Safeguarding AI and business resilience with NVIDIA NIM

Trend Micro Incorporated has launched multiple efforts to shape the future of AI implementation by enterprises and governments. The new solution, included in Trend Micro’s Vision One™ Sovereign Private Cloud — powered by NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform — will allow organizations to maximize the potential of the AI era while maintaining business resilience.

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Eva Chen, Co-Founder and CEO at Trend: “We are not just adapting to an AI-driven world: we are creating it, helping to ensure that any team can securely innovate without elevating risk. New technology implemented appropriately should improve business resilience rather than impair it. Just as we did with the advent of cloud security, we are pioneering AI for security and security for AI.”

“Enterprises and governments are seeking ways to securely integrate AI into mission-critical systems while maintaining full control of proprietary data,” said Justin Boitano, Vice President of Enterprise Products at NVIDIA. “The NVIDIA AI Enterprise software platform provides the performance, reliability and security needed for advanced data protection and operational efficiency.”

Adopting new technology can pose challenges, and leaders in business and governments worldwide are especially concerned with reducing risk at all levels during the process. Trend recognizes the importance of deploying generative AI and is collaborating with NVIDIA to develop strategies to secure generative AI to enable long-term business transformations. Shortsighted integration strategies that over prioritize early outcomes can lead to elevated risks of misconfigurations, vulnerabilities or data breaches.

A leading technology provider supporting systems across Germany, Austria and Switzerland, spoke under anonymity: “Organizations around the world that are required to maintain the most stringent data sovereignty and privacy requirements often cannot use public cloud-based AI. Now get the best of both worlds. These offerings are setting a new standard for securing AI implementations, and we are excited to be a part of this journey.”

Trend is focused on understanding infrastructure changes, user behaviors and operational needs to safeguard data against both known and unknown risks at every stage of adoption in a new technological era.

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Trend technology is certified to meet local compliance requirements in 175+ countries, making it a global leader in adapting to security regulations and protecting data sovereignty. Regardless of the customer environment—cloud, SaaS, on-premises, sovereign, private or AI data centers—Trend spans across Amazon Web Services, Microsoft Azure and Google Cloud clouds and containers that can move around within different platforms.

GMI Cloud supports on-demand access to NVIDIA Tensor Core GPUs and is an AI technology partner with Trend Micro. Alex Yeh, CEO at GMI Cloud, said: “We have yet to see anyone introduce security capabilities at this level for AI technology. We value the ability to use the same AI security rules and platform to manage customers’ AI data tools across any environment.”

Trend’s integration with the NVIDIA AI platform — including NVIDIA AI Enterprise, which includes NVIDIA NIM microservices, the NVIDIA Morpheus cybersecurity framework and more — meets use cases in demand today by enterprises, governments and critical infrastructure organizations worldwide that are seeking reliable and effective technology partners to guide AI implementation and operations.

AI for Security

• Trend Vision One Companion, an AI assistant leveraging NVIDIA NIM microservices and accelerated computing, provides proactive threat detection and response, and sensitive data protection even in air-gapped environments, while accelerating productivity and response to adversaries.
• Customers of Trend Vision One platform, leveraging NVIDIA Morpheus,benefit from extended detection and response (XDR) models that can process and classify larger volumes of user data better than ever—for faster threat and anomaly detections. This can help to de-noise and build up fingerprints from typical user behaviors, allowing human analysts to concentrate on the most important events.

Security for AI

• Even the most tightly controlled organizations, like governments and critical infrastructure groups, can use AI without compromising data sovereignty with Trend Vision One Sovereign and Private Cloud integration with NVIDIA NIM microservices.

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Haller.ai Alpha Program Features Enterprise Compliant AI Functionality and Leading UX Design

Anonymous Intelligence Company, a leading computational intelligence, decentralized network and data technology company, focused on leveraging its proprietary suite of AI and privacy enabled products to empower increased confidence in technology for consumers and businesses alike, is pleased to announce that its target acquisition, AI-powered Software As A Service (SAAS) platform, Haller.ai Technologies Inc. (“Haller.ai”), has begun onboarding its first five enterprise beta clients to its Alpha Program. Further, the Company reports that Haller.ai expects to launch its full public beta by September 15, 2023. Photos and video of the closed Alpha program are available on the Haller.ai website (www.haller.ai). The previously announced acquisition of Haller.ai is expected to close on or about Friday July 14, 2023.

