends for 2021
- There Will Only be Omnichannel Retailers
The value of an omnichannel offer in Retail has become much clearer during the COVID-19 pandemic. Retailers that do not have the ability to deliver using the channel customers prefer will find it hard to compete. As the physical channel becomes less important new revenue opportunities will open up for businesses operating in adjacent market sectors – companies such as food and grocery wholesalers will increasingly sell direct to consumers, leveraging their existing online and distribution capabilities.
Most customers transact on mobile device – either a mobile phone or tablet. New capabilities will remove some of the barriers to using these mobile devices. For one, technologies such as Progressive Web Apps (PWA) and Accelerated Mobile Pages (AMP) will provide a better customer experience on mobile platforms than existing websites, while delivering a user experience at par or better than mobile apps. Also, as retailers become AI-enabled, machine learning engines will provide purchase recommendations through smartwatches or in-home, voice-enabled, smart devices.
- COVID-19 Will Continue to be an Influence Forcing Radical Shifts
In driving the economic recovery in 2021, we will see ‘glocal’ consumption – emphasis on local retailers and global players taking local actions to win the hearts and minds of local consumers. There will be significant actions within local communities to drive consumers to support local retailers. Location-based services (LBS) will be used extensively as consumers on the high street carry more LBS-enabled devices than ever before. Bluetooth beacon technology and proximity marketing will drive these efforts. Consumers will have to opt-in for this to work, so privacy and relationship management are also important to consider.
But people still want to “physically” browse, and design aesthetics of a store are still part of the attraction. In the next 18 months, the concept of virtual stores that are digital twins will take off, particularly in the holiday and Spring clearance sales. Innovators like Matterport can help local retailers gain a more global audience with a digital twin with a limited technological investment. At a minimum, Shopify or other intermediaries will be necessary for a digital shop window.
- The Industry will See Artificial Intelligence in Everything
AI will increase its impact on Retail with an uptake in two key areas.
- Customer interactions. Retail AI will use customer data to deliver much richer and targeted experiences. This may include the ability to get to a ‘segment of one’. Tools will include chatbots that are more functional and support for voice-based commerce using mobile and in-home edge devices. Also, in-store recognition of customers will become easier through enhanced device or facial recognition. Markets where privacy is less respected will lead in this area – other markets will also innovate to achieve the same outcomes without compromising privacy but will lag in their delivery. This mismatch of capability may allow early adopters to enter other geographic markets with competitive offers while meeting the privacy requirements of these markets.
- Supply chain and pricing capabilities. AI-based machine learning engines using both internal and increased sources of external data will replace traditional math-based forecasting and replenishment models. These engines will enable the identification of unexpected and unusual demand influencing factors, particularly from new sources of external data. Modelling of price elasticity using machine learning will be able to handle more complex models. Retailers using this capability will be in a better position to optimise their customer offers based on their pricing strategies. Supply chains will be re-engineered so products with high demand volatility are manufactured close to markets, and the procurement of products with stable demands will be cost-based.
- Distribution Woes Will Continue
Third party delivery platforms such as Wish and RoseGal are recruiting additional international non-Asian suppliers to expand their portfolios. Amazon and AliExpress are leaders here, but there are many niche eCommerce platforms taking up the slack due to the uneven distribution patterns from the ongoing economic situation. Expect to see a number of new entrants taking up niche spaces in the second half of 2021, sponsored by major retail product brands, to give Amazon a run for their money on a more local basis.
As the USPS continues to be under strain, delivery companies like FedEx in the US who partner with the USPS are already suffering from the USPS’s operational slowdown, in both their customer reputation and delivery speed. In 2021, COVID-19 – and workers’ unions – will continue to impact distribution activities. Increased spending in warehouse automation and new retail footprints such as dark stores will be seen to make up for worker shortfalls.
- China’s Retail Models Will Expand into Other Markets
China’s online businesses operate in a large domestic market that is comparatively free of international competitors. Given the scale of the domestic market, these online companies have been able to grow to become substantial businesses using advanced technologies. All the Chinese tech giants – among them Alibaba, ByteDance, DiDi Chuxing, and Tencent – are expanding internationally.
China’s rapidly recovering economy puts those businesses in a strong position to fund a competitive expansion into international markets using their domestic base, particularly with their Government’s promotion of the country’s tech sector. It is harder to impose restrictions on software-based businesses, unlike the approach that we have witnessed the US Government take for hardware companies such as Huawei – placing constraints on mobile phone components and operating systems.
