Infosys Collaborates with Clients and Partners to Navigate What’s Next in Their AI Transformation Programs

Strong Services Execution, Enabled Through Infosys Cobalt and Focused on Outcomes, Provides Foundation Upon Which Infosys Can Build AI Strategy

The steady performance of Infosys’ cloud business highlights the company’s pragmatic approach to its portfolio and go-to-market efforts, largely enabled by Infosys Cobalt.

 

Building on Infosys Cobalt’s success, the company now has an opportunity to steer client conversations toward AI and is positioning Infosys Topaz as the suite of services and solutions that can bring it all together. Agentic AI (i.e., autonomous AI) is the newest set of capabilities dominating client and partner conversations. Scaling AI adoption comes with implications and responsibilities, which Infosys is trying to address one use case at a time. For example, earlier in 2024, Infosys launched the Responsible AI Suite, which includes accelerators across three main areas: Scan (identifying AI risk), Shield (building technical guardrails) and Steer (providing AI governance consulting). These capabilities will help Infosys strengthen ecosystem trust via the Responsible AI Coalition. Infosys also claimed it was the first IT services company globally to achieve the ISO 42001:2023 certification for ethical and responsible use of AI.
 
Regardless of the client’s cloud and AI adoption maturity, everyone TBR spoke with and those who presented at 2024 Infosys Americas Confluence agreed that the need for data strategy and architecture comes first. Two separate customers perfectly summarized the state of AI adoption: “You can’t get to AI without reliable data across the supply chain,” and “GenAI is not a magical talisman. Companies need to build true AI policy and handle GenAI primitives before scaling adoption, with the shift in mindset among developers and users a key component.”

 

Infosys recognizes that AI adoption will come in waves. The first wave, which started in November 2022 and continued over the last 18 to 24 months, was dominated by pilot projects focused on productivity and software development. In the current second wave, clients are starting to pivot conversations toward improving IT operations, business processes, marketing and sales. The real business value will come from the third wave, which will focus on improving processes and experiences and capitalizing on opportunities around design and implementation. Infosys believes the third wave will start in the next six to 12 months. While this might work for cloud- and data-mature clients, only a small percentage of the enterprise is AI ready across all components including data, governance, strategy, technology and talent. Thus, it might take a bit longer scale for AI adoption to scale.

 

But as Infosys continues to execute its pragmatic strategy, the company relies on customer success stories that will help it build momentum. As another customer positioned it, “Infosys knows the data and processes. They know what they are talking about. In [the] 11 years since we have worked with them, they have not missed a single release with their … team delivering the outcomes.”

 

We believe Infosys’ position within the ecosystem will also play a role in how fast and successful the company is when it comes to scaling AI with clients. Infosys’ AI-related messaging includes 23 AI playbooks, which focus on value realization spanning technical and business components, such as Foundry and Factory models, as well as change management.

 

Of course, AI and GenAI will also disrupt Infosys’ business model and service delivery. And while many of its peers are still debating internally how to best position themselves with clients and pitch the value of GenAI without exposing their business to too much risk in the long run, Infosys’ thoughtful, analytics-enabled approach to commercial and pricing model management has positioned the company favorably with price-conscious clients that have predominantly been focused on digital stack optimization over the past 18 months.
 
Infosys’ success with large deals is a testament to the effectiveness of the company’s strategy. In FY4Q24 Infosys had $4.5 billion in large deals, which is the highest quarterly large deal value for the company. In addition, investing in and transforming right-skilled talent who can support this model are critical components to the company’s success. While Infosys has trained 270,000 of its employees on AI, we believe it is the composition and depth of these skills that vary across service lines and clients, especially as outcome-based pricing models now represent half of the contracts in some service lines.

Infosys’ Investments in Engineering and Marketing Strengthen Company’s Position as a Solutions Broker

Navigating the hype of GenAI requires Infosys to also recognize and place bets on other areas that are tangential and have a more immediate impact on its value proposition and overall financial performance.

Infosys Tries to Bring CIOs and CMOs Together Through Infosys Aster

Building off the success of Infosys Cobalt and Infosys Topaz, the company launched Infosys Aster, a set of AI-amplified marketing services, solutions and platforms. While Infosys Cobalt and Infosys Topaz have horizontal applications, the domain-specific nature of Infosys Aster provides a glimpse into what we might expect to see from Infosys in the near future, given the permeation of GenAI across organizational processes. Additionally, the marketing orientation of Infosys Aster is not surprising since most GenAI use cases are geared toward improving customer experience.

 

Built around three pillars — experience, efficiency and effectiveness — Infosys Aster will test Infosys’ ability to capitalize on a new wave of application services opportunities and create first-party data-unique solutions rather than providing off-the-shelf solutions just to ramp up implementation sales.
 
With DMS continuing to act as a conduit for broader digital transformation opportunities for Infosys, we expect the company to use Infosys Aster to position its marketing services portfolio in a more holistic manner, creating a bridge between CMOs and CIOs and also bringing parts of Infosys’ Business Process Management subsidiary into the mix to position the company to capture marketing operations opportunities. Infosys Aster provides a comprehensive set of marketing across the value chain of strategy, brand and creative services, digital experience, digital commerce, marketing technology (martech), performance marketing and marketing operations.
 
Although this is an area of opportunity for Infosys, rivals such as Accenture have an advantage in the marketing operations domain. We do believe the greater opening for Infosys comes from focusing more on driving conversations around the custom application layer and steering client discussions toward achieving profitable growth through the use of Infosys Aster. Client wins such as with Formula E and ongoing work with the Grand Slam tennis tournaments also allow Infosys to demonstrate its innovation capabilities beyond traditional IT services. Part marketing and part branding, wins such as these elevate Infosys’ capabilities. Executing against its messaging is key for Infosys.

Infosys Engineering Services Will Close Portfolio and Skills Gaps Between IT and OT Departments

Infosys Engineering Services remains among the fastest-growing units within the company as Infosys strives to get closer to product development and minimize GenAI disruption on its content distribution and support position. Since the 2020 purchase of Kaleidoscope, which provided a much-needed boost for the company to infuse new skills and the IP needed to appeal to the OT buyer, Infosys has further enhanced its value proposition to also meet GenAI-infused demand.

 

Infosys recently announced the acquisition of the India-based, 900-person semiconductor design services vendor InSemi, which presents a use case where the company applied a measured risk approach to enhance its chip-to-cloud strategy as it tries to balance its portfolio of partner-ready solutions, such as through NVIDIA, with a sound GenAI-first cloud-supported story. Shortly after, Infosys also acquired Germany-headquartered engineering R&D services firm in-tech. The purchase will bolster Infosys’ Engineering Services R&D capabilities and add over 2,200 trained resources to regional operations across Germany, Austria, China, the U.K., and nearshore locations in the Czech Republic, Romania, Spain and India, supporting Infosys’ opportunities within the automotive industry. The purchase of in-tech certainly accelerates these opportunities, bringing in strong relationships with OEM providers, which is a necessary steppingstone as Infosys tries to bridge IT and OT relationships.

