Latest news with #GenerativeAI
Geek Vibes Nation
2 hours ago
- Business
- Geek Vibes Nation
From AI To Gen AI: How Cloud Computing Is Accelerating Intelligent Automation
Over the past few years, AI has gone from being a future idea to a basic technology used by many industries. AI allows organizations in both customer service and manufacturing to streamline their workflows and make better decisions. Our shift to Gen AI in AI is bringing about an increased use of intelligent automation, made stronger by cloud computing. When Gen AI is linked to cloud computing, it affects more than technology; it also reforms how enterprises work, experiment and reach their targets. Still, what roles does cloud computing play in this development? How can we help professionals keep up with these evolving trends? We're ready to get started. Being aware of the stance from AI to Gen AI To truly value cloud computing, you must be familiar with the movement of AI into Gen AI. AI systems that use traditional approaches receive training from organized data, then look for patterns and generate predictions or decisions. You might think about machine learning algorithms that distinguish images, estimate sales or recognize fraud. Generative AI is an even bigger development than creating repetitive text. It does not limit itself to understanding or forecasting; it also makes original work. With help from GPT and diffusion models for image generation, Gen AI generates text that reads like what a human would write, as well as types of coding, musical pieces, videos and anything else viable. Because of this capability, AI is starting to carry out creative and thought tasks that people previously did alone — writing advertisements, designing models and providing data for training other models. Cloud Computing Supports the Main Framework for Intelligent Automation Although Gen AI has a lot of promise, it takes a lot of effort and resources to create and implement these models. Very large language models (LLMs) cannot be trained unless one has a lot of data, powerful computers and enough storage — and all of these are readily available through cloud computing. Here's why cloud platforms are speeding up the Gen AI revolution for automation. Easily Scalable Resources for Model Training and Using the Model GPT-4 and Google's Gemini need billions of parameters and a large amount of data to develop their models. The way organizations run on their own servers is not flexible enough to tackle today's requirements. People working in AI can quickly increase or reduce compute power (AWS EC2, Google TPUs, Azure VMs) from the cloud as needed. This way, AI is accessible to startups, educational places, as well as technology leaders, since they can test and use the cloud or pay as needed. Qlouds offers a straightforward way to use pre-made models and APIs. Providers of cloud technology now make Gen AI models accessible via application programming interfaces. You can access OpenAI's models on Azure, as well as Google's PaLM models from Vertex AI. By doing this, Gen AI now allows developers to build apps using existing models, instead of having to build and train their own. It only takes calling an API for businesses to add tasks such as summarization, translation or the generation of images into their processes, resulting in much shorter development times. Artificial Intelligence development with integrated toolchains Developing AI in the cloud is supported by complete platforms used along the entire process. Such resources consist of data import tools, places to train models (for example, SageMaker and Azure ML Studio), tracking experiments, versions of the models and MLOps pipelines. With this integration, automated solutions are developed more easily as data science, engineering and operations teams work together without as many problems. Organizations should focus on Security, Compliance and Governance. Because AI is now central to business operations, data privacy and the integrity of models are very important. Thanks to advanced security measures, identity verification, logs for everything and compliance certifications, businesses can rely on the AI they create. Intelligent Automation in Real Business Settings Take a look at these ways in which Gen AI and the cloud are supporting intelligent automation: Gen AI courses are used to train agents of AI on specific information, letting them address consumer concerns with natural speech which reduces work for people. Developers can now use GitHub Copilot which uses Gen AI, to make programming faster and help avoid making errors. IDP systems supported by Gen AI enable people in financial services to retrieve information from invoices, contracts and KYC documentation much faster with fewer mistakes. AI diagnostics in healthcare work with cloud records and images to notice diseases early and form fitting treatment plans just for each person. Gaining new knowledge for the age of AI and the Cloud Since there is an upsurge in Gen AI-powered automation by companies, skilled people who can handle both AI and cloud are needed more than ever. All types of developers and data professionals need to learn more about these areas to stay important. Join an artificial intelligence course to gain solid knowledge of machine learning, deep learning and natural language processing. Most of these programs involve doing projects with data that is typical within a company setting. Find courses that cover large language models, prompt engineering, ethical AI and building things with APIs from companies including OpenAI, Cohere and Anthropic. Don't forget the basics — take on cloud computing courses to master cloud architecture, creating code for your infrastructure, dockerization and the services provided by AWS, Azure and Google Cloud. Connecting information from these three parts of engineering helps professionals build solutions that truly matter. What's ahead: Introducing the New Wave of Co-Pilots The future will see cloud computing and Gen AI working together as the main drivers of new digital change. We are headed toward having AI assistants at our sides in many fields such as HR, finance, law and creative industries. Not only will these systems take care of routine activities, but they will also work together with people to make work more effective and encourage new ideas. More mature quantum computing and edge AI will fuel the growth of cloud platforms as the central system for this smart enterprise. Conclusion Cloud computing is playing a big role in the growth of intelligent automation from AI to Gen AI. Because of this combination, businesses are able to invent more quickly, expand more wisely and use their resources more effectively. As technology advances, anyone focused on learning both AI, Gen AI and cloud computing will help design the future. No matter if you're new to AI or seeking greater expertise, now is the best time to look for the right courses on artificial intelligence, dabble in gen ai classes and build a stronger base with cloud computing courses. Caroline is doing her graduation in IT from the University of South California but keens to work as a freelance blogger. She loves to write on the latest information about IoT, technology, and business. She has innovative ideas and shares her experience with her readers.