These tech giants also have significant experience in a Big Data environment that provides little privacy protection, as well as leading-edge AI capabilities. While they will not be able to operate with the same freedom in global markets, and there will be other large challenges in translating Chinese experience to other markets – these tech players will be able to compete very effectively with incumbent global companies. Chinese companies also continue to raise capital from US stock exchanges with The Economist reporting Chinese listings have raised close to USD 17 billion since January 2020.
Ecosystm research finds that 47% of organisations re-evaluated cybersecurity risks and management making it the biggest measure undertaken by IT Teams when COVID-19 hit. There is no denying any more that cybersecurity is a key business enabler. This year witnessed cybercrime escalating in all parts of the world and several governments issued advisories warning enterprises and citizens of the increase in the threat landscape, during and post COVID-19. Against this backdrop, Ecosystm Advisors, Alex Woerndle, Andrew Milroy, Carl Woerndle and Claus Mortensen present the top 5 Ecosystm predictions for Cybersecurity & Compliance in 2021.
This is a summary of the predictions, the full report (including the implications) is available to download for free on the Ecosystm platform here.
The Top 5 Cybersecurity & Compliance Trends for 2021
- There will be Further Expansion of M&A Activities Through 2021 and Beyond
As predicted last year, the market is set to witness mergers and acquisitions (M&As) to consolidate the market. The pandemic has slowed down M&A activities in 2020. However, the market remains fragmented and there is a demand for consolidation. As the cyber market continues to mature, we expect M&A activities to ramp up over the next couple of years especially once we emerge from COVID-19. Some organisations that understand the full impact of the shift to remote working and the threats it creates have embraced the opportunity to acquire, based on perceived value due to COVID-19. The recent acquisition of Asavie by Akamai Technologies is a case in point. Asavie’s platform is expected to strengthen Akamai’s IoT and mobile device security and management services.
- After a Year of Pandemic Leniency, Regulators will Get Stricter in 2021
The regulators in the EU appear to have gone through a period of relative leniency or less activity during the first few months of the pandemic and have started to increase their efforts after the summer break. Expect regulators – even outside the EU – to step up their enforcement activities in 2021 and seek larger penalties for breaches.
Governments continue to evolve their Compliance policies across broader sectors, which will impact all industries. As an example, in Australia, the Federal Government has made changes to its definition of critical infrastructure, which brings mandates to many more organisations. Governments have shown an acute awareness of the rise in cyber-attacks highlighted by several high-profile breaches reported in mainstream media. Insider threats – highlighted by Tesla, where an employee raised the allegations of bribery by unknown third parties in exchange for exfiltrating corporate information – will also lead regulators to double down on their enforcement activities.
- The Zero Trust Model Will Gain Momentum
Remote working has challenged the traditional network security perimeter model. The use of personal and corporate devices to access the network via public networks and third-party clouds is creating more opportunity for attackers. Organisations have started turning to a Zero Trust security model to mitigate the risk, applying advanced authentication and continuous monitoring. We expect the adoption of the Zero Trust model to gain momentum through 2021. This will also see an increase in managed services around active security monitoring such as Threat Detection & Response and the increased adoption of authentication technologies. With an eye on the future, especially around quantum computing, authentication technologies will need to continually evolve.
- The Endpoint Will be the Weakest Link
The attack surface continues to grow exponentially, with the increase in remote working, IoT devices and multicloud environments. Remote endpoints require the same, if not higher levels of security than assets that sit within corporate firewalls, and it will become very clear to organisations that endpoints are the most vulnerable. Remote workers are often using unsecure home Wi-Fi connections and unpatched VPNs, and are increasingly vulnerable to phishing attacks. IoT device passwords are often so weak that brute-force attackers can enter networks in milliseconds.
Although endpoint security can be dealt with through strict policies together with hardware or software authentication, the difficult part is to adopt an approach that retains a relatively high level of security without having a too negative an impact on the employee experience. Experience shows that if the security measures are too cumbersome, employees will find ways to circumvent them.
