GENERAL AI

Deci Launches Version 2.0 of its Deep Learning Development Platform, to Democratize the Power of NAS and Eliminate the AI Efficiency Gap

Deci | May 13, 2022

Deci
Deci, the deep learning company harnessing AI to build AI, today launched Version 2.0 of its deep learning development platform, making it easier than ever before for AI developers to build, optimize, and deploy computer vision models on any hardware and environment including cloud, edge and mobile with outstanding accuracy and runtime performance.

AI developers face an uphill struggle developing production-ready deep learning models for deployment. These challenges can be largely attributed to the AI efficiency gap facing the industry in which algorithms are growing more powerful and complex, but available compute power is not keeping pace. This gap also creates financial barriers by making the deep learning development and processing more cumbersome and expensive.

While Neural Architecture Search (NAS) has been presented as a potential solution to automate the design of superior artificial neural networks that can outperform manually-designed architectures, the resource requirements to operate such technology is excessive. To date, NAS has only been successfully implemented by tech giants like Google, Microsoft and in the confines of academia, proving its impracticality for the vast majority of developers.

In order to solve this problem, Deci’s platform, powered by its proprietary NAS engine called AutoNAC (Automated Neural Architecture Construction), enables AI developers to automatically and affordably build efficient computer vision models that deliver the highest accuracy for any given inference hardware, speed, size and targets. Models generated by Deci outperform other known state-of-the-art (SOTA) architectures by a factor of 3x-10x.

Developers can start their projects with pre-trained and optimized models (DeciNets) that were generated by the AutoNAC engine for a wide range of hardware and computer vision tasks or use the AutoNAC engine to generate more custom architectures that are tailored for their specific use-cases. In addition, the platform supports teams with a wide range of tools required to develop deep learning-based applications including a hardware-aware model zoo to easily select and benchmark models and hardware, SuperGradients - an open source training library with proven recipes for faster training, automated runtime optimizations, model packaging and more.

By using Deci’s platform, AI developers achieve improved inference performance and efficiency to enable deployment on resource constrained edge devices, maximize hardware utilization and reduce training and inference cost. The entire development cycle is shortened and the uncertainty of how the model will deploy on the inference hardware is eliminated.

“The new version of Deci’s deep learning platform makes hardware-aware NAS technology accessible to AI teams of any size, helping them eliminate complexities and focus on what they do best - build innovative computer vision applications. We take pride in the fact that the deep learning models generated by Deci's platform are powering AI-based applications of some of the leading enterprises worldwide. We are excited to unleash this powerful engine to help make computer vision even more widely available. Only then can we truly achieve a world where AI advances humanity without limitations, finally making AI affordable, accessible and scalable for all.”

Yonatan Geifman, co-founder and CEO of Deci

With Deci’s Version 2.0 platform, AI developers can:
  • Easily benchmark models and inference hardware: With Deci’s hardware-aware model zoo, developers can quickly measure inference time of pre-trained and optimized models on and various hardware including edge devices via Deci’s SaaS platform. Simplify the hardware and model selection process by eliminating the need to manually setup and test various combinations of models and hardware.
  • Generate Tailored SOTA CNN Architectures: Automatically find accurate & efficient architectures tailored for the application, hardware and performance targets with Deci’s AutoNAC engine.
  • Simplify Training with SuperGradients: Leverage proven hyperparameter recipes and with Deci’s PyTorch based open source training library called SuperGradients.
  • Automated Runtime Optimization: Automatically compile and quantize your models and evaluate different production settings.
  • Deploy with a Few Lines of Code: Developers can deploy their deep learning workloads on any environment with the Deci’s python based inference engine.

Deci’s platform includes three tiers:
  • Free Community Tier: For data scientists and ML engineers looking to find the best models, simplify hardware evaluation and boost runtime performance.
  • Professional Tier: For deep learning teams looking to quickly achieve production grade inference performance and shorten development time.
  • Enterprise Tier: For deep learning experts looking to meet specific performance goals for highly customized use cases.

About Deci
Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company's deep learning development platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment including cloud, edge, and mobile, allowing them to revolutionize industries with innovative products. The platform is powered by Deci's proprietary automated Neural Architecture Construction technology (AutoNAC), which automatically generates and optimizes deep learning models' architecture and allows teams to accelerate inference performance, enable new use cases on limited hardware, shorten development cycles and reduce computing costs. Founded by Yonatan Geifman, Jonathan Elial, and Professor Ran El-Yaniv, Deci's team of deep learning engineers and scientists are dedicated to eliminating production-related bottlenecks across the AI lifecycle.

