Artificial Intelligence
TigerGraph Unveils Complete Agenda for Graph + AI World 2020, First Open Conference on Accelerating AI with Graph
REDWOOD CITY, Calif., Sept. 17, 2020 (GLOBE NEWSWIRE) — TigerGraph, the only scalable graph database for the enterprise, today announced the final agenda and speaker lineup for Graph + AI World 2020, the first industry conference devoted to democratizing and accelerating AI and machine learning through graph algorithms and graph analytics. More than 3,000 people are expected to attend the free virtual event, including data scientists, data engineers, architects, business and IT executives from more than 100 companies from the Fortune 500. The final roster includes speakers from UnitedHealth Group, Intel, JPMorgan Chase, Jaguar Land Rover, Intuit, AT&T, Xandr (part of AT&T), Scotiabank, Accenture, KPMG, Publicis Sapient, Xilinx, and innovative startups including Near, Ippen Digital, OpenCorporates, Expero, Abhay Solutions, SaH Analytics International, CAS, FinTell Inc. and Landing.AI.
AI is the new electricity – something we use and rely on every day. We use the PageRank algorithm for every web search, and we depend on community detection algorithms to detect fraud and money laundering rings. Meanwhile, similarity matching algorithms identify healthcare patients who need urgent help or customers in financial services, retail and eCommerce who are ready to buy.
Graph algorithms are the driving force behind the next generation of AI and machine learning that will power multiple industries and use cases. TigerGraph has organized Graph + AI World to democratize the use of graph with AI and machine learning. The event will showcase new deployments and first-of-a-kind solutions, including next-generation recommendation engines, fraud and anomaly detection and knowledge graphs powering more intelligent conversational AI with natural language processing (NLP) and chatbots.
Join data scientists, engineers, architects, IT professionals and business leaders at Graph + AI World 2020 for lively keynotes, business and technology tracks, hands-on workshops, real-world graph and AI use case presentations, training workshops, certification opportunities and more.
Session highlights at-a-glance include:
- Keynote featuring the world’s largest healthcare graph combined with AI to serve 50 million patients
- Keynote featuring acceleration of automotive supply chain planning for Jaguar Land Rover from 3 weeks to 45 minutes with graph analytics
- Session on how to triple the performance of your fraud and anomaly detection with graph + AI
- Exec roundtables focused on banking, financial services, media and entertainment to discuss industry best practices for accelerating AI with graph
- Session focused on hardware-accelerated machine learning solution combining graph database with FPGA (Field Programmable Gate Array) to find similar customers based on 200 features among millions in 25 milliseconds
- Session focused on building the next-generation entity resolution, recommendation engine, fraud and anomaly detection with PageRank, community detection, similarity matching, clustering and Graph Convolutional Network (GCN)
Graph + AI World will feature keynotes by thought leaders from the most innovative Fortune 500 companies, including:
- UnitedHealth Group has developed the largest graph database in the healthcare industry as a system to link, analyze, and make real-time care path recommendations for 50 million patients. The session will cover the business drivers for using graph analytics and lessons learned from deploying graph. Speaker: Ed Sverdlin, VP, Advanced Technology Collaborative and R&D, UnitedHealth Group
- The automotive supply chain is one of the most complex and global in the world, with the average car being made up of around 4,500 parts from a supply base of 30,000 individual parts, produced by hundreds of suppliers, relying on forecasts issued years in advance. This session will cover how by using graph, Jaguar Land Rover has reduced query times across its complex supply chain model from 3 weeks to 45 minutes, allowing them to accurately plan and rapidly pivot in response to supply and demand uncertainties around the COVID-19 pandemic. Speaker: Harry Powell, Director, Data & Analytics, Jaguar Land Rover
- Dr. Jay Yu, Distinguished Engineer & Architect, Intuit will present a keynote session featuring the use of a knowledge graph as the foundational technology for an AI-driven expert platform.
Learn from business case studies focused on compelling use cases as well as executive and data science roundtables:
- “Graph-Based Identity Resolution at Scale” – Xandr (part of AT&T) case study: One of the main drivers of AT&T, WarnerMedia, and Xandr’s success story has been combining their data assets to provide targeted, personalized product offerings for customers. To this end, Xandr has built a multi-node, high-availability TigerGraph cluster to consolidate a vast amount of data, which includes billions of identifiers stored in an identity graph.
