New r1 orders globally are now shipping within three business days

Today, AI startup rabbit inc. announced that r1, a first-of-its-kind AI-native device that puts easy access to the industry’s most advanced consumer AI models in your pocket, is now available across the European Union and the United Kingdom. In addition, rabbit announced that a****** r1 orders globally will ship within three business days.

r1 is rabbit’s first hardware product and has made waves in the consumer electronics industry as the best-selling and most-used native AI device to-date, with more than 100,000 devices sold. One-third of r1 devices sold to-date have been purchased in Europe. Customers have discovered a wide variety of helpful use cases to improve their daily lives with AI, from deciphering complicated parking and road signs, and getting important gardening tips using the AI-powered rabbit eye camera, to translating conversations in real-time and generating healthy recipe ideas with access to leading large language models (LLMs).

Also Read: AiThority Interview with Seema Verma, EVP and GM, Oracle Health and Life Sciences

r1, rabbit OS and rabbithole – a personalized AI agent experience from end to end

Running on a personalized operating system, r1 is the only consumer AI device that gives users quick and affordable access to the leading AI models in one device, including LLMs from ChatGPT, Perplexity, and Anthropic. Combining custom-built software with sleek hardware designed in collaboration with renowned design firm Teenage Engineering, r1 is an on-the-go curiosity catcher, a journal you write with your voice, an encyclopedia at your fingertips, a recorder that summarizes your every thought, a pocket translator, and a reason to bring friends and family together. Each user can manage their personalized history and supported online services in rabbithole, the accompanying secure cloud hub and “brain” of the user’s personal AI assistant. Take a look at our use cases to learn more about how r1 offers a new and useful AI-native experience.

Commitment to constant improvement for a better user experience

Since launching r1, rabbit has demonstrated its community-focused approach to ensure a fast feedback loop between its consumers and engineers, continuously and rapidly improving and adding more value to r1 through regular software updates based on user feedback. The new “beta rabbit” feature, introduced in July, enables r1 to provide significantly smarter answers to more complex queries. A number of other key updates have also made r1 more useful and delightful, including global memory recall, which personalizes responses in relation to a user’s rabbithole journal content; Wolfram|Alpha integration, which provides users with increased accuracy in computational queries related to mathematics, science, technology, society, and culture; and Magic Camera, which turns photos taken by r1 into creative AI-generated images. While there are currently some regional limitations in Europe, including availability of certain connected apps and additional operating languages, the product is vastly more capable than it was at launch, with new improvements and features added through regular over-the-air (OTA) and cloud updates. This cadence will also apply to Europe as the team continues to listen to feedback and rapidly apply it to the user experience.

“r1 was designed from day one to be a global device, and we want to deliver it to every corner of the world,” said Jesse Lyu, Founder and CEO of rabbit. “We’re very encouraged to see the existing appetite for r1 in Europe already as we pave the way in this new category of AI-native products.”

Built around security from day 1 and constantly becoming stronger

rabbit designed the architecture of rabbit OS with security and privacy at the core. “The most important thing we do at rabbit is earn and protect customer trust. This is something that everyone, not just the security team, is charged with when they join the company,” said Matt Domko, Head of Security at rabbit. “We’re actively taking steps to consistently improve our security program on a daily basis.”

Also Read: AiThority Interview with Kunal Purohit, President – Next Gen Services, Tech Mahindra

To keep up with the fast pace of rabbit’s software updates and growing set of consumer use cases, rabbit regularly works with credible third-party security partners to test the resilience of its system and ensure consumers’ privacy and information security are effectively protected. Learn more about the company’s recent penetration test in this blog post.

r1 only listens when the user presses the physical push-to-talk button to interact with the device, and its rotating camera defaults to a position that physically blocks the lens unless the user explicitly requests it. rabbit also implemented a vulnerability disclosure program (VDP) in May to encourage researchers, developers, and the general public to submit vulnerabilities in a responsible manner.

rabbit r1 is available today across the entire European Union (excluding Malta) and can be purchased at www.rabbit.tech. It costs $199 with no subscription necessary; please refer to the website for current local prices in the UK and Europe. New orders globally will also be processed and shipped within three business days.

Also Read: AiThority Interview with Yair Amsterdam, CEO of Verbit 

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post rabbit r1, the AI-native Pocket Companion, Expands Availability Across the UK and EU appeared first on AiThority.

BIX enables cybersecurity and business leaders to gain insight into their exposures and speed up cyber risk burn down while keeping your cyber risk data private.

Balbix, an AI-powered Cyber Risk and Exposure Management platform, introduced its BIX conversational AI assistant at Blackhat USA 2024. The BIX AI assistant is already in use at many Fortune 1000 companies as part of an early access program.

Today, managing cyber risks requires identifying key vulnerabilities and understanding related threats, analyzing attack paths, evaluating the potential impact on business, and assessing how well security controls will work. Each of these tasks requires specific tools, integrations, dashboards, reports, and tickets with remediation steps, as well as dedicated personnel to oversee and manage these activities. However, with vast amounts of data from different sources, it is very challenging to understand and prioritize these risks and act quickly. Communicating cyber risks to those outside the security team is particularly difficult, as they often don’t grasp the technical details or the consequences of potential security breaches.

