Complexity and trust: EY’s evolving approach to risk

Internal risk professionals may have the best internal intelligence

Setting the stage for changes at EY and in the broader market, Frank Leenders, EY’s Digital & Innovation lead based in the Netherlands, explained that the firm helps clients “reframe the future” and focus on “trusted transformation,” which comes through six different lenses: Investor Trust, Organizational Trust, Third-party Trust, Customer Trust, Technology Trust and Regulatory Trust. Leenders added that the COVID-19 pandemic helped expose in greater detail how clients think about risk and trust and how different lines of defense can become sources of organizational intelligence.

Risk-oriented functions within clients’ organizations brought forward insights using data analytics and provided timely analysis on strengths and weaknesses, as revealed by internal responses to operational challenges created by the pandemic (and echoed by EY’s own Megatrends pandemic-related survey findings). While many clients’ digital agendas had been accelerating over the past four years, 2020 became an inflection point in understanding how using data and technology for timely insights related to risk could show not only what could go wrong but also how clients could improve their operations and enhance overall risk management. In short, internal audit and risk professionals likely have the best intelligence and insight into their own organizations — skills that are critical to running the business and optimizing opportunities during a prolonged crisis.

After walking through details on EY Resilience Edge — an AI-powered emerging risk modeling and scenario planner developed with IBM Watson and IBM Research — the EY partners described the EY VIA (Virtual Internal Audit) platform, a tool for end-to-end digitalization of the internal audit process and activities, including continuously ingesting data and developing analytics on clients’ ERP environments. EY uses the platform, which includes risk monitoring and what EY has named its Flexible Audit Response Model, not only as a tool for delivering on its internal audit engagements but also as a stand-alone Software as a Service offering. In addition to the technology tools and bespoke configurations, EY has the opportunity to provide change management consulting as clients adopt new tools and processes.

Regulatory Trust as the gateway to trusted complexity

Shifting to Regulatory Trust, which EY defines as managing “the regulatory burden with innovative frameworks that make compliance an enabler, allowing organizations to pursue sustainable pathways,” Federico Guerreri, EY’s Global Financial Services Risk leader, noted that stakeholders and customers have increased pressures around understanding and evaluating an enterprise’s full ecosystem, including suppliers, particularly as the end of the COVID-19 pandemic is in sight. For EY, “compliance and conduct” have become “the most important offerings” as clients in highly regulated sectors, including financial services and energy and utilities, recognize new risks associated with ecosystem partners’ behaviors and the regulators’ view of those risks.

For EY, this leads to “working from the future back to transform compliance” and infusing technology to create “continuous, dynamic monitoring.” Guerreri specifically pointed out that EY’s clients see the potential risk impacts of new regulations as a board-level issue, further raising the profile of risk professionals as well as the need for EY’s services and solutions centered on compliance.

Building on that point, Amy Gennarini, EY’s America’s FSO Risk Technology leader, said the organizations most successfully addressing risk have explicitly tied together regulatory obligations and business attributes. By integrating and making complex linkages across an entire organization, a business can enable faster and more comprehensive transformation. For TBR, this insight stands out as critical to understanding how EY sees the future of risk, trust and digital transformation: Complex linkages help identify risks and facilitate transformations. Complexity, usually a byword for making things too complicated, can be hugely beneficial for enterprises, if managed properly.

In late January, TBR spoke with leaders in EY’s risk consulting services practice about recent portfolio developments and expectations for 2021. Three critical elements stood out for TBR. First, the maturation of EY’s risk consulting services practice (which sits in the firm’s Business Consulting domain) provides the firm with a solid foundation to build new offerings and help clients with the transformational opportunities connected to risk, not simply the obligatory or compliance-related aspects of risk management. Second, the firm remains committed to making technology an enabler, through innovation and at scale, while keeping the fundamental consulting business model intact. Third, and most critically for understanding EY’s overall thinking on risk, the firm fully embraces the complexities that arise when applying technologies at scale to every component of a client’s organization and utilizes these complexities to build trust while addressing risk. In EY’s approach, complex linkages between data, technology platforms and internal business groups help identify risk and thus help clients’ transformations. In short, complexity can be good if handled well.