 

We do not expect Infosys’ cloud business Infosys Cobalt to slow down anytime soon given the company’s market position for infrastructure migration and managed services as well as its well-run partner strategy with hyperscalers. Adding semiconductor design services bolsters that value proposition as buyers consider whether to use price-attractive CPUs or premium-priced GPU data centers. The latter currently dominates the marketplace, and we expect that trend will not change for at least the next 18 to 24 months. But having semiconductor engineers on its bench can help Infosys start supporting CPU-run models, further appealing to more price-sensitive clients. Meanwhile, Infosys is planning to train 50,000 of its employees on NVIDIA technologies. Lastly, the close collaboration between Infosys Engineering Services and Infosys Living Labs further extends the company’s opportunities to drive conversations with new buyers and demonstrates its ability to build, integrate and manage tangible products.

Infosys’ Reliance on Partners Provides a Strong Use Case of Trust and the Future of Ecosystems

The mutual appreciation between Infosys and partners was amplified throughout 2024 Infosys Americas Confluence. From a dedicated Partner Day to partner-run demos and various sponsorship levels to main-stage presentations, the experience reminded TBR of an event that a technology vendor would typically set up (think: Adobe Summit, AWS re:Invent, Dreamforce, Oracle OpenWorld, to name a few).
 
Infosys’ decision to feature some of its key alliance partners in a similar way that the tech companies do suggests a strong alignment between parties starting with the top-down executive support, through mutual investments in both portfolio and training resources, and most importantly, knowledge management between the parties. In conversations throughout the event with partners, it was evident that Infosys’ strategy is consistent regardless of the length of relationship, from decades-long relationships such as with SAP or an emerging but fast-growing alliance such as with Snowflake. All partners agreed Infosys’ humble approach to managing relationships has put them at ease in working with Infosys and delivering value to joint clients.

 

After attending Infosys’ U.S. Analyst and Advisor Meeting in Texas in March, TBR wrote about Infosys’ relationship with Oracle, highlighting the level of trust and transparency Infosys typically deploys with partners. In TBR’s Summer 2024 Voice of the Partner Ecosystem Report we wrote: “Services vendors most frequently rely on their direct sales efforts and permission to demonstrate value with customers to drive revenue. Using demos and proof-of-concept discussions as a frequent tactic to engage with clients also highlights many of the profiled vendors’ consulting heritage.

 

The technical expertise came through very vividly and aligned with Infosys’ strengths in playing within its own swim lane. In a main-stage discussion, Infosys and Hewlett Packard Enterprise (HPE) discussed at length the role each plays in pursuing opportunities in areas such as GenAI and the need for greater interactions through multiparty model including the value NVIDIA brings to the table, for example. While one could argue that Infosys’ alliance partner strategy mirrors that of many of its competitors as it seeks to secure foundational revenue opportunities while pursuing innovation through a measured risk approach, the company strives to differentiate by acknowledging its strengths and sticking to them rather than branching too far into partners’ territory, which enterprise buyers strongly appreciate.

Land-and-execute Approach and Expansion Will Follow Naturally

Close to a decade ago, TBR analyzed what Infosys’ five-year strategy should look like. While the company went through leadership and strategy changes during this period to such an extent that one could cite concerns about consistency, those days are over. Infosys now has a well-grounded strategy with executives executing on a clear vision rooted in a land-and-execute approach rather than the typical land-and-expand framework many of its peers aspire to. This puts greater pressure on the company’s quality and talent-retention strategies. While no one is immune to macroeconomic headwinds, the internal growth and training opportunities the company provides for its employees across all levels provides a strong backbone to a culture of learning and trust.

 

TBR will continue to cover Infosys within the IT services, ecosystems, cloud and digital transformation spaces, including publishing quarterly reports with assessments of Infosys’ financial model, go-to-market, and alliances and acquisitions strategies. Access reports as soon as they’re available with TBR Insight Center™ access.

IT Services Vendors Embrace Digital Transformation to Revolutionize the Sports and Entertainment Industry

IT Services Vendors Pursue Opportunities in the Sports and Entertainment Industry

Like every other industry, sports has undergone digital transformation in recent years, greatly improving operations within the industry and fundamentally changing the fan experience. Every major sporting event is enhanced by analytics, both at an operational level and for the fans, and other elements core to IT services, such as cybersecurity and automation, have become fundamental to running a sports operation.

 

Not surprisingly, IT services companies and consultancies have jumped on the bandwagon, increasingly associating their brands with major sport events and leagues, not simply as sponsors but also now as digital transformation, AI and analytics partners.

 

The sports and entertainment industry segment typically contributes a small share of revenue for the 31 vendors covered in TBR’s IT Services Vendor Benchmark compared to established industries such as financial services, public sector and manufacturing. However, an increasing number of IT services providers are building specialized expertise to address the needs of clients in sports and entertainment and to diversify revenue streams. Applying capabilities such as around digital design, secure infrastructure and data, and customer experience enables vendors to increase value and capture growth opportunities.

Specialized Expertise and History of Working with Clients in Sports and Entertainment Help Vendors Establish Credibility and Attract New Clients

IBM, Atos, Accenture and Infosys have well-established industry expertise and a history of working with clients in the sports and entertainment sector. In addition to those companies, other IT services providers are developing capabilities and building client relationships to capture opportunities in the sector.

 

Utilizing their solutions, expertise and reputation gained by working with clients in other sectors and applying that knowledge to the sports and entertainment industry enable vendors to expand their client reach. Vendors increasingly utilize digital design capabilities to add value. For example, IBM iX, the experience design business of IBM Consulting, developed a new AI commentary feature for the Wimbledon Championships utilizing watsonx to train the AI in the language of tennis, and then implemented the solution to create engaging commentary for event video clips.

IBM

Utilizes IBM Watsonx to Improve Fan Engagement

IBM has a 30-year partnership with the All England Lawn Tennis Club. To help more than 19 million fans globally follow the Wimbledon Championships more closely, IBM has been improving the digital experience of the tournament’s official app and website.

 

In June IBM announced a new feature for the app and website that provides personalized player stories as players advance through the tournament, utilizing data and generative AI (GenAI) from IBM’s watsonx platform. In addition to the Wimbledon Championships, IBM Consulting has been providing insights and improving experiences over the past several years for events such as the Masters Tournament, the U.S. Open and the Grammy Awards; improving user engagement and integrating AI, such as with the ESPN Fantasy Football app; and addressing storage and security needs, such as for the Mercedes-Benz Stadium in Atlanta.