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HALLER.AI ALPHA LAUNCH

Haller.ai’s Alpha Program is a watershed milestone and is expected to initially include five selected enterprise level clients. The Alpha Program will allow Haller.ai to optimize its UI/UX platform, with the objective of making compliant enterprise AI (E-AI) simple and effective for all employment levels and workplace permissions.

Tyler Koverko, Haller.ai CEO, commented, “We are extremely excited to launch our Alpha Program which will provide our team with real-time data and feedback as we work to ensureHaller.ai is the most accessible E-AI platform available on the market, while being strategically positioned to capitalize on the explosive megatrend of enterprise AI.”

Global spending on artificial intelligence including software, hardware and services for AI-centric systems will more than double between 2023 and 2026 according to the latest forecasts from IDC. This will see it reach $154bn this year and increase to more than $300bn in 2026.¹

Mr. Koverko continued, “While we work closely with our first Alpha Program portfolio clients, we continue to curate a waitlist of other enterprises and SME’s that have expressed interest in our custom-built, all-in-one dashboard that gives them an easy onramp to the leading business-centric AI tools and solutions.”

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HALLER.AI PUBLIC BETA LAUNCH DATE

Additionally, the Company announces that Haller.ai has committed to a target launch date of September 15, 2023 for the public release of its E-AI platform.

“I am thrilled to have a target date to introduce Haller’s game-changing E-AI platform to the public market,” said Lucas Russell CEO of ANON. “It is important to let the market know we are creating value every day and are willing to force ourselves to prove that value with defined goals. The team at Haller.ai is working round the clock to ensure the platform is a hit with their Enterprise target market at launch.”

NEW HALLER.AI WEBSITE CONTENT LAUNCHED

The Company is also pleased to report that Haller has updated the Haller.ai website which serves as an informative platform providing details about the technology, features of the platform and other relevant information. New additions include screenshots and videos of the alpha platform generating content for enterprise users.

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 NVIDIA announced that it is integrating its NVIDIA AI Enterprise software into Microsoft’s Azure Machine Learning to help enterprises accelerate their AI initiatives.

The integration will create a secure, enterprise-ready platform that enables Azure customers worldwide to quickly build, deploy and manage customized applications using the more than 100 NVIDIA AI frameworks and tools that come fully supported in NVIDIA AI Enterprise, the software layer of NVIDIA’s AI platform.

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“With the coming wave of generative AI applications, enterprises are seeking secure accelerated tools and services that drive innovation,” said Manuvir Das, vice president of enterprise computing at NVIDIA. “The combination of NVIDIA AI Enterprise software and Azure Machine Learning will help enterprises speed up their AI initiatives with a straight, efficient path from development to production.”

NVIDIA AI Enterprise on Azure Machine Learning will also provide access to the highest-performance NVIDIA accelerated computing resources to speed the training and inference of AI models.

“Microsoft Azure Machine Learning users come to the platform expecting the highest performing, most secure development platform available,” said John Montgomery, corporate vice president of AI platform at Microsoft. “Our integration with NVIDIA AI Enterprise software allows us to meet that expectation, enabling enterprises and developers to easily access everything they need to train and deploy custom, secure large language models.”

With Azure Machine Learning, developers can easily scale applications, from tests to massive deployments, while using Azure Machine Learning data encryption, access control and compliance certifications to meet security and compliance with their organizational policies requirements. NVIDIA AI Enterprise complements Azure Machine Learning with secure, production-ready AI capabilities and includes access to NVIDIA experts and support.

NVIDIA AI Enterprise includes over 100 frameworks, pretrained models and development tools, such as NVIDIA RAPIDS for accelerating data science workloads. NVIDIA Metropolis accelerates vision AI model development, and NVIDIA Triton Inference Server™ supports enterprises in standardizing model deployment and execution.

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Availability
The NVIDIA AI Enterprise integration with Azure Machine Learning is available in a limited technical preview in the NVIDIA community registry.