Business Wire
8 hours ago
- Business
- Business Wire
Elastic Reports Fourth Quarter and Fiscal 2025 Financial Results
SAN FRANCISCO--(BUSINESS WIRE)-- Elastic (NYSE: ESTC) ('Elastic'), the Search AI Company, announced financial results for its fourth quarter and full fiscal year ended April 30, 2025. Fourth Quarter Fiscal 2025 Financial Highlights Total revenue was $388 million, an increase of 16% year-over-year, as reported and on a constant currency basis Elastic Cloud revenue was $182 million, an increase of 23% year-over-year, as reported and on a constant currency basis GAAP operating loss was $12 million; GAAP operating margin was -3% Non-GAAP operating income was $60 million; non-GAAP operating margin was 15% GAAP net loss per share was $0.16; non-GAAP diluted earnings per share was $0.47 Operating cash flow was $87 million with adjusted free cash flow of $85 million Cash, cash equivalents, and marketable securities were $1.397 billion as of April 30, 2025 Full Fiscal 2025 Financial Highlights Total revenue was $1.483 billion, an increase of 17% year-over-year, as reported and on a constant currency basis Elastic Cloud revenue was $688 million, an increase of 26% year-over-year, as reported and on a constant currency basis GAAP operating loss was $55 million; GAAP operating margin was -4% Non-GAAP operating income was $225 million; non-GAAP operating margin was 15% GAAP net loss per share was $1.04; non-GAAP diluted earnings per share was $2.04 Operating cash flow was $266 million with adjusted free cash flow of $286 million 'Elastic achieved a strong quarter, culminating in a solid finish to the fiscal year,' said Ash Kulkarni, Chief Executive Officer, Elastic. 'We delivered strong growth, fueled by our sales execution and the persistent demand for our solutions, with our innovation velocity thriving. We exceeded guidance across all revenue and profitability metrics, demonstrating our leadership in Search AI as customers continue to build Generative AI applications and consolidate onto our platform.' Fourth Quarter Fiscal 2025 Key Metrics and Recent Business Highlights Key Customer Metrics Total customer count with Annual Contract Value (ACV) greater than $100,000 was over 1,510 compared to over 1,460 in Q3 FY25, and over 1,330 in Q4 FY24 Total subscription customer count was approximately 21,500 compared to approximately 21,350 in Q3 FY25, and approximately 21,000 in Q4 FY24 Net Expansion Rate was approximately 112% Product Innovations and Updates Expanded Elastic Cloud Serverless, now generally available in 1 region on Google Cloud and 4 regions on AWS Introduced Automatic Migration to automate the migration of SIEM detection rules, simplifying the transition to Elastic Security Integrated the Elasticsearch vector database as a native RAG option for Google Cloud's Vertex AI Platform, allowing joint customers to build RAG applications in a single workflow Expanded LLM observability support for Google Cloud's Vertex AI Platform, providing comprehensive visibility into LLM performance Delivered ES|QL Joins functionality in search, observability, and security solutions, allowing customers to combine data from different indices Released general availability of our industry-leading Better Binary Quantization (BBQ) in Elasticsearch to make it an even more efficient and performant vector database, delivering memory reductions while preserving accuracy Released general availability of Elastic Distributions of OpenTelemetry (EDOT), a portfolio of OpenTelemetry (OTel) components designed to improve infrastructure and application monitoring, reinforcing our focus of driving open standards adoption Other Business Highlights Acquired Keep Alerting Ltd, an open source AIOps platform that unifies alerts and automates incident remediation, helping users manage alerts to improve operational efficiency and service reliability Announced a collaboration with NVIDIA to bring Elasticsearch as a recommended vector database for the NVIDIA Enterprise AI Factory and to deliver GPU-accelerated indexing and vector search on Elasticsearch Signed a five-year global Strategic Collaboration Agreement with Amazon Web Services (AWS), deepening our partnership through solution integrations, joint go-to-market and marketing initiatives Awarded two Google Cloud Partner of the Year awards for Artificial Intelligence for our achievements in the Google Cloud ecosystem Engaged with thousands of customers and partners across ElasticONs in Sydney and Singapore, at the Elastic Public Sector Summit in Washington D.C., and the Google Cloud Next industry conference Financial Outlook The Company is providing the following guidance: For the first quarter of fiscal 2026 (ending July 31, 2025): Total revenue is expected to be between $396 million and $398 million, representing 14% year-over-year growth at the midpoint (13% year-over-year constant currency growth at the midpoint) Non-GAAP operating margin is expected to be approximately 11.5% Non-GAAP diluted earnings per share is expected to be between $0.41 and $0.43, assuming between 107.5 million and 108.5 million diluted weighted average ordinary shares outstanding For fiscal 2026 (ending April 30, 2026): Total revenue is expected to be between $1.655 billion and $1.670 billion, representing 12% year-over-year growth at the midpoint (11% year-over-year constant currency growth at the midpoint) Non-GAAP operating margin is expected to be approximately 16% Non-GAAP diluted earnings per share is expected to be between $2.24 and $2.32, assuming between 109.0 million and 111.0 million diluted weighted average ordinary shares outstanding The guidance assumes, among others, the following exchange rates: 1 Euro = 1.120 US Dollars; and 1 Great British Pound = 1.335 US Dollars. See the section titled 'Forward-Looking Statements' below for information on the factors that could cause our actual results to differ materially from those expressed or implied in our forward-looking statements. We present historical and forward-looking non-GAAP financial measures in addition to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP. See the section entitled 'Statement Regarding Use of Non-GAAP Financial Measures' below for an explanation of these non-GAAP measures. A reconciliation of forward-looking non-GAAP measures