AI – Digital IT News

Symmetry Boosts Data+AI Security Suite with ConfusedPilot Protection

Taylor Graham — Wed, 23 Oct 2024 14:00:57 +0000

Symmetry Systems announced a major expansion of its Data+AI Security and DSPM capabilities to address the rising threat of ConfusedPilot attacks. This upgrade underscores Symmetry’s dedication to promoting the secure adoption of Gen AI technologies, including Microsoft Copilot and other AI agents in modern enterprises. The enhanced product line provides organizations with robust protection for their data estate, guarding against emerging threats posed by AI agents like Copilot, and defending against advanced attacks that could compromise AI-assisted decision-making processes.

Addressing the ConfusedPilot Threat

ConfusedPilot attacks, a term coined by University of Texas at Austin students mentored by Symmetry CEO Dr. Mohit Tiwari, represent a new class of threats targeting RAG-based systems like Microsoft Copilot. These attacks can lead to the dissemination of misinformation, potentially compromising critical decision-making processes within enterprises.

“The research into ConfusedPilot attacks highlights the asymmetry of AI security threats – these attacks are as easy as uploading a file, but defending against them is difficult,” said Dr. Mohit Tiwari, CEO of Symmetry Systems. “Our enhanced Data+AI Security suite now provides robust protection against Confused Pilot attacks, ensuring that organizations can confidently leverage AI technologies without compromising data integrity or decision-making processes.”

Key Features of the Enhanced Data+AI Security Suite

This enhanced product line offers six key capabilities:

Advanced Document Scanning: Utilizes Symmetry’s advanced data discovery and classification algorithms to identify potentially malicious documents that could be used in ConfusedPilot attacks.
Content Integrity Monitoring: Implements checks to monitor the origin, authenticity and integrity of data used by RAG-based systems, and alert on changes by unauthorized personnel.
Decision Impact Analysis: Provides insights into how potentially compromised data could affect enterprise decision-making processes.
Prompt Monitoring: Searches, monitors, and alerts on suspicious prompts being used across the enterprise.
Information Flow Barriers: Implements Data Firewalls to segment data sources for users, ensuring appropriate access controls.
External Data Source Alerting: Monitors and alerts on the use of external data sources that could potentially introduce vulnerabilities.

Comprehensive Protection for the AI Era

This update to Symmetry’s Data+AI Security suite complements Symmetry’s existing capabilities and offers businesses a holistic approach to Data+AI security, covering everything from deployment readiness to ongoing threat protection.

“As organizations rapidly adopt AI tools like Microsoft Copilot, the need for cohesive security measures that look at both the data+AI has never been more critical,” added Tiwari. “Our expanded capabilities not only address immediate threats but also prepare businesses for the future of AI in the workplace.”

Availability and Implementation

The enhanced Data+AI Security suite with ConfusedPilot protection is available as an add-on for existing Symmetry Systems customers and will be offered to all new clients. Symmetry’s team of expert consultants is prepared to assist organizations in implementing these new features and integrating them into their existing security frameworks.

Find our more at the Data+AI Security Summit 2024

For those interested in learning more about ConfusedPilot and other emerging threats in the AI security landscape, we invite you to join us at the Symmetry Data+AI Security Summit 2024. This event will bring together industry experts, researchers, and practitioners to discuss the latest developments in AI security. For more information and to register, please visit the website here.

To learn more about Symmetry Systems expansion of its Data+AI Security and DSPM capabilities to combat the emerging threat of ConfusedPilot attacks, visit the website here.

Cohesity Announces New AI Enhancements for Visual Data Explorer

Taylor Graham — Tue, 22 Oct 2024 13:30:09 +0000

Cohesity has unveiled a patent-pending visual data exploration feature as part of Cohesity Gaia, its AI-powered search assistant introduced earlier this year. This new capability visually categorizes themes across documents and files within a data set, offering fresh context to the data. The visual data explorer also suggests queries, helping users gain insights more quickly.

With traditional approaches, enterprises often struggle to gain insights across unstructured data and text. This challenge only grows as the amount of unstructured data increases. With unstructured data representing more than 80 percent of all corporate data, companies are often forced to run queries and compile reports based on a small subset of data—the information stored in structured systems. As a result, reports and analyses may be incomplete or inaccurate, with valuable insight still locked inside disparate unstructured systems.

Cohesity Gaia brings the power of generative AI to enterprise data, dramatically improving the speed and quality of insights available for a variety of use cases. The solution indexes and provides insight based on data stored in many popular formats, including emails, documents, PDFs, text files, spreadsheets, HTML, XML, and presentations.

Gain Insights Faster with Auto-Generated Themes and Topics for Thousands of Documents

One of the biggest challenges users face when working with vast datasets is having access to data but not knowing where to begin or what valuable insights can be retrieved. Cohesity Gaia overcomes this by automatically providing a visual representation of the data, sorted by themes, giving users a clear starting point. The new visual explorer uses topic modeling, a set of advanced AI techniques with natural language processing, to instantly identify hidden thematic structures across documents and files. This deep insight and context into the nature of the data offers a framework for better understanding, empowering users to ask more informed and targeted questions as they search.

The Gaia visual data explorer further simplifies this process by allowing users to click through each theme, ask conversational questions, and interact with intelligent, context-aware prompts to quickly find the most relevant information. Aligned with Cohesity’s responsible AI commitment, Gaia gives customers insight into their data while keeping it secure and compliant with regulatory requirements.

Cohesity will host a series of AI workshops to give customers and prospects a hands-on look at the first-of-its-kind visual data explorer and learn more about how Cohesity Gaia can help unlock new insights from their business. For more information on the AI workshops, visit our website.

“By addressing the challenge of managing and extracting insights from unstructured data across disparate systems, Cohesity Gaia and its new visual data explorer have the potential to revolutionize data accessibility for enterprises,” said Chirag Mehta, Principal Cybersecurity Analyst with Constellation Research. “This innovation not only could enhance data security and compliance but could also empower business users of enterprise customers with deeper, more contextual insights, significantly benefiting the decision-making process and operational efficiency.”

