Large Language Models Archives - AiThority

Expedera NPUs Run Large Language Models Natively on Edge Devices

PRNewswire — Mon, 08 Jan 2024 14:49:07 +0000

Expedera NPU IP adds native support for LLMs, including stable diffusion

Expedera, Inc, a leading provider of customizable Neural Processing Unit (NPU) semiconductor intellectual property (IP), announced that its Origin NPUs now support generative AI on edge devices. Specifically designed to handle both classic AI and Generative AI workloads efficiently and cost-effectively, Origin NPUs offer native support for large language models (LLMs), including stable diffusion. In a recent performance study using the open-source foundational LLM, Llama-2 7B by Meta AI, Origin IP demonstrated performance and accuracy on par with cloud platforms while achieving the energy efficiency necessary for edge and battery-powered applications.

LLMs bring a new level of natural language processing and understanding capabilities, making them versatile tools for enhancing communication, automation, and data analysis tasks. They unlock new capabilities in chatbots, content generation, language translation, sentiment analysis, text summarization, question-answering systems, and personalized recommendations. Due to their large model size and the extensive processing required, most LLM-based applications have been confined to the cloud. However, many OEMs want to reduce reliance on costly, overburdened data centers by deploying LLMs at the edge. Additionally, running LMM-based applications on edge devices improves reliability, reduces latency, and provides a better user experience.

“Edge AI designs require a careful balance of performance, power consumption, area, and latency,” said Da Chuang, co-founder and CEO of Expedera. “Our architecture enables us to customize an NPU solution for a customer’s use cases, including native support for their specific neural network models such as LLMs. Because of this, Origin IP solutions are extremely power-efficient and almost always outperform competitive or in-house solutions.”

Expedera’s patented packet-based NPU architecture eliminates the memory sharing, security, and area penalty issues that conventional layer-based and tiled AI accelerator engines face. The architecture is scalable to meet performance needs from the smallest edge nodes to smartphones to automobiles. Origin NPUs deliver up to 128 TOPS per core with sustained utilization averaging 80%—compared to the 20-40% industry norm—avoiding dark silicon waste.

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Nabla Raises $24 Million in Series B to Fuel Expansion of its Ambient AI Assistant to Transform Care Delivery

PRNewswire — Fri, 05 Jan 2024 13:55:15 +0000

New financing, led by Cathay Innovation, will be used to expand capabilities and adoption of Nabla Copilot, the leading ambient AI assistant designed to alleviate the administrative burden placed on providers, and reduce clinician burnout.

Nabla, the leading ambient AI assistant for practitioners, announced the initial close of a $24M Series B funding round led by Cathay Innovation, with participation from ZEBOX Ventures. This close brings Nabla’s total funding to over $43M. This investment enables Nabla to boost expansion across U.S. healthcare systems and continue transforming the way providers deliver care with its ambient AI assistant.

Clinicians have deemed managing the electronic health record (EHR) the biggest stressor in patient care. Clinical documentation is a time-intensive task that adds six hours per week of EHR work for practitioners outside of standard time spent with patients. With its AI-powered note-generation capabilities, medical coding recognition, and smooth EHR integrations, Nabla Copilot is saving clinicians valuable time so they can focus on caring for their patients. Providers claim the notes are remarkable for their precision, with only 5% requiring adjustments.

In addition to nationwide expansion, the Series B funding will allow the company to fuel its ambition to build the most intuitive and reliable ambient AI that can support clinicians across the clinical spectrum up until medical decision support. The investment will also contribute to Nabla’s commitment to improving health equity with the launch of additional language options for Nabla Copilot.

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“This fundraise allows us to continue delivering on our vision to build the premier ambient AI assistant that will allow clinicians to experience the joy of practicing again,” said Alex Lebrun, co-founder and CEO, Nabla. “Clinical documentation is only the beginning for Nabla. Health systems are looking to leverage the AI opportunity to support their healthcare teams in many different aspects; we are getting ready to be there every step of the way.”