to the corresponding GAAP measures for operating margin and net (loss)/earnings per share is not available without unreasonable effort due to the uncertainty regarding, and the potential variability of, many of the costs and expenses that may be incurred in the future. These items necessary to reconcile such non-GAAP measures could be material and have a significant impact on the Company's results computed in accordance with GAAP. Conference Call and Webcast Elastic's executive management team will host a conference call today at 2:00 p.m. PT/5:00 p.m. ET to discuss the Company's financial results and business outlook. A live audio webcast of the conference call will be available through Elastic's Investor Relations website at A presentation containing financial and operating information will be available at the same website. The replay of the webcast will also be available on the investor relations website. About Elastic Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners. Forward-Looking Statements This press release contains forward-looking statements that involve substantial risks and uncertainties, which include, but are not limited to, statements regarding our expected financial results for the fiscal quarter ending July 31, 2025 and fiscal year ending April 30, 2026, the expected performance or benefits of and demand for our offerings, our product strategy and innovation, performance in the industries in which we operate, and customer use and adoption of our platform. Actual outcomes and results may differ materially from those contemplated by these forward-looking statements due to uncertainties, risks, and changes in circumstances, including but not limited to those related to: our future financial performance, including our expectations regarding our revenue, cost of revenue, gross profit or gross margin, operating expenses (which include changes in sales and marketing, research and development and general and administrative expenses), and our ability to achieve and maintain future profitability; our ability to continue to deliver and improve our offerings and develop new offerings (including innovations around AI use cases); customer acceptance and purchase of our new and existing offerings; the expansion and adoption of our Elastic Cloud offerings; our ability to realize value from investments in the business; our ability to maintain and expand our user and customer base; the impact of the evolving macroeconomic and geopolitical environments on our business, operations, hiring and financial results, and on businesses and spending priorities of our customers and partners; the impact of our pricing model strategies on our business; the impact of our licensing model on the use and adoption of our software; the impact of foreign currency exchange rate fluctuations, the uncertain inflation and interest rate environment, and tariffs and other international trade policies on our results; our international expansion strategy; our operating results and cash flows; the sufficiency of our capital resources; our ability to successfully execute our go-to-market strategy; our forecasts regarding our business; and general market, political, economic and business conditions. Any additional or unforeseen effects from the evolving macroeconomic and geopolitical environments may exacerbate these risks. Additional risks and uncertainties that could cause actual outcomes and results to differ materially from those expressed or implied in our forward-looking statements are included in our filings with the Securities and Exchange Commission (the 'SEC'), including our Annual Report on Form 10-K for the fiscal year ended April 30, 2024 and subsequent quarterly and current reports filed with the SEC. SEC filings are available on the Investor Relations section of Elastic's website at and the SEC's website at Elastic assumes no obligation to, and does not currently intend to, update any such forward-looking statements, except as required by law. Statement Regarding Use of Non-GAAP Financial Measures In addition to our results determined in accordance with U.S. generally accepted accounting principles ('GAAP'), we believe the non-GAAP measures discussed below are useful in evaluating our operating performance. We use these non-GAAP financial measures to evaluate our ongoing operations and for internal planning and forecasting purposes. We believe that non-GAAP financial information, when taken collectively, may be helpful to investors because it provides consistency and comparability with past financial performance. However, non-GAAP financial information is presented for supplemental informational purposes only, has limitations as an analytical tool and should not be considered in isolation or as a substitute for financial information presented in accordance with GAAP. In addition, other companies, including companies in our industry, may calculate similarly-titled non-GAAP measures differently or may use other measures to evaluate their performance, all of which could reduce the usefulness of our non-GAAP financial measures as tools for comparison. Investors are cautioned that there are a number of limitations associated with the use of non-GAAP financial measures and key metrics as analytical tools. Investors are encouraged to review the differences between GAAP financial measures and the corresponding non-GAAP financial measures, and not to rely on any single financial measure to evaluate our business and financial results. Reconciliations of historical GAAP financial measures to their respective historical non-GAAP financial measures are included below. In relation to constant currency non-GAAP financial measures, the only reconciling item between GAAP financial measures and non-GAAP financial measures is the effect of foreign currency rate fluctuations. Further details on how we calculate such effects can be found in the definition of 'Constant Currency' below. Non-GAAP Gross Profit and Non-GAAP Gross Margin We define non-GAAP gross profit and non-GAAP gross margin as GAAP gross profit and GAAP gross margin, respectively, excluding stock-based compensation expense and related employer taxes and amortization of acquired intangible assets. We believe non-GAAP gross profit and non-GAAP gross margin provide our management