Marigold Health, the tech-enabled peer recovery innovator, today announced the close of an $11 million Series A fundraise. The round was led by Rock Health and Innospark Ventures with additional investment from the Commonwealth Care Alliance (CCA), Wavemaker360, Stand Together Ventures Lab, Epsilon Health Investors, Koa Labs, VNS Health Plan and KdT Ventures. Marigold is addressing a national shortage of SUD care by expanding access to high-quality peer support. Their proprietary peer support program combines one-on-one coaching from a certified peer specialist with 24/7 access to text-based support groups in the Marigold app, which is integrated with natural language processing that flags health needs expressed in chats and triggers additional support when needed.

The new funding comes after Marigold achieved significant milestones with seed funding in communities hit hardest by the Opioid Crisis. From 2020-22, Marigold conducted a pilot with a major managed Medicaid organization in Delaware and quickly grew to become the state’s largest provider of peer recovery supports. An outcomes analysis of 1000 Marigold app signups found that 98% reported improvement in at least 1 dimension of Recovery Capital, a clinically validated metric that measures an individual’s ability to maintain long-term recovery.

The Series A will allow Marigold to meet a national demand for more engaging SUD supports – their program is currently available to 25,000 members in Delaware, Rhode Island, and Massachusetts and Marigold is expecting to expand to at least 4 additional states by the end of next year.

“Historically, most investment in SUD care has focused on the small minority of people already receiving and open to treatment” said Shrenik Jain, Founder and CEO of Marigold Health. “Generally, this treatment isn’t very effective – peer support is the unspoken reality on how most people finally get better. We’re creating a safe place for our members to empower each other and get the best out of a broken system.”

The company is currently prioritizing partnerships with Medicaid and duals health plans covering medically complex or vulnerable populations, some of who have joined this round. Marigold expects to continue its strategy of implementing a value-based reimbursement model for peer support, ensuring that improved member outcomes lead to less total healthcare expenses.

Aman Shah, VP of New Ventures at VNS Health, one of the nation’s largest nonprofit home healthcare organizations, and integrated Medicaid-Medicare health plan explains, “We made the decision to invest after seeing how Marigold engaged and reduced costs for members with SUD at other health plans. Marigold’s unique approach combines traditional peer support services with technology that is highly complementary to existing programs that engage individuals with substance use disorders.”

Arvin Grover, General Partner at Digital Health Venture Partners, added “Marigold can wrap around any existing treatment program to consistently engage members and demonstrate real world results.”

Investors were also compelled by Marigold’s technology platform – the company leverages proprietary natural language processing (NLP) to upskill peer specialists, ensure online interactions are constructive, and inform the efforts of other treatment providers.

“Marigold’s team has a unique vision that involves investing heavily in their served communities and scaling the impact of their efforts through AI.” said Andy Palmer of Koa Labs.

Mark Legare of Innospark Ventures, a VC fund focused on AI, highlighted that Marigold’s platform is valuable to many stakeholders. “Marigold has built innovative technology grounded in direct feedback from health plans, providers, and peers to drive scalable impact.“

“Marigold has achieved impressive milestones due to a combination of community partnerships, innovative technology, and a commitment to real-world outcomes.” said Bill Evans, Founder and General Partner at Rock Health. “We are excited to support their next phase of growth.“

In addition to expanding their covered population, Marigold expects to grow its peer workforce and continue to develop their NLP. The Company’s longer-term vision is to build a nationally distributed peer delivery model that can support a range of chronic conditions beyond SUD.

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CAI, a global technology services firm, announced it earned Globee® Awards for American Business in two categories: Gold in Achievement in Technology Adoption and Sliver in Digital Collaboration Achievement.

Achievement in Technology Adoption: Recognizes companies for successfully adopting and integrating new technologies. CAI launched a natural language processing, AI-powered assistant to help boost employees’ productivity by reducing manual work to focus more on strategy.

Digital Collaboration Achievement: Recognizes achievements in enhancing internal and external communication and collaboration through innovative digital platforms and tools. By utilizing various communication tactics including open forums, an intranet, an internal podcast, and earned media, CAI delivers on the first principle in its 1-3-5 core value philosophy, collaborate.

CAI was selected from a pool of entries, highlighting the dedication and commitment to delivering value to clients and stakeholders. For the 2024 Globee® Awards for American Business, more than 1,100 applications were received, and more than 1,040 judges applied. Their evaluations, based on average scores and detailed inputs, determined the winners. These judges come from a diverse range of organizations around the world, bringing with them a variety of expertise and insight.

“Earning a Globee award for the second consecutive year is a testament to our relentless commitment to innovation and teamwork,” said Tammy Harper, chief human resources officer at CAI. “We are not only building and adopting cutting-edge technologies, but our people reap its benefits by connecting with each other in an ever-evolving business landscape. I am proud of our team, and I am confident that these achievements will propel us to even greater heights in serving our clients, colleagues and communities.”

