CIMdata Blog

KORE Group Holdings, Inc. (“KORE” or the “Company”), the global pure-play Internet of Things (“IoT”) hyperscaler, and provider of IoT Connectivity, Solutions and Analytics, announced that it will be presenting at the Emerging Growth Conference on Thursday, February 8, 2024. KORE management will host a 30-minute presentation beginning at 2:20 p.m. Eastern time (11:20 a.m. Pacific time) to discuss its strategy, company history, and industry positioning. President and CEO Romil Bahl and CFO Paul Holtz will present, followed by a question-and-answer session. Interested investors and analysts are invited to attend and ask questions by registering using the following information. Emerging Growth Conference Details Webcast: Link Question Submissions: \n Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! If attendees are not able to join the event live on the day of the conference, an archived webcast will also be made available on EmergingGrowth.com and the

Simulations Plus, Inc., a leading provider of modeling and simulation software and services for pharmaceutical safety and efficacy, announced that it will participate in two healthcare conferences in February. The Company will be presenting at Oppenheimer’s 34 th Annual Healthcare Life Sciences Conference taking place virtually from February 13-14, 2024. Shawn O’Connor, chief executive officer, will be presenting on Tuesday, February 13, 2024, at 11:20 a.m. Eastern Time, and he will be meeting with investors throughout both days. The live webcast of the Company’s presentation can be accessed via this link and also on the Investors page of the Simulations Plus website where it will be available for replay following the event. For more information about the Oppenheimer Annual Healthcare Conference, or to register to attend, please visit the conference website . The Company is also scheduled to host investor meetings at BTIG at Snowbird – BTIG’s 11th Annual MedTech, Digital Health, Life Science & Diagnostic Tools Conference taking place

AECOM, the world’s trusted infrastructure consulting firm, reported first quarter fiscal 2024 results.   First Quarter Fiscal 2024   (from Continuing Operations; $ in millions, except EPS) As Reported Adjusted1 (Non-GAAP) As Reported YoY % Change Adjusted YoY % Change   Revenue $3,900 -- 15% --   Net Service Revenue (NSR)2 -- $1,708 -- 7%   Operating Income $163 $223 7% 17%   Segment Operating Margin3 (NSR) -- 15.0% -- +100 bps   Net Income $97 $144 11% 22%   EPS (Fully Diluted) $0.71 $1.05 15% 25%   EBITDA4 -- $251 -- 14%   Operating Cash Flow $143 -- 19% --   Free Cash Flow5 -- $87 -- 4%   Design Backlog $21,847 -- 9%6 --   First Quarter Fiscal 2024 Highlights Revenue increased 15% to $3.9 billion, operating income increased 7% to $163 million, the operating margin decreased 30 basis points to 4.2%, net income increased 11% to $97 million and diluted earnings per share increased 15% to $0.71; results included a ($29) million after-tax adjustment to the fair value of AECOM Capital investments. Organic net service revenue2 in the design business increased by 9% in the Americas and 8% overall. The segment adjusted1 operating margin3 on an NSR basis increased by 100 basis points to 15.0%, which marked a new first quarter high. Margin expansion was driven by high-returning organic growth; the Company reaffirmed its 17% long-term margin goal. Adjusted1 EBITDA4 and adjusted1 EPS increased by 14% and 25%, reflecting the benefits from

Hewlett Packard Enterprise will conduct a live audio webcast of its conference call to review its financial results for the first quarter of fiscal 2024, which ended January 31, 2024. The call is scheduled for Thursday, February 29, at 4:30 p.m. CST (5:30 p.m. ET), and the webcast will be available at www.hpe.com/investor/2024Q1Webcast. A replay of the audio webcast will be available at the same website shortly after the call and will remain available for approximately one year. To view the original press release, please click here. Search for HPE on CIMdata.com

The Nemetschek Group, a globally leading software provider for digital transformation in the construction and media industries, has successfully concluded the financial year 2023. According to preliminary figures, the Nemetschek Group clearly achieved its guidance for revenue growth and profitability for the financial year, which was already increased in October. Group revenue for the financial year 2023 grew by 6.2% (constant currency: 8.0%) to EUR 851.6 million (2022: EUR 801.8 million) despite the ongoing subscription and SaaS transition of the business model and a challenging market environment. The currency-adjusted growth was therefore at the upper end of the already increased guidance range of 6% to 8%. Group operating earnings before interest, taxes, depreciation, and amortization (EBITDA) increased to EUR 257.7 million (previous year: EUR 257.0 million). As already specified in October, the EBITDA margin of 30.3% was at the upper end of the forecast corridor of 28% to 30%. Annual recurring revenue (ARR) increased by 23.5%

