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Ambarella Launches N1 SoC Series, Elevating On-Premise Applications with Generative AI

GlobeNewswire — Mon, 08 Jan 2024 10:45:44 +0000

Ambarella, Inc. an edge AI semiconductor company, announced during CES that it is demonstrating multi-modal large language models (LLMs) running on its new N1 SoC series at a fraction of the power-per-inference of leading GPU solutions. Ambarella aims to bring generative AI—a transformative technology that first appeared in servers due to the large processing power required—to edge endpoint devices and on-premise hardware, across a wide range of applications such as video security analysis, robotics and a multitude of industrial applications.

Ambarella will initially be offering optimized generative AI processing capabilities on its mid to high-end SoCs, from the existing CV72 for on-device performance under 5W, through to the new N1 series for server-grade performance under 50W. Compared to GPUs and other AI accelerators, Ambarella provides complete SoC solutions that are up to 3x more power-efficient per generated token, while enabling immediate and cost-effective deployment in products.

“Generative AI networks are enabling new functions across our target application markets that were just not possible before,” said Les Kohn, CTO and co-founder of Ambarella. “All edge devices are about to get a lot smarter, with our N1 series of SoCs enabling world-class multi-modal LLM processing in a very attractive power/price envelope.”

“Virtually every edge application will get enhanced by generative AI in the next 18 months,” said Alexander Harrowell, Principal Analyst, Advanced Computing at Omdia. “When moving genAI workloads to the edge, the game becomes all about performance per watt and integration with the rest of the edge ecosystem, not just raw throughput.”

All of Ambarella’s AI SoCs are supported by the company’s new Cooper™ Developer Platform. Additionally, in order to reduce customers’ time-to-market, Ambarella has pre-ported and optimized popular LLMs, such as Llama-2, as well as the Large Language and Video Assistant (LLava) model running on N1 for multi-modal vision analysis of up to 32 camera sources. These pre-trained and fine-tuned models will be available for partners to download from the Cooper Model Garden.

For many real-world applications, visual input is a key modality, in addition to language, and Ambarella’s SoC architecture is natively well-suited to process video and AI simultaneously at very low power. Providing a full-function SoC enables the highly efficient processing of multi-modal LLMs while still performing all system functions, unlike a standalone AI accelerator.

Generative AI will be a step function for computer vision processing that brings context and scene understanding to a variety of devices, from security installations and autonomous robots to industrial applications. Examples of the on-device LLM and multi-modal processing enabled by this new Ambarella offering include: smart contextual searches of security footage; robots that can be controlled with natural language commands; and different AI helpers that can perform anything from code generation to text and image generation.

Most of these systems rely heavily on both camera and natural language understanding, and will benefit from on-device generative AI processing for speed and privacy, as well as a lower total cost of ownership. The local processing enabled by Ambarella’s solutions also perfectly suits application-specific LLMs, which are typically fine-tuned on the edge for each individual scenario; versus the classical server approach of using bigger and more power-hungry LLMs to cater to every use case.

Based on Ambarella’s powerful CV3-HD architecture, initially developed for autonomous driving applications, the N1 series of SoCs repurposes all this performance for running multi-modal LLMs in an extremely low power footprint. For example, the N1 SoC runs Llama2-13B with up to 25 output tokens per second in single-streaming mode at under 50W of power. Combined with the ease-of-integration of pre-ported models, this new solution can quickly help OEMs deploy generative AI into any power-sensitive application, from an on-premise AI box to a delivery robot.

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Leading Energy Distributor Jemena Partners with Startek to Reimagine Customer Experience

PRNewswire — Tue, 12 Dec 2023 18:34:40 +0000

Digital transformation delivers 34% call deflection for Jemena

Startek, a global customer experience (CX) solutions provider, and Jemena, a leading Australian energy distributor, announced the impact of their partnership designed to modernize customer experience delivery for Jemena Customers. This strategic collaboration reflects the Startek commitment to effectively combine people, technology and data to deliver customer experience excellence for leading brands.

Through this partnership, Jemena sought to modernize its call center delivery to better engage its increasingly digital savvy customers and enhance its overall customer experience (CX).

As part of the digital evolution, Startek devised and implemented a digital transformation roadmap, introduced Startek^® Omnichannel Contact Center, implemented an AI-driven natural language IVR and deployed four natural language voice bots, driven by 112 distinct intents and over 900 initial training use cases.