Peraton’s purchase of Perspecta: The latest move in the quest for scale in federal IT

Scale is king

Peraton’s purchase of Northrop Grumman’s (NYSE: NOC) IT services business and pending acquisition of Perspecta (NYSE: PRSP) are clearly aimed at obtaining the scale necessary to compete for large enterprise and digital transformation deals, which have become common in the public sector IT services market.

Peraton is hardly the first in this space to make such transformative purchases. SAIC (NYSE: SAIC) made two large acquisitions in two years with Engility and Unisys Federal in 2019 and 2020, respectively; General Dynamics IT (NYSE: GD) purchased CSRA in 2018; and Leidos (NYSE: LDOS) perhaps started the trend with its purchase of Lockheed Martin (NYSE: LMT) Information Systems & Global Solutions (IS&GS) in 2016. As federal agencies seek to modernize and transform their operations to take advantage of emerging technologies such as cloud, 5G, AI, machine learning, and AR and VR, large monolithic deals, such as the Next Generation Enterprise Networks Recompete (NGEN-R), Defense Enterprise Office Solution (DEOS), Global Solutions Management – Operations II (GSM-O II) and Joint Enterprise Defense Infrastructure (JEDI), among others, illustrate the importance of being able to deliver these technologies and surrounding services at scale.

Companies such as Leidos, General Dynamics Technologies (GDT) and Booz Allen Hamilton (NYSE: BAH) have come out as the clear winners on the vast majority of multibillion-dollar deals like the ones mentioned above, thanks largely to their ability to deliver digital transformation at scale and proven past performance. TBR believes this trend is only going to become more pervasive in 2021 as the federal government pursues continued IT modernization across defense, intelligence and civilian agencies. Alternatively, if the federal government begins to move toward smaller contracts in terms of total value and/or duration, Peraton’s newly acquired scale would no longer be an asset. However, this is likely only a long-term concern, as the federal government shows no signs of ramping down contract sizes or duration for the foreseeable future.  

Why Perspecta had to die

Perhaps nothing illustrates the importance of scale more than the death of Perspecta. When the company was formed from the merger of DXC Technology’s (NYSE: DXC) public sector business with Vencore and KeyPoint Government Solutions in 2018, the clear intention was to create a federally focused contractor of scale that could compete for the large transformative deals that have become commonplace. Most important among these was the NGEN-R contract, whose predecessor, the NGEN contract, was held by Perspecta and represented nearly 20% of the company’s total revenue.

Despite this, Perspecta was unable to win the $7.7 billion NGEN-R, which was awarded to Leidos and will begin to ramp up in 2H21, leaving Perspecta with a loss of 19% of its total revenue, which cannot be replaced quickly enough to avoid steep losses year-to-year.

Losing the NGEN-R bid put Perspecta in a very difficult place, beyond the obvious financial burden. The company’s leadership has fielded tough questions from Wall Street about where the company is headed without NGEN-R. Perspecta has been unable to win any comparable deals, such as DEOS or GSM-O II, on which it has bid in the last year or two. Additionally, the company does not have as strong of a portfolio in emerging technologies as many of its competitors, and it is highly unlikely Perspecta on its own could have returned to growth quickly enough to appease its stakeholders. In this context, it is clear that Perspecta needed to die. With its pending sale to Peraton, there is opportunity to reemerge as a more formidable competitor in the federal IT services market, free from the burdens associated with its past failures as part of Peraton.

On Jan. 27, Perspecta announced its purchase by Peraton, a Veritas Capital portfolio company, for an all-cash price of $7.1 billion. This acquisition comes on the heels of Peraton’s purchase of Northrop Grumman’s IT services business, which closed Feb. 1 (outlined in TBR’s special report End game for Northrop Grumman’s IT services business). The resulting company, which will retain the Peraton name, will be a $7.6 billion to $7.9 billion business on a pro forma basis with approximately 24,300 employees, in TBR’s estimates.