“Nabla’s exceptional team understands clinicians’ pain points and has the deep, technical expertise needed to bring cutting-edge AI and LLM technologies to the healthcare industry and best support practitioners shifting back to a patient-centric approach,” said Jacky Abitbol, Managing Partner, Cathay Innovation. “The company has demonstrated impressive early traction in both Europe and the US, and we look forward to putting our global network and resources to work to help Nabla expand further and solidify their position at the heart of new AI medical applications.”

Less than ten months since its official launch, Nabla reports three million consultations are conducted through Nabla Copilot annually, and more than 20,000 providers have adopted the ambient AI assistant, providing enthusiastic reviews that reflect its impact.

“Prior to using Nabla, It was harder to complete the office notes same because of the time constraint. Since, I started using Nabla, I am able to complete my notes the same day as the office visit and many times I am able complete the notes after seeing every patient. This is a stress reliever for me. Now, it is harder to imagine life without Nabla.” – Dr. Raghu K
“With Nabla, I am finally getting my weekends back. What took 8-10 hours now takes maybe 3-4 hours. Better yet, because I no longer need to be a scribe, I get to actually be a psychologist and focus on my patient! After only a couple of months, I can’t imagine my practice without Nabla.” – M. Tursich, PhD, Psychologist

Nabla also prides itself on being scalable, having the capacity to cater to the unique needs of both small practices and large health systems with 10,000+ clinicians. To deliver its solution to a broader user base, Nabla has partnered with EHR platforms that are increasingly looking to embed AI solutions like Nabla Copilot, which provide smooth integrations and streamline workflows while prioritizing privacy, accuracy, and speed.

Founded in 2018, Nabla has proprietary Large Language Models (LLM) and Speech-to-Text (STT) technologies built by former Facebook AI Research engineers. Nabla’s advisors include AI and medical experts, including the godfather of AI, Yann LeCun; Dr. Megan Mahoney, Professor and Chair at UCSF Department of Family and Community Medicine; Dr. Haipeng (Mark) Zhang, Associate Program Director of the Clinical Informatics and Innovation Fellowship at Brigham and Women’s Hospital; and Dr. Andrew Lundquist, Chief Medical Officer of the Mankato Clinic.

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Hatz AI Raises $2.5 Million to Enable MSPs to Deliver AI-as-a-Service

PRNewswire — Fri, 05 Jan 2024 08:09:58 +0000

Hatz AI Launching the First Platform Built for MSPs to Deliver AI to their Customers

Hatz AI, Co-Founded by Jimmy Hatzell and serial entrepreneur Aidan Kehoe, publicly launches, announcing a $2.5 million seed funding round led by Vestigo Ventures. Hatz AI enables MSPs to build an AI-as-a-Service business with AI applications, AI agents, vector storage, and custom Large Language Models (LLMs) powered by an LLM Ops engine and managed through a multi-tenant platform.

The company is set to make their products generally available in March, aiming to empower Managed Service Providers (MSPs) worldwide to build AI-as-a-Service Businesses.

“MSPs will play a key role in the global transition to AI,” stated Jimmy Hatzell, CEO of Hatz AI. “I think every MSP will soon manage and own their own LLMs, and provide similar services for their customers. We are building a system of record for MSPs to manage that transition and a system of engagement to operationalize the technology.”

“The platform allows PCH Technologies to provide AI-as-a-Service in an easy to use format that is secure and customizable that will create a competitive advantage to our clients by accelerating the adoption of AI in each individual business,” said Tim Guim, CEO of PCH Technologies and Hatz AI MSP Launch Partner.

The funding round, led by Vestigo Ventures, features a prestigious group of investors including Alex Weiss from ClearSky, Matt Higgins from Shark Tank and RSE Ventures, Jim Brown from Long Ridge, Jon McNeill, founder of DVx Ventures and former president of Tesla and former COO of Lyft, Iqram Magdon-Ismail, musician and Co-founder of Venmo, and Aidan Kehoe, Nadia Partners.

