form recognizer
Artificial Intelligence At Chevron - AI Summary
However, a separate company document does mention investments in 5 startups that use data analytics, computer vision, natural language processing, and machine learning technologies. We will begin by taking a closer look at Chevron's partnership with Microsoft in leveraging AI capabilities to streamline workflows in extracting data from drilling and completion reports. We will begin by taking a closer look at Chevron's partnership with Microsoft in leveraging AI capabilities to streamline workflows in extracting data from drilling and completion reports. Microsoft states that this process was error-prone and suffered from being unable to take advantage of valuable data that rig managers could use to improve their drilling performance and decision-making abilities. Microsoft implemented its document processing solution, Form Recognizer, to achieve Chevron Canada's goal of more efficient, insight-driven data extraction.
Artificial Intelligence at Chevron
Nick DeNittis writes and edits AI industry trends and use-cases for Emerj's editorial and client content. Nick holds an MS in Management from Troy University and has earned several professional analytics certificates, including from the Wharton School. Chevron is the second largest producer of oil in the United States (Exxon Mobil). The company is traded on the NYSE (symbol: CVX) and has a market capitalization of approximately $322 billion. In its 2021 annual report, the company reported approximately $15.6 billion in net income on $155.6 billion in revenue.
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Azure Applied AI Services
Each year, Microsoft Build is like Christmas for developers, especially those focused on the Microsoft stack. It's when they make the most exciting announcements, release the best new software, and start to solidify the roadmap of innovation for the next year. While we don't get to enjoy the conference in person this year, we do get the same great collection of announcements. This year's highlight for engineers and developers interested in machine learning is the Azure Applied AI Services. Microsoft has been Democratizing AI since 2016. Applied AI Services takes this ideal another step forward. Microsoft has already made machine learning accessible to developers through their outstanding Cognitive Services, and this offering will make certain scenarios even more accessible.
microsoft/knowledge-extraction-recipes-forms
Retrieving information from documents and forms has long been a challenge, and even now at the time of writing, organisations are still handling significant amounts of paper forms that need to be scanned, classified and mined for specific information to enable downstream automation and efficiencies. Automating this extraction and applying intelligence is in fact a fundamental step toward digital transformation that organisations are still struggling to solve in an efficient and scalable manner. An example could be a bank that receives hundreds of kilograms of very diverse remittance forms a day that need to be processed manually by people in order to extract a few key fields. Or medicinal prescriptions need to be automated to extract the prescribed medication and quantity. Typically organisations will have built text mining and search solutions which are often tailored for a scenario, with baked in application logic, resulting in an often brittle solution that is difficult and expensive to maintain.
Azure AI: Build mission-critical AI apps with new Cognitive Services capabilities
As the world adjusts to new ways of working and staying connected, we remain committed to providing Azure AI solutions to help organizations invent with purpose. Building on our vision to empower all developers to use AI to achieve more, today we're excited to announce expanded capabilities within Azure Cognitive Services, including:. Companies in healthcare, insurance, sustainable farming, and other fields continue to choose Azure AI to build and deploy AI applications to transform their businesses. According to IDC1, by 2022, 75 percent of enterprises will deploy AI-based solutions to improve operational efficiencies and deliver enhanced customer experiences. To meet this growing demand, today's product updates expand on existing language, vision, and speech capabilities in Azure Cognitive Services to help developers build mission-critical AI apps that enable richer insights, save time and reduce costs, and improve customer engagement.
Making AI real for every developer and every organization
AI is fueling the next wave of transformative innovations that will change the world. With Azure AI, our goal is to empower organizations to apply AI across the spectrum of their business to engage customers, empower employees, optimize operations and transform products. These guiding principles enable us to fulfill our mission of empowering every developer and every organization to harness the potential of AI. With research centers that span the globe, from Redmond to Shanghai, we continue to achieve industry breakthroughs in areas such as vision, speech, language, advanced machine learning techniques, and specialized AI hardware. These innovations are now key components of several of our flagship products, like Office 365, Xbox, Bing and Dynamics 365.
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Azure Cognitive Services for building enterprise ready scalable AI solutions
This post is co-authored by Tina Coll, Senior Product Marketing Manager, Azure Cognitive Services and Anny Dow, Product Marketing Manager, Azure Cognitive Services. Azure Cognitive Services brings artificial intelligence (AI) within reach of every developer without requiring machine learning expertise. All it takes is an API call to embed the ability to see, hear, speak, understand, and accelerate decision-making into your apps. Enterprises have taken these pre-built and custom AI capabilities to deliver more engaging and personalized intelligent experiences. We're continuing the momentum from Microsoft Build 2019 by making Personalizer generally available, and introducing additional advanced capabilities in Vision, Speech, and Language categories.
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Beyond the printed form: Unlocking insights from documents with Form Recognizer
Data extraction from printed forms is by now a tried and true technology. Form Recognizer extracts key value pairs, tables and text from documents such as W2 tax statements, oil and gas drilling well reports, completion reports, invoices, and purchase orders. However, real-world businesses often rely on a variety of documents for their day-to-day needs that are not always cleanly printed. We are excited to announce the addition of handwritten and mixed-mode (printed and handwritten) support. Starting now, handling handwritten and mixed-mode forms is the new norm.
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