Partnership with Palantir further unlocks IBM’s AI value

Since Arvind Krishna took the helm as CEO in April, IBM has engaged in a series of acquisitions and partnerships to support its transformative shift to fully embrace an open hybrid cloud strategy. The company is further solidifying the strategy with the announcement that IBM and Palantir are coming together in a partnership that combines AI, hybrid cloud, operational intelligence and data processing into an enterprise offering. The partnership will leverage Palantir Foundry, a data integration and analysis platform that enables users to easily manage and visualize complex data sets, to create a new solution called Palantir for IBM Cloud Pak for Data. The new offering, which will be available in March, will leverage AI capabilities to help enterprises further automate data analysis across a wide variety of industries and reduce inherent silos in the process.

Combining IBM Cloud Pak for Data with Palantir Foundry supports IBM’s vision of connecting hybrid cloud and AI

A core benefit that customers will derive from the collaboration between IBM (NYSE: IBM) and Palantir (NYSE: PLTR) is the easement of the pain points associated with adopting a hybrid cloud model, including integration across multiple data sources and the lack of visibility into the complexities of cloud-native development. By partnering with Palantir, IBM will be able to make its AI software more user-friendly, especially for those customers who are not technical by nature or trade. Palantir’s software requires minimal, if any, coding and enhances the accessibility of IBM’s cloud and AI business.

According to Rob Thomas, IBM’s senior vice president of software, cloud and data, the new offering will help to boost the percentage of IBM’s customers using AI from 20% to 80% and will be sold to “180 countries and thousands of customers,” which is “a pretty fundamental change for us.” Palantir for IBM Cloud Pak for Data will extend the capabilities of IBM Cloud Pak for Data and IBM Cloud Pak for Automation, and according to a recent IBM press release, the new solution is expected to “simplify how businesses build and deploy AI-infused applications with IBM Watson and help users access, analyze and take action on the vast amounts of data that is scattered across hybrid cloud environments, without the need for deep technical skills.”

By drawing on the no-code and low-code capabilities of Palantir’s software as well as the automated data governance capabilities embedded into the latest update of IBM Cloud Pak for Data, IBM is looking to drive AI adoption across its businesses, which, if successful, can serve as a ramp to access more hybrid cloud workloads. IBM perhaps summed it up best during its 2020 Think conference, with the comment: “AI is only as good as the ecosystem that supports it.” While many software companies are looking to democratize AI, Red Hat’s open hybrid cloud approach, underpinned by Linux and Kubernetes, positions IBM to bring AI to chapter 2 of the cloud.

For historical context, it is important to remember that the acquisition of Red Hat marked the beginning of IBM’s dramatic transformation into a company that places the values of flexibility, openness, automation and choice at the core of its strategic agenda. IBM Cloud Paks, which are modular AI-powered solutions that enable customers to efficiently and securely move workloads to the cloud, have been a central component of IBM’s evolving identity.

After more than a year of messaging to the market the critical role Red Hat OpenShift plays in IBM’s hybrid cloud strategy, Big Blue is now tasked with delivering on top of the foundational layer with the AI capabilities it has been tied to since the inception of Watson. By leveraging the openness and flexibility of OpenShift, IBM continues to emphasize its Cloud Pak portfolio, which serves as the middleware layer, allowing clients to run IBM software as close or as far away from the data as they desire. This architectural approach supports IBM’s cognitive applications, such as Watson AIOps and Watson Analytics, while new integrations, such as those with Palantir Foundry will support the data integration process for customers’ SaaS offerings.

The partnership will provide IBM and Palantir with symbiotic benefits in scale, customer reach and capability

The partnership with IBM is a landmark relationship for Palantir that provides access to a broad network of internal sales and research teams as well as IBM’s expansive global customer base. To start, Palantir will now have access to the reach and influence of IBM’s Cloud Paks sales force, which is a notable expansion from its current team of 30. The company already primarily sells to companies that have over $500 million in revenue, and many of them already have relationships with IBM. By partnering with IBM, Palantir will not only be able to deepen its reach into its existing customer base but also have access to a much broader customer base across multiple industries. The partnership additionally provides Palantir with access to the IBM Data Science and AI Elite Team, which helps organizations across industries address data science use cases as well as the challenges inherent in AI adoption.