“MSPs are entrepreneurial, customer-obsessed, and essential to the adoption of innovative technologies by the information economy. These are the kind of folks we love working with at Vestigo and we are thrilled to partner with Jimmy and Aidan to build the first MSP-native customer AI platform.” said Frazer Anderson, Principal at Vestigo Ventures. “These entrepreneurs were made for this business and we are proud to support them on what we’re sure will be a joyous journey.”

Hatz AI is launching its first generally available products in March of 2024. The first release will include both an AI Application Builder and Organizationally Managed AI Assistants. Later this year Hatz AI will make their AI Phone Customer Service Agents generally available, as well as the ability to train and manage vector databases and custom LLMs inside the multi-tenant platform.

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Nabla Commits to Health Equity With Nabla Copilot Spanish Language Option

PRNewswire — Wed, 20 Dec 2023 11:35:38 +0000

Almost half of US Latinos point to communication problems as a contributor to poorer health outcomes relative to other patient populations.

Nabla, the leading Ambient AI assistant for practitioners, announced usage metrics of its recently launched Spanish language option for its Copilot ambient note generator. As the first AI scribe to deploy Spanish translation functionality in July 2023, Nabla experienced rapid adoption among clinicians across all medical specialties, especially with psychiatrists, psychologists, and psychotherapists, who account for almost 50% of total users. Within the first four months of implementation, 10% of Nabla clinicians are using Spanish language to support culturally responsive care.

Nearly a third of US Latinos are not fluent in English, posing a unique challenge for healthcare professionals. Struggles to communicate effectively create a perception of poor care and diminished health outcomes while sowing confusion, frustration, and distrust. Physicians with high levels of Spanish proficiency are better able to address concerns, explain health conditions, and empower patients, allowing more responsive care and superior care quality. With 81% of Spanish language-dominant adults preferring to see a Spanish-speaking provider, physicians must find culturally responsive methods for serving the Latino community.

“Millions of Americans forgo receiving health care due to language barriers, and the situation will grow more dire if nothing is done,” said Dr. Megan Mahoney, Professor and Chair at UCSF Department of Family and Community Medicine and Nabla advisory board member. “Nabla has stepped up to close the gap in care with its Spanish language version ambient AI. It is extremely user-friendly and intuitive to use so that doctors can deliver the best care possible for their non-English speaking patients.”

With Nabla Copilot, physicians can focus on caring for their Spanish-speaking patients while Nabla’s generative AI ambiently produces comprehensive clinical notes in real-time in the background. The Spanish language option within Nabla Copilot is simple to switch on. Practitioners simply choose “Spanish” before the start of a consultation to indicate the language in which it will take place, and Copilot uses its powerful ambient AI to create detailed clinical notes in English and patient instructions in Spanish during consultations with Spanish-speaking patients.

The Spanish language represents up to 14% of Nabla physician consultation notes in some states, including California and Florida. Nabla helps doctors provide better care for Spanish-speaking patients by shifting attention away from onerous manual documentation. Based on user trends and the most spoken languages in the US, Nabla plans to expand its language versions in 2024, including Mandarin, Russian and Arabic.

“By enabling physicians to focus on patient communication and care rather than clinical notes, we hope to strengthen the relationships between Latino patients and their doctors while minimizing physician burnout,” said Alex Lebrun, Co-Founder and CEO, Nabla. “In a multicultural country like the United States, it’s so important to meet patients where they are. That means using AI to embrace different languages and cultures in healthcare settings, moving us closer to achieving true health equity.”