 

For example, IBM has been working with the Masters Tournament for more than 30 years to digitally transform the event by designing solutions and user interfaces and transforming back-end systems to deliver insights through golf data. IBM is utilizing GenAI to convert Masters data into AI-powered narration and insights about players and games.

 

In April IBM announced new fan features for the Masters app and Masters.com to improve the digital experience of the tournament that was held April 11-14. IBM Consulting collaborated with the Masters’ digital team to provide fans with shot-by-shot insights based on data-based projections and analysis for each hole, thanks to GenAI capabilities from IBM watsonx.

 

IBM has also been working with the U.S. Tennis Association (USTA) for more than 30 years. In August IBM announced several fan features for the digital platforms of the 2024 U.S. Open that are powered by IBM watsonx to improve fan engagement and tournament coverage. IBM delivered AI-generated Match Report summaries for singles matches minutes after they were completed utilizing IBM’s Granite 13B large language model (LLM) and the USTA’s data and editorial guidelines. IBM also provided AI commentary with automated English-language audio and subtitles for singles match summaries. Fans also utilized the redesigned IBM SlamTracker experience offering that provides pre-live and post-match insights.

 

In September IBM and ESPN announced enhancements to the ESPN Fantasy app, which is powered by GenAI technologies from IBM watsonx. The new Top Contributing Factors feature within the Waiver Grade and Trade Grade features of the app provide analysis around grades. The grades that are assigned to players are created by AI models built with IBM watsonx, and the information is generated by IBM’s Granite LLM.

Atos

Every Olympics Must Run Flawlessly; there Are No Second Chances

Atos used its well-established expertise in the sports and entertainment industry to provide infrastructure services for the 2024 Paris Olympics and Paralympics and enable a secure and digital Games experience for end users globally. The company has been providing services for the Olympic Movement since 1989. Atos established its relationship with the International Olympic Committee (IOC) as a Worldwide IT Partner in 2001 and provided IT services for the first Winter Olympics in 2002 in Salt Lake City. Ensuring that the IT systems behind the Olympics run flawlessly every two years requires dedication and strict execution of processes and timelines.

 

Atos has been expanding its client roster in the sports and entertainment industry, applying its vast experience gained from the Olympics. In December 2022 Atos signed an eight-year deal with the Union of European Football Associations (UEFA) to be the official technology partner for men’s national team competitions. Atos is assisting UEFA in managing, improving and optimizing its technology landscape and operations. It is also managing and securing the hybrid cloud environment and infrastructure that hosts UEFA’s services, applications and data. Atos is the official IT partner of UEFA National Team Football until 2030.

 

In March Atos announced plans to open a Sports Technology Center of Excellence (CoE) in its new Middle East and North Africa headquarters in Riyadh, Saudi Arabia, in 2Q24. The CoE will develop technology applications for athletes, fans and sports organizations in Saudi Arabia. The new CoE provides a way for Atos to capture opportunities in the local sports industry as Saudi Arabia works on its Vision 2023 to position as a host for leading international sporting events. The center will enable clients to explore solutions around digital transformation, cloud services, cybersecurity, decarbonization, application modernization, DevSecOps and edge computing. Atos provided cybersecurity and infrastructure services for the 2024 Paris Olympic and Paralympic Games utilizing its Technology Operations Centre.

Accenture

Accenture Helps NFL Make Data-driven Decisions and Works with ESPN to Transform Sports Fan Experience

In May Accenture announced a five-year partnership with the NFL in which Accenture will be the Official Business and Technology Consulting Partner. Accenture will help the NFL make data-driven decisions in three business areas: football, financial operations and human resources. Accenture will also support the NFL across multiple areas such as transforming the league’s human capital systems, ERP and analytics, and driving efficiencies and automation across the NFL’s back-office functions.

 

In 2021 ESPN partnered with Accenture, Microsoft and Verizon with the goal of exploring ways to improve the fan experience in sports through technologies such as 5G, augmented reality and mobile edge computing. Accenture and ESPN launched the ESPN Edge Innovation Center to utilize technologies and jointly imagine, explore, conceive and prototype sports entertainment experiences and production capabilities. The combination of design and innovation capabilities with technology and industry expertise enabled Accenture to become ESPN’s Innovation and Founding Consulting Partner. Accenture and ESPN collaborate to enhance live sports broadcasting, develop consumer-facing products and improve the sports fan experience.

Infosys

Client Wins Such as Formula E and Ongoing Work with Grand Slam Tennis Tournaments Allow Infosys to Demonstrate Innovation Capabilities Beyond Traditional IT Services

Since 2015 Infosys has been the Digital Innovation Partner for the Australian Open, Roland-Garros, the Association of Tennis Professionals (ATP) Tour and the International Tennis Hall of Fame, transforming tennis through data, insights and digital experiences. For example, Infosys has been partnering with the ATP to develop digital assets. Infosys’ design capabilities and technical prowess continue to help it attract business in experience design and AI-powered services with sports and entertainment companies, particularly around tennis tournaments.

 

In March Infosys extended its digital innovation relationship with the ATP by three years, until 2026. The ATP will continue to benefit from Infosys’ capabilities in AI, data analytics and cloud. Since the beginning of the partnership in 2015, Infosys has deployed digital assets for ATP Tour, such as reinventing the ATP PlayerZone intranet portal; launched the ATP fan app; and developed systems integration (SI)-driven features powered by Infosys Topaz in the Infosys ATP Stats Center. Infosys and the ATP are also collaborating on the ATP Carbon Tracker, which monitors and helps offset the carbon footprint of players, supporting the ATP’s goal of achieving net-zero emissions by 2040.

 

Outside of tennis, Infosys is the Official Digital Innovation Partner of Madison Square Garden and the New York Knicks and New York Rangers. In May Infosys announced that it will be the official Digital Innovation Partner for the ABB FIA Formula E World Championship, the global motorsport championship for electric cars, for the next three years. Infosys will deliver in-race analytics, improve fan engagement experiences and enhance sustainability reporting and tracking for Formula E.

 

Additionally, Infosys will develop a new AI-powered Fan Customer Data platform to engage 500 million fans by 2030; provide in-race insights utilizing GenAI capabilities through Infosys Topaz; and implement a sustainability data management tool based on AI to help Formula E reduce carbon emissions by 45% by 2030.

Telecom Infrastructure Services Operating Margin Climbs as Shift to Maintenance Services Offsets U.S. Market Decline

Shift to Maintenance Services Bolsters Telecom Infrastructure Services Margins Amid 5G Deployment Declines and U.S. Market Contraction

Despite India growing within the telecom infrastructure service revenue mix and the U.S. declining, TBR-benchmarked vendors’ average telecom infrastructure services operating margin increased 20 basis points year-to-year to 14.2% in 2023. TBR attributes the increase in large part to a shift in the telecom infrastructure services revenue mix from deployment services, which typically carry the lowest margins, to maintenance services, which tend to carry the highest margins among telecom infrastructure services segments.