“Recognizing these exemplary companies and leaders is crucial to promoting a culture of excellence and innovation within the business community,” said San Madan, President of the Globee® Awards. “Each winner has demonstrated exceptional commitment to their craft, setting a benchmark for others to follow.”

To learn more about CAI and browse open jobs, visit https://careers.cai.io/

For a full list of Globee® Award winners, visit: https://globeeawards.com/american-business/winners/

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Oracle today announced new AI innovations in the latest release of the Oracle APEX low-code development platform. The new APEX AI Assistant simplifies application development and helps developers quickly build feature-rich, mission-critical applications at scale. Developers now can create applications by using natural language prompts to specify desired capabilities and components and automatically generate SQL statements, perform one-click debug correction, eliminate the need to remember table names, and easily add an out-of-the-box conversational interface to their applications. Oracle APEX is a fully supported, no-cost feature of Oracle Database and all Oracle Database services including Oracle Autonomous Database that developers can try for free here.

By replacing complex traditional coding, Oracle APEX’s declarative development approach enables developers to build and deploy mission-critical enterprise applications 20X faster with 100X less code. With over 21 million applications built, Oracle APEX is the platform of choice for over 850,000 developers in organizations across industries worldwide.

“As a developer and someone who writes SQL every day, I know how challenging it can be to remember table names, column names, and syntax I don’t frequently use. Having an AI assistant to determine column names contextually, JOINS, and generate complex syntax is a real game changer,” said Mike Hichwa, senior vice president, software development, Oracle. “Best of all, I can use plain natural language, such as ‘show me all pink T-shirts in size large left over from the most recent shipments to our Kansas City and Wichita locations’ and the APEX AI Assistant will automate that for me, and show me the precise results.”

Trailcon offers trailer fleet solutions 24/7, managing 30,000+ assets across North America. It built its Trailcon 360 application using Oracle APEX with OCI Document Understanding. The application provides customers with real-time analytics on geo-location, telematics, preventative maintenance, and other key indicators, as well as the ability to download and integrate invoices seamlessly to replace manual processes.

“We can process over 3,000 invoices every month with an 87% accuracy rate. Oracle APEX and OCI enables the IT Solutions team at Trailcon to continue to be agile and keep providing the data services our customers can rely on,” said Giovanni Cani, vice president, IT delivery, Trailcon. “This is far simpler than other low-code solutions, and we’re excited to find out what the upcoming versions of Oracle APEX will bring, specifically around AI capabilities and process optimization.”

“Natcorp provides HR management solutions to more than 600,000 users in Brazil. The combination of APEX and AI is a huge time-saver for our customers—they can simply ask questions in the APEX app and get answers in seconds,” said Igor Sala Cardoso, head of technology and innovation, Natcorp. “This allows HR teams to focus on their core competencies, like their recruitment strategy, while reducing operational costs with AI.”

Oracle APEX is included in Oracle Database and all Oracle Database services including Oracle Autonomous Database, delivering extreme application performance, as well as industry-hardened security, availability, and scalability. For example, when used in conjunction with AI Vector Search in Oracle Database 23ai, Oracle APEX offers a way for developers to combine semantic search for documents, images, and other unstructured data with searches on private business data.

“There’s low code and there’s low code done right,” said Ron Westfall, research director, The Futurum Group. “With the latest introduction of APEX 24.1, Oracle has deftly demonstrated how GenAI can enable developers to create hardened, mission-critical applications with ease. Coming off a series of consecutive innovations and strategic announcements—such as Oracle Database 23ai and Oracle Database@Google Cloud—APEX 24.1 continues to demonstrate Oracle’s open and collaborative approach to clouds and application development.”

New AI enhancements in Oracle APEX include:

• APEX AI Assistant: Enables the creation of valid SQL statements from a natural language user prompt. APEX AI Assistant remembers SQL syntax, so developers don’t have to and automates the writing of SQL queries. It explains existing code and suggests code bug fixes that can be adopted with a simple click, freeing developers from routine coding tasks.
• Create App Assistant: Enables the creation of new application blueprints from a natural language user prompt that specifies desired attributes and capabilities. This simplifies the development of new applications and allows developers to focus their energy and resources on creating unique, bespoke application features rather than underlying code.
• Conversational AI dialogs: Enables end-users to “converse” with their applications in natural language through an out-of-the-box conversational interface that developers can easily add to their applications. As a result, developers can provide a richer in-app experience without the need to build generative AI or natural language processing components from scratch.

The new version of Oracle APEX is available to use today and will be demonstrated at the APEX Conference at ODTUG Kscope24 from July 14 – 18 in Nashville, TN.