Built by ex-Facebook AI Research engineers and backed by iPod inventor Tony Fadell and AI godfather Yann LeCun, Nabla uses proprietary technology and data from large language models like GPT-4, as well as feedback from its quickly-expanding network of clinicians, to organize subjective, objective, assessment, and plan (SOAP) notes. Nabla does not store data, complying with the highest levels of confidentiality and privacy regulations. Available on mobile, desktop, and API, Nabla’s AI innovations continually improve its user experience, resulting in better care for patients across diverse populations while alleviating physician burnout.

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

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Hitch Interactive Unveils Generative AI Within Programmable NFTs, Forging a New Era for Web3

Business Wire — Wed, 20 Dec 2023 04:48:31 +0000

Combining the capabilities of LLMs with the immutability and decentralization of NFTs, Hitch Interactive aims to lead a new era of decentralized AI applications on Web3

Hitch Interactive, the company connecting innovators and providing immersive experiences in AI, robotics, fintech, and the Metaverse, announced the integration of large language models (LLMs) with its Immutable Miniverse NFTs. The service is called AI in Immutable Miniverse (AIIM) and it offers a fresh new phase of utility and functionality for NFTs.

Earlier in 2023, Hitch Interactive pioneered the new Immutable Miniverse Format on the Hitch1999 platform, where immutable information can be embedded into programmable NFTs and integrated with existing social networks. The IMF standard enables users to embed a wide range of information, including information that can be used to guide LLMs to have intelligent conversations with humans. The limited edition Yummy Hamo collection of curated gourmet miniverses includes this generative AI functionality.

With this new AI offering for NFTs on the IMF standard, owners and viewers can now start conversing within the embedded NFTs. When a viewer selects a Yummy Hamo NFT on the Hitch1999 site, they can then enter a variety of questions about the NFT’s embedded information. The LLM deployed by Hitch Interactive is also completely private. No user information will be recorded or shared with the company or with a third party. The perimeter of the knowledge used for the private conversation is limited by the embedded information in the NFT.

“AI technologies are rapidly evolving and we’re seeing extraordinary breakthroughs thanks to modern GPT models. However, most GPT products have been centralized, and their answers to users’ questions are based on an averaged inference of general knowledge that the models have been trained on, online,” said Allen Yang, Hitch Interactive co-founder and Top 100 Faculty Innovator at UC Berkeley. “AI in Immutable Miniverse (AIIM) is the counter-balance to such centralized public AI services and offers a perfect union between modern LLM technologies and the future of private and decentralized Web3 applications.”

Hitch Interactive’s unique AI in Immutable Miniverse (AIIM) service adds unique characteristics to existing GPT services:

The embedded information on which the LLM conversation is based is immutable, individualized, and decentralized.
The conversation with such embedded information preserves privacy. It does not need to reference any public GPT services.
Hitch Interactive is committed to decentralized AI on Web3. Future iterations will allow users to run their LLM models locally on the users’ own computers.

The integration of NFTs with the IMF standard and LLMs paves the way for a future release of the Hitch Mint product:

Hitch Mint will allow users to embed any personalized information into NFTs, not just limited to the first collection of Yummy Hamo NFTs.
Hitch Mint will allow users to deploy a small model LLM service on a local computer. This ensures the AI conversations to be fully decentralized and private.

Combining the two key features above, Hitch Interactive will fully decentralize the embedding of knowledge and deployment of the LLM service and ensure its ultimate privacy, never leaving the user’s own computer.

“LLMs and blockchain are two of the most exciting technologies on the market,” said Crystal Tang, co-founder and CEO of Hitch Interactive. “As the first NFT collection that bears the capabilities of both, Yummy Hamo NFT owners will be able to use the Hitch1999 site to open up many future applications and preserve the rich knowledge of human users, while their privacy is absolutely preserved.”

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

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NRI Secure Launches Security Assessment Service “AI Red Team,” for Systems Utilizing Generative AI

Business Wire — Mon, 18 Dec 2023 13:22:57 +0000

NRI SecureTechnologies, Ltd. (NRI Secure), a leading global provider of cybersecurity services, launched a new security assessment service, “AI Red Team,” targeting systems and services using generative AI.