Also Listen: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

Imagine if managing cyber risk was as easy as asking a colleague a question and getting a clear, actionable answer. What if you could also instruct your assistant to keep relevant stakeholders informed about their responsibilities and deadlines, and to provide you with periodic updates? Picture every key player in cybersecurity— from the CISO, CIO, VM teams and security operations to IT staff and legal teams—having their own AI assistants to help manage their part of the cyber risk and exposure management puzzle, conversing in role-appropriate language. Today we are taking a huge step forward towards this vision.

BIX has the following key capabilities:

1. Personalization: BIX customizes its choice of words, detail level, recommendations, and interactions according to the user’s role, preferences, and past conversations. For example, BIX can explain the financial impact of a threat like “Log4j” in monetary terms to executives while also identifying specific cases and suggesting mitigating actions when interacting with IT staff.
2. Context Awareness: From time to time, we all use Google, ChatGPT and other tools to understand risk concepts on a generic level. BIX integrates with your cybersecurity, IT, and business systems and understands details about your assets, apps, software versions, users, and their roles in your business, specific threats facing your organization, your security measures, who’s responsible for what, who works fast and who does not, acceptable risk levels, and your target SLAs. By querying BIX, you can leverage this knowledge to help understand specific security risks and recommended mitigation tasks in context.
3. Mobile Experience: BIX is available on your smartphone and provides answers when you need them, greatly improving your situational awareness. BIX streamlines cybersecurity decision-making by eliminating the need to consult multiple widgets and dashboards across different tools, saving you hours or even days of gathering analytics.
4. Recommendations: In cybersecurity, it’s common to get sidetracked by irrelevant tasks or overwhelmed by endless research on complex topics, especially for less experienced IT and security staff. BIX acts like an executive assistant, guiding stakeholders by suggesting key questions to ask. This helps organizations move from a focus on threats to a more effective, risk-based approach to cybersecurity.

Ed Amoroso, Founder and CEO of research and advisory firm TAG Cyber, stated, “Managing enterprise cyber risk at acceptable levels is an extremely challenging job. Unfortunately, organizations across the industry face deep cybersecurity challenges due to tools sprawl, skills gaps, and budget limitations. Further, failure to comply with regulatory requirements on materiality, patching, and timely software updates has sharply increased organizations’ financial and reputational risk”. Ed also added, “Balbix’s new AI assistant can improve overall enterprise understanding of material risks as well as operational efficiency, speeding up response times. This benefits organizations new to security and those with established large teams.”

Also Read: Humanoid Robots And Their Potential Impact On the Future of Work

Under the hood, BIX utilizes RAG-based Large Language Models (LLMs) running on specialized NVIDIA hardware. However, even the most advanced standalone LLMs struggle with multi-step tasks that require navigating different contexts and managing dependencies and privacy constraints. This is where BIX’s multi-agent architecture comes in, breaking down complex problems into discrete subtasks handled by specialized agents, often operating in different privacy domains. This enables BIX to offer a safe, accurate, and extensible approach to cybersecurity conversations and automate tasks previously considered beyond reach.

Early users of BIX have seen a dramatic improvement in their overall cyber risk and exposure management experience. Understanding risk, making decisions, and risk response times have gone down from days and weeks to minutes. Combined with the rest of Balbix’s capabilities, this has translated into sharply reduced risk and savings from productivity improvements.

“Cybersecurity is inherently complex, demanding not only extensive automation but also simplification and streamlined communication,” stated Gaurav Banga, founder and CEO of Balbix. “Until now, Balbix has used AI primarily for computational tasks in cyber risk management. We are pioneering its use to demystify the complexities of cyber risk for all stakeholders and enhance communication between them. This release of BIX is a step forward in managing risk and exposures more effectively. It marks a significant development in our ability to be proactive, rather than reactive, in our cybersecurity efforts.”

Don’t miss this out: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post Balbix Unveils BIX: the Industry’s First GenAI Powered Assistant for Cyber Risk and Exposure Management appeared first on AiThority.

Innovative Software Transforms How Users Access Information from AI Systems Like ChatGPT and Grok while Providing Query Results and Data Resolution

Infinity Turbine is excited to announce the launch of its groundbreaking Smart Prompt Generator, Krot.ai, a pioneer in artificial intelligence solutions, a tool designed to revolutionize how users interact with AI systems such as ChatGPT, Grok, and more. This innovative software assists users in formulating precise and effective questions, ensuring they receive the most relevant and accurate information from AI systems.

Addressing the Challenge: Navigating Information Overload

In today’s data-driven world, leveraging AI effectively can be daunting due to the complexity of formulating the right questions. Many users face challenges in extracting relevant insights from AI systems, leading to underutilization of these powerful tools. Krot’s Smart Prompt Generator addresses this gap by guiding users in creating optimal prompts, making AI interactions more intuitive and productive.

