Instabase, a leading AI company, is excited to launch AI Hub Chatbots. Recent advancements in LLMs have led to many novelty chatbot products, but none are ready to meet the demanding requirements of the most sophisticated enterprises. AI Hub Chatbots address these challenges by enabling deployment in environments with the most stringent security requirements, supporting all unstructured knowledge (including scanned documents, handwriting, etc.), providing reliable insights using an agent framework to solve complex multi-step tasks like financial analysis, and allowing users to verify every answer with references to the source knowledge. AI Hub Chatbots are already being deployed to solve important knowledge access scenarios, including in an air-gapped environment for a US government agency.

In today’s fast-paced business climate, the ability to quickly and accurately retrieve information from enterprise & government data is crucial. For example, both customers and support representatives need to dig through archives of product documentation to trouble shoot issues. Or, back-office workers across financial services and insurance need to navigate lengthy policy guidelines to make loan and insurance decisions. As organizations grow, the complexity and volume of their knowledge bases often lead to inefficiencies. In conversations with customers, Instabase found that knowledge retrieval continues to be a critical problem, even with recent LLM technologies. This leads to customer dissatisfaction and impacts operational efficiency – ultimately reducing profitability.

How AI Hub Chatbots are different

Customers repeatedly find that novelty chatbot products are not able to process all unstructured data, only answer very basic questions, either do not provide references or provide them just at a high-level, or require usage in untrusted environments. While this might work for simple scenarios, the most important enterprise and government knowledge access scenarios require a more sophisticated solution.

Instabase AI Hub chatbots enables the most demanding knowledge access scenarios by:

1. Deployment anywhere: AI Hub chatbots can quickly be shared using various techniques ranging from links anyone can access for community users, in your secure SaaS environment, or even in air gapped on-prem deployments using Instabase’s self-hosted InstaLLM model.
2. Understanding all data: AI Hub can digitize, parse, and understand any unstructured data. You can simply access your digital PDFs, pictures of handwritten notices, complex tables and forms, or even websites to configure a chatbot in minutes.
3. Fine-grained references: AI Hub gives token-level references with confidence scores which allow you to verify responses with your source documents.
4. Multi-step queries: AI Hub’s agent framework techniques allow chatbots to provide reliable insights backed by multi-step tasks like searching for information, extracting complex objects like tables and lists, using a calculator, critiquing its own answer, and recursively improving responses when they are incomplete.

“Our journey with AI Hub has shown us the immense value of knowledge access. Yet, we repeatedly see that business leads struggle to empower their teams to find insights in unstructured content. With AI Hub Chatbots, business leads can now instantly configure a chatbot on their knowledge base and share it securely with their teams or customers, providing immediate and reliable insights,” said Anant Bhardwaj, CEO and founder of Instabase.

Availability

Instabase Chatbots are now available through both commercial (paid) and community (freemium) offerings. They can be shared internally within an organization or externally via a public link. Future updates will include API integrations, allowing enterprises to incorporate chatbots into their customer-facing products.

For commercial users, chatbots can be seamlessly distributed within their organization, enabling colleagues to access them on Instabase AI Hub. Community users can share a public link, making the chatbot accessible by anyone. On enterprise plans, chatbots can be deployed in self-hosted single tenant environments too.

Discover the power of Instabase Chatbots today. Instant, accurate insights are just a question away.

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Instabase Takes AI Chatbots From Novelty to the Most Demanding Enterprise Use Cases first appeared on AI-Tech Park.

Alltius, a leader in enterprise conversational AI assistants, announced the launch of its new Gen AI suite tailored for financial services sales and customer support.

Alltius’ Gen AI platform, which is built on decades of research from Carnegie Mellon University and the Wharton School at University of Pennsylvania, helps organizations transform their customer and employee experiences with accurate and skillful AI assistants for sales, support, product discovery and self-service. With the new product suite, financial institutions can rely on a Gen AI platform with enhanced security measures, financial domain expertise while adhering to strict info-sec requirements.