Access Vast Amounts of Data Stored in Sharepoint and NAS environments with Generative AI

Cohesity has also expanded support for new workloads and data sources within Gaia. Cohesity customers can now analyze corporate data protected on the Cohesity platform from Microsoft 365 Mail, Microsoft 365 Sharepoint, and Microsoft 365 OneDrive, as well as on-prem or cloud-based file servers, including popular systems like Dell EMC Isilon, Netapp NAS, physical file servers, and Cohesity Smartfiles.

The new visual data explorer feature in Cohesity Gaia visually maps customers’ data sets based on semantic indexing and creates a list of suggested questions and queries, illustrated here using test data.

To learn more about Cohesity Gaia visual data explorer, visit the website here.

Cohesity Data Cloud Updates and GenAI Detection and Recovery

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100% Fanless Direct Liquid Cooling Systems Architecture Announced by HPE

Taylor Graham — Thu, 10 Oct 2024 20:30:13 +0000

Hewlett Packard Enterprise (HPE) unveiled the industry’s first 100% fanless direct liquid cooling architecture, designed to improve energy and cost efficiency for large-scale AI deployments. The innovation was introduced during HPE’s AI Day at one of its cutting-edge AI systems manufacturing facilities, where the company highlighted its AI expertise and leadership across enterprises, sovereign governments, service providers, and model builders.

Industry’s first 100% fanless direct liquid cooling system

While efficiency has improved in next-generation accelerators, power consumption is continuing to intensify with AI adoption, outstripping traditional cooling techniques.

Organizations running large AI workloads will need to do so more efficiently. The most effective way to cool next-generation AI systems is through direct liquid cooling, of which HPE is a pioneer. This critical cooling technology has enabled HPE’s systems to deliver 7 of the top 10 supercomputers on the Green500 list, which ranks the world’s most energy-efficient supercomputers.

Based on this expertise, HPE’s 100% fanless direct liquid cooling architecture, introduced today, brings the cost and energy efficiency benefits sovereign AI deployments are already enjoying to a broader set of organizations building large-scale generative AI.

“As organizations embrace the possibilities created by generative AI, they also must advance sustainability goals, combat escalating power requirements, and lower operational costs,” said Antonio Neri, president and CEO of HPE. “The architecture we unveiled today uses only liquid cooling, delivering greater energy and cost-efficiency advantages than the alternative solutions on the market. In fact, this direct liquid cooling architecture has the potential to yield a 90% reduction in cooling power consumption as compared to traditional air-cooled systems. HPE’s expertise deploying the world’s largest liquid-cooled IT environments and our market leadership spanning several decades put us in an excellent position to continue to capture AI demand.”

The system architecture is built on four pillars:

An 8-element cooling design that includes liquid cooling for the GPU, CPU, full server blade, local storage, network fabric, rack/cabinet, pod/cluster and coolant distribution unit (CDU)
High-density and high-performance system design, complete with rigorous testing, monitoring software, and on-site services to support successful deployment of these sophisticated compute and cooling systems
Integrated network fabric design for massive scale integrating lower-cost and lower-power connections
Open system design to offer flexibility of choice in accelerators

The 100% fanless direct liquid cooling architecture delivers unique benefits — including a 37% reduction in cooling power required per server blade, when compared to hybrid direct liquid cooling alone. This reduces utility costs, carbon production and data center fan noise. In addition, because systems using this architecture can support greater server cabinet density, they consume less floor space.

HPE’s leadership and unique market opportunity

At AI Day, Antonio Neri, president and CEO; Fidelma Russo, EVP & GM, Hybrid Cloud and HPE CTO; and Neil MacDonald, EVP & GM, Server; discussed how the HPE portfolio comprises the critical building blocks of networking, storage and hybrid cloud to deliver on the promise of AI.

Read about Neri’s reflections on HPE’s AI Day and thoughts on the release of the 100% Fanless Direct Liquid Cooling architecture in his blog post here.

Morpheus Will Enhance HPE GreenLake by Adding Multicloud Automation

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US Technology Leaders Tap NVIDIA to Create Custom AI Applications

Taylor Graham — Wed, 09 Oct 2024 18:00:01 +0000

NVIDIA announced it is teaming up with U.S. technology leaders to assist organizations develop custom AI applications and revolutionize industries using the latest NVIDIA NIM Agent Blueprints, along with NVIDIA NeMo and NVIDIA NIM microservices.

Across industries, organizations like AT&T, Lowe’s and the University of Florida are using the microservices to create their own data-driven AI flywheels to power custom generative AI applications.

U.S. technology consulting leaders Accenture, Deloitte, Quantiphi and SoftServe are adopting NVIDIA NIM Agent Blueprints and NVIDIA NeMo and NIM microservices to help clients in healthcare, manufacturing, telecommunications, financial services and retail create custom generative AI agents and copilots.

Data and AI platform leaders Cadence, Cloudera, DataStax, Google Cloud, NetApp, SAP, ServiceNow and Teradata are advancing their data and AI platforms with NVIDIA NIM.

“AI is driving transformation and shaping the future of global industries,” said Jensen Huang, founder and CEO of NVIDIA. “In collaboration with U.S. companies, universities and government agencies, NVIDIA will help advance AI adoption to boost productivity and drive economic growth.”

NVIDIA NeMo Microservices for Precision-Tailored Generative AI
NVIDIA NeMo microservices support end-to-end model customization workflows and the development of AI agents to help enterprises bring custom generative AI applications to market faster, reducing development costs.

New NeMo microservices — NeMo Customizer, NeMo Evaluator and NeMo Guardrails — can be paired with NIM microservices to help developers easily curate data at scale, customize and evaluate models, and manage responses to align with business objectives. Developers can then seamlessly deploy a custom NIM microservice across any GPU-accelerated cloud, data center or workstation.