Partners such as Palantir support IBM, including by helping the company scale Red Hat software and double down on industry cloud efforts

As a rebrand of its partner program, IBM unveiled the Public Cloud Ecosystem program nearly one year ago, onboarding key global systems integrators, such as inaugural partner Infosys, to push out IBM Cloud Paks solutions to customers on a global scale. As IBM increasingly looks up the technology stack, where enterprise value is ultimately generated, the company is emphasizing the IBM Cloud Pak for Data, evidenced by the November launch of version 3.5 of the solution, which offers support for new services.

In addition, IBM refreshed the IBM Cloud Pak for Automation while integrating robotic process automation technology from the acquisition of WDG Automation. Alongside the product update, IBM announced there are over 50 ISV partners that offer services integrated with IBM Cloud Pak for Data, which is also now available on the Red Hat Marketplace. IBM’s ability to leverage technology and services partners to draw awareness to its Red Hat portfolio has become critical and has helped accelerate the vendor’s efforts in industry cloud following the launch of the financial services-ready public cloud and the more recent telecommunications cloud. New Cloud Pak updates such as these highlight IBM’s commitment to OpenShift as well as its growing ecosystem of partners focused on AI-driven solutions.

Palantir’s software, which serves over 100 clients in 150 countries, is diversified across various industries, and the new partner solution will support IBM’s industry cloud strategy by targeting AI use cases. Palantir for IBM Cloud Pak for Data was created to mitigate the challenges faced by multiple industries, including retail, financial services, healthcare and telecommunications — in other words, “some of the most complex, fast-changing industries in the world,” according to Thomas. For instance, many financial services organizations have been involved in extensive M&A activity, which results in a fragmented and dispersed environment involving multiple pools of data.

Palantir for IBM Cloud Pak for Data will remediate associated challenges with rapid data integration, cleansing and organization. According to IBM’s press release, Guy Chiarello, chief administrative officer and head of technology at Fiserv (Nasdaq: FISV), an enterprise focused on supporting financial services institutions, reacted positively to the announcement, stating, “This partnership between two of the world’s technology leaders will help companies in the financial services industry provide business-ready data and scale AI with confidence.” 

EY Blockchain Asia: The revolution starts now

EY’s blockchain world

EY’s Asia-Pacific Blockchain Summit started with the firm’s Global Blockchain leader, Paul Brody, making three clear points. First, EY is committed to China and to the region, seeing huge potential for blockchain growth. Second, EY is committed to public blockchain as the long-term solution for most business and governments. Third, Brody’s concept of blockchain as the bridge between enterprises — as the tool to tackle the previously uncrossable chasm between different enterprises’ data and business processes — remains a driving force behind how EY sees the future of blockchain, in Asia and the rest of the world.

TBR’s December 2020 special report EY 2021: Hybrid and omnipresent discussed these latter two points: “Public blockchain, in Brody’s words, ‘will do for networks of enterprises and business ecosystems what ERP did for the single company.’ Brody added that conducting B2B [business-to-business] transactions over a public blockchain increases transparency and compliance with commercial terms.” The February event carried that discussion further, and specifically into Asia. 

EY and public blockchain in China  

Brody outlined a few major developments for EY in China, with all his comments reinforced by the subsequent panel speakers and EY professionals who provided additional color, both for the China-specific elements and developments impacting the entire region. In short:

  • EY has formerly joined the Financial Blockchain Shenzhen Consortium (FISCO) and made the firm’s EY OpsChain solution available on the FISCO BCOS (Be Credible, Open & Secure) platform.
  • EY intends to deploy its entire Ethereum suite of solutions to users in China.
  • EY has fully localized its blockchain entrée — blockchain.ey.com — for the Chinese market.

