IT Consulting & Other Services

International Business Machines announced a new collaboration with Zscaler and Red Hat to tighten application security for enterprise clients. The joint effort combines IBM and Red Hat software platforms with Zscaler threat intelligence to provide real-time protections at the application layer. The partners plan to coordinate vulnerability discovery, automated policy updates, and validated software remediation workflows for shared customers. International Business Machines is a US-based IT group with a reported market value of about $214.0 billion, and its integrated solutions and services span the Americas, Europe, the Middle East, Africa and the Asia Pacific. One figure to watch is how much of IBM's reported US$24.6b of annual recurring revenue comes from security and hybrid cloud offerings connected to Red Hat and Zscaler style deployments.

IBM's consulting segment posted $647 million in second-quarter profit, up 15.1% from $562 million a year earlier, even as revenue edged up just 0.2% to $5.327 billion, according to results and a quarterly filing dated July 22. IBM attributed the improvement primarily to productivity actions, partly offset by investment in innovation, and consulting gross margin also improved to 28.9% from 27.5%. Consulting signings rose 5% as reported, with a trailing book-to-bill ratio of 1.05, though signings are management estimates rather than a standardized revenue measure. At the reported revenue base, one percentage point of consulting margin equals $53.3 million of quarterly segment profit, so a one-point retreat would absorb more than three-fifths of the quarter's $85 million year-over-year profit gain. Repeating 15% profit growth with a flat margin would require roughly 15% revenue growth, or, with flat revenue, a segment margin rise from about 12.1% to 14.0%.

International Business Machines Corporation has launched IBM Ready for SAP SE Solutions, a program aimed at helping midsize and fast-growing businesses modernize their enterprise resource planning systems. Under the program, IBM will combine its industry expertise, fit-to-standard implementation approach and IBM Consulting Advantage, its artificial intelligence-powered consulting delivery platform, to accelerate the adoption of SAP Cloud ERP. IBM helped Volumetric Building Companies reduce operational cycle times by 50% across purchasing, manufacturing and inventory processes after a three-month SAP Cloud ERP transformation, and also supported Second Nature Brands in integrating its acquired Voortman Bakery business into a common enterprise platform. According to research from the IBM Institute for Business Value, 68% of enterprises consider accelerating ERP modernization important for improving operational efficiency and maintaining competitiveness. IBM faces competition from Microsoft Corporation and Amazon.com, Inc., with Microsoft expanding its Dynamics 365 ERP software with AI tools and Amazon Web Services helping businesses integrate AI tools with SAP ERP systems.

Aofei Data announced that the company's actual controller, chairman and general manager Feng Kang proposed that the company use its own funds or self-raised funds to buy back part of its A-shares, with the total buyback amount no less than 50 million yuan and no more than 100 million yuan. The shares bought back this time will be used for employee stock ownership plans or equity incentives.

Aofei Data announced on October 9 that Feng Kang, the company's actual controller, chairman, and general manager, proposed to buy back company shares for 50 million to 100 million yuan. The repurchased shares will be used for employee stock ownership plans or equity incentives.

Aofei Data announced on October 9 that its actual controller and chairman, Feng Kang, proposed the company use its own funds or self-raised funds to repurchase part of its RMB ordinary shares through centralized bidding. The buyback amount will be no less than 50 million yuan and no more than 100 million yuan, with a buyback period of 12 months from the date the board approves the plan. In the first half of 2026, Aofei Data achieved revenue of 1.469 billion yuan and net profit attributable to the parent of 197 million yuan.

Fujitsu has completed a share repurchase tranche that ran from 1 July to 30 September 2026, buying 9,183,300 shares, or 0.53% of its stock, for ¥32,823.91 million. At a share price of ¥4,125.0, the company has posted a 23.24% 90 day share price return and a 9.27% 30 day gain, though its year to date share price performance declined 4.27%. The most followed narrative values Fujitsu at a fair value of ¥4,833.85, framing the buyback as one piece of a wider thesis built on digital services, AI infrastructure and margin improvement, with modernization revenue up 44% year over year, Uvance revenue up 52% year over year, and Uvance now 29% of segment sales. The article notes that Fujitsu's heavy reliance on Japanese digital transformation budgets and declining international revenue leave the undervaluation story exposed if overseas recovery stalls.