New NVIDIA NIM Agent Blueprint for Software Security Now Available
To provide a jump-start for developers, NVIDIA offers NIM Agent Blueprints — reference workflows that provide a guide for developing applications built with NVIDIA NeMo and NIM microservices.

NIM Agent Blueprints help accelerate AI deployments for key enterprise use cases, including drug discovery, customer service and data extraction. A new blueprint for software container security is available today.

Developers can experiment with NeMo and NIM microservices, as well as NVIDIA NIM Agent Blueprints, at no charge. Enterprises can deploy applications in production with enterprise-grade security, support and stability through the NVIDIA AI Enterprise software platform.

NVIDIA Microservices Build Custom AI Agents for Industries
Leaders across industries are using NVIDIA AI to improve telecommunications, education and security.

AT&T is working with Quantiphi to build a conversational platform, using NVIDIA NIM, that can support employees with software development, network engineering and financial services tasks.
The University of Florida has adopted NVIDIA NIM and NeMo to advance its learning management system, based on retrieval-augmented generation, that helps teaching assistants improve student success and retention.
Lowe’s, a FORTUNE 50 home improvement company, is exploring the use of NVIDIA NIM and NeMo microservices to improve experiences for associates and customers and enhance productivity of their store associates. For example, the retailer is leveraging NVIDIA NeMo Guardrails to enhance the safety and security of its generative AI solution platform.

Global Consulting Giants Accelerate AI Adoption With NeMo
NVIDIA global service provider and service delivery partners are helping companies across industries use NVIDIA NeMo and NIM microservices and NIM Agent Blueprints to build custom AI applications that tap into business data.

Accenture is helping clients build domain-specific AI agents using NVIDIA NeMo and NIM microservices through its AI Refinery and the Accenture NVIDIA Business Group.
Deloitte is integrating the latest NVIDIA NIM Agent Blueprint into its cybersecurity solutions, which will help enterprises accelerate software vulnerability analysis and mitigation at scale.
SoftServe’s generative AI Industrial Assistant, which uses NeMo and NIM microservices, improves safety and efficiency in industrial manufacturing by making equipment manuals more accessible and providing factory workers real-time guidance on troubleshooting and maintenance.

Data and AI Platforms Advance Insight With NeMo and NIM Microservices
NVIDIA AI ecosystem partners Cadence, Cloudera, DataStax, Google Cloud, NetApp, SAP, ServiceNow and Teradata are using NeMo and NIM microservices to build customized generative AI applications with optimized inference.

Cloudera today unveiled an AI Inference Service with embedded NIM that will allow developers to build, customize and deploy enterprise-grade large language models with up to 36x faster inference performance.
Google Cloud is integrating NIM into Google Kubernetes Engine to provide enterprise customers with a simplified path for deploying optimized models directly from the Google Cloud Marketplace.
SAP will use NIM microservices to deploy custom generative AI applications for its clients.
ServiceNow is one of the first to adopt NeMo and NIM microservices, and recently announced its plans to also adopt NVIDIA NIM Agent Blueprints to power generative AI use cases for several U.S. government agencies. ServiceNow’s technology also enables organizations to create custom generative AI agents that can reinvent work across the entire enterprise.
Teradata is integrating NVIDIA AI Enterprise into its Vantage platform to enable more efficient development and deployment of trusted generative AI applications.

Availability
Developers can access NVIDIA AI software, including NIM microservices, through the NVIDIA API catalog, as well as experiment with the microservices for free using an NVIDIA Developer license.

To learn more about NVIDIA and the creation of custom AI applications, visit the website here.

NVIDIA AI Foundry Builds Custom Llama 3.1 AI Models for Enterprises

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VirtusX Introduces the New Jethro V1 AI Mouse

Taylor Graham — Thu, 26 Sep 2024 16:30:23 +0000

The VirtusX team is thrilled to launch the Jethro V1 AI Mouse—an advanced assistant powered by OpenAI’s ChatGPT. Kickstarter VIPs can enjoy this state-of-the-art AI mouse without any subscription fees.

VirtusX is committed to harnessing AI for the greater good, and with the recent unveiling of its flagship Jethro V1 AI Mouse, users will soon have access to a groundbreaking, first-of-its-kind AI mouse. This innovative device features an embedded microphone and integrates advanced AI technology, transforming daily life by significantly enhancing productivity and efficiency.

IDAP research indicates that nearly 97% of mobile users are leveraging AI-powered voice assistants for both professional and personal purposes. While Siri, Alexa, and Google Assistant have gained widespread popularity, they primarily function on mobile phones and tablets, leaving a gap for computer and laptop users.

The VirtusX Jethro V1 AI Mouse is sleek, streamlined, and smartly crafted. Designed for daily use, this Bluetooth mouse seamlessly connects with laptops and desktops for simple and convenient use. While it functions as a classic mouse, the Jethro mouse is unlike any other peripheral device on the market today. It features powerful OpenAI ChatGPT software that yields the ultimate productivity tool. When people use Jethro V1, they have the most advanced AI assistant in the palm of their hand. “Imagine having ChatGPT available on-demand as you’re working, playing game, or surfing the web,” said a spokesperson for VirtusX. “That’s what our new Jethro V1 AI Mouse has to offer.”

To be specific, this groundbreaking new device features an AI Smart Toolbar that offers an on-screen presence that coordinates the user experience for seamless one-click translation, rewriting, expanding, shortening, and summarizing text. People can leverage the Jethro V1 AI Mouse for PowerPoint generation, image creation, and voice typing and translation in more than 100 languages. The built-in OCR and document reader allows the AI Mouse to summarize any document in mere seconds, and voice-to-text makes writing papers and e-mails easier than ever.

The VirtusX Jethro V1 AI Mouse was designed with ease of use in mind and is controlled via 3 pre-built AI buttons and a built-in microphone. There are no accounts or subscriptions required to use this mouse, which is the perfect addition to the home or office of anyone who can benefit from AI chatbots, writing tools, rewriting tools, image generation, summarization, and PowerPoint creation assistance. The AI Mouse features a 400mAh lithium ion battery that will serve users for up to 30 days on a single charge.