and investors consistency and comparability with our past financial performance and facilitate period-to-period comparisons of operations, as these metrics generally eliminate the effects of certain variables from period to period for reasons unrelated to overall operating performance. Non-GAAP Operating Income and Non-GAAP Operating Margin We define non-GAAP operating income and non-GAAP operating margin as GAAP operating loss and GAAP operating margin, respectively, excluding stock-based compensation expense and related employer taxes, amortization of acquired intangible assets, acquisition-related expenses, and restructuring and other related charges. We believe non-GAAP operating income and non-GAAP operating margin provide our management and investors consistency and comparability with our past financial performance and facilitate period-to-period comparisons of operations, as these metrics generally eliminate the effects of certain variables from period to period for reasons unrelated to overall operating performance. Non-GAAP Net Income and Non-GAAP Earnings Per Share We define non-GAAP net income as GAAP (loss)/income, excluding stock-based compensation expense and related employer taxes, amortization of acquired intangible assets, acquisition-related expenses, restructuring and other related charges, one-time litigation settlements, the related income tax effect of the foregoing adjustments, and the income tax impact from the release of any valuation allowance against deferred tax assets. We define non-GAAP earnings per share, basic, as non-GAAP net income divided by weighted average shares outstanding and non-GAAP earnings per share, diluted, as non-GAAP net income divided by weighted average diluted shares outstanding, which includes the potentially dilutive effect of the company's employee equity incentive plan awards. We believe non-GAAP earnings per share provides our management and investors consistency and comparability with our past financial performance and facilitates period-to-period comparisons of operations, as this metric generally eliminates the effects of certain variables from period to period for reasons unrelated to overall operating performance. Adjusted Free Cash Flow and Adjusted Free Cash Flow Margin Adjusted free cash flow is a non-GAAP financial measure that we define as net cash provided by operating activities adjusted for cash paid for interest on long-term debt less cash used for investing activities for purchases of property and equipment. Adjusted free cash flow margin is calculated as adjusted free cash flow divided by total revenue. Adjusted free cash flow does not represent residual cash flow available for discretionary expenditures since, among other things, we have mandatory debt service requirements. Constant Currency We compare the percent change in certain results from one period to another period using constant currency information to provide a framework for assessing how our business performed excluding the effect of foreign currency rate fluctuations. In presenting this information, current and comparative prior period results are converted into United States dollars at the exchange rates in effect on the last day of our prior fiscal year, rather than the actual exchange rates in effect during the respective periods. Contact Information Anthony Luscri Elastic Investor Relations ir@ Alexia Russell Elastic Corporate Communications PR-Team@ Elastic N.V. Condensed Consolidated Statements of Operations (in thousands, except share and per share data) (unaudited) Three Months Ended April 30, Year Ended April 30, 2025 2024 2025 2024 Revenue Subscription $ 361,741 $ 310,984 $ 1,384,520 $ 1,176,606 Services 26,691 24,015 98,776 90,715 Total revenue 388,432 334,999 1,483,296 1,267,321 Cost of revenue Subscription 72,092 65,047 282,585 246,285 Services 25,693 22,824 97,288 83,794 Total cost of revenue 97,785 87,871 379,873 330,079 Gross profit 290,647 247,128 1,103,423 937,242 Operating expenses Research and development 94,665 93,951 365,758 341,951 Sales and marketing 161,796 151,628 617,176 559,648 General and administrative 46,206 43,098 175,186 160,628 Restructuring and other related charges — 4,163 225 4,917 Total operating expenses 302,667 292,840 1,158,345 1,067,144 Operating loss (12,020 ) (45,712 ) (54,922 ) (129,902 ) Other income, net Interest expense (5,844 ) (7,109 ) (25,307 ) (26,132 ) Other income, net 13,162 9,171 48,660 33,278 Loss before income taxes (4,702 ) (43,650 ) (31,569 ) (122,756 ) Provision for (benefit from) income taxes 11,679 (2,550 ) 76,545 (184,476 ) Net (loss) income $ (16,381 ) $ (41,100 ) $ (108,114 ) $ 61,720 Net (loss) earnings per share attributable to ordinary shareholders Basic $ (0.16 ) $ (0.41 ) $ (1.04 ) $ 0.62 Diluted $ (0.16 ) $ (0.41 ) $ (1.04 ) $ 0.59 Weighted-average shares used to compute net (loss) earnings per share attributable to ordinary shareholders Basic 105,084,869 101,323,761 103,661,704 99,646,231 Diluted 105,084,869 101,323,761 103,661,704 103,980,132 Expand Elastic N.V. Condensed Consolidated Balance Sheets (in thousands, except share and per share data) (unaudited) 2025 2024 Assets Current assets: Cash and cash equivalents $ 727,543 $ 540,397 Restricted cash 3,671 2,692 Marketable securities 669,717 544,002 Accounts receivable, net of allowance for credit losses of $5,510 and $4,979 as of April 30, 2025 and April 30, 2024, respectively 375,613 323,011 Deferred contract acquisition costs 86,205 78,030 Prepaid expenses and other current assets 68,258 42,765 Total current assets 1,931,007 1,530,897 Property and equipment, net 6,589 5,453 Goodwill 319,417 319,380 Operating lease right-of-use assets 22,334 20,506 Intangible assets, net 11,404 20,620 Deferred contract acquisition costs, non-current 117,762 114,509 Deferred tax assets 168,045 225,544 Other assets 16,295 5,657 Total assets $ 2,592,853 $ 2,242,566 Liabilities and Shareholders' Equity Current liabilities: Accounts payable $ 17,150 $ 26,075 Accrued expenses and other liabilities 86,347 75,292 Accrued compensation and benefits 93,714 93,691 Operating lease liabilities 8,928 12,187 Deferred revenue 802,117 663,846 Total current liabilities 1,008,256 871,091 Deferred revenue, non-current 50,340 30,293 Long-term debt, net 569,729 568,612 Operating lease