SOFTWARE, COMPUTER VISION

Deci Introduces World’s Most Advanced Semantic Segmentation Models

Deci | September 26, 2022 | Read time : 02:50 min

Deci
Deci, the deep learning company harnessing AI to build AI, today announced a new set of industry-leading semantic segmentation models, dubbed DeciSeg. Deci’s proprietary Automated Neural Architecture Construction (AutoNAC) technology automatically generated semantic segmentation models that significantly outperform the most powerful models publicly available, such as the MobileViT released by Apple, and the DeepLab family released by Google. Deci’s models deliver more than 2x lower latency, as well as 3-7% higher accuracy.

Semantic segmentation is one of the most widely used computer vision tasks across many business verticals, including automotive, smart cities, healthcare, and consumer applications, and is often required for many edge AI applications. However, significant barriers exist to running semantic segmentation models directly on edge devices, such as high latency and the inability to deploy those models due to their size.

With DeciSeg models, semantic segmentation tasks that previously could not be carried out at the edge because they were too resource intensive are now possible. This allows companies to develop new use cases and applications on edge devices, reduce inference costs (since AI practitioners will no longer need to run these tasks in expensive cloud environments), open new markets, and shorten development times.

“DeciSegs are an example of the power of Deci’s AutoNAC engine capabilities to generate custom hardware-aware deep learning models with unparalleled performance on any hardware. AI teams can easily use DeciSegs models or leverage Deci’s AutoNAC engine to build and deploy custom models that run real-time computer vision tasks on their edge devices.” said Yonatan Geifman, PhD, co-founder and CEO of Deci.

Deci’s platform has a proven-track record in enabling AI at the edge and empowering AI teams to build and deploy production grade deep learning models. Earlier this year, Deci announced the discovery of DeciNets for CPUs, which reduced the gap between a model’s inference performance on a GPU versus a CPU by half, without sacrificing the model’s accuracy, enabling AI to run on lower cost, resource constrained hardware.

“In the world of automated deep neural network design and construction, Deci’s AutoNAC technology is a game changer. It uses deep learning to search vast spaces of neural networks for the model most appropriate for a particular task and particular AI chip. In this case, AutoNAC was applied to the Pascal VOC Semantic Segmentation task on NVIDIA’s Jetson Xavier NX™ chip and we are very pleased with the results.” said Ran El-Yaniv, co-founder and Chief Scientist of Deci and Professor of Computer Science at the Technion – Israel Institute of Technology.

Deci’s platform is serving customers across industries in various production environments including edge, mobile, data centers and cloud. To learn more about how leading AI teams leverage Deci’s platform to build production grade models and accelerate inference performance, visit here.

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.

Spotlight

The word then gained acceptance and was given many synonyms including “Industry 4.0”, “Factory of the future”, Fourth Industrial Revolution” etc. Once IIoT Services are introduced in industries, it can help machines and workforce to come together and accomplish tasks that were difficult to achieve before. It has the potential to render operational and financial benefits to an array of industries including Oil and gas, power, manufacturing and aviation industries.


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AI TECH,SOFTWARE,FUTURE TECH

Credo AI Announces New Capabilities to Bring Transparency Through Comprehensive Assessment and Reporting