The new product suite comprises of four components:

In-Product Assist:
A self-service end user copilot that automates customer interactions, provides 24/7 instant support, while delivering 99% accuracy for all kinds of customer queries. With In-Product assist, financial institutions can deflect 60-95% of incoming tickets while reducing customer wait times to seconds instead of hours.

Sales Assist:
A domain specific sales representative AI assistant that improves sales productivity by handling repetitive tasks, ramps up agents faster with tailored coaching and increases sales conversion rates by 3X within months with personalized and need-based sales pitches.

Support Agent Assist:
AI tools for support agents that can tackle 99% of routine queries, allowing teams to focus on complex issues & improving productivity by 20%+ within a month. It includes features such automatic CRM updates, pre-drafted support responses, canned responses for legal questions and tailored onboarding assistant.

Website Assist:
AI copilot for website that improves website traffic conversion rates by guiding website visitors to correct information and assistant visitors find best plans or services based on their needs.

Leading financial institutions like Assurance IQ have partnered with Alltius to improve their contact center experience. Assurance IQ used Alltius’ Sales Assistants to ramp up new agents within 2 months as opposed to 6 months earlier. “One of the best [platforms] we have seen in the market. Also, they are one of the best teams we have worked with among our vendors after trying this ourselves for 2 years,” said Nick Howard, CTO, Assurance IQ.

Sanjay Nath, a partner at Blume Ventures and veteran investor in SaaS says that “Vibhanshu and the Altius team were hyper focused to build out wide ranging use cases across sales, customer support and customer success from day 1 and go after massive markets. Accruing value in the current generative AI cycle, which we are currently witnessing, hinges on the ability to have the focus to build feature sets that solve these use cases end to end and we see Altius to be on the best path to do that.”

Recently, Klarna has reported saving millions of dollars using GenAI support chatbots. Alltius has delivered similar outcomes for several large financial institutions and new age fintech companies saving them over US$ 4 millions in savings. Their insurance focused sales assistant has decreased training time for insurance agents for 6 months to 2 months, while increasing the sales volumes by over 30% for large carriers and brokerages. 

“Alltius is dedicated to revolutionizing the sales and customer support journeys with our advanced AI assistants”, said Vibs Abhishek, CEO of Alltius. “Our partnership with leading financial institutions provides the proof of transformative impact AI can have on customer support and across other teams”.

For more information, please visit Alltius.

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Alltius launches Gen AI platform suite for Financial Services first appeared on AI-Tech Park.

AI-powered search provider Sinequa announced today the availability of Sinequa Assistants, new enterprise-grade generative AI assistants that seamlessly integrate with all enterprise content and applications to augment and transform knowledge work. Sinequa’s new generative AI Assistants empower employees to work more efficiently, effectively and creatively, allowing them to accelerate and improve decisions, devote more time to strategic initiatives and drive business success.

Generative AI (GenAI) is poised for rapid adoption. According to Gartner, “By 2027, GenAI will augment 30% of all knowledge workers’ tasks, from 0% in 2023.” (1) As organizations have grappled with how to reliably use generative AI in business, Sinequa’s Assistants demonstrate that combining search with GenAI in a technique called retrieval-augmented generation (RAG) enables the next generation of AI-augmented knowledge work. Sinequa’s unique Neural Search is the perfect complement to GenAI and provides the foundation for Sinequa’s Assistants. Its capabilities go far beyond RAG’s conventional search-and-summarize paradigm to intelligently execute complex, multi-step activities, all grounded in facts to augment the way employees work. Assistants automate tedious tasks and streamline work processes with added insights for better results, improved quality, and a more satisfying work experience.

Unlike other AI assistants or copilots that lack secure access to the full scope of all enterprise content, Sinequa’s Assistants leverage any and all company content and knowledge to generate contextually-relevant insights and recommendations, while ensuring privacy and data governance. Optimized for scale with three custom-trained small language models (SLMs) for the best relevance at low cost, Sinequa Assistants ensure accurate conversational responses on any internal topic, complete with citations and full traceability to the original source.

