Skip to content
中文Subscribe

#机器学习

Today0items
Sep 26Sat
  1. Skift Feed

    Expedia Cuts 58 Roles in Seattle

    Expedia is cutting 58 roles in Seattle, according to a Washington WARN notice filed this week, with the layoffs set to take place between November 21 and December 1. The notice lists several senior roles, including an SVP position Skift previously reported in August, and of 31 total technical positions, 18 are in data science and machine learning. In a statement, Expedia characterized the cuts as streamlining efforts mainly related to finance, saying its Global Finance team is making changes mostly to simplify its org structure, with some employees moving to new roles or locations and some roles being eliminated.

Sep 23Wed
  1. Hospitality Technology

    SiteMinder Unveils 'Dynamic Commerce Engine' to Audit Distribution Health and Automate Revenue Tuni…

    Hotel commerce platform SiteMinder launched its AI-driven Dynamic Commerce Engine, designed to identify and execute optimizations across both pricing and foundational channel distribution health. The tool uses machine learning models to detect underlying distribution errors such as unmapped room types, broken channel connections and inventory sync failures that lead to abandoned bookings and revenue leakage. Its models train on roughly 4 billion availability, rates and inventory (ARI) signals processed annually across SiteMinder's global footprint of 56,000 properties and 2.6 million rooms. The system surfaces scored optimization recommendations that require explicit user approval before ex…

Aug 11Tue
  1. PhocusWire All News

    Zerolook secures $1.9M to address AI search volumes

    Swiss startup Zerolook raised $1.9 million in pre-seed funding for its machine learning product that predicts flight prices and itineraries, aiming to reduce search volumes on airline systems. According to OAG, up to 20,000 searches are currently needed to generate one ticket sale, and agentic AI could push that to 200,000. Zerolook's model is trained on historical fare, schedule, and availability data, providing predicted itineraries and prices with confidence scores.

Dec 18Thu
  1. Amadeus Newsroom

    Amadeus Launches Machine-Learning Filter to Cut Unproductive NDC Search Traffic

    Amadeus has made available Advanced Airline Profile within the Amadeus Travel Platform, a machine-learning-powered filtering solution that removes irrelevant requests from travel sellers before polling airline systems. As NDC search volumes grow, airline systems are increasingly overwhelmed, leading some carriers to scale back NDC ambitions or impose look-to-book limits on travel agencies. Early results show unproductive traffic reduced by up to more than 70%, depending on the airline profile, without compromising offer quality. Deployment is underway across all Amadeus NDC airlines and is expected to be fully finalized by Q1 2026.

Oct 28Mon
  1. SAP Concur Blog

    SAP Concur Podcast: How AI is Shaping the Future of Financial Professionals

    The SAP Concur Conversations podcast explores how AI is transforming financial functions and elevating the work of financial professionals. Guest Nathanael L'Heureux (Chief Solutions Ambassador at Oversight) notes that AI and machine learning can automate mundane tasks, enhance fraud detection, and work in tandem with human expertise. The podcast discusses how financial professionals can become 'AI champions' in their organizations and what skills will be crucial. The conversation emphasizes that AI is a tool requiring human guidance and suggests finance professionals learn AI tools, choose appropriate technologies, and become thought leaders.

Feb 29Thu
  1. SAP Concur Blog

    SAP Concur Outlines Vision for Future of Travel and Expense Management

    At its SAP Concur Fusion customer event, SAP Concur shared its vision for the future of travel and expense management, where these tasks practically manage themselves, removing the need to write expense reports, understand compliance policies, or sacrifice personal preferences. The company said it will develop solutions that are intelligent, predictive, instinctive, and continuously learning, leveraging its position as one of the largest aggregators of travel and expense data to improve efficiency, compliance, and employee satisfaction through generative AI and machine learning.

Sep 29Fri
Jul 24Mon
  1. SAP Concur Blog

    SAP Concur Verify: AI-Powered Expense Audit Advances

    SAP Concur introduces Verify, its AI-powered self-serve audit solution. In the past year, Verify performed over 38 million audit checks on expense reports submitted through Concur Expense, with an average of one third flagged monthly for organizational review. Verify added 10 new checks covering duplicate receipts, old dates, personal use of company cards, and more, and is now generally available for enterprise customers in the U.S. and Canada.

Jul 18Mon
  1. SAP Concur Blog

    Getting Clarity and Compliance as Spending Policies Shift

    A SAP Concur blog post notes that remote work and disrupted travel led companies to shift spending policies, while supply-chain chaos and inflation further clouded the policy picture. SAP Concur research shows the spending violation rate increased last year and excessive personal expenses jumped nearly 22%. The post recommends automation, AI, and machine learning to strengthen auditing, guide employee compliance, and adapt to policy changes.

Jun 29Wed
  1. SAP Concur Blog

    Your Risk of Risk Is on the Rise. See How Intelligence Can Keep It Under Control

    SAP Concur blog discusses how intelligent technologies help control spend risk. Employees have more spending options, and traditional cost containment struggles. The Intelligent Enterprise uses ML, AI, and IoT to provide visibility, focus, and agility, unifying spend views, improving compliance, optimizing employee experience, and providing flexible tools.