“The CX transformation delivered by Startek has been a game-changer. Their successful implementation of cutting-edge technology has enhanced customer and employee experience, while showcasing their unwavering dedication to our long-standing partnership. The best-in-class solutions streamlined operations, personalized interactions for customers and delivered efficiency and scalability. This collaboration embodies the Startek commitment to excellence and innovation, solidifying a lasting impact on our business,” said Lawrence Henry, Contact Centre Contract Manager, Jemena Networks.

The digital transformation of the Jemena customer experience combined with the transition of customer support to cloud-based technology has delivered a better, faster service for Jemena customers. Self-service solutions have resulted in 34% call deflection while average handle time (AHT) reduced by 100 seconds over the first 6 months of implementation.

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“Startek is proud of our long-standing relationship with Jemena that is built on a strong belief that collaboration makes us stronger and delivers better outcomes,” said Dee Arora, VP Operations, Startek Australia. “At Startek, we prioritize building unique solutions around the needs of our clients and their customers. We are delighted to be able to deliver these impressive results for Jemena and look forward to continuing to build on this successful partnership.”

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Yellow.ai Announces Listing of its Generative AI-powered Voicebots and Chatbots on Zendesk Marketplace

PRNewswire — Tue, 12 Dec 2023 17:17:50 +0000

The listing will enable enterprises to deliver human-like experiences through Yellow.ai’s Dynamic Automation Platform (DAP), leading to 60 percent reduction in operational costs.

Yellow.ai, a global leader in Conversational AI, announced their partner listing on the Zendesk Marketplace, enabling enterprises with its generative AI-powered Voicebots and Chatbots for customer experience automation.

Yellow.ai’s listing gives Zendesk customers the ability to access its Conversational AI solutions with the company’s Conversational Service Cloud (CSC), which delivers real-time support to end-customers 24/7 through an omnichannel customer support experience. The solution also provides enterprises access to the company’s generative AI-powered Dynamic Automation Platform (DAP) which utilizes a multi-LLM architecture with 60 percent reduction in operational costs.

Supporting zero setup bot deployment, Yellow.ai’s seamless integration with Zendesk provides a unified customer view and also streamlines workflows. Enterprises can leverage Yellow.ai’s solution for:

Simplified Support: With Yellow.ai’s Generative AI-powered chatbots and voicebots, enterprises can see self-serve automation increase to 90% within the first 30 days of deployment through content-based automation and goal-based conversations.
Contextualized Resolutions: With CSC, enterprises can see seamless transitions between human and AI agents when working through customer conversations, providing full context to the situation and enabling effective resolutions and increasing agent productivity by 50 percent.
Personalized Interactions: By utilizing Yellow’s DAP, enterprise customers can receive personalized and engaging conversations that are tailored to their needs. Furthermore, the platform provides improved natural language understanding and the generation of human-like dialogue.

“We’re thrilled to collaborate with Zendesk, empowering their customers with our advanced generative AI-powered conversational solutions,” said Raghu Ravinutala, CEO & Co-founder of Yellow.ai. “In today’s dynamic business landscape, customer experience stands as the cornerstone of a company’s competitiveness within their respective markets. Through our solutions, businesses gain the means to not only meet but exceed customer expectations, ultimately ensuring they maintain a formidable edge in the industry. Our Dynamic AI agents can enable businesses to automate customer functions, delivering human-like experiences that drive valuable ROI at scale.”

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Yellow.ai provides unified omnichannel solutions supporting 35+ text and voice channels in 135+ languages. This announcement showcases Yellow.ai’s growth within the North American market and comes on the heels of recent listings on the Genesys AppFoundry™ and SAP® Store.

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Pure Green Franchise Selects Voicify AI Answering to Field Caller Questions

PRNewswire — Tue, 12 Dec 2023 14:10:40 +0000

Fast-growing superfoods company automates phone-based customer service to improve customer experiences and efficiencies

Voicify, the market leader in conversational AI, announced that it has been selected as the Conversational Voice AI provider for Pure Green Franchise.

