BMC | June 03, 2022
BMC, a global leader in software solutions for the Autonomous Digital Enterprise, introduced the BMC Innovation Labs Preferred Partner Program, a high-touch, a highly collaborative co-innovation program designed for and by BMC partners and clients. The program focuses on ideation and experimentation in order to build and market modern technology solutions that will assist customers in their Autonomous Digital Enterprise journey.
The BMC Innovation Labs Preferred Partner Program was established to give partners dedicated facilities to develop new and disruptive concepts that go beyond traditional enterprise IT. It encourages new ideas and viewpoints, and it employs group ideation through a diverse partner ecosystem to anticipate and respond to customers' requirements more rapidly and efficiently. Customers can also help accelerate the innovation process by engaging with BMC, and its Innovation Labs recommended partners to design, test, and provide real-time feedback on new ideas.
"Working with BMC Innovation Labs is powerful and exciting. It's all about collaboration, agility and creativity, constantly driving the development of innovation solutions that accelerate the business outcomes for our joint customers, and giving them the differentiation they seek. As experts in digital enterprise management solutions, we value the impressive ecosystem that BMC is beginning to assemble. We're excited to extend our 25-year partnership with BMC and bring CyberMAK's industry domain knowledge and technological expertise to the table as we co-innovate on market-changing solutions that will truly move the needle for our customers."
Colin Miranda, CEO at CyberMAK
Digital transformation alters the way businesses function and provide value to their customers. This necessitates firms across all industries challenging the current quo, experimenting, and becoming accustomed to constant iteration. The Innovation Labs were launched by BMC in 2020, with programming originally focusing on co-innovation across industries such as oil and gas, retail, customer service, transportation, and communications service providers. Artificial intelligence, machine learning, the Internet of Things, knowledge analytics, blockchain, and big data automation will all be part of the program.
"BMC has a history of innovation to help our customers continue to transform. Today, we have our eye on the future, and our partners play an important role," said Ram Chakravarti, chief technology officer at BMC. "Our innovation ecosystem aims to bring together some of the industry's brightest minds to design game-changing solutions, test and apply new technologies – and ultimately build aligned technology roadmaps for commercially viable solutions. We are excited to showcase the power of our partnerships to help organizations around the world solve real-world business challenges in their Autonomous Digital Enterprise journey."
Intel | July 13, 2022
Intel has released the first set of open source AI reference kits specifically designed to make AI more accessible to organizations in on-prem, cloud and edge environments. First introduced at Intel Vision, the reference kits include AI model code, end-to-end machine learning pipeline instructions, libraries and Intel oneAPI components for cross-architecture performance. These kits enable data scientists and developers to learn how to deploy AI faster and more easily across healthcare, manufacturing, retail and other industries with higher accuracy, better performance and lower total cost of implementation.
“Innovation thrives in an open, democratized environment. The Intel accelerated open AI software ecosystem including optimized popular frameworks and Intel’s AI tools are built on the foundation of an open, standards-based, unified oneAPI programming model. These reference kits, built with components of Intel’s end-to-end AI software portfolio, will enable millions of developers and data scientists to introduce AI quickly and easily into their applications or boost their existing intelligent solutions.”
–Wei Li, Ph.D., Intel vice president and general manager of AI and Analytics
About AI Reference Kits: AI workloads continue to grow and diversify with use cases in vision, speech, recommender systems and more. Intel’s AI reference kits, built in collaboration with Accenture, are designed to accelerate the adoption of AI across industries. They are open source, pre-built AI with meaningful enterprise contexts for both greenfield AI introduction and strategic changes to existing AI solutions.
Four kits are available for download today:
Utility asset health: As energy consumption continues to grow worldwide, power distribution assets in the field are expected to grow. This predictive analytics model was trained to help utilities deliver higher service reliability. It uses Intel-optimized XGBoost through the Intel® oneAPI Data Analytics Library to model the health of utility poles with 34 attributes and more than 10 million data points1. Data includes asset age, mechanical properties, geospatial data, inspections, manufacturer, prior repair and maintenance history, and outage records. The predictive asset maintenance model continuously learns as new data, like new pole manufacturer, outages and other changes in condition, are provided.