In addition, Brody touched on the opportunity blockchain presents in Asia, highlighting China and the Chinese market’s emphasis on digital payments as a precursor to blockchain adoption as well as a robust startup scene. He also highlighted three sectors where EY has been “making exceptionally large” investments: financial services, supply chain and the public sector, which underscored one of Brody’s main points around the importance of public blockchain as the core, foundational building block. He noted that “money and stuff are tokens … contracts are a mix of legal agreements and business processes,” so all business could be conducted on the public blockchain, which is EY’s focus on enterprise solutions. 

On Feb. 2, EY hosted an Asia-Pacific Blockchain Summit, a virtual event run by the EY Blockchain practice based in Singapore that included EY professionals and clients, startup executives, and industry experts who are primarily, but not exclusively, based in Asia. The three-hour event included a keynote from EY Global Blockchain Leader Paul Brody, a blockchain solution demonstration, and panel discussions covering the technology, including the challenges and opportunities associated with blockchain and the broader emerging technology space. The following is TBR’s commentary on noteworthy announcements and participants’ assertions made during the event as well as EY’s overall blockchain strategy.

IBM unveils 5-year full-stack quantum road map

IBM’s quantum road map includes dynamic circuits in 2022

IBM (NYSE: IBM) spent the second half of the 2010s laying the foundation for its quantum business. This foundation predominantly focused on hardware development and hardening until the available quantum systems at IBM supported more sophisticated software capabilities. In the 2020s, IBM is now able to pivot its strategy toward more sophisticated aspects of quantum computing, mainly software and control, but with a constant current of hardware innovation to fundamentally support more sophisticated software innovation.

Reminiscent of Intel’s tick-tock development cycle, where the “tick” represented a new chip design and the “tock” represented software optimizations, IBM now has sufficiently stable quantum componentry within the systems to begin working on the next evolutionary step, which is the creation of dynamic circuits within the next two years. As IBM has  decided to build off existing, classical programming languages, Python is at the core of IBM Quantum’s software strategy. This provides IBM with access to about 8 million existing classical computing Python coders, who need minimal quantum-specific training to pivot into this new world of computing.

A key pillar of IBM’s quantum road map and a game-changer in scalability and speed to insight is the development of dynamic circuits, which IBM has listed as a 2022 goal on its road map. Dynamic circuits will enable quantum computation to more closely mimic classical computation in that if/then statements will become possible on quantum computing. Without dynamic circuits, quantum algorithms cannot pivot midway through a process. Therefore, one must run an algorithm through completion, analyze that data and then run another circuit based on insights gained halfway through the process. Dynamic circuits enable an algorithm to measure a qubit’s state — a 0 or a 1 — at a predetermined point in the process and react accordingly, reducing the need to rerun algorithms and reducing the time to insight as well as the volume of qubits consumed.

SOURCE: IBM

Market overview: IBM’s five-year quantum road map comprises developments across the entire quantum infrastructure stack, including hardware, software, services, ecosystem and use-case-specific goals. General focus areas include an emphasis on application modules through 2022 and on application services from 2023 to 2025. Underpinning these broad goals is the systematic development of hardware, software and services capabilities, much of which hinges on a quantum ecosystem IBM has invested in and built, the foundation of which is Qiskit and the IBM Quantum Network. Developing cloud-based solutions is a theme of quantum developments, as COVID-19 has both highlighted and accelerated the need and desire by customers to consume compute capabilities via the cloud.

Government stimulus and enterprise digital transformation will accelerate 5G deployments

Government stimulus will accelerate 5G rollouts

An increasing number of governments worldwide are becoming directly and/or indirectly involved in ensuring new technologies, such as 5G, are widely deployed in their respective countries. This spend is, in many cases, tied to economic recovery packages to counter the impact of the COVID-19 crisis and is being justified based on economic, national security and public health grounds.