Voicify AI Answering uses natural language to field customer questions such as ‘What hours are you open?’; ‘Do you deliver?’; ‘Tell me about your menu.’; and ‘May I place an order?’. At customer request, Voicify AI Answering sends an SMS text with a link to the Pure Green menu, store directions, and online ordering platform. The system continually learns and improves based on customer questions.

“Pure Green Franchise has been recognized as a top new and emerging franchise and one of the hottest startup fast casual,” said Jeff McMahon, Chief Executive Officer at Voicify. “We’re thrilled to help this rapidly growing health brand improve customer connection and streamline operations in a high-touch yet low-labor way.”

Voicify AI Answering is available through an affordable monthly cost that will quickly pay for itself in crew labor savings and additional customer spend.

As consumers have become more comfortable with non-human customer service and Artificial Intelligence solutions in general, they are more open to interacting conversationally by phone with a frontline AI assistant. Voicify AI Answering is optimized to handle natural human speech. This means that customers can speak normally without modifying their speech at all. As needed or at customer request, the AI Answering assistant can connect the caller with human store staff.

Voicify AI Answering will enable Pure Green franchises to harness voice AI to free up store staff to fulfill orders and serve in-store guests without neglecting customers who call the store.

“We’re on a mission to build healthier communities by connecting people with superfoods,” said Pure Green Franchise Founder Ross Franklin. “Voicify AI Answering helps us fulfill our mission by making it incredibly easy for our customers to connect with their local Pure Green Franchise superfoods location and our healthy cold-pressed juices and smoothies. The vast majority of caller questions – hours of operation, directions, and so on – can be answered by Voicify AI. It’s like having an extension of our team.”

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GoNetZero Launches Conversational AI Platform ‘Renewable Energy Navigator Explorer’ To Simplify Energy Data

PRNewswire — Fri, 08 Dec 2023 14:40:46 +0000

A simpler, easier way to access and understand energy data to promote interaction, improve efficiency, and enable data-informed decisions

GoNetZero announced the launch of their new solution, Renewable Energy Navigator Explorer (René), a natural language, conversational AI that provides users with simplified energy insights.

GoNetZero™ envisions René as the revolutionary solution that assists users in making informed decisions by translating large quantities of energy data into simplified actionable insights through natural language processing. Additionally, its real-time and global accessibility enable business leaders and owners to have a comprehensive overview of their energy assets across their operations. The energy data can be effortlessly generated, simply by sending a query via text message.

A recent GoNetZero™ survey among Asia-based corporations found that a lack of knowledge and understanding around decarbonisation approaches was among corporates’ top challenges in pursuing net-zero ambitions^[1]. Furthermore, 42% of respondents faced difficulties in attaining budget approvals for decarbonisation initiatives, due to uncertainty about the commercial returns of their renewable energy project investment decisions.

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To address the knowledge gaps, René is designed to provide, easy-to-digest information to elevate understanding and decision-making when managing renewable energy assets. With customer usability as priority, René uses conversational text to respond to questions including:

What is my current energy consumption?
How much can I earn from this rooftop solar installation in one year?
What are my projected energy costs for the next year?
How many RECs can I generate from my solar assets?
How much have I earned this past month from selling energy back to the grid?

These findings can be used to make informed business decisions, by optimising the performance of energy assets such as solar photovoltaic systems, or to justify renewable energy project investments.

Soon Sze Meng, CEO, GoNetZero™, said, “René marks a significant leap in the way we manage and access energy data, paving the way for more informed discussions and considerations in the push for renewable energy. GoNetZero™ is committed to bridging the gap between businesses’ action and aspiration towards net-zero. We believe René will play a crucial role in enabling businesses to make informed decisions and scale their efforts towards net zero.”

[To share your insights with us, please write to sghosh@martechseries.com]

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Texas Family Wellness Clinic Selects Sunoh.AI, Ambient Listening Technology for Clinical Documentation

Business Wire — Mon, 04 Dec 2023 06:39:08 +0000

The primary care facility seeks to accelerate clinical documentation while maintaining high-quality patient care and boosting overall clinic efficiency

Sunoh.ai, an EHR-agnostic, AI-powered ambient listening technology for clinical documentation, announced that Texas Family Wellness Clinic is eager to adopt Sunoh.ai, enabling their providers to save time on clinical documentation and improve efficiency. Over the past several years, the practice has reported challenges with staffing and training scribes. With the help of Sunoh.ai, they aim to decrease physician burnout and strengthen the patient-provider relationship

Sunoh.ai seamlessly transcribes natural language conversations between healthcare providers and patients, offering a unique and immersive experience for both parties. It helps providers save time from intricate documentation that requires multiple clicks and multi-tasking by automatically summarizing content in progress notes and making the documentation faster and more efficient. It is an EHR-neutral platform, capable of integration with any EHR system.