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AI TECH,GENERAL AI,AI APPLICATIONS

Henderson Engineers and Torch.AI Test New AI for Building Systems Design

Torch.AI | September 06, 2022

Torch.AI, pioneers of Data Infrastructure AI™, is testing a new artificial intelligence application with Henderson Engineers, a national building systems design firm, to unlock the creative and problem solving potential of the firm's more than 1,000 employees. Henderson, one of the world's most prominent and successful building systems design and engineering firms, works on projects across the business, community, health, retail, and venue sectors, including many high-profile projects, such as SoFi Stadium, host site for the 2022 Super Bowl. The construction & engineering industry is known for sophisticated projects spanning huge supplier networks, strict building design standards, detailed job planning efforts, and tight margins. The industry relies on highly complex information contained in equally complex unstructured data: drawings, images, PDFs, handwriting, raw text. Earlier this year, Henderson began testing new artificial intelligence from Torch.AI that could learn to read complex construction and engineering documents and diagrams. Past construction & engineering data sets were used to quickly train the AI with more than 340 million parameters and growing, which in turn creates new opportunities for automation and data sharing. The Torch.AI system has already read roughly 100,000 engineering drawings with remarkable accuracy. In one example, in less than one second the AI is able to identify, extract, and compare diagrams from 40+ page project files with an average accuracy of 98.9%. Torch.AI's software helps unlock human potential by removing impediments to creativity and problem solving, namely mundane tasks created by the explosion of enterprise data and ever-increasing gaps in technology. The software begins by instantly figuring out what the data is and how it can be useful, then applies advanced machine learning to automate the steps necessary to deliver new insights and support decisions; all without human intervention. "When Kevin Lewis, Henderson's CEO, and I got together to first discuss the partnership, I could tell they were already thinking way ahead of everyone else. "As an engineering firm they are meticulous, thoughtful, strategic. We quickly saw the potential impact these new AI systems could have for their amazingly talented teams and are excited to continue growing our relationship." Brian Weaver, Chairman and CEO of Torch.AI About Torch.AI Torch.AI, the Data Infrastructure AI™ Pioneers, are headquartered in Kansas City with offices in Washington, DC. The company developed the use of AI to process data in-flight, radically evolving analytic and operational capabilities in any IT environment. Torch.AI's products and people are currently actively supporting operations in industries including financial services & insurance, construction and engineering, healthcare, and the US Department of Defense, US Department of Homeland Security, and other agencies. About Henderson Engineers Henderson Engineers provides a wide array of building system design engineering services across a variety of building types, specializing in five market sectors: Business, Community, Health, Retail, and Venue. Their sister company, Henderson Building Solutions, is a turnkey construction management and commissioning services firm that provides a seamless bridge between design, construction, and ongoing maintenance. Together as Henderson Companies, they provide single source solutions for any project.

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AI TECH,SOFTWARE,FUTURE TECH

SugarCRM Recognized as a Best Enterprise CRM Software and Solution for the Second Year Running in the 2022 CRM Industry Leader Awards