TBR’s research indicates governments worldwide will invest in excess of $2 trillion in the ICT sector over the next five years, starting in earnest in 2021. Of that $2 trillion, several hundred billion dollars will flow directly into the 5G market, primarily for the purposes of providing internet access to underserved and unserved people around the world as well as ensuring respective economies are able to transform to be relevant and competitive in the digital era.

China’s CSPs will maintain an accelerated 5G rollout in 2021; domestic vendors will be primary beneficiaries

Following the temporary shutdown associated with China’s initial battle with COVID-19 in 1Q20, China’s CSPs accelerated rollout of 5G RAN, deploying 700,000 5G base stations in 2020, in addition to the 100,000 base stations that were rolled out in 2019. China’s investment in 5G will remain elevated in 2021, with between 600,000 and 1,000,000 base stations set for deployment as the government makes 5G a centerpiece technology of its newest infrastructure development initiative.

These investments will primarily benefit China Communications Services (CCS), Huawei and ZTE, though Ericsson and smaller China-based vendor CICT are also taking part in 5G RAN builds. China’s government heavily influences CSPs’ contract allocation and prioritizes business for domestic firms. Huawei was allocated the bulk of business in the 5G cycle, increasing its share from the LTE cycle.

TBR believes China’s ICT ecosystem has sufficient chipsets to meet the country’s 5G RAN deployment targets in 2021, which suggests the supply chain encumbrances instituted by the U.S. government are not having a significant impact on China’s original deployment timelines.

CSP 5G Capex Spend 2019-2024E

The 5G Telecom Market Landscape includes key findings, market size, customer adoption, operator positioning and strategies, geographic adoption, vendor positioning and strategies, and acquisition and alliance strategies and opportunities.

With post-pandemic world in sight, 6 IT services, digital transformation and consulting trends emerge

1Q21 belongs to the India-centric IT services vendors

India-centric vendors demand considerable attention at the start of 2021 for three trends cutting across their sales motions, talent strategies, and avenues to new partnerships and intellectual property. 

Winning deals the old way

In a return to the old-school tactic of rebadging client employees, India-centric vendors have begun winning larger outsourcing deals, in part because the pendulum has swung back to clients demanding “run-the-business” IT services, which naturally favors outsourcing by low-cost offshore IT services vendors. Using an old-school approach to buy their way into mega-sized contacts or secure renewals may heighten competitive pressures for IT services vendors that lack the same scale in offshore locations or willingness to absorb headcount to open doors for long-tail managed services opportunities. Across the outsourcing space, TBR sees a broad trend of vendor consolidation in contracts up for renewal, further pressuring all competitors to expand contract sizes in any way possible.

The most challenged, but also the vendor group with the biggest opportunity, will be the Big Four. Over the past five-plus years, all four firms, to varying degrees, have expanded their application services capabilities delivered through low-cost locations to better appeal to new buyers. Although firms like Deloitte have experienced some initial success, reaching critical mass will require partnering more strategically with the India-centric vendors, unless the Big Four want to adjust their pricing for more mainstream, almost commoditized IT services.

Developing talent onshore  

With attrition diminished by COVID-19, India-centric vendors will continue to push to expand onshore U.S. talent, including in ruralshore locations. By focusing on recent university graduates, the India-centric vendors can access relatively cheap talent, spend less on visas, and market locally based talent as part of their sales pitch. In addition, all IT services vendors could face a tech talent threat from cloud and software majors. While companies such as Google (Nasdaq: GOOGL) and Microsoft (Nasdaq: MSFT) have mostly gone after upper-mid-level and senior-level services talent, strategies could change as those software and cloud vendors expand their services capabilities (for more detail on technology vendors’ expansions in the services realm, see TBR’s September 2020 Digital Transformation: Cross-vendor Analysis). 

Turning to open source

Lastly, India-centric vendors, especially those lacking software-specific talent and IP, have begun promoting their value to Microsoft and other cloud and software giants by investing in and developing more talent through open-source consortiums. In contrast to traditional R&D efforts, open-source consortiums can provide less costly and time-consuming avenues to developing IP and possibly unlock new business opportunities through consortium partners. TBR also believes increased participation in open-source consortiums could potentially have long-term impacts on services vendors themselves, including development of software mindsets and associated practices. 