Also Read: Extreme Networks and Intel Join Forces to Drive AI-Centric Product Innovation

Introducing the Smart Prompt Generator

Krot’s Smart Prompt Generator uses advanced natural language processing (NLP) and machine learning (ML) algorithms to interpret user intent and provide dynamic suggestions for refining queries. This ensures that AI systems can deliver more accurate and comprehensive answers, transforming the way users access information.

1. Guided Interactions

The Smart Prompt Generator enhances user interactions by continuously refining input queries. By generating follow-up questions based on the context and intent of the user’s initial query, it helps users navigate through complex information effortlessly.

2. Contextual Understanding

Understanding the nuances of user queries, the Smart Prompt Generator tailors its suggestions to be highly relevant, thereby improving the effectiveness of AI interactions.

3. User-Friendly Interface

With an intuitive and seamless interface, Krot’s Smart Prompt Generator makes advanced AI technologies accessible to a broader audience, regardless of their technical expertise.

Key Features of Krot’s Smart Prompt Generator

1. Dynamic Question Generation

The software generates follow-up questions and prompts, ensuring users access deeper insights and more detailed answers through an iterative refinement process.

2. Personalization

Learning from user interactions, the Smart Prompt Generator personalizes the experience based on previous queries and preferences, enhancing efficiency and relevance.

3. Educational Component

Beyond providing answers, the tool educates users on effective query formulation, empowering them to improve their research skills over time.

4. Seamless Integration

The Smart Prompt Generator integrates effortlessly with various AI platforms and databases, ensuring users benefit from refined prompts across different applications.

Benefits of Krot’s Smart Prompt Generator

1. Enhanced Efficiency

Streamlining question formulation, the tool enables users to access relevant information quickly, boosting productivity.

2. Increased Accessibility

Lowering the barrier to effective AI interactions, the Smart Prompt Generator makes advanced technologies accessible to a wider audience.

3. Improved Outcomes

By helping users craft precise and relevant queries, the tool enhances the quality of insights derived from AI systems.

Also Read: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

Overcoming Challenges

1. Complexity of Natural Language Understanding

Krot’s advanced NLP capabilities ensure accurate interpretation and generation of relevant questions, continually improving the system’s performance.

2. User Adoption

Designed with user education and intuitive interfaces in mind, the Smart Prompt Generator encourages widespread adoption by making AI interactions more user-friendly.

3. Integration with Existing Systems

Krot.ai ensures seamless compatibility and integration with a wide range of AI platforms and data sources, offering robust support and ongoing development.

Save Results of Research and Development Queries

Krot can not only save the text, but also image results in its database. This feature was used by Infinity Turbine to help develop battery materials and compositions during development of Salgenx, the new grid-scale saltwater battery. By sending queries, then testing out results in real time, gave Salgenx the AI power of a team of scientists. Since AI has access to most of the scientific journals and studies, this can save huge amounts of time.

Using Proper Prompts Reduces Requests by Up to 50%, Alleviating Water Cooling Requirements for Energy-Intensive Chips and Systems

Recent research highlights that with every 20 to 50 AI queries, approximately half a liter (around 17 ounces) of fresh water is lost in the form of steam emissions. While this might not appear significant on an individual level, the cumulative impact of billions of AI queries worldwide presents a serious environmental concern. By refining the prompts used for AI queries, requests can be reduced by up to 50%. This reduction not only enhances the efficiency of data processing but also significantly decreases the water cooling requirements of the energy-intensive chips and systems that power these computations.

Also Read: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post Krot.ai Unveils Revolutionary Smart Prompt Generator to Enhance AI Interactions appeared first on AiThority.

AI is a major disrupter, offering great benefits and free labor. However, small companies are being left behind while larger companies are embracing this new tech, writes Christine Telyan

In theory, AI represents a major opportunity for businesses of all sizes to unlock new opportunities and markets and to radically overhaul their operations. In some quarters, AI is being touted as a cure for all business ills. No matter what problem a business has, AI can solve it, enthusiasts say.

But while AI is certainly a disruptive force, we would be mistaken in thinking that its benefits are being distributed evenly. As it stands, AI is simply more useful for experienced teams than it is for solo entrepreneurs or, indeed, Mom-and-Pop type stores and businesses.

Also Read: Humanoid Robots And Their Potential Impact On the Future of Work

Small businesses, the vast majority of which have two employees or fewer, simply don’t have the time, knowledge or expertise to take full advantage of these new AI tools. Yes, theoretically, AI could save them vast amounts of time and enable all sorts of new activities. But many small business owners are so heavily focused on the day-to-day of their companies that learning how to effectively use new software, even a relatively straightforward one like ChatGPT, is more challenging and daunting than people think.

We surveyed our own customers and received over 800 responses. The message on AI was very clear. Only a quarter of small businesses regularly use AI-powered tools. So, despite all the commentary and discussion, 75 percent of small businesses have yet to embrace these new tools—even though many are low cost relative to the time saved. While other studies have shown that small businesses are widely adopting AI, such studies consider small businesses to be companies with up to 100 employees; the experience of such businesses is vastly different from the mom-and-pops we surveyed.