SugarCRM | September 07, 2022

SugarCRM, today announced that it has been recognized as a Best Enterprise CRM Software and Solution for the second year running in the 21st annual CRM Industry Leader Awards program honoring the best CRM solutions and innovators. Sugar also was named a winner in the Best Sales Force Automation Software and Solution and Best CRM for Midsize and Small Businesses categories. CRM magazine’s September 2022 issue provides an overview of the top five solution winners in each category. The CRM Industry Leader Awards honor the leading providers in 11 categories pointing the way forward with the best products and capabilities hitting the market in customer service, marketing, and sales. Each year, CRM magazine’s panel of expert analysts and consultants are asked: If you had to recommend a CRM solution to a loyal client, which would you choose, and why? SugarCRM’s award-winning achievements include: Best Enterprise CRM Software and Solution: Sugar Enterprise is ideal for companies that require comprehensive CRM capabilities in an on-premises solution for maximum control that also supports any level of tailoring to fit business needs. In CRM’s editorial, Marshall Lager, Independent CRM Industry Analyst and Consultant, says “Flexibility and adaptability are how Sugar fought its way into the large enterprise game, and it still possesses these qualities.” In addition, Rebecca Wettemann, Founder and CEO of Valoir, agrees, saying “Sugar has arguably operationalized its [AI] technology better than any other major vendor and really does let the platform do the work.” Best CRM for Midsize and Small Businesses: Sugar has deep roots in addressing the unique needs of midmarket companies thanks to its emphasis on low-code, no-code platform capabilities that make it easy for small and medium businesses to build and customize sales, marketing, and service workflows. Wettemann calls Sugar “an attractive option” for midmarket customers, and Lager says: “The same things that make Sugar a good fit for larger enterprises shine even brighter down market,” adding that Sugar “has done well in embracing the idea of the platform, with coordinated apps and a wealth of integrations.” Best Sales Force Automation Software and Solution: According to CRM’s panel of expert analysts and consultants, Sugar Sell is hailed as the hands-down favorite among companies looking for lower-cost alternatives that don’t lock them into long-term deals. Jim Dickie, Research Fellow at Sales Mastery, says, “For companies looking to tailor an SFA system to their unique needs, Sugar Sell offers a high degree of customization.” In addition, Kate Leggett, Vice President and Principal Analyst at Forrester Research, applauds Sugar Sell for “providing consistent, easy-to-use experiences for sales teams.” “It’s a great honor to once again be named a CRM Industry Leader by CRM’s distinguished panel of expert analysts and consultants. “Sugar is the choice of businesses, both large and midsize, desiring an AI-fueled and data-driven CRM platform that unites sales, marketing, and service to support business growth.” Craig Charlton, Chief Executive Officer, SugarCRM Sugar is at the forefront of harnessing artificial intelligence (AI), machine learning (ML), and predictive analytics to make the hard things easier for sales, marketing, and service teams by letting the platform do the work. Sugar has made significant investments to bring the SugarPredict AI engine to its entire platform portfolio, pioneering pre-configured, out-of-the-box AI for all that drives value from Day One. At the same time, its no-code, low-code tools and capabilities put change in the hands of non-technical business users. About SugarCRM SugarCRM is how marketing, sales, and service teams finally get a clear picture of each customer to help businesses reach new levels of performance and predictability. Sugar is the CRM platform that makes the hard things easier.

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AI TECH,GENERAL AI,AI APPLICATIONS

Blueshift Launches AI Recommendations Recipes for Marketers

Blueshift | September 05, 2022

Blueshift, the leading Smart Hub platform for intelligent customer engagement, today announced at the company's Engage 2022 conference the launch of the industry's first collection of 100+ pre-built AI Recommendations Recipes for marketers. The new recipes, together with Blueshift's industry-leading Recommendations Studio, provide unparalleled ease of use for marketers for hyper-personalized customer engagement, enabling them to recommend content, products, and offers that are based on each customer's individual behavior, as well as the behavior of similar customers. Today's consumers demand personalization across all engagement channels and interaction touch points, and the use of AI has become key for marketers to successfully scale their efforts. In fact, studies show that marketing campaigns featuring AI recommendations are 116% more effective, driven by 22% higher click rates and 209% higher conversion rates. Over the last 12 months, marketers have hyper-personalized more than 10 billion messages using Blueshift's Recommendation Studio, which is built using patented technology. Furthermore, Blueshift customers have reported significant business results from using recommendations, including 131% higher sales and 384% higher lead volumes. "With today's release of AI Recommendations Recipes, we are excited to bring accessible AI directly in the hands of marketers. "We are empowering a new generation of marketers who are data artists, combining the art of marketing with the power of AI and data science." Manyam Mallela, Co-Founder and Chief AI Officer at Blueshift The new capabilities for AI Recommendations Recipes unveiled today empower marketers to: Get started quickly with 100+ pre-built AI marketing recipes: Marketers now have a great starting canvas, pre-loaded with configurations for common use cases like abandoned carts, newsletter feeds based on affinities, cross-merchandising based on the wisdom of the crowds, trending content or changes to catalogs, and more. These recipes can be easily edited to get the recommendations just right for each use case. Personalize each message using drag-and-drop simplicity: Once the recommendation scheme using out-of-the-box recommendation recipes have been built, marketers can use a newly released drag-and-drop interface to insert them into emails, SMS, push notifications, in-app messages, or any creatives for their campaigns. Additionally, it's easy to suppress repetitive recommendations and to include seasonal and business promotions alongside predictive content. Analyze and optimize with advanced reporting: New in-depth reporting on advanced recommendation analytics enables marketers to optimize campaigns by using the best-performing recommendations, while also gaining visibility into which items are being recommended to each user and which ones users are engaging with. Retailers, ecommerce providers, and digital media and over-the-top (OTT) companies are especially poised to benefit from these new capabilities provided by AI Recommendations Recipes. For instance, retailers can design customer journeys with highly relevant content and recommendations in real time based on the shopper's affinities, search and browse activity and purchase history. Streaming service providers can use advanced AI to precisely match millions of viewers with hundreds of thousands of media content catalog items and engage them with daily content feeds that are auto optimized based on prior activity. About Blueshift San Francisco-based Blueshift helps brands deliver relevant, connected experiences across every customer interaction. The Blueshift cross-channel marketing platform uses patented AI technology to unify, inform, and activate the fullness of customer data across all channels and applications. Through unified data, cross-channel orchestration, intelligent decisioning, and unmatched scale, Blueshift gives brands all the tools they need to seamlessly deliver 1:1 experiences in real-time across the entire customer journey. Blueshift has been recognized in the 2021 Deloitte Technology Fast 500™ list as one of the fastest growing technology companies in North America.

