CIMdata Blog

IBM announced the global availability of IBM Bob, an AI-first development partner built for enterprise teams. Bob doesn’t just help developers write code fast. It works across the full software development lifecycle (SDLC), from planning and coding to testing, deployment, and modernization, with the governance and security controls enterprises need. AI is changing how software gets built. But for most enterprises, that speed is running headfirst into decades of accumulated complexity: legacy systems, hybrid environments, compliance requirements, and the very real cost of getting it wrong. Fast AI without the right guardrails is not progress. It is just faster risk. IBM Bob is designed to close that gap. It’s built on a structured framework that embeds Bob into every role across the development process – including persona-based modes, enforced standards, reusable playbooks, tool calling, and human-in-the-loop governance – so teams can move fast while staying in control.  Key capabilities include: AI-first SDLC orchestration: It is

Eptura, the global worktech leader, announced enhanced capabilities across its workplace experience, asset management, and space planning portfolio. These innovations include AI workflows to simplify how office staff and maintenance teams interact with the built environment and a shared data foundation for enterprise decision-making. Organizations manage workplace and operational processes across an average of 17 different tools according to Eptura’s Workplace Index research, fragmenting visibility and slowing response when conditions change. Eptura’s new features provide a consolidated view, allowing leaders to respond faster based on actual usage and use the same system to inform longer-term planning. “Work spans people, places, and the assets that support them, and managing that complexity requires a single point of control,” said Raj Batra, Chief Executive Officer at Eptura. “Eptura is designed to bring those interactions together, using AI to simplify how employees engage with the built environment while giving the business clearer insight into utilization, performance, and operational

DXC Technology, a leading enterprise technology and innovation partner, announced DXC OASIS, an intelligent orchestration platform that introduces a new managed services operating model. Designed as a single, governed, and secure layer, DXC OASIS integrates seamlessly across an organization's existing IT estate. It reimagines how managed services are delivered by combining human expertise with agentic AI, shifting from reactive support to real-time, intelligent operations across the entire technology environment and enabling greater confidence in mission-critical operations. Leveraging decades of DXC delivery expertise, validated through DXC's Customer Zero approach and shaped through direct customer collaboration, DXC OASIS connects every system, signal, and technology decision, bringing together human judgment and agentic AI to run critical systems with greater speed, clarity, and control.  Enterprises operate across complex multivendor environments, yet often lack a unified view of performance, cost, risk, and operational health. Technology estates have been built over years, often decades, resulting in siloed

Sage, a leader in accounting, financial, HR and payroll technology for small and medium-sized businesses (SMBs), has acquired Doyen AI, a company founded in 2024 focused on using AI to make customer onboarding and implementation faster, simpler and more accurate for finance teams. The acquisition strengthens Sage’s AI and innovation strategy by expanding its ability to deliver AI-powered implementations. This helps customers go live faster and realize value sooner, while maintaining accuracy, auditability and control required for mission-critical finance and accounting workflows.AI-powered implementations that reduce effort and accelerate time-to-value One of the biggest pain points in the customer onboarding is journey the manual process of extracting, mapping and validating financial data during migrations. This stage can take weeks and is often one of the main causes of implementation delays. Doyen AI adds applied AI capabilities that simplify and accelerate these complex workflows, including: financial data migration and validation intelligent mapping of charts of

Synopsys, Inc. announced it will report results for the second quarter fiscal year 2026 on Wednesday, May 27, 2026, after market close. The company will host a conference call at 2:00 p.m. Pacific Time / 5:00 p.m. Eastern Time to review its financial results and business outlook. Financial and other statistical information to be discussed on this conference call will be available on the corporate website at www.investor.synopsys.com immediately before the call. A live webcast will also be available on this site. Participants should access the live webcast at least 10 minutes prior to the start of the call. A webcast replay will be available beginning May 27, 2026, at approximately 5:00 p.m. PT. The replay will be available until Synopsys announces its third quarter fiscal year 2026 results. To view the original press release, please click here. Search for Synopsys on CIMdata.com