Vulnerabilities and Risks of AI

In recent years, the use of generative AI, especially Large Language Models (LLMs)¹, has continued to grow in many fields. While expectations for LLMs have increased, LLMs have also highlighted the existence of vulnerabilities, such as prompt injection² and prompt leaking³, as well as hallucination⁴, sensitive information disclosure, inappropriate content generation, and bias risk⁵ (see Figure). Companies utilizing LLM technologies need to be aware of these issues specific to generative AI and apply appropriate countermeasures. For this reason, the importance of security assessment specific to generative AI is now being called for, and various countries are beginning to mention the need for assessment by independent outside experts.

Overview and Features of this Service

In this service, NRI Secure’s experts conduct simulated attacks on actual systems to evaluate, from a security perspective, AI-specific vulnerabilities in LLM-based services and problems in the overall system, including peripheral functions linked to the AI.

AI does not function as a service by itself; rather, it constitutes a service by linking with its peripheral functions. It is necessary not only to identify the risk of LLM alone, but also to evaluate it from a risk-based approach, which is to say, “If the risk becomes apparent, will it have a negative impact on the system or end-users?”

Therefore, this service provides a two-stage assessment: Identifying risks in the LLM alone, and evaluating the entire system, including the LLM. The results of the assessment are summarized into a report, detailing the problems found and recommended mitigation measures.

The two main features of this service are:

1. It performs efficient, comprehensive, and high-quality assessments using our proprietary automated tests and expert investigations

NRI Secure has developed its own assessment application that can be automatically tested by employing DAST⁶ for LLM. Using this application, vulnerabilities can be detected efficiently and comprehensively. Furthermore expert engineers in LLM security perform manual assessment to identify use-case-specific issues that cannot be covered by automated testing, and also investigate detected vulnerabilities in depth.

2. It assesses actual risk across the entire system and reduces countermeasure costs

Generative AI has the nature of determining its output probabilistically. Additionally, because it is difficult to completely understand internal operations, there are limits to how much of and how many vulnerabilities can be uncovered through a partial system evaluation. NRI Secure combines its long-accumulated expertise in security assessment to comprehensively assess the entire system and determine whether AI-caused vulnerabilities are apparent or not. This service also supports “OWASP Top10 for LLM,”⁷ which is difficult to deal with only by evaluating AI-specific problems.

If the AI itself appears to have vulnerabilities, the system will then evaluate the actual degree of risk from the perspective of the entire system, and can propose alternative countermeasures to avoid having to deal with vulnerabilities in the AI itself, which would be difficult to implement. As a result, the cost of countermeasures can be expected to be reduced.

NRI Secure is developing the “AI Blue Team” service to support continuous security measures for generative AI, which will be a counterpart to this service, and will conduct regular monitoring of AI applications. The service is scheduled to launch in April 2024, and we are currently looking for companies that can participate in the PoC (Proof of Concept).

NRI Secure will continue to contribute to the realization of a safe and secure information system environment and society by providing a variety of products and services that support information security measures of companies and organizations.

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

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Delphina Raises $7.5 Million to Build Copilot for Data Science

GlobeNewswire — Mon, 18 Dec 2023 10:24:21 +0000

Delphina, an LLM-powered copilot for data science, announced the closing of a $7.5 million seed round co-led by Costanoa Ventures and Radical Ventures with participation from 20+ prominent angel investors, including Stanford professor Fei-Fei Li. The funding will be used to expand its team and accelerate product development.

Delphina will do for data science and predictive AI what GitHub Copilot is doing for software engineering. It uses large language models (LLMs) to accelerate the routine, time-consuming tasks in predictive AI workflows, reducing them from months to days. By identifying and preparing relevant data, training models and deploying pipelines, the Delphina platform makes it dramatically faster and simpler for any enterprise – even those without dedicated AI teams – to productize common AI business use cases, like forecasting, personalization, pricing or fraud detection, to name a few.