 

The shift in business mix comes as communication service providers (CSPs) wind down their 5G coverage rollouts in the key countries of China, the U.S. and India and focus on densification. In late 2023 and 1H24, declining deployment activity in India is also helping to improve profitability as margins in the country can be relatively low. The 5G gear that vendors have built out in these and other countries in the past few years is leading to follow-on support revenue, which will enable maintenance services to be a relatively strong-performing segment among TBR-benchmarked vendors despite global decommissioning of legacy infrastructure.

Graph: Telecom Infrastructure Services Revenue and Margins for 2023

Telecom Infrastructure Services Operating Margin Insights

Leading Vendors Remain Those with Large Bases of Hardware or Software Support Subscriptions and Those that Rely Heavily on India-based Labor

Operating margin leaders derive a smaller percentage of telecom infrastructure services revenue from deployment services, which are often provided at or below break-even margins and/or delivered by third parties. Leaders provide a high degree of support, including repeatable and remote services as well as consulting & systems integration services.

 

Automation, analytics, AI and machine learning will prove critical to helping vendors improve margins. Examples include portions of Nokia’s AVA (Analytics, Virtualization and Automation) portfolio and Ericsson’s Operations Engine. However, with a significant portion of revenue coming from deployment services, RAN-centric vendors will be unable to expand overall telecom infrastructure services margins significantly.

 

India-based IT firms such as Tata Consultancy Services and Infosys obtain high telecom infrastructure services margins due to favorable labor rate differentials between India and developed markets as well as the high degree of application development and maintenance services they provide to CSPs in developed markets. With over 40% of its workforce based in India, Accenture also benefits from this market dynamic.

 

Other IT services firms, such as Atos, have a smaller offshore workforce (about 32% based in India) and obtain lower margins as a result.

 

To access TBR’s historical and current telecom infrastructure gross margin data, start your free Insight Center trial today.

TBR Makes Recent Insights Live Sessions, Including Key Discussions on GenAI Adoption, Partnering and Purchasing Trends, Publicly Available

Technology Business Research, Inc. (TBR) is pleased to announce on-demand availability of all of our 3Q24 webinars. Topics discussed this quarter include AI’s impact on IT infrastructure purchasing trends, next-generation AI PCs, generative AI (GenAI) adoption in the telecom industry, the current state of the federal IT market, and partnering best practices in the era of GenAI.
 

Click the TBR Insights Live title to download the full presentation deck. On-demand video of each webinar can be viewed by clicking the image below each listing.

3Q 2024 TBR Insights Live Sessions

How AI Is Shaping IT Infrastructure Purchasing Trends in 2024

Learn: The ways marketwide AI enthusiasm has shifted mindsets in the midmarket and enterprise space; IT infrastructure buyers’ expectations for AI investment, including on-premises versus cloud versus hybrid; and which other top trends are influencing IT infrastructure purchasers’ spending plans

 

Next-generation AI PCs: What It May Mean for the Next Refresh Cycle

Learn: AI PC impact on demand; TBR’s perspective on the next major PC refresh cycle; AI PC impact on future Windows PC OEM profitability; and expectations for Intel, ADM and Qualcomm’s fight for share in the emerging Copilot+ PC category

 

GenAI Shift from Hype to Reality Begins: How the Telecom Industry Will be Impacted

Learn: Current state of GenAI adoption; how AI models will likely be leveraged; and the kind of use cases and business outcomes the industry can expect from AI and GenAI

 

State of the Federal IT Market: Continued Opportunities Amid Slowing Growth

Learn: Drivers behind overall federal IT market growth; top trends in civilian, defense and intelligence sectors; and how TBR-tracked federal systems integrators are positioning for federal FY2025

 

How to Think as a Partner in the Era of GenAI

Learn: What OEMs, cloud providers and service providers believe is missing in their partnerships with one another; preferred commercial, staffing and go-to-market models among the partner groups; and GenAI’s impact on partner groups’ business models and future joint opportunities

TBR Insights Live sessions are held typically on Thursdays at 1 p.m. ET and include a 15-minute Q&A session following the main presentation. A recording of the session is sent to all registrants the day after the live airing.

 

To find out what we are discussing in the upcoming months, visit the TBR Insights Live page of our website.

How IT Services Companies Are Preparing to Capture Surge of Local Opportunities in India

In this blog, we explore how global companies in ICT are shifting focus from outsourcing to tapping into India’s domestic market due to its rapid growth. To learn more about the next era of India’s economic growth, join TBR for a live discussion and Q&A Thursday, Oct. 31. Join TBR’s Professional Services team as they highlight whether local IT services vendors can capture opportunities from the Big Four, which vendors will lead the market overall and more. Save your seat today!

Global Companies Across ICT Industry Are Positioning for an Increase in Local Opportunities in India’s IT Services Market

As India’s growth has outpaced that of all other major countries for the better part of the last decade, global companies are shifting their focus in India from only outsourcing to realizing the country’s domestic market potential. India-based IT services vendors have seen a significant increase in domestic projects, particularly in 2Q24. For example, Tata Consultancy Services’ (TCS) domestic revenue increased 59% year-to-year and 14.1% sequentially, while Infosys’ increased 17.1% year-to-year and 45.5% sequentially.

 

According to TBR’s Spring 2024 Global Delivery Benchmark, “We expect India to gradually expand its global economic profile, attracting vendors from across the ICT industry to invest and position themselves for locally sourced opportunities.” As always, our analysis starts with the strategies, investments and performances of leading IT services companies and consultancies.

 

This year, Capgemini and Cisco have increased their reach with India-based clients. Capgemini has accelerated its hiring pace in India to support domestic IT services demand growth. HCLTech partnered with KPMG to combine its technology services with the consulting firm’s business expertise to meet India-based client demand for digital transformation projects. Additionally, Kyndryl has signed a deal with Canara Bank in India, while Wipro also has recent domestic deals with Anna University and Rajalakshmi Institutes.

 

In addition to the rising need for IT services in India to serve the local economy, a key driver of the trade interest in India is the desire to reduce dependence on China while geopolitical hostilities are on the rise. Although both demand and interest in trade in India are growing, India’s infrastructure and income disparity consistently remain limiting factors to India’s growth.

Infrastructure Challenges and Investment

Amid growing trade, India’s current transportation networks are often too small and in poor condition. India’s roadways lack the amount of space needed to keep traffic consistently flowing, resulting in gridlock and high transit time and restricting operational efficiency in the economy.