- “How to Build an AI-Based Customer 360 Platform” – Intuit case study: This session includes design principles and patterns for building a Customer360 platform for the AI needs of the enterprise.
- “Executive Roundtable – Realigning Business and Tech Priorities for COVID-19 Pandemic and Digital Transformation”: The COVID-19 pandemic has disrupted the business and technology priorities for all organizations. Join us to learn how leaders are adapting to this unprecedented challenge by leveraging graph, advanced analytics and AI. Participants: UnitedHealth Group, Jaguar Land Rover and SaH Analytics International
- “Executive Roundtable – Transforming Media & Entertainment With Graph + AI”: Graph databases are used to identify, link and merge duplicate customer entities and for building insightful 360-degree views of customers. This typically leads to higher revenues as a consequence of more precise and effective product and service recommendations. Join executives from AT&T and Ippen Digital to hear how graph and AI are transforming media and entertainment.
- “Executive Roundtable – Transforming Financial Services With Graph + AI”: Financial services organizations are competing in a time of unprecedented change. The most innovative businesses are embracing graph analytics as a way to increase profits, improve customer satisfaction, and find and stop fraud and financial crimes. In this session, executives from Intuit, JPMorgan Chase and OpenCorporates will discuss how graph and artificial intelligence are changing the financial services industry in ways that would have been unimaginable a decade ago.
- “Data Scientist Panel: Transforming Data Science with Graph + AI” – An open discussion on what graph database, analytics, and AI can do for a data scientist in terms of new capabilities as well as use cases and the augmentation of existing use cases. Join executives from Optum (part of UnitedHealth Group) and Xandr for this interactive session.
- “The Future of Graph Query Languages: The GQL and SQL/PGQ Standards”: Join thought leaders from the ISO standards committee, including executives from RedisGraph, data.world, Optum, and TigerGraph, as they discuss the progress toward two forthcoming property graph standards that will deliver cross-vendor compatibility and exciting new capabilities for graph users.
Participate in sessions from leading technology providers and system integrators:
- “Supply Chain & Logistics Management with Graph DB & AI” – Publicis Sapient session: Manufacturers face great challenges tracking enormous numbers of parts, components and materials from multiple globally distributed vendors. By leveraging Graph DB technology and predictive analytics, these companies can optimize production planning to ensure parts availability, minimize quality fallouts and improve overall assembly and delivery.
- “The Key to Creating a Golden Thread: The Power of Graph Databases for Entity Resolution” – Accenture session: Entity Resolution is an important concept in big data and is the root of every successful knowledge graph. What is entity resolution, why is it such a powerful thing for every business to get right or wrong, and how is graph so well positioned to do it right? This is an introduction to entity resolution, one of the most popular use cases addressed with a graph database.
- “Fast Parallel Similarity Calculations with FPGA Hardware” – Joint session by Optum and Xilinx: The foundation of recommendation is finding similar customers and their purchasing patterns. Yet, if you have 100 million customers it can take hours to do similarity calculations on just 200 features. Join experts from Optum and Xilinx to see how these calculations can be done in parallel, and how using an FPGA allows these calculations to be done in under 30 milliseconds.
- “Hardware-Accelerated Machine Learning Solution for Detecting Fraud and Money Laundering Rings” – Xilinx session: How can you find fraud and money laundering rings faster? One answer: Combining FPGA with graph database and analytics to accelerate the Louvain community detection algorithm. Join executives from Xilinx and TigerGraph for this discussion.