Indeed, for larger businesses, things look rather different. Surveys suggest that roughly 75 percent of medium and large businesses are using AI regularly. These results suggest that, rather than being a leveler and democratizing force, AI is creating a chasm between larger businesses and small ones. As one of my team suggested, AI could stand for ‘Absolute Inequality’, unless small businesses get some help.

Our survey revealed that nearly half (48%) of small business owners work more than 60 hours per week, with more than 73% working over 40 hours weekly. So small businesses are still working very long hours. So why aren’t they employing digital tools to make life easier? We all know tech can be used to schedule meetings and client calls, improve inventory management, track expenses, create targeted marketing and more. But why aren’t small businesses using it?

Well, of course some are, and the 25 percent in our survey who regularly use AI are saving up to five hours per week. But it seems that some need more encouragement, help and, probably, the support of platforms that do more of the heavy lifting for them.

So, what steps can small businesses and organizations take to better embrace AI? Here are some simple steps and questions that I would recommend business leaders to consider.

Also Listen: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

Identify low-hanging fruit

Let’s start where it’s easiest to find success. Looking for simple, repetitive tasks is a good place. Make a list of activities that you do regularly and which eat into your time. Even if you don’t know how to automate these yet, at least be aware of what the problems are. Also, add to the list things you’d like to do more regularly but don’t have the time to do properly. A list of problems might not sound like a good start but these are low-hanging fruit for you to pick later.

Look for help

Don’t suffer alone. Now that you know areas where you can potentially automate, it’s worth asking others how to do this. Engage with small business development centers (SBDCs), business networks and professionals that can help.

Use voice-powered tech

One of the big pluses of AI is that so much can now be done with voice. You can speak so much faster than you can type text, so get into the habit of using your voice to write and issue commands. A very simple but powerful application of this is to use tools like Google Gemini or Microsoft Copilot which integrate with Gmail or Outlook respectively to draft, send, and manage emails via voice commands. This can extend further into task management.

Find user-friendly platforms

There are many AI-powered platforms covering everything from accounting to calendar management to website creation. Look for what others in your network are using. But if it feels like too much, then look for a platform that comes with a service attached, too. Some banks and accounting firms are now using AI tools to help business owners gain better insight into their spending patterns. At UENI, our web design and copywriting experts leverage AI in our proprietary tools to deliver powerful SEO content for pennies you’d pay elsewhere. It’s a smart strategy to work with organizations that know how to get the most out of AI for small businesses.

Do it only if it adds value

AI should either save you time or give you insight into how to do things better. If you are able to usefully save time with a chatbot on your website without compromising your customer’s experience too much or personalize email content, then it is worth carving the time to set these things up or getting help to do it. But always start with what your business uniquely needs to drive the tools you use.

Don’t miss this out: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post AI for Mom and Pop? Small businesses need help with AI appeared first on AiThority.

Efficiencies.AI, an innovative AIaaS (AI as a Service) provider officially launches their EQ AIgent™️ product and EfficienciesGPT in OpenAI’s ChatGPT store

Efficiencies.AI, an innovative AI as a Service company, has officially launched their product and services offering. Founded by contact center/service desk industry entrepreneurs & AI thought leaders, Efficiencies.AI aims to help small and medium-sized enterprises (SMEs) quickly adapt to the future of work without the need for major investments or lengthy AI consulting engagements.

Also Read: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

Product and Service Focus:

Efficiencies.AI provides cost-effective AI solutions via their out-of-box AI products as well as a variety of AI services using Google, Amazon, and Microsoft offerings, among others. Through a customizable AI as a Service subscription, companies can access AI automation experts who can be enabled to implement solutions via the customers cloud environment, or by using Efficiencies.AI pre-built tools, prompts and models that are available more quickly. For instance, Efficiencies.AI offers customizable EQ AIgents™ for tasks like sales, service, IT service desk, or appointment setting automation, which can be securely integrated without additional AI technology purchases. For companies not sure which use cases to begin with, their EfficienciesGPT for ChatGPT users is very busy providing end users access to their AI use case library of suggested AI starting points by business sector.

Addressing AI Hype and Adoption Barriers:

Recognizing the AI hesitation among companies between 100 to 10,000 employees, Efficiencies.AI offers end-to-end support to help executives identify and test AI opportunities intelligently. This approach aims to improve employee and customer experiences while achieving cost savings. Without the risks that many large enterprises are facing. “We’re very focused on making AI less artificial for all businesses & to level the AI playing field” said Josh Streets, founding investor & partner for Efficiencies.AI.

Strategic Vision and Market Potential:

Efficiencies.AI leverages the strengths of its founding partners and their global enterprise experience with AI, IT & CX. The company aims to democratize access to advanced AI capabilities, anticipating an AI as a Service market growth from $10B in 2023 to $289B by 2034. Anup Mehrotra, Senior Executive from Netsmartz, a US-based company and Strategic Partnership Advisor of Efficiencies.AI, highlighted the company’s ability to deploy AI strategies, resources, and tools rapidly, showcasing the potential of AI to I.T. business leaders & others.