- Hackers Will Turn the Table on AI Security
Cybersecurity vendors are increasingly offering solutions that leverage AI to identify and stop cyber-attacks with less human intervention than is typically expected or needed with traditional security approaches. AI can enhance cybersecurity by better predicting attacks enabling more proactive countermeasures, shortening response times, and potentially saving cybersecurity investment costs. The problem is that the exact same thing applies to the hackers. By leveraging AI, the costs and efforts needed to launch and coordinate large hacker attacks will also go down. Hackers can automate their attacks well beyond the use of botnets, target and customise their attacks with more granularity than before and can effectively target the biggest weakness of any IT security system – people.
Already, phishing attacks account for many of the breaches we see today typically by employees being tricked into sharing their IT credentials via email or over the phone. As we move forward, these types of attacks will become much more sophisticated. Many of the deepfake videos we see have been made using cheap or free AI-enabled apps that are easy enough for even a child to use. As we move into 2021, this ability to manipulate both video and audio will increasingly enable attackers to accurately impersonate individuals.
Juniper Networks has entered into an agreement to acquire Massachusetts-based 128 Technology for USD 450 million that will enhance its AI-driven enterprise networking portfolio. The deal is expected to close by the end of 2020. The combined portfolio of 128 Technology’s Session Smart™ networking and Juniper’s Mist AI platform will bolster Juniper’s AI expertise in SD-WAN technology.
Ecosystm Principal Advisor, Ashok Kumar says, “Juniper Networks has been a major player in enterprise networking from the core to the edge of the network with SD-WAN, WLAN, and AI-driven applications aware network products. Juniper had strengthened their enterprise networks portfolio with the acquisition of WLAN vendor Mist Systems in 2019 which provided cloud-based management and an AI engine. With Juniper’s acquisition of 128 Technology the network transformation process in the industry will continue.”
The platform created by 128 Technology bases decisions on real-time sessions instead of legacy static systems and networking approaches. The newer system created through this by Juniper will use AI to automate sessions and policies for a full AI-driven WAN operation – from initial configuration to customisable actions across various levels, and AI-driven support.
In addition to this, the automation is expected to reduce overheads, minimise IT costs and deliver better client and user-experience through automated network optimised for client-to-cloud. The two companies also aim to optimise the network and user experiences for voice, 5G and collaboration. Juniper continues to evolve the enterprise networking portfolio adding to the acquisition of WLAN start up Mist Systems for USD 405 million last year. Juniper’s AI -driven SD-WAN and networking products and services for enterprises and end-users is a step towards smart LAN and WAN environments.
A recent study on The Future of the Secure Office Anywhere, conducted by Ecosystm on behalf of Asavie found that 56% of global organisations are looking to improve employee experience, as they look beyond the COVID-19 crisis. The feedback from over 1,000 business and technology leaders globally, also finds that 55% of the organisations are also focused on digital transformation. This will require a re-evaluation of enterprise network solutions, to give employees seamless access to company resources as they continue to work remotely.
“Enterprise communications is being transformed to a user-centric, session-oriented distributed model from a legacy network-oriented centralised WAN model. In the new remote working environment of Office Anywhere, the traditional use of VPN in combination with first-generation SD-WAN will become an impediment going forward. Enterprises will need to re-design networks to address each end-user’s unique needs and their access to applications and all business resources as though they were a Branch of One.”
IBM announced its intention to spin off its infrastructure services business as a separate public company, allowing Big Blue to focus on hybrid cloud and AI. The newly formed entity, temporarily named NewCo, will offer project and outsourcing services that currently fall under its GTS business unit. NewCo will have a staff of around 90,000 employees and is expected to earn revenue of about $19B. While GTS has experienced declining revenue for some time now, IBM believes that the split will unlock growth and put it on a path to recovery.
Once the Red Hat acquisition closed last year and the tag team of Jim Whitehurst and Arvind Krishna were announced, it became clear that IBM was gearing up to become a leaner, more agile leader in the hybrid cloud space. One of two possible courses seemed apparent – either wither away for years until IBM was small enough to become nimble, or take bold action. IBM has opted for the latter and is likely to be rewarded for it. The new IBM will have revenue of around $59B, well short of its peak at over $100B, but sacrificing turnover for margin and growth gives it a more positive long-term outlook.
Stripping back IBM to become smaller, faster growing, and more profitable, will help solve many of its greatest challenges. Significant investment into growth segments will become more palatable without the financial burden of the declining infrastructure services unit. The well-needed cultural change and drive to think like a start-up will become more practical in the new IBM.