SAP SE announced its financial results for the first quarter of 2026. At a glance Current cloud backlog of €21.9 billion, up 20% and up 25% at constant currencies Cloud revenue up 19% and up 27% at constant currencies Cloud ERP Suite revenue up 23% and up 30% at constant currencies Total revenue up 6% and up 12% at constant currencies IFRS operating profit up 17%, non-IFRS operating profit up 17% and up 24% at constant currencies Christian Klein, CEO: “We had a strong start to the year, with Current Cloud Backlog growing by 25% and Cloud Revenue up 27% at constant currencies. This performance is supported by our momentum in Business AI as we are already delivering real outcomes for customers today. We are growing faster than the market and are gaining share as customers expand across our Suite and with our AI solutions. At Sapphire, we will show how we are taking the next leap forward.” Dominik Asam,

Dassault Systèmes reports its IFRS unaudited estimated financial results for the first quarter 2026 ended March 31, 2026. The Group’s Board of Directors approved these estimated results on April 22, 2026. This press release also includes financial information on a non-IFRS basis and reconciliations with IFRS figures in the Appendix. First Quarter 2026 Summary Highlights1 (unaudited, IFRS & non-IFRS unless otherwise noted, all growth rates in constant currencies) Total revenue and software revenue up 3%, both in line with objectives, with strong performance of Mainstream Innovation Annual Run Rate growth of 6% versus last year2, reaching €4.4 billion, reflecting good recurring activity IFRS Operating cash flow totaled €0.95 billion up 22% 3DEXPERIENCE software revenue up 7%, and cloud software revenue growth of 8% Non-IFRS operating margin of 30.3%, underscoring healthy operational efficiency Non-IFRS diluted EPS up 4% at €0.30 Confirming FY26 non-IFRS objectives, capitalizing on first quarter achievements Dassault Systèmes’ Chief Executive Officer and Chairman of the Board Commentary Pascal Daloz, Dassault

Improved earnings and stronger cash flow» Addnode Group delivered solid earnings growth and stronger cash flow in the first quarter of 2026. The companies acquired in 2025 performed well and, combined with cost savings, contributed to our favorable earnings performance. At the same time, we have laid the foundation for future earnings growth by continuing to implement AI, developing new offerings and optimizing the organization. « Johan Andersson President and CEO First quarter January–March 2026 Net sales increased by 5 percent to SEK 1,531 m (1,461). Net sales were impacted by currency effects of SEK -61 m (12). Currency-adjusted organic net sales decreased by 6 percent. EBITA increased by 26 percent to SEK 274 m (217). Currency effects had an impact of SEK -3 m (5) on EBITA. The EBITA margin was 17.9 percent (14.9). Restructuring costs had an impact of SEK 24 m on earnings in the preceding year. Before restructuring costs, EBITA

IBM announced first-quarter 2026 earnings results. "The first quarter was a strong start to the year with broad-based revenue growth across our segments. These results reflect the integrated value of our portfolio and the trust clients put in us to improve their operations. As clients scale use cases, AI continues to be a tailwind for our global business. IBM products and services are helping clients orchestrate, deploy and govern AI across hybrid environments," said Arvind Krishna, IBM chairman, president and chief executive officer. "Given this strong start, we continue to expect more than 5 percent constant currency revenue growth and an increase of about $1 billion in year-over-year free cash flow in 2026." First-Quarter Highlights Revenue - Revenue of $15.9 billion, up 9 percent, up 6 percent at constant currency - Software revenue up 11 percent, up 8 percent at constant currency - Consulting revenue up 4 percent, up 1 percent at constant currency

Cadence announced results for the first quarter of 2026. First Quarter 2026 Financial Results Revenue of $1.474 billion, compared to revenue of $1.242 billion in Q1 2025 GAAP operating margin of 29.3%, compared to 29.1% in Q1 2025 Non-GAAP operating margin of 44.7%, compared to 41.7% in Q1 2025 GAAP diluted net income per share of $1.23, compared to $1.00 in Q1 2025 Non-GAAP diluted net income per share of $1.96, compared to $1.57 in Q1 2025 Quarter-end backlog was $8.0 billion and revenue expected to be recognized in the next 12 months from remaining performance obligations was $4.0 billion “Cadence had a strong start to 2026, delivering a solid Q1 with accelerating AI demand and record backlog, reflecting strong customer commitment to our AI-driven portfolio,” said Anirudh Devgan, president and chief executive officer. “Cadence is leading the agentic AI transformation in semiconductor and system design, pioneering the industry's most advanced and comprehensive agentic AI full-flow platform, AgentStack,