“We strive to offer top-notch patient care, and if providers are burdened with clinical documentation, the patient-provider relationships can suffer.” said Amie Guevara, office administrator at Texas Family Wellness Clinic Inc. “It requires months of investment in training a scribe, and with high employee turnover, we needed a better solution for our practice. It seems that Sunoh.ai will be the solution to address these challenges. The technology will document everything during the encounter, allowing providers to make changes as needed. Providers can focus on building relationships with patients, enhancing the patient’s experience. This will not only benefit the patients and providers but also help improve our overall clinic efficiency.”

Physician burnout is prevalent in healthcare, impacting the quality and efficiency of patient care. AI eases workloads and reduces burnout, helping providers focus on patient care. Sunoh.ai takes this a step further by going beyond clinical documentation, pulling language to facilitate patient orders entirely. This includes leveraging conversations to capture lab, imaging, and medication orders, referrals, and follow-up appointment details.

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Sunoh.ai ensures the security and privacy of patient data by using industry-standard encryption and security protocols. It is compliant with all relevant healthcare regulations. Moreover, it is customizable to fit a practice’s specific needs, such as by adding custom templates or fields to the documentation process. Sunoh.ai improves the efficiency and quality of patient care by streamlining the documentation process and reducing errors, allowing doctors to spend less time on administration and more time with patients.

[To share your insights with us, please write to sghosh@martechseries.com]

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Thomson Reuters Launches Generative AI-Powered Solutions to Transform How Legal Professionals Work

PRNewswire — Wed, 22 Nov 2023 07:00:55 +0000

AI-Assisted Research on Westlaw Precision – Better, faster answers to complex research questions drawn from the industry’s most comprehensive collection of editorially enhanced content

Thomson Reuters, a global content and technology company, announced a series of GenAI initiatives designed to transform the legal profession. Headlining these initiatives is the debut of GenAI within the most advanced legal research platform, AI-Assisted Research on Westlaw Precision. Available now to customers in the United States, this skill helps legal professionals quickly get to answers for complex research questions. This generative AI skill leverages innovation in Casetext and taking a “best of” approach was created using the Thomson Reuters Generative AI Platform.

The company also announced that it will be building on the AI assistant experience Casetext created with CoCounsel, the world’s first AI legal assistant. Later in 2024, Thomson Reuters will launch anAI assistant that will be the interface across Thomson Reuters products with GenAI capabilities.

The AI assistant, called CoCounsel, will be fully integrated with multiple Thomson Reuters legal products, including Westlaw Precision, Practical Law Dynamic Tool Set, Document Intelligence, and HighQ, and will continue to be available on the CoCounsel application as a destination site. Customers will be able to choose the right skills to solve the problem at hand while taking advantage of generative AI capabilities.

“Thomson Reuters is redefining the way legal work is done by delivering a generative AI-based toolkit to enable attorneys to quickly gather deeper insights and deliver a better work product. AI-Assisted Research on Westlaw Precision and CoCounsel Core provide the most comprehensive set of generative AI skills that attorneys can use across their research and workflow,” said David Wong, chief product officer, Thomson Reuters.

With AI-Assisted Research and CoCounsel Core, attorneys are empowered with eight GenAI-powered core skills, including AI-Assisted Research on Westlaw Precision, Prepare for a Deposition, Draft Correspondence, Search a Database, Review Documents, Summarize a Document, Extract Contract Data, and Contract Policy Compliance. The company also laid out high-level product roadmaps to develop numerous additional GenAI skills to address customer-specific needs. Each additional skill will be built on a common software framework within the Thomson Reuters Generative AI Platform.