NewCo to Build New Cloud Partnerships
IBM’s infrastructure services unit has had some great success in larger, complex, hybrid cloud deals recently – but at the lower end of the market there have been many head winds. Public cloud providers have eroded what was once a lucrative compute and storage services market. At the same time, application service providers, like Accenture, TCS, and HCL have been pivoting towards infrastructure. Untethering infrastructure services makes a turnaround story more likely, giving NewCo greater flexibility and speed, which clients have been crying out for.
The greatest benefit to NewCo will be the ability to freely partner with other cloud providers, like AWS, Microsoft, and Google. Although IBM has made noises about being willing to embrace its competitors, this was not necessarily implemented on the ground nor was it reciprocated.
It is no secret that GTS and GBS have had a rocky relationship since day one. The split will reassure clients that each of them is agnostic and relieve any internal pressure to partner unless it is best for the client. While elements of this decision look like the unfolding of a long-term strategy that began under Ginni Rometty, it does, however, leave open the question of why GTS and GBS were more closely integrated over the last few years. This also means IBM is moving in the opposite direction to its competitors, who are shifting towards offerings that cover the full stack of services from infrastructure up to applications.
What Lies Ahead for IBM
One detail that is not immediately certain is the fate of IBM security services, which could be integrated with security software at IBM, spun out with the rest of infrastructure services, or even split into consulting and delivery. An important differentiator for IBM has been its ability to build in security at the beginning of transformation projects making final placement a difficult decision.
It might be tempting to predict that next IBM would couple its Systems unit and Support Services to be spun off or sold although Mr. Krishna ruled that out. Over the long term, these are both financially underperforming units but there is an advantage to building the core infrastructure that critical workloads are run on.
Each new IBM CEO has had a make or break moment and Mr. Krishna has decided that his will come early. For the company to thrive for another 100 years it needed to place a big bet and it could not have come soon enough.
Telstra and Microsoft have extended their partnership to jointly build solutions harnessing the capabilities of AI, IoT, and Digital Twin technologies in Australia. The partnership will also enable both companies to work on sustainability, emission reduction, and digital transformation initiatives.
The adoption of cloud and 5G technology is already on the rise and creating opportunities across the globe. The Microsoft-Telstra partnership is set to bring together the capabilities of both providers for businesses in Australia and globally. Their focus on AI, IoT, cloud and 5G will enable Australia’s developers and independent software vendors (ISVs) to leverage AI with low latency 5G access to drive efficiency, and enhance decision making. This will also see practical applications and new solutions in areas like asset tracking, supply chain management, and smart spaces to enhance customer experience.
Technology Enhancing the Built Environment
Microsoft Azure and Telstra’s 5G capabilities will come together to develop new industry solutions – the combination of cloud computing power and telecom infrastructure will enable businesses and industries to leverage a unified IoT platform where they can get information through sensors, and perform real-time compute and data operations. Telstra and Microsoft will also build digital twins for Telstra’s customers and Telstra’s own commercial buildings which will be initially deployed at five buildings. Upon completion, the digital twin will enable Telstra to form a digital nerve centre and map physical environments in a virtual space based on real-world models and plot what-if scenarios.
Telstra CEO, Andy Penn says, “If you think about the physical world – manufacturing, cities, buildings, mining, logistics – the physical world hasn’t really been digitised yet. So, how do you digitise the physical world? Well, what you do is put sensors into physical assets. Those sensors can draw information around that physical asset, which you can then capture and then understand.”
Ecosystm Principal Advisor, Mike Zamora finds the comment interesting and says, “It isn’t so much that the physical world is digitized – it is more about how digital tools enhance and enable the physical world to be more effective to help the occupier of the space. This has been the history of the physical space. There have been many ‘tools’ over time to help the physical world – the elevator in the late 1880s enabled office buildings to be taller; the use of steel improved structural support, allowing structural walls to be thinner and buildings taller. These two ‘tools’ enabled the modern skyscraper to be born. The HVAC system developed in the early 1900s, enabled occupants to be more comfortable inside a building year-round in any climate.”
“Digital tools (sensors, etc) are just the latest to be used to enhance the physical space for the occupant. Digital twins enable an idea to be replicated in 3D – prior to having to spend millions of dollars and hundreds of man hours to see if a new idea is viable. Its advent and use enable more experimentation at a lower cost and faster set up. This equates into a lower risk. It is a welcomed tool which will propel the experimentation in the physical world.”