Worldwide spending on artificial intelligence is forecast to reach $2.59 trillion in 2026, up 47% from $1.76 trillion in 2025, and to climb to $3.49 trillion in 2027, according to Gartner. AI infrastructure is the largest piece of that total at $1.43 trillion this year, more than 45% of all AI spending, and Gartner Distinguished VP Analyst John-David Lovelock called 2026 the inflection year. The forecast is showing up in results from the latest reporting season, with Microsoft reporting fiscal 2026 fourth quarter revenue of $90.0 billion, up 18%, and Microsoft Cloud revenue of $59.3 billion, up 27%, while Meta reported second quarter 2026 revenue of $60.80 billion, up 28%, and guided full-year 2026 capital expenditures of $130 billion to $145 billion. Broadcom reported third quarter fiscal 2026 revenue of $29.6 billion, up 86%, including AI semiconductor revenue of $16.7 billion, up 221%, and guided fourth quarter AI semiconductor revenue to $21.7 billion, while AMD reported second quarter 2026 revenue of $11.5 billion, up 50%, with Data Center segment revenue of $6.7 billion, up 107%.

DARPA has selected IBM and IonQ to lead the next phase of its Quantum Benchmarking Initiative, aimed at developing a fault-tolerant quantum computer. The two companies advanced to Stage C of the program, which moves beyond conceptual plans to hardware tests conducted by DARPA's independent verification and validation team. DARPA launched the Quantum Benchmarking Initiative in 2024 to determine whether an industrially useful fault-tolerant quantum computer can be built by 2033, and IBM and IonQ both took part in the first two stages. IBM is developing its Quantum Starling fault-tolerant computer and expects to deliver the first fault-tolerant system in 2029, according to Jay Gambetta, Director of IBM Research, while IonQ is pursuing continued improvement and deployment of its Superion systems. The Stage C agreement has a potential value of $300M to continue validating IonQ's approach to delivering large-scale fault-tolerant quantum computers, though funding beyond the initial obligation remains subject to future appropriations and DARPA funding actions.

GABLE, also known as GABLE, has disclosed that its business outlook for the second half of 2026 will continue to grow from the first half, with a large number of projects currently under bidding and being presented to customers, which will help increase the value of its work in hand from the level of 7.318 billion baht as of the end of the second quarter of 2026. Dr. Chaiyuth Chunhacha, Chief Executive Officer, said that the company is currently in the process of having its third-quarter 2026 financial statements reviewed by the auditor, and expects operating results in the fourth quarter of 2026 to continue growing. The company is benefiting from demand for investment in new technologies, including AI, data centers, cloud systems, and cyber security, with its main customer group being financial institutions, which account for approximately 80 to 90 percent of its total customer portfolio. Meanwhile, the government market accounts for only a small share of revenue because its projects are seasonal in nature. The company also aims for 2026 operating results to grow more than last year, provided there are no negative factors from the macroeconomy. The key risk lies in the timing of project delivery, which may be delayed by uncontrollable events such as floods or additional special holidays.

International Business Machines has reached the final phase of DARPA's Quantum Benchmarking Initiative, according to an early October update. Under the current DARPA program framework, IBM is targeting delivery of a fault-tolerant quantum computer by 2029. The closing stage of the initiative involves validation work alongside US government and academic partners focused on industrially useful quantum performance metrics. International Business Machines, a US-based IT group with a reported market value of about $208.5b, sells integrated solutions and services across the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The DARPA milestone complements IBM's existing focus on hybrid cloud, AI consulting and products such as IBM Bob, Digital Asset Haven and Ready for SAP Solutions, layering quantum computing as a long-term initiative on top of recurring software, Red Hat growth and the z17 mainframe program.

DXC Technology has unveiled new Assure Platform capabilities and Smart Apps aimed at workflow automation, AI adoption and tighter operational control for insurers, announced at the DXC Connect Insurance Executive Forum in London. The tools are designed for insurers that want AI driven capabilities without replacing their existing core systems. The company said recurring software, SaaS and AI revenue in insurance is growing at 24%, supported by products including OASIS, CoreIgnite, Horizon and Assure Smart Apps. DXC Technology last closed at $12.02, against a widely followed fair value estimate of $11.21 that uses a 12.54% discount rate, leaving the prevailing analyst narrative calling the stock about 7% overvalued, while a Simply Wall St DCF model estimates a future cash flow value of $35.27. The shares have returned 29.81% over 90 days and 10.99% over 7 days, but are down 14.63% year to date and down 64.01% on a 5-year total shareholder return basis.

iSoftStone disclosed on October 8 that as of September 30, 2026, the company had repurchased 4.29 million shares, accounting for 0.41% of total share capital, with a total repurchase amount of 158 million yuan and a repurchase price range of 34.89 yuan to 39.5 yuan per share. In the first half of 2026, iSoftStone achieved revenue of 18.607 billion yuan and a net loss attributable to the parent company of 265 million yuan.