AI-Assisted Research allows customers to ask complex legal research questions in natural language and quickly receive synthesized answers, with links to supporting authority from Westlaw content and links to further examine that authority. AI-Assisted Research streamlines the initial phase of legal research with sophisticated answers to questions and the authority those answers are based on, saving hours of work. These responses are founded on more than 150 years of Thomson Reuters classification, analysis, and editorial expertise contributed by subject matter experts and attorney editors. AI-Assisted Research employs Retrieval Augmented Generation (RAG) to prevent the large language models (LLMs) from making up things like case names and citations by focusing the LLMs on the actual language of Westlaw content. Future plans include expanding GenAI throughout the research process in Westlaw and bringing these capabilities to versions of Westlaw outside the US. Starting in 2024, target markets include the UK, Canada, Australia, and New Zealand.

“Thomson Reuters is well positioned to deliver high-quality AI results because it has the largest, most up-to-date, and trustworthy legal research system in the world,” said Andrew Bedigian, counsel, Larson LLP. “The fact that AI-Assisted Research relies exclusively on Thomson Reuters vetted database should provide lawyers with confidence that the answer AI-Assisted Research is generating in response to attorney questions is going to be well supported. And the fact that AI-Assisted Research delivers all the sources it relied upon – right beneath the answer – provides additional confidence that the program is delivering on our research needs.”

“We leveraged our experts in Thomson Reuters Labs, our more than 1,600 attorneys, and our best-in-class content to build a Westlaw Precision tool that provides our customers with the trust, accuracy, and speed they need to serve their clients,” said Mike Dahn, head of Westlaw Product Management, Thomson Reuters. “Our human oversight, technology expertise, and industry-leading content are critical to producing trusted answers with generative AI. This tool won’t obviate the need for attorneys, but it will help them do their work better and faster.”

CoCounsel Core

With integration well under way, the company today announced CoCounsel Core as the commercial offering of legacy CoCounsel skills. CoCounsel has had more than 4,000 hours of rigorous testing and training by more than 1,400 customers since its launch in May – including input of law firms, corporations, and government agencies. All of this learning is being utilized in the Thomson Reuters innovation journey.

Thomson Reuters Generative AI Platform

The Thomson Reuters Generative AI platform is a cloud native technology platform that uses an API-first development approach and incorporates Thomson Reuters user experience and design systems. It will enable Thomson Reuters to quickly and easily launch new generative AI skills by leveraging reusable components as the building blocks for future products. The Thomson Reuters Generative AI platform will provide a safe, privacy-compliant, and reliable platform for generative AI development, enabling scalability across a wide range of LLM providers.

Thomson Reuters will continue to bring GenAI to more aspects of the legal research process with the introduction of GenAI within Practical Law Dynamic Tool Set in January 2024. Customers will benefit from generative AI within Practical Law through a new interface with an AI legal assistant, which will quickly provide answers using conversational language – all validated by trusted Practical Law content created and maintained by a team of more than 650 legal experts.

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Thomson Reuters is committed to ensuring that its AI products and skills are built responsibly. To review the guidelines used to ensure that Thomson Reuters solutions are secure, trusted, and reliable, see the company’s AI principles.

[To share your insights with us, please write to sghosh@martechseries.com]

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Entropik Launches Decode CoPilot for Augmented Consumer Research Experience

AIT News Desk — Tue, 21 Nov 2023 07:20:01 +0000

Entropik, a leader in human insights, announced the launch of Decode CoPilot, a new feature in Decode, an integrated consumer research platform. Decode leverages Behavioral AI, Emotion AI, and Generative AI to revolutionize both qualitative and quantitative research, consolidating all research services into a single, unified platform for brands. The new feature, built to further transform and enhance customers’ experience with Decode, promises to deliver seamless data analysis capabilities to its users.

Decode CoPilot boasts advanced capabilities to answer questions based on comprehensive analysis conducted on various research data available within the Decode workspace. The platform offers several valuable benefits, including instant answers, effortless natural language interaction, supercharged efficiency, tailored insights for your unique research needs, assured confidentiality to protect and secure your research data, and the ability to analyse emotion and behavior data at scale.

One of the key features of the Decode CoPilot is its user-friendly interface, which allows users to ask queries about the research data available in the workspace seamlessly. CoPilot assists users in obtaining rapid insights from historical and contemporary research data, PDFs, PPTs, transcriptions, and other sources. Users can effortlessly inquire with CoPilot using everyday language, as if engaging in a conversation with a research analyst.