liabilities, non-current 16,357 12,898 Other liabilities, non-current 20,937 21,487 Total liabilities 1,665,619 1,504,381 Shareholders' equity: Preference shares, €0.01 par value; 165,000,000 shares authorized, 0 shares issued and outstanding as of April 30, 2025 and April 30, 2024 — — Ordinary shares, par value €0.01 per share: 165,000,000 shares authorized; 105,534,887 shares issued and outstanding as of April 30, 2025 and 101,705,935 shares issued and outstanding as of April 30, 2024 1,112 1,070 Treasury stock (369 ) (369 ) Additional paid-in capital 2,049,416 1,750,729 Accumulated other comprehensive loss (23,204 ) (21,638 ) Accumulated deficit (1,099,721 ) (991,607 ) Total shareholders' equity 927,234 738,185 Total liabilities and shareholders' equity $ 2,592,853 $ 2,242,566 Expand Elastic N.V. Condensed Consolidated Statements of Cash Flows (in thousands) (unaudited) Three Months Ended April 30, Year Ended April 30, 2025 2024 2025 2024 Cash flows from operating activities Net (loss) income $ (16,381 ) $ (41,100 ) $ (108,114 ) $ 61,720 Adjustments to reconcile net (loss) income to cash provided by operating activities: Depreciation and amortization 2,291 4,146 12,315 17,999 Amortization of premium and accretion of discount on marketable securities, net (1,401 ) (2,412 ) (7,186 ) (8,808 ) Amortization of deferred contract acquisition costs 25,201 22,157 96,688 78,549 Amortization of debt issuance costs 284 271 1,117 1,069 Non-cash operating lease cost 2,280 2,862 10,040 11,010 Stock-based compensation expense 65,540 62,793 257,782 239,137 Deferred income taxes 1,256 (6,917 ) 57,431 (217,195 ) Unrealized foreign currency transaction loss (gain) 909 (337 ) 2,211 1,930 Other 53 — 39 (34 ) Changes in operating assets and liabilities, net of impact of business acquisitions: Accounts receivable, net (100,440 ) (94,563 ) (48,903 ) (63,519 ) Deferred contract acquisition costs (39,721 ) (45,745 ) (106,691 ) (119,834 ) Prepaid expenses and other current assets (12,414 ) 2,637 (25,320 ) (2,875 ) Other assets (8,075 ) 1,267 (10,794 ) 1,906 Accounts payable 7,758 15,214 (8,952 ) (9,998 ) Accrued expenses and other liabilities 22,645 16,716 9,845 18,144 Accrued compensation and benefits 9,665 15,848 (546 ) 17,357 Operating lease liabilities (2,417 ) (3,295 ) (11,906 ) (12,391 ) Deferred revenue 129,946 111,406 147,112 134,595 Net cash provided by operating activities 86,979 60,948 266,168 148,762 Cash flows from investing activities Purchases of property and equipment (2,117 ) (845 ) (4,345 ) (3,450 ) Business acquisitions, net of cash acquired — (149 ) — (19,100 ) Purchases of marketable securities (160,803 ) (178,560 ) (549,574 ) (536,833 ) Sales, maturities, and redemptions of marketable securities 192,263 121,200 435,251 271,423 Net cash provided by (used in) investing activities 29,343 (58,354 ) (118,668 ) (287,960 ) Cash flows from financing activities Proceeds from issuance of ordinary shares under employee stock purchase plan 12,629 10,024 23,093 19,135 Proceeds from issuance of ordinary shares upon exercise of stock options 9,841 1,429 17,854 20,919 Net cash provided by financing activities 22,470 11,453 40,947 40,054 Effect of exchange rate changes on cash, cash equivalents, and restricted cash 4,815 (625 ) (322 ) (4,407 ) Net increase (decrease) in cash, cash equivalents, and restricted cash 143,607 13,422 188,125 (103,551 ) Cash, cash equivalents, and restricted cash, beginning of period 587,607 529,667 543,089 646,640 Cash, cash equivalents, and restricted cash, end of period $ 731,214 $ 543,089 $ 731,214 $ 543,089 Expand Elastic N.V. Reconciliation of GAAP to Non-GAAP Data Adjusted Free Cash Flow (in thousands, except percentages) (unaudited) Three Months Ended April 30, Year Ended April 30, 2025 2024 2025 2024 Net cash provided by operating activities $ 86,979 $ 60,948 $ 266,168 $ 148,762 Less: Purchases of property and equipment (2,117 ) (845 ) (4,345 ) (3,450 ) Add: Interest paid on long-term debt — — 23,719 23,719 Adjusted free cash flow (1) $ 84,862 $ 60,103 $ 285,542 $ 169,031 Net cash provided by (used in) investing activities $ 29,343 $ (58,354 ) $ (118,668 ) $ (287,960 ) Net cash provided by financing activities $ 22,470 $ 11,453 $ 40,947 $ 40,054 Net cash provided by operating activities (as a percentage of total revenue) 22 % 18 % 18 % 12 % Less: Purchases of property and equipment (as a percentage of total revenue) — % — % — % — % Add: Interest paid on long-term debt (as a percentage of total revenue) — % — % 1 % 1 % Adjusted free cash flow margin 22 % 18 % 19 % 13 % Expand (1) Adjusted free cash flow includes cash paid for restructuring and other charges of $3.8 million during the year ended April 30, 2025, and $0.6 million and $2.1 million during the three months and year ended April 30, 2024, respectively. There were no cash payments for restructuring and other charges during the three months ended April 30, 2025. Expand Elastic N.V. Reconciliation of GAAP to Non-GAAP Data (in thousands, except percentages, share and per share data) (unaudited) Three Months Ended April 30, Year Ended April 30, 2025 2024 2025 2024 Gross Profit Reconciliation: GAAP gross profit $ 290,647 $ 247,128 $ 1,103,423 $ 937,242 Stock-based compensation expense and related employer taxes 6,959 6,260 25,830 22,743 Amortization of acquired intangibles 1,526 3,214 9,213 12,353 Non-GAAP gross profit $ 299,132 $ 256,602 $ 1,138,466 $ 972,338 Gross Margin Reconciliation (1): GAAP gross margin 74.8 % 73.8 % 74.4 % 74.0 % Stock-based compensation expense and related employer taxes 1.8 % 1.9 % 1.7 % 1.8 % Amortization of acquired intangibles 0.4 % 1.0 % 0.6 % 1.0 % Non-GAAP gross margin 77.0 % 76.6 % 76.8 % 76.7 % Operating (Loss) Income Reconciliation: GAAP operating loss $ (12,020 ) $ (45,712 ) $ (54,922 ) $ (129,902 ) Stock-based compensation expense and related employer taxes 69,613 66,895 269,915 250,459 Amortization of acquired intangibles 1,526 3,214 9,213 14,496 Acquisition-related expenses 501 210 682 2,450 Restructuring and other related charges — 4,163 225 4,917 Non-GAAP operating income $ 59,620 $ 28,770 $ 225,113 $ 142,420 Operating Margin Reconciliation (1): GAAP operating margin (3.1 )% (13.6 )% (3.7 )% (10.3 )% Stock-based compensation expense and related employer taxes 17.9 % 20.0 % 18.2 % 19.8 % Amortization of