Talking about emerging technologies, Zamora says, “Digital twins along with other digital tools, such as 3D printing, AI, drones with 4K cameras and others will enable the built environment to develop at a very quick pace. It is the pace that will be welcomed, as the built environment is typically a slow-moving asset (pardon the pun).”
“Expect the Built Environment developers, designers, investors, and occupiers to welcome the concept. It will allow them to dream of the possible.”
Telstra and Microsoft – Joint Goals
Telstra and Microsoft have partnered over the years over multiple projects. Last year, the companies partnered to bring Telstra’s eSIM functionality to Windows devices for data and wireless connectivity; they have also worked on Telstra Data Hub for secured data sharing between data producers, businesses and government agencies; and most recently collaborated on Telstra’s exclusive access to Xbox All Access subscription service to Australian gamers with the announcement of Microsoft’s Xbox Series X and Xbox Series S gaming consoles expected to release in November.
This announcement also sees them work jointly towards their sustainability goals. Both companies are committed to sustainability and addressing climate change. Earlier this year, Microsoft announced its plans to be carbon negative by 2030, while Telstra has also set a target to generate 100% renewable energy by 2025 and reducing its absolute carbon emissions by 50% by the same time. To enable sustainability, Telstra and Microsoft are exploring technology to reduce carbon emissions. This includes further adoption of cloud for operations and services, remote working, and piloting on real-time data reporting solutions.
Telstra also aims to leverage Microsoft technology for its ongoing internal digital transformation, adopting Microsoft Azure as its cloud platform to streamline operations, and infrastructure modernisation, including transition from legacy and on-premise infrastructure to cloud based applications.
Smarter buildings and public facilities have long been of interest to architects and developers. Innovators can see that the promise of intelligent data used for spatial design can transform how we work, live and play.
How can Big Data be used for intelligent building design? There are a consortia of companies trying to figure this out together. I will discuss the Building 4.0 Co-operative Research Centre (CRC) in Australia.
I have already been examining the new approaches to using big data in facilities management. This is done by developing smarter office spaces, embedded with devices employing Ambient Intelligence (AmI). Research looked at how the intelligent use of big data contributed to building an environment with greater energy efficiency, optimised space utilisation, enhanced workplace experience and occupants’ comfort. This includes sound masking, the use of lighting for enhance environments, and sensors for occupancy for hygiene controls.
Ambient Intelligence (AmI)
AmI refers to electronic environments that are sensitive and responsive to the presence of employees, residents or visitors. These environments can have ecosystems (pun intended) of different IoT devices communicating with each other.
There is a real emphasis here on edge computing, sensors and other IoT devices, and building intelligence into the edge for near real-time decision making closer to where the problem may sit. Ecosystm research finds that construction firms focus a significant amount of IoT investment for building management and energy management (Figure 1).
For example, if an HVAC system is on the verge of malfunction, the system could send a message for a repair intervention. When it comes to AI, predictive maintenance and surveillance are two of the leading use cases in the construction industry (Figure 2).
Building 4.0 Co-operative Research Centre (CRC)
In Australia, this push for sustainable and smarter building development is being driven by a consortium of companies looking at Big Data and infrastructure development for buildings. This year, the Building 4.0 Co-operative Research Centre (CRC) has been awarded a USD 19.5 million grant to focus on medium to long-term industry-led collaborations that can assist in driving the growth of new industries. The Australian building and construction industry is a major economic engine that contributes 13% of GDP and employs over 1.4 million Australians. Development of the Building 4.0 CRC makes sense and is timely given the current pandemic and economic conditions.
Part of its research program focus on develop new building processes and techniques through leveraging the latest technologies, data science and AI to ultimately improve all aspects of the key building phases. Their overall ecosystem is designed for enablement of several use cases (Figure 3).
The Building 4.0 CRC’s principle aims are “to decrease waste; create buildings that are faster, cheaper, and smarter; and capture new opportunities by facilitating collaborative work between stakeholders across the whole value chain in cooperation with government and research organisations.”
Green Star, the rating system which was created by Green Building Council of Australia (GBCA) in 2003, rates the sustainability of buildings, fit outs and communities through Australia’s largest national, voluntary, holistic rating system. The GBCA is a partner organisation in the Building 4.0 CRC – as are many other major organisations in construction and trade, all pulling together here, for innovative efforts for the industry.
Where might the Building 4.0 CRC effort make an impact? Its collaborative structure of industry, academia, vocational trade organisation and governmental bodies harness innovative ideas to transmit them to transformative practices of industry and construction partners.