Visual quality control: Quality control (QC) is essential in any manufacturing operation. The challenge with computer vision techniques is that they often require heavy graphics compute power during training and frequent retraining as new products are introduced. The AI Visual QC model was trained using Intel® AI Analytics Toolkit, including Intel® Optimization for PyTorch and Intel® Distribution of OpenVINO™ toolkit, both powered by oneAPI to optimize training and inferencing to be 20% and 55% faster, respectively, compared to stock implementation of Accenture visual quality control kit without Intel optimizations2 for computer vision workloads across CPU, GPU and other accelerator-based architectures. Using computer vision and SqueezeNet classification, the AI Visual QC model used hyperparameter tuning and optimization to detect pharmaceutical pill defects with 95% accuracy.
Customer chatbot: Conversational chatbots have become a critical service to support initiatives across the enterprise. AI models that support conversational chatbot interactions are massive and highly complex. This reference kit includes deep learning natural language processing models for intent classification and named-entity recognition using BERT and PyTorch. Intel® Extension for PyTorch and Intel Distribution of OpenVINO toolkit optimize the model for better performance – 45% faster inferencing compared to stock implementation of Accenture customer chatbot kit without Intel optimizations3 – across heterogeneous architectures, and allow developers to reuse model development code with minimal code changes for training and inferencing.
Intelligent document indexing: Enterprises process and analyze millions of documents every year, and many of the semi-structured and unstructured documents are routed manually. AI can automate the processing and categorizing of these documents for faster routing and lower manual labor costs. Using a support vector classification (SVC) model, this kit was optimized with Intel® Distribution of Modin and Intel® Extension for Scikit-learn powered by oneAPI. These tools improve data pre-processing, training and inferencing times to be 46%, 96% and 60% faster, respectively, compared to stock implementation of Accenture Intelligent document indexing kit without Intel optimizations4 for reviewing and sorting the documents at 65% accuracy.
Why It Matters: Developers are looking to infuse AI into their solutions and the reference kits contribute to that goal. These kits build on and complement Intel’s AI software portfolio of end-to-end tools and framework optimizations. Built on the foundation of the oneAPI open, standards-based, heterogeneous programming model, which delivers performance across multiple types of architectures, these tools help data scientists train models faster and at lower cost by overcoming the limitations of proprietary environments.
What's Next: Over the next year, Intel will release a series of additional open source AI reference kits with trained machine learning and deep learning models to help organizations of all sizes in their digital transformation journey.
Intel is an industry leader, creating world-changing technology that enables global progress and enriches lives. Inspired by Moore’s Law, we continuously work to advance the design and manufacturing of semiconductors to help address our customers’ greatest challenges. By embedding intelligence in the cloud, network, edge and every kind of computing device, we unleash the potential of data to transform business and society for the better.
Botminds AI | July 26, 2022
Botminds AI, today announced the availability of Botminds Document AI platform in the Microsoft Azure Marketplace, an online store providing applications, and services for use on Azure. Botminds' customers can now take advantage of the productive and trusted Azure cloud platform, with streamlined deployment and management.
Botminds is the World's first integrated platform for Document Understanding/Intelligent Document Processing (IDP). Botminds provides AI-powered solutions that read and understand documents, a search engine to query any document, enriched document analytics, and end-to-end document-based process automation. Our customers experience - Improved turn-around-time by 80%, reduced cost by 70% and an improvement in their operational efficiency by 90%, within weeks. Our custom AI models, help organizations transform data into intelligent actionable insights.
"Our aim is to make Botminds AI platform as the de-facto Document AI platform for enterprises in their transition from RPA to a more empowered Intelligent Automation(IA) world," said Gokul Ganapathi, CEO of Botminds. "Making Botminds available in the Microsoft Azure Marketplace is a key step in this mission. From now on, getting started with Botminds AI to automate so far untouched document-centric processes is super simple for enterprises already on Microsoft Azure."
"Through Microsoft Azure Marketplace, customers around the world can easily find, buy, and deploy partner solutions they can trust, all certified and optimized to run on Azure," said Jake Zborowski, General Manager, Microsoft Azure Platform at Microsoft Corp. "We're happy to welcome Botminds AI solution to the growing Azure Marketplace ecosystem."
The Azure Marketplace is an online market for buying and selling cloud solutions certified to run on Azure. The Azure Marketplace helps connect companies seeking innovative, cloud-based solutions with partners who have developed solutions that are ready to use.
About Botminds AI
Founded in 2015, we at Botminds AI chase the research happening at the intersection of Deep Learning & NLP continuously, so you don't have to. We have built our own semantic engine, developed on top of state-of-the-art algorithms/networks. A vertically integrated horizontal platform that has been recognized as the one-stop solution for any document-centric processes and the most user-friendly platform by our clients. We are headquartered in Seattle, WA, USA, with our R&D center in Chennai, India.