acquired intangibles 0.4 % 1.0 % 0.6 % 1.1 % Acquisition-related expenses 0.1 % 0.1 % — % 0.2 % Restructuring and other related charges — % 1.2 % — % 0.4 % Non-GAAP operating margin 15.3 % 8.6 % 15.2 % 11.2 % Net (Loss) Income Reconciliation: GAAP net (loss) income $ (16,381 ) $ (41,100 ) $ (108,114 ) $ 61,720 Stock-based compensation expense and related employer taxes 69,613 66,895 269,915 250,459 Amortization of acquired intangibles 1,526 3,214 9,213 14,496 Acquisition-related expenses 501 210 682 2,450 Restructuring and other related charges — 4,163 225 4,917 Litigation settlement — (350 ) — (350 ) Income tax effects related to the above adjustments (2) (4,627 ) (6,770 ) 45,916 1,218 Income tax benefit from the release of a valuation allowance against deferred tax assets — (3,886 ) — (211,342 ) Non-GAAP net income $ 50,632 $ 22,376 $ 217,837 $ 123,568 Non-GAAP earnings per share attributable to ordinary shareholders, basic (1) $ 0.48 $ 0.22 $ 2.10 $ 1.24 Non-GAAP earnings per share attributable to ordinary shareholders, diluted (1) $ 0.47 $ 0.21 $ 2.04 $ 1.19 Weighted-average shares used to compute non-GAAP earnings per share attributable to ordinary shareholders, basic 105,084,869 101,323,761 103,661,704 99,646,231 Weighted-average shares used to compute non-GAAP earnings per share attributable to ordinary shareholders, diluted 107,433,076 105,380,793 106,848,670 103,980,132 Expand (1) Totals may not sum, due to rounding. Gross margin, operating margin, and earnings per share are calculated based upon the respective underlying, non-rounded data. (2) Non-GAAP financial information for the quarter is adjusted for a tax rate equal to our annual estimated tax rate on non-GAAP income. This rate is based on our estimated annual GAAP income tax rate forecast, adjusted to account for items excluded from GAAP (loss) income in calculating the non-GAAP financial measures presented above as well as other significant tax adjustments. Our estimated tax rate on non-GAAP income is determined annually and may be adjusted during the year to take into account events or trends that we believe materially impact the estimated annual rate including, but not limited to, significant changes resulting from tax legislation, material changes in the geographic mix of revenue and expenses and other significant events. Due to the differences in the tax treatment of items excluded from non-GAAP earnings, as well as the methodology applied to our estimated annual tax rates as described above, our estimated tax rate on non-GAAP income may differ from our GAAP tax rate and from our actual tax liabilities. Expand
Korea Herald
15 hours ago
- Business
- Korea Herald
Singapore Unveils Insights from World's First Technical Testing of Real World Applications of GenAI
SINGAPORE, May 29, 2025 /PRNewswire/ -- Singapore unveiled key insights from its Global AI Assurance Pilot, an initiative to catalyse emerging norms and best practices around technical testing of Generative AI (GenAI) applications. These insights then provided the blueprint for the world's first Testing Starter Kit for GenAI applications, which is now open for views. These global initiatives were announced by Mr Tan Kiat How, Senior Minister of State for Digital Development and Information at the ATxSummit 2025, the flagship event of Asia Tech x Singapore (ATxSG). These efforts put Singapore at the forefront of efforts to operationalise AI safety, accelerate trusted and responsible AI adoption and deployment, and promote international cooperation for AI that benefits all. 2. To encourage safe adoption of AI in industries, the Global AI Assurance Pilot was launched in February 2025, an initiative by the AI Verify Foundation (AIVF) and Infocomm Media Development Authority (IMDA) to catalyse emerging norms and best practices around technical testing of Gen AI applications. The pilot received strong interest from both local and international AI stakeholders, especially from companies deploying Gen AI in their business process. In the pilot, 16 specialist AI testers were paired with 17 deployers of real-world Gen AI applications – from 10 different industries including finance, healthcare, HR, people and public sectors. 3. An example of a key finding from the pilot was that Gen AI risks are often context-dependent (specific to industry, use case, culture, language and organisation). To narrow risks and tests for specific situations is a challenge and the recommendation is to involve subject matter experts throughout the application lifecycle. AIVF and IMDA will continue to work with industry to refine the pilot. Testing Starter Kit for Gen AI Apps 4. IMDA also announced plans to develop a first of its kind Testing Starter Kit for Gen AI applications. The Starter Kit generalises key insights from the Assurance Pilot and consultations with other practitioners to provide practical testing guidance for all businesses developing or leveraging GenAI applications, across sectors and use-cases. The Starter Kit provides a step-by-step guide on how to think about risks to be concerned about, highlighting common ones like hallucination, undesirable content, data disclosure, and vulnerability to adversarial prompts, and subsequently how to test the Gen AI applications. IMDA is calling for views from the industry on this Starter Kit on the testing guidance as well as recommended tests for the four identified risks. 5. The Starter Kit is complemented by testing tools such as Project Moonshot, which provides a platform enabling businesses to implement the testing guidance. The Starter Kit will continue to expand to address emerging risks and testing requirements in tandem with technological developments. 