Sharpen your graph and AI skills in a workshop or work toward certification:
- Graph Algorithms, Analytics, AI and Machine Learning training and certification workshops on Sept. 28 (pre-conference training and certification day):
– Introduction to Graph Algorithms for Machine Learning Certification
– Hands-on Workshop: Accelerating Machine Learning with Graph Algorithms
– Business User Workshop – Designing Advanced Analytics Patterns with No-Code GUI
– Building Business User GUI with Streamlit Visualization Platform
– Ramping Up on Knowledge Graphs with Graph and AI
– Best Practices in Enterprise Architecture Patterns for Graph + AI and Graph Query Writing
To register for Graph + AI World 2020: https://www.tigergraph.com/graphaiworld/
Helpful Links
About TigerGraph
TigerGraph is the only scalable graph database for the enterprise. TigerGraph’s proven technology connects data silos for deeper, wider and operational analytics at scale. Four out of the top five global banks use TigerGraph for real-time fraud detection. Over 50 million patients receive care path recommendations to assist them on their wellness journey. 300 million consumers receive personalized offers with recommendation engines powered by TigerGraph. The energy infrastructure for 1 billion people is optimized by TigerGraph for reducing power outages. TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI, and machine learning. The company is headquartered in Redwood City, California, USA. Follow TigerGraph on Twitter at @TigerGraphDB or start free at tigergraph.com/cloud.
Media Contact
Cathy Wright
Offleash PR for TigerGraph
[email protected]
650-678-1905
Artificial Intelligence
LG STRENGTHENS EUROPEAN PRESENCE WITH ITS KITCHEN SOLUTIONS SHOWCASE AT MDW 2024
Featuring Advanced AI Technologies and Sleek Design, Company’s Expanded Lineup of Built-in Appliances Brings Outstanding Convenience and Style to the Kitchen
SEOUL, South Korea, April 18, 2024 /PRNewswire/ — LG Electronics (LG) is unveiling its latest built-in kitchen appliances at Milan Design Week (MDW) 2024, taking place in Milan, Italy, from April 16-21. At the center of LG’s Milan showcase are the brand-new Signature Kitchen Suite built-in oven, free zone induction hob, and downdraft hood. Boasting innovative, premium design and highly-convenient features, the company’s refined built-in solutions bring exceptional ease-of-use and effortless elegance to the kitchen.
Signature Kitchen Suite Built-in Oven with Advanced Cooking Technologies
Debuting at MDW 2024 and designed with European consumers in mind, the Signature Kitchen Suite 60-centimeter (24-inch) built-in oven offers a variety of cutting-edge features and AI technologies to elevate the culinary experience. Equipped with Gourmet AI™️, the oven can identify what the user is cooking and automatically select the appropriate cooking mode from 130 recipes. Gourmet AI also enables ‘browning’ control for foods such as pizza and steak, actively keeping tabs on the cooking process and notifying users via the ThinQ™️ app as soon as their food is done. Thanks to video-recognition, LG’s intelligent oven can suggest the optimal settings for the dish being prepared, while real-time video monitoring and time-lapse recording make it easy to check on the progress of one’s meal using the ThinQ app.
Employing enhanced ProBake powered by inverter technology, the new oven delivers uniform heat and fast, efficient cooking with an A++ energy rating. LG’s innovative technology rotates the convection fan back and forth to ensure shorter preheating times, even heating, and crispier results when using the oven’s Air Fry mode. The company’s unique InstaView™️ technology further enhances user convenience, making it possible to see inside simply by knocking twice on the oven door.
Free Zone Induction Hob for Convenient and Flexible Cooking
The Signature Kitchen Suite’s 90-centimeter (36-inch) free zone induction hob presents next-level flexibility and ease-of-use, allowing users to place any size and type of cookware – such as Paella pans and moka pots – anywhere on its cooking surface.* The new appliance can detect and track the position of cookware, eliminating the need to manually cancel and reapply settings when moving a saucepan or skillet from one part of the cooking surface to another. What’s more, the AI technology embedded in the hob can detect the temperature of cookware and automatically lower the heat when necessary, helping to minimize spills and splatter when boiling water or preparing soups and sauces.
Expanded Built-in Lineups for Diverse Kitchen Lifestyles
LG is further bolstering its built-in product lineup with the introduction of the new Signature Kitchen Suite downdraft hood. Made to integrate seamlessly into islands and countertops, the 90-centimeter (36-inch) hood offers a sleek, sophisticated look with its chic black glass and modern frame design. It also provides powerful ventilation, effectively extracting steam and odors for a more pleasant cooking experience.