Credo AI | November 07, 2022

Credo AI, the governance company operationalizing Responsible AI, today announced the general availability of new assessment and reporting capabilities in its Responsible AI Governance Platform. These enhancements will enable enterprises to easily meet new regulatory requirements and customer demands for governance artifacts, reports and disclosures on their development and use of AI, with a focus on assessing and documenting Responsible AI issues like fairness and bias, explainability, robustness, security, and privacy. This release is the latest addition to Credo AI's software that helps enterprises manage AI risk and compliance at scale. The new feature set allows organizations to standardize and automate reporting of Responsible AI issues across all of their AI/ML applications. These features were developed in response to the growing call for transparency and documentation of AI systems from regulators, customers and consumers. Increasingly, the world is demanding to know how AI systems behave, particularly when it comes to issues like fairness and bias. Forthcoming regulations like New York City's algorithmic hiring law and the EU AI Act will soon mandate that organizations building, buying and using AI conduct regular assessments or audits of their AI tools and publish reports for public consumption. Recently, the White House also introduced a blueprint for an AI Bill of Rights which provides guidance on the design, use and deployment of AI. And last month, the House of Representatives Committee on Science, Space, and Technology held a hearing on managing the risks of AI where tech leaders including Credo AI's founder and CEO Navrina Singh discussed the need for context-focused governance and transparent reporting. Credo AI enables customers to comply with upcoming regulations and address their customers' questions and concerns about the AI systems they're offering and implementing. The platform is already in use at Fortune 100 enterprises in the financial services, insurance, high tech, and aerospace and defense sectors, which are using it to generate governance artifacts and reports on the fairness, performance, and governance of their AI systems to share with customers and regulators. The product update also includes enhancements to the Platform's integration with Credo AI Lens, an open source Responsible AI assessment framework, to enable programmatic technical assessments of fairness and bias, explainability, robustness, security, and privacy of ML models and datasets, significantly reducing the burden of Responsible AI reporting and documentation on technical teams. "Credo AI is building the governance layer that will empower organizations to ensure that all of their internal and third-party AI is meeting business, regulatory and ethical requirements. "This product release is the next step in our journey to bringing context focused governance and accountability to AI. Not only will this solution help companies bring their AI into compliance, but also ensures that their AI is working in alignment with human-centered values." Navrina Singh, founder and CEO of Credo AI Credo AI's newest product capabilities were informed by conversations across the RAI ecosystem. For the past two years, Credo AI has been actively building a community of practice in RAI with stakeholders from private, public and government sectors. Last week, Credo AI brought this community together at its inaugural Global Responsible AI Summit to amplify the Responsible AI movement globally, catalyze practical action and bridge the gap between diverse groups of stakeholders to collectively advance a future society and economy that is positively impacted by AI. About Credo AI Founded in 2020, Credo AI is a venture-backed company on a mission to empower organizations to deliver Responsible AI (RAI) at scale. Credo AI brings context-driven governance and risk assessment to ensure compliant, fair, transparent and auditable development and use of AI. Credo AI's Intelligent SaaS platform empowers enterprises to measure, monitor and manage AI introduced risks at scale. Credo AI enables organizations to create AI with the highest ethical standards, so that they are able to capture its tremendous benefits while mitigating unintended negative consequences. Credo AI customers include AI first and Global 2000s across Finance and Banking, Insurance, Retail, Defense and High Tech.

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AI TECH,GENERAL AI

WNS Recognized as a ‘Leader’ in AI and Analytics & Social Media for CX Services by ISG

WNS | November 14, 2022

WNS Limited, a leading provider of global Business Process Management (BPM) solutions, today announced that it has been recognized as a ‘Leader’ in AI and Analytics, and Social Media for CX Services in the ISG Provider Lens™ 2022 Global Contact Center Customer Experience Services report. WNS’ leadership position in AI and Analytics has been attributed to WNS Triange (the company’s Data, analytics and AI practice); proprietary technology ecosystem and strategic partnerships; and WNS EXPIRIUS, a proprietary framework that enables clients to optimize analytics-driven, intelligent omni-channel conversations with customers. WNS’ ‘Leader’ position in Social Media CX Services is driven by its robust social media practice capable of handling up to 85 million online conversations at 85 percent accuracy; a comprehensive social media product suite for everything from social listening to advanced analytics; and WNS EXPIRIUS Social, which leverages intelligent automation to deliver heightened customer experience. “We are delighted to be chosen as ‘Leader’ across Social Media, AI and Analytics for Customer Experience – two areas where WNS has made considerable strategic investments over the past several years. Our robust CX practice is built on a foundation of intelligent analytics, Artificial Intelligence and automation to address the entire customer engagement journey. Our clients leverage WNS’ advanced digital solutions to create unique experiences that drive new revenue streams and deep customer loyalty,” said Keshav R. Murugesh, Group CEO, WNS. “WNS has leapfrogged into the leader’s quadrant with its improved CX offerings. Responding to the rapidly evolving enterprise needs, WNS is driving investments in technology and frameworks that are more aligned to the current needs of its customers. The company’s meaningful investments in building WNS Triange symbolises value-driven services that help its clients in delivering superior experiences.” Namratha Dharshan, Director of Research and Principal Analyst, ISG WNS Triange enables clients from 10+ industries to develop an actionable data strategy and then translate it into action. With a team of 4,000 specialists, WNS Triange powers business transformation through three pillars: Triange Consult, Triange NxT and Triange CoE. WNS’ proprietary and industry-first Digital Customer Experience (CX) framework, EXPIRIUS, equips businesses to capitalize on analytics-led, intelligent omni-channel customer conversations. About WNS WNS Limited is a leading Business Process Management (BPM) company. WNS combines deep industry knowledge with technology, analytics, and process expertise to co-create innovative, digitally led transformational solutions with over 400 clients across various industries. WNS delivers an entire spectrum of BPM solutions including industry-specific offerings, customer experience services, finance and accounting, human resources, procurement, and research and analytics to re-imagine the digital future of businesses. As of September 30, 2022, WNS had 57,503 professionals across 60 delivery centers worldwide including facilities in Canada, China, Costa Rica, India, the Philippines, Poland, Romania, South Africa, Spain, Sri Lanka, Turkey, the United Kingdom, and the United States.