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The future of artificial intelligence (AI) is unfolding before our eyes. Actions made today will undoubtedly pave the way for the AI road ahead, with calls for more AI regulation, energy and grid security, and AI employee protections. All the while, investment in AI is surging, with Generative AI Venture Capital Investment on track to reach $12 billion in 2024, according to analysts at EY. Meanwhile McKinsey is predicting that generative AI alone could generate $2.6 trillion to $4.4 trillion in value across industries. This is why the market is keen on monitoring the advancements of AI developers, including Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), Meta Platforms, Inc. (NASDAQ: META), Alphabet Inc. (NASDAQ: GOOG, GOOGL), Microsoft Corporation (NASDAQ: MSFT), and Amazon.com, Inc. (NASDAQ: AMZN).

With rapid advancements in deep machine learning, Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) has rebranded and shifted its market focus. The company is now directing its state-of-the-art GEM (General Enterprise Machine Learning) technology towards crucial sectors such as advertising, gaming, and neural networks.

Their ongoing development of GEM is working toward enabling businesses to create custom object detection and visual information systems, harnessing the full potential of neural networks. Scope AI’s strategic efforts aim to transform the fields of advertising personalization, gaming enhancements, and the various applications of neural networks.

Recently, Scope AI has unveiled significant enhancements to GEM, aimed at improving services for advertising agencies and the gaming sector. These upgrades allow GEM to refine advertising content and boost gameplay experiences with sophisticated neural network features. The improvements also strengthen the platform’s object visual recognition capabilities, enabling businesses to gain more profound insights and deploy more accurate solutions. With better object detection and visual information systems, advertisers can more effectively analyze consumer behavior and optimize their campaigns, while game developers can craft more engaging and immersive user experiences.

“We’re very pleased at how seamless we were able to streamline, enhance, and strengthen our platform with the latest performance and security upgrades made to our infrastructure,” said Sean Prescott, Founder and Non-Executive Chairman of Scope. “The next generation of our platform will set us apart in what kind of data and its sensitivity we can process and store. It’s a potential game-changer for the industry.”

Scope AI has introduced significant upgrades to their GEM platform, aiming to revolutionize the advertising and gaming industries with new advanced features and deeper insights. The intuitive web interface of GEM allows users—from developers to large enterprises—to easily implement sophisticated object detection systems and develop real-time neural network models.

In the advertising sector, GEM’s enhanced visual recognition technology facilitates the creation of highly targeted and engaging advertisements. This advancement leads to more efficient ad spending and higher customer engagement levels, transforming how ads are crafted and delivered.

For the gaming industry, Scope AI’s GEM platform is set to redefine player experiences. By analyzing player behavior through neural networks, GEM customizes gameplay and recommendations, providing developers with critical insights to improve game design, enhance player retention, and generate new revenue streams. These upgrades position GEM as a crucial tool for both industries, offering innovative solutions and driving forward technological progress.

In what seems to be a controversial move, Meta Platforms, Inc. (NASDAQ: META) is reportedly set to use social media posts from Europe to train its Llama large language models. In an interview with Reuters, Meta’s top policy executive said that the company uses public Facebook and Instagram posts to train its Llama models, while excluding private posts and messages shared only with friends.

Also noteworthy, is a CNBC report that claims an investment firm called IFiAI that uses IBM’s Watsonx to help make projections about the short-term directions of stocks, has predicted big upside in Meta Platforms in the coming month. One of the new announcements already shared this month, is the plan for Meta to introduce free AI chatbots on its popular WhatsApp messenger platform.

“They need to find a way to show investors with some degree of conviction that there is a there there,” said Mark Shmulik, an analyst for Bernstein. “An AI-powered chatbot inside of business messaging feels like a great place to deploy it. You might be able to find product market fit sooner than you will on smart glasses.”

Google parent Alphabet Inc. (NASDAQ: GOOG, GOOGL) launched a flurry of announcements in May that demonstrated the tech giant’s ambitions to beef up its AI search and chatbot options. Google’s latest innovations include the addition of Flash to its Gemini 1.5 AI model family, designed to be faster and more cost-effective. Another breakthrough is Project Astra, a prototype capable of conversing with users about anything their smartphone camera captures in real time. Additionally, Google has introduced search results organized under AI-generated headlines.

“This is a moment of growth and opportunity,” said Sundar Pichai, CEO of Alphabet, when asked if the AI updates could risk Google’s profitable business.

Additionally, Google is introducing AI Overviews to all U.S. users for its search function this week, following extensive public testing since last year’s I/O event. This feature leverages generative AI to compile information and address more complex queries that lack straightforward answers on the web.

“The AI Overviews launch reception this week will be an indicator of how well Google can adapt its Search product to meet the demands of the generative AI era,” said Jacob Bourne, analyst of eMarketer. “To maintain its competitive edge and satisfy investors, Google will need to focus on translating its AI innovations into profitable products and services at scale.”