Additionally, LG has expanded its portfolio of built-in appliances for the European market. Along with new products, such as an 80-centimeter (30-inch) induction hob and built-in combi refrigerators and microwave ovens, the company now provides a wider range of options within its oven lineups – from more product variation to a greater choice of colors and sizes. Among the new models are the Signature Kitchen Suite 122 centimeter (48 inch)-wide French-door refrigerator and stunning appliances from the Transitional lineup, featuring slim handles and satin stainless steel exteriors with a velvety matte finish. To help customers create a curated kitchen aesthetic, the company offers an array of new finishes for its premium built-in products, with black stainless steel and stainless steel joining the previously-introduced black glass finish.
“We are thrilled to showcase our latest built-in innovations at this year’s Milan Design Week, demonstrating our commitment to leading new design trends and meeting the diverse needs of European customers,” said Lyu Jae-cheol, president of LG Electronics Home Appliance & Air Solution Company. “LG will continue to strengthen its presence in Europe through an expanded range of built-in appliances delivering style, performance and convenience in the kitchen.”
Visitors to MDW 2024 in Milan from April 16-21 can experience LG’s latest built-in lineups at the LG booth at Milan Fairgrounds.
* Cookware recognition may vary depending on the size or number of items placed on the surface.
About LG Electronics Home Appliance & Air Solution Company
The LG Home Appliance & Air Solution Company is a global leader in home appliances, air solutions as well as smart home solutions featuring LG ThinQ. The company is creating various solutions with its industry leading core technologies and is committed to making life better and sustainable for consumers and the planet by developing thoughtfully designed kitchen appliances, living appliances, HVAC and air purification solutions. Together, these products deliver enhanced convenience, superb performance, efficient operation and sustainable lifestyle solutions. For more news on LG, visit www.LGnewsroom.com.
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Artificial Intelligence
DataTracks Celebrates Completion of 19 Years
SINGAPORE, April 18, 2024 /PRNewswire/ — DataTracks, a provider of cloud-based software to automate/generate compliance reports for filing with financial/security regulators to more than 28,000 business enterprises in 26 countries, celebrates the completion of 19 years of service and innovation. Founded with a vision to make regulatory compliance “accurate, reliable, timely, and easy”, DataTracks has grown into a leading name in the industry, worldwide with cutting edge software that incorporates “artificial intelligence” aided features to reduce “time to prepare” and improve “accuracy”.
Decades of Dedication and Expertise
Over nearly two decades, DataTracks has achieved significant growth, with its software delivering more than 400,000 reports, showcasing its pivotal role in regulatory reporting. The software and service address regulations across diverse jurisdictions, including SEC in the USA, HMRC and FCA in the UK, Revenue in Ireland, CIPC in South Africa, ACRA in Singapore, MCA in India, SSM in Malaysia and ESMA, EBA, and EIOPA in Europe.
DataTracks distinguishes itself in the industry
(a) with its global footprint (preferred by business enterprises whose regulatory obligations are spread across multiple jurisdictions)
(b) with its state-of-the art software that incorporates “AI/ML” features and
(c) with its credentials for information security (including ISO 9001:2015 and ISO 27001:2013 certifications)
Addressing the employees and spouses in a town hall meeting to celebrate the event, Vinod P John, President of DataTracks said: “We are happy to start our 20th year in the industry. I have to thank the 28,000 clients who trust us and the several hundred employees who developed our software and who helped customers (and our internal team) prepare compliance reports for reaching this milestone. We’ve always believed in leveraging technology to make regulatory compliance as easy, quick, timely, and accurate as possible for our clients. Our continuous investment in AI and machine learning is a testament to this belief, and it’s what keeps us at the forefront of the industry.”
Looking ahead, DataTracks is ready to address upcoming mandates such as the DATA Act and FTA in the US as well as the MBRS/XBRL mandate by SSM in Malaysia.