 

Additionally, road damage due to flooding and washout is frequent during the monsoon season, as is damage to other infrastructure. Simply put, India is growing faster than its infrastructure can reasonably withstand, even with extensive infrastructure spending. India’s digital infrastructure also has some challenges, as evidenced by internet shutdowns, including one in Manipur following anti-government protests that blocked internet access for 212 days, affecting 3.2 million people.

 

Since 2015 the government of India has worked to build more robust digital infrastructure to benefit all populations with the Digital India initiative. In 2016, the government launched the Unified Payments Interface (UPI), a digital payments solution for interbank and person-to-person payments, providing security for transactions in the informal economy. The International Monetary Fund (IMF) reports over 8 billion transactions occurred each month in 2022, transforming an economy that had primarily relied on cash. JM Financial, an investment bank in India, estimated before the release of UPI that over 95% of transactions were completed in cash.

 

Perhaps equally transformative is the digital ID system, Aadhaar. Upon Aadhaar’s release in 2009, one in eight citizens had verifiable identification. Verifiable identification improved access to financial institutions, with the percentage of India citizens with a bank account growing from 25% to over 80% currently. The IMF states that, “India’s digital public infrastructure, built within the regulatory system, has enabled its citizens to achieve access to the formal economy through a verifiable digital identity; participation in the nationwide marketplace through a fast payment system; and secure welfare gains in finance, health, and commerce through data empowerment and data sharing.”

IT Services Vendors’ Investment

IT services vendors have also seen the value in professional training and development. Vendors have increased investment in talent and innovation in the local Indian market, especially through centers of excellence (CoEs) in 2Q24.

 

Capgemini has established a CoE in Uttar Pradesh with the Noida Special Economic Zone to develop skills in AI, machine learning, financial technology and robotics for unemployed adults and youths in need. Likewise, IBM launched a CoE with LTIMindtree in India to foster innovation between IBM’s watsonx and LTIMindtree’s engineering skills. At the same time, IBM is working with India’s Ministry of Electronics and Information Technology around innovation in AI, semiconductors and quantum technologies. Infosys partnered with the Financial Times to provide training to India’s youth by utilizing the newspaper’s content and the Infosys Springboard platform.

 

Based on TBR’s ongoing analysis of the IT services and consulting market, we anticipate the companies that will outperform peers in the local Indian market will share three characteristics: working closely with government initiatives, investing in talent and innovation in India, and bringing new technologies to India’s market quickly. Over the next year, TBR will publish special reports about the leading IT services companies and consultancies as they take advantage of — or miss the opportunities in — a changing India market.

Monetizing GenAI: Cloud Vendors’ Investment Strategies and 2025 Outlook


 

How Will Cloud Vendors Navigate GenAI Investment and Monetization Challenges?

Cloud vendors are on the front lines of the generative AI (GenAI) business opportunity. These vendors have been rushed to invest ahead of competitors, and as a result, they are forced to figure out the right model(s) to monetize the new capabilities.

 

After more than a year of GenAI hype, TBR is beginning to see clear investment trajectories and various formulas among vendors on how best to price GenAI solutions across infrastructure and applications spaces.

 

In this TBR Insights Live session, TBR’s Cloud team — Principal Analyst & Practice Manager Allan Krans, Senior Analyst Catie Merrill, Analyst Alex Demeule and Research Analyst Gunnar Tache — gives a deep dive on AI’s impact on the cloud industry. The team also highlights key findings from TBR’s newest cloud research report, AI & GenAI Model Provider Market Landscape, including examples of technology companies’ activities in 2024 as well as what to expect across the GenAI landscape in 2025.
 

In The Above TBR Insights Live Session on AI’s Impact on Cloud You’ll Learn:

  • The investments cloud vendors are making in their infrastructure, partnerships and portfolios
  • The business models that enable vendors to best monetize GenAI technologies
  • TBR’s early projections for industry changes in 2025


 

Customers are prioritizing data strategy, and cloud providers see big opportunities for partners to engage

Cloud vendors believe data strategy & management present the biggest growth opportunities from partners.
 
“The biggest [transformation] underway is our, basically, data services. And so we have been looking at traditional data services where we have a large amount of data, which is in a data warehouse on prem, and then processing of the data. Now a large amount of this transformation is going to go to data lakes, which again, we are working with Amazon and Azure. So, these are both Amazon as well as Azure, and basically creating, using Kafka, Spark and Hadoop, creating data services, which will be then [be] consumed throughout the company.” — Global Technology Director, Financial Services

Example of TBR's cloud partnerships research and data
 
TBR Insights Live sessions are held typically on Thursdays at 1 p.m. ET and include a 15-minute Q&A session following the main presentation. Previous sessions can be viewed anytime on TBR’s Webinar Portal.

GenAI Use Cases: Where Enterprises Are Investing Now and What’s Next for Multimodal AI

Generative AI (GenAI) clients are looking for offerings that complement existing technologies and use cases built around customer zero and that deliver fast ROI. In this blog, we highlight some of the GenAI use cases currently seen in the professional and IT services, cloud, IT infrastructure, and telecom industries. To learn more about TBR’s AI and GenAI analysis and data, start your TBR Insight Center™ free trial today!

 

Perhaps no two questions have bedeviled the business side of the GenAI space more than which use cases are resonating with clients and where TBR and others expect to see near-term adoption and growth.

 

According to TBR’s research, use cases that provide a quick ROI with minimal enterprisewide disruption and no significant increase in risk profile get funded now; use cases with demands on data, dependencies on external data and/or long horizons to ROI remain the subjects of innovation sessions, proofs of concepts and road maps.

As Multimodal AI Extends GenAI’s Promise, Buyers Still Seek Immediately Effective Use Cases

Different from traditional large language models (LLMs), multimodal AI can process and interpret several types of data inputs, including text, images and sounds, at the same time. This versatility makes multimodal models critical for expanding the viable use cases for GenAI, specifically to support the creation of marketing content.

 

According to TBR’s latest research, multimodal AI is currently a top five use case for GenAI. Cloud service providers and foundation model vendors alike have made efforts to internally develop multimodal models or form collaborations to harness GenAI’s data interpretation capabilities. TBR believes cloud service providers and foundation model vendors will drive innovation of multimodal models to improve data interpretation and insights across all business segments.
 