ArcSoft Technology announced on October 8 that as of September 30, 2026, the company had repurchased 1.18 million shares, accounting for 0.29% of total share capital, with a total repurchase amount of 36.27 million yuan. The actual repurchase price range was 29.07 yuan to 34.76 yuan per share. In the first half of 2026, ArcSoft Technology achieved revenue of 440 million yuan and net profit attributable to the parent company of 77.14 million yuan.

IBM has been selected for Stage C, the third phase of the Quantum Benchmarking Initiative led by DARPA, the United States Defense Advanced Research Projects Agency. The phase moves IBM into DARPA's verification process, in which independent experts extensively test and measure quantum hardware, technology, systems engineering, and architectures to determine whether a company can build a fault-tolerant quantum computer. Jay Gambetta, Director of IBM Research and IBM Fellow, said advancing to the third stage validates the strength of IBM's path to building a fault-tolerant quantum computer, and that IBM expects to deliver the first fault-tolerant system in 2029. DARPA launched the QBI in 2024 to determine whether an industrially useful fault-tolerant quantum computer can be built by 2033, defining such a system as one whose computational value will exceed its cost. IBM progressed through Stage A, which required an initial technical concept, and Stage B, which called for a comprehensive research and development plan with risk mitigation approaches; Stage C performers now move beyond conceptual plans to evaluation by DARPA's QBI independent verification and validation team. IBM's quantum computers are used today by a network of more than 340 organizations, and the company has said it plans to deliver the world's first fault-tolerant quantum computer, IBM Quantum Starling.

IBM has been selected for Stage C, the third phase of the Quantum Benchmarking Initiative led by DARPA, the United States Defense Advanced Research Projects Agency. This phase moves IBM beyond conceptual plans and into evaluation by DARPA's QBI independent verification and validation team, which will extensively test and measure quantum hardware, technology, systems engineering, and architectures to determine whether a company can build a fault-tolerant quantum computer. Jay Gambetta, Director of IBM Research and IBM Fellow, said advancing to the third stage validates the strength of IBM's path to building a fault-tolerant quantum computer, adding that IBM expects to deliver the first fault-tolerant system in 2029. DARPA launched the QBI in 2024 to determine whether an industrially useful fault-tolerant quantum computer can be built by 2033, defining such a system as one whose computational value will exceed its cost; IBM has now progressed through all three stages, after Stage A required an initial technical concept and Stage B called for a comprehensive research and development plan with risk mitigation approaches. IBM said its quantum computers are already used as scientific tools by a network of more than 340 organizations across financial services, healthcare, materials science, academia, and government, and that it plans to deliver the world's first fault-tolerant quantum computer, IBM Quantum Starling.

International Business Machines Corporation introduced a self-hosted deployment option for IBM Bob, its agentic software development platform, letting enterprises adopt AI-powered software development and modernization tools while retaining greater control over sensitive data, source code and development environments. The offering can be deployed across on-premises, private-cloud, sovereign-cloud and air-gapped infrastructure, making it particularly relevant for organizations with stringent security, regulatory and data-residency requirements. IBM is seeking to address growing enterprise demand for secure and governed AI adoption by enabling customers to run supported AI models within controlled environments or connect to external models through hybrid configurations. The enhancement complements IBM's broader hybrid cloud and AI strategy, alongside its watsonx platform and the HashiCorp buyout that augmented its hybrid multi-cloud capabilities. IBM has plummeted 23.6% over the past year against the industry's growth of 155.8%, while earnings estimates for 2026 have moved up 2.5% to $12.33 and for 2027 have increased 3% to $13.19. The company faces stiff competition from Amazon Web Services and Microsoft Azure, and a potent threat from Anthropic, whose Claude Code tool can modernize legacy COBOL systems embedded in IBM's mainframe ecosystem.