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INNOVATION,SOFTWARE,FUTURE TECH

Optimizely Launches Digital Experience Platform on Microsoft Azure Marketplace

Optimizely | November 15, 2022

Optimizely, the leading digital experience platform (DXP) provider enabling Boundless Digital Invention, today announced its content management, commerce, and personalization solutions are now available on the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure. Optimizely customers can now take advantage of the productive and trusted Azure cloud platform, with streamlined deployment and management. Optimizely DXP offers rich personalization features, powered by artificial intelligence (AI) and benefitting from the scalability, reliability, performance, and security of Azure. “Launching Optimizely DXP on Microsoft Azure Marketplace is the next step in helping more organizations unleash their full potential and transform digital experiences. “The best digital experiences begin with learning from customers, gaining their trust, and using superior intelligence to serve them and drive outcomes. By using Optimizely’s DXP with Azure, marketing teams have unlimited possibilities to drive exceptional digital experiences, while ensuring the highest level of reliability and security.” Alex Atzberger, CEO of Optimizely Optimizely DXP is an advanced Content Management System (CMS) offered in a platform-as-a-service (PaaS) model, built on Microsoft .NET 5/6, and natively designed to run on Azure, enabling customers to take full advantage of Microsoft Azure for ease of use, reduced complexity, and cost-effective technology consumption. This launch allows customers to benefit from the latest release of Optimizely Content Management Version 12 and B2C Commerce Version 14, which is Optimizely’s first version built on ASP.NET Core. It also comes on the heels of the recent release of the .NET Upgrade Assistant to make it easier for customers to move to .NET 5/6. Jake Zborowski, General Manager, Microsoft Azure Platform at Microsoft Corp. said, “We’re pleased to welcome Optimizely to the Microsoft Azure Marketplace, which gives our partners great exposure to cloud customers around the globe. Azure Marketplace offers world-class quality experiences from global trusted partners with solutions tested to work seamlessly with Azure.” 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 Optimizely At Optimizely, we're on a mission to help people unlock their digital potential. With our leading digital experience platform (DXP), we equip teams with the tools and insights they need to create and optimize in new and novel ways. Through Boundless Digital Invention, we’re reinventing marketing and allowing marketers to innovate without limits through confident content creation, inclusive collaboration and customer foresight. Now, companies can operate with data-driven confidence to create hyper-personalized experiences. Building sophisticated solutions has never been simpler. Optimizely’s 900+ partners and 1100+ employees in offices around the globe are proud to help more than 9,000 brands, including Toyota, Santander, eBay, KLM and Mazda, enrich their customer lifetime value, increase revenue and grow their brands.