NVIDIA AI Enterprise is also available on Azure Marketplace, providing businesses worldwide with expanded options for fully secure and supported AI development and deployment.

Additionally, the NVIDIA Omniverse Cloud platform-as-a-service is now available on Microsoft Azure as a private offer for enterprises. Omniverse Cloud provides developers and enterprises with a full-stack cloud environment to design, develop, deploy and manage industrial metaverse applications at scale.

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FlowX.AI, the world’s first AI enterprise application modernisation platform for large financial services organizations,announces that it has raised a $35 million Series A funding round.

The round was led by London-based Dawn Capital, Europe’s leading specialist B2B software investor, with existing investors PortfoLion, SeedBlink, and DayOne Capital participating. FlowX.AI will use the funds to fuel further product innovation and pursue global expansion.

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The company was launched in 2021 by three co-founders Ioan Iacob, Radu Cautis and Serban Chiricescu, and within two years has secured partnerships with large system integrators and driven hundreds of millions of dollars in ROI for leading financial institutions across Europe. Major clients already include leading European banking group OTP, which has $85 billion in AUM, the largest bank in South Eastern Europe, Banca Transilvania, as well as one of the largest banking groups in Central Europe, Alpha Bank.

Today the business has a team of almost 50 people across Europe and USand is embarking on rapid expansion with a view to becoming the global go-to solution in the space of enterprise application modernization.

Ioan Iacob, FlowX.AI Founder and Chief Executive Officer, said: For a long time enterprises have been promised useful tools for modernizing their business. Many promises have been made over the years related to speed of digital product development, no code / low code, citizen programmers, and many others. But these promises have not been kept. Instead, enterprises got a thousand disjointed point solutions and ended up captive to inflexible solutions, vendors, and proprietary technologies. FlowX.AI addresses this problem. We are proud our platform has been consistently enabling customers to accelerate application modernization in an unprecedented way: what used to take years is now being done in weeks. We’ve now truly proven our product and are ready to bring FlowX.AI to even more customers. Our Series A funding will allow us to bring to market a number of innovations that will bring AI to enterprise on a large scale, and to expand our geographic footprint.”

A best-in-class solution to a trillion-dollar problem

FlowX.AI was originally founded as an application modernization platform to solve a trillion-dollar problem for financial institutions: how to quickly build mission-critical modern digital solutions on top of complex legacy systems.

Until now, large banks and enterprises operating on legacy infrastructure have been spending huge sums on maintaining old systems while creating new apps and products. To put this into context, companies worldwide spent almost $2 trillion on digital transformation projects last year and software errors cost the US economy alone more than $2 trillion. These projects are not only expensive; they are often slow, require intense tech talent input, and can go significantly wrong when risky “rip and replace” processes on core legacy systems are attempted. (For example, one UK retail bank was recently fined for failings that occurred as it migrated from legacy to new software – a migration that saw 1.9 million customers locked out of their accounts for five days).

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Evgenia Plotnikova, General Partner at Dawn Capital, said: “Tech innovation continues to accelerate, yet the businesses that underpin our everyday lives are running on century-old technology. We can use our phones to get AI to generate a travel itinerary in seconds, but it takes years for our banks to offer new mortgage products. Enterprise leaders want to rapidly increase the pace of change, and FlowX.AI offers an elegant and intuitive solution. It abstracts away horse-and-carriage legacy infrastructure, and ensures users are only ever exposed to a spaceship experience. Ioan and his team are further proof that tech innovation is on fire across Europe, and we are thrilled to be supporting them as FlowX.AI becomes a truly global player.”

The platform’s capabilities mean that large enterprises can develop within weeks, rather than years, modern digital capabilities which are essential for them to remain competitive and even to survive. New products built on the FlowX.AI technology require minimal maintenance going forward, helping future-proof tech stacks and budgets, and reducing the cost of infrastructure.

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Xiao-I Corporation, a leading cognitive artificial intelligence (AI) enterprise in China, announced that it has entered into a strategic partnership with Guizhou Chinadatapay Network Technology Co., Ltd. (Chinadatapay)  to fuel Xiao-I’s growth as a global leader in cognitive intelligence by combining Xiao-I’s cognitive intelligence capabilities and Chinadatapay’s big data expertise.