Nextdoor Holdings, Inc. announced Neighborhood Intelligence, a proprietary data engine that lets advertisers target, message and measure down to the neighborhood rather than just the ZIP code. The engine is built on Nextdoor's neighborhood graph, which the company says draws on 15 years of neighborhood-level data and verified neighbors tied to real addresses, with accurate boundaries drawn for 350,000 real neighborhoods. Neighborhood Intelligence layers neighbor, home and neighborhood signals on top of that graph, and in ZIP codes where Nextdoor has neighborhood coverage there are an average of 12 distinct neighborhoods per ZIP. In local market testing between Q2 2025 and Q2 2026, pilot campaigns using Neighborhood Intelligence tactics delivered a 1.28x lift in brand awareness, a 1.16x lift in ad recall and a 1.28x lift in brand favorability compared to previous ZIP-code-based strategies, along with roughly 12x greater granularity than ZIP-code targeting on average. Chief Revenue Officer Michael Kiernan said customers across every vertical wanted a better way to understand and reach audiences at the neighborhood level, and capabilities powered by Neighborhood Intelligence are now available on request.

IBM announced IBM Ready for SAP Solutions, a new offering to help midsize and fast-growing organizations accelerate cloud ERP modernization, unify enterprise data, and establish an AI-ready digital core. Volumetric Building Companies, a global modular construction company, cut operational cycle times by 50% across purchasing, manufacturing, and inventory processes after a three-month SAP Cloud ERP transformation with IBM. Second Nature Brands, a creator of premium snacks and treats, completed an SAP Cloud ERP transformation with IBM that integrated its acquired Voortman Bakery business and established a common enterprise platform for its operations. IBM said the solution combines its industry expertise, fit-to-standard delivery, and IBM Consulting Advantage, its AI-powered consulting delivery platform, and is currently available in limited countries and for specific industries, with plans to expand globally. According to IBM Institute for Business Value research, 68% of enterprises say accelerating ERP modernization is important to improving operational efficiency and maintaining competitiveness.

IBM announced IBM Ready for SAP Solutions, a new offering developed with SAP to help midsize and fast-growing organizations accelerate cloud ERP modernization, unify enterprise data, and build an AI-ready digital core. Volumetric Building Companies, a global modular construction company, cut operational cycle times by 50% across purchasing, manufacturing, and inventory processes after a three-month SAP Cloud ERP transformation with IBM. Second Nature Brands, a creator of premium snacks and treats, completed its own SAP Cloud ERP transformation with IBM that integrated its acquired Voortman Bakery business onto a common enterprise platform. IBM said the solution combines its industry expertise, fit-to-standard delivery, and IBM Consulting Advantage, its AI-powered consulting delivery platform, and that SAP is extending its GROW Fast methodology to enable go-lives in weeks. According to IBM Institute for Business Value research, 68% of enterprises say accelerating ERP modernization is important to improving operational efficiency and maintaining competitiveness. IBM Ready for SAP Solutions is currently available in limited countries and for specific industries, with IBM planning to expand availability globally across additional industries and markets.

Land and Houses Securities Public Company Limited rates Infraset Public Company Limited, or INSET, and WHA Utilities and Power Public Company Limited, or WHAUP, as poised for continued growth from the expansion of the Data Center business and rising production capacity, and sees them as stocks with catalysts from new investment projects in the period ahead. For INSET, the analyst maintains a buy recommendation with a target price of 5.25 baht, expecting profit in the second half of 2026 to accelerate steadily, particularly in the third quarter of 2026, which has the potential to grow both quarter on quarter and year on year. The key driver comes from the gradual recognition of revenue from six Data Center projects in hand, with a combined size of approximately 335 MW. At the same time, there is remaining revenue from the Trading business still to be recognized of about 290 million baht. INSET's latest backlog has risen to approximately 5.7 billion baht after securing additional new work, and the company is in the process of bidding on another four to five large projects with a combined value of approximately 10 billion baht. If it wins this work, it would be upside to the backlog and profit forecasts, and would help extend the growth of operating results into 2027. As for WHAUP, the analyst gives a buy recommendation with a target price of 8.80 baht and expects profit in 2026 and 2027 to grow outstandingly and continuously, driven mainly by revenue and capacity revenue from the water business, especially the increase in water usage from Data Center customers, as well as the recovery of the Gheco-One power plant and rising power generation capacity from Solar projects. In addition, WHAUP stands to benefit further from the new Power Development Plan through selection for new power plant projects, as well as opportunities from Direct PPA projects. For the profit trend in the third quarter of 2026, it is expected to be flat from the previous quarter, supported by the share of profit from the Gheco-One power plant, where losses from the coal business are likely to narrow, while water usage tends to increase in line with demand from petrochemical customers, together with the recognition of power generation capacity from new Solar projects providing additional support.