KPMG: Fundamentally what blockchain does is digitize trust

In late 2020, KPMG’s blockchain team outlined to TBR the efforts the firm has made to evolve its blockchain practice, expanding into concrete and discrete areas in which the firm can “create an ecosystem around something that already exists, then add a layer of trust, enabled by blockchain,” as made evident by the three focus areas detailed by the KPMG team: cryptoasset custody and analytics, climate accounting infrastructure, and energy trading reconciliation. KPMG explained that the firm’s digital transformation initiatives, which underpin the entire blockchain practice, remain anchored by data, identity and ecosystem — conveniently core elements of blockchain. 

Americas Blockchain and Digital Assets Leader Arun Ghosh went one step further, saying KPMG had intentionally moved away from “leading with blockchain” to building a message around digitalization and trust: “Blockchain is digitizing the infrastructure. Fundamentally what blockchain does is digitize trust.” In TBR’s view, this business-problem-first, technology-second approach mirrors what consulting clients say they want and plays to KPMG’s strengths.

Measuring environmental commitments: Climate Accounting Infrastructure

Businesses face challenges in proving to clients, stakeholders and regulators that their efforts to address climate change have a measurable impact on the environment and meet enterprisewide goals. Stepping up to address that challenge, KPMG saw an opportunity to deploy blockchain solutions as part of a Climate Accounting Infrastructure (CAI) offering. In essence, verifiable emissions data depends on trust, which can best be built and sustained through a combination of tools, including blockchain solutions, AI, enhanced IoT sensors and cloud.

For KPMG, the journey to a blockchain-enabled climate accountability offering started with a client in the financial services sector that was seeking help to meet its sustainability goals. Operating across multiple regions, with overlapping and sometimes conflicting standards and regulations, the client wanted to invest smartly, prove value to its shareholders, and build trust with customers and regulators, all while fully understanding the costs and potential impacts, both positive and negative. Once KPMG devised a blockchain-enabled approach — which KPMG says provides “near real-time climate accounting and reporting to help clients meet their climate goals” — the firm narrowed its focus down to two core industries: real estate and oil & gas.

As Ghosh explained to TBR, these industries face increasing compliance pressures, as well as structural challenges to meeting environmental standards, making them excellent initial target clients. The specific blockchain component, according to KPMG, comes through securing the massive amounts of structured and unstructured data in a way that can be verified but not altered, leading to greater trust and transparency for all parties.

In a Dec. 29, 2020, article, The New York Times detailed the pressures facing the real estate industry in New York City, starting with the sheer volume of carbon emissions coming from the city’s buildings (close to 70% of the city’s total emissions). According to the article, a 2019 law “requires owners of structures 25,000 square feet or larger to make often sizable cuts in carbon emissions starting in 2024 or pay substantial fines” and “affects 50,000 of the city’s roughly one million buildings, including a substantial number of residential buildings.” The city’s role as a global financial hub and KPMG’s heritage in accounting and financial services present a strong opportunity for the firm to begin building a use case for its CAI offering, particularly if the firm leverages its existing NYC-based client relationships to gain introductions to commercial real estate owners.

Last fall, TBR met with KPMG’s blockchain leadership team, including Americas Blockchain and Digital Assets Leader Arun Ghosh, and discussed changes the company’s blockchain practice has undergone since the October 2019 Blockchain Analyst Day. As TBR prepares in 2021 to add a blockchain-specific component to our Digital Transformation portfolio, examining in detail how IT services vendors and consultancies have been building blockchain practices, we will publish special reports describing specific vendor offerings and how those offerings and supporting capabilities fit within the larger blockchain ecosystem.