Data, algorithms, and computing power are the three core elements in the development of AI. The AI industry is rapidly expanding its applications, creating a growing demand for large amounts of data in various vertical domains. Data serves as the foundation for AI algorithms, much like building blocks are essential for constructing a sturdy structure. Big data and AI algorithms work hand in hand to create a robust ecosystem of AI-powered solutions that empower and transform numerous industries.

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This partnership aims for Xiao-I and Chinadatapay to demonstrate the power of integrating massive data sets with state-of-the-art algorithms and accelerate the advancement of industry-specific, big data-based large-scale models through intelligent data analysis, model training, and application development enabled by Xiao-I’s cognitive intelligence technology and Chinadatapay’s extensive data resources.

Chinadatapay, a leader in China’s domestic data industry, provides consistently innovative data security solutions and has connected data from across over 50 industries and enterprises with nearly 300 successful deployments. With the support of Chinadatapay’s big data capabilities, Xiao-I aims to further expand its technology leadership and broaden its market applications.

Mr. Hui Yuan, Chairman and Chief Executive Officer of Xiao-I, commented, “We are thrilled about our partnership with Chinadatapay. As we have already established a strong track record in implementing AI-powered solutions across multiple sectors including finance, government, healthcare, education, and transportation, we now look ahead to having this partnership empower us in driving digital transformation across numerous industries and fortifying our position as a leader in the global cognitive intelligence market by leveraging cognitive intelligence technology and big data.”

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Telecoms Giant Adopts NVIDIA AI to Process Data More Efficiently, Optimize Service-Vehicle Routing, Create Digital Twins and Avatars

AT&T Corp. and NVIDIA announced a collaboration in which AT&T will continue to transform its operations and enhance sustainability by using NVIDIA-powered AI for processing data, optimizing service-fleet routing and building digital avatars for employee support and training.

AT&T is the first telecommunications provider to explore the use of a full suite of NVIDIA AI offerings. This includes enhancing its data processing using the NVIDIA AI Enterprise software suite, which includes the NVIDIA RAPIDS Accelerator for Apache Spark; enabling real-time vehicle routing and optimization with NVIDIA cuOpt; adopting digital avatars with NVIDIA Omniverse Avatar Cloud Engine and NVIDIA Tokkio; and utilizing conversational AI with NVIDIA Riva.

“We strive each day to deliver the most efficient global network, as we drive towards net zero emissions in our operations,” said Andy Markus, chief data officer at AT&T. “Working with NVIDIA to drive AI solutions across our business will help enhance experiences for both our employees and customers.”

“Industries are embracing a new era in which chatbots, recommendation engines and accelerated libraries for data optimization help produce AI-driven innovations,” said Manuvir Das, vice president of Enterprise Computing at NVIDIA. “Our work with AT&T will help the company better mine its data to drive new services and solutions for the AI-powered telco.”

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The Data Dilemma

AT&T, which has pledged to be carbon neutral by 2035, has instituted broad initiatives to make its operations more efficient. A major challenge is optimizing energy consumption while providing network infrastructure that delivers data at high speeds.

AT&T processes more than 590 petabytes of data on average a day. That is the equivalent of about 6.5 million 4K movies or more than 8x the content housed in the U.S. Library of Congress if all its collections were digitized.

Telecoms aiming to reduce energy consumption face challenges across their operations. Within networks, the radio access network (RAN) consumes 73% of energy, while core network services, data centers and operations use 13%, 9% and 5%, respectively, according to the GSMA, a mobile industry trade group.

AT&T first adopted NVIDIA RAPIDS Accelerator for Apache Spark to capitalize on energy-efficient GPUs across its AI and data science pipelines. This helped boost its operational efficiency across everything from training AI models and maintaining network quality and optimization, to reducing customer churn and improving fraud detection.

Of the data and AI pipelines targeted with Spark-RAPIDS, AT&T saves about half of its cloud computing spend and sees faster performance, while enabling reductions in its carbon footprint.