According to the team at VirtusX, the Jethro V1 AI Mouse will soon be launching on Kickstarter. When it makes its debut, people everywhere will have an opportunity to pledge to the launch of the mouse while getting exclusive perks in return. Stay up to date on the launch of the Jethro V1 AI Mouse by visiting the Kickstarter website here.

Absolute Security Adds AI Threat Insights Module to its SSE

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Absolute Security Adds AI Threat Insights Module to its SSE

Taylor Graham — Wed, 25 Sep 2024 17:00:13 +0000

Absolute Security has launched AI Threat Insights, a new AI-powered threat detection feature within its Absolute Secure Access Security Service Edge (SSE) solution. By enabling this module, customers can continuously monitor network traffic across PC fleets to detect and respond to zero-day threats, ransomware, malware, and suspicious activity from users, devices, and applications. The technology offers proactive alerts to help organizations anticipate and mitigate security risks, reduces false positives to boost productivity, and minimizes the attack surface by analyzing endpoint and network telemetry without rerouting traffic to the cloud.

“Organizations are spending billions of dollars to defend against threats and to make sure their mobile workforces remain securely connected to their networks. Despite these massive investments, they continue to get hit with advanced attacks, complexity, and human errors that result in catastrophic disruptions,” said Joe Savarese, Executive Vice President, Secure Access Products, Absolute Security. “Backed by AI and underpinned by the Absolute Cyber Resilience Platform, Secure Access now provides customers the ability not only to maintain the highest levels of performance and zero-trust connectivity available, but also to greatly reduce the risk of being infected with ransomware or impacted by negligent or malicious users.”

The global cost of cybercrime now extends into the trillions of dollars. A single, successful data breach can inflict millions of dollars in damages. Attacks targeting endpoints are becoming more frequent. The only way organizations can manage network risk in the modern threat landscape is by leveraging resilient AI and machine learning solutions that are always up to date, protected against vulnerabilities and threats, and fully operational. Absolute Secure Access customers with AI Threat Insights not only receive resilient, optimized connectivity across their hybrid and remote PC fleets, but also critical added benefits, including the ability to:

Monitor millions of network traffic flows and associated endpoint telemetry on endpoints, inside and outside of the Absolute encrypted tunnel, to detect, block, and prevent the spread of zero days, ransomware, and other malware.
Monitor all traffic traversing managed endpoints to detect potential threats and suspicious activities without having to divert traffic to the cloud, improving performance, eliminating latency, and further reducing the overall attack surface.
Identify suspicious activity quickly, pinpointing individual users, devices, networks, processes, and applications that may be creating high-risk situations.
Speed the identification, troubleshooting, and resolution of incidents, allowing costly disruptions and downtime to be avoided.
Protect business-critical data as well as customer and personally identifiable information (PII), reducing the risk of a data breach.
Achieve compliance with stringent standards including PCI DSS, HIPAA, GLBA, and other regulations.
Leverage firmware-embedded resilience to maintain maximum performance and connectivity, ensuring that Absolute Secure Access SSE is always up to date, protected against vulnerabilities, and fully operational.

“Telemetry is a double-edged sword. It is critical to establishing effective defenses that can detect and stop threats and bad behaviors, but it can also lead to overwhelming false alarms that destroy productivity and lead to missed events,” said Fernando Montenegro, Senior Principal Analyst, Omdia. “With mobile and remote connections expanding, platforms that can capture data in high volumes from the edge and leverage AI to convert it into actionable information are going to be increasingly in demand.”

Embedded in the firmware of more than 600 million PCs, the Absolute Cyber Resilience Platform is the foundation of a modern resilience infrastructure, providing endpoint visibility and control, vulnerability and patch management, secure remote access, application resilience, rapid incident recovery, and AI-enhanced threat detection. The platform’s unique position in the endpoint firmware ensures that from the moment devices are powered on, organizations will be able to ensure that operating systems (OS), applications, and critical security controls are always up to date, protected against vulnerabilities and threats, and fully operational.

Absolute AI Threat Insights is currently available to Secure Access SSE customers at no additional cost. To learn more about Absolute AI Threat Insights, read the blog here, “Absolute Unwraps AI Threat Insights.”

Menlo Security Identifies Sophisticated Phishing HEAT Campaigns

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Bitsgap AI Assistant Features to Enhance Crypto Trading

Taylor Graham — Tue, 17 Sep 2024 15:00:34 +0000

Bitsgap is excited to introduce its new AI Assistant features, aimed at helping traders stay profitable. With this launch, Bitsgap becomes the first platform to offer AI-driven portfolio management.

Leveraging seven years of experience in developing algorithmic and automated trading systems, Bitsgap has introduced the AI Assistant. This new feature enhances crypto bot trading by empowering users to leverage AI insights across all Bitsgap partner exchanges, including Binance, OKX, KuCoin, and others.

The AI Assistant takes this innovation to the next level by shifting the focus from managing individual trading bots to overseeing an entire portfolio. This advanced feature supports a broader range of assets, including Bitcoin, enabling traders to diversify their portfolios and engage in crypto-to-crypto trading.

Bitsgap AI analyzes thousands of pairs across all exchanges connected by the user and, based on back testing and algorithms, selects the most profitable automated trading strategies.

The bot has unique features such as portfolio management for easier control and a take-profit functionality that allows users to secure gains for an entire group of bots.

“With the AI Assistant, Bitsgap is setting a new standard in crypto trading,” said Max Kalmykov, CEO at Bitsgap. “Our AI-driven approach ensures that traders can navigate the volatile crypto market with confidence, backed by data-driven strategies to maximize profits.”

For more information about Bitsgap AI Assistant, visit the website here.

Cyber Threat Report Details Increase in Overall Cyberattacks

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Parallels Desktop 20 for Mac Launched with AI-Ready Virtual Machine

Taylor Graham — Thu, 12 Sep 2024 15:30:52 +0000

Parallels has unveiled Parallels Desktop 20 for Mac, a major release featuring new AI capabilities, including secure, downloadable AI-ready virtual machines that can be managed offline to simplify AI application development. It is fully compatible with macOS Sequoia and Windows 11 24H2 and introduces a management portal in the new Enterprise Edition, along with several updates for Windows, macOS, and Linux virtual machines.