Also Read: Extreme Networks and Intel Join Forces to Drive AI-Centric Product Innovation

Client Engagement and Future Prospects:

The company has already demonstrated its EQ AIgent™ chat and voice products to potential clients in Healthcare & Finance settings, resulting in immediate inquiries about availability and pricing. Their emotionally intelligent, AI agents are custom trained using natural language understanding & empathic voice responses. Efficiencies.AI founders & leaders are not new to AI and more announcements on key talent acquisitions are forthcoming.

lso Read: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post Efficiencies.AI Launches to Transform Small & Medium Business AI Landscape appeared first on AiThority.

CTO says the AI technology will have a “transformative impact” on the value delivered to customers

Endava, a global provider of digital transformation, agile development and intelligent automation services, announces a strategic deal with OpenAI to deploy ChatGPT Enterprise licenses to all of its 11,000+ global employees.

Also Read: AI and Big Data Governance: Challenges and Top Benefits

“AI is set to play a crucial role in revolutionising product innovation, streamlining business operations and shaping technologies to meet and exceed customer expectations”

The collaboration marks a significant step forward in Endava’s commitment to leveraging cutting-edge AI technology to drive results for its customers. The organization’s focus will be on using ChatGPT’s advanced language models and capabilities to enhance operations, drive innovation and help achieve accelerated impact for clients.

Also Read: Building a Content Supply Chain in the Era of Generative AI

“AI is set to play a crucial role in revolutionising product innovation, streamlining business operations and shaping technologies to meet and exceed customer expectations,” said Matt Cloke, Endava’s CTO. “OpenAI is at the forefront of generative AI technology and through ChatGPT Enterprise, Endava gains access to enterprise-grade security and privacy with the most powerful version of ChatGPT yet. As we embark on this journey, I look forward to seeing the transformative impact it will have on our work and the value we deliver to our clients.”

A team of “ChatGPT Champions” from across business functions have already piloted the technology over a number of months, integrating it with internal systems to establish best practices and pave the way for a seamless, company-wide integration. To ensure that employees maximise the benefits of this powerful tool whilst using it responsibly, Endava will launch a mandatory training module on the use of AI.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post Endava Partners with OpenAI to Deploy ChatGPT Enterprise Throughout Organisation appeared first on AiThority.

Dive into the world of AI, tech, and innovation as we bring you the latest and most viral stories buzzing across the digital and AI arena, top thought leadership insights, and more.

From breakthroughs in AI and Machine learning to advancements across the tech domain, our curation keeps you informed and updated. Whether it’s a glimpse into the future of AI or a spotlight on ground-breaking research, these highlights will give you the overall tech industry updates.

Explore the frontiers of AI technology, one headline at a time.

1.Commvault Appoints Pranay Ahlawat as Chief Technology and AI Officer  

Commvault has appointed Pranay Ahlawat as its first Chief Technology and AI Officer. Ahlawat will lead Commvault’s product development, focusing on improving cyber resilience with modern AI technologies. He will report to Rajiv Kottomtharayil, the Chief Product Officer. Ahlawat brings extensive experience in AI, cloud, and infrastructure software from his previous roles at Boston Consulting Group, where he advised SaaS companies on product innovation. Ahlawat aims to create cutting-edge cyber resilience solutions to tackle security challenges. Rajiv Kottomtharayil stated that Ahlawat’s expertise will help Commvault develop advanced AI-driven solutions for their Data Management and Cyber Recovery Platform.

2.Accenture Pioneers Custom Llama LLM Models with NVIDIA AI Foundry  

Accenture has launched the AI Refinery framework using NVIDIA AI Foundry to help clients build custom Large Language Models (LLMs) with Meta’s Llama 3.1 models. This framework allows enterprises to refine LLMs with their data and processes, creating AI systems that fit their specific needs. It represents a significant advancement in generative AI for businesses, enabling them to develop domain-specific knowledge and deploy powerful AI solutions tailored to their industries. Accenture’s CEO, Julie Sweet, highlights the transformative potential of generative AI, while NVIDIA’s CEO, Jensen Huang, emphasizes the framework’s role in driving business growth and innovation.

3.Snowflake Teams Up with Meta to Host and Optimize New Flagship Model Family in Snowflake Cortex AI  

Snowflake hosts Meta’s Llama 3.1 models in its Cortex AI, enabling enterprises to build and scale custom AI applications. The Llama 3.1 405B model will benefit from Snowflake’s optimized inference and fine-tuning systems, offering real-time, high-throughput performance on a single GPU. This makes advanced AI accessible without complex infrastructure. Snowflake’s AI Research Team has also open-sourced its optimization stack, enhancing Llama models’ efficiency. Snowflake ensures AI safety with Cortex Guard, which protects against harmful content. The framework supports businesses in creating tailored, powerful AI solutions while ensuring trust and safety in their AI applications.