Graph: Use Cases GenAI Is Currently Best Suited For (2H23)

GenAI Use Cases Across Industries

Professional and IT Services GenAI Use Cases

  • In February 2024 Cisco launched Motific, a SaaS solution that enables adoption and application of GenAI in support of clients’ needs around data, security, AI and overall cost reduction. Through Motific, Cisco speeds up GenAI deployment while using automated controls to reduce the risks associated with the technologies. Leaning on its security prowess, Cisco applies its risk management tools, sensitive data capabilities and monitoring services to protect clients’ environments.
  • Hewlett Packard Enterprise (HPE) introduced HPE GreenLake for LLMs, a cloud service that provisions AI-optimized high-performance computing resources designed for dedicated single-workload utilization, setting itself apart from public cloud resources that share infrastructure and run multiple workloads.
  • Through its partnership with ServiceNow, EY looks to apply GenAI to risk management and governance. In June 2024 EY adopted ServiceNow’s Assist GenAI capabilities to facilitate its internal operations as well as drive innovation in AI risk and regulatory compliance needs.
  • Some ongoing Leidos AI initiatives include helping the Department of Defense make training and other materials more easily accessible and improving the efficiency of new software testing using digital twinning solutions. GenAI also increasingly features in Leidos’ digital transformation work, as the company utilizes the technology to expedite the mapping of legacy IT infrastructures, which in turn accelerates downstream systems modernization. Leidos has also developed AI-based natural language solutions enabling military operators to interact more easily with autonomous drones deployed in contested environments.
  • Infosys launched the Responsible AI suite, which includes accelerators across three main areas: Scan (identifying AI risk), Shield (building technical guardrails) and Steer (providing AI governance consulting). These capabilities will help Infosys strengthen ecosystem trust via the Responsible AI Coalition as well as foundation models and emerging startups. These models and startups are increasingly important among clients, many of which are reaching a point of fatigue and confusion amid a slew of GenAI-related announcements.

Cloud GenAI Use Cases

  • Staying true to its history of releasing nascent services to the market and building them up into more feature-rich offerings over time, Amazon Web Services (AWS) recently launched new capabilities for Bedrock. For example, Custom Model Import allows customers to automatically pull entire Bedrock models they have already customized, likely with SageMaker, into the Bedrock interface. This allows customers to access their own custom model through the Bedrock API interface like they would with any other model from third parties, such as Anthropic and Cohere. The feature, in addition to other built-in tools native to Bedrock, reaffirms AWS’ commitment to making the service the best place to not only access out-of-the-box models but also customize them and develop applications that will ultimately spin the IaaS meter on AWS infrastructure.​
  • Google Cloud is putting Gemini to work, embedding the LLM into core Google Cloud Platform (GCP) products, from BigQuery for analytics use cases like data preparation and query recommendation to Looker for conversational analytics and automated BI. With these features and capabilities, Gemini is now at the heart of Google Cloud’s portfolio and replaces the existing Duet AI tool, which Google Cloud touted as its “always-on AI collaborator” in both GCP and Workspace just a few months ago. Google Cloud’s rapid transition from Duet AI to Gemini speaks to how quickly the GenAI space is evolving, as new vendors enter the market with out-of-the-box LLMs and incumbents expand context windows to make models more powerful and capable of handling more complex tasks.

IT Infrastructure GenAI Use Cases

  • Dell Technologies and Supermicro have seen rapid growth with their 8-GPU servers certified on NVIDIA’s HGX platform and continue to add new liquid cooling options, networking choices and accelerator variants. In recognizing the opportunity in this market segment, Lenovo recently announced its first competing server.
  • HPE’s AI server strategy primarily revolves around its Cray supercomputers and delivering solutions through its flagship HPE GreenLake platform, although the company has also rolled out a smaller validated server stack with NVIDIA.
  • IBM is incorporating AI into its mainframe business through its Telum processor and close integrations with the watsonx platform.

Telecom GenAI Use Cases

The telecom industry is contemplating hundreds of use cases for GenAI, including those that are an evolution of traditional AI, such as chatbots.

Customer care:

  • Chatbots (intelligent versus static) to handle higher-level customer issues
  • Bill explainer
  • Dynamic, contextualized prompts for care agents
  • Foreign language support
  • Truck route optimization

Administrative functions:

  • Meeting transcription — notes/summarization
  • Legal document creation
  • Corporate document querying

IT:

  • Code development
  • Advanced threat detection and autonomous rectification

Sales:

  • First pass at creating proposals
  • Dynamic, contextualized prompts for salespeople
  • Offer customization and personalization

Marketing:

  • First pass at creating marketing materials

Network:

  • Code development
  • Performance monitoring
  • Advanced alarm management

 

$130+ Billion Emerging India Opportunity – India-centric vs. Global IT Services Firms: Who Wins and Why


 

IT Services and Consulting Aim to Succeed in the Next Era of India’s Economic Growth

While management consultancies and IT services companies have long provided their global clients with India-based resources, a surge of growth in the country’s economy over the last couple of years is causing them to shift their strategy to provide new consulting and IT services to their India-based clients.

 

The Big Four — Deloitte, EY, KPMG and PwC — are betting on India becoming the home of their fourth, or possibly even third, largest member firms. However, India-based IT services behemoths like Infosys and Tata Consultancy Services believe their entrenched market presence and strengths afford them an advantage among local clients for IT services.

 

In this TBR Insighs Live session, Principal Analyst Patrick M. Heffernan, Senior Analyst Kelly Lesiczka and Research Analyst Jill Cookingham discuss expectations for the next era of India’s economic growth. The team looks at whether local IT services vendors can really capture those opportunities from the Big Four and which vendors our research shows will lead the market overall.
 

 

In The Above TBR Insights Live Session on Consulting and IT Services in India You’ll Learn:

  • The strategies, investments and internal activities global management consultancies and global systems integrators have leveraged to address the local Indian market
  • The market minefields and systemic challenges that may slow growth in consulting and IT services
  • The consultancies and IT services companies TBR believes will lead and lag in the market

 


 

Excerpt from $130+ Billion Emerging India Opportunity – India-centric vs. Global IT Services Firms: Who Wins and Why

Vendors Are Pivoting from Offshore Outsourcing to Capturing Onshore Opportunity

  • Hiring and training patterns in the local market
  • Localized innovation in India
  • Partnerships guide portfolio expansion

Example of TBR's offshore consulting research
 
TBR Insights Live sessions are held typically on Thursdays at 1 p.m. ET and include a 15-minute Q&A session following the main presentation. Previous sessions can be viewed anytime on TBR’s Webinar Portal.

What to Expect: Cloud Provider Market Share Through 2027

Hyperscalers, Traditional Software Players and Consulting Firms Drive Hybrid Multicloud Adoption Amid Shifting Market Priorities

Cloud Providers’ Market Share Projections

Over the next five years, TBR expects to see incremental strengthening of the professional services capabilities of hyperscalers, including Amazon Web Services (AWS), Microsoft and Google Cloud, as well as traditional software players, such as Oracle and SAP. However, professional services companies such as Deloitte and Accenture, along with India-centric players, have demonstrated their ability to scale vast talent benches to serve clients and act as go-to partners for the biggest cloud vendors.
 