The goal is to close the gap preventing businesses from using AI in more core business processes. According to Deloitte, 94% of business leaders agree that AI is critical to success over the next five years; however, 41% of business leaders cite slowdowns due to gaps in technical skills. By automating time-consuming tasks, Delphina will enable data science teams to build and deploy better AI models, faster.

even the most advanced data science teams are mired in painstaking work that AI is better suited to do,” said Jeremy Hermann, Co-founder of Delphina. “With the recent advancements in large language models, it is only now possible to massively improve data science productivity so the world gets the value it wants out of AI faster.”

Many existing tools focus on MLOps (machine learning operations), but the creation and tuning of predictive AI models themselves remains labor-intensive and under-served. The few tools that do target model building favor low-code approaches, whereas Delphina is optimizing for technical builders who code.

“There’s been a boom in AI tools in recent years, but building valuable models and putting them into production has not gotten easier,” said Tony Liu of Costanoa Ventures. “Delphina is taking a very different approach to the problem by using LLMs in a way that was not previously possible. Jeremy and Duncan understand the space better than anyone else.”

“Large language models promise to automate and transform broad swaths of traditional data science and predictive AI workflows, just like we are seeing them do with software engineering,” said Rob Toews of Radical Ventures. “Venture capitalists like to talk about ‘founder/market fit.’ I can’t imagine a stronger founding team than Duncan and Jeremy to tackle this problem, as two top data science leaders who have been at the forefront of this field for years.”

Delphina is deployed with five design partners. They expect full commercial availability in the second half of 2024.

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

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Coveo Enterprise Customers See Impressive Results from Generative Answering – Now Generally Available

GlobeNewswire — Mon, 18 Dec 2023 09:46:27 +0000

Coveo, a leading provider of enterprise AI platforms that enable individualized, connected, and trusted digital experiences at scale with semantic search, AI recommendations, and GenAI answering, announced that Coveo Relevance Generative Answering™ will be generally available starting December 15^th, after several months of Beta testing with several enterprises. The company continues to add to its roster of customers signing order forms for Coveo’s enterprise-ready Relevance Generative Answering™, with large enterprises like SAP Concur.

Earlier this year, Coveo launched the Relevance Generative Answering Design Partner Program working with customers, including Informatica, Synopsys, VMware, Xero, and Zoom Communications. The early results are significant, driving additional business value for our early adopters:

Xero has seen the average customer search time decrease approximately 40% and search sessions requiring additional CX support decreased by more than 20% with the use of relevance-augmented generative answers in Xero Central.
Coveo has found that across its own customer self-service experience, its self-service success rate improved by 43% for visits using GenAI.
A large tech customer found that generated answers allowed end-users to save nearly 10 minutes searching for an answer.
Coveo analysis found that self-service success improvements from Coveo Relevance Generative Answering could lead to a reduction of up to 25% in the overall cost-to-serve for a typical large technology company.

“We are in a new era, where technology is not only about meeting expectations; it’s setting the stage for the future of digital interaction,” said Laurent Simoneau, President, CTO and Founder at Coveo. “We’ve been working with forward-thinking global enterprises on their AI strategy for more than a decade. It’s exciting to be a part of the quantum leap generative answering has created and to witness the exponential business value our customers are already achieving with our platform. As more enterprises roll out generative answering across commerce, service, workplace, and website applications, we’re looking forward to driving business value and impacting the bottom-line for our customers.”