4.ServiceNow Acquires Raytion to Boost AI-Powered Search and Knowledge Management  

ServiceNow has acquired Raytion to boost its GenAI-powered search and knowledge management on the Now Platform. Raytion’s advanced information retrieval tech will enable real-time, unified access to critical data across various sources. This integration will enhance ServiceNow’s AI search capabilities, making it easier for users to find relevant information without knowing its exact location. The combined technology aims to improve data accessibility, personalize search results, and support efficient problem-solving across enterprises. This acquisition supports ServiceNow’s goal of transforming business processes and enhancing the user experience with smarter, more integrated AI solutions.

5.Shaip Launches AI Platform for Application Evaluation and Monitoring  

Shaip has launched its Generative AI Platform to tackle issues in data quality, model performance, scalability, and regulatory compliance. This platform supports the entire lifecycle of Large Language Model (LLM) development, from ethical data generation to real-time system monitoring. It offers high-quality, diverse data, tools for experimentation and evaluation with automated metrics, and real-time performance tracking. Key features include support for synthetic and user-provided data, model comparison, and compliance with ethical standards. The platform is designed for various AI applications and provides flexible cloud and on-premise integration options.

6.Hitachi Vantara Releases Hitachi iQ and AI Discovery Service  

Hitachi Vantara has launched the Hitachi iQ portfolio, which includes AI-ready infrastructure, solutions, and services. The first offering, certified by NVIDIA DGX BasePOD, ensures high performance and reliability for AI applications. Hitachi iQ features the Hitachi Content Software for File, providing speed and efficiency to accelerate insights and drive business outcomes. With many organizations prioritizing generative AI, Hitachi Vantara’s solutions meet rigorous standards for handling demanding AI workloads. Additionally, the company offers an AI Discovery Service to help customers identify valuable AI use cases, assess data readiness, and develop a strategic AI implementation roadmap.

AI Trends Spotlight: Weekly Expert Perspectives on AI

AiThority Interview with Vikram Murali, VP of Software Development, Application Modernization, and IT Automation at IBM 

AIThority: Voice of the Week

Vikram, Vice President of Software Development at IBM Automation, has nearly two decades of experience at IBM. He previously led the development of Watsonx.data and now oversees software solutions in IT and Network Automation. IBM Concert helps application owners by transforming siloed data into actionable insights, improving efficiency and outcomes through AI. Generative AI (GenAI) is advancing business productivity and customization. IBM Concert aids IT teams in managing compliance and application performance, addressing myths about AI skill gaps. Vikram suggests using AI to augment human intelligence, ensuring transparency in AI interactions, and providing employee training for effective AI integration.

AiThority Interview with Steve Womer, SVP of Engineering at Interface Systems  

Steve’s technology career began with an internship at Educate Online, evolving into roles at Industry Retail Group and a startup focused on SD-WAN. At Interface Systems, he enhances sales engineering and integrates AI with video and security technologies. Interface manages network infrastructure by standardizing physical installations and using redundant connections. Cloud and AI technologies streamline operations and improve client services, like advanced video analytics and AI-driven insights. A recent success involved streamlining technology for a Car Wash chain, enhancing their efficiency. Looking ahead, Steve envisions AI handling routine tasks and improving compliance through real-time analytics, though complex safety scenarios remain AI’s future challenge.

Essential Reads You Can’t Miss

Building a Content Supply Chain in the Era of Generative AI  

Must-catch Staff Article

Executives are eager to use generative AI due to the rapid growth in content demand, projected to rise 5-20X in two years. This technology helps meet the demand efficiently and cost-effectively. However, it also introduces risks, like violating enterprise style guides that ensure content consistency and compliance. Style guides are crucial for maintaining tone, avoiding legal issues, and protecting brand reputation. As content volume grows, scaling production safely requires a structured content supply chain with quality assurance. Automating content scoring and alignment with style guides can help manage this scale and maintain high standards.

Understanding Shadow AI: Key steps to Protect your Business  

AI is now a part of daily life, with 55% of Americans using it daily and 27% almost constantly. This includes workplaces, leading to “Shadow AI”—employees using AI tools without company approval. While Shadow AI can boost productivity, it also introduces risks such as security breaches, privacy issues, and compliance problems. Unlike Shadow IT, which involves unauthorized software use, Shadow AI specifically refers to unsanctioned AI tools. These unmonitored tools can compromise data security, quality, and operational consistency, and may lead to legal and compliance challenges. Companies must address these risks to safely integrate AI technologies.

This Week’s Insightful AI Quotes

“Outsourcing offshore has helped continue to push the cost model down, the next level is outsourcing to AI. There are a few areas where I see this coming into focus. “ – Steve Womer, SVP of Engineering at Interface Systems

“AI-powered tools can help organizations fulfill compliance requirements by helping them effectively manage application performance and security certificates ” –Vikram Murali, VP of Software Development, Application Modernization, and IT Automation at IBM

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post AiThority’s Weekly AI Buzz for the Week Ending July 26th: Major AI Updates To Read About appeared first on AiThority.