Graph: Cloud Professional Services Leaders 2027

Cloud Segment Forecast

Modern IT environments are increasingly relying on hybrid multicloud technologies and cloud-native applications to manage data streams, expanding professional services vendors’ importance in the market. Automation continues to threaten aspects of some segments, such as infrastructure management, but new opportunities will arise with the continual development of emerging technologies.

Cloud Providers’ Geographic Focus

As the U.S. cloud market matures, price is becoming less of a determining factor in enterprise cloud migration decisions. In many cases, customers are willing to pay a premium to get the best business outcome. In line with Western European regulations and the increasing value governments are placing on data sovereignty, cloud vendors are adjusting their go-to-market strategies to lead with localized talent and providing managed services through dedicated cloud regions that offer additional security protocols.

Cloud Market Share Expectations Through 2027

Accenture Is Expected to Continue Its Cloud Dominance, Growing Its Leadership Position Over the Next 5 Years

Accenture’s acquisition strategy has been critical to bolstering the company’s headcount with skilled cloud talent and has helped enhance its cloud business groups and the Accenture Cloud First unit. Further, leveraging inorganic assets will allow Accenture to upsell and cross-sell its consulting and IT services offerings, stimulating revenue growth. For IBM, acquisition candidates primarily consist of companies that specialize in cloud and AI capabilities, as well as industry and niche consulting experts who can support the expansion of IBM Consulting with more software and technical services.

 

Professional service providers continually expand their cloud portfolios through solution development to target cloud opportunities. For example, Cisco invested in technologies to bolster Cisco Customer Experience’s ability to support the adoption of security, cloud, analytics and IoT solutions. India-centric vendors are investing in high-demand solutions and skill sets such as AI, security and engineering to innovate within their cloud portfolios, such as Wipro FullStride Cloud Services and Infosys Cobalt.

 

To access all available cloud data and analysis, start your free Insight Center trial today.

Oracle’s Path to $100B+: Unlocking Growth with Multicloud Strategy

Oracle Is Charting a Path for Unprecedented Growth with Its ‘Infrastructure Anywhere’ Vision

Oracle has among the most complete, full-stack cloud portfolios, from infrastructure to database to applications. While Oracle Cloud World 2024 covered a sizable landscape, one theme stuck out during the four-day event: deployment flexibility. This theme reflects how much Oracle has changed compared to 2016, when Gen2 OCI (Oracle Cloud Infrastructure) launched.

 

With multitenant OCI, Dedicated Regions, Cloud@Customer and Oracle Alloy, a specialized service where customers white label OCI services inside their own data centers, Oracle has quickly emerged as one of the most flexible, delivery-agnostic IaaS vendors on the market. Of course, the other big component of Oracle’s “infrastructure anywhere” vision is multicloud, in which customers can run Oracle databases as native services hosted in the data centers of Oracle’s biggest hyperscaler competitors.

 

Not only does this move reflect a major maturity leap for Oracle, in which Oracle cozies up to its rivals to better address the needs of the customer, but it is also critical to the company’s financial strategy. In addition to giving Oracle the flexibility to allocate more capex dollars toward strategic compute and storage resources as opposed to land and buildings, this strategy will help Oracle get its on-premises database support base to the cloud faster. In doing so, Oracle may forfeit lucrative support and license contracts, but the company reports that for every $1 in lost license and support gross profit it could realize as much as $5 in gross profit in the cloud, which is a testament to how quickly the cloud business is growing.

 

The multicloud strategy is also one of the reasons Oracle awed financial analysts not only by raising its FY26 revenue targets by $1 billion, to $66 billion, but also by setting a FY29 goal of $104 billion. This target, backed by Oracle’s $99 billion RPO (remaining performance obligation) balance, implies an average corporate revenue growth rate of roughly 16% over the next five years. This kind of growth was once unheard of for Oracle, but with cloud now overtaking support as the biggest business, Oracle is a different company, and the OCI growth trajectory instills a degree of optimism in Oracle’s ability to disrupt a highly saturated market in the years to come.

Announcing Oracle Database@AWS

Based on interactions at Cloud World, it is clear the Oracle Database@AWS announcement was the most noteworthy. In our view, given Oracle already launched Oracle Database@Azure, and more recently Oracle Database@Google Cloud, which is now live in four regions, it was only a question of when, not if, Amazon Web Services (AWS) would partner with Oracle.

 

With this announcement, Oracle officially saved the biggest hyperscaler for last, onboarding all the critical partners it needs to migrate legacy database customers and accelerate cloud revenue growth. In terms of how this alliance will work, it is no different than the approach Oracle takes with Microsoft Azure and Google Cloud; Oracle will deliver the hardware and networking inside AWS data centers so customers can provision Oracle database services natively from the AWS console and have the system run in AWS, just as it would if it was hosted in OCI.

 

The approach of physically embedding OCI within other clouds as opposed to just bolting Oracle Database on to other infrastructure through a standard interconnection is important as it will not only give customers the native AWS, Azure and Google Cloud Platform (GCP) experiences they are used to, but also limit latency as the Oracle Exadata hardware is physically located with the appropriate hyperscaler.

 

One could argue Oracle is taking a lot of risk with this strategy, as it is essentially bringing customers and their data closer to AWS, Azure and GCP. But in the age of mounting competition, not to mention generative AI (GenAI), it is a risk worth taking. As one customer at a major financial services firm recently told us, “The GenAI decision makers will not be the old world relational database experts,” and these alliances could help ensure Oracle stays relevant in cloud GenAI discussions by making it easier for customers to use the data within Oracle Database for RAG (retrieval augmented generation), to fine-tune foundation models and build new applications using tools many customers are likely already using, like Amazon SageMaker.

 

We should also point out the concept of data gravity. Customers leveraging these multicloud services will still be established Oracle Database customers with some Oracle SaaS presence, and therefore the bulk of their business data gravity will naturally reside within OCI. Those customers may still be inclined to keep their databases within OCI and not extend to other clouds, but with this strategy, Oracle is at least giving them the option to do so. We expect that these multicloud offerings will gain a lot of traction among Oracle Database customers that have big application footprints on other clouds.

Oracle Analytics Is the Glue Between IaaS and SaaS

Analytics, and the ability to turn data into business insight, is the ultimate objective for nearly every organization. With popular tools like Power BI and Tableau as well as neutral data platforms like Snowflake on the market, customers have a lot of choices when crafting the analytics stack.

 

But customers have also made it clear they want to limit the integration burden, and one of the compelling things about Oracle’s approach to analytics is how it can store customers’ operational data from Fusion applications in the Autonomous Data Warehouse (ADW) for analytics as part of a single SKU. This approach, productized as Fusion Data Intelligence (FDI), reinforces the value of Oracle playing in both the SaaS and IaaS markets and its ability to deliver a unified solution.