Parallels Desktop is the only virtualization solution authorized by Microsoft to run Windows in a virtualized environment on Apple silicon. This gives developers and users choice across their favorite user and development environments.

“As PCs become more AI-capable, we believe AI will soon be standard on every desktop. This shift challenges developers to update their applications to fully leverage AI-enabled PCs,” said Prashant Ketkar, CTO at Parallels. “That’s why we created the Parallels AI Package: to equip development teams—whether experts or beginners—with accessible AI models and code suggestions. This enables ISVs to build AI-enabled applications in minutes, significantly boosting productivity for every software development team using a Mac.”

Key highlights of Parallels Desktop 20 include:

New Parallels AI Package*: To make AI development more accessible, this all-in-one solution includes a virtual machine pre-loaded with 14 AI development toolsets, sample code, and instructions, enabling developers to experiment with and deploy AI quickly. With just a click, users can download the Parallels virtual machine ready for AI and run a third-party small language model inside it, while completely disconnected from the Internet. The package offers offline, secure environments and allows users to customize resources and disable network access for enhanced privacy.
macOS Sequoia Compatibility: Users can enjoy Apple’s new AI-powered Writing Tools with Windows apps, sign in to Apple ID in macOS virtual machines on Apple silicon, and more (available when macOS Sequoia is released).
Windows 11 24H2 Support: Optimizations ensure users’ workflows remain uninterrupted while running legacy Windows apps which get up to an 80% performance boost** for some workloads thanks to the improved Prism emulator built into Windows 11 on Arm.
Seamless compatibility with Windows applications through new shared folders technology: Improves performance with a variety of apps and installers, such as Mathematica or NinjaTrader, and delivers up to 4x faster operations*** on Mac files in Linux VMs.

For Businesses:

New Enterprise Edition including Management Portal: The most advanced offering yet, designed for organizations needing greater control, visibility, and efficiency in managing Parallels Desktop virtual machines and security policies. The new Edition unlocks, advanced licensing option that supports both SSO and volume license, premium support and onboarding.
SOC 2 Report: Parallels Desktop has attained a SOC 2 Type 2 report and undergoes regular third-party penetration testing, supporting upholding standards for security and reliability.

For IT Pros and Developers:

Enhanced DevOps Services: Build software in Windows, Linux and macOS VMs on Macs anywhere.
Enhanced Visual Studio Code Extension: Simplifies access to the AI package and integrates Microsoft Copilot, allowing users to control virtual machines using natural language.
Snapshots and OCR-powered Packer: Enhanced features for macOS virtual machines on Apple Silicon Macs.

Parallels Desktop for Mac is an essential virtualization tool for professionals, developers, and individuals, whether it is for accessing Windows-applications, developing- or testing software, or to run multiple operating systems (such as Windows, Linux, or other macOS versions) simultaneously on Mac computers. For more information about Parallels Desktop 20 for Mac, visit the website here.

Trial and Availability

Parallels Desktop 20 for Mac Standard, Pro, and Business editions can be purchased or upgraded at the website or from authorized resellers worldwide.

Parallels Browser Isolation Solution Added to its Holistic Workspace Portfolio

*The Parallels AI Package is included at no additional cost in the Parallels Desktop for Mac Business and Enterprise editions. It is also available free of charge in the Parallels Desktop for Mac Pro Edition during 2024 only.

** Performance measurements conducted by Parallels by comparing the score produced by the x86 version of the test Floating Point Math from the Passmark 10 CPU Mark suite in Windows 23H2 (10.0.22621.3593) versus Windows 24H2 (10.0.26120.670) on MacBook Pro (M2 Max, (8+4) CPU, 96GiB RAM) with the virtual machine (4 CPU, 32GiB RAM). Measured using Parallels Desktop public version 19.4.1. The performance may vary based on usage, system configuration, and other factors.

*** Performance measurements conducted by Parallels by measuring the time it takes to copy 3000 (three thousand) files in 315 directories from the primary macOS 13.3 (22E252) to the Ubuntu Linux virtual machine (4 CPU, 8GiB RAM, Ubuntu Server 22.04) on MacBook Air (M2, (4+4) CPU, 32GiB RAM). Measured with a prerelease version of Parallels Desktop 20 versus the released version of Parallels Desktop 19. The performance may vary based on usage, system configuration, and other factors.

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ThinQ ON is Central to LG’s Affectionate Intelligence Home

Taylor Graham — Thu, 05 Sep 2024 17:30:39 +0000

LG Electronics (LG) is preparing to reveal its vision for the future of living at IFA 2024, presenting a full lineup of AI-powered home solutions designed to meet various needs and lifestyles, under the theme “Experience, Affectionate Intelligence (AI) Home.”

Central to LG’s Affectionate Intelligence Home is LG ThinQ ON, an advanced AI home hub designed to deliver comfort and convenience tailored to individual preferences. ThinQ ON seamlessly integrates with LG’s latest AI appliances, forming the core of the LG AI Home Solution. This system is driven by Affectionate Intelligence, LG’s empathetic and caring AI technology. As the AI Home Solution learns more about users’ routines, preferences and behaviors over time, it creates a personalized spatial experience, delivering unmatched customer value and bringing greater ease to everyday life.

The first thing visitors to the LG booth at IFA 2024 will encounter is the AI Home Gate, an immersive LED media wall that visually communicates how LG AI is deployed within the AI Home to elevate customer lifestyles.

Visitors will get to experience LG’s sophisticated generative AI technology through the ThinQ ON hub once they pass through the AI Home Gate. ThinQ ON understands natural language, allowing users to control a wide range of appliances, Internet of Things (IoT) devices, and services with conversational voice commands. LG’s AI hub facilitates a truly personalized AI home lifestyle, managing everything from lifestyle services to helping kids get a good night’s sleep.