6. Both the Assurance Pilot and Starter Kit aim to uplift the capabilities of businesses in the safe deployment of Gen AI applications and build overall trust in the AI ecosystem. Singapore continues to harness AI for Public Good for Singapore and the World 7. Singapore believes in harnessing AI for Public Good and that AI can uplift economic potential, enhance social impact and meet the needs and challenges of our time. AI Singapore (AISG) will be signing a Memorandum of Understanding with the UNDP to advance AI literacy in six pilot countries aimed at closing the AI literacy divide and transforming communities in developing countries. This partnership will extend AISG's successful AI for Good (AI4Good) programme – initially launched in 2024 to bolster national AI capabilities across Asia – to an international scale. AISG's AI Student Developer Conference 8. The AI Student Developer Conference (AISDC) led by AI Singapore (AISG) brought together over 1,000 students and 60 industry partners in a two-day event dedicated to artificial intelligence innovation and talent development. A key highlight is the National AI Student Challenge (NAISC), where students from six ASEAN countries (Singapore, Indonesia, Malaysia, Thailand, Philippines, Vietnam) compete to tackle real world problems through LLM fine-tuning and prompt engineering. The conference has expanded to include ASEAN participation through its first regional challenge track, underlining Singapore's role in fostering AI talent development and collaboration across Southeast Asia. Mdm Rahayu Mahzam, Minister of State at the Ministry of Digital Development and Information will deliver the closing remarks at this event. Women in Tech 9. Mrs Josephine Teo, Minister for Digital Development and Information, spoke on a panel 'Success to Significance – Leaders Building Communities" which explored how successful Women in Tech can and have been playing impactful roles in "paying it forward" and creating equally successful communities of women. On the panel with Minister Teo were Ms Jane Sun, CEO of Ms Tan Su Shan, CEO of DBS Group, moderated by Professor Annie Koh, Professor Emeritus of Finance (Practice), Singapore Management University.
Time of India
17 hours ago
- Business
- Time of India
Mastering strategic management: Here's what it takes to become a future-ready leader
The current global business environment is marked by volatility due to geopolitical tensions, shifting monetary policies, trade dynamics, and emerging technologies. As a result, long-term planning is becoming increasingly difficult for businesses. Macro fluctuations affect corporate strategies, pushing companies to rethink supply chains and hiring policies. Businesses must therefore adopt agile risk management, monitor market signals, and capitalise on emerging opportunities. Mastering strategic thinking requires a mix of foresight and data-driven decision-making. Here are approaches companies should consider: Anticipate and connect the dots : A good strategic thinker sees beyond immediate disruptions by connecting trends across geographies and industries. This ability to think ahead helps anticipate risks and opportunities before they manifest. Embrace data-driven foresight : Use a dynamic process combining analytics, AI, and scenario planning. This separates actionable insights from noise. Keep options open : Volatility demands the ability to pivot as much as it demands long-term vision. Strategic thinking involves balancing planning with responsiveness-adjusting strategies in real time to seize opportunities or mitigate risks. Quantify and manage risk: Measuring risk enables better decision-making. Leaders who are aware of their business' risk exposure and prepare contingency plans accordingly can turn volatility into a competitive advantage. Cultivate cross-functional business acumen: Integrate insights from different teams such as finance, operations, technology, and marketing to sharpen strategic problem-solving skills. The demand for future-ready executives has never been higher, especially in the age of data-driven learning. IIM Kozhikode's Advanced Strategic Management Programme is a high-impact, year-long learning journey designed for mid- to senior-level professionals, especially those in strategic management roles. The programme offers over 150 hours of expert-led learning, a two-day campus immersion, and executive alumni status from one of India's premier B-schools. Programme highlights Immersive learning with simulations, faculty-guided capstone project, and peer collaboration from a top-tier executive education provider. IIM-K has deep capabilities in strategic leadership development Familiarisation with new age technologies such as digital transformation and business applications of Generative AI (GenAI) Exposure to cutting-edge topics such as merger and acquisition strategies, sustainability in strategy, and blue ocean innovation. Certificate of completion for participants who successfully complete all evaluation components and meet the requisite 75% minimum attendance criteria. Benefits of being IIM Kozhikode executive alumni status Opportunities to network with peers from across industries, IIM-K alumni, and industry leaders. These connections are invaluable for career growth and to stay updated with the latest industry trends Easier transition to higher-level strategic roles, advisory boards, or venture scaling Access to Kasebook, the online alumni portal Eligible to periodic newsletters and publications of IIM Kozhikode. What are the eligibility criteria? Live Events Graduates or diploma holders who have at least seven years' work experience, or five years of professional experience after post graduation. Programme fees The fee for this certificate programme is INR 2, 98, 000 + GST. Visit the programme page to know more about flexible payment options and student loans. Programme duration and modules Course commencement date: June 28, 2025 Duration: One year Mode: Both online and on-campus Some of the topics covered in the 10 modules include: Planned vs Emergent Strategy Measuring and Reporting Financial Position and Financial Performance Making Capital Investment Decisions Operations Strategy Business Strategy in a Globalised Digital & Highly Regulated World Making Strategic Alliances Work Business Models of the Future Leading High-performance Teams Diagnosing, planning, and preparing for negotiations Corporate Governance Exploring Possible Solutions: Design Thinking Processes & Tool Kits The Advanced Strategic Management Programme by IIM Kozhikode is unique due to its focus on the latest strategic management practice, its rigorous, application-oriented curriculum, and track record of boosting career prospects. It is especially tailored to meet the needs of senior executives who face complex strategic challenges. Visit the programme page for more details on faculty and FAQs.