Gartner, Inc. has warned that it expects 70% of enterprises to abandon vendor-built agentic AI, citing high costs and limited flexibility, and cautioned that fewer than 20% of Forward-Deployed Engineering projects may be incorporated into core products by 2028, raising concerns about "FDE washing." The outlook positions Gartner as a key voice shaping how enterprises think about ownership, governance and long-term value in AI deployments, especially where vendor-led engineering models are involved. Against this backdrop, Gartner's August 2026 update that full year revenue is expected at or above US$6.375 billion, with roughly flat FX neutral growth, remains relevant as management frames demand trends while AI stays its most requested topic. Gartner's narrative projects $7.1 billion revenue and $1.1 billion earnings by 2029, requiring 3.0% yearly revenue growth and an earnings increase of about $324.6 million from $775.4 million today, while the lowest analysts assumed only about 2.3 percent annual revenue growth to roughly US$6.9 billion and US$1.0 billion in earnings. The fresh AI warning could either validate those concerns about pricing pressure or prompt a rethink if it strengthens Gartner's role as a neutral guide in a market where opinions on its long term edge differ widely.

Accenture's fair value estimate has been raised from US$187.03 to US$222.40 following the company's Q4 report and FY27 outlook. The revision reflects stronger bookings and a growing AI pipeline, with the revenue growth assumption shifting from 4.82% to 5.17%, the net profit margin assumption moving from 12.46% to 11.89%, the future P/E multiple updated from 13.98x to 15.40x, and the discount rate adjusted from 10.06% to 10.33%. Goldman Sachs, Argus, Evercore ISI, Baird, RBC Capital and Mizuho lifted their Accenture price targets into a US$235 to US$260 range, citing Q4 bookings of US$22.2b and an FY27 local currency growth framework of 3% to 6%. Guggenheim, Wells Fargo and Deutsche Bank stayed more cautious, while TD Cowen, Morgan Stanley and Susquehanna raised targets but kept Hold, Equal Weight or Neutral ratings. The narrative also flags a planned US$9b acquisition program in fiscal 2026 and joint AI safety investments with Anthropic.

Capgemini SE has entered into a share buyback agreement to neutralize the shareholder dilution from its thirteenth Employee Share Ownership Plan, the company announced on October 6, 2026. Under the agreement with an investment services provider that is also structuring the ESOP, Capgemini has undertaken to repurchase up to 3.0 million of its own shares at a maximum average buyback price of 200 euros per share, for cancellation. The buyback is separate from the €2 billion multi-year envelope announced on July 30, 2025, and follows the September 10, 2026 launch of the ESOP and the Board of Directors' authorization of a dedicated buyback envelope. The repurchase will be completed before December 17, 2026, when the ESOP capital increase reserved for employees takes effect, adding a maximum of 3.0 million shares, or 1.77% of existing share capital, with no material impact on the Group's cash position and no significant dilution of existing shareholders. Buyback transactions under the agreement will cease no later than November 4, 2026, with the price per share calculated on the volume-weighted average daily share prices over a maximum of 20 trading days starting October 8, 2026.

CGI has signed a partnership with D-Wave Quantum Inc. that folds D-Wave's hardware and hybrid solvers into CGI's client-facing technology services, moving the company's quantum computing efforts from slideware to a signed agreement. The deal lands as CGI's momentum has been mixed: its CA$101.39 share price sits after a 7 day share price return of 5.72% and a 90 day share price return of 5.90%, while its year to date share price return and 1 year total shareholder return are both down close to 20%. On the most widely followed view of the stock, a fair value of about CA$119.85 sits above the current CA$101.39 share price, putting the new D-Wave partnership into a context of already modelled AI and modernization upside. CGI's heavy reliance on large government and enterprise contracts, combined with integration risk from recent acquisitions, could weaken that upbeat, AI-driven valuation case.