Intelligently Personalized AI Home Lifestyles for Every Generation, Family and Pet
The Second Youth Home exemplifies LG’s commitment to enhancing the lives of the elderly by easing household chores and enriching leisure activities. Powered by ThinQ ON, this space highlights how conversational voice-recognition and seamless coordination of home appliances – for example, automatically setting the dryer to “Activewear course” once the washing machine finishes a workload – simplify home management. The AI hub can also provide voice briefings to keep users informed of what’s going on, relieve stress by offering guidance for tasks such as booking a taxi, and estimate travel time to the selected destinations.

In the Affectionate Home zone, the focus is on AI solutions designed to help families care, especially for children and pets. The Self-Driving AI Home Hub, capable of controlling AI appliances and IoT sensors, adjusts device settings and environmental conditions to meet children’s needs. For example, it can activate Sleep Mode at bedtime, dimming lights and adding a starlight effect to help kids drift off to sleep. Additionally, the hub supports learning by using generative AI to create stories from children’s drawings.

For easier pet care, LG’s AI Home Solution manages connected appliances and devices to maintain fresh air and clean floors. Air-quality sensors intelligently control the LG PuriCare Alpha Pet Double air purifier, while temperature and humidity sensors manage the DUALCOOL air conditioner, automatically adjusting mode and air flow to suit current conditions. The robot vacuum autonomously cleans the floor once after pets leave, ensuring a more pleasant living space. Additionally, the Affectionate Home zone introduces a brand-new home appliance made especially for cats (and their owners). The innovative LG AeroCat combines a cat bed with an air purifier to offer a comfortable resting spot for cats and a fresher atmosphere for their human companions.

In the Delightful Home zone, ThinQ ON takes center stage in creating a more convenient culinary experience by engaging with visitors and providing personalized recipe recommendations as well as nutritional analysis. Visitors can also enjoy live cooking demonstrations, such as the “AI Talking Cooking Show,” savor the delicious dishes prepared by LG’s AI ovens with built-in cameras, and see how the InstaView with MoodUP refrigerator enhances the ambiance.

Next up is the Smart Green Home, a self-sustaining abode featuring high-efficiency appliances, including the advanced Therma V R290 Monobloc air-to-water heat pump and state-of-the-art heating, ventilation, and air conditioning (HVAC) system. LG AI optimizes household energy usage in real time, adjusting device settings and schedules in accordance with users’ lifestyles and routines, while accounting for fluctuations in electricity rates. ThinQ ON also helps reduce household energy costs by intelligently managing the power consumption of all connected devices.

Innovating the AI Home Ecosystem and Key Technologies with LG AI
The LG Affectionate Intelligence zone showcases the scalability of LG’s Affectionate Intelligence with ThinQ ON at its core. Utilizing LG’s own generative AI technology and advanced security solutions, ThinQ ON acts as the central hub of diverse IoT ecosystems enhanced by a range of LG’s IoT sensors and devices. These include motion and light sensors, temperature and humidity sensors and smart buttons, all providing real-time spatial information for personalized, AI-driven home services.

The zone also highlights how LG’s open AI ecosystem integrates third-party services to enrich the customer experience and demonstrates the versatility of IoT sensors that can even connect non-AI appliances to the AI Home system. The exhibit underscores the scalability of LG’s AI solutions, giving visitors a real sense of the intelligent and responsive living environment LG is creating.

What’s more, the LG Affectionate Intelligence zone illustrates how ThinQ ON serves as the home’s central hub, working in complete harmony with LG’s ThinQ UP and ThinQ app, and a wide variety of services and solutions. This creates an exceptionally personalized experience and fosters a continuously-growing AI home ecosystem.

Finally, the AI to the Core zone highlights the cutting-edge innovation of LG’s AI Core-Tech, including the AI DD and the AI DUAL Inverter. The integration of LG’s latest AI solutions with industry-leading core technologies delivers more precise control, improved energy efficiency and enhanced personalization.

“Our Affectionate Intelligence Home solutions at IFA 2024 will enable customers to experience the ease of the Zero Labor Home, where they can enjoy a life free from mundane household chores,” said Lyu Jae-cheol, president of LG Electronics Home Appliance & Air Solution Company. “We will continue to lead the AI home era with our Affectionate Intelligence solutions and state-of-the-art core technologies.”

Visitors to LG’s booth at IFA 2024 from September 6-10 can discover the unprecedented customizability and convenience of the company’s latest Affectionate Intelligence Home solutions.

About LG Electronics Home Appliance & Air Solution Company
The LG Home Appliance & Air Solution Company is a global leader in home appliances, air solutions as well as smart home solutions featuring LG ThinQ. The company is creating various solutions with its industry leading core technologies and is committed to making life better and sustainable for consumers and the planet by developing thoughtfully designed kitchen appliances, living appliances, HVAC and air purification solutions. Together, these products deliver enhanced convenience, superb performance, efficient operation and sustainable lifestyle solutions.

For more information on LG “Experience, Affectionate Intelligence (AI) Home” or ThinQ ON, visit the website here.

LG Business Cloud Announced at InfoComm 2024

The post ThinQ ON is Central to LG’s Affectionate Intelligence Home appeared first on Digital IT News.

Technologies Influencing AI Trends This Summer

Taylor Graham — Fri, 30 Aug 2024 13:00:16 +0000

Technologies play a role in how AI is implemented. Learn how tech has influenced AI trends this summer from the experts.

Manufacturing Companies Are Slowly Integrating AI

AI is being investigated by many participants in the manufacturing sector, both large and small companies. However, only large companies like Siemens, FANUC, some major robotics companies, and larger automotive and aerospace firms, as well as pharmaceutical companies, can afford to implement AI meaningfully.

AI is still too early in its development cycle to have numerous ready-made applications, making it difficult to implement. AI applications need to be built on a case-by-case basis since there are no off-the-shelf manufacturing applications that use AI natively. As a result, only large companies are currently taking advantage of AI.