After an outcry regarding privacy concerns, Microsoft Corporation (NASDAQ: MSFT) recently backtracked on a plan to have its new AI-powered PCs utilize a “Recall” feature that would capture and store screenshots of users’ desktop activities. Moving on from the controversy, it appears Microsoft is now considering a big new software bundle plan to monetize AI features in its popular productivity software suite Microsoft 365, according to sources as reported by Business Insider.

Meanwhile, the market is paying close attention to an ongoing investigation by the Federal Trade Commission (FTC) regarding a deal with AI startup Inflection. The FTC is investigating whether Microsoft’s investment in Inflection should have been classified as an acquisition that the company failed to disclose to the government, according to a source reported by CNN.

“Our agreements with Inflection gave us the opportunity to recruit individuals at Inflection AI and build a team capable of accelerating Microsoft Copilot, while enabling Inflection to continue pursuing its independent business and ambition as an AI studio,” said a Microsoft spokesperson in a statement to CNN, adding that the company is “confident” it has complied with its reporting obligations.

For eCommerce and data center giant Amazon.com, Inc. (NASDAQ: AMZN), its subsidiary Amazon CloudWatch recently announced the general availability of natural language query generation powered by generative AI for Logs Insights and Metrics Insights. This feature allows users to effortlessly create queries within the context of their logs and metrics data using plain language. By streamlining the query generation process, it enables the user to quickly derive insights from observability data without requiring deep knowledge of the query language.

Amazon’s subsidiary Amazon Web Services (AWS) also recently debuted 2 new AI certifications to train more people and give them an edge in the pursuit of the growing number of in-demand cloud jobs. The AWS certifications include the AWS Certified AI Practitioner foundation-level certification, and the AWS Certified Machine Learning Engineer – Associate certification for individuals with at least a year of experience building, deploying, and maintaining AI and ML solutions on AWS. To date, AWS provides over 100 courses and learning resources in AI, ML, and generative AI through AWS Skill Builder and AWS Educate, equipping learners for the future of work.

Article Source: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/ 

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Aurora Labs today announced a technical preview of the new extended version of LOCI (Line-of-Code Intelligence), the first AI Advisor Engineer with advanced prompting capabilities. Aurora Labs is building a future where anyone can be an expert developer or tester and make reliable, high-quality software using a proprietary Large Code Language Model (LCLM). Designed with the insights and needs of software developers and embedded systems engineers in mind, LOCI enhances software reliability, quality, and predictive software maintenance across a wide range of platforms including cloud, mobile applications, HPC, and embedded systems. LOCI supports diverse hardware from suppliers such as Infineon, NVIDIA, NXP, Qualcomm, Renesas, Samsung, and STMicroelectronics. A special free early access offer for engineers will be available for the first batch of users before the general availability in Q4 2024.

LOCI 2.0 extends the capabilities of GitHub Copilot. After coding with or without a Copilot-like tool, LOCI 2.0 advises on quality, reliability, and compatibility issues enabling the developers and testers to meet the defined KPIs. Deployed in highly demanding industries, such as Automotive, LOCI 2.0 features are compatible with the highest-quality processes for critical safety software projects.

LOCI is equipped with Aurora Labs LCLM, a Large Code Language model, that analyzes software artifacts and transforms complicated information into meaningful insights. Unlike existing Large Language Models, LOCI 2.0 tokenizers are more productive and efficient because they are x1000 smaller and have reinvented the vocabulary and pipeline training using only 6 GPUs. LOCI trained on real-time tracing of different systems-on-chip, starting in early 2017, and created billions of ASM tokens. LOCI has been trained on more than 5 billion lines of code in various languages, such as C and C++. The advanced model has an error prediction mechanism to ensure maximum model quality.

The cutting-edge AI Advisor brings transformative capabilities to software development. LOCI predicts the impact of project branching on software behavior, compares integration efforts of different pull requests, and detects dead code while providing evidence of SW behavior deviations for root-cause analysis, even without access to the source code. LOCI identifies cloned code across multiple repositories, creating a clear view of current and older systems for maintenance. This helps developers and testers understand system functionality and dependencies.

LOCI identifies the parts of the code that have changed to simplify the software update file creation and installation, ensuring seamless software updates. These features empower developers, testers, and IT managers to enhance software reliability, quality, and performance of over-the-air (OTA) updates. LOCI 2.0 creates software binary images and delta files for updates, improving system stability and compatibility, reducing data size, extending storage life, and minimizing device downtime for software updates. LOCI assists with recommendations for the risk management of SW updates by providing predictive insights into compatibility and performance degradation issues when introducing new and updated code or images.

The LOCI Advisor Engineer brings attention to deviations in the running software that are invaluable to intrusion detection systems. Suspicious software activity creates deviations in the software behavior that LOCI identifies using a behavioral software protection signature while continuously monitoring the software during the lifecycle of the project.