Evolving the Data Lake Strategy and Competing as a Unified Solution

Access to operational data in the Fusion suite will remain the hallmark differentiator for FDI, but it is on the infrastructure side where Oracle took a big leap forward with the launch of Intelligent Data Lake. Oracle has been elevating its data lake strategy and positioning for some time, but this announcement puts Oracle more squarely into the space.

 

At its core, Intelligent Data Lake is a reworking of existing OCI capabilities, such as cataloging and integration, to create a single abstraction layer that in true data lake fashion, allows customers to query data on object storage, such as Amazon S3 or Microsoft OneLake, with support for the popular Apache Iceberg and Delta Lake frameworks.

 

To be fair, with Fabric and BigLake, Microsoft and Google Cloud, respectively, have been similarly making advancements with the data lake architecture to better address analytics workloads. However, Oracle is not only adding the simplicity and performance benefits of the data lake but also delivering the architecture in a way in which customers can run the entire data pipeline and still have all the analytics components in a single SKU.

 

With Oracle’s launch of a native Salesforce integration with FDI, which allows customers to combine their CRM and Fusion data within the lakehouse architecture, Oracle’s vision of embedded clouds at the database layer is extending to analytics.

 

Though FDI’s draw will still be primarily with existing Oracle customers, the company is clearly taking steps to help combine Fusion with non-Fusion data and make its platform more relevant within the cloud ecosystem. While FDI may not rip and replace the analytics footprint within any particular account, we could see scenarios where FDI displaces some components of the stack, such as Snowflake at the infrastructure layer, or on the analytics side, PowerBI in Microsoft Fabric.

New Applications Are Being Built on the Analytics Stack

In general, scaling the existing platform components of Oracle Analytics is a top priority for the company, but there is another emerging piece of the analytics vision: Intelligent Applications. Coming soon, Oracle will offer applications — People Leader Workbench for HCM and Supply Chain Command Center for SCM — that sit on top of the Fusion system of record, within the FDI platform.

 

This approach should allow Oracle to target a broader set of personas. For example, in People Leader Workbench, it is not necessarily about reaching only the C-Suite but rather anyone who manages people and can benefit from data-driven insights on their people, and most notably, take action on that insight by connecting back to the Fusion HCM system of record.

What About GenAI?

GenAI has officially exited the hype cycle and is being widely deployed within the enterprise, but when it comes to analytics, capabilities like dashboarding, semantic models and visualization are still taking precedence It is still early, but customer feedback suggests that if data is properly configured and there are guardrails in place, GenAI in analytics has a lot of potential.
 

Dive into the complexities of vendor partnerships in this recent TBR Insights Live session — Click the image below to watch on demand today!

On-demand Video - TBR Insights Live webinar: How to Think as a Partner in the Era of GenAI

One of the key announcements at the event was the general availability of Analytics Cloud AI Assistant in Oracle Analytics Cloud (OAC), which is based on a large language model (LLM) so customers can ask questions about their data. Staying in line with the rest of the Oracle strategy, where GenAI is fully embedded into the portfolio and available to customers at no added cost, the analytics assistant will be available to OAC customers for free as part of their existing instances.

Speaking of SaaS and IaaS

From database alliances to the data lake architecture, Oracle has made many calculated moves at the PaaS layer to better compete for strategic workloads. But there are other innovations and key developments in the upper and lower rungs of Oracle’s cloud portfolio.

Oracle Targets Complete End-to-end Process Automation with AI Agents in Fusion Suite

Since it first entered the GenAI game in late 2023, Oracle stood out in the SaaS market for not upcharging customers for GenAI in their SaaS applications. This speaks to Oracle’s play at the IaaS layer with the OCI GenAI Service, which is native to the same infrastructure where all Oracle’s SaaS applications live.

 

Logically, this approach means that as Oracle’s LLM partners, which host in OCI, push the boundaries of their models, Fusion customers stand to benefit in not just using GenAI for basic assisted authoring and summarization use cases (e.g., writing a job description in Fusion HCM or summarizing customer calls in CX), but actually contextualizing data. In the long term, this could mean providing reasoning on that data to manage more complex workflows and deliver business recommendations.

 

At this time last year, Oracle announced 50 GenAI use cases in the SaaS suite. This year, the applications team announced the number of use cases has grown to over 100, while there are now more than 50 AI agents within the Fusion suite. This announcement marks a progression in how Oracle is moving from more generic prompt-and-response use cases in Fusion to actual contextualization use cases, by applying LLM-based RAG agents to address specific goals and roles within a particular business function. In Fusion HCM, this could include a benefits analyst agent, offering users the ability to ask questions, such as which health plan features are available, based on the enrollment data contained in Fusion HCM and the health plan document specific to the company.

 

But the most commonly cited example throughout the event was the Document IO agent in Fusion ERP, which can convert a picture of a quote in a particular currency into U.S. dollars and automatically create and load a purchase order (PO) within the system. With these AI agents, we see Oracle taking the next big step in addressing more complete process automation and productivity enhancements within its SaaS portfolio, and ultimately a shift in mindset where it is less about delivering an ERP system or an HCM system but more about completing end-to-end business process and experience.

OCI Strategy Centers on Growing Within the Large Enterprise and Attracting Cloud-natives

Oracle’s ability to offer among the most flexible cloud delivery methods is the focus of the OCI strategy and strategic road map, led by high-profile partnerships with AWS and others. But Oracle’s strategy is about being agnostic to not only where customers run OCI but also how they run OCI.

 

For example, at Cloud World Oracle announced Dedicated Region 25, a longtime investment and feat of engineering that essentially consolidates a standard Oracle Cloud region into just three racks, which we physically saw on the keynote stage. This configuration extends the value proposition of Dedicated Region, where customers can get the scale and economics of the public cloud inside their own data centers.

 

Dedicated Region 25 could also play a big role in helping Oracle reach new customers. Oracle’s multicloud alliances will undoubtedly be appealing to the large enterprise customer base, but offerings like Dedicated Region 25 could help Oracle attract cloud-native and AI companies looking for a more compact footprint that can still scale to support critical workloads.

Conclusion

Led by its partnership with AWS, Oracle Cloud World 2024 told a story of a maturing business that is turning competitors into partners to better address the needs of the customer. By keeping the lifeblood of the cloud stack, the database, relevant in customers’ cloud transformations, Oracle also ensures it remains competitive in GenAI scenarios, which aligns with the GenAI investments the company is making in other areas of the stack, from analytics to Fusion applications.

 

As the company continues to navigate as a full-stack vendor catering to the existing Oracle base, while simultaneously gaining relevance in the broader cloud ecosystem, there is a lot of potential ahead, and Oracle is well on its way to becoming a $100-plus billion company.