To be smarter, one must work smarter and more efficiently. A consortia such as this pulls the best minds together to try to accelerate industry efforts for intelligent design with data.
Contact centres were already on a path to modernisation – which got accelerated by the COVID-19 crisis. The need for omnichannel delivery and better insights from customer data has forced contact centres to adopt cloud solutions. Ecosystm Principal Advisor Audrey William says, “There is still a disconnect between integrating and synchronising customer data between Sales, Marketing and Customer Teams. However, the market is starting to see contact centre vendors work closer with vendors in customer experience management segment.”
Genesys and Adobe are collaborating on integrating Genesys cloud and the Adobe Experience Platform. The deeper integration of both platforms is aimed to give organisations a better omnichannel presence. The platform is live for users and Genesys and Adobe will introduce other features and capabilities throughout 2020. Genesys is already a partner of Adobe’s Exchange Program designed for technology partners to supplement Exchange Marketplace with extensions and applications for Adobe Creative Cloud users.
Augmenting the CX journey through Data Synchronization
Ecosystm data finds that 62% of contact centres have driving omnichannel experience as a key customer experience (CX) priority and 57% want to analyse data across multiple data repositories. However, when asked about the challenges of driving consistent CX, data access and integration appears to be a barrier in achieving their priorities. These challenges are the reason why getting a “true view” of the customer data has been an arduous task and achieving consistent CX continues to be a struggle.
William says. “The customer data collected by a particular service or department does not always move along in real-time with the customer interactions across different touchpoints. This complicates maintaining a real-time customer profile and impacts the CX.”
“Sales and Marketing have different KPIs and tend to view customer data from different angles. The data from in-store, Marketing and Sales interactions sits within departmental silos. They may deal with the same customers and not follow them through their entire journey. This leads to missed opportunities in reaching out to them at the right time with the right products to upsell, resell or provide better CX. Data synchronisation across channels, would solve that problem.”
Integrating Genesys and Adobe Experience Platform will give organisations the capability to provide contact centre agents with real-time customer data and profiles from a single point to provide an personalised experience. The platform is powered by Genesys Predictive Engagement that uses AI to provide more intelligence based on past interactions to drive effective, data-driven conversations. In addition to this, the partnership also enables businesses and marketing departments to customise campaigns and extend their digital and voice capabilities for optimal conversions. William says, “The ability to use AI to understand customer intent, behaviour and patterns is critical as it will allow brands to re-look at how to design the customer journey. When you keep using the same and outdated profile, it will be hard to have discussions around intent, customer interest and assess how customer priorities have changed. Accurate and automate data profiling will lead to more targeted and accurate marketing campaigns.”
Genesys Deepening Industry Partnerships
Genesys is re-shaping its strategy on Contact Centre as a Service (CCaaS) offerings through partnerships and working on its vision of providing Experience as a Service to its global clients. The need for CCaaS has been accelerated by the pandemic. Last month Genesys signed a five year deal with Infosys to develop and deploy cloud CX and contact centre solutions.
Earlier this year, Genesys partnered with MAXIMUS, a US Government services provider to set up the MAXIMUS Genesys Engagement Platform, an integrated, cloud-based omnichannel contact centre solution driven by the government requirement for public sector organisations to provide seamless customer experiences similar to those offered in the private sector.
The company has also partnered with various other industry leaders like Microsoft, Google Cloud, and Zoom to roll out cloud-based innovations to benefit customers.
Click below to access insights from the Ecosystm Contact Centre Study on visibility into organisations’ priorities when running a Contact Centre (both in-house and outsourced models) and the technologies implemented and being evaluated
Last week, NVIDIA announced that it had agreed to acquire UK-based chip company Arm from Japanese conglomerate SoftBank in a deal estimated to be worth USD 40 billion. In 2016, SoftBank had acquired Arm for USD 32 billion. The deal is set to unite two major chip companies; power data centres and mobile devices for the age of AI and high-performance computing; and accelerate innovation in the enterprise and consumer market.
Rationale for the Deal
NVIDIA has long been the industry leader in graphics chips (GPUs), and a smaller but significantly profitable player in the chip stakes. With graphic processing being a key component in AI applications like facial recognition, NVIDIA was quick to capitalise. This allowed it to move into data centres – an area long dominated by Intel who still holds the lion’s share of this market. NVIDIA’s data centre business has grown tremendously – from near zero less than ten years ago to nearly USD 3 billion in the first two quarters of this fiscal year. It contributes 42% of the company’s total sales.