Algorhythm Holdings, Inc. has appointed Greg Smith, a 30-year IBM veteran, as its newest independent director. Smith spent his entire professional career at IBM, where he managed multi-country organizations with direct responsibility for an annual budget of $2 billion and received a Global Supply Chain Leadership Award. He holds a BS in Aeronautics and an MBA from San Jose State University. CEO Andrew Thompson said Smith's understanding of organizational structure and the macro forces driving the AI data center boom will be invaluable as the company seeks growth opportunities supplying power to data center infrastructure sites using its renewable biomass power plant solutions. Algorhythm's two primary assets are Azure Holdings, a renewable biomass power generation developer, and SemiCab Holdings, an AI-enabled logistics software provider.

IBM and Red Hat announced that their Lightwell initiative has identified and remediated more than 400 previously unknown vulnerabilities in widely used Java libraries, and that Lightwell Clearinghouse is now generally available. The Clearinghouse gives enterprise customers a direct path to submit specific open source software dependencies for priority review and remediation. Through Lightwell, the two companies uncovered, remediated and backported fixes for the more than 400 previously unknown bugs in widely deployed, production-grade software, delivering version-specific patches through secured repositories that connect with customers' existing IT processes without replacing their current security scanners, software repositories, development pipelines or testing processes. Applicable fixes are contributed back to upstream open source projects under responsible disclosure protocols, with embargo protections maintained for Clearinghouse participants. Gunnar Hellekson, vice president and general manager of Lightwell at Red Hat, said AI agents have shifted the threat landscape by exploiting old dependencies at machine speed, and that finding and neutralizing 400-plus novel vulnerabilities so quickly shows how fast Lightwell can move.

Quantum X Labs Inc. reported that its GPU-accelerated quantum-simulation platform achieved approximately 16.8-fold computational acceleration over a CPU-only implementation in an analysis of more than 7 billion gene combinations drawn from real clinical data. The benchmark, run on a single AWS g4dn.16xlarge EC2 machine with 64 cores and one NVIDIA T4 Tensor Core GPU, used a real clinical gene-expression dataset of 11 patients and 3,531 gene-expression features, a high-dimensional setting in which biological variables far outnumber patients. Quantum X's proprietary algorithm, operated through its subsidiary CliniQuantum, searched for correlated three-gene configurations across the dataset, generating 7,331,162,245 possible three-gene combinations and identifying approximately 22.2 million correlated gene triplets at a predefined minimum correlation threshold. The analysis took approximately 8.4 hours using 64 vCPUs versus approximately 0.5 hours with the single NVIDIA T4 GPU, while producing the same qualifying gene-triplet results. Dr. Tidhar Turgeman, head of clinical trials data analysis, called the result an important development milestone, and the company said the benchmark evaluated computational performance only and did not establish the clinical validity, predictive value, or potential utility of any identified gene combinations. Quantum X Labs said it intends to continue advancing its algorithms toward more complex multi-feature configurations and larger biomedical datasets, progressing from simulation and validation toward execution on quantum computing hardware.

South Korean IT giant LG CNS announced on October 6 that it has begun offering KITL, a blockchain platform for financial institutions. It is being provided as a common foundation for banks, securities firms, card companies and others to build services using stablecoins, security tokens, and real-world assets. KITL includes functions needed to custody digital assets, such as electronic wallets, transaction processing on the blockchain, and collection of transaction histories, and its electronic wallet uses technology employed in Project Hangang, the digital currency pilot led by the Bank of Korea. LG CNS has also formed business partnerships with five companies: Circle, the issuer of the US dollar-pegged stablecoin USDC; Securitize, which operates a digital securities platform; Canton Foundation; Chainalysis; and Chainlink. By combining these companies' technologies with KITL, it will support financial institutions in building digital asset services. South Korea is also moving forward with regulatory groundwork to allow stocks, bonds, funds and other assets to be issued and traded on the blockchain, with the relevant law scheduled to take effect on February 4, 2027, and LG CNS says it will prepare an environment in which financial institutions can launch services in step with the law's implementation.

Cognizant Technology Solutions has been selected by air transport technology company SITA to implement a global finance transformation program covering finance, procurement, and supply chain. Under the deal, Cognizant will help SITA deliver its SKY program, deploying a cloud-based ERP platform across more than 200 countries and territories. The platform, built on Oracle Fusion Cloud, will standardize core processes and use shared data and AI-driven insights for planning, forecasting, and finance operations. SITA chief financial officer Nicolas Husson said the SKY program aims to deliver strong business outcomes, and that standardizing core processes on Oracle Fusion Cloud and building AI into operations should create a more agile finance organization and a strong foundation for the company's next phase of growth.