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Enhanced Field Dispatch Services

AT&T, which operates one of the largest field dispatch teams to service its customers, is currently testing NVIDIA cuOpt software to enhance its field dispatch capabilities to handle more complex technician routing and optimization challenges.

Routing requires trillions of computations to factor in a variety of factors, from traffic and weather conditions to customer change of plans or a technician’s skill level, where a complicated job might then require an additional truck roll.

In early trials, cuOpt delivered solutions in 10 seconds, while the same computation on x86 CPUs took 1,000 seconds. The results yielded a 40% reduction in cloud costs and allowed technicians to complete more service calls each day. NVIDIA cuOpt allows AT&T to run nearly continuous dispatch optimization software by combining NVIDIA RAPIDS with local search heuristics algorithms and metaheuristics such as Tabu search.

Pleasing Customers, Speeding Network Design

As part of its efforts to improve productivity for its more than 150,000 employees, AT&T is moving to adopt NVIDIA Omniverse ACE and NVIDIA Tokkio, cloud-native AI microservices, workflows and application frameworks for developers to easily build, customize and deploy interactive avatars that see, perceive, intelligently converse and provide recommendations to enhance the customer service experience.

For conversational AI, the carrier also uses the NVIDIA Riva software development kit and is examining other customer service and operations use cases for digital twins and generative AI.

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Detect Technologies, a leading AI-based SaaS enterprise, announced that it raised $28 Million in primary and secondary funding. Detect Technologies provides cloud-based applications to industries to automate and enhance visibility of industrial risks and improve productivity. Prosus Ventures led this round with significant participation from existing investors Accel and Elevation Capital, and continued support from other existing investors—Shell Ventures, Bharat Innovation Fund and Bluehill Capital.

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Detect Technologies has grown rapidly to become a leading industrial AI and SaaS enterprise. The company will utilize this capital to further expand and strengthen its sales and operations across international markets in North America and Europe. Operating in the fast-evolving space of AI, the company has also allocated funds for enriching its product suite.

“Our vision is to provide actionable intelligence to help industries mitigate their risks while achieving their business objectives sustainably. I am happy that our customers are reporting fewer HSE incidents and reduced unplanned downtimes with increased productivity levels. We are grateful for the confidence bestowed upon us by our investors, and look forward to accelerating our market expansion,” said Daniel Raj David, CEO and Co-founder of Detect Technologies.

Ashutosh Sharma, Head of Investments, India, at Prosus Ventures, shared, “Frontline worker safety and asset productivity are massive unsolved global problems, with significant financial and ESG-related implications. Detect team has done a phenomenal job in building a machine learning based, plug & play cloud solution to automate detection of safety violations on a near real-time basis, which is reflected in their market leadership, quality of logos and the recent as well as expected scale up in the business. At Prosus Ventures, we are committed to back SaaS companies building truly unique solutions to solve real world problems at scale. We are excited to participate in Detect’s next phase of growth and work closely with the founders to support their ambition to become global leaders in industrial automation solutions.”

Industries are actively exploring comprehensive solutions to automate their risk identification and reporting functions. Detect’s client portfolio is growing globally across various industrial sectors. Increased visibility and actionable insights are helping organizations reduce their non-compliance to boost productivity and throughput.

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“The industrial sectors have historically been challenged with lack of real-time data and insights to mitigate safety issues and loss of revenue from unplanned shutdowns. Detect has been at the forefront of solving these issues in very large installations for very large customers, globally. At Accel, we continue to remain excited with the strides that the company has made in the year since we partnered with them and continue to deepen this relationship,” added Barath Shankar Subramanian, Partner, Accel.

Detect will be expanding their customer base in North America. The company has established a presence in Houston, TX as their North American headquarters and have signed multi-year global contracts with Fortune 500 industries.

Mridul Arora, Partner, Elevation Capital, shared, “We’re delighted to further cement our relationship with Detect in the next phase of their journey. Not only do they have a world-class tech platform, they have also supplemented it with a strong execution muscle. Their enterprise wide partnerships with Shell and multiple other global conglomerates are testimony to the quality of their solution and the high regard the industry holds them in. We are sure that the best is yet to come for Daniel, Tarun and team Detect.”