Meet Coveo Relevance Generative Answering

Deployed in as little as 90 minutes on top of the Coveo AI Search Platform, Coveo Relevance Generative Answering effortlessly generates answers to complex user queries within digital experiences by leveraging Large Language Models (LLMs) on top of the leading unified indexing and relevance functionality of Coveo’s platform. An enterprise-ready solution, Coveo Relevance Generative Answering is content-agnostic, scalable, secure, traceable, and can provide accurate and relevant answering, and composite abstracts from multiple internal and external sources of content – meaning it is not limited to the content or knowledge base within existing systems. Coveo Relevance Generative Answering is an addition to the suite of Coveo AI models and can be injected to improve any touchpoint across the customer or employee digital journey. Relevance Generative Answering can be used across multiple interfaces from standalone search pages, in-product experiences, self-service portals and communities, service management consoles and more.

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

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Survey: AI Adoption Among Federal Agencies Is Up But Trust Continues to Be An Obstacle to Future Adoption and Use

Business Wire — Fri, 15 Dec 2023 14:48:28 +0000

Findings Reveal 80% of Public and Private sector Organizations are using AI and that Clear Acceptable Use, Privacy and Security Policies Need to be Set Early For AI Success

GovSummit23 – New research from Splunk Inc. the cybersecurity and observability leader, suggests that while the majority of public and private sector organizations are already using artificial intelligence (AI) in production, trust remains a major concern. Surprisingly, every respondent reported plans to implement AI – all were either using, testing, planning or investigating the use of AI technologies. However, despite this universal adoption, it’s clear that organizations need to set priorities and confront obstacles with a comprehensive planning framework to achieve positive business outcomes from AI.

Organizations Need a Clear AI Strategy

With nearly every other game-changing technology, the rapid rise of AI adoption has been sometimes fraught with missteps and roadblocks. According to the survey, organizations’ main concerns include building trust in AI-enabled systems and processes, ensuring data privacy and security, navigating system reliability issues and ensuring data quality.

Across both the public and private sectors, trust and reliability in AI-enabled systems – particularly around cybersecurity tools that leverage AI – continue to be the main concerns for decision-makers (48% public, 36% private), making it clear that early decisions about AI policies can make or break organizations’ long-term AI strategy.

AI Adoption Among The Public and Private Sectors:

The survey paints a detailed picture of the similarities and differences between the public and private sector’s use of AI. Unlike previous emerging technologies, the rate of AI adoption among federal agencies (79%) is similar to the adoption across the public sector (83%). The survey found that this similarity has led to homogenous AI goals and challenges, including:

Public Sector AI Priorities in 2024: In the public sector, half of the survey respondents pointed to continuous monitoring as a top tactic to defend AI-enabled systems against cybersecurity attacks, followed by threat intelligence solutions (45%) and developing an incident response plan (43%).

Public and Private Sector Agree on Future AI Use: Respondents also noted innovation (31% public, 29% private), the use of AI technology to enhance goods or services (28% public, 31% private), and its role in improving citizen and customer experiences (30% public, 27% private) are the main drivers for their AI strategy.

Cybersecurity is a Top AI Use Case: Most respondents (80%) reported their organizations were already addressing cybersecurity priorities with AI, including AI-enabled monitoring (34%), risk assessment (33%) and analysis of threat data (29%). With the use of tools that leverage large language models (LLMs) — like the Splunk AI assistant – organizations can optimize AI to drive faster detection, investigation and response to more effectively address their cybersecurity priorities.

Regulations Continue to Be a Barrier: A commanding majority of survey respondents (78%) indicated that global ethical principles should guide the regulation of AI rather than it being the provenance of nation-states.

Automation is the Key AI Driver: Forty-four percent of the private sector and 53% of the public sector are eager to use or are already using AI for automation to help increase productivity across their organizations.

“For both the public and private sector, purpose-built AI solutions can help improve an organization’s resiliency,” said Bill Rowan, VP of Splunk Public Sector, Splunk. “However, the push and pull between eagerness to innovate and hesitancy to venture blindly into the unknown will continue to hinder AI innovation until we have a clear body of general principles and rules for AI technology use and adoption.”