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Babel Street Launches Groundbreaking Insight APIs

Babel Street | September 02, 2022

Babel Street, the world's leading AI-enabled data-to-knowledge company, today announced the immediate availability of three new Insight APIs that allow customers and partners to incorporate data onto any chosen platform. While the Babel Street Platform has been implemented in a variety of environments, these APIs dramatically increase flexibility for customers and partners. With the new Insight APIs, Babel Street now offers customers more control and configuration capabilities than any other Open-Source Intelligence (OSINT) platform. Highlights of the Babel Street Insight APIs include the global and multilingual capabilities, which make it possible to process any publicly available input in hundreds of languages, as well as access to the AI and ML-enabled Babel Data Library, the world's largest and most diverse collection of enriched data. The library empowers customers with data that has undergone a range of improvements like normalization, location extraction, sentiment analysis, violent intent detection, entity identification, and curation by topic or location. As a result, insights relevant to customer challenges can now go anywhere to rapidly inform multi-disciplinary teams and agents, including customer data lakes and internal applications. Each day over 2.5 quintillion bytes of data are created online, adding to the massive trove of data already available. Intelligence professionals rely on Babel Street's technology to access valuable data, position it for fast, accurate analysis, and ultimately generate critical insights in the proper context. The Insight APIs put customers in control with configuration and channel functionality that accelerates time-to-insights. "Our customers don't just need publicly available data. They need that data fast, accurate, and to arrive in context. Above all else, they need data that is accessible in the right place, consistent with intelligence operations, standardized for consistency across hundreds of sources, and available for analysis in real-time. "Our Insight APIs bring agility and flexibility to the intelligence process, even as the firehose of data grows by the day." Pat Butler, SVP Strategy at Babel Street The OSINT market is expected to grow to over $20 billion by 2027, with national security teams and large enterprises leading adoption. Analysts have also predicted that by 2025 over 463 exabytes of data will be generated each day globally. Given the rapid growth and disparate nature of data, it's critical that providers make their technologies increasingly flexible and customizable. Babel Street's Insight APIs ensure a perfect match with national security and enterprise requirements while expanding the possibilities for end-users. "This new offering represents the latest step in our push to make open-source intelligence solutions easier to use and consume for both public and private sector customers," said Michael Southworth, CEO of Babel Street. "These APIs create incredibly flexible opportunities to ingest data into an existing platform while increasing the depth and speed of relevant insights. We're proud to be the only OSINT provider who can reliably put intelligence anywhere and do it at scale." The Babel Street Insight APIs include: Channels The Channels API provides access to Babel Street's curated collection of documents indexed by topic and location to provide real-time global situational awareness, focusing on breaking news, disease outbreaks, mass casualty attacks, national disasters, terror events, transportation, and other significant events. Document The Document API leverages Babel Street's extensive enriched data library, which processes hundreds of millions of documents per day across tens of millions of publicly available sites to make full-form feeds available for indexing and search in near real-time. Identity The Identity API provides access to person-based public records data and related documents. Searches are performed using identifiers, such as name, address, phone, email, social handle, and more. About Babel Street Babel Street is the world's leading AI-enabled data-to-knowledge company. The company's technology allows customers to rapidly discover and decipher the insights they need to empower their missions, regardless of origin, language, or platform. Babel Street's patented analytics software transforms the most relevant insights for our customers through AI-enabled, cross-lingual, conceptual, and persistent search of information from around the world. State-of-the-art linguistics technology deciphers actionable insights from public or private data sources unbound by origin or language. With Babel Street, governments and organizations empower their teams with critical and timely insights on a single pane of glass for immediate analysis, action, and mission success. Babel Street software serves as a force multiplier for customers to uncover threats and opportunities – known and unknown, foreign or domestic, physical or cyber – and make the world a safer, more prosperous place. Babel Street is privately held and is headquartered in the Washington, D.C. area, with offices in London, Canberra, and Ottawa.

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Spotlight

Ensuring smart IT investments to free up budget for innovation, moving forward aggressively on digital business strategies and making IT agile for faster solution delivery—the three tenets of Alfabet’s product development—are all reflected in Alfabet 10, our latest release.

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