“Aurora Labs started this journey seven years ago, using natural language processing (NLP) to understand machine codes. We’ve reached a significant milestone by incorporating a transformer model, adding proprietary layers, and reinventing tokenizers and vocabulary. This sets the stage for a future where software engineering goes beyond traditional limits, improving capabilities and smoothly integrating with the latest technologies to boost software quality and reliability,” said Zohar Fox, CEO of Aurora Labs.

Thomas Schneid, Senior Director of Software, Partnership & Ecosystem Management at Infineon Technologies, reflected on their experience: “LOCI 2.0 is designed for software engineers and impressively supports complex software systems. Improving system quality, reliability, and compatibility are our main takeaways from the impactful data provided by LOCI 2.0. As a leader in automotive semiconductors, we are very happy to offer our AURIX TC4x family of microcontrollers (MCUs) with LOCI 2.0. This innovative solution will empower automotive manufacturers to deliver safer, more reliable vehicles and enhance performance throughout the vehicle’s lifetime.”

As Aurora Labs gears up for the full launch of LOCI 2.0 in Q4 of 2024, a special early access offer of free licenses is available for the first batch of users in the Visual Studio and GitHub stores. Further information on LOCI 2.0 is available on www.loci-dev.com and for embedded systems on the Infineon website.

A LOCI 2.0 technical preview will be showcased for the first time at Automobil-Elektronik Kongress in Ludwigsburg, Germany on June 17-18.

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• HSBC is among several industry leaders participating in Quantexa’s Lighthouse Program for early adopters
• HSBC anticipates that streamlining of analysis and acceleration of processes could lead to significant productivity gains within the first year of deployment
• Q Assist combines Quantexa’s Decision Intelligence Platform and Generative AI to augment decisions for sales, customer service, and compliance teams in financial services, TMT, and government agencies

This Monday, on the Centre Stage at London Tech Week 2024, Quantexa, the global leader in Decision Intelligence (DI) solutions for the public and private sectors debuted Q Assist, a context aware generative AI technology suite to help organizations augment trusted decision-making across teams of frontline and information workers. The announcement demonstrates progress against the company’s platform innovation roadmap and comes nearly a year after Quantexa detailed a significant investment in the global artificial intelligence (AI) industry and previewed Q Assist as a stand-alone LLM agnostic copilot.

With the new Q Assist Technology Suite, Quantexa customers will be able to operationalize generative AI for transformational gains without significant investment in infrastructure, tooling, and additional skilled resources.

Frontline and information workers can leverage the power of copilots, linked data, Quantexa’s knowledge graph capability, and other Decision Intelligence Platform features to enhance the accuracy and reliability of generative AI models that interact with all data (structured and unstructured), context, and insight across their organization. Combining LLMs with the rich context within Quantexa’s Decision Intelligence Platform enables a better understanding of data, safely grounds responses, increases performance and trust, and ensures teams have the most accurate, up-to-date information in a single place.

Helping Customers Succeed in the Era of AI
HSBC is one of the organizations currently participating in the Lighthouse Program for early adopters. Each organization in the program envisions using Q Assist in several ways, including:

• Streamlining analysis, investigation, and reporting tasks for information and knowledge workers to achieve greater efficiency.
• Reducing the reliance on data science and operations teams for ad-hoc data requests, giving them time to focus on more strategic tasks.
• Empowering customer facing teams with access to enriched data and insights they need to increase revenue and enhance customer experiences.
• Enabling teams across an organization to consistently make trusted decisions that are traceable and accelerate operational process improvement.

BNY Mellon is currently evaluating joining HSBC in Lighthouse effort. Quantexa worked with Lighthouse Program participants to project one-, three-, and five-year benefits from deploying Q Assist within their customer facing, data science, and investigative teams. It found an almost immediate productivity gain across three core areas: time saving and efficiency, new opportunity identification, and increased conversion rates.

HSBC anticipates that democratizing analytics and accelerating processes across these areas could lead to productivity gains within the first year of deployment. The company also expects to free up employee’s time, allowing them to refocus on other strategic tasks.

David Rice, Global Chief Operating Officer, Commercial Banking at HSBC, said: “This new solution has the potential to enhance the efficiency and accuracy of complex tasks such as anti-money laundering investigations and sales strategies by providing trusted data and contextual analytics. The introduction of contextual analytics and innovation will enable HSBC to concentrate our resources more productively and ultimately help our customers.”

Quantexa estimates that a tier one global financial institution with three levels of defense in financial crime and fraud compliance efforts, generating approximately 15k alerts a month, could realize significant efficiencies and cost savings by deploying the Q Assist Generative AI Technology Suite:

• Over £17M in savings enabled annually by enhancing and automating investigating and reporting processes across financial crime and fraud.

Quantexa’s CTO, Jamie Hutton, said: “Quantexa’s engineering principle of shaping solutions to deliver maximum customer value has allowed our clients to play an integral role in helping to shape the product requirements for Q Assist. Through the company’s Lighthouse Program for early adopters, we have the benefit of working with industry leaders that provide valuable feedback throughout our roadmap process.”