The latest release from Ansys, 2024 R1, introduces an elevated user experience designed to increase digital engineering productivity with AI. Combined with an open architecture, 2024 R1 streamlines engineering workflows, facilitates stronger collaboration, fosters real-time interactions, and elevates project outcomes. Next-generation products are becoming increasingly complex systems that include integrated electronics, embedded software, and ubiquitous connectivity. To ensure the various components of these systems work together requires the predictive power of integrated multiphysics simulation solutions. Access to powerful engineering tools that can solve multiphysics challenges must be easy and intuitive to keep up with customer requirements for high-quality, reliable, and more sustainable products. Ansys 2024 R1 improves accessibility and the user experience with new, customizable interfaces.  “Increased engineering complexity is a challenge for every industry, from software-defined electric vehicles, or electric vertical take-off and landing aircraft, to bespoke silicon and in-silico healthcare trials,” said Shane Emswiler, senior vice president of products at Ansys. “Ansys

Chris Jeznach of aPriori published a blog post to announce the release of aPriori’s Winter Cloud Update. Chris says, “We’ve categorized our new Manufacturing Insights Platform features into three main themes: I.Design Engineering Updates and Productivity aP Design Updates Data and Modeling Electronics and PCBA/Wire Harness Improvements Regional Data Library (RDL) Updates III. Sustainability Insights Enhancements aP Workspace: Expanded Sustainability Insights” Read the full blog post here: https://www.apriori.com/blog/apriori-winter-cloud-release-update-24/ To view the original press release, please click here. Search for aPriori on CIMdata.com

Autodesk, Inc. unveiled Autodesk Informed Design, a cloud-based solution that connects design and manufacturing workflows to streamline the building design and construction process. Informed Design allows architects to work with customizable, pre-defined building products that yield valid results and manufacturers to share their products with design stakeholders. Informed Design unlocks industrialized construction – the application of manufacturing principles to the built environment – and will help transform the architecture, engineering, construction and operations (AECO) industry. The AECO industry is facing rising pressure to accommodate growing populations, urbanization and a global housing crisis. For example, nearly 100,000 new affordable homes need to be built every day to house an estimated 3 billion people by 2030. Additionally, the industry faces pressure to improve its sustainability; construction is one of the most wasteful industries in the world and it’s responsible for nearly 40% of global CO2 emissions. “The way the AECO industry works today is not sustainable or scalable. For the industry

announced the launch of Replicon Time Tracking and Polaris PSA for Government Contracting. Purpose-built for the unique needs of government contractors, the new time-tracking and PSA solutions support regulatory compliance and seamless integration regardless of the ERP or financial system currently being used. Deltek’s Replicon Time Tracking for Government Contracting and Polaris PSA for Government Contracting seamlessly integrate with top-tier ERP systems, Customer Relationship Management (CRM) platforms, Human Capital Management (HCM) platforms and payroll providers, including Deltek's flagship ERP, Deltek Costpoint, and SAP. Both allow for flexibility and scalability while supporting industry-leading compliance, including FAR, DFARS and CAS accounting and timekeeping compliance requirements, to help streamline DCAA audits. Both solutions also adhere to data protection and security standards, including GDPR, FedRAMP, NIST 800-171, NIST SP 800-53 and ISO/IEC 27001:2013, and are supported by SOC 1 and SOC 2 reports issued by an independent audit.  Replicon Time Tracking supports government contractors looking to streamline and scale operations with user-friendly

Siemens is releasing a new generative artificial intelligence (AI) functionality into its predictive maintenance solution – Senseye Predictive Maintenance. This advance makes predictive maintenance more conversational and intuitive. Through this new release of Senseye Predictive Maintenance with generative AI functionality, Siemens will make human-machine interactions and predictive maintenance faster and more efficient by enhancing proven machine learning capabilities with generative AI.  Synergy of generative AI and machine learningSenseye Predictive Maintenance uses artificial intelligence and machine learning to automatically generate machine and maintenance worker behavior models to direct users’ attention and expertise to where it’s needed most. Building on this proven foundation, now a generative AI functionality is being introduced that will help customers bring existing knowledge from all of their machines and systems out and select the right course of action to help boost efficiency of maintenance workers. Currently, machine and maintenance data are analyzed by machine learning algorithms, and the platform