  2. SAP Concur Blog

    ACFE Poll: 80% of Fraud Examiners Back AI and ML in Travel and Expense Programs

    A SAP Concur blog post cites an Association of Certified Fraud Examiners (ACFE) webcast poll on August 12 in which 80% of members said AI and ML should be used in travel and expense programs to combat organizational fraud. The post says AI and ML let audit teams shift from searching for issues to analyzing them, reducing the cost and duration of fraud research. It also notes fewer than half (41%) of ACFE members use T&E data in individual or departmental investigations all the time or often, while 59% use it only sometimes or never because their organizations lack proper reporting or means to share and analyze data across departments.

  3. SAP Concur Blog

    SAP Concur Launches Self-Guided Expense Demo

    SAP Concur released a self-guided Concur Expense demo allowing potential customers to quickly experience the expense management process. The demo simulates a business conference trip, showing how to automatically import an Uber receipt, use machine learning to parse receipt details, create and submit an expense report, and have a manager approve via mobile app. The article highlights integrations with hotels, car rental companies, and airlines that reduce manual entry and improve compliance and spend visibility.

  4. SAP Concur Blog

    SAP Concur Fusion 2019 in San Diego Focuses on AI and Automation

    A SAP Concur blog post reviews its annual event, SAP Concur Fusion 2019, where more than 3,200 customers, partners, and employees gathered in San Diego for four days of networking, learning sessions, and micro-forums. It highlights Innovation Award winners: Alteryx eliminated manual processes and applied analytics to travel and expenses; Discovery used Concur Expense and TripLink to connect travel and expense and integrated Uber and Airbnb to let employees book directly with suppliers while staying in policy; and George Washington University moved from a paper-based system to Concur Expense for improved controls and traceability, and uses Concur Locate to protect student safety. The article…

  5. SAP Concur Blog

    Fusion Exchange Tokyo: Charting New Frontiers with Concur Labs

    A SAP Concur blog post describes Concur Labs joining Fusion Exchange Tokyo to showcase emerging technologies including virtual reality and machine learning. The event had roughly 2,000 attendees and 40 partners. It says Japan is one of Concur's fastest-growing markets. Concur Labs explores the future of travel and expense, with latest initiatives involving connected cars, conversational and voice-based interfaces, IoT integrations, machine learning, and virtual reality. It mentions a proof of concept called Project ARC created with the Concur Mobile team to improve mobile app usability for people with visual impairment, and announced Concur for Slack now supports Japanese. Concur Labs and C…

  6. SAP Concur Blog

    Robots Won't Steal Every Job But Will Do the Parts No One Likes

    A SAP Concur blog post looks at how intelligent technology will affect travel and expense management: trips that book themselves, expense reports that write themselves, and data that analyzes itself. It cites data: 80% of business travelers rely on their phone to conduct business and 88% believe technology makes travel easier to navigate; 63% of business travel managers feel travelers' risk has increased and 52% fear it will rise more in the next year; 88% of CFOs point to T&E costs as a way to optimize working capital; and 49% of today's jobs will be affected by automation.

  7. SAP Concur Blog

    Encouraging Innovation at SAP Concur Through Hackathons

    SAP Concur held the Spike Global Hackathon finals on January 30, 2018, where 12 teams from around the world out of over 100 competed. Projects ranged from visualization tools using machine learning to predict expense and travel trends, to bot assistants that speed up expense processes. To date, internal hackathons at SAP Concur have generated over 200 hacks, some of which have been integrated into internal toolchains and customer products. Team Constructors won with an event-based batch job approach, achieving 50% less instance utilization.

  8. SAP Concur Blog

    SAP Concur: Reimagining Travel and Expense Processes with AI and Machine Learning

    A SAP Concur blog post says most companies are still in the early vision and planning stages of AI and ML deployment, but these technologies can be used now to transform travel and expense processes. It notes that as countries increase regulations and enforcement, managing T&E compliance is more important than ever, and traveling employees face stricter immigration and taxation rules, such as having to file a foreign tax return for a single business trip. The post says AI- and ML-enabled solutions connect to systems inside and outside the organization to capture and analyze T&E data, helping companies track employee movements, identify hidden risks, prevent non-compliant practices and incre…

  9. SAP Concur Blog

    SAP Concur Explains Machine Learning in Travel, Expense, and Invoice Solutions

    SAP Concur published an article explaining machine learning (ML) applications in travel, expense, and invoice solutions. It describes Concur Invoice using SAP Leonardo to extract and classify data from invoice images; Concur Expense integrating with Office 365 to create expense entries from emailed receipts; ExpenseIt using ML to turn receipt photos into completed expense reports; Concur Detect by AppZen auditing 100% of expense reports; and ML use in TripIt and Concur Locate.