Yahoo
20 hours ago
- Business
- Yahoo
Singapore Unveils Insights from World's First Technical Testing of Real World Applications of GenAI
First Global AI Assurance Pilot brought global testing companies and GenAI deployers to test real world uses World's first Starter Kit for Gen AI applications to provide practical guidance to industry AI Singapore and the UN Development Programme to strengthen AI literacy and expand AI access and opportunity SINGAPORE, May 29, 2025 /PRNewswire/ -- Singapore unveiled key insights from its Global AI Assurance Pilot, an initiative to catalyse emerging norms and best practices around technical testing of Generative AI (GenAI) applications. These insights then provided the blueprint for the world's first Testing Starter Kit for GenAI applications, which is now open for views. These global initiatives were announced by Mr Tan Kiat How, Senior Minister of State for Digital Development and Information at the ATxSummit 2025, the flagship event of Asia Tech x Singapore (ATxSG). These efforts put Singapore at the forefront of efforts to operationalise AI safety, accelerate trusted and responsible AI adoption and deployment, and promote international cooperation for AI that benefits all. Global AI Assurance Pilot 2. To encourage safe adoption of AI in industries, the Global AI Assurance Pilot was launched in February 2025, an initiative by the AI Verify Foundation (AIVF) and Infocomm Media Development Authority (IMDA) to catalyse emerging norms and best practices around technical testing of Gen AI applications. The pilot received strong interest from both local and international AI stakeholders, especially from companies deploying Gen AI in their business process. In the pilot, 16 specialist AI testers were paired with 17 deployers of real-world Gen AI applications – from 10 different industries including finance, healthcare, HR, people and public sectors. 3. An example of a key finding from the pilot was that Gen AI risks are often context-dependent (specific to industry, use case, culture, language and organisation). To narrow risks and tests for specific situations is a challenge and the recommendation is to involve subject matter experts throughout the application lifecycle. AIVF and IMDA will continue to work with industry to refine the pilot. Testing Starter Kit for Gen AI Apps 4. IMDA also announced plans to develop a first of its kind Testing Starter Kit for Gen AI applications. The Starter Kit generalises key insights from the Assurance Pilot and consultations with other practitioners to provide practical testing guidance for all businesses developing or leveraging GenAI applications, across sectors and use-cases. The Starter Kit provides a step-by-step guide on how to think about risks to be concerned about, highlighting common ones like hallucination, undesirable content, data disclosure, and vulnerability to adversarial prompts, and subsequently how to test the Gen AI applications. IMDA is calling for views from the industry on this Starter Kit on the testing guidance as well as recommended tests for the four identified risks. 5. The Starter Kit is complemented by testing tools such as Project Moonshot, which provides a platform enabling businesses to implement the testing guidance. The Starter Kit will continue to expand to address emerging risks and testing requirements in tandem with technological developments. 6. Both the Assurance Pilot and Starter Kit aim to uplift the capabilities of businesses in the safe deployment of Gen AI applications and build overall trust in the AI ecosystem. Singapore continues to harness AI for Public Good for Singapore and the World 7. Singapore believes in harnessing AI for Public Good and that AI can uplift economic potential, enhance social impact and meet the needs and challenges of our time. AI Singapore (AISG) will be signing a Memorandum of Understanding with the UNDP to advance AI literacy in six pilot countries aimed at closing the AI literacy divide and transforming communities in developing countries. This partnership will extend AISG's successful AI for Good (AI4Good) programme – initially launched in 2024 to bolster national AI capabilities across Asia – to an international scale. AISG's AI Student Developer Conference 8. The AI Student Developer Conference (AISDC) led by AI Singapore (AISG) brought together over 1,000 students and 60 industry partners in a two-day event dedicated to artificial intelligence innovation and talent development. A key highlight is the National AI Student Challenge (NAISC), where students from six ASEAN countries (Singapore, Indonesia, Malaysia, Thailand, Philippines, Vietnam) compete to tackle real world problems through LLM fine-tuning and prompt engineering. The conference has expanded to include ASEAN participation through its first regional challenge track, underlining Singapore's role in fostering AI talent development and collaboration across Southeast Asia. Mdm Rahayu Mahzam, Minister of State at the Ministry of Digital Development and Information will deliver the closing remarks at this event. Women in Tech 9. Mrs Josephine Teo, Minister for Digital Development and Information, spoke on a panel 'Success to Significance – Leaders Building Communities" which explored how successful Women in Tech can and have been playing impactful roles in "paying it forward" and creating equally successful communities of women. On the panel with Minister Teo were Ms Jane Sun, CEO of Ms Tan Su Shan, CEO of DBS Group, moderated by Professor Annie Koh, Professor Emeritus of Finance (Practice), Singapore Management University. Contact: View original content to download multimedia: SOURCE Infocomm Media Development Authority of Singapore