Eric Hirschhorn, Chief Data Officer, BNY Mellon, said: “We are excited to see this continued innovation from Quantexa. Our multi-year collaboration has helped us to break down data silos and unify our data with unprecedented accuracy. The next phase in our innovation efforts will see us exploring the potential of enabling frontline workers across the bank to use Gen AI to act on the data insights confidently and reach new levels of efficiency in the process.”

How the New Q Assist Generative AI Technology Suite Works
Quantexa’s new generative AI technology suite will combine Quantexa’s Decision Intelligence Platform and Generative AI through a new data integration layer, prompt builder, and copilot that accelerates the ability of teams to make critical business decisions.

Q Assist delivers trusted, extensible AI anchored by Quantexa’s Decision Intelligence Platform. This lets non-technical teams benefit from Quantexa’s critical platform capabilities including a connected data foundation, graph analytics, modeling, and scoring to augment and automate decision making. The Q Assist Technology Suite is comprised of three components:

• Q Assist Integration Layer: the nerve center of Q Assist. It is a framework of tools, connectors, and APIs designed to securely link Quantexa’s Decision Intelligence Platform with LLMs and conversational AI systems right out-of-the-box.
• Q Assist Prompt Builder: an extensible prompt management and sharing capability that easily integrates with external prompt engineering tools and frameworks, such as Microsoft’s Azure Prompt Flow, Semantic Kernel or AutoGen, to put the power in the hands of administrators to define and control prompts and responses that are grounded in contextual data generated by Quantexa’s Decision Intelligence Platform.
• Q Assist Copilot: allows users to query large and disparate data via a natural language interface, understand and summarize data, insights, and findings in real-time, and automate research, investigation, and reporting tasks.

Today, the company is making Q Assist Generative AI Technology Suite capabilities available to a limited set of customers, with wider public availability planned for early 2025.

To learn more about how Quantexa is helping organizations get their data ready for AI, or to download the Total Economic Impact of Quantexa’s Decision Intelligence Platform by Forrester and start measuring the ROI of Decision Intelligence investments, please visit https://www.quantexa.com/discover/ai/.

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Fibocom (Stock code: 300638), a global leading provider of IoT (Internet of Things) wireless solutions and wireless communication modules, launches a series of on-device AI solutions powered by Qualcomm^® QCS8550 and QCM6490 processors from Qualcomm Technologies, Inc. The solutions are designed to satisfy compute-intensive application scenarios such as robotics, automated vehicles, video collaborations, smart retailing, etc., accelerating industrial digitalization and intelligent transformation.

Flagship on-device AI solution powered by Qualcomm QCS8550 processor

Utilizing the powerful Qualcomm QCS8550 processor, Fibocom’s flagship on-device AI solution is designed to deliver strong performance and unparalleled multimedia capabilities. Equipped with an octa-core CPU and an Adreno 740 GPU, the solution can support up to 4 concurrent displays, and 8K video encoding and decoding. It serves as a strong core for industries requiring high-definition video playing, fast data analytics and lower latency like automated vehicles, robotics, remote medical surgery, computer vision systems, live streaming, video conference systems, and more.

Premium on-device AI solution powered by Qualcomm QCM6490 processors, piloting the high-end AIoT market

The solution developed using the Qualcomm QCM6490 processor, features an octa-core processor with high-speed HVX (Hexagon Vector Extension) technology, and a high-performance graphics engine to allow smooth 4K video playing and multi-channel camera inputs. In addition, the solution is capable of allowing a maximum of 5 ISPs (Image Signal Processing) and up to 5-8 camera streams simultaneously, helping customers to ease their concerns on multi-camera deployments as well as dual-screen display scenarios. The solution offers flexible wireless connections such as 5G, Wi-Fi, Bluetooth, and is equipped with a GNSS receiver for precise navigation both indoors and outdoors. In terms of software, the solution supports the mainstream operating systems: Android, Linux, and Windows. Leveraging the computing power of up to 13 TOPS, the solution efficiently helps customers handle data-intensive computation and processing, running various 1.3B/3B/7B open-source LLMs on the device, making it an ideal solution for smart retail, in-vehicle infotainment (IVI) and industrial inspection.

“We are excited to see our powerful Qualcomm processors, the QCS8550 and QCM6490, being utilized in Fibocom’s innovative on-device AI solutions,” stated Dev Singh, Vice President of Business Development and Head of building, enterprise & industrial automation at Qualcomm Technologies, Inc. “This collaboration is a testament to our commitment to advancing AI capabilities at the edge, enhancing performance and efficiency across a range of applications from industrial automation to smart retail.”