In the grand tapestry of human progress, few threads are as prominent as the evolution of technology. From the invention of the wheel to the dawn of the internet, each advancement reshaped the fabric of our society and fundamentally altered the way we live, work, and interact. AI will inevitably be no different.

News of OpenAI halting the use of one of its ChatGPT voices after Scarlett Johansson reported it sounded “eerily similar” to her own is the latest example of how technological evolution requires more accountability. The onus currently falls on the AI creator, as seen in various scenarios of problematic AI hallucinations when incorrect or misleading results generated by AI models occur. But playing the tech blame game fails to consider accountability from the other party involved: the user.

Also Read: AiThority Interview with Nicole Janssen, Co-Founder and Co-CEO of AltaML

From Google’s I/O and OpenAI’s GPT-4o to the growing catalog of widely accessible AI solutions, we are at a critical juncture where innovation and accountability intersect, and while it’s exciting, we as a collective society must choose our next move wisely.

AI-Era Is Here

As AI presents more solutions once confined to science fiction, the ramifications of emerging technologies have only begun to reveal concerns many can’t fathom. A recent report detailed the issues surrounding AI bias and its link to diversity and inclusion in hiring practices. Similarly, The New York Times shed light on deepfakes that perpetuate false narratives and manipulate public opinion. Both examples serve as poignant reminders of the dual nature of technological advancement: a balancing act between the benefits of innovation and collective due diligence.

When NVIDIA CEO Jensen Huang boldly asserted AI hallucinations are solvable at GTC this year, he put the onus on the average AI user to examine the source and the context. And while there are many other mitigation techniques to troubleshoot, such as prompt engineering, implementing guardrails, and enabling grounding, Huang’s media literacy approach to solving hallucinations raises an important point for all users to consider: with great power of AI comes great responsibility for the ethical use and stewardship of these powerful tools.

Double-Edged Sword: Benefits vs. Responsibility

AI – specifically Generative AI (Gen AI) – is at the center of this epoch of efficiency consuming the business world, and a staggering 80% of decision-makers surveyed by Forrester Consulting say the importance of Gen AI is expected to only increase in the next 12 months. Gen AI is empowering organizations to streamline their decision-making processes, automate more mundane tasks, and optimize workflows. It’s even driving more productivity and creativity in the educational sector. For organizations to ignore such advancements would be unrealistic.

The capabilities that make AI promising also present significant risks if left unchecked; just consider the rise of deepfakes, a phenomenon enabled by AI to create convincing but entirely fabricated audio and video content. These digital manipulations potentially sow discord, spread disinformation, and erode trust in public institutions and the media. In a world reliant on digital communication and media consumption, the consequences of such manipulations are pervasive and profound.

Beyond misinformation and bias, over-reliance on AI fosters a passive acceptance of information without vital examination, depleting the foundations of rational decision-making. A lack of critical thinking impairs the integrity of our processes and leaves us vulnerable to exploitation and deception. This is pertinent when considering the volume of businesses worldwide deploying Gen AI – or practically throwing everything at the wall to see what sticks without strategy or guidance – continues to not only grow but reveal stark challenges to address that makes over-reliance a concern.

Also Read: How AI Is Propelling the Intelligent Virtual Assistants Into a New Epoch?

AI hallucinations serve as a stark reminder of the perils from unchecked reliance on technology. Without accountability measures and fact-checking protocols in place, these hallucinations proliferate rampant false narratives and distort our understanding of the world around us.

The dichotomy of AI’s immense benefits and massive responsibility is clear: while AI revolutionizes industries and improves lives, its potential for misuse and unintended consequences can’t be ignored. Simply put, the more our technology evolves, the more accountable we must be for our actions.

Individual Accountability and Collective Awareness

It’s compulsory to cultivate critical thinking skills and maintain a healthy skepticism to information we encounter online through continuously questioning the validity of sources and scrutinizing content we consume.

We, as individuals, must exercise the same power we use to debunk myths and validate a news story in mere seconds to audit AI. Collectively, governance and skill development will be inherent to successful AI and Gen AI comprehension, whether it be at home or in the office. According to Forrester, 80% of business leaders say their employees aren’t aware of certain use cases and struggle to understand Gen AI due to its complexity, while 79% are concerned with their organization’s ability to execute on current Gen AI goals based on the current level of expertise.

By mastering individual accountability, we can graduate to a higher collective awareness needed to develop extensive AI strategies that promote governance and skill development – and in turn, fight the very threats of AI hallucinations and deepfakes we grapple with today.

To further ensure responsible AI use and responsive AI implementation, there are ways organizations can advocate AI accountability:

• Foster a culture of accountability and transparency, ensuring ethical development and deployment of AI.
• Implement accountability measures and establish clear guidelines for AI systems to mitigate misuse and promote responsible innovation.
• Invest in employee training and education on AI ethics and best practices to make informed decisions and uphold ethical standards at work.
• Use tools and practices for fact-checking to verify the accuracy of information and prevent the proliferation of falsehoods online.
• Stay informed on the significance of emerging AI technologies to understand proper use and potential impacts on society.
• Test AI systems for biases before rolling them out.
• Add safety and security guardrails that avoid sensitive data exposure and hallucinations.