Leading enterprises are planning massive investments in DT; 5G implicated in many cases

Leading enterprises intend to spend big on digital transformation, which in many cases implicates 5G

Leading companies in their respective verticals, such as Amazon, Walmart, Walgreens, Ford and Deere & Co., are preparing to make relatively large investments in digital transformation (DT) over the next few years as they adjust to the post-pandemic new normal, respond to competitive pressures and capitalize on new opportunities. In many cases 5G will play a key role in these digital transformations, serving as a foundational platform that will support these enterprises’ digital infrastructure and business operations (e.g., drone operations and reimagined in-store experience). Ecosystem players are striking strategic partnerships with some of these key enterprises (e.g., Verizon with Walmart and Walgreens) to capitalize on opportunities brought about by 5G as well as edge computing and AI.

Several early adopter enterprises have opted for 5G versus Wi-Fi 6, portending a market shift toward cellular

Several leading enterprises, such as Whirlpool, have made a strategic decision to deploy 5G versus Wi-Fi 6 in their factories after their assessments deemed 5G can better meet their long-term needs. These decisions are in line with TBR’s belief that 5G should be viewed as a future-proof connectivity platform that will serve as a foundation for enterprise digitalization. Though Wi-Fi 6 (and LTE) will have their place in enterprise networks going forward, TBR expects the pendulum to swing more toward 5G as the de facto connectivity technology for enterprise communications and IT-OT convergence.

TBR’s Private Cellular Networks Market Landscape deep dives into the market for private cellular networks. This global report covers enterprises that are investing in private cellular networks as well as all of the major vendors and some nascent players that provide infrastructure products and services in this space. The research includes key findings, key market developments, market sizing and forecast, regional trends, technology trends, vertical trends, use cases, and key customer deals, alliances and acquisitions that are occurring in the market.

Accelerated cloud adoption will persist even after COVID-19 pandemic subsides

The outbreak of COVID-19 led to constraints around enterprise IT budgets, but the emergence of a digital workforce resulted in accelerated adoption of cloud applications, particularly those related to productivity and customer-facing suites in the front office. Enterprises needed to rapidly shift operations to the cloud to support remote workforces, increasing the value of service arms and IT services partners to mitigate client risk in the form of cloud road-mapping, migration and implementation services.

In the long term, internal service capabilities and IT services partners will become critical to enabling enterprises’ digital transformations, particularly as front-office cloud deployments mature and as clients explore migrating more customized environments like ERP to cloud or pursue industry-based solution deployments in highly regulated industries like healthcare and the public sector.

The bulk of enterprises are employing a best-of-breed approach to the development of their cloud IT architectures, evidenced by 42% of respondents stating that they currently use three or more SaaS vendors. As a result, application vendors have been driving alliance activity with infrastructure providers to give clients more flexibility around how they consume cloud, evidenced by SAP’s decision to offer SAP Business Suite 4 HANA with leading infrastructure players like Microsoft Azure and Amazon Web Services. While best-of-breed IT will remain prevalent, cloud players have increasingly driven investments to tighten the integrations of complementary suites to expand share of client wallet by enabling multiproduct deals, a tactic that has been effectively employed by Salesforce and Microsoft in 2020.

Cloud players aim to accelerate the proliferation of their IP by employing industry-based go-to-market capabilities to provide clients with prebuilt data models that alleviate concerns around data compliance and governance. This tactic aligns with clients’ needs, as 51% of respondents who deployed industry solutions cited compliance and regulatory standards as a key benefit. To strengthen the value of industry clouds to clients, vendors are offering prebuilt integrations with leading data providers, such as Microsoft’s integrations with electronic health record providers through Cloud for Healthcare. These types of integrations will be critical to accelerating client time to value, while ensuring the integrity of data by meeting industry-specific regulations.

TBR’s Cloud Applications Customer Research tracks how customers are modernizing application environments and choosing between different cloud delivery methods. Leveraging in-depth conversations between TBR and enterprise customers, the Cloud Infrastructure & Platforms Customer Research provides subscribers with actionable insight that they can use to better understand their customers’ behavior and win cloud infrastructure deals. Topics covered for both reports include public, private and hybrid delivery options; decision-making involvement and criteria; leading vendor perception; field positioning and competition guides; and the impact of emerging trends (e.g., containers, security, platforms).