This article was written by a human being who click-clacked on a keyboard until she finished a draft and sent it to an editor. But more and more, computers are taking over. In fact, the Associated Press has used "automation technology" to cover college sports since 2015. The idea isn't new--humans have obsessed over artificial intelligence (AI) since at least the 18th century, when the "Mechanical Turk" hoax led many to believe that a machine could play chess against a person and win. About 250 years later, a machine can play chess against a person and win--every time.
IBM (NYSE: IBM) today introduced AI OpenScale, a new technology platform that addresses key challenges of artificial intelligence (AI) adoption, such as concerns over how AI applications make decisions, the global shortage of AI skills and the complexities of working with disparate AI tools from multiple vendors. IBM's new technology platform is the first of its kind. It will enable companies to manage AI transparently throughout the full AI lifecycle, irrespective of where their AI applications were built or in which environment they currently run. AI OpenScale can detect and address bias across the spectrum of AI applications, as those applications are being run. As part of AI OpenScale, IBM also will debut NeuNetS, a major scientific breakthrough in which AI builds AI – making it possible to create complex, deep-neural networks from scratch.
In addition to visual inspection by employees, several small cameras are installed directly in the presses. They evaluate the captured images with the help of image-recognition software. This process will soon be replaced by an ML procedure. Software based on a complex artificial neural network operates in the background of this innovative procedure. The software detects the finest cracks in sheet metal with the utmost precision and reliably marks the spot.
RapidMiner Auto Model is the first application for the RapidMiner AI Cloud and is currently available in beta. RapidMiner Auto Model uses automated machine learning and best practices to build predictive models in 4 clicks. Unlike other automated machine learning products, Auto Model does not generate black box predictive models that cannot be easily explained. With Auto Model, both the model itself and how the model was created are detailed step-by-step and narrated visually. "We're thrilled to announce Auto Model on the RapidMiner AI Cloud," said Lars Bauerle, chief product officer at RapidMiner.
H2O.ai, the open source leader in AI, today announced the latest additions to the speaker lineup for H2O AI World London, a two-day interactive event featuring deep-dive technical sessions, talks on real-world business use cases and hands-on training. With speakers from PwC, Barclays, NVIDIA, IBM, Citi and more, the conference will bring together data scientists, business analysts and executives across multiple industries to discuss the latest trends in artificial intelligence, machine learning and data science, important use cases and the biggest challenges currently facing the industry. Join H2O.ai in London to connect with the community and learn how to harness the full value of AI, ML, deep learning and data science from industry-recognized speakers and hands-on training sessions. Register here to secure your spot. On day one of the conference, sessions will focus on hands-on technical training for H2O.ai's groundbreaking products, H2O Driverless AI, H2O-3 and Sparkling Water, to empower data scientists and analysts of all levels to work on projects faster and more efficiently through automation and state-of-the-art computing power.
NEW YORK--(BUSINESS WIRE)--Oct 4, 2018--Lemonade, the insurance company powered by artificial intelligence and behavioral economics, today announced the appointment of Jorge Espinel as its Chief Business Development Officer, reporting directly to Lemonade CEO and cofounder Daniel Schreiber. Espinel comes to Lemonade from Spotify, where he ran business development worldwide. His main focus at Lemonade will be to grow Lemonade's product offering and reach through strategic partnerships and corporate development initiatives. "For years we've admired how Spotify achieved spectacular growth through innovative partnerships. Few people and few companies have accomplished what Jorge did with Spotify," said Shai Wininger, Lemonade COO and cofounder.
BootstrapLabs, a leading venture capital firm focusing on Applied AI and based in Silicon Valley, announced today the 4th annual Applied Artificial Intelligence Conference will be held in San Francisco on April 18, 2019. The BootstrapLabs Applied Artificial Intelligence Conference (#AAI19) has grown to become one of the top AI events in the U.S. Mentioned in publications such as Forbes, TechCrunch and Fortune, and selected by Business Insider as one of the top 20 AI conferences to attend, the exclusive conference has brought together over 2,000 professionals and is considered by many AI leaders to be the best forum to learn, network and discover the latest Applied AI technologies. The one-day conference will focus on the latest and future impacts of AI applications across a breadth of sectors including Transportation, Logistics, Healthcare, Energy, FinTech, the Future of Work, IoT and Cybersecurity. The conference will take place in downtown San Francisco and will feature keynotes from Artificial Intelligence leaders who will share practical wisdom and methodologies on how to take advantage of AI's powerful potential. Many CTOs, CIOs and AI/ML experts from top tech companies like Facebook, Amazon, Uber, MasterCard, Unity, Airbnb, Linkedin, Intel, Samsung, Tesla, JP Morgan, Comcast, Microsoft, IBM, Walmart and many others, including top AI founders and government officials, have been participating during past conference editions.
At Thomson Reuters Text Metadata Services group, we are leading the industry in AI machine learning based metadata products, focusing on NLP and knowledge-graph solutions. Our products organize Thomson Reuters' and Clients own, unstructured content feeding customers with significant insights extracted programmatically from narrative text. We are looking for a talented and experienced Senior Big Data Engineer to add significant capability to our products, Thomson Reuters Intelligent Tagging (TRIT) and Knowledge Graph (TRKG). This position is full time and based at our Singapore office. This role sits within our Financial & Risk ("F&R") business.
Octopai, the leader in metadata management automation for BI, has been recognized in Gartner's September 2018 "Cool Vendors in Data Science and Machine Learning" report by analysts Peter Krensky, Svetlana Sicular, Jim Hare, Erick Brethenoux and Austin Kronz, as one of 5 Cool Vendors According to Gartner, "Data and analytics leaders should engage with vendors in areas such as data management, unstructured data analysis and model operationalization." "We are very honored to be named a Gartner Cool Vendor for 2018," said Amnon Drori, Co-founder and CEO of Octopai. "The growing complexity of data management environments has created a need for modern and disruptive metadata management automation tools. We believe Octopai's inclusion in the Gartner report highlights this need." According to the report, "as citizen data science, enabled by augmented analytics, dramatically increases the volume of models created, discipline in data management and operationalization becomes even more critical."
This release contains "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E the Securities Exchange Act of 1934, as amended and such forward-looking statements are made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. Statements in this news release other than statements of historical fact are "forward-looking statements" that are based on current expectations and assumptions. Forward-looking statements involve risks and uncertainties that could cause actual results to differ materially from those expressed or implied by the statements, including, but not limited to, the following: the ability of On the Move Systems to provide for its obligations, to provide working capital needs from operating revenues, to obtain additional financing needed for any future acquisitions, to meet competitive challenges and technological changes, and other risks. On the Move Systems undertakes no duty to update any forward-looking statement(s) and/or to confirm the statement(s) to actual results or changes in On the Move Systems expectations.