AI is far from perfect; there will be no shortage of AI mistakes we’ll witness in the years to come, but the realm of Gen AI is where my optimism truly lies, as its evolution of the orchestration layer is a strong indicator of what we can expect in the future – a world where Gen AI will use its linguistic prowess to solve complex problems, responsibly. Like many technologies we’ve witnessed throughout history, AI too will be engrained in many aspects of our lives. It’s important to remember today’s AI mistakes are the stepping stones to getting where we want to be tomorrow.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post The More Tech Evolves, The More Accountable We Become appeared first on AiThority.

Company also announces general availability of Momento Topics, for dependable low-latency messaging between any number of devices and servers

Momento, the real-time data platform founded by the engineering team that built DynamoDB, today announced it raised $15 million in a Series A round led by Bain Capital Ventures to expand on its vision of powerful, hassle-free infrastructure for interactive experiences at global scale.

At a time when users demand more capable, trustworthy products, developers can no longer afford the cumbersome complexities of legacy cloud infrastructure. Momento delivers robust cloud primitives like cache, storage, and pub/sub that empower developers to safely and reliably serve a massive global audience. In the race to ship new AI features, Momento accelerates growth at critical moments through intelligent resource management that efficiently eliminates risks and downtime.

Also Read: Survey Reveals Only 20 Percent of Senior IT Leaders Are Using Generative AI in Production

“The AI revolution requires enterprises to move faster than ever, which leaves them with even less time to build, harden, and operate their infrastructure,” said Daniela Miao, co-founder and CTO of Momento. “Shipping better products faster than everyone else is now table stakes for survival. Your engineers need a rocketship that’s ready to fly, now.”

Founded in 2021, Momento now serves a global customer base that includes CBS, Wyze, ProSieben, NTT DOCOMO, Paramount, and Taco Bell. This year, Momento was named in both Redpoint Ventures’ InfraRed 100 list and Menlo Ventures’ Modern AI Stack, reflecting how customers have relied on Momento to power new AI-enabled products as diverse as automated remarketing or agricultural IoT.

“Momento is on a mission to help enterprises ship faster than ever! We’re thrilled to have Bain Capital Ventures and The General Partnership, our visionary investors, double down on their commitment to our mission,” said Khawaja Shams, co-founder and CEO of Momento. “Our platform has a proven track record of accelerating mission-critical hyperscale applications for industry leaders in Gaming, M&E, FinTech, and more. This investment will allow us to expand enterprise support and solidify our go-to-market motion.”

Returning investors Bain Capital Ventures and The General Partnership pre-empted the latest round, a sign of confidence in the company’s growth. Additional angel investors include Marianna Tessel (EVP and General Manager at Intuit), Neha Narkhede (co-founder of Confluent), Tom Killalea (first CISO of Amazon), Don MacAskill (CEO of Flickr/SmugMug), and John Lilly (former CEO of Mozilla). Momento plans to use the funding to accelerate enterprise sales and to expand the platform’s feature set, with a focus on supporting new AI workloads.

“Momento is on the leading-edge of a massive opportunity: simplifying real-time architecture at enterprise scale,” said Aaref Hilaly, partner at Bain Capital Ventures. “The companies that make it cost effective and easy to build and operate in the cloud will win in today’s rapidly changing business environment, and Momento has the right team and technology in place to meet this moment.”

Also Read: AMD to Acquire Silo AI to Expand Enterprise AI Solutions Globally

Momento Topics Now Generally Available

Momento Topics is a pub/sub messaging service optimized for real-time many-to-many communication at global scale. With unparalleled security and scalability, Momento Topics enables developers to build robust live applications that deliver instant updates to millions of users. Notable capabilities include:

• Reliable low-latency event bus capable of handling massive bursts in traffic
• Rich feature set including authentication, access control, and encryption
• Intelligent control plane efficiently manages resources to eliminate downtime

Momento Topics is in use by half of Momento’s customers, including major video streaming platforms and AAA gaming studios. Momento Topics’ simple yet powerful model for message delivery has enabled customers to rapidly deploy and scale interactive chat agents that integrate with leading public LLMs like ChatGPT, or to process surges of real-time events that feed into their own proprietary decision models.

“Directly managing low-level technologies like Redis clusters or WebSockets is a costly distraction for our engineers, especially when the industry is evolving faster than ever,” said Yoshikazu Akinaga, CEO of DOCOMO Innovations. “With Momento Cache and Topics, we can confidently deploy a simpler architecture that scales even more reliably. In the end, Momento frees up time for us to develop the new products that make us successful.”

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post Momento Raises $15 Million to Accelerate Hyperscale AI Products appeared first on AiThority.

The post Exa Raises $22MM to Build the Search Engine for AI appeared first on AiThority.