The gaming PC market has been the fastest-growing segment in the PC market. The rare shining light in an otherwise stagnant-to-slightly declining market. NVIDIA has benefited greatly from this with a huge jump in their graphics revenues. Its GeForce brand is one of the most desired in the industry. However, with their success in AI, NVIDIA’s ambition has now grown well beyond the graphics market. Last year NVIDIA acquired Mellanox – who makes specialised networking products especially in the area of high-performance computing, data centres, cloud computing – for almost USD 7 billion. There is clearly a desire to expand the company’s footprint and position itself as a broad-based player in the data centre and cloud space focused on AI computing needs.
The acquisition of Arm though adds a whole new dimension. Arm is the leading technology provider in the mobile chip market. A staggering 90% of smartphones are estimated to use Arm technology. Arm is the colossus of the small chip industry – having crossed 20 billion in unit shipments in 2019.
Acquiring Arm is likely to result in NVIDIA now having a play in the effervescent smartphone market. But the company is possibly eyeing a different prize. Jensen Huang, Founder and CEO of NVIDIA said “AI is the most powerful technology force of our time and has launched a new wave of computing. In the years ahead, trillions of computers running AI will create a new internet-of-things that is thousands of times larger than today’s internet-of-people. Our combination will create a company fabulously positioned for the age of AI.”
With thoughts of self-driving cars, connected homes, smartphones, IoT, edge computing – all seamlessly working with each other, the acquisition of Arm provides NVIDIA a unique position in this market. As the number of connected devices explodes, as many billions of sensors become an ubiquitous part of 21st century living, there is going to be a huge demand for low power processing everywhere. Having that market may turn out to be a larger prize than the smartphone market. The possibilities are endless.
While this deal is supposed to be worth around USD 40 billion, somewhere between USD 23-28 billion is going to be paid in the form of NVIDIA stock. This brings us to an extremely interesting dynamic. At the beginning of 2016 NVIDIA’s market cap was less than USD 20 billion. Mighty Intel was at USD 150 billion. AMD the other player in the market for chips who also sell graphics was at a mere USD 2 billion. In July this year, NVIDIA’s value passed Intel’s and today it is sitting at around USD 300 billion! Intel with a recent dip is now close to USD 200 billion. AMD too with all the tech-fueled growth in recent years has grown to just shy of USD 100 billion market cap.
What this tells us is that the stock portion of the deal is cheaper for NVIDIA today by around 55% compared to if this deal was consummated on 1st January 2020. If there was a right time for NVIDIA to buy – it is now. This also shows the way the company has grown revenue at a massive clip powered by Gaming PCs and AI. The deal to buy Arm appears to be a very good idea, which would establish NVIDIA as a leader in the chip industry moving forward.
Ecosystm Comments
While there appears to be some good reasons for this deal and there are some very exciting possibilities for both NVIDIA and Arm, there are some challenges.
The tech industry is littered with examples of large mergers and splits that did not pan out. Given that this is a large deal between two businesses without a large overlap, this partnership needs to be handled with a great deal of care and thought. The right people need to be retained. Customer trust needs to be retained.
Arm so far has been successful as a neutral provider of IP and design. It does not make chips, far less any downstream products. It therefore does not compete with any of the vendors licensing its technology. NVIDIA competes with Arm’s customers. The deal might create significant misgivings in the minds of many customers about sharing of information like roadmaps and pricing. Both companies have been making repeated statements that they will ensure separation of the businesses to avoid conflicts.
However, it might prove to be difficult for NVIDIA and Arm to do the delicate dance of staying at arm’s length (pun intended) while at the same time obtaining synergies. Collaborating on technology development might prove to be difficult as well, if customer roadmaps cannot be discussed.
Business today also cannot escape the gravitational force of geo-politics. Given the current US-China spat, the Chinese media and various other agencies are already opposing this deal. Chinese companies are going to be very wary of using Arm technology if there is a chance the tap can be suddenly shut down by the US government. China accounts for about 25% of Arm’s market in units. One of the unintended consequences which could emerge from this is the empowerment of a new competitor in this space.
NVIDIA and Arm will need to take a very strategic long-term view, get communication out well ahead of the market and reassure their customers, ensuring they retain their trust. If they manage this well then they can reap huge benefits from their merger.