  10. SAP Concur Blog

    SAP Concur: Machine Learning in Travel and Expense

    A SAP Concur blog post discusses AI and machine learning in travel and expense. It cites Frank Chen, Sundar Pichai, and Forrester analyst J.P. Gownder, suggesting AI and machine learning could be the next big wave in computing. SAP's portfolio of intelligent applications is called Leonardo Machine Learning. Concur already uses machine learning and related data science algorithms to simplify travel and expense, such as using OCR and machine learning to extract total amount, date, currency, and expense type from receipt images and create expense entries. Concur Expense for Outlook (beta) can pre-populate expense entries from electronic receipts received via email. Other applications include h…

  11. SAP Concur Blog

    SAP Concur Mobile Adds On-Device Machine Learning for Receipt Capture

    SAP Concur introduced a new algorithm in the latest Concur Mobile release that predicts the total amount directly from a receipt image, running on device rather than relying first on OCR text extraction. Trained on millions of receipt images, it handles printed and handwritten totals, notably U.S. meal receipts with handwritten tips. SAP Concur says it holds the largest T&E dataset, citing IDC for more than 51% T&E market share, and processed over $115 billion in customer expenses in Q3 2018. The standalone ExpenseIt Pro app was sunset on December 31, 2018, with ExpenseIt now available inside the SAP Concur mobile app.

  12. SAP Concur Blog

    SAPPHIRE NOW Highlights Travel and Expense Management Innovation

    SAP Concur hosted multiple sessions at SAPPHIRE NOW focusing on machine learning, AI-driven fraud detection, and travel and expense management transformation. IBM will share how SAP Leonardo Machine Learning improves T&E app user experience; Shell will present consolidating multiple global expense management systems into one integrated system serving 90,000 users; EY will show how to use T&E data to reduce cross-border tax and immigration risk. Sessions also cover AI and machine learning driving intelligence, compliance and fraud detection best practices, employee spend visibility, and end-to-end integration with SAP ERP and S/4HANA.

  14. SAP Concur Blog

    C-Suite Panel: Insights on Business Travel Return and Risk Management

    In a C-Suite panel hosted by SAP Concur, former executives from Andeavor, Kennametal, and Florida Crystals shared insights on the return of business travel, risk management, and cloud technology. More than half of respondents in a recent Economist research report expect to rely on business travel as much or more than pre-pandemic. Almost three-quarters of U.S. respondents say they have experienced an increase in 'maverick spending' by employees, largely due to more employees working from home. The panel recommended adding a pre-trip approval process and using AI and ML to turn transaction data into insights.

  17. SAP Concur Blog

    SAP Concur Launches Verify, Applying AI and Machine Learning to Simplify Expense Auditing

    SAP Concur announced Verify, a new solution that uses AI and machine learning to evaluate 100% of expense reports and identify anomalies, helping auditors focus on potential problems. The article notes that the pandemic changed employee spending behavior, with SAP Concur data showing the proportion of expenses categorized as 'Other' increased by 58% from 2019 to 2020. Verify is planned to launch in Q3 2021.

  18. SAP Concur Blog

    Sentiment Analysis: How Machine Learning Helps Businesses Understand Customers

    A SAP Concur blog post introduces sentiment analysis (also known as emotion AI), which uses natural language processing and machine learning to analyze positive, negative, or neutral opinions in text, applicable to survey research, social media analysis, and tracking psychological trends. Using the hotel industry as an example, it explains that hoteliers can aggregate and assess ratings and reviews to improve guest satisfaction. SAP Concur Labs and UX Analytics developed a sentiment analysis tool for user product reviews that automatically extracts themes to understand customer feelings and identify popular and frustrating features. The article also discusses the complexity of sentiment ana…

  19. SAP Concur Blog

    AI and Machine Learning in Travel and Expense Management

    A SAP Concur blog post introduces the use of artificial intelligence (AI) and machine learning (ML) in travel, expense, and invoice management. It mentions that AI and ML can standardize policies, eliminate paper receipts, project travel budgets, and improve employee satisfaction. SAP Concur products like ExpenseIt use OCR and ML to extract receipt information, Concur Detect uses AI to audit expenses, and Concur Locate uses ML to locate employees for Duty of Care.

  20. SAP Concur Blog

    What Is Cloud ERP? From Y2K to Intelligent ERP

    The article reviews ERP history: the Y2K crisis accelerated ERP adoption, with U.S. companies spending $100 billion on Y2K fixes according to a Senate report. IDC data put the ERP market at $25.4 billion in total revenue in 2016, projected to reach $33.6 billion by 2021. It contrasts on-premise and public cloud ERP, noting cloud ERP is typically more affordable, updates faster and forces data standardization that underpins AI and machine learning.

  21. SAP Concur Blog

    Your Expense Reports Could Be Writing Themselves. Here's How

    SAP Concur article discusses AI and machine learning in expense management, partnering with The New York Times to explain automated expense reports. It notes AI can reduce manual entry errors by up to 66%, improving accuracy and compliance. For example, Cardinal Health saved up to 10,000 hours per month by automating expense reports. The article emphasizes complementary roles for humans and machines, with AI creating new efficiencies rather than unemployment.