“It is paramount to master the productivity of AI and create value-added solutions from the edge side for our customers that are in urgent need of building their smart devices based on our solutions. We are thrilled to develop these solutions based on the advanced and powerful chipsets from Qualcomm Technologies, as it not only provides the fundamental architecture of edge intelligence, also enriches flexibility in network connections such as 5G/Wi-Fi/Bluetooth,” said Ralph Zhao, VP of MC BU at Fibocom. “In collaboration with Qualcomm Technologies, Fibocom is dedicated to injecting new versatility to the future of intelligence, and accelerating the implementation of our collaboration in robotics, industrial automation, live streaming, and more.”

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Netskope, a leader in Secure Access Service Edge (SASE), today announced groundbreaking SaaS security enhancements to Netskope One, its cloud-native platform that offers converged security and networking services to enable SASE and zero trust transformation. These new enhancements advance the platform’s already industry-leading Cloud Access Security Broker (CASB) module with additional features designed for the era of Generative AI (genAI) and SaaS collaboration. Netskope One natively integrates SSPM, inline, and API CASB functionalities together with a suite of AI capabilities, enabling organizations to get the most out of SaaS applications while proactively protecting sensitive data, whenever and wherever it travels.

SaaS apps are the backbone of productive enterprise business operations and require the most granular risk visibility possible—especially as genAI app adoption skyrockets. Netskope’s 2024 Cloud and Threat Report found that enterprise employees interact with an average of between 11-33 cloud apps per month and saw genAI app usage increase by 400% year over year. The increased reliance on these apps, and their more consistent usage, is putting a significant strain on legacy CASB solutions, which tend to rely on manually-intensive approaches for identifying applications and classifying their specific risks. Furthermore, many of these outdated tools are more difficult and complicated to manage and fail to provide the deeper intelligence and richer context needed to consistently discover and take action on current and emerging data security risks.

As a natively converged platform, Netskope One helps teams reduce security gaps, address new risks, reduce cost and complexity, increase protection, and accelerate everything to everywhere. In addition to being the industry’s first SSE leader to leverage genAI in SaaS security, Netskope also leverages the platform’s advanced, context-driven data loss prevention (DLP), and provides an easy-to-manage solution that delivers the industry’s:

• First genAI-powered CASB, which employs precise genAI algorithms for automatic risk scoring of new and previously unseen SaaS apps, on-demand risk categorization for novel SaaS applications identified by security teams, and LLM-driven risk insights for SaaS applications, simply available via natural language queries
  
• Most advanced and context-driven cloud DLP, covering over 1,800+ different file types, leveraging over 3,000+ data identifiers, ML and deep learning, AI, Natural Language Processing (NLP), convolutional neural-networks and groundbreaking trainable ML for data classification and much more
  
• Best-unified and most-automated platform aimed at making SaaS security management effortless and undemanding, thanks to shared risk intelligence across CASB inline, API and SSPM, a unified dashboard with deep visibility into users and privileges, natively unified policy framework, and ML-driven alert prioritization using risk correlation

“As a recognized leader in SASE and zero trust, Netskope provides a modern approach to SaaS security, including unprecedented capabilities that unite key SSE controls and collation of intelligence,” said John Martin, Chief Product Officer, Netskope. “Netskope One is the first converged platform that uses AI to keep pace with the SaaS and genAI app explosion, categorizing new apps and their risks faster, more granularly, and more accurately than any other solution in the market.”

To learn more about how the Netskope One platform is helping enterprises decode the modern language of the cloud and identify emerging data risks, register for our upcoming webinar, “Unlocking Modern SaaS Security: Ensuring Data Safety and Compliance in a Hybrid Work Model.”

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The greatest advance inside the 1.2 release is a new computer vision system which analyzes the graphs inside scientific papers and uses them to substantiate answers to scientific questions. This feature is a significant tool for researchers who want to use The Corporatus to find needles in the haystack of scientific literature and find incredible answers to scientific questions.

Key Features of The Corporatus 1.2 Include:

1. Computer Vision Analysis of Graphs: The Corporatus now automatically analyzes graphs included in its database of 100,000+ papers and captions them with a summary of their information.
2. Discussion of Graphs: The captioned graphs are discussed by The Corporatus to substantiate the answers provided to users’ questions.
3. Chat History: Users can now access their chat history to view historical answers and discussions.
4. Expansion of Literature Database: The Corporatus’ scientific database has increased to over 100,000 papers and the size of the database will continue to grow with the enhancements in the 1.2 release.
5. Multiple Language Support: The Corporatus now supports 10 languages. This allows researchers from all over the world to use the system.

“The Corporatus’ mission is to empower researchers with the tools they need to accelerate scientific discovery and innovation,” said Nathan Klarer of Datyra, Inc. “With the launch of The Corporatus 1.2, we’re taking a significant step forward in realizing that vision by expanding the model into computer vision and expanding the literature database drastically. We’re excited to see the groundbreaking discoveries and insights that researchers will uncover using our scientific assistant.”