About DataTracks
DataTracks is a Singapore-based globally renowned leader in providing cloud-based regulatory compliance software for self-use and “black box services” using the same software, catering to 28,000 clients across 26 countries. In 19 years DataTracks has helped its client enterprises prepare more than 400,000 compliance reports for filing with financial/security regulators in several jurisdictions. Financial analysts have rated the quality of reports generated using DataTracks as top of industry for quality; significantly above that of several of its competitors. For further information, visit www.datatracks.com.
For Business Enquiries: Email: [email protected]; Phone: Singapore: +6531582850, US: +1(646)9048324, UK: +44(0)2036088035
Media Contact: [email protected]
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Artificial Intelligence
SAS advances industry solutions with packaged AI models
Tailored, lightweight AI models facilitate rapid deployment with low overhead
LAS VEGAS, April 17, 2024 /PRNewswire/ — SAS INNOVATE — Today at SAS Innovate, SAS – a pioneer in data and AI solutions – unveiled a game-changing approach for organizations to tackle business challenges head-on. Introducing lightweight, industry-specific AI models for individual license, SAS is equipping organizations with readily deployable AI technology to productionize real-world use cases with unparalleled efficiency.
AI software provider SAS is uniquely positioned to flex its decades of expertise in applying scalable and trustworthy AI models for prominent global financial, health care, and manufacturing brands, as well as government institutions.
“SAS is evolving its portfolio to meet wider user needs and capture market share with innovative new offerings,” said Chandana Gopal, Research Director, Future of Intelligence, IDC. “An area that is ripe for SAS is productizing models built on SAS’ core assets, talent and IP from its wealth of experience working with customers to solve industry problems.”
In today’s market, the consumption of models is primarily focused on large language models (LLMs) for generative AI. In reality, LLMs are a very small part of the modeling needs of real-world production deployments of AI and decision making for businesses. With the new offering, SAS is moving beyond LLMs and delivering industry-proven deterministic AI models for industries that span use cases such as fraud detection, supply chain optimization, entity management, document conversation and health care payment integrity and more.
Unlike traditional AI implementations that can be cumbersome and time-consuming, SAS’ industry-specific models are engineered for quick integration, enabling organizations to operationalize trustworthy AI technology and accelerate the realization of tangible benefits and trusted results.
Expanding market footprintOrganizations are facing pressure to compete effectively and are looking to AI to gain an edge. At the same time, staffing data science teams has never been more challenging due to AI skills shortages. Consequently, businesses are demanding agility in using AI to solve problems and require flexible AI solutions to quickly drive business outcomes. SAS’ easy-to-use, yet powerful models tuned for the enterprise enable organizations to benefit from a half-century of SAS’ leadership across industries.
Delivering industry models as packaged offerings is one outcome of SAS’ commitment of $1 billion to AI-powered industry solutions. As outlined in the May 2023 announcement, the investment in AI builds on SAS’ decades long focus on providing packaged solutions to address industry challenges in banking, government, health care and more.
“Models are the perfect complement to our existing solutions and SAS Viya platform offerings and cater to diverse business needs across various audiences, ensuring that innovation reaches every corner of our ecosystem,” said Udo Sglavo, Vice President for AI and Analytics, SAS. “By tailoring our approach to understanding specific industry needs, our frameworks empower businesses to flourish in their distinctive environments.”
Bringing AI to the massesSAS is democratizing AI by offering out-of-the-box, lightweight AI models – making AI accessible regardless of skill set – starting with an AI assistant for warehouse space optimization. Leveraging technology like large language models, these assistants cater to nontechnical users, translating interactions into optimized workflows seamlessly and aiding in faster planning decisions.
“SAS Models provide organizations with flexible, timely and accessible AI that aligns with industry challenges,” said Sglavo. “Whether you’re embarking on your AI journey or seeking to accelerate the expansion of AI across your enterprise, SAS offers unparalleled depth and breadth in addressing your business’s unique needs.”
The first SAS Models are expected to be generally available later this year. Learn more about SAS Applied AI and Modeling here: https://blogs.sas.com/content/tag/applied-ai-modeling/.
Today’s announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users and SAS Partners. Keep up with the latest news from SAS by following @SASsoftwareNews on X/Twitter.
About SASSAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved.
Editorial Contact:Jennifer [email protected] 202-210-4180 sas.com/news
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