AI TECH,SOFTWARE,FUTURE TECH
Amelia | September 27, 2022
Amelia, the leading Enterprise Conversational AI software company, today announced that Amelia has been recognized as a Leader in Conversational AI in Everest Group's recent report, Conversational AI – Technology Vendor Landscape with Products PEAK Matrix® Assessment 2022. This marks the second consecutive year that Amelia has been recognized by Everest Group for its leadership in the Conversational AI market.
For this PEAK Matrix® assessment, Everest Group evaluated the Vision & Capability and Market Impact of 26 global Conversational AI technology vendors, and then classified each company into one of three categories: Leaders, Major Contenders and Aspirants. Of the 26 vendors assessed, Amelia is named the Leader and placed in the highest overall position in Everest Group's PEAK Matrix®.
In the report, Amelia is the only vendor to be listed amongst the top technology vendors for all major business functions, and leads in all major industries – including banking, telecom, healthcare and insurance. Everest Group also highlights Amelia's considerable experience working with global clients from across all industries as a notable strength.
Amelia's omnichannel capabilities, sentiment analysis, agent-assist and built-in Orchestration Services are also all recognized as key advantages of the company's Conversational AI platform. "Buyers have also highlighted the cognitive capabilities of the platform, its partnership ecosystem, and the Amelia team's transparency as strength areas of the vendor," the report states.
"There is no denying the critical role that Conversational AI continues to play for successful businesses, as evidenced by the exponential increase in adoption that we're observing across industries. As pioneers of this competitive landscape, one which we have pursued for more than two decades, we are honored and proud that for two years running, Everest Group has recognized Amelia as the clear Leader in Conversational AI."
Chetan Dube, CEO of Amelia
Amelia is a leading Enterprise Conversational AI software company with a long history of innovation in automation and Conversational AI. We create fulfilling human experiences through groundbreaking AI solutions, as we enable conversational experiences, streamline IT operations, and automate processes. In 2014, we launched Amelia, the Most Human AI™; then in 2018, we introduced true end-to-end, enterprise-wide automation allowing enterprises to quickly optimize back-end operations. Amelia is consistently recognized by third-party analyst firms as a market leader. Headquartered in New York City with offices in 15 countries, Amelia's roster of client success stories speaks for itself: Our technology impacts more than 200 of the world's leading brands, including global leaders in banking, insurance, telecommunications, and other industries. See how Amelia is powering the Future of Work at amelia.ai.
AI TECH,AI APPLICATIONS,SOFTWARE
AppTek | September 27, 2022
AppTek and expert.ai announced today they have entered into a strategic technology partnership to bring AI-based text analytics to dynamic audio content in multiple languages. The partnership leverages AppTek's leadership in Automatic Speech Recognition (ASR) and Neural Machine Translation (NMT) technologies with expert.ai's natural language understanding (NLU) capabilities to enable organizations to leverage audio content in the unstructured data sets that they manage for improving decision making and augmenting intelligent automation.
As organizations increasingly utilize language data—emails, documents, reports and other free form text— for an ever-growing range of enterprise use cases (knowledge discovery, contract analysis, policy review, email management, text summarization, classification, entity extraction, etc.), natural language capabilities will play a critical role in powering any process or application that relies on unstructured language data. The combined capabilities of AppTek and expert.ai supercharge enterprise and government NLU and NLP (natural language processing) applications, expanding the data types and sources available for analysis to provide even more informational output.
"This partnership brings the full stack Human Language Technology to the federal and commercial space in both Europe and the United States. As we cover multiple sources and types of information input together, we address the full scope of recognition, cognition, interpreting and analytics. "We look forward to implementing our joint vision."
Michael Veronis, Chief Revenue Officer at AppTek
Using AppTek's speech-to-text technology within the expert.ai Platform, organizations can automatically transcribe audio types from different sources, including high-quality media broadcast content, podcasts, meetings, one-to-one interviews or even low-bandwidth telephone conversations. In addition, they can leverage advanced multilingual functionalities to generate highly accurate, customizable and scalable translations across hundreds of language pairs.
"The challenges posed by different languages and dialects along with the constraints of speech-to-text accuracy are causing organizations to miss out on the massively unexploited value of language data, especially audio content," said Colin Matthews, Chief Revenue Officer at expert.ai. "We are thrilled for this partnership, since AppTek technologies for automating speech recognition and machine translation complement our AI-powered natural language capabilities by harnessing the potential of dynamic multilanguage audio content within the expert.ai Platform."
AppTek is a global leader in artificial intelligence (AI) and machine learning (ML) technologies for automatic speech recognition (ASR), neural machine translation (NMT), natural language processing/understanding (NLP/U) and text-to-speech (TTS) technologies. The AppTek platform delivers industry-leading, real-time streaming and batch technology solutions in the cloud or on-premises for organizations across a breadth of global markets such as media and entertainment, call centers, government, enterprise business, and more. Built by scientists and research engineers who are recognized among the best in the world, AppTek's multidimensional 4D for HLT (human language technology) solutions with slice and dice methodology cover hundreds of languages/dialects, domains, channels and demographics, and drive high impact results with speed and precision.
Expert.ai is a leading company in AI-based natural language software. Organizations in insurance, banking and finance, publishing, media and defense all rely on expert.ai to turn language into data, analyze and understand complex documents, accelerate intelligent process automation and improve decision making. Expert.ai's purpose-built natural language platform pairs simple and powerful tools with a proven hybrid AI approach that combines symbolic and machine learning to solve real-world problems and enhance business operations at speed and scale. With offices in Europe and North America, expert.ai serves global businesses such as AXA XL, Zurich Insurance Group, Generali, The Associated Press, Bloomberg INDG, BNP Paribas, Rabobank, Gannett and EBSCO.
Deci | September 26, 2022
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.
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.