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

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Expediting R&D Digitization for Life Sciences, ArisGlobal Introduces LifeSphere® NavaX™ – The Next-Generation Cognitive Computing Engine

PRNewswire — Fri, 15 Dec 2023 08:56:06 +0000

NavaX will revolutionize the end-to-end Research and Development processes with the latest advanced technologies

ArisGlobal, a market leader in Life Sciences technology and the creator of LifeSphere^®, has launched LifeSphere NavaX, a cutting-edge cognitive computing engine to expedite R&D IT Digitization by leveraging advanced technologies including Large Language Models (LLM) and Generative AI (Gen AI).

LifeSphere is the industry’s leading R&D compliance platform. In 2018, the company introduced LifeSphere MultiVigilance (LSMV), a platform for individual case safety report (ICSR) intake. LSMV was powered by LifeSphere Nava (v1) – at introduction, LifeSphere Nava offered the latest robotic process automation and cognitive computing technologies, including natural language processing (NLP) and machine learning (ML), to transform pharmacovigilance (PV) activities.

LifeSphere NavaX includes next-generation technologies that will bring comprehensive efficiency gains across the end-to-end PV and regulatory processes. Organizations leveraging LifeSphere NavaX will benefit from the latest developments from ArisGlobal, including:

Proactive Signal Detection (with the use of Real-World Data),
Generative AI (Gen AI), and
Large Language Models (LLM) features and functionality

Half (49%) of all Life Sciences organizations have cited a desire to deploy Gen AI in the next 12 months, in a survey conducted for the Gartner 2024 CIO Agenda, with 15% pointing to deployment within 12-24 months; only 8% having deployed the technology already. The growing appetite for smart process automation reflects the soaring pressure on Life Sciences companies and their PV and Regulatory operations to be more agile and efficient, uphold the highest standards of patient safety while improving quality and compliance.

Aman Wasan, CEO of ArisGlobal, said: “Our vision is to transform the R&D IT ecosystem with advanced technology. NavaX will help global pharmaceutical, biotech, and health authorities achieve greater value leveraging cutting-edge technology. With more than 30 years of experience in the Life Sciences industry, ArisGlobal team will work closely with each customer to unlock exceptional benefits with NavaX.”

Ann-Marie Orange, CIO & Global Head of R&D at ArisGlobal said, “Companies are facing monumental challenges including increasing case volume, balancing the need to elevate drug safety and efficacy while containing rising R&D costs, responding to regulatory complexity, and a growing pressure to harness big data and analytics. Compounding these challenges, there remain inefficient legacy IT systems, workflows, and processes, along with budget and resource constraints.” Orange adds, “Our LifeSphere platform codifies decades of R&D and compliance expertise, making it available to our customers. LifeSphere NavaX builds on our proven platform, allowing the Life Sciences industry access to digital innovations that are driving the world forward.”

NavaX Technology Highlights

NavaX is scalable and customizable; allows PV and Regulatory teams to remain in control and set their own pace based on their objectives, goals, and timing.
NavaX supercharges LifeSphere solutions, which seamlessly integrate with third-party systems to ensure a smooth transition to a more intelligent and automated future.
NavaX is built and enhanced with continuous inputs from pharmaceutical and regulatory partners, with the highest standards within the establishment of robust governance frameworks and compliance standards.

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More than 500 global pharmaceutical and biotech companies (90% of the Top 10 pharma brands) leverage LifeSphere, ArisGlobal’s open R&D and compliance platform transforming the way Life Science companies develop breakthroughs and bring new patient treatments to market, faster. Current LifeSphere platform customers have achieved exceptional process efficiency gains and cost savings. By powering next-generation digital process innovation, NavaX will supercharge operational efficiency, drive even faster time to insights, and ensure greater compliance.

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

The post Expediting R&D Digitization for Life Sciences, ArisGlobal Introduces LifeSphere® NavaX™ – The Next-Generation Cognitive Computing Engine appeared first on AiThority.