About Decode:

Decode is an Integrated Consumer Research Platform powered by Insight AI that accelerates research processes by 6x, offering a seamless experience for Quant, Qual, Diaries, Media, and Shopper research. With a Global Panel of 80 million+ respondents across 120 countries, we ensure easy access to your target audience. Insights AI, powered by Facial Coding, Eye Tracking, Voice AI, and Generative AI, delivers unbiased, rich, and actionable insights for precise decision-making. The Decode Repository consolidates past and present data, creating a single source of truth for consumer research. Decode is not just a platform; it’s the future of consumer intelligence – bridging data and decisive action.

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[To share your insights with us, please write to sghosh@martechseries.com]

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Yotascale Unleashes Generative AI on Cloud Operations to Reinvent Cloud Cost Management

AIT News Desk — Thu, 16 Nov 2023 12:41:41 +0000

Yotascale, the leading choice for cloud cost management in modern digital organizations announced Yota AI Assist, the first-ever FinOps Copilot powered by Generative AI.
Yota AI Assist Adds 24/7 Cloud Cost Analyst to Your Team.

Yotascale users – CTOs, CFOs, FinOps, and engineers alike – gain access to an intelligent agent that can systematically explore their company’s cloud cost drivers eliminating 95% of the human-centric labor now spent analyzing and correlating this data. Yota AI Assist is a natural language assistant where you ask whatever you need and receive answers. CTOs and CFOs can get immediate answers to financial questions without back-and-forth with engineers and FinOps. According to Patryk Sroka at Clickup, “Nobody is doing this today. This has reduced my time spent on cloud cost management from 10 hours a week to 20 minutes. Just amazing.”

Yota AI Assist continuously analyzes your AWS, Azure, GCP, Snowflake, Datadog, Databricks, and other infrastructure costs providing insights and optimization recommendations for each manager based on their unique objectives and role, keeping it high level if you are the CFO and making it detailed if you are an engineer. A capability like this democratizes cloud cost data so that anyone can quickly get answers optimizing cloud computing operations at every level.
Generative AI Adoption Increases Cloud Costs and Platform Engineering Complexity
Generative AI adoption is driving steep increases in cloud computing costs while also increasing the complexity of enterprise engineering platforms. IDC reported, shared cloud infrastructure costs increased 13.7% in Q2 2023 with a shift towards robust configurations geared towards more complex workloads and new AI initiatives. Digital business success now requires strategic management of both external cloud provider costs as well as internal consumption costs simultaneously. Yota AI Assist makes it possible for heads of engineering to manage both their cloud infrastructure and Total Platform Costs with an always-on intelligent agent. Yotascale launched its Total Platform Cost solution earlier this year enabling customers to connect the cost of any infrastructure provider including Snowflake, DataDog, Databricks, Splunk, Jira, and many more.
Yota AI Assist can monitor platform utilization patterns and recommend adjustments to both cloud provider plans and internal use of platform engineering services. Heads of engineering can call up a list of users and instantly report on their Total Platform Costs at any moment, providing exact details on the COGS (Cost of Goods Sold) reporting for their company’s digital products. Developers can optimize applications against specific pricing plans from cloud providers. It can be set to monitor specific instances, applications, and even teams to provide alerts to humans and other applications.

Ensuring Peak Transparency with Cloud & Infrastructure Providers
“This is really good because you don’t need to click click click, just ask a question. Being able to ask about the differences between one shard vs another will be a game changer for us. This is the most common question I’m getting from my executive team. They don’t care about fancy visualizations, they want to receive straightforward answers,” continued Patryk Sroka at Clickup. “It’s a game changer because it’s difficult to understand cloud billing structure, how it’s working. Now you can ask whatever you want.”
“Our goal was to supercharge FinOps and Platform Engineering teams alike with cloud spend intelligence,” commented Asim Razzaq, CEO of Yotascale, “so they never again experience the anxiety of feeling like costs are out of control, with no path to bring them down. You don’t need an army of people to triage this information, shuffle spreadsheets, or fumble with complicated dashboards anymore. Access to this infinitely scalable solution lets companies up-level their teams to focus on bigger things and save money in other places. With direct access to Yota AI Assist, Total Platform Cost data and FinOps are fully engaged, decision-makers can get the information they need when they want it and how they want it.”
Science Based on Unique Domain Experience
Yota AI Assist is based on Yotascale’s extensive industry domain knowledge in cloud cost management and total platform engineering cost management working with leading enterprises who are each redefining their industries: Clickup, Zoom, Hulu, and Okta.