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SOFTWARE, FUTURE TECH

Spice AI Raises $13.5 Million Seed Funding to Enable Web3 Developers to Build Data and AI-driven Applications

Spice AI | September 08, 2022

Spice AI today announced a seed round of $13.5 million for its platform that enables developers to build data driven applications for Web3. Madrona led the round with Australia based Blackbird Ventures, Basis Set Ventures, Alumni Ventures Blockchain Fund, Joe McCann’s new Asymmetric fund, Protocol Labs, IEX Fund, and other strategic angel investors participating, including Thomas Dohmke, CEO of GitHub, who is also joining the board. “Spice AI is building a developer first platform to create AI/ML-driven applications that harness time series data – a valuable yet difficult to harness data set for any organization. There is no ecosystem out there that is more data rich than Web3 and blockchains, but that area is currently hampered by lack of data access and infrastructure. Solving the data problem in Web3 requires deep domain knowledge and Spice AI is building the infrastructure, so developers do not have to deal with the complexity of building it themselves. Now is the time to build for Web3 and we are excited to be well capitalized to grow the team and address this gap in the market,” said Luke Kim, CEO of Spice AI. Web3 and Spice AI While most blockchains are public and open, extracting data from them to power apps and ML is painfully difficult. To get meaningful quantities of useful data, developers are forced to build and operate a massively complex infrastructure which includes blockchain nodes, big data systems, ETL and ML pipelines, data lakes, data warehouses, and query systems. Going one step further, developers must deeply understand the various data sources including virtual-machine logs, and the inner workings and state of smart contracts, across a broad array of blockchains, scaling layers, and dApps. Spice.xyz, brings this together in a platform that enables developers to access web3 data across chains via SQL over high-performance Apache Arrow APIs. The platform is available in Preview today with Bitcoin, Ethereum, and Ethereum Name Service (ENS) datasets with work in progress to launch Solana and Polygon. “Madrona has invested in machine learning infrastructure and intelligent applications for almost a decade. We see a massive opportunity for Spice AI to provide a developer-first framework and intelligent data sets that unlock insights in blockchain data and enable developers to create intelligent distributed Web3 applications. As part of the financing, Porter will join the Spice AI board along with Thomas Dohmke. Tim Porter, Managing Director at Madrona Deeply Developer Focused Founders Over the last 15 years, co-founder Luke Kim has brought together the best builders and engineers across the globe to create developer focused experiences through tools and technologies used by millions worldwide. Before founding Spice AI, Luke was the founding manager and co-creator of Azure Incubations at Microsoft where he led cross-functional engineering teams to create and develop technologies like Dapr. Co-founder Phillip LeBlanc has spent a decade building some of the largest distributed systems and big data platforms used by millions worldwide. Before co-founding Spice AI, Phillip was both an engineering manager and IC working on distributed systems at GitHub and Microsoft. Phillip has contributed to services developers use every day including GitHub Actions, Azure Active Directory and Visual Studio App Center. “Spice AI is building the foundational platform for Web3, so developers do not have to invest in standing up their own infrastructure and in data engineering that is complex and costly, and frankly, hard to get right. Delivering real time insights from time-series data across chains powers intelligent applications being built for a wide range of industries – from addressing buying patterns in e-tail/retail all the way to fraud detection and securities trading. Since our pre-seed investment, the team continues to impress us with the focus and pace of innovation as they build this infrastructure for Web3,” added Aseem Datar, Partner at Madrona. Spice AI is building an office in greater Seattle with a footprint in Asia and Australia. Check out the positions here - spice.ai/careers About Spice AI Founded in June 2021 by Luke Kim and Phillip LeBlanc, Spice AI creates technology to help developers build intelligent apps that learn and adapt. The company has raised 14.5 million in funding since 2021 and is backed by leading venture and angel investors.

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Spotlight

The word then gained acceptance and was given many synonyms including “Industry 4.0”, “Factory of the future”, Fourth Industrial Revolution” etc. Once IIoT Services are introduced in industries, it can help machines and workforce to come together and accomplish tasks that were difficult to achieve before. It has the potential to render operational and financial benefits to an array of industries including Oil and gas, power, manufacturing and aviation industries.

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