Despite this, there is widespread excitement about AI, with many companies starting to use it at the ChatGPT level, such as writing better marketing copy, which is an excellent use case. The challenge, however, is that AI applications are slow to develop because they require a lot of data to be effective. Manufacturing is a great industry for AI as it generates a lot of measurable data and hard facts. But most manufacturing companies are under-digitized, so medium-sized and smaller companies are rapidly trying to digitize their data and create AI-ready repositories. They know they will benefit greatly from AI once they accomplish this, but it is a big and expensive task. Consequently, adoption will be slow, except at the highest levels. – Rhonda Dibachi, CEO at HeyScottie

Hackathons Hit the Wall

2023 and early 2024 saw a raft of internal projects leveraging public AI-as-a-Service vendors for prototyping. However, the gap between prototype and productionisation will lead most of these projects to hit a wall and require working with specialized vendors who can amortize deeper R&D across many customers. – Dev Nag, CEO/Founder at QueryPal

An Influx of Point Solution Companies Implementing AI

The market is still really strong and bullish on GenAI solutions that can create new industries and categories or disrupt existing ones.

Sectors such as medicine, healthcare and financial services are seeing a massive influx of companies creating point solutions that deploy AI in new ways that create value.

For example, tons of companies in the healthcare space are using AI to create new drugs and treatments that would not exist without the massive compute and processing power available to them via the AI boom. – Matt Biringer,CEO at North

Reimaging Computing Experiences and Infrastructure

The enterprise IT sector is poised for a profound transformation driven by artificial intelligence (AI), marking a seismic shift towards more agile, fast, and cost-efficient operations. As computing power continues to advance, AI’s integration into every facet of digital work—from software development to application delivery—is reshaping traditional IT frameworks and architectures. This shift not only speeds up development processes through AI-driven tools like intelligent code completion and automated testing but also disrupts application delivery models, necessitating faster and more flexible deployment methods such as continuous integration and delivery (CI/CD). Enterprises are thus compelled to fundamentally reimagine their computing experiences and infrastructure to harness AI’s full potential. This transition towards AI-enhanced environments promises significant enhancements in productivity, innovation speed, and operational efficiency, offering a competitive edge in the swiftly evolving digital landscape. – Prashant Ketkar, CTO at Parallels.

AI-assisted Linguistic Services in Healthcare

In healthcare, applying AI technology to language and interpreting services has yet to become standard practice when assisting patients with limited English proficiency (LEP) – but that is about to change. It is common knowledge that providers are bound by law to provide linguistics services support to patients in their language of choice. That means that live interpreters typically can be found in hospitals, particularly the emergency room (ER). Beyond the ER, however, most LEP patients are on their own, trying to decipher a hospital menu to order a meal or when simply asking for help. AI can and should be considered to fill patient touchpoint gaps, especially in non-emergent medical situations. Another reason to consider AI application: America is home to 46.2 million immigrants, with over three-quarters holding legal status, marking the highest population in U.S. history as of 2022. Investment in AI-assisted language solutions can help healthcare leaders successfully address three top motives to better serve their non-English-speaking patient population: Cost, efficiency, and quality and engagement. Moreover, AI-assisted enhancements help to level up the quality of the interpreting experience and vastly improve patient compliance and outcomes. – Dipak Patel, CEO at GLOBO Language Solutions

Using AI to Automate Sales

I think one area where we are starting to see the applied use of AI is in the AdTech/MarTech vertical, which is applicable to all businesses and not just travel. Those of us who live and breathe marketing [my entire career has been in technology-based marketing]have now spent the past few years dabbling with generative AI in content creation and workflows. But now, we marketers are looking at how we can automate sales and not just marketing. We have experimented with conversational agents and chat/telephony ourselves, and have seen others experiment here too, with the corporate direction to improve conversion rates and sales success. – John Lyotier, CEO and Founder at TravelAI

Hybrid Switches

As AI continues to advance, hybrid switches that support both PCIe 5.0 and CXL 2.0 will become indispensable in the next generation of AI infrastructure. These hybrid solutions will be the key to overcoming the increasingly complex demands of AI workloads, offering the flexibility to handle both high-speed data transfer and efficient memory sharing. I predict that the adoption of hybrid switches will accelerate, becoming a standard in AI systems, enabling seamless scalability, and future-proofing AI infrastructure across industries. This shift will drive significant innovation, allowing AI applications to reach new heights in performance and efficiency. – Gerry Fan, CEO at XConn Technologies

Enhance Strategic Decision Making With AI Cost Estimation

In the rapidly evolving landscape of IT and digital engineering, we’re seeing a growing demand for cost management technology that allows businesses to streamline projects with AI-driven insights and analysis. The integration of generative AI enables users to leverage sophisticated predictive analytics and machine learning enhancements, so businesses can deliver projects on time, within budget, and with optimal resource utilization. By analyzing extensive historical data, AI models can make highly accurate predictions, learning from past projects to reduce the likelihood of cost overruns.

Its ability to learn and evolve is one of AI’s most compelling features within cost estimation. With each completed project, AI systems refine their algorithms, leading to more accurate estimates in future projects. This continuous improvement is crucial for industries where precision in cost estimation is paramount. Also, AI can continuously update estimates as projects progress and conditions change, such as supply chain disruptions or labor shortages. This approach ensures that estimates remain relevant and accurate throughout the project’s lifespan.

AI has the ability to automate routine and repetitive tasks in cost estimation, which frees up human experts to focus on the more complex and strategic aspects, enhancing overall efficiency. AI also excels in taking into account the unique requirements of each project, including local labor and material costs, to tailor estimates accordingly, ensuring estimates are accurate and relevant to the specifics of each project.

While AI offers a range of advantages in cost estimation, it’s crucial to approach its adoption with a balanced perspective, acknowledging its potential benefits and limitations. Integrating AI in cost estimation is not just about adopting new technology; it’s about enhancing the strategic decision-making process in project management. – Charles Orlando, Chief Marketing Officer at Galorath Incorporated

Federated Learning

Federated Learning is an innovation that is very interesting. Instead of taking all data to one main place for processing, this method lets different devices or servers work together without sharing the raw data directly. It’s a big win for privacy and security, and businesses are loving it.