[To share your insights with us, please write to sghosh@martechseries.com]

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SymphonyAI Announces Generative AI Industrial Copilots to Deliver Contextual Intelligence for Superior Operations, Productivity, and Uptime

Business Wire — Wed, 15 Nov 2023 11:32:56 +0000

Next-gen factories now a reality with generative and predictive AI enhancing efficiency by 30%, reducing maintenance costs by 50%, and expediting decision-making by 70%

SymphonyAI, a leader in predictive and generative enterprise AI SaaS, revealed its inaugural suite of generative AI industrial copilots to help frontline workers speed operations and improve efficiency.

The three role-based copilots—Plant Performance Copilot, Digital Manufacturing Copilot, and the Connected Worker Copilot—provide enhanced human-like interaction so workers can get beyond standard data analytics and analysis to understand what happened, why, and more importantly, anticipate future events. Assisted by copilots, plant managers, operators, engineers, and technicians can swiftly identify, diagnose, and overcome operational hurdles with instant initiation of corrective and mitigating actions.

Built on SymphonyAI’s next generation predictive and generative AI Industrial Reasoning and Insights Platform (IRIS), the copilots integrate within SymphonyAI industrial applications. The copilots leverage Microsoft Azure OpenAI alongside an industrial knowledge graph that includes events, sensor data, asset details, product documentation and manuals, and reliability and maintenance reports. All three copilots contextualize, process, and analyze data from various manufacturing sources. Data is presented in natural language to create actionable insights, enhance operations, reduce downtime, and bolster overall productivity.

The industrial copilots are explicitly built to meet the unique needs of diverse manufacturing personnel, delivering personalized assistance for enhanced efficiency and productivity. By rapidly indexing the manufacturer’s digitized knowledge base for natural language processing, the copilots allow intuitive understanding and interaction, enabling users to delve into ‘what-if’ scenarios to uncover specific, actionable opportunities.

“SymphonyAI’s innovative industrial copilots move manufacturing beyond the limits of analytics to a powerful factory of the future using predictive insights to anticipate and mitigate production risks and dramatically reduce maintenance costs. These copilots alongside our recently announced Industrial LLM will turbocharge key manufacturing roles, delivering unmatched leaps in productivity and accuracy,” said Prateek Kathpal, President and CEO of SymphonyAI Industrial. “Our suite of industrial copilots turns the impossible into the possible with previously unimagined transformations in manufacturing efficiency, uptime, quality, and decision-making.”

SymphonyAI industrial copilots simplify analysis and resolution for all users:

Plant Performance Copilot enables users, including plant managers, maintenance, and reliability engineers, to quickly uncover and implement recommended actions to enhance plant performance by using natural language in a chat format rather than querying databases, interpreting dashboards, or accessing knowledge repositories. It interacts across all relevant data sources for critical asset processes, delivering targeted user assistance, recommends actions, and forecasts plant performance through contextual, proactive insights and automated workflows. Leveraging natural language, it accelerates root cause analysis from generated anomalies, including quantified KPI impact of underperforming assets and processes, along with recommended remediations.

Digital Manufacturing Copilot streamlines and strengthens manufacturing operations by seamlessly tying workflow, production, and asset data together to unveil invaluable production process optimization and bottleneck prevention insights. Generative AI adds a more intuitive ability to run what-if scenarios for production scheduling, boost throughput, and improve overall equipment effectiveness (OEE) metrics.

Connected Worker Copilot can quickly and comprehensively scan machine manuals, procedures, knowledge bases, and other sources of data to provide instant, contextual recommendations and information to users in natural language, enabling them to instantly identify and resolve problems without having to conduct time-consuming research or consult more experienced colleagues. Integrated with SymphonyAI Connected Worker, the copilot streamlines inspections, reduces rework, and minimizes resource waste for frontline workers. Natural language access to troubleshooting guides, maintenance manuals, and procedure documentation fosters smooth operations with clear insights into workflow metrics and assists new employees with a simple screen tap.

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