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Just 21% say the quality of data on the reach and effectiveness of advertising campaigns is excellent

New research from Alfi , an AI enterprise SaaS advertising platform, shows senior advertising executives are forecasting strong growth in advertising budgets over the next 12 months with 24% predicting dramatic growth.

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The global study among senior executives including CEOs found 61% are more modest and are predicting slight growth while just 15% believe advertising budgets will remain at around the same level as today.

Growing budgets for advertising mean the executives questioned in the UK, US, France, Germany, Canada, Australia are increasingly looking for better ways to measure the reach and effectiveness of campaigns.

Alfi’s study shows executives are generally happy with the campaign data available but just 21% rate it as ‘excellent’ while 65% describe it as ‘good’. However, 14% say it is average or poor.

That is driving increased interest in the use of QR codes in Digital Out of Home (DOOH) advertising, which enables advertisers to measure exactly how impactful their campaigns are through first-party data which is accessible instantly.

More than a third (34%) of senior executives believe the importance of QR codes in advertising will increase dramatically over the next two years while 56% believe it will increase slightly.

“The global advertising industry is going from strength to strength after recovering strongly in 2021 to hit a new record high** and the indications are that it will continue in 2022 and beyond,” said Peter Bordes, Interim CEO, Alfi. “Increased spending should mean increasing the focus on measurement and data, which explains the growing use of technology and QR codes in particular.”

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The study found all the senior executives questioned agree that the use of QR codes in advertising will increase dramatically over the next two years with 50% strongly agreeing with the view.

Bordes concluded: “Throughout the industry we can expect a higher focus on data-driven insights by expanding advertising capabilities, analytical sophistication and delivering it all seamlessly over multiple devices – thus leading to not only confident purchase behaviours but greater one-to-one connections with consumers.”

Methodology

*Commissioned by Alfi, PureProfile, a global research company, conducted 101 interviews amongst senior advertising professionals including CEOs from across the U.S., U.K., Canada, Australia, France, Germany, and the UAE. Interviews were conducted online in February 2022.

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• Global Senior Advertising Executives Cite Automation, Real-time Measurement and Sophisticated Targeting as Key Benefits 

The use of automation and machine learning technology to purchase and display digital ads to segmented audiences in real time is set to increase dramatically over the next three years, according to new research from Alfi, an AI enterprise SaaS advertising platform. Responses revealed that 49% of senior advertising executives expect spending on programmatic advertising to increase dramatically over the next three years, and 43% believe there will be a ‘slight’ increase in expenditure.

“Huge advances in technology and a growing focus on more precision targeting of audiences and evaluation is driving growth in programmatic advertising, making it one of the most exciting and dynamic developments in marketing,” said Paul Pereira, CEO, Alfi. “We are seeing more inquiries from clients and prospects in this part of our business and expect it to be a strong growth area for us.”

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When asked to pick the three most important benefits of programmatic advertising, 94% of survey respondents cited automation. Campaign creation, placements and even ad creative can be configured ahead of time in an automated manner, allowing focus on high level strategy and bid management (Google Ads bid management is the process of raising and lowering keyword bids to make the most of a Google Ads budget).

Seven out of ten (72%) chose real-time measurement as a key benefit of programmatic advertising, followed by 67% who consider sophisticated targeting as an additional benefit. Lastly, nearly half of respondents (46%) selected return on ad spend as one of their three key benefits.

“Advertisers are demanding improved performance and capabilities from the ad technology they utilize. With programmatic advertising, content publishers and brand owners can find and use the right messages to make a viewer’s digital out-of-home advertising experience more valuable and effective,” added Pereira.

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Alfi provides data rich reporting functionality that informs advertisers that someone viewed their ad, the number of views, and each viewer’s reaction to the ad. Advertisers are increasingly demanding improved performance and capabilities from the ad technology they utilize. Alfi delivers for advertisers with analytics, accountability, transparency, proof of engagement and actual impressions.

Methodology

Commissioned By Alfi, PureProfile, a global market research company, conducted 100 interviews amongst senior advertising professionals working in the digital advertising industry. Fieldwork was conducted in June 2021. The 100 interviews were split across five markets as follows: U.S., U.K, France, Germany, and Asia.

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