Experience the future of scientific research with The Corporatus 1.2. Visit www.thecorporatus.com to learn more and start exploring today.

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Youdao reported that its total net revenues for the first quarter reached RMB 1.4billion, representing a 19.7% increase year over year. On the heels of its profitable 2023 fourth quarter, Youdao reported an income from operations of RMB 29.9 million in the first quarter, marking the first time it has posted two consecutive quarters of profitability. Non-GAAP net income attributable to Youdao’s ordinary shareholders turned positive, compared with the first quarter of last year, reaching RMB 20.3 million. The Company is also spending less on its operations with net cash used in operating activities improving by 10.5% compared with the same period last year.

Youdao’s CEO Dr. Feng Zhou stated, “We will stay focused on our in digital content services, online marketing services and AI-driven subscription services. By leveraging our AI technology expertise and profound understanding of education, we will continue to explore more application scenarios for our proprietary large language model, Ziyue, in education and advertising. As we implement our products and applications at an accelerated pace, our goal is to help users improve learning and working efficiency more effectively.”

 The dual-drive strategy of “AI + education” has proven effective, significantly improving the health of the business

After launching China’s first large language model for education, “Ziyue,” Youdao has accelerated the commercial deployment of its LLM in its education and advertising businesses. Meanwhile, Youdao continues to adhere to its strategy of producing high-quality content and providing users with personalized and superior learning content services.

During the first quarter, Net revenues from learning services reached RMB 718.0million, remaining largely unchanged from the same period last year. The digital content services continued to show strong momentum, with net revenues in the first quarter reaching RMB 500 million, an increase of 11.0% year-on-year. Youdao’s gross profit margin has remained above 70% for three consecutive quarters.

Net revenues from online marketing services reached a record high of RMB 492.7 million in the first quarter, increasing by 125.9% year-on-year and marking the sixth consecutive quarter of this business’s net revenue growth exceeding 50%.

To support its online marketing services customers, accelerate their overseas expansion efforts, Youdao Ads also quickly launched the country’s first one-stop overseas marketing platform in the first quarter, enabling companies to utilize Youdao’s rich ecosystem of over 5 million KOLs worldwide. Currently, Youdao Ads has assisted multiple Chinese enterprises in going global, including NetEase Games, miHoYo, BYD, Huawei, Xiaomi and others.

Net revenues from smart devices reached RMB 181.2 million in the first quarter. This includes Youdao’s Dictionary Pen, which continues to be a leader in innovation. Youdao successively released its latest Dictionary pen iterations in the first quarter, the A6 Pro and S6 Pro. The A6 Pro topped Douyin’s sales chart on the day of its debut and quickly became the top-selling single product on JD.com after its launch. Similarly, S6 Pro has consistently ranked in the upper echelons of JD.com’s single product sales following its launch and secured the No. 1 selling single product spot on both JD.com and Tmall platforms in May.

Generative AI accelerates deployment, focused on three major application scenarios with high growth potential where Youdao holds competitive advantages

Focusing on advantageous applications and scenarios, Youdao has been accelerating the deployment of its generative AI in diverse settings. Currently, Youdao has launched more than 10 native applications based on its LLM.

In the first quarter, Youdao’s AI-driven subscription services saw a significant boost. These services includes Youdao Dictionary, Youdao Desktop Translation, Hi Echo, and international apps. The total sales of these services approached RMB 50 million in the first quarter, increasing by over 140% year-on-year, marking the fifth consecutive quarter that this business has grown by over 50%.

Youdao is deeply immersed in the translation field and has honed its skills over many years. According to QuestMobile data, the number of monthly active users of Youdao Desktop Translation exceeds 100 million, making it the leader in the domestic dictionary translation market. Youdao Dictionary underwent a comprehensive AI transformation in the first quarter, fully integrating the new AI learning assistant Mr. P AI Tutor into word lookup, word memorization, translation, and other processes, providing users with a more professional, personalized, and powerful language learning and translation experience. 

With a deep understanding of overseas markets, Youdao has launched several apps based on LLM capabilities in the international market and has achieved impressive results. In the first quarter, the total sales of Youdao’s international apps doubled compared to the same period last year. The newly launched software covers areas such as audio transcription, translation, and AI entertainment. Among them, the audio transcription app iRecord ranks among the top two in the North American audio recording tracks.

Focusing on its core strengths, Youdao’s business centers on three primary segments: digital content services, online marketing services and AI-driven subscription services. Dr. Feng Zhou stated, “Our strategy is to concentrate on businesses and products with high growth potential and where we have significant competitive advantages.”

“Consumer-facing products currently represent the largest growth opportunity for AI, making AI-driven subscription services a natural path for AI development. We are still in the early stages and moving forward, we will accelerate our products’ reach and scale, increase user subscriptions, and continue to improve returns on our investments. We are confident in our development pathway and the growth of our business,” said Dr. Feng Zhou.

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