Federated Learning smartly fixes privacy concerns about data. It allows businesses to use AI capabilities while protecting personal information securely. – Erik Severinghaus, Founder and CEO at Bloomfilter

Edge AI: Smarter Devices Without the Wait

So, you know when you ask your phone how to go somewhere, and it takes a long time to answer? Edge AI is making this better by putting the smart thinking directly on your device. This means quicker replies, less information stored in the cloud, and improved privacy. Shops are using it to guess what you might wish to purchase before you even realize it yourself, making shopping easier and more tailored for each person. It feel like your phone or favorite shop know you more than you know yourself! – Ghazenfer Monsoor, Founder and CEO at Technology Rivers

Organizational Use of AI Forensics and AI Visibility

The technology to secure the generative artificial intelligence (GenAI) organizations are now leveraging has only been around since the first half of 2024. While GenAI’s adoption has become widespread and organizations are seeing its potential for business value, we’re also still learning about the negative impacts of GenAI, how to avoid them along with security risks, and how to ethically harness GenAI’s power.

As we get further into 2024, organizations are going to need to take more proactive approaches to their GenAI applications and strategies to see the full benefits. One example is ensuring both AI forensics and AI visibility capabilities are available across all internal networks. This would look like auditing capabilities of all AI prompts and applications, including traceability, transparency, compliance, and risk management.

Should the worst happen, AI forensics could be a game-changer for organizations by giving them clear visibility into potential risks, tools being used, and who used them, as well as the prompts ingested by the AI models.

Organizations are finding out they cannot manage what they can’t see, making AI forensics and AI visibility a top priority for those looking to ensure even approved GenAI applications don’t pose a potential threat to security posture. – Arti Raman, CEO and founder at Portal26

Utilizing AI to Improved User Experience

We are now in the phase where the rubber hits the road, lots of customers are realising the promises of AI changing the way they operate was more hype than Truth. The only businesses that have benefited from the huge hype of LLM/Chat GPT etc are the ones that were selling “Shovels in the gold rush” which are Microsoft azure, AWS, Databricks, etc.

But, that said we will see some revolutionary products that are based on improving user experience become even bigger and capturing more market. To take an example perplexity.ai, it is a serious challenger to google. Perplexity with its unique combination of blending search with the power of Large Language models is an awesome win for a new age company battling the behemoths. – Shubh Chatterjee, Founding Scientist at ALgoxlab LLC

Continued Progress in Quantum AI

I would like to highlight Quantum AI – it’s bound to be a true game-changer in computing. Although still theoretical, combining the principles of quantum mechanics with AI will allow us to process information at speeds and efficiency far beyond traditional computers. This opens the possibility of AI on the proverbial steroids. This is because quantum computers use qubits, which can exist in multiple states at once, such as one and zero, resulting in exponential computing power enabling them to solve complex problems much faster. This capability will enhance AI’s ability to analyze and predict outcomes. It might be the road that takes us to the much-discussed GAI or General Artificial Intelligence – the kind we’ve only seen in sci-fi movies not actual product demos.

The progress of quantum computing has been slow due to the specific conditions required to develop and operate qubits. However, this year has been a banner year for quantum computing, with exciting breakthroughs happening just this summer. Researchers have made significant progress in overcoming a major hurdle: creating stable qubits. One approach utilizes femtosecond lasers for precise manipulation.

Another breakthrough involves manipulating defects in a silicon crystal lattice, using lasers to create high-quality qubits in silicon by introducing hydrogen atoms into defects. This technique allows for not only creation but also erasure of qubits – key for a more controlled and reliable system.

While it’s still challenging to get qubits to “talk” to each other, for example, these advancements represent significant progress in building a functional quantum computer.

To give you a business case of quantum AI and computing, it could revolutionize pharmaceutical R&D. Traditionally, drug discovery has been painfully slow and expensive. This is because it involves analyzing massive datasets and simulating countless molecular interactions in different scenarios. Quantum AI could accelerate this process severalfold by performing these simulations more efficiently and accurately. Basically, this would allow us to identify promising (and potentially – much more efficient) drug candidates much faster and at a lower cost, which could revolutionize how we develop new medications leading us to genetically personalized medicine etc.- Ilia Badeev, Head of Data Science at Trevolution Group

Data Architectures

In the burgeoning era of data dominance, businesses are keenly pursuing AI integration as a competitive lever, recognizing the necessity of modernizing data architectures to harness the full potential of Generative AI (GenAI) and advanced analytics. This imperative drives a demand for vendors who can deliver foundational technologies—such as robust data management, rapid data transfer, and reliable disaster recovery. As concerns over GenAI misuse persist, the need for secure, recoverable AI data becomes paramount, necessitating advanced data migration technologies and real-time cloud replication to support near-zero recovery time objectives (RTO) and recovery point objectives (RPO). Companies like Microsoft Azure and AWS are pivotal in demystifying AI and crafting tailored AI strategies for businesses, ensuring a seamless blend of AI into their strategic and technological frameworks. Over the next five years, as firms increasingly focus on monetizing AI-driven applications, those vendors that prioritize customer monetization outcomes and can efficiently move, protect, and recover large data sets will likely emerge as leaders. This shift emphasizes not only the technical integration of AI but also strategic alignment with business goals to optimize investment and maximize returns from GenAI initiatives. – Paul Scott-Murphy, Chief Technology Officer at Cirata

Open-source Decentralized AI

The current trends are 100% around developing an open-source decentralized AI model. The fact that large companies can skew the input models is leading to a full-court press to build out a totally open-source product. Many Depin platforms are a natural fit to deploy this robust decentralized AI model. The future of the people depends on unadulterated input models to ensure rock-solid output models. – Daniel Keller, CEO & Co-founder at InFlux

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