Sinequa Assistants work with any public or private generative LLM, including Cohere, OpenAI, Google Gemini, Microsoft Azure Open AI, Mistral and others, allowing companies to choose which LLMs best meet their needs while controlling costs. The Sinequa Assistant framework powers a range of ready-to-go Assistants along with tools to define custom Assistant workflows so that customers can use an Assistant out of the box, or tailor and manage multiple Assistants from a single platform. These Assistants can be tailored to fit the needs of specific business scenarios and deployed and updated quickly without code or additional infrastructure. Some of the domain-specific Assistants available include:

• The Augmented Scientist empowers research teams to converse with scientific content from an ever-increasing number of data sources to speed up clinical trials, drug development and streamline Research & Development (R&D) processes.
• The Augmented Engineer empowers design teams with a unified view of projects, products, and parts and the ability to construct and search across a digital thread.
• The Augmented Lawyer gives lawyers and paralegals powerful self-service research capabilities across all case files and information through a time-saving AI search.
• The Augmented Asset Manager empowers financial asset managers and advisors to leverage valuable insight from contracts, portfolio history and documents.

All of the Assistants are powered by Sinequa’s search platform, combining the most accurate and performant hybrid search technology and three custom SLMs. A flexible Assistant framework makes it easy to define custom workflows informed by search and combine that with any generative AI model, whether commercial, private, or open source.

“To better capitalize on the feedback following production incidents in our refineries, we implemented JAFAR (Jenerative AI for Availability REX), a new search app designed to streamline information retrieval in TotalEnergies’ knowledge databases. Powered by Sinequa’s search engine/RAG combined with generative AI, JAFAR enhances decision-making by analyzing documents and providing recommendations,” said Aude Giraudel, Head of Smart Search Engines, TotalEnergies. (2)

While most companies are still experimenting with basic search-and-summarize RAG, Sinequa has gone much further with Assistants that take RAG to the next level. Sinequa’s Assistants execute multi-step workflows to accomplish complex tasks with reasoning, incorporating RAG as needed to fully leverage corporate knowledge. This ensures that the Assistant responds accurately, transparently, and securely, with the most up-to-date information, including inline citations to original sources and immediate traceability – and access – to those sources.

“Sinequa has been investing in Artificial Intelligence and leading Enterprise Search for the last 20 years thanks to our unmatched connectivity and scalability on enterprise content. Having pioneered the use of LLMs in search with our custom trained SLMs, Sinequa is perfectly positioned to take search and RAG to the next level with the release of Sinequa’s Generative AI Assistants. This is an exciting time as our Assistants augment the way we work, empowering knowledge workers to deliver higher quality work in less time, and with greater confidence and lower mental stress. At Sinequa we are proud to support our customers in their GenAI transformation,” said Jean Ferré, CEO and Co-Founder of Sinequa.

As part of this paradigm shift and the unveiling of Sinequa’s virtual assistants, Sinequa has also launched a new brand identity and company website to reflect this new era of work augmented by Assistants informed by search and Sinequa’s role in advancing AI in the enterprise. AI is fundamentally transforming how work gets done, and represents a new world of opportunity for augmenting employees and businesses.

(1)   Gartner, Emerging Tech: Primary Impact of Generative AI on Business Use Cases, 6 September, 2023, by Annette Jump, Anthony Bradley, Eric Goodness, Radu Miclaus

(2)   Quote extracted from CIO France magazine, “TotalEnergies raffine ses résultats de recherche avec le RAG,” April 18, 2024

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Sinequa Launches New Generative AI Assistants for Businesses first appeared on AI-Tech Park.

AiDA is designed to enhance efficiency, ensure compliance and provide precise, context-aware responses to profession-specific enquiries enabling accounting, audit and finance experts to work more efficiently, collaborate with greater effectiveness and gain deeper insights.

Whether providing timely responses to methodology or compliance questions, supporting the processing and analysis of audit evidence, or assisting with the production of key audit workpapers and deliverables, AiDA empowers professional users to achieve more with less effort. This will, in turn, drive practice growth and power the financial success of clients.

David Osborne, Chief Executive Officer at Caseware International remarked, “Caseware AiDA is the future. Our vision is to place powerful tools in the hands of our clients, enabling them to do their work better than they have ever done before. This release is just the beginning of a wave of innovation in AI and it demonstrates the focus we have on our accelerated roadmap to build out our offering on the Caseware Cloud platform. Caseware AiDA offers powerful digital assistance to accountants and is further proof of the ways in which Caseware is underpinning the relevance of the profession.”

Some of the benefits to be gained from Caseware AiDA include:

• Enhanced workflow efficiency with precision and relevance – whether summarizing lengthy PDFs or providing informed answers about your documentation in the moment, AiDA helps you work smarter, not harder.
• Reassurance around security and compliance – with AiDA, no prompts are stored or fed back into the model. Users can trust AiDA to maintain the highest data security and compliance standards that Caseware has always delivered for the profession.
• Assistance with routine tasks – AiDA assists with mundane tasks, enabling professionals to focus on strategic decision-making.
• Focus on quality output – AiDA delivers a safe and fit-for-purpose resource which ensures efficient workflows for clients.

Feedback on AiDA has underscored the demand for tailored, secure AI solutions in professional environments. Danielle Supkis Cheek, VP, Head of Analytics and AI at Caseware International commented, “We recently showcased AiDA to a number of clients beyond our beta phase community at Caseware’s 2024 North American User Group. The response was phenomenal and, in line with our roadmap, we’re excited to continue to enhance AiDA based on user feedback and technological advancements.”

Currently available to Caseware Cloud customers in the United States for early access, AiDA will ultimately be available across the globe and, specifically, in Australia, Canada and Europe later this year. Soon, AiDA will be a core component of all cloud-enabled solutions, across all regions. AiDA’s capabilities are constantly evolving, including better context awareness in document interactions and more extensive support for multilingual queries. AiDA is set to transform how professionals in the accounting and audit fields manage their tasks, offering unparalleled support and efficiency.

Caseware AiDA (pronounced AY-duh) draws inspiration from Ada Lovelace, whose impact on scientific computing continues to influence generations of technologists and mathematicians around the world.

Caseware encourages users to explore AiDA’s features and experience the future of digital assistance. To see AiDA in action, join us at ENGAGE at the ARIA Resort & Casino from June 3-6 or sign up to hear more from Danielle Supkis Cheek at the Streamlining Audits with AI: Efficiency and Quality Gains webinar taking place at 11:00 AM ET on July, 18.

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Caseware Introduces AiDA that Changes the Face of Accounting and Audit first appeared on AI-Tech Park.

As part of the new offering, IBM will work with clients to build custom copilots that can be tailored to fit the needs of specific business scenarios and efficiently deployed to help reduce the time and effort often required for implementations. IBM will initially focus on helping clients across priority use cases, including customer and field service, employee experience, and procurement and finance – as well as specific industries, like financial services, retail and CPG, government, and supply chain. These use cases will include:

• The Procurement and Finance Contract Copilot which assists specialists in extracting valuable insights from contracts.
• The Customer Service and Field Service Copilot which gives agents and technicians access to self-service options and a time-saving generative AI search.
• The Employee Experience Copilot which is designed to enhance employee engagement.                                                                            

IBM and Microsoft already serve clients across a variety of industries with a range of AI solutions and services. In fact, IBM Consulting worked with Virgin Money to develop and launch Redi, a conversational virtual assistant that helps credit card customers in the Virgin Money credit card app. Redi, powered by Virgin Money’s suite of Microsoft Copilots, is a testament to the power of partnership.

“Our customers tell us how much they enjoy interacting with Redi in the Credit Card app,” said Adam Paice, Head of Digital Proposition, Virgin Money. “Our partnership with IBM has helped us to get the most out of Microsoft Copilot to find a balance between innovation and control.”  

IBM Consulting is also scaling its Microsoft copilot capabilities and capacity across its network of Global Innovation Centers on each continent. For example, these capabilities are being used to co-create solutions with clients at IBM Consulting’s new IBM-Microsoft Experience Zone in Bangalore, India – a first of its kind in our collaboration.

At the Experience Zone, clients from around the world and across industries are working together with IBM Consulting in various technology stations to co-ideate and co-create generative AI-powered solutions – leveraging Microsoft technologies, including Copilot. Later this year, IBM Consulting plans to open additional IBM-Microsoft Experience Zones in Romania, U.K. and U.S., where clients in these regions can explore the power of Copilot. In addition IBM and Microsoft hosted a second client-focused hackathon with 800 participants, including clients and experts to build solutions leveraging Microsoft copilot – with winners to be announced this quarter.

“As IBM and Microsoft strengthen our partnership, we’re poised to empower more clients with Microsoft Copilot, supercharging productivity and boosting creativity through the power of generative AI,” said John Granger, Senior Vice President, IBM Consulting. “Our dedicated IBM Consulting Microsoft practice, along with Copilot-focused Experience Zones around the world, help us meet clients where they are and bring them the right generative-AI-enabled solutions for their businesses.”

“Clients need the right partners and technology to scale AI responsibly across the enterprise,” said Dinis Couto, General Manager of Global Partner Solutions for Microsoft. “With IBM’s dedicated group of Microsoft Copilot experts, we’re confident we can help more clients unlock the full potential of generative AI for their businesses.”

IBM purchased Copilot for Microsoft 365 for its practitioners. To continue building on the partnership, IBM has also invested in growing its team of experts and capabilities through acquisitions, like Neudesic and Bluetab.

IBM Consulting practitioners work with a range of leading AI software technologies and multiple models from both IBM and its strategic partners like Microsoft. IBM data and AI consultants typically employ multiple models, each applied to a specific use case. Different models can be optimized for specific tasks, enhancing performance and efficiency.

Microsoft is a trademark of Microsoft Corporation in the United States, other countries, or both.

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post IBM Copilot Runway to Fuel AI-Powered Business Transformation first appeared on AI-Tech Park.

Key Highlights

• AnsysGPT complements Ansys’ artificial intelligence (AI)+ family of products by providing access to curated Ansys knowledge, 24/7 user support, and vast multiphysics expertise
• The new tool features advanced data engineering to index information across the Ansys portfolio, forming a customized knowledge repository
• AnsysGPT knowledge base increased by 30x since beta launch to deliver a broader, deeper portfolio for improved response accuracy and usefulness

Ansys (NASDAQ: ANSS) today announced the release of its AI-powered virtual assistant, AnsysGPT. Built using ChatGPT technology, the virtual assistant fuses the expertise of Ansys engineers with the power of AI to deliver a general-use tool capable of providing rapid, 24/7 customer support. AnsysGPT is trained using Ansys data to provide useful responses to customers’ most pressing engineering questions within seconds.

AnsysGPT aids existing teams by providing customers 24/7 access to a virtual assistant for queries concerning Ansys products, relevant physics, and other complex engineering topics. Through a secure, easy-to-use interface, designers and engineers receive real-time responses in numerous common languages to help them streamline simulation setup, browse related learning opportunities, and more. 

The updated release follows rigorous testing of response accuracy, performance, and data compliance. AnsysGPT captures knowledge from new public sources, including product documentation, product and engineering-related training documentation, FAQs, technical marketing materials, and public Ansys Learning Forum discussions. Additionally, the upgraded infrastructure offers enhanced security and scalability to accommodate thousands of users.

“As complex simulations can be difficult to set up for beginners and experienced engineers alike, the utility of AnsysGPT cannot be understated,” said Eugen Dinca, senior thermal simulation engineer, Continental Automotive Romania. “It’s easy to use, it’s reliable, and relevant, accurate information is displayed quickly. For example, my query was answered with all the necessary information, including relevant linking to documentation.”

“The release of AnsysGPT marks the availability of a transformational AI-powered technical support avenue for Ansys customers,” said Anthony Dawson, vice president of customer excellence at Ansys. “AnsysGPT is a complementary tool that empowers customers to find answers to intricate questions on their own. This release boasts improved response accuracy, performance, data security, and compliance for users — resulting in accurate, rapid answers to their most important engineering questions.”

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Ansys releases AI-Powered Virtual Assistant AnsysGPT first appeared on AI-Tech Park.

In a groundbreaking move towards enhancing consumer experiences and setting new standards in health insurance exchange technology, Nevada Health Link proudly announces the successful integration of Artificial Intelligence (AI) into its State-Based Marketplace (SBM) platform. This first-of-its-kind initiative underscores Nevada Health Links’s unwavering commitment to innovation, transparency, and consumer-centric strategies.

The implementation of a purpose-built interactive virtual agent (IVA) by the team at GetInsured marks a significant milestone in Nevada Health Links’s journey. Nevada Health Link is the first marketplace to have Centers for Medicare & Medicaid Service’s (CMS) approval for the use of AI-based Interactive Virtual Agents to enhance the customer service experience. The state worked collaboratively with the CMS and GetInsured security teams for several months to ensure that all federal privacy and security requirements were met. This approval signifies a high level of confidence in the technology that the marketplace has implemented.

“The successful integration of AI into Nevada Health Link, facilitated through collaboration with GetInsured, showcases Nevada’s commitment to employing cutting-edge technology to serve its residents more effectively,” said Tim Galluzi, State Chief Information Officer, Office of the Chief Information Officer (OCIO). “At the OCIO, we applaud all our partner agencies advancing the technology that impacts service delivery to Nevadans and this initiative highlights ongoing pursuit of excellence in leveraging technology to meet the evolving needs of Nevadans.”

This AI-driven innovation offers callers natural language interactions that answer common questions and requests instantaneously, augmenting the call center’s normal business hours by operating round-the-clock support to individuals seeking help with basic needs such as password resets and finding enrollment assistance.

“Given the prevalence of gig workers and individuals with unconventional work schedules in Nevada’s diverse workforce, the integration of AI into the Nevada Health Link platform ensures that essential support is available round-the-clock,” said Russell Cook, Executive Director of Nevada Health Link. “This cutting-edge technology caters to their needs, offering seamless assistance to individuals seeking information or help at any hour. The AI technology increases the call center capacity by streamlining consumer interactions, reducing peak call volumes, and allowing Customer Service Representatives to focus on complex queries.”

During Plan Year 2024 Open Enrollment Period, roughly 2,700 calls, or 14.5%, were fulfilled entirely by the virtual agent. Additionally, 2,100 calls, or 9.6%, were automatically transferred, predominantly to affiliated brokers or Nevada Medicaid, as appropriate. The IVA freed frontline workers from these task-based calls, which mainly consisted of resetting usernames or passwords, activating accounts, unlocking accounts, uploading documents, and assisting with enrollment cancellations allowing workers to focus on complex tasks while reducing the time a customer had to wait for specialized services.

“Our relationship with Nevada Health Link began when we transitioned it off of the federal marketplace, HealthCare.gov, in 2019 and has grown over the years,” said Chini Krishnan, Founder and CEO at GetInsured. “The incorporation of AI stands as a testament to our strong teamwork and Nevada’s resolute dedication to providing cost-effective solutions, enriching consumer interactions, and amplifying state oversight over health care initiatives.”

Nevada Health Link concluded its Open Enrollment Period on January 15, with a significant uptick in enrollments compared to the previous year. A total of 99,312 Nevadans signed up for Qualified Health Plans and 20,984 for Qualified Dental Plans, representing the second-largest enrollment in the state’s marketplace history. Of the total enrollments, 25,553 were new enrollees, while 22,965 existing plan holders actively shopped to upgrade or switch plans during the enrollment period.

By leveraging AI capabilities, Nevada Health Link gained valuable insights into customer behavior and preferences, paving the way for data-driven decision-making and improved service personalization.

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Nevada Health Link integrates AI into its SBM platform first appeared on AI-Tech Park.

Built on a foundation of real-world AI application, the Ontrak Advanced Engagement System enables member engagement at greater scale and with greater efficiency than ever before. The platform’s introduction marks a significant step forward in Ontrak’s commitment to technology-driven health solutions and builds on more than a decade of research and development.

Among other cutting-edge innovations, the Ontrak Advanced Engagement system employs a Risk-based analytics engine, which uses AI algorithms to identify members and prioritize outreach based on factors like risk, readiness, acuity, claims, prescriptions, and enrollment history. Our Risk-based analytics engine can find members with, for example, high-predicted probability of substance use disorder or depression, but no associated diagnosis in existing health records. This technology helps drive Ontrak’s impressive member outreach success of 54% across all lines of business, which Ontrak believes is more than double the industry standard.

Several other components of the Ontrak Advanced Engagement System continue to improve Ontrak’s industry-leading Care Coaching. Using natural-language processing, AI-Driven Coach Notes converts spoken interaction into text, allowing for more productive care sessions aligned with evidence-based practice fidelity. It also drives greater efficiency, creating up to 20% more time for Care Coaches to prepare for and focus on serving more members.

The Care Signals Engine flags and facilitates timely and relevant care interventions. This is where past and current health and life experiences are highlighted. Our Care Signals indicate events that are important to a member such as new diagnosis, new medications, work stress and key factors that influence wellness. These signals provide the optimal framing for goal setting and coaching support.

In addition, the Next-Best Action Engine offers immediate, data-driven recommendations to optimize Care Coaching interactions. Ontrak expects the Next-Best Action Engine will significantly increase operational efficiency up to 25% or more of time saved organizing schedules and tasks across caseload, while ensuring that resources are prioritized where they’re needed most. In certain cases, the Next-Best Action Engine will trigger the built-in AI Virtual Assistant. This tool interacts with members and offers them an opportunity to engage with their healthcare teams thereby extending member reach. The AI assistant can grasp the nuances of a member’s feelings and sentiments and adjust the conversation to help close gaps in care.

To ensure that Ontrak Care Coaches align with best practices, the Ontrak Advanced Engagement System also includes AI-driven quality assessment and fidelity assessment tools. These technologies evaluate the delivery of evidence-based protocols. Care Coaches now get real-time skills-based training feedback into how well their interactions are serving members.

Beneath everything are next-generation AI-driven data management and analytics tools. For example, through a proprietary data infrastructure, the Data Exchange platform simplifies the process of managing electronic data interchange (EDI), while complying with federal requirements and best practices in the industry saving 80% in pipeline maintenance costs and delivered nearly 90% shorter turnaround times.

The platform also facilitates Provider Interoperability through HITECH certified industry standard frameworks. This creates a closed-loop, bi-directional data sharing ecosystem, seamlessly connecting providers, specialists, and Ontrak Care Coaches. Bi-directional data sharing has already shown to significantly improve patient adherence to treatment plans.

Taken together, AI-driven analytics facilitate a continuous improvement loop, ensuring member interactions remain firmly rooted in evidence-based practice. By integrating sophisticated AI, Ontrak is helping to ensure that every member interaction is an opportunity to deliver the highest quality care—along with the highest possible client ROI.

Finally, the Ontrak Advanced Engagement System helps connect members with the right providers through its proprietary Provider Matching Engine. This technology taps into Ontrak’s 45-state behavioral health network to select the most appropriate behavioral health provider for each member based on their needs. The Provider Matching Engine considers more than a dozen specialties and 30 sub-specialties, performance, and outcomes as well as mode of delivery, diversity, and demographics. Ontrak believes that more precise provider matching is what drives its remarkable clinical outcomes, demonstrated by greater than 50% clinically significant reduction in anxiety and depression symptoms for members in its WholeHealth+ program.

“This is innovation where it’s needed most,” said Brandon LaVerne, CEO of Ontrak Health. “We’re achieving unmatched scale and efficiency when it comes to member engagement. As a result, Care Coaches, health plans, and providers can gain a clear, comprehensive view of care activities, delivering measurable evidence of impact and outcomes.”

Ontrak Health recently published a white paper describing this technology in more detail. You can read the white paper at https://ontrakhealth.com/white-papers/ai-innovation-for-the-real-world-journey-through-care/.

Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!

The post Ontrak Health launches the Ontrak Advanced Engagement System first appeared on AI-Tech Park.

Gregg Willsky, Principal Analyst at GlobalData, comments: “‘Gemini for Google Workspace’ represents a significant upgrade to the Workspace platform. Gemini is positioned to become Google’s flagship AI tool, powering many products and services within its portfolio.”

GlobalData analysis finds Gemini is a special LLM capability being built deep into the Workspace set of apps, bringing a new level of generative AI (GenAI) functionality. For example, creating custom sales pitches from transcripts of video calls; assembling tables in Sheets driven off raw data and content; and building a slide deck from text prompts. The Gemini set of LLMs is natively multimodal unlike other LLM models and the new Ultra 1.0 version is the first solution to outperform human experts on MMLU (massive multitask language understanding) tests meaning it can use its ‘reasoning abilities’ to “think more carefully” before it answers questions.

Willsky adds: “A question that has plagued Google and its rivals is what makes their ‘brand’ of AI different? Now, Google is the first to have an answer –the Gemini set of LLMs.”

Productivity enhancements have been delivered through a proliferation of virtual assistants from every major competitor in the cloud-based collaboration space. These assistants represent the centerpiece of a ‘permeate the platform’ approach to AI that has seen the technology applied across competitors’ full portfolios.

Willsky concludes: “Google’s rivals will need to evaluate the LLMs powering their respective collaboration platforms and consider upgrading them. Gemini’s ability to process a range of data types and the effectiveness at which it does so is well worth mimicking.” 

Visit AITechPark for cutting-edge Tech Trends around AI, ML, Cybersecurity, along with AITech News, and timely updates from industry professionals!

The post Competitors would be wise to mimic ‘Gemini for Google Workspace’ first appeared on AI-Tech Park.

Iris, TeleVox’s conversational AI virtual assistant for health systems, received a Merit Award in the category of Connected Digital Health – Point-of-Care Programs. The winners were chosen from more than 400 entries and judged by a panel of distinguished experts in digital health media.

Iris, the Conversational AI-Powered Virtual Assistant, is designed with a specific purpose—to enhance patient care and streamline health system efficiency. By enabling frictionless access to self-service and intuitive access to information and resources, Iris empowers individuals to navigate their healthcare journey with ease. Additionally, Iris contributes to the optimization of hospital operations by efficiently automating routine interactions, alleviating the workload of hospital staff. Through these capabilities, Iris not only enhances patient satisfaction but also elevates the overall healthcare experience for individuals.

“Iris transforms the patient experience by leveraging AI technology designed specifically for the healthcare industry,” said Kamal Anand, Chief Product Officer, TeleVox. “We’re honored that the judges recognized the value Iris brings to both patients and providers in bestowing this tremendous honor.”

The Health Information Resource Center^SM (HIRC), organizer of the Digital Health Awards, is a national information clearinghouse for professionals who work in consumer health fields. Other well-known HIRC programs include the annual National Health Information Awards^SM (healthawards.com), which annually recognizes the nation’s best consumer health information (in non-digital formats).

Visit AITechPark for cutting-edge Tech Trends around AI, ML, Cybersecurity, along with AITech News, and timely updates from industry professionals!

The post TeleVox’s Iris honored in Fall 2023 Digital